From e7e68fe5c561314df947bab63e468607c0899f00 Mon Sep 17 00:00:00 2001 From: Laveesh Rohra Date: Mon, 3 Nov 2025 08:33:34 -0800 Subject: [PATCH 01/19] Python: Add Scaffolding for Durable AzureFunctions package to Agent Framework (#1823) * Add scafolding * update readme * add code owners and label * update owners --- .github/CODEOWNERS | 4 + python/packages/azurefunctions/LICENSE | 21 ++++ python/packages/azurefunctions/README.md | 22 ++++ .../__init__.py | 1 + python/packages/azurefunctions/pyproject.toml | 93 ++++++++++++++ python/uv.lock | 113 ++++++++++++++---- 6 files changed, 234 insertions(+), 20 deletions(-) create mode 100644 .github/CODEOWNERS create mode 100644 python/packages/azurefunctions/LICENSE create mode 100644 python/packages/azurefunctions/README.md create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py create mode 100644 python/packages/azurefunctions/pyproject.toml diff --git a/.github/CODEOWNERS b/.github/CODEOWNERS new file mode 100644 index 0000000000..66023c649a --- /dev/null +++ b/.github/CODEOWNERS @@ -0,0 +1,4 @@ +# Code ownership assignments +# https://docs.github.com/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-code-owners + +python/packages/azurefunctions/ @microsoft/agentframework-durabletask-developers diff --git a/python/packages/azurefunctions/LICENSE b/python/packages/azurefunctions/LICENSE new file mode 100644 index 0000000000..9e841e7a26 --- /dev/null +++ b/python/packages/azurefunctions/LICENSE @@ -0,0 +1,21 @@ + MIT License + + Copyright (c) Microsoft Corporation. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in all + copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE + AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER + LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, + OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE diff --git a/python/packages/azurefunctions/README.md b/python/packages/azurefunctions/README.md new file mode 100644 index 0000000000..a4402b98f0 --- /dev/null +++ b/python/packages/azurefunctions/README.md @@ -0,0 +1,22 @@ +# Get Started with Microsoft Agent Framework Durable Functions + +[![PyPI](https://img.shields.io/pypi/v/agent-framework-azurefunctions)](https://pypi.org/project/agent-framework-azurefunctions/) + +Please install this package via pip: + +```bash +pip install agent-framework-azurefunctions --pre +``` + +## Durable Agent Extension + +The durable agent extension lets you host Microsoft Agent Framework agents on Azure Durable Functions so they can persist state, replay conversation history, and recover from failures automatically. + +### Basic Usage Example + +See the durable functions integration sample in the repository to learn how to: + +- Register agents with `AgentFunctionApp` +- Post messages using the generated `/api/agents/{agent_name}/run` endpoint + +For more details, review the Python [README](https://github.com/microsoft/agent-framework/tree/main/python/README.md) and the samples directory. diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py b/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py new file mode 100644 index 0000000000..2a50eae894 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py @@ -0,0 +1 @@ +# Copyright (c) Microsoft. All rights reserved. diff --git a/python/packages/azurefunctions/pyproject.toml b/python/packages/azurefunctions/pyproject.toml new file mode 100644 index 0000000000..dceccce1bb --- /dev/null +++ b/python/packages/azurefunctions/pyproject.toml @@ -0,0 +1,93 @@ +[project] +name = "agent-framework-azurefunctions" +description = "Azure Functions integration for Microsoft Agent Framework." +authors = [{ name = "Microsoft", email = "af-support@microsoft.com"}] +readme = "README.md" +requires-python = ">=3.10" +version = "1.0.0b251028" +license-files = ["LICENSE"] +urls.homepage = "https://aka.ms/agent-framework" +urls.source = "https://github.com/microsoft/agent-framework/tree/main/python" +urls.release_notes = "https://github.com/microsoft/agent-framework/releases?q=tag%3Apython-1&expanded=true" +urls.issues = "https://github.com/microsoft/agent-framework/issues" +classifiers = [ + "License :: OSI Approved :: MIT License", + "Development Status :: 4 - Beta", + "Intended Audience :: Developers", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.13", + "Typing :: Typed", +] +dependencies = [ + "agent-framework-core", + "azure-functions", + "azure-functions-durable", +] + +[tool.uv] +prerelease = "if-necessary-or-explicit" +environments = [ + "sys_platform == 'darwin'", + "sys_platform == 'linux'", + "sys_platform == 'win32'" +] + +[tool.uv-dynamic-versioning] +fallback-version = "0.0.0" + +[tool.pytest.ini_options] +testpaths = 'tests' +addopts = "-ra -q -r fEX" +asyncio_mode = "auto" +asyncio_default_fixture_loop_scope = "function" +filterwarnings = [ + "ignore:Support for class-based `config` is deprecated:DeprecationWarning:pydantic.*" +] +timeout = 120 +markers = [ + "integration: marks tests as integration tests (require running function app)", + "orchestration: marks tests that use orchestrations (require Azurite)", +] + +[tool.ruff] +extend = "../../pyproject.toml" + +[tool.coverage.run] +omit = [ + "**/__init__.py" +] + +[tool.pyright] +extends = "../../pyproject.toml" + +[tool.mypy] +plugins = ['pydantic.mypy'] +strict = true +python_version = "3.10" +ignore_missing_imports = true +disallow_untyped_defs = true +no_implicit_optional = true +check_untyped_defs = true +warn_return_any = true +show_error_codes = true +warn_unused_ignores = false +disallow_incomplete_defs = true +disallow_untyped_decorators = true + +[tool.bandit] +targets = ["agent_framework_azurefunctions"] +exclude_dirs = ["tests"] + +[tool.poe] +executor.type = "uv" +include = "../../shared_tasks.toml" +[tool.poe.tasks] +mypy = "mypy --config-file $POE_ROOT/pyproject.toml agent_framework_azurefunctions" +test = "pytest --cov=agent_framework_azurefunctions --cov-report=term-missing:skip-covered tests" + +[build-system] +requires = ["flit-core >= 3.11,<4.0"] +build-backend = "flit_core.buildapi" diff --git 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.../DurableAIAgentProxy.cs | 81 +++++++ .../DurableAgentContext.cs | 161 +++++++++++++ .../DurableAgentJsonUtilities.cs | 88 +++++++ .../DurableAgentRunOptions.cs | 36 +++ .../DurableAgentState.cs | 79 ++++++ .../DurableAgentStateEntry.cs | 79 ++++++ .../DurableAgentThread.cs | 77 ++++++ .../DurableAgentsOptions.cs | 84 +++++++ .../EntityAgentWrapper.cs | 125 ++++++++++ .../IAgentResponseHandler.cs | 35 +++ .../IDurableAgentClient.cs | 21 ++ .../Microsoft.Agents.AI.DurableTask/Logs.cs | 31 +++ .../Microsoft.Agents.AI.DurableTask.csproj | 41 ++++ .../Microsoft.Agents.AI.DurableTask/README.md | 42 ++++ .../RunRequest.cs | 76 ++++++ .../ServiceCollectionExtensions.cs | 148 ++++++++++++ .../TaskOrchestrationContextExtensions.cs | 47 ++++ .../BuiltInFunctionExecutor.cs | 91 +++++++ .../BuiltInFunctions.cs | 150 ++++++++++++ .../CHANGELOG.md | 5 + ...DurableAgentFunctionMetadataTransformer.cs | 82 +++++++ .../DurableTaskClientExtensions.cs | 39 +++ .../FunctionsApplicationBuilderExtensions.cs | 42 ++++ ...ft.Agents.AI.Hosting.AzureFunctions.csproj | 43 ++++ .../BuiltInFunctionExecutionMiddleware.cs | 24 ++ .../README.md | 177 ++++++++++++++ .../AgentSessionIdTests.cs | 56 +++++ .../DurableAgentThreadTests.cs | 43 ++++ ...oft.Agents.AI.DurableTask.UnitTests.csproj | 13 + ...leAgentFunctionMetadataTransformerTests.cs | 95 ++++++++ ...AI.Hosting.AzureFunctions.UnitTests.csproj | 13 + 40 files changed, 2810 insertions(+) create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/AIAgentExtensions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/AgentSessionId.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgentProxy.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentContext.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentRunOptions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentThread.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentsOptions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/EntityAgentWrapper.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/IAgentResponseHandler.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/IDurableAgentClient.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/README.md create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/TaskOrchestrationContextExtensions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/CHANGELOG.md create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableTaskClientExtensions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Middlewares/BuiltInFunctionExecutionMiddleware.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/AgentSessionIdTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/DurableAgentThreadTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj create mode 100644 dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests.csproj diff --git a/dotnet/Directory.Packages.props b/dotnet/Directory.Packages.props index 69d3e03d31..65a0e39f13 100644 --- a/dotnet/Directory.Packages.props +++ b/dotnet/Directory.Packages.props @@ -93,6 +93,19 @@ + + + + + + + + + + + + + diff --git a/dotnet/agent-framework-dotnet.slnx b/dotnet/agent-framework-dotnet.slnx index 86eee2fbbe..aee9bdb1f6 100644 --- a/dotnet/agent-framework-dotnet.slnx +++ b/dotnet/agent-framework-dotnet.slnx @@ -274,8 +274,10 @@ + + @@ -299,7 +301,9 @@ + + diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/AIAgentExtensions.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/AIAgentExtensions.cs new file mode 100644 index 0000000000..4f5619ac76 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/AIAgentExtensions.cs @@ -0,0 +1,39 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Extensions.AI; +using Microsoft.Extensions.DependencyInjection; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Extension methods for the class. +/// +public static class AIAgentExtensions +{ + /// + /// Converts an AIAgent to a durable agent proxy. + /// + /// The agent to convert. + /// The service provider. + /// The durable agent proxy. + /// + /// Thrown when the agent is a DurableAIAgent instance or if the agent has no name. + /// + /// + /// Thrown if does not contain an . + /// + public static AIAgent AsDurableAgentProxy(this AIAgent agent, IServiceProvider services) + { + // Don't allow this method to be used on DurableAIAgent instances. + if (agent is DurableAIAgent) + { + throw new ArgumentException( + $"{nameof(DurableAIAgent)} instances cannot be converted to a durable agent proxy.", + nameof(agent)); + } + + string agentName = agent.Name ?? throw new ArgumentException("Agent must have a name.", nameof(agent)); + IDurableAgentClient agentClient = services.GetRequiredService(); + return new DurableAIAgentProxy(agentName, agentClient); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs new file mode 100644 index 0000000000..8c5c265f2d --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs @@ -0,0 +1,133 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.DurableTask.Client; +using Microsoft.DurableTask.Entities; +using Microsoft.Extensions.AI; +using Microsoft.Extensions.DependencyInjection; +using Microsoft.Extensions.Hosting; +using Microsoft.Extensions.Logging; + +namespace Microsoft.Agents.AI.DurableTask; + +internal class AgentEntity(IServiceProvider services, CancellationToken cancellationToken = default) : TaskEntity +{ + private readonly IServiceProvider _services = services; + private readonly DurableTaskClient _client = services.GetRequiredService(); + private readonly ILoggerFactory _loggerFactory = services.GetRequiredService(); + private readonly IAgentResponseHandler? _messageHandler = services.GetService(); + private readonly CancellationToken _cancellationToken = cancellationToken != default + ? cancellationToken + : services.GetService()?.ApplicationStopping ?? CancellationToken.None; + + public async Task RunAgentAsync(RunRequest request) + { + AgentSessionId sessionId = this.Context.Id; + IReadOnlyDictionary> agents = + this._services.GetRequiredService>>(); + if (!agents.TryGetValue(sessionId.Name, out Func? agentFactory)) + { + throw new InvalidOperationException($"Agent '{sessionId.Name}' not found"); + } + + AIAgent agent = agentFactory(this._services); + EntityAgentWrapper agentWrapper = new(agent, this.Context, request, this._services); + + // Logger category is Microsoft.DurableTask.Agents.{agentName}.{sessionId} + ILogger logger = this._loggerFactory.CreateLogger($"Microsoft.DurableTask.Agents.{agent.Name}.{sessionId.Key}"); + + if (request.Messages.Count == 0) + { + logger.LogInformation("Ignoring empty request"); + } + + // TODO: Get state from optional state store + DurableAgentState state = this.State; + + foreach (ChatMessage msg in request.Messages) + { + logger.LogAgentRequest(sessionId, msg.Role, msg.Text); + state.AddChatMessage(msg); + } + + // Set the current agent context for the duration of the agent run. This will be exposed + // to any tools that are invoked by the agent. + DurableAgentContext agentContext = new( + entityContext: this.Context, + client: this._client, + lifetime: this._services.GetRequiredService(), + services: this._services); + DurableAgentContext.SetCurrent(agentContext); + + try + { + // Start the agent response stream + IAsyncEnumerable responseStream = agentWrapper.RunStreamingAsync( + state.EnumerateChatMessages(), + agentWrapper.GetNewThread(), + options: null, + this._cancellationToken); + + AgentRunResponse response; + if (this._messageHandler is null) + { + // If no message handler is provided, we can just get the full response at once. + // This is expected to be the common case for non-interactive agents. + response = await responseStream.ToAgentRunResponseAsync(this._cancellationToken); + } + else + { + List responseUpdates = []; + + // To support interactive chat agents, we need to stream the responses to an IAgentMessageHandler. + // The user-provided message handler can be implemented to send the responses to the user. + // We assume that only non-empty text updates are useful for the user. + async IAsyncEnumerable StreamResultsAsync() + { + await foreach (AgentRunResponseUpdate update in responseStream) + { + // We need the full response further down, so we piece it together as we go. + responseUpdates.Add(update); + + // Yield the update to the message handler. + yield return update; + } + } + + await this._messageHandler.OnStreamingResponseUpdateAsync(StreamResultsAsync(), this._cancellationToken); + response = responseUpdates.ToAgentRunResponse(); + } + + // Persist the agent response to the entity state for client polling + state.AddAgentResponse(response, request.CorrelationId); + + string responseText = response.Text; + + if (!string.IsNullOrEmpty(responseText)) + { + logger.LogAgentResponse( + sessionId, + response.Messages.FirstOrDefault()?.Role ?? ChatRole.Assistant, + responseText, + response.Usage?.InputTokenCount, + response.Usage?.OutputTokenCount, + response.Usage?.TotalTokenCount); + } + + this.UpdateEntityState(state); + + return response; + } + finally + { + // Clear the current agent context + DurableAgentContext.ClearCurrent(); + } + } + + private void UpdateEntityState(DurableAgentState state) + { + // This method is called to update the state of the entity. + // It can be used to persist the state to a durable store if needed. + this.State = state; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs new file mode 100644 index 0000000000..6df24d3832 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs @@ -0,0 +1,65 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.DurableTask.Client; +using Microsoft.DurableTask.Client.Entities; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Represents a handle for a running agent request that can be used to retrieve the response. +/// +internal sealed class AgentRunHandle +{ + private readonly DurableTaskClient _client; + + internal AgentRunHandle(DurableTaskClient client, AgentSessionId sessionId, string correlationId) + { + this._client = client; + this.SessionId = sessionId; + this.CorrelationId = correlationId; + } + + /// + /// Gets the correlation ID for this request. + /// + public string CorrelationId { get; } + + /// + /// Gets the session ID for this request. + /// + public AgentSessionId SessionId { get; } + + /// + /// Reads the agent response for this request by polling the entity state until the response is found. + /// Uses an exponential backoff polling strategy with a maximum interval of 1 second. + /// + /// The cancellation token. + /// The agent response corresponding to this request. + /// Thrown when the response is not found after polling. + public async Task ReadAgentResponseAsync(CancellationToken cancellationToken = default) + { + TimeSpan pollInterval = TimeSpan.FromMilliseconds(50); // Start with 50ms + TimeSpan maxPollInterval = TimeSpan.FromSeconds(3); // Maximum 3 seconds + + while (true) + { + // Poll the entity state for responses + EntityMetadata? entityResponse = await this._client.Entities.GetEntityAsync( + this.SessionId, + cancellation: cancellationToken); + DurableAgentState? state = entityResponse?.State; + + // Look for an agent response with matching CorrelationId + if (state is not null && state.TryGetAgentResponse(this.CorrelationId, out AgentRunResponse? response)) + { + return response; + } + + // Wait before polling again with exponential backoff + await Task.Delay(pollInterval, cancellationToken); + + // Double the poll interval, but cap it at the maximum + pollInterval = TimeSpan.FromMilliseconds(Math.Min(pollInterval.TotalMilliseconds * 2, maxPollInterval.TotalMilliseconds)); + } + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentSessionId.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentSessionId.cs new file mode 100644 index 0000000000..f183ec84dc --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentSessionId.cs @@ -0,0 +1,165 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; +using Microsoft.DurableTask.Entities; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Represents an agent session ID, which is used to identify a long-running agent session. +/// +[JsonConverter(typeof(AgentSessionIdJsonConverter))] +public readonly struct AgentSessionId : IEquatable +{ + private const string EntityNamePrefix = "dafx-"; + private readonly EntityInstanceId _entityId; + + /// + /// Initializes a new instance of the struct. + /// + /// The name of the agent that owns the session (case-insensitive). + /// The unique key of the agent session (case-sensitive). + public AgentSessionId(string name, string key) + { + this.Name = name; + this._entityId = new EntityInstanceId(ToEntityName(name), key); + } + + /// + /// Converts an agent name to its underlying entity name representation. + /// + /// The agent name. + /// The entity name used by Durable Task for this agent. + public static string ToEntityName(string name) => $"{EntityNamePrefix}{name}"; + + /// + /// Gets the name of the agent that owns the session. Names are case-insensitive. + /// + public string Name { get; } + + /// + /// Gets the unique key of the agent session. Keys are case-sensitive and are used to identify the session. + /// + public string Key => this._entityId.Key; + + internal EntityInstanceId ToEntityId() => this._entityId; + + /// + /// Creates a new with the specified name and a randomly generated key. + /// + /// The name of the agent that owns the session. + /// A new with the specified name and a random key. + public static AgentSessionId WithRandomKey(string name) => + new(name, Guid.NewGuid().ToString("N")); + + /// + /// Determines whether two instances are equal. + /// + /// The first to compare. + /// The second to compare. + /// true if the two instances are equal; otherwise, false. + public static bool operator ==(AgentSessionId left, AgentSessionId right) => + left._entityId == right._entityId; + + /// + /// Determines whether two instances are not equal. + /// + /// The first to compare. + /// The second to compare. + /// true if the two instances are not equal; otherwise, false. + public static bool operator !=(AgentSessionId left, AgentSessionId right) => + left._entityId != right._entityId; + + /// + /// Determines whether the specified is equal to the current . + /// + /// The to compare with the current . + /// true if the specified is equal to the current ; otherwise, false. + public bool Equals(AgentSessionId other) => this == other; + + /// + /// Determines whether the specified object is equal to the current . + /// + /// The object to compare with the current . + /// true if the specified object is equal to the current ; otherwise, false. + public override bool Equals(object? obj) => obj is AgentSessionId other && this == other; + + /// + /// Returns the hash code for this . + /// + /// A hash code for the current . + public override int GetHashCode() => this._entityId.GetHashCode(); + + /// + /// Returns a string representation of this in the form of @name@key. + /// + /// A string representation of the current . + public override string ToString() => this._entityId.ToString(); + + /// + /// Converts the string representation of an agent session ID to its equivalent. + /// The input string must be in the form of @name@key. + /// + /// A string containing an agent session ID to convert. + /// A equivalent to the agent session ID contained in . + /// Thrown when is not a valid agent session ID format. + public static AgentSessionId Parse(string sessionIdString) + { + EntityInstanceId entityId = EntityInstanceId.FromString(sessionIdString); + if (!entityId.Name.StartsWith(EntityNamePrefix, StringComparison.OrdinalIgnoreCase)) + { + throw new ArgumentException($"'{sessionIdString}' is not a valid agent session ID.", nameof(sessionIdString)); + } + + return new AgentSessionId(entityId.Name[EntityNamePrefix.Length..], entityId.Key); + } + + /// + /// Implicitly converts an to an . + /// This conversion is useful for entity API interoperability. + /// + /// The to convert. + /// The equivalent . + public static implicit operator EntityInstanceId(AgentSessionId agentSessionId) => agentSessionId.ToEntityId(); + + /// + /// Implicitly converts an to an . + /// + /// The to convert. + /// The equivalent . + [System.Diagnostics.CodeAnalysis.SuppressMessage("Design", "CA1065:Do not raise exceptions in unexpected locations", Justification = "Implicit conversion must validate format.")] + public static implicit operator AgentSessionId(EntityInstanceId entityId) + { + if (!entityId.Name.StartsWith(EntityNamePrefix, StringComparison.OrdinalIgnoreCase)) + { + throw new ArgumentException($"'{entityId}' is not a valid agent session ID.", nameof(entityId)); + } + return new AgentSessionId(entityId.Name[EntityNamePrefix.Length..], entityId.Key); + } + + /// + /// Custom JSON converter for to ensure proper serialization and deserialization. + /// + public sealed class AgentSessionIdJsonConverter : JsonConverter + { + /// + public override AgentSessionId Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options) + { + if (reader.TokenType != JsonTokenType.String) + { + throw new JsonException("Expected string value"); + } + + string value = reader.GetString() ?? string.Empty; + + return Parse(value); + } + + /// + public override void Write(Utf8JsonWriter writer, AgentSessionId value, JsonSerializerOptions options) + { + writer.WriteStringValue(value.ToString()); + } + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md b/dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md new file mode 100644 index 0000000000..e908deac89 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/CHANGELOG.md @@ -0,0 +1,5 @@ +# Release History + +## v1.0.0-preview.* (Unreleased) + +- Initial public release. diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs new file mode 100644 index 0000000000..e19b7ae742 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs @@ -0,0 +1,34 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.DurableTask.Client; +using Microsoft.Extensions.Logging; + +namespace Microsoft.Agents.AI.DurableTask; + +internal class DefaultDurableAgentClient(DurableTaskClient client, ILoggerFactory? loggerFactory = null) : IDurableAgentClient +{ + private readonly DurableTaskClient _client = client; + private readonly ILogger? _logger = loggerFactory?.CreateLogger(); + + public async Task RunAgentAsync( + AgentSessionId sessionId, + RunRequest request, + CancellationToken cancellationToken = default) + { + ArgumentNullException.ThrowIfNull(request); + + // The correlation ID is used to fetch the correct response later. + request.CorrelationId = Guid.NewGuid().ToString("N"); + + // TODO: Use source generators to log the request + this._logger?.LogInformation("Signalling agent with session ID '{SessionId}'", sessionId); + + await this._client.Entities.SignalEntityAsync( + sessionId, + nameof(AgentEntity.RunAgentAsync), + request, + cancellation: cancellationToken); + + return new AgentRunHandle(this._client, sessionId, request.CorrelationId); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs new file mode 100644 index 0000000000..7134fcd16f --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs @@ -0,0 +1,228 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics.CodeAnalysis; +using System.Runtime.CompilerServices; +using System.Text.Json; +using System.Text.Json.Serialization.Metadata; +using Microsoft.DurableTask; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// A durable AIAgent implementation that uses entity methods to interact with agent entities. +/// +public sealed class DurableAIAgent : AIAgent +{ + private readonly TaskOrchestrationContext _context; + private readonly string _agentName; + + /// + /// Initializes a new instance of the class. + /// + /// The orchestration context. + /// The name of the agent. + internal DurableAIAgent(TaskOrchestrationContext context, string agentName) + { + this._context = context; + this._agentName = agentName; + } + + /// + /// Creates a new agent thread for this agent using a random session ID. + /// + /// A new agent thread. + public override AgentThread GetNewThread() + { + AgentSessionId sessionId = this._context.NewAgentSessionId(this._agentName); + return new DurableAgentThread(sessionId); + } + + /// + /// Deserializes an agent thread from JSON. + /// + /// The serialized thread data. + /// Optional JSON serializer options. + /// The deserialized agent thread. + public override AgentThread DeserializeThread( + JsonElement serializedThread, + JsonSerializerOptions? jsonSerializerOptions = null) + { + return DurableAgentThread.Deserialize(serializedThread, jsonSerializerOptions); + } + + /// + /// Runs the agent with messages and returns the response. + /// + /// The messages to send to the agent. + /// The agent thread to use. + /// Optional run options. + /// The cancellation token. + /// The response from the agent. + public override async Task RunAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) + { + if (cancellationToken != default && cancellationToken.CanBeCanceled) + { + throw new NotSupportedException("Cancellation is not supported for durable agents."); + } + + thread ??= this.GetNewThread(); + if (thread is not DurableAgentThread durableThread) + { + throw new ArgumentException( + "The provided thread is not valid for a durable agent. " + + "Create a new thread using GetNewThread or provide a thread previously created by this agent.", + paramName: nameof(thread)); + } + + IList? enableToolNames = null; + bool enableToolCalls = true; + ChatResponseFormat? responseFormat = null; + if (options is DurableAgentRunOptions durableOptions) + { + enableToolCalls = durableOptions.EnableToolCalls; + enableToolNames = durableOptions.EnableToolNames; + responseFormat = durableOptions.ResponseFormat; + } + else if (options is ChatClientAgentRunOptions chatClientOptions && chatClientOptions.ChatOptions?.Tools != null) + { + // Honor the response format from the chat client options if specified + responseFormat = chatClientOptions.ChatOptions?.ResponseFormat; + } + + RunRequest request = new([.. messages], responseFormat, enableToolCalls, enableToolNames); + return await this._context.Entities.CallEntityAsync(durableThread.SessionId, nameof(AgentEntity.RunAgentAsync), request); + } + + /// + /// Runs the agent with messages and returns a simulated streaming response. + /// + /// + /// Streaming is not supported for durable agents, so this method just returns the full response + /// as a single update. + /// + /// The messages to send to the agent. + /// The agent thread to use. + /// Optional run options. + /// The cancellation token. + /// A streaming response enumerable. + public override async IAsyncEnumerable RunStreamingAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + [EnumeratorCancellation] CancellationToken cancellationToken = default) + { + // Streaming is not supported for durable agents, so we just return the full response + // as a single update. + AgentRunResponse response = await this.RunAsync(messages, thread, options, cancellationToken); + foreach (AgentRunResponseUpdate update in response.ToAgentRunResponseUpdates()) + { + yield return update; + } + } + + /// + /// Runs the agent with a message and returns the deserialized output as an instance of . + /// + /// The message to send to the agent. + /// The agent thread to use. + /// Optional JSON serializer options. + /// Optional run options. + /// The cancellation token. + /// The type of the output. + /// + /// Thrown when the provided already contains a response schema. + /// Thrown when the provided is not a . + /// + /// + /// Thrown when the agent response is empty or cannot be deserialized. + /// + /// The output from the agent. + public async Task> RunAsync( + string message, + AgentThread? thread = null, + JsonSerializerOptions? serializerOptions = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) + { + return await this.RunAsync([new ChatMessage(ChatRole.User, message)], thread, serializerOptions, options, cancellationToken); + } + + /// + /// Runs the agent with messages and returns the deserialized output as an instance of . + /// + /// The messages to send to the agent. + /// The agent thread to use. + /// Optional JSON serializer options. + /// Optional run options. + /// The cancellation token. + /// The type of the output. + /// + /// Thrown when the provided already contains a response schema. + /// Thrown when the provided is not a . + /// + /// + /// Thrown when the agent response is empty or cannot be deserialized. + /// + /// The output from the agent. + [UnconditionalSuppressMessage("Trimming", "IL2026", Justification = "Fallback to reflection-based deserialization is intentional for library flexibility with user-defined types.")] + [UnconditionalSuppressMessage("ReflectionAnalysis", "IL3050", Justification = "Fallback to reflection-based deserialization is intentional for library flexibility with user-defined types.")] + public async Task> RunAsync( + IEnumerable messages, + AgentThread? thread = null, + JsonSerializerOptions? serializerOptions = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) + { + options ??= new DurableAgentRunOptions(); + if (options is not DurableAgentRunOptions durableOptions) + { + throw new ArgumentException( + "Response schema is only supported with DurableAgentRunOptions when using durable agents. " + + "Cannot specify a response schema when calling RunAsync.", + paramName: nameof(options)); + } + + if (durableOptions.ResponseFormat is not null) + { + throw new ArgumentException( + "A response schema is already defined in the provided DurableAgentRunOptions. " + + "Cannot specify a response schema when calling RunAsync.", + paramName: nameof(options)); + } + + // Create the JSON schema for the response type + durableOptions.ResponseFormat = ChatResponseFormat.ForJsonSchema(); + + AgentRunResponse response = await this.RunAsync(messages, thread, durableOptions, cancellationToken); + + // Deserialize the response text to the requested type + if (string.IsNullOrEmpty(response.Text)) + { + throw new InvalidOperationException("Agent response is empty and cannot be deserialized."); + } + + serializerOptions ??= DurableAgentJsonUtilities.DefaultOptions; + + // Prefer source-generated metadata when available to support AOT/trimming scenarios. + // Fallback to reflection-based deserialization for types without source-generated metadata. + // This is necessary since T is a user-provided type that may not have [JsonSerializable] coverage. + JsonTypeInfo? typeInfo = serializerOptions.GetTypeInfo(typeof(T)); + T? result = (typeInfo is JsonTypeInfo typedInfo + ? (T?)JsonSerializer.Deserialize(response.Text, typedInfo) + : JsonSerializer.Deserialize(response.Text, serializerOptions)) + ?? throw new InvalidOperationException($"Failed to deserialize agent response to type {typeof(T).Name}."); + + return new DurableAIAgentRunResponse(response, result); + } + + private sealed class DurableAIAgentRunResponse(AgentRunResponse response, T result) + : AgentRunResponse(response.AsChatResponse()) + { + public override T Result { get; } = result; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgentProxy.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgentProxy.cs new file mode 100644 index 0000000000..58f9598a7e --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgentProxy.cs @@ -0,0 +1,81 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask; + +internal class DurableAIAgentProxy(string name, IDurableAgentClient agentClient) : AIAgent +{ + private readonly IDurableAgentClient _agentClient = agentClient; + + public override string? Name { get; } = name; + + public override AgentThread DeserializeThread( + JsonElement serializedThread, + JsonSerializerOptions? jsonSerializerOptions = null) + { + return DurableAgentThread.Deserialize(serializedThread, jsonSerializerOptions); + } + + public override AgentThread GetNewThread() + { + return new DurableAgentThread(AgentSessionId.WithRandomKey(this.Name!)); + } + + public override async Task RunAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) + { + thread ??= this.GetNewThread(); + if (thread is not DurableAgentThread durableThread) + { + throw new ArgumentException( + "The provided thread is not valid for a durable agent. " + + "Create a new thread using GetNewThread or provide a thread previously created by this agent.", + paramName: nameof(thread)); + } + + IList? enableToolNames = null; + bool enableToolCalls = true; + ChatResponseFormat? responseFormat = null; + bool isFireAndForget = false; + + if (options is DurableAgentRunOptions durableOptions) + { + enableToolCalls = durableOptions.EnableToolCalls; + enableToolNames = durableOptions.EnableToolNames; + responseFormat = durableOptions.ResponseFormat; + isFireAndForget = durableOptions.IsFireAndForget; + } + else if (options is ChatClientAgentRunOptions chatClientOptions) + { + // Honor the response format from the chat client options if specified + responseFormat = chatClientOptions.ChatOptions?.ResponseFormat; + } + + RunRequest request = new([.. messages], responseFormat, enableToolCalls, enableToolNames); + AgentSessionId sessionId = durableThread.SessionId; + + AgentRunHandle agentRunHandle = await this._agentClient.RunAgentAsync(sessionId, request, cancellationToken); + + if (isFireAndForget) + { + // If the request is fire and forget, return an empty response. + return new AgentRunResponse(); + } + + return await agentRunHandle.ReadAgentResponseAsync(cancellationToken); + } + + public override IAsyncEnumerable RunStreamingAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) + { + throw new NotSupportedException("Streaming is not supported for durable agents."); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentContext.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentContext.cs new file mode 100644 index 0000000000..94a6c00424 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentContext.cs @@ -0,0 +1,161 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; +using Microsoft.DurableTask.Entities; +using Microsoft.Extensions.DependencyInjection; +using Microsoft.Extensions.Hosting; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// A context for durable agents that provides access to orchestration capabilities. +/// This class provides thread-static access to the current agent context. +/// +public class DurableAgentContext +{ + private static readonly AsyncLocal s_currentContext = new(); + private readonly IServiceProvider _services; + private readonly CancellationToken _cancellationToken; + + internal DurableAgentContext( + TaskEntityContext entityContext, + DurableTaskClient client, + IHostApplicationLifetime lifetime, + IServiceProvider services) + { + this.EntityContext = entityContext; + this.CurrentThread = new DurableAgentThread(entityContext.Id); + this.Client = client; + this._services = services; + this._cancellationToken = lifetime.ApplicationStopping; + } + + /// + /// Gets the current durable agent context instance. + /// + /// Thrown when no agent context is available. + public static DurableAgentContext Current => s_currentContext.Value ?? + throw new InvalidOperationException("No agent context found!"); + + /// + /// Gets the entity context for this agent. + /// + public TaskEntityContext EntityContext { get; } + + /// + /// Gets the durable task client for this agent. + /// + public DurableTaskClient Client { get; } + + /// + /// Gets the current agent thread. + /// + public DurableAgentThread CurrentThread { get; } + + /// + /// Sets the current durable agent context instance. + /// This is called internally by the agent entity during execution. + /// + /// The context instance to set. + internal static void SetCurrent(DurableAgentContext context) + { + if (s_currentContext.Value is not null) + { + throw new InvalidOperationException("A DurableAgentContext has already been set for this AsyncLocal context."); + } + + s_currentContext.Value = context; + } + + /// + /// Clears the current durable agent context instance. + /// This is called internally by the agent entity after execution. + /// + internal static void ClearCurrent() + { + s_currentContext.Value = null; + } + + /// + /// Schedules a new orchestration instance. + /// + /// + /// When run in the context of a durable agent tool, the actual scheduling of the orchestration + /// occurs after the completion of the tool call. This allows the durable scheduling of the orchestration + /// and the agent state update to be committed atomically in a single transaction. + /// + /// The name of the orchestration to schedule. + /// The input to the orchestration. + /// The options for the orchestration. + /// The instance ID of the scheduled orchestration. + public string ScheduleNewOrchestration( + TaskName name, + object? input = null, + StartOrchestrationOptions? options = null) + { + return this.EntityContext.ScheduleNewOrchestration(name, input, options); + } + + /// + /// Gets the status of an orchestration instance. + /// + /// The instance ID of the orchestration to get the status of. + /// Whether to include detailed information about the orchestration. + /// The status of the orchestration. + public Task GetOrchestrationStatusAsync(string instanceId, bool includeDetails = false) + { + return this.Client.GetInstanceAsync(instanceId, includeDetails, this._cancellationToken); + } + + /// + /// Raises an event on an orchestration instance. + /// + /// The instance ID of the orchestration to raise the event on. + /// The name of the event to raise. + /// The data to send with the event. +#pragma warning disable CA1030 // Use events where appropriate + public Task RaiseOrchestrationEventAsync(string instanceId, string eventName, object? eventData = null) +#pragma warning restore CA1030 // Use events where appropriate + { + return this.Client.RaiseEventAsync(instanceId, eventName, eventData, this._cancellationToken); + } + + /// + /// Asks the for an object of the specified type, . + /// + /// The type of the object being requested. + /// An optional key to identify the service instance. + /// The service instance, or if the service is not found. + /// + /// Thrown when is not and the service provider does not support keyed services. + /// + public TService? GetService(object? serviceKey = null) + { + return this.GetService(typeof(TService), serviceKey) is TService service ? service : default; + } + + /// + /// Asks the for an object of the specified type, . + /// + /// The type of the object being requested. + /// An optional key to identify the service instance. + /// The service instance, or if the service is not found. + /// + /// Thrown when is not and the service provider does not support keyed services. + /// + public object? GetService(Type serviceType, object? serviceKey = null) + { + if (serviceKey is not null) + { + if (this._services is not IKeyedServiceProvider keyedServiceProvider) + { + throw new InvalidOperationException("The service provider does not support keyed services."); + } + + return keyedServiceProvider.GetKeyedService(serviceType, serviceKey); + } + + return this._services.GetService(serviceType); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs new file mode 100644 index 0000000000..dbe5cd76af --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs @@ -0,0 +1,88 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics.CodeAnalysis; +using System.Text.Json; +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask; + +/// Provides JSON serialization utilities and source-generated contracts for Durable Agent types. +/// +/// +/// This mirrors the pattern used by other libraries (e.g. WorkflowsJsonUtilities) to enable Native AOT and trimming +/// friendly serialization without relying on runtime reflection. It establishes a singleton +/// instance that is preconfigured with: +/// +/// +/// baseline defaults. +/// for default null-value suppression. +/// to tolerate numbers encoded as strings. +/// Chained type info resolvers from shared agent abstractions to cover cross-package types (e.g. , ). +/// +/// +/// Keep the list of [JsonSerializable] types in sync with the Durable Agent data model anytime new state or request/response +/// containers are introduced that must round-trip via JSON. +/// +/// +internal static partial class DurableAgentJsonUtilities +{ + /// + /// Gets the singleton used for Durable Agent serialization. + /// + public static JsonSerializerOptions DefaultOptions { get; } = CreateDefaultOptions(); + + /// + /// Serializes a sequence of chat messages using the durable agent default options. + /// + /// The messages to serialize. + /// A representing the serialized messages. + public static JsonElement Serialize(this IEnumerable messages) => + JsonSerializer.SerializeToElement(messages, DefaultOptions.GetTypeInfo(typeof(IEnumerable))); + + /// + /// Deserializes chat messages from a using durable agent options. + /// + /// The JSON element containing the messages. + /// The deserialized list of chat messages. + public static List DeserializeMessages(this JsonElement element) => + (List?)element.Deserialize(DefaultOptions.GetTypeInfo(typeof(List))) ?? []; + + /// + /// Creates the configured instance for durable agents. + /// + /// The configured options. + [UnconditionalSuppressMessage("ReflectionAnalysis", "IL3050:RequiresDynamicCode", Justification = "Converter is guarded by IsReflectionEnabledByDefault check.")] + [UnconditionalSuppressMessage("Trimming", "IL2026:Members annotated with 'RequiresUnreferencedCodeAttribute' require dynamic access", Justification = "Converter is guarded by IsReflectionEnabledByDefault check.")] + private static JsonSerializerOptions CreateDefaultOptions() + { + // Base configuration from the source-generated context below. + JsonSerializerOptions options = new(JsonContext.Default.Options); + + // Chain in shared abstractions resolver (Microsoft.Extensions.AI + Agent abstractions) so dependent types are covered. + options.TypeInfoResolverChain.Add(AgentAbstractionsJsonUtilities.DefaultOptions.TypeInfoResolver!); + + options.MakeReadOnly(); + return options; + } + + // Keep in sync with CreateDefaultOptions above. + [JsonSourceGenerationOptions(JsonSerializerDefaults.Web, + DefaultIgnoreCondition = JsonIgnoreCondition.WhenWritingNull, + NumberHandling = JsonNumberHandling.AllowReadingFromString)] + + // Durable Agent State Types + [JsonSerializable(typeof(DurableAgentState))] + [JsonSerializable(typeof(AgentStateEntry))] + [JsonSerializable(typeof(DurableAgentThread))] + + // Request Types + [JsonSerializable(typeof(RunRequest))] + + // Primitive / Supporting Types + [JsonSerializable(typeof(ChatMessage))] + [JsonSerializable(typeof(JsonElement))] + + [ExcludeFromCodeCoverage] + internal sealed partial class JsonContext : JsonSerializerContext; +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentRunOptions.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentRunOptions.cs new file mode 100644 index 0000000000..0f1984ad62 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentRunOptions.cs @@ -0,0 +1,36 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Options for running a durable agent. +/// +public sealed class DurableAgentRunOptions : AgentRunOptions +{ + /// + /// Gets or sets whether to enable tool calls for this request. + /// + public bool EnableToolCalls { get; set; } = true; + + /// + /// Gets or sets the collection of tool names to enable. If not specified, all tools are enabled. + /// + public IList? EnableToolNames { get; set; } + + /// + /// Gets or sets the response format for the agent's response. + /// + public ChatResponseFormat? ResponseFormat { get; set; } + + /// + /// Gets or sets whether to fire and forget the agent run request. + /// + /// + /// If is true, the agent run request will be sent and the method will return immediately. + /// The caller will not wait for the agent to complete the run and will not receive a response. This setting is useful for + /// long-running tasks where the caller does not need to wait for the agent to complete the run. + /// + public bool IsFireAndForget { get; set; } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs new file mode 100644 index 0000000000..80a43d403f --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs @@ -0,0 +1,79 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics.CodeAnalysis; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Represents the state of a durable agent, including its conversation history. +/// +public class DurableAgentState +{ + /// + /// Gets the ordered list of state entries representing the complete conversation history. + /// This includes both user messages and agent responses in chronological order. + /// + public List ConversationHistory { get; set; } = []; + + /// + /// Gets all chat messages from the conversation history. + /// + /// A collection of chat messages in chronological order. + public IEnumerable EnumerateChatMessages() + { + foreach (AgentStateEntry entry in this.ConversationHistory) + { + if (entry.Type == AgentStateEntry.EntryType.ChatMessage) + { + yield return entry.ChatMessage!; + } + else if (entry.Type == AgentStateEntry.EntryType.AgentResponse) + { + foreach (ChatMessage message in entry.AgentResponse!.Messages) + { + yield return message; + } + } + } + } + + /// + /// Gets an agent response from the conversation history. + /// + /// The correlation ID of the agent response to get. + /// The agent response if found, null otherwise. + /// True if the agent response was found, false otherwise. + public bool TryGetAgentResponse(string correlationId, [NotNullWhen(true)] out AgentRunResponse? response) + { + foreach (AgentStateEntry entry in this.ConversationHistory.Where( + entry => entry.Type == AgentStateEntry.EntryType.AgentResponse && + entry.CorrelationId == correlationId)) + { + response = entry.AgentResponse!; + return true; + } + + response = null; + return false; + } + + /// + /// Adds a chat message to the state. + /// + /// The chat message to add. + public void AddChatMessage(ChatMessage message) + { + this.ConversationHistory.Add(AgentStateEntry.CreateChatMessage(message)); + } + + /// + /// Adds an agent response to the state. + /// + /// The agent response to add. + /// The correlation ID for the agent response. + public void AddAgentResponse(AgentRunResponse response, string? correlationId) + { + this.ConversationHistory.Add(AgentStateEntry.CreateAgentResponse(response, correlationId)); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs new file mode 100644 index 0000000000..f0b6d8c3da --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs @@ -0,0 +1,79 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Represents a single entry in the durable agent state, which can either be a chat message or agent response. +/// This maintains chronological order of all interactions while preserving strong typing. +/// +public sealed class AgentStateEntry +{ + /// + /// Initializes a new instance of the class. + /// + /// The chat message, if this entry represents a chat message. + /// The agent response, if this entry represents an agent response. + /// The correlation ID associated with the agent response, if any. + [JsonConstructor] + public AgentStateEntry(ChatMessage? chatMessage, AgentRunResponse? agentResponse, string? correlationId) + { + this.ChatMessage = chatMessage; + this.AgentResponse = agentResponse; + this.Type = agentResponse is null ? EntryType.ChatMessage : EntryType.AgentResponse; + this.CorrelationId = correlationId; + } + + /// + /// Gets the type of this state entry. + /// + public EntryType Type { get; } + + /// + /// Gets the correlation ID for this entry. + /// + public string? CorrelationId { get; } + + /// + /// Gets the chat message, if this entry is a chat message. + /// + public ChatMessage? ChatMessage { get; } + + /// + /// Gets the agent response, if this entry is an agent response. + /// + public AgentRunResponse? AgentResponse { get; } + + /// + /// Creates a chat message entry. + /// + /// The chat message. + /// A new chat message entry. + public static AgentStateEntry CreateChatMessage(ChatMessage message) => new(message, null, null); + + /// + /// Creates an agent response entry. + /// + /// The agent response. + /// The correlation ID for the agent response. + /// A new agent response entry. + public static AgentStateEntry CreateAgentResponse(AgentRunResponse response, string? correlationId) => new(null, response, correlationId); + + /// + /// Defines the types of entries that can be stored in the durable agent state. + /// + public enum EntryType + { + /// + /// A user chat message. + /// + ChatMessage, + + /// + /// An agent response. + /// + AgentResponse + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentThread.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentThread.cs new file mode 100644 index 0000000000..8dd2b73609 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentThread.cs @@ -0,0 +1,77 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics; +using System.Text.Json; +using System.Text.Json.Serialization; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// An agent thread implementation for durable agents. +/// +[DebuggerDisplay("{SessionId}")] +public sealed class DurableAgentThread : AgentThread +{ + [JsonConstructor] + internal DurableAgentThread(AgentSessionId sessionId) + { + this.SessionId = sessionId; + } + + /// + /// Gets the agent session ID. + /// + [JsonInclude] + [JsonPropertyName("sessionId")] + internal AgentSessionId SessionId { get; } + + /// + public override JsonElement Serialize(JsonSerializerOptions? jsonSerializerOptions = null) + { + return JsonSerializer.SerializeToElement( + this, + DurableAgentJsonUtilities.DefaultOptions.GetTypeInfo(typeof(DurableAgentThread))); + } + + /// + /// Deserializes a DurableAgentThread from JSON. + /// + /// The serialized thread data. + /// Optional JSON serializer options. + /// The deserialized DurableAgentThread. + public static DurableAgentThread Deserialize(JsonElement serializedThread, JsonSerializerOptions? jsonSerializerOptions = null) + { + if (!serializedThread.TryGetProperty("sessionId", out JsonElement sessionIdElement) || + sessionIdElement.ValueKind != JsonValueKind.String) + { + throw new JsonException("Invalid or missing sessionId property."); + } + + string sessionIdString = sessionIdElement.GetString() ?? throw new JsonException("sessionId property is null."); + AgentSessionId sessionId = AgentSessionId.Parse(sessionIdString); + return new DurableAgentThread(sessionId); + } + + /// + public override object? GetService(Type serviceType, object? serviceKey = null) + { + // This is a common convention for MAF agents. + if (serviceType == typeof(AgentThreadMetadata)) + { + return new AgentThreadMetadata(conversationId: this.SessionId.ToString()); + } + + if (serviceType == typeof(AgentSessionId)) + { + return this.SessionId; + } + + return base.GetService(serviceType, serviceKey); + } + + /// + public override string ToString() + { + return this.SessionId.ToString(); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentsOptions.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentsOptions.cs new file mode 100644 index 0000000000..f2ac3f4c9a --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentsOptions.cs @@ -0,0 +1,84 @@ +// Copyright (c) Microsoft. All rights reserved. + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Builder for configuring durable agents. +/// +public sealed class DurableAgentsOptions +{ + // Agent names are case-insensitive + private readonly Dictionary> _agentFactories = new(StringComparer.OrdinalIgnoreCase); + + internal DurableAgentsOptions() + { + } + + /// + /// Adds an AI agent factory to the options. + /// + /// The name of the agent. + /// The factory function to create the agent. + /// The options instance. + /// Thrown when or is null. + public DurableAgentsOptions AddAIAgentFactory(string name, Func factory) + { + ArgumentNullException.ThrowIfNull(name); + ArgumentNullException.ThrowIfNull(factory); + this._agentFactories.Add(name, factory); + return this; + } + + /// + /// Adds a list of AI agents to the options. + /// + /// The list of agents to add. + /// The options instance. + /// Thrown when is null. + public DurableAgentsOptions AddAIAgents(params IEnumerable agents) + { + ArgumentNullException.ThrowIfNull(agents); + foreach (AIAgent agent in agents) + { + this.AddAIAgent(agent); + } + + return this; + } + + /// + /// Adds an AI agent to the options. + /// + /// The agent to add. + /// The options instance. + /// Thrown when is null. + /// + /// Thrown when is null or whitespace or when an agent with the same name has already been registered. + /// + public DurableAgentsOptions AddAIAgent(AIAgent agent) + { + ArgumentNullException.ThrowIfNull(agent); + + if (string.IsNullOrWhiteSpace(agent.Name)) + { + throw new ArgumentException($"{nameof(agent.Name)} must not be null or whitespace.", nameof(agent)); + } + + if (this._agentFactories.ContainsKey(agent.Name)) + { + throw new ArgumentException($"An agent with name '{agent.Name}' has already been registered.", nameof(agent)); + } + + this._agentFactories.Add(agent.Name, sp => agent); + return this; + } + + /// + /// Gets the agents that have been added to this builder. + /// + /// A read-only collection of agents. + internal IReadOnlyDictionary> GetAgentFactories() + { + return this._agentFactories.AsReadOnly(); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/EntityAgentWrapper.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/EntityAgentWrapper.cs new file mode 100644 index 0000000000..34c9208967 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/EntityAgentWrapper.cs @@ -0,0 +1,125 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Runtime.CompilerServices; +using Microsoft.Agents.AI; +using Microsoft.DurableTask.Entities; +using Microsoft.Extensions.AI; +using Microsoft.Extensions.DependencyInjection; + +namespace Microsoft.Agents.AI.DurableTask; + +internal sealed class EntityAgentWrapper( + AIAgent innerAgent, + TaskEntityContext entityContext, + RunRequest runRequest, + IServiceProvider? entityScopedServices = null) : DelegatingAIAgent(innerAgent) +{ + private readonly TaskEntityContext _entityContext = entityContext; + private readonly RunRequest _runRequest = runRequest; + private readonly IServiceProvider? _entityScopedServices = entityScopedServices; + + // The ID of the agent is always the entity ID. + public override string Id => this._entityContext.Id.ToString(); + + public override async Task RunAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) + { + AgentRunResponse response = await base.RunAsync( + messages, + thread, + this.GetAgentEntityRunOptions(options), + cancellationToken); + + response.AgentId = this.Id; + return response; + } + + public override async IAsyncEnumerable RunStreamingAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + [EnumeratorCancellation] CancellationToken cancellationToken = default) + { + await foreach (AgentRunResponseUpdate update in base.RunStreamingAsync( + messages, + thread, + this.GetAgentEntityRunOptions(options), + cancellationToken)) + { + update.AgentId = this.Id; + yield return update; + } + } + + // Override the GetService method to provide entity-scoped services. + public override object? GetService(Type serviceType, object? serviceKey = null) + { + object? result = null; + if (this._entityScopedServices is not null) + { + result = (serviceKey is not null && this._entityScopedServices is IKeyedServiceProvider keyedServiceProvider) + ? keyedServiceProvider.GetKeyedService(serviceType, serviceKey) + : this._entityScopedServices.GetService(serviceType); + } + + return result ?? base.GetService(serviceType, serviceKey); + } + + private AgentRunOptions GetAgentEntityRunOptions(AgentRunOptions? options = null) + { + // Copied/modified from FunctionInvocationDelegatingAgent.cs in microsoft/agent-framework. + if (options is null || options.GetType() == typeof(AgentRunOptions)) + { + options = new ChatClientAgentRunOptions(); + } + + if (options is not ChatClientAgentRunOptions chatAgentRunOptions) + { + throw new NotSupportedException($"Function Invocation Middleware is only supported without options or with {nameof(ChatClientAgentRunOptions)}."); + } + + Func? originalFactory = chatAgentRunOptions.ChatClientFactory; + + chatAgentRunOptions.ChatClientFactory = chatClient => + { + ChatClientBuilder builder = chatClient.AsBuilder(); + if (originalFactory is not null) + { + builder.Use(originalFactory); + } + + // Update the run options based on the run request. + // NOTE: Function middleware can go here if needed in the future. + return builder.ConfigureOptions( + newOptions => + { + // Update the response format if requested by the caller. + if (this._runRequest.ResponseFormat is not null) + { + newOptions.ResponseFormat = this._runRequest.ResponseFormat; + } + + // Update the tools if requested by the caller. + if (this._runRequest.EnableToolCalls) + { + IList? tools = chatAgentRunOptions.ChatOptions?.Tools; + if (tools is not null && this._runRequest.EnableToolNames?.Count > 0) + { + // Filter tools to only include those with matching names + newOptions.Tools = [.. tools.Where(tool => this._runRequest.EnableToolNames.Contains(tool.Name))]; + } + } + else + { + newOptions.Tools = null; + } + }) + .Build(); + }; + + return options; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/IAgentResponseHandler.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/IAgentResponseHandler.cs new file mode 100644 index 0000000000..45a4e9f258 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/IAgentResponseHandler.cs @@ -0,0 +1,35 @@ +// Copyright (c) Microsoft. All rights reserved. + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Handler for processing responses from the agent. This is typically used to send messages to the user. +/// +public interface IAgentResponseHandler +{ + /// + /// Handles a streaming response update from the agent. This is typically used to send messages to the user. + /// + /// + /// The stream of messages from the agent. + /// + /// + /// Signals that the operation should be cancelled. + /// + ValueTask OnStreamingResponseUpdateAsync( + IAsyncEnumerable messageStream, + CancellationToken cancellationToken); + + /// + /// Handles a discrete response from the agent. This is typically used to send messages to the user. + /// + /// + /// The message from the agent. + /// + /// + /// Signals that the operation should be cancelled. + /// + ValueTask OnAgentResponseAsync( + AgentRunResponse message, + CancellationToken cancellationToken); +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/IDurableAgentClient.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/IDurableAgentClient.cs new file mode 100644 index 0000000000..d49999cbbe --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/IDurableAgentClient.cs @@ -0,0 +1,21 @@ +// Copyright (c) Microsoft. All rights reserved. + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Represents a client for interacting with a durable agent. +/// +internal interface IDurableAgentClient +{ + /// + /// Runs an agent with the specified request. + /// + /// The ID of the target agent session. + /// The request containing the message, role, and configuration. + /// The cancellation token for scheduling the request. + /// A task that returns a handle used to read the agent response. + Task RunAgentAsync( + AgentSessionId sessionId, + RunRequest request, + CancellationToken cancellationToken = default); +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs new file mode 100644 index 0000000000..139b073198 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs @@ -0,0 +1,31 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Extensions.AI; +using Microsoft.Extensions.Logging; + +internal static partial class Logs +{ + [LoggerMessage( + EventId = 1, + Level = LogLevel.Information, + Message = "[{SessionId}] Request: [{Role}] {Content}")] + public static partial void LogAgentRequest( + this ILogger logger, + AgentSessionId sessionId, + ChatRole role, + string content); + + [LoggerMessage( + EventId = 2, + Level = LogLevel.Information, + Message = "[{SessionId}] Response: [{Role}] {Content} (Input tokens: {InputTokenCount}, Output tokens: {OutputTokenCount}, Total tokens: {TotalTokenCount})")] + public static partial void LogAgentResponse( + this ILogger logger, + AgentSessionId sessionId, + ChatRole role, + string content, + long? inputTokenCount, + long? outputTokenCount, + long? totalTokenCount); +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj b/dotnet/src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj new file mode 100644 index 0000000000..c1cadd29e1 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/Microsoft.Agents.AI.DurableTask.csproj @@ -0,0 +1,41 @@ + + + + $(ProjectsCoreTargetFrameworks) + $(ProjectsDebugCoreTargetFrameworks) + enable + + + $(NoWarn);CA2007;MEAI001 + + false + + + + + + + Durable Task extensions for Microsoft Agent Framework + Provides distributed durable execution capabilities for agents built with Microsoft Agent Framework. + README.md + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/README.md b/dotnet/src/Microsoft.Agents.AI.DurableTask/README.md new file mode 100644 index 0000000000..ede4f19051 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/README.md @@ -0,0 +1,42 @@ +# Microsoft.Agents.AI.DurableTask + +The Microsoft Agent Framework provides a programming model for building agents and agent workflows in .NET. This package, the *Durable extensions for the Agent Framework*, extends the Agent Framework programming model with the following capabilities: + +- Stateful, durable execution of agents in distributed environments +- Automatic conversation history management +- Long-running agent workflows as "durable orchestrator" functions +- Tools and dashboards for managing and monitoring agents and agent workflows + +These capabilities are implemented using foundational technologies from the Durable Task technology stack: + +- [Durable Entities](https://learn.microsoft.com/azure/azure-functions/durable/durable-functions-entities) for stateful, durable execution of agents +- [Durable Orchestrations](https://learn.microsoft.com/azure/azure-functions/durable/durable-functions-orchestrations) for long-running agent workflows +- The [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/choose-orchestration-framework) for managing durable task execution and observability at scale + +This package can be used by itself or in conjunction with the [Microsoft.Agents.AI.Hosting.AzureFunctions](https://www.nuget.org/packages/Microsoft.Agents.AI.Hosting.AzureFunctions) package, which provides additional features via Azure Functions integration. + +## Install the package + +From the command-line: + +```bash +dotnet add package Microsoft.Agents.AI.DurableTask +``` + +Or directly in your project file: + +```xml + + + +``` + +You can alternatively just reference the [Microsoft.Agents.AI.Hosting.AzureFunctions](https://www.nuget.org/packages/Microsoft.Agents.AI.Hosting.AzureFunctions) package if you're hosting your agents and orchestrations in the Azure Functions .NET Isolated worker. + +## Usage Examples + +For a comprehensive tour of all the functionality, concepts, and APIs, check out the [Azure Functions samples](https://github.com/microsoft/agent-framework/tree/main/dotnet/samples/AzureFunctions). + +## Feedback & Contributing + +We welcome feedback and contributions in [our GitHub repo](https://github.com/microsoft/agent-framework). diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs new file mode 100644 index 0000000000..f2dcc6832e --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs @@ -0,0 +1,76 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Represents a request to run an agent with a specific message and configuration. +/// +public record RunRequest +{ + /// + /// Gets the list of chat messages to send to the agent (for multi-message requests). + /// + public IList Messages { get; init; } = []; + + /// + /// Gets the optional response format for the agent's response. + /// + public ChatResponseFormat? ResponseFormat { get; init; } + + /// + /// Gets whether to enable tool calls for this request. + /// + public bool EnableToolCalls { get; init; } = true; + + /// + /// Gets the collection of tool names to enable. If not specified, all tools are enabled. + /// + public IList? EnableToolNames { get; init; } + + /// + /// Gets or sets the correlation ID for correlating this request with its response. + /// + [JsonInclude] + internal string? CorrelationId { get; set; } + + /// + /// Initializes a new instance of the class for a single message. + /// + /// The message to send to the agent. + /// The role of the message sender (User or System). + /// Optional response format for the agent's response. + /// Whether to enable tool calls for this request. + /// Optional collection of tool names to enable. If not specified, all tools are enabled. + public RunRequest( + string message, + ChatRole? role = null, + ChatResponseFormat? responseFormat = null, + bool enableToolCalls = true, + IList? enableToolNames = null) + : this([new ChatMessage(role ?? ChatRole.User, message)], responseFormat, enableToolCalls, enableToolNames) + { + } + + /// + /// Initializes a new instance of the class for multiple messages. + /// + /// The list of chat messages to send to the agent. + /// Optional response format for the agent's response. + /// Whether to enable tool calls for this request. + /// Optional collection of tool names to enable. If not specified, all tools are enabled. + [JsonConstructor] + public RunRequest( + IList messages, + ChatResponseFormat? responseFormat = null, + bool enableToolCalls = true, + IList? enableToolNames = null) + { + this.Messages = messages; + this.ResponseFormat = responseFormat; + this.EnableToolCalls = enableToolCalls; + this.EnableToolNames = enableToolNames; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs new file mode 100644 index 0000000000..9a910609f0 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs @@ -0,0 +1,148 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics.CodeAnalysis; +using System.Text.Json; +using System.Text.Json.Serialization.Metadata; +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; +using Microsoft.DurableTask.Worker; +using Microsoft.Extensions.DependencyInjection; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Agent-specific extension methods for the class. +/// +public static class ServiceCollectionExtensions +{ + /// + /// Gets a durable agent proxy by name. + /// + /// The service provider. + /// The name of the agent. + /// The durable agent proxy. + /// Thrown if the agent proxy is not found. + public static AIAgent GetDurableAgentProxy(this IServiceProvider services, string name) + { + return services.GetKeyedService(name) + ?? throw new KeyNotFoundException($"A durable agent with name '{name}' has not been registered."); + } + + /// + /// Configures the Durable Agents services via the service collection. + /// + /// The service collection. + /// A delegate to configure the durable agents. + /// A delegate to configure the Durable Task worker. + /// A delegate to configure the Durable Task client. + /// The service collection. + public static IServiceCollection ConfigureDurableAgents( + this IServiceCollection services, + Action configure, + Action? workerBuilder = null, + Action? clientBuilder = null) + { + ArgumentNullException.ThrowIfNull(configure); + + DurableAgentsOptions options = services.ConfigureDurableAgents(configure); + + // A worker is required to run the agent entities + services.AddDurableTaskWorker(builder => + { + workerBuilder?.Invoke(builder); + + builder.AddTasks(registry => + { + foreach (string name in options.GetAgentFactories().Keys) + { + registry.AddEntity(AgentSessionId.ToEntityName(name)); + } + }); + }); + + // The client is needed to send notifications to the agent entities from non-orchestrator code + if (clientBuilder != null) + { + services.AddDurableTaskClient(clientBuilder); + } + + services.AddSingleton(); + + return services; + } + + // This is internal because it's also used by Microsoft.Azure.Functions.DurableAgents, which is a friend assembly project. + internal static DurableAgentsOptions ConfigureDurableAgents( + this IServiceCollection services, + Action configure) + { + DurableAgentsOptions options = new(); + configure(options); + + var agents = options.GetAgentFactories(); + + // The agent dictionary contains the real agent factories, which is used by the agent entities. + services.AddSingleton(agents); + + // The keyed services are used to resolve durable agent *proxy* instances for external clients. + foreach (var factory in agents) + { + services.AddKeyedSingleton(factory.Key, (sp, _) => factory.Value(sp).AsDurableAgentProxy(sp)); + } + + // A custom data converter is needed because the default chat client uses camel case for JSON properties, + // which is not the default behavior for the Durable Task SDK. + services.AddSingleton(); + + return options; + } + + private class DefaultDataConverter : DataConverter + { + // Use durable agent options (web defaults + camel case by default) with case-insensitive matching. + // We clone to apply naming/casing tweaks while retaining source-generated metadata where available. + private static readonly JsonSerializerOptions s_options = new(DurableAgentJsonUtilities.DefaultOptions) + { + PropertyNamingPolicy = JsonNamingPolicy.CamelCase, + PropertyNameCaseInsensitive = true, + }; + + [UnconditionalSuppressMessage("Trimming", "IL2026", Justification = "Fallback path uses reflection when metadata unavailable.")] + [UnconditionalSuppressMessage("ReflectionAnalysis", "IL3050", Justification = "Fallback path uses reflection when metadata unavailable.")] + public override object? Deserialize(string? data, Type targetType) + { + if (data is null) + { + return null; + } + + JsonTypeInfo? typeInfo = s_options.GetTypeInfo(targetType); + if (typeInfo is JsonTypeInfo typedInfo) + { + return JsonSerializer.Deserialize(data, typedInfo); + } + + // Fallback (may trigger trimming/AOT warnings for unsupported dynamic types). + return JsonSerializer.Deserialize(data, targetType, s_options); + } + + [return: NotNullIfNotNull(nameof(value))] + [UnconditionalSuppressMessage("Trimming", "IL2026", Justification = "Fallback path uses reflection when metadata unavailable.")] + [UnconditionalSuppressMessage("ReflectionAnalysis", "IL3050", Justification = "Fallback path uses reflection when metadata unavailable.")] + public override string? Serialize(object? value) + { + if (value is null) + { + return null; + } + + JsonTypeInfo? typeInfo = s_options.GetTypeInfo(value.GetType()); + if (typeInfo is JsonTypeInfo typedInfo) + { + return JsonSerializer.Serialize(value, typedInfo); + } + + return JsonSerializer.Serialize(value, s_options); + } + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/TaskOrchestrationContextExtensions.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/TaskOrchestrationContextExtensions.cs new file mode 100644 index 0000000000..63f491cf48 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/TaskOrchestrationContextExtensions.cs @@ -0,0 +1,47 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.ComponentModel; +using Microsoft.DurableTask; + +namespace Microsoft.Agents.AI.DurableTask; + +/// +/// Agent-related extension methods for the class. +/// +[EditorBrowsable(EditorBrowsableState.Never)] +public static class TaskOrchestrationContextExtensions +{ + /// + /// Gets a for interacting with hosted agents within an orchestration. + /// + /// The orchestration context. + /// The name of the agent. + /// Thrown when is null or empty. + /// A that can be used to interact with the agent. + public static DurableAIAgent GetAgent( + this TaskOrchestrationContext context, + string agentName) + { + ArgumentException.ThrowIfNullOrEmpty(agentName); + return new DurableAIAgent(context, agentName); + } + + /// + /// Generates an for an agent. + /// + /// + /// This method is deterministic and safe for use in an orchestration context. + /// + /// The orchestration context. + /// The name of the agent. + /// Thrown when is null or empty. + /// The generated agent session ID. + internal static AgentSessionId NewAgentSessionId( + this TaskOrchestrationContext context, + string agentName) + { + ArgumentException.ThrowIfNullOrEmpty(agentName); + + return new AgentSessionId(agentName, context.NewGuid().ToString("N")); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs new file mode 100644 index 0000000000..55021172aa --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs @@ -0,0 +1,91 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Context.Features; +using Microsoft.Azure.Functions.Worker.Http; +using Microsoft.Azure.Functions.Worker.Invocation; +using Microsoft.DurableTask.Client; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// This implementation of function executor handles invocations using the built-in static methods for agent HTTP and entity functions. +/// +/// By default, the Azure Functions worker generates function executor and that executor is used for function invocations. +/// But for the dummy HTTP function we create for agents (by augmenting the metadata), that executor will not have the code to handle that function since the entrypoint is a built-in static method. +/// +internal sealed class BuiltInFunctionExecutor : IFunctionExecutor +{ + public async ValueTask ExecuteAsync(FunctionContext context) + { + ArgumentNullException.ThrowIfNull(context); + + // Acquire the input binding feature (fail fast if missing rather than null-forgiving operator). + IFunctionInputBindingFeature? functionInputBindingFeature = context.Features.Get(); + if (functionInputBindingFeature == null) + { + throw new InvalidOperationException("Function input binding feature is not available on the current context."); + } + + FunctionInputBindingResult? inputBindingResults = await functionInputBindingFeature.BindFunctionInputAsync(context); + if (inputBindingResults is not { Values: { } values }) + { + throw new InvalidOperationException($"Function input binding failed for the invocation {context.InvocationId}"); + } + + HttpRequestData? httpRequestData = null; + TaskEntityDispatcher? dispatcher = null; + DurableTaskClient? durableTaskClient = null; + + foreach (var binding in values) + { + switch (binding) + { + case HttpRequestData request: + httpRequestData = request; + break; + case TaskEntityDispatcher entityDispatcher: + dispatcher = entityDispatcher; + break; + case DurableTaskClient client: + durableTaskClient = client; + break; + } + } + + bool isAgentHttpInvocation = string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentHttpFunctionEntryPoint, StringComparison.Ordinal); + + if (isAgentHttpInvocation) + { + if (httpRequestData == null) + { + throw new InvalidOperationException($"HTTP request data binding is missing for the invocation {context.InvocationId}."); + } + if (durableTaskClient == null) + { + throw new InvalidOperationException($"Durable Task client binding is missing for the invocation {context.InvocationId}."); + } + + context.GetInvocationResult().Value = await BuiltInFunctions.RunAgentHttpAsync( + httpRequestData, + durableTaskClient, + context); + return; + } + + // If not HTTP invocation, It will be entity invocation path. + if (dispatcher == null) + { + throw new InvalidOperationException($"Task entity dispatcher binding is missing for the invocation {context.InvocationId}."); + } + if (durableTaskClient == null) + { + throw new InvalidOperationException($"Durable Task client binding is missing for the invocation {context.InvocationId}."); + } + + await BuiltInFunctions.InvokeAgentAsync( + dispatcher, + durableTaskClient, + context); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs new file mode 100644 index 0000000000..80e2a2dfaa --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs @@ -0,0 +1,150 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Net; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Http; +using Microsoft.DurableTask.Client; +using Microsoft.Extensions.AI; +using Microsoft.Extensions.DependencyInjection; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +internal static class BuiltInFunctions +{ + internal static readonly string RunAgentHttpFunctionEntryPoint = $"{typeof(BuiltInFunctions).FullName!}.{nameof(RunAgentHttpAsync)}"; + internal static readonly string RunAgentEntityFunctionEntryPoint = $"{typeof(BuiltInFunctions).FullName!}.{nameof(InvokeAgentAsync)}"; + + // Exposed as an entity trigger via AgentFunctionsProvider + public static async Task InvokeAgentAsync( + [EntityTrigger] TaskEntityDispatcher dispatcher, + [DurableClient] DurableTaskClient client, + FunctionContext functionContext) + { + // This should never be null except if the function trigger is misconfigured. + ArgumentNullException.ThrowIfNull(dispatcher); + ArgumentNullException.ThrowIfNull(client); + ArgumentNullException.ThrowIfNull(functionContext); + + // Create a combined service provider that includes both the existing services + // and the DurableTaskClient instance + IServiceProvider combinedServiceProvider = new CombinedServiceProvider(functionContext.InstanceServices, client); + + // This method is the entry point for the agent entity. + // It will be invoked by the Azure Functions runtime when the entity is called. + await dispatcher.DispatchAsync(new AgentEntity(combinedServiceProvider, functionContext.CancellationToken)); + } + + public static async Task RunAgentHttpAsync( + [HttpTrigger] HttpRequestData req, + [DurableClient] DurableTaskClient client, + FunctionContext context) + { + // The session ID is an optional query string parameter. + string? threadIdFromQuery = req.Query["threadId"]; + + // If no session ID is provided, use a new one based on the function name and invocation ID. + // This may be better than a random one because it can be correlated with the function invocation. + // Specifying a session ID is how the caller correlates multiple calls to the same agent session. + AgentSessionId sessionId = string.IsNullOrEmpty(threadIdFromQuery) + ? new AgentSessionId(GetAgentName(context), context.InvocationId) + : AgentSessionId.Parse(threadIdFromQuery); + + string? message = await req.ReadAsStringAsync(); + if (string.IsNullOrWhiteSpace(message)) + { + HttpResponseData response = req.CreateResponse(HttpStatusCode.BadRequest); + await response.WriteAsJsonAsync( + new { error = "Run request cannot be empty." }, + context.CancellationToken); + return response; + } + + AIAgent agentProxy = client.AsDurableAgentProxy(context, GetAgentName(context)); + + AgentRunResponse agentResponse = await agentProxy.RunAsync( + message: new ChatMessage(ChatRole.User, message), + thread: new DurableAgentThread(sessionId), + options: null, + cancellationToken: context.CancellationToken); + + HttpResponseData httpResponse = req.CreateResponse(HttpStatusCode.OK); + httpResponse.Headers.Add("X-Agent-Thread", sessionId.ToString()); + + // If the caller accepts JSON, return the entire response object as JSON. + // TODO: Need to define a standard response schema for agent responses. + // https://github.com/Azure/durable-agent-framework/issues/113 + if (req.Headers.TryGetValues("Accept", out IEnumerable? acceptValues) && + acceptValues.Contains("application/json", StringComparer.OrdinalIgnoreCase)) + { + await httpResponse.WriteAsJsonAsync( + new { response = agentResponse, threadId = sessionId }, + context.CancellationToken); + } + else + { + // The default is to return the response as text/plain. + httpResponse.Headers.Add("Content-Type", "text/plain"); + await httpResponse.WriteStringAsync(agentResponse.Text, context.CancellationToken); + } + + return httpResponse; + } + + private static string GetAgentName(FunctionContext context) + { + // Remove the trailing _http from the function name + string functionName = context.FunctionDefinition.Name; + if (!functionName.EndsWith("_http", StringComparison.Ordinal)) + { + // This should never happen because the function metadata provider ensures + // that the function name ends with '_http'. + throw new InvalidOperationException( + $"Built-in HTTP trigger function name '{functionName}' does not end with '_http'."); + } + + return functionName[..^5]; + } + + /// + /// A service provider that combines the original service provider with an additional DurableTaskClient instance. + /// + private sealed class CombinedServiceProvider(IServiceProvider originalProvider, DurableTaskClient client) + : IServiceProvider, IKeyedServiceProvider + { + private readonly IServiceProvider _originalProvider = originalProvider; + private readonly DurableTaskClient _client = client; + + public object? GetKeyedService(Type serviceType, object? serviceKey) + { + if (this._originalProvider is IKeyedServiceProvider keyedProvider) + { + return keyedProvider.GetKeyedService(serviceType, serviceKey); + } + + return null; + } + + public object GetRequiredKeyedService(Type serviceType, object? serviceKey) + { + if (this._originalProvider is IKeyedServiceProvider keyedProvider) + { + return keyedProvider.GetRequiredKeyedService(serviceType, serviceKey); + } + + throw new InvalidOperationException("The original service provider does not support keyed services."); + } + + public object? GetService(Type serviceType) + { + // If the requested service is DurableTaskClient, return our instance + if (serviceType == typeof(DurableTaskClient)) + { + return this._client; + } + + // Otherwise try to get the service from the original provider + return this._originalProvider.GetService(serviceType); + } + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/CHANGELOG.md b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/CHANGELOG.md new file mode 100644 index 0000000000..e908deac89 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/CHANGELOG.md @@ -0,0 +1,5 @@ +# Release History + +## v1.0.0-preview.* (Unreleased) + +- Initial public release. diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs new file mode 100644 index 0000000000..a8cfd62053 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs @@ -0,0 +1,82 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker.Core.FunctionMetadata; +using Microsoft.Extensions.Logging; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Transforms function metadata by registering durable agent functions for each configured agent. +/// +/// This transformer adds both entity trigger and HTTP trigger functions for every agent registered in the application. +internal sealed class DurableAgentFunctionMetadataTransformer : IFunctionMetadataTransformer +{ + private readonly ILogger _logger; + private readonly IReadOnlyDictionary> _agents; + +#pragma warning disable IL3000 // Avoid accessing Assembly file path when publishing as a single file - Azure Functions does not use single-file publishing + private static readonly string s_builtInFunctionsScriptFile = Path.GetFileName(typeof(BuiltInFunctions).Assembly.Location); +#pragma warning restore IL3000 + + public DurableAgentFunctionMetadataTransformer( + IReadOnlyDictionary> agents, + ILogger logger) + { + this._agents = agents ?? throw new ArgumentNullException(nameof(agents)); + this._logger = logger ?? throw new ArgumentNullException(nameof(logger)); + } + + public string Name => nameof(DurableAgentFunctionMetadataTransformer); + + public void Transform(IList original) + { + this._logger.LogInformation("Transforming function metadata to add durable agent functions. Initial function count: {FunctionCount}", original.Count); + + foreach (string agentName in this._agents.Keys) + { + this._logger.LogInformation("Registering functions for agent: {AgentName}", agentName); + + // Each agent type gets its own entity trigger function. + // We do this 1:1 mapping for improved telemetry. + original.Add(CreateAgentTrigger(agentName)); + + // Each agent type gets its own HTTP trigger function. + // TODO: Put this behind a configuration option. + original.Add(CreateHttpTrigger(agentName, $"agents/{agentName}/run", nameof(BuiltInFunctions.RunAgentHttpAsync))); + } + } + + private static DefaultFunctionMetadata CreateAgentTrigger(string name) + { + return new DefaultFunctionMetadata() + { + Name = AgentSessionId.ToEntityName(name), + Language = "dotnet-isolated", + RawBindings = + [ + """{"name":"dispatcher","type":"entityTrigger","direction":"In"}""", + """{"name":"client","type":"durableClient","direction":"In"}""" + ], + EntryPoint = BuiltInFunctions.RunAgentEntityFunctionEntryPoint, + ScriptFile = s_builtInFunctionsScriptFile, + }; + } + + private static DefaultFunctionMetadata CreateHttpTrigger(string name, string route, string dotnetMethodName) + { + return new DefaultFunctionMetadata() + { + Name = $"{name}_http", + Language = "dotnet-isolated", + RawBindings = + [ + $$"""{"name":"req","type":"httpTrigger","direction":"In","authLevel":"function","methods": ["post"],"route":"{{route}}"}""", + """{"name":"$return","type":"http","direction":"Out"}""", + """{"name":"client","type":"durableClient","direction":"In"}""" + ], + EntryPoint = BuiltInFunctions.RunAgentHttpFunctionEntryPoint, + ScriptFile = s_builtInFunctionsScriptFile, + }; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableTaskClientExtensions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableTaskClientExtensions.cs new file mode 100644 index 0000000000..7628a3f3bf --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableTaskClientExtensions.cs @@ -0,0 +1,39 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker; +using Microsoft.DurableTask.Client; +using Microsoft.Extensions.DependencyInjection; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Extension methods for the class. +/// +public static class DurableTaskClientExtensions +{ + /// + /// Converts a to a durable agent proxy. + /// + /// The to convert. + /// The for the current function invocation. + /// The name of the agent. + /// A durable agent proxy. + /// Thrown when or is null. + /// Thrown when is null or empty. + public static AIAgent AsDurableAgentProxy( + this DurableTaskClient durableClient, + FunctionContext context, + string agentName) + { + ArgumentNullException.ThrowIfNull(durableClient); + ArgumentNullException.ThrowIfNull(context); + ArgumentException.ThrowIfNullOrEmpty(agentName); + + DefaultDurableAgentClient agentClient = ActivatorUtilities.CreateInstance( + context.InstanceServices, + durableClient); + + return new DurableAIAgentProxy(agentName, agentClient); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs new file mode 100644 index 0000000000..614b530dc5 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs @@ -0,0 +1,42 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Azure.Functions.Worker.Core.FunctionMetadata; +using Microsoft.Extensions.DependencyInjection; +using Microsoft.Extensions.DependencyInjection.Extensions; +using Microsoft.Extensions.Hosting; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Extension methods for the class. +/// +public static class FunctionsApplicationBuilderExtensions +{ + /// + /// Configures the application to use durable agents with a builder pattern. + /// + /// The functions application builder. + /// A delegate to configure the durable agents. + /// The functions application builder. + public static FunctionsApplicationBuilder ConfigureDurableAgents( + this FunctionsApplicationBuilder builder, + Action configure) + { + ArgumentNullException.ThrowIfNull(configure); + + // The main agent services registration is done in Microsoft.DurableTask.Agents. + builder.Services.ConfigureDurableAgents(configure); + + builder.Services.TryAddSingleton(); + + // Handling of built-in function execution for Agent HTTP or Entity invocations. + builder.UseWhen(static context => + string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentHttpFunctionEntryPoint, StringComparison.Ordinal) || + string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentEntityFunctionEntryPoint, StringComparison.Ordinal)); + builder.Services.AddSingleton(); + + return builder; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj new file mode 100644 index 0000000000..7f11ef8fc5 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj @@ -0,0 +1,43 @@ + + + + $(ProjectsCoreTargetFrameworks) + $(ProjectsDebugCoreTargetFrameworks) + enable + + $(NoWarn);CA2007 + + false + + + + + + + Azure Functions extensions for Microsoft Agent Framework + Provides durable agent hosting and orchestration support for Microsoft Agent Framework workloads. + README.md + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Middlewares/BuiltInFunctionExecutionMiddleware.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Middlewares/BuiltInFunctionExecutionMiddleware.cs new file mode 100644 index 0000000000..3dc1a58943 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Middlewares/BuiltInFunctionExecutionMiddleware.cs @@ -0,0 +1,24 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Invocation; +using Microsoft.Azure.Functions.Worker.Middleware; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// This middleware sets a custom function executor for invocation of functions that have the built-in method as the entrypoint. +/// +internal sealed class BuiltInFunctionExecutionMiddleware(BuiltInFunctionExecutor builtInFunctionExecutor) + : IFunctionsWorkerMiddleware +{ + private readonly BuiltInFunctionExecutor _builtInFunctionExecutor = builtInFunctionExecutor; + + public async Task Invoke(FunctionContext context, FunctionExecutionDelegate next) + { + // We set our custom function executor for this invocation. + context.Features.Set(this._builtInFunctionExecutor); + + await next(context); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md new file mode 100644 index 0000000000..7536790a97 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md @@ -0,0 +1,177 @@ +# Microsoft.Agents.AI.Hosting.AzureFunctions + +This package adds Azure Functions integration and serverless hosting for Microsoft Agent Framework on Azure Functions. It builds upon the [Microsoft.Agents.AI.DurableTask](https://www.nuget.org/packages/Microsoft.Agents.AI.DurableTask) package to provide the following capabilities: + +- Stateful, durable execution of agents in distributed, serverless environments +- Automatic conversation history management in supported [Durable Functions backends](https://learn.microsoft.com/azure/azure-functions/durable/durable-functions-task-hubs/choose-durable-functions-backends) +- Long-running agent workflows as "durable orchestrator" functions +- Tools and [dashboards](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/durable-task-scheduler-dashboard) for managing and monitoring agents and agent workflows + +## Install the package + +From the command-line: + +```bash +dotnet add package Microsoft.Agents.AI.Hosting.AzureFunctions +``` + +Or directly in your project file: + +```xml + + + +``` + +## Usage Examples + +For a comprehensive tour of all the functionality, concepts, and APIs, check out the [Azure Functions samples](https://github.com/microsoft/agent-framework/tree/main/dotnet/samples/AzureFunctions) in the [Durable extensions for Agent Framework repository](https://github.com/microsoft/agent-framework). + +### Hosting single agents + +This package provides a `ConfigureDurableAgents` extension method on the `FunctionsApplicationBuilder` class to configure the application to host Microsoft Agent Framework agents. These hosted agents are automatically registered as durable entities with the Durable Task runtime and can be invoked via HTTP or Durable Task orchestrator functions. + +```csharp +// Create agents using the standard Microsoft Agent Framework. +// Invocable via HTTP via http://localhost:7071/api/agents/SpamDetectionAgent/run +AIAgent spamDetector = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()) + .GetChatClient(deploymentName) + .CreateAIAgent( + instructions: "You are a spam detection assistant that identifies spam emails.", + name: "SpamDetectionAgent"); + +AIAgent emailAssistant = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()) + .GetChatClient(deploymentName) + .CreateAIAgent( + instructions: "You are an email assistant that helps users draft responses to emails with professionalism.", + name: "EmailAssistantAgent"); + +// Configure the Functions application to host the agents. +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => + { + options.AddAIAgent(spamDetector); + options.AddAIAgent(emailAssistant); + }) + .Build(); +app.Run(); +``` + +By default, each agent can be invoked via a built-in HTTP trigger function at the route `http[s]://[host]/api/agents/{agentName}/run`. + +### Orchestrating hosted agents + +This package also provides a set of extension methods such as `GetAgent` on the [`TaskOrchestrationContext`](https://learn.microsoft.com/dotnet/api/microsoft.durabletask.taskorchestrationcontext) class for interacting with hosted agents within orchestrations. + +```csharp +[Function(nameof(SpamDetectionOrchestration))] +public static async Task SpamDetectionOrchestration( + [OrchestrationTrigger] TaskOrchestrationContext context) +{ + Email email = context.GetInput() ?? throw new InvalidOperationException("Email is required"); + + // Get the spam detection agent + DurableAIAgent spamDetectionAgent = context.GetAgent("SpamDetectionAgent"); + AgentThread spamThread = spamDetectionAgent.GetNewThread(); + + // Step 1: Check if the email is spam + AgentRunResponse spamDetectionResponse = await spamDetectionAgent.RunAsync( + message: + $""" + Analyze this email for spam content and return a JSON response with 'is_spam' (boolean) and 'reason' (string) fields: + Email ID: {email.EmailId} + Content: {email.EmailContent} + """, + thread: spamThread); + DetectionResult result = spamDetectionResponse.Result; + + // Step 2: Conditional logic based on spam detection result + if (result.IsSpam) + { + // Handle spam email + return await context.CallActivityAsync(nameof(HandleSpamEmail), result.Reason); + } + else + { + // Generate and send response for legitimate email + DurableAIAgent emailAssistantAgent = context.GetAgent("EmailAssistantAgent"); + AgentThread emailThread = emailAssistantAgent.GetNewThread(); + + AgentRunResponse emailAssistantResponse = await emailAssistantAgent.RunAsync( + message: + $""" + Draft a professional response to this email. Return a JSON response with a 'response' field containing the reply: + + Email ID: {email.EmailId} + Content: {email.EmailContent} + """, + thread: emailThread); + + EmailResponse emailResponse = emailAssistantResponse.Result; + return await context.CallActivityAsync(nameof(SendEmail), emailResponse.Response); + } +} +``` + +### Scheduling orchestrations from custom code tools + +Agents can also schedule and interact with orchestrations from custom code tools. This is useful for long-running tool use cases where orchestrations need to be executed in the context of the agent. + +The `DurableAgentContext.Current` *AsyncLocal* property provides access to the current agent context, which can be used to schedule and interact with orchestrations. + +```csharp +class Tools +{ + [Description("Starts a content generation workflow and returns the instance ID for tracking.")] + public string StartContentGenerationWorkflow( + [Description("The topic for content generation")] string topic) + { + // ContentGenerationWorkflow is an orchestrator function defined in the same project. + string instanceId = DurableAgentContext.Current.ScheduleNewOrchestration( + name: nameof(ContentGenerationWorkflow), + input: topic); + + // Return the instance ID so that it gets added to the LLM context. + return instanceId; + } + + [Description("Gets the status of a content generation workflow.")] + public async Task GetContentGenerationStatus( + [Description("The instance ID of the workflow to check")] string instanceId, + [Description("Whether to include detailed information")] bool includeDetails = true) + { + OrchestrationMetadata? status = await DurableAgentContext.Current.Client.GetOrchestrationStatusAsync( + instanceId, + includeDetails); + return status ?? throw new InvalidOperationException($"Workflow instance '{instanceId}' not found."); + } +} +``` + +These tools are registered with the agent using the `tools` parameter when creating the agent. + +```csharp +Tools tools = new(); +AIAgent agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()) + .GetChatClient(deploymentName) + .CreateAIAgent( + instructions: "You are a content generation assistant that helps users generate content.", + name: "ContentGenerationAgent", + tools: [ + AIFunctionFactory.Create(tools.StartContentGenerationWorkflow), + AIFunctionFactory.Create(tools.GetContentGenerationStatus) + ]); + +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => options.AddAIAgent(agent)) + .Build(); +app.Run(); +``` + +## Feedback & Contributing + +We welcome feedback and contributions in [our GitHub repo](https://github.com/microsoft/agent-framework). diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/AgentSessionIdTests.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/AgentSessionIdTests.cs new file mode 100644 index 0000000000..03d171b7b3 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/AgentSessionIdTests.cs @@ -0,0 +1,56 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.DurableTask.Entities; + +namespace Microsoft.Agents.AI.DurableTask.UnitTests; + +public sealed class AgentSessionIdTests +{ + [Fact] + public void ParseValidSessionId() + { + const string Name = "test-agent"; + const string Key = "12345"; + string sessionIdString = $"@dafx-{Name}@{Key}"; + AgentSessionId sessionId = AgentSessionId.Parse(sessionIdString); + + Assert.Equal(Name, sessionId.Name); + Assert.Equal(Key, sessionId.Key); + } + + [Fact] + public void ParseInvalidSessionId() + { + const string InvalidSessionIdString = "@test-agent@12345"; // Missing "dafx-" prefix + Assert.Throws(() => AgentSessionId.Parse(InvalidSessionIdString)); + } + + [Fact] + public void FromEntityId() + { + const string Name = "test-agent"; + const string Key = "12345"; + + EntityInstanceId entityId = new($"dafx-{Name}", Key); + AgentSessionId sessionId = (AgentSessionId)entityId; + + Assert.Equal(Name, sessionId.Name); + Assert.Equal(Key, sessionId.Key); + } + + [Fact] + public void FromInvalidEntityId() + { + const string Name = "test-agent"; + const string Key = "12345"; + + EntityInstanceId entityId = new(Name, Key); // Missing "dafx-" prefix + + Assert.Throws(() => + { + // This assignment should throw an exception because + // the entity ID is not a valid agent session ID. + AgentSessionId sessionId = entityId; + }); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/DurableAgentThreadTests.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/DurableAgentThreadTests.cs new file mode 100644 index 0000000000..7e5a776beb --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/DurableAgentThreadTests.cs @@ -0,0 +1,43 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; + +namespace Microsoft.Agents.AI.DurableTask.UnitTests; + +public sealed class DurableAgentThreadTests +{ + [Fact] + public void BuiltInSerialization() + { + AgentSessionId sessionId = AgentSessionId.WithRandomKey("test-agent"); + AgentThread thread = new DurableAgentThread(sessionId); + + JsonElement serializedThread = thread.Serialize(); + + // Expected format: "{\"sessionId\":\"@dafx-test-agent@\"}" + string expectedSerializedThread = $"{{\"sessionId\":\"@dafx-{sessionId.Name}@{sessionId.Key}\"}}"; + Assert.Equal(expectedSerializedThread, serializedThread.ToString()); + + DurableAgentThread deserializedThread = DurableAgentThread.Deserialize(serializedThread); + Assert.Equal(sessionId, deserializedThread.SessionId); + } + + [Fact] + public void STJSerialization() + { + AgentSessionId sessionId = AgentSessionId.WithRandomKey("test-agent"); + AgentThread thread = new DurableAgentThread(sessionId); + + // Need to specify the type explicitly because STJ, unlike other serializers, + // does serialization based on the static type of the object, not the runtime type. + string serializedThread = JsonSerializer.Serialize(thread, typeof(DurableAgentThread)); + + // Expected format: "{\"sessionId\":\"@dafx-test-agent@\"}" + string expectedSerializedThread = $"{{\"sessionId\":\"@dafx-{sessionId.Name}@{sessionId.Key}\"}}"; + Assert.Equal(expectedSerializedThread, serializedThread); + + DurableAgentThread? deserializedThread = JsonSerializer.Deserialize(serializedThread); + Assert.NotNull(deserializedThread); + Assert.Equal(sessionId, deserializedThread.SessionId); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj new file mode 100644 index 0000000000..02ed1b58e7 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj @@ -0,0 +1,13 @@ + + + + $(ProjectsCoreTargetFrameworks) + $(ProjectsDebugCoreTargetFrameworks) + enable + + + + + + + diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs new file mode 100644 index 0000000000..9a924c1bfd --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs @@ -0,0 +1,95 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Azure.Functions.Worker.Core.FunctionMetadata; +using Microsoft.Extensions.Logging.Abstractions; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests; + +public sealed class DurableAgentFunctionMetadataTransformerTests +{ + [Theory] + [InlineData(0)] // Empty original metadata list + [InlineData(3)] // Non-empty original metadata list + public void Transform_AddsAgentAndHttpTriggers_ForEachAgent(int initialMetadataEntryCount) + { + Dictionary> agents = new() + { + { "testAgent", _ => null! } + }; + DurableAgentFunctionMetadataTransformer transformer = new(agents, GetTestLogger()); + List metadataList = BuildFunctionMetadataList(initialMetadataEntryCount); + + transformer.Transform(metadataList); + + Assert.Equal(initialMetadataEntryCount + 2, metadataList.Count); // each agent adds 2 functions (http + entity). + + DefaultFunctionMetadata agentTrigger = Assert.IsType(metadataList[initialMetadataEntryCount]); + Assert.Equal("dafx-testAgent", agentTrigger.Name); + Assert.Equal("dotnet-isolated", agentTrigger.Language); + Assert.Contains("type\":\"entityTrigger", agentTrigger.RawBindings![0]); + + DefaultFunctionMetadata httpTrigger = Assert.IsType(metadataList[initialMetadataEntryCount + 1]); + Assert.Equal("testAgent_http", httpTrigger.Name); + Assert.Equal("dotnet-isolated", httpTrigger.Language); + Assert.Contains("type\":\"httpTrigger", httpTrigger.RawBindings![0]); + Assert.Contains("route\":\"agents/testAgent/run", httpTrigger.RawBindings[0]); + } + + [Fact] + public void Transform_AddsTriggers_ForMultipleAgents() + { + Dictionary> agents = new() + { + { "agentA", _ => null! }, + { "agentB", _ => null! }, + { "agentC", _ => null! } + }; + DurableAgentFunctionMetadataTransformer transformer = new(agents, GetTestLogger()); + const int InitialMetadataEntryCount = 2; + List metadataList = BuildFunctionMetadataList(InitialMetadataEntryCount); + + transformer.Transform(metadataList); + + Assert.Equal(InitialMetadataEntryCount + (agents.Count * 2), metadataList.Count); + + foreach (string agentName in agents.Keys) + { + // The agent's entity trigger name is prefixed with "dafx-" + DefaultFunctionMetadata entityMeta = + Assert.IsType( + Assert.Single(metadataList, m => m.Name == "dafx-" + agentName)); + Assert.NotNull(entityMeta.RawBindings); + Assert.Contains("entityTrigger", entityMeta.RawBindings[0]); + + DefaultFunctionMetadata httpMeta = + Assert.IsType( + Assert.Single(metadataList, m => m.Name == agentName + "_http")); + Assert.NotNull(httpMeta.RawBindings); + Assert.Contains("httpTrigger", httpMeta.RawBindings[0]); + Assert.Contains($"agents/{agentName}/run", httpMeta.RawBindings[0]); + } + } + + private static List BuildFunctionMetadataList(int numberOfFunctions) + { + List list = []; + for (int i = 0; i < numberOfFunctions; i++) + { + list.Add(new DefaultFunctionMetadata + { + Language = "dotnet-isolated", + Name = $"SingleAgentOrchestration{i + 1}", + EntryPoint = "MyApp.Functions.SingleAgentOrchestration", + RawBindings = + [ + "{\r\n \"name\": \"context\",\r\n \"direction\": \"In\",\r\n \"type\": \"orchestrationTrigger\",\r\n \"properties\": {}\r\n }" + ], + ScriptFile = "MyApp.dll" + }); + } + + return list; + } + + private static NullLogger GetTestLogger() => new(); +} diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests.csproj b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests.csproj new file mode 100644 index 0000000000..d3842800b9 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests.csproj @@ -0,0 +1,13 @@ + + + + $(ProjectsCoreTargetFrameworks) + $(ProjectsDebugCoreTargetFrameworks) + enable + + + + + + + From 1762cda5f7224695cd48fb67ad350daa6b7b6047 Mon Sep 17 00:00:00 2001 From: Laveesh Rohra Date: Wed, 5 Nov 2025 16:21:57 -0800 Subject: [PATCH 03/19] Python: Add Durable Agent Wrapper code (#1913) * add initial changes * Move code and add single sample * Update logger * Remove unused code * address PR comments * cleanup code and address comments --------- Co-authored-by: Dmytro Struk <13853051+dmytrostruk@users.noreply.github.com> --- .gitignore | 14 +- .../__init__.py | 17 + .../agent_framework_azurefunctions/_app.py | 657 ++ .../_callbacks.py | 42 + .../_entities.py | 431 + .../agent_framework_azurefunctions/_errors.py | 13 + .../agent_framework_azurefunctions/_models.py | 381 + .../_orchestration.py | 235 + .../agent_framework_azurefunctions/_state.py | 179 + .../azurefunctions/__init__.py | 29 + python/pyproject.toml | 3 + .../azure_functions/01_single_agent/README.md | 49 + .../azure_functions/01_single_agent/demo.http | 26 + .../01_single_agent/function_app.py | 61 + .../azure_functions/01_single_agent/host.json | 7 + .../01_single_agent/local.settings.json | 10 + .../01_single_agent/requirements.txt | 2 + python/uv.lock | 6936 +++++++++-------- 18 files changed, 5632 insertions(+), 3460 deletions(-) create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/_app.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/_models.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/_state.py create mode 100644 python/packages/core/agent_framework/azurefunctions/__init__.py create mode 100644 python/samples/getting_started/azure_functions/01_single_agent/README.md create mode 100644 python/samples/getting_started/azure_functions/01_single_agent/demo.http create mode 100644 python/samples/getting_started/azure_functions/01_single_agent/function_app.py create mode 100644 python/samples/getting_started/azure_functions/01_single_agent/host.json create mode 100644 python/samples/getting_started/azure_functions/01_single_agent/local.settings.json create mode 100644 python/samples/getting_started/azure_functions/01_single_agent/requirements.txt diff --git a/.gitignore b/.gitignore index e50f681ec6..51d0ebe3ae 100644 --- a/.gitignore +++ b/.gitignore @@ -203,4 +203,16 @@ agents.md # AI .claude/ -WARP.md \ No newline at end of file +WARP.md + +# Azurite storage emulator files +*/__azurite_db_blob__.json +*/__azurite_db_blob_extent__.json +*/__azurite_db_queue__.json +*/__azurite_db_queue_extent__.json +*/__azurite_db_table__.json +*/__blobstorage__/ +*/__queuestorage__/ + +# Azure Functions local settings +local.settings.json diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py b/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py index 2a50eae894..6c97a4a6e5 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/__init__.py @@ -1 +1,18 @@ # Copyright (c) Microsoft. All rights reserved. +"""Azure Durable Agent Function App. + +This package provides integration between Microsoft Agent Framework and Azure Durable Functions, +enabling durable, stateful AI agents deployed as Azure Function Apps. +""" + +from ._app import AgentFunctionApp +from ._callbacks import AgentCallbackContext, AgentResponseCallbackProtocol +from ._orchestration import DurableAIAgent, get_agent + +__all__ = [ + "AgentCallbackContext", + "AgentFunctionApp", + "AgentResponseCallbackProtocol", + "DurableAIAgent", + "get_agent", +] diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py new file mode 100644 index 0000000000..2187f6c031 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -0,0 +1,657 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""AgentFunctionApp - Main application class. + +This module provides the AgentFunctionApp class that integrates Microsoft Agent Framework +with Azure Durable Entities, enabling stateful and durable AI agent execution. +""" + +import json +import re +from collections.abc import Mapping +from typing import Any, cast + +import azure.durable_functions as df +import azure.functions as func +from agent_framework import AgentProtocol, get_logger + +from ._callbacks import AgentResponseCallbackProtocol +from ._entities import create_agent_entity +from ._errors import IncomingRequestError +from ._models import AgentSessionId, ChatRole, RunRequest +from ._state import AgentState + +logger = get_logger("agent_framework.azurefunctions") + +SESSION_ID_FIELD: str = "sessionId" +SESSION_KEY_FIELD: str = "sessionKey" +SESSION_IDENTIFIER_KEYS: tuple[str, str] = ( + SESSION_ID_FIELD, + SESSION_KEY_FIELD, +) + + +class AgentFunctionApp(df.DFApp): + """Main application class for creating durable agent function apps using Durable Entities. + + This class uses Durable Entities pattern for agent execution, providing: + - Stateful agent conversations + - Conversation history management + - Signal-based operation invocation + - Better state management than orchestrations + + Usage: + ```python + from agent_framework.azurefunctions import AgentFunctionApp + from agent_framework.azure import AzureOpenAIAssistantsClient + + # Create agents with unique names + weather_agent = AzureOpenAIAssistantsClient(...).create_agent( + name="WeatherAgent", + instructions="You are a helpful weather agent.", + tools=[get_weather], + ) + + math_agent = AzureOpenAIAssistantsClient(...).create_agent( + name="MathAgent", + instructions="You are a helpful math assistant.", + tools=[calculate], + ) + + # Option 1: Pass list of agents during initialization + app = AgentFunctionApp(agents=[weather_agent, math_agent]) + + # Option 2: Add agents after initialization + app = AgentFunctionApp() + app.add_agent(weather_agent) + app.add_agent(math_agent) + ``` + + This creates: + - HTTP trigger endpoint for each agent's requests (if enabled) + - Durable entity for each agent's state management and execution + - Full access to all Azure Functions capabilities + + Attributes: + agents: Dictionary of agent name to AgentProtocol instance + enable_health_check: Whether health check endpoint is enabled + enable_http_endpoints: Whether HTTP endpoints are created for agents + max_poll_retries: Maximum polling attempts when waiting for responses + poll_interval_seconds: Delay (seconds) between polling attempts + """ + + agents: dict[str, AgentProtocol] + enable_health_check: bool + enable_http_endpoints: bool + agent_http_endpoint_flags: dict[str, bool] + + def __init__( + self, + agents: list[AgentProtocol] | None = None, + http_auth_level: func.AuthLevel = func.AuthLevel.ANONYMOUS, + enable_health_check: bool = True, + enable_http_endpoints: bool = True, + max_poll_retries: int = 10, + poll_interval_seconds: float = 0.5, + default_callback: AgentResponseCallbackProtocol | None = None, + ): + """Initialize the AgentFunctionApp. + + Args: + agents: List of agent instances to register + http_auth_level: HTTP authentication level (default: ANONYMOUS) + enable_health_check: Enable built-in health check endpoint (default: True) + enable_http_endpoints: Enable HTTP endpoints for agents (default: True) + max_poll_retries: Maximum number of polling attempts when waiting for a response + poll_interval_seconds: Delay (in seconds) between polling attempts + default_callback: Optional callback invoked for agents without specific callbacks + + Note: + If no agents are provided, they can be added later using add_agent(). + """ + logger.debug("[AgentFunctionApp] Initializing with Durable Entities...") + + # Initialize parent DFApp + super().__init__(http_auth_level=http_auth_level) + + # Initialize agents dictionary + self.agents = {} + self.agent_http_endpoint_flags = {} + self.enable_health_check = enable_health_check + self.enable_http_endpoints = enable_http_endpoints + self.default_callback = default_callback + + try: + retries = int(max_poll_retries) + except (TypeError, ValueError): + retries = 10 + self.max_poll_retries = max(1, retries) + + try: + interval = float(poll_interval_seconds) + except (TypeError, ValueError): + interval = 0.5 + self.poll_interval_seconds = interval if interval > 0 else 0.5 + + if agents: + # Register all provided agents + logger.debug(f"[AgentFunctionApp] Registering {len(agents)} agent(s)") + for agent_instance in agents: + self.add_agent(agent_instance) + + # Setup health check if enabled + if self.enable_health_check: + self._setup_health_route() + + logger.debug("[AgentFunctionApp] Initialization complete") + + def add_agent( + self, + agent: AgentProtocol, + callback: AgentResponseCallbackProtocol | None = None, + enable_http_endpoint: bool | None = None, + ) -> None: + """Add an agent to the function app after initialization. + + Args: + agent: The Microsoft Agent Framework agent instance (must implement AgentProtocol) + The agent must have a 'name' attribute. + callback: Optional callback invoked during agent execution + enable_http_endpoint: Optional flag that overrides the app-level + HTTP endpoint setting for this agent + + Raises: + ValueError: If the agent doesn't have a 'name' attribute or if an agent + with the same name is already registered + """ + # Get agent name from the agent's name attribute + name = getattr(agent, "name", None) + if name is None: + raise ValueError("Agent does not have a 'name' attribute. All agents must have a 'name' attribute.") + + if name in self.agents: + raise ValueError(f"Agent with name '{name}' is already registered. Each agent must have a unique name.") + + effective_enable_http_endpoint = ( + self.enable_http_endpoints if enable_http_endpoint is None else self._coerce_to_bool(enable_http_endpoint) + ) + + logger.debug(f"[AgentFunctionApp] Adding agent: {name}") + logger.debug(f"[AgentFunctionApp] Route: /api/agents/{name}") + logger.debug( + "[AgentFunctionApp] HTTP endpoint %s for agent '%s'", + "enabled" if effective_enable_http_endpoint else "disabled", + name, + ) + + self.agents[name] = agent + self.agent_http_endpoint_flags[name] = effective_enable_http_endpoint + + effective_callback = callback or self.default_callback + + self._setup_agent_functions( + agent, + name, + effective_callback, + effective_enable_http_endpoint, + ) + + logger.debug(f"[AgentFunctionApp] Agent '{name}' added successfully") + + def _setup_agent_functions( + self, + agent: AgentProtocol, + agent_name: str, + callback: AgentResponseCallbackProtocol | None, + enable_http_endpoint: bool, + ) -> None: + """Set up the HTTP trigger and entity for a specific agent. + + Args: + agent: The agent instance + agent_name: The name to use for routing and entity registration + callback: Optional callback to receive response updates + enable_http_endpoint: Whether the HTTP run route is enabled for + this agent + """ + logger.debug(f"[AgentFunctionApp] Setting up functions for agent '{agent_name}'...") + + if enable_http_endpoint: + self._setup_http_run_route(agent_name) + else: + logger.debug( + "[AgentFunctionApp] HTTP run route disabled for agent '%s'", + agent_name, + ) + self._setup_agent_entity(agent, agent_name, callback) + + def _setup_http_run_route(self, agent_name: str) -> None: + """Register the POST route that triggers agent execution. + + Args: + agent_name: The agent name (used for both routing and entity identification) + """ + run_function_name = self._build_function_name(agent_name, "run") + + @self.function_name(run_function_name) + @self.route(route=f"agents/{agent_name}/run", methods=["POST"]) + @self.durable_client_input(client_name="client") + async def http_start(req: func.HttpRequest, client: df.DurableOrchestrationClient) -> func.HttpResponse: + """HTTP trigger that calls a durable entity to execute the agent and returns the result. + + Expected request body (RunRequest format): + { + "message": "user message to agent", + "sessionId": "optional session id (or sessionKey)", + "role": "user|system" (optional, default: "user"), + "response_format": {...} (optional JSON schema for structured responses), + "enable_tool_calls": true|false (optional, default: true) + } + """ + logger.debug(f"[HTTP Trigger] Received request on route: /api/agents/{agent_name}/run") + + try: + req_body, message = self._parse_incoming_request(req) + session_key = self._resolve_session_key(req=req, req_body=req_body) + wait_for_completion = self._should_wait_for_completion(req=req, req_body=req_body) + + logger.debug(f"[HTTP Trigger] Message: {message}") + logger.debug(f"[HTTP Trigger] Session Key: {session_key}") + logger.debug(f"[HTTP Trigger] wait_for_completion: {wait_for_completion}") + + if not message: + logger.warning("[HTTP Trigger] Request rejected: Missing message") + return func.HttpResponse( + json.dumps({"error": "Message is required"}), status_code=400, mimetype="application/json" + ) + + session_id = self._create_session_id(agent_name, session_key) + correlation_id = self._generate_unique_id() + + logger.debug(f"[HTTP Trigger] Using session ID: {session_id}") + logger.debug(f"[HTTP Trigger] Generated correlation ID: {correlation_id}") + logger.debug("[HTTP Trigger] Calling entity to run agent...") + + entity_instance_id = session_id.to_entity_id() + run_request = self._build_request_data( + req_body, + message, + session_key, + correlation_id, + ) + logger.debug("Signalling entity %s with request: %s", entity_instance_id, run_request) + await client.signal_entity(entity_instance_id, "run_agent", run_request) + + logger.debug(f"[HTTP Trigger] Signal sent to entity {session_id}") + + if wait_for_completion: + result = await self._get_response_from_entity( + client=client, + entity_instance_id=entity_instance_id, + correlation_id=correlation_id, + message=message, + session_key=session_key, + ) + + logger.debug(f"[HTTP Trigger] Result status: {result.get('status', 'unknown')}") + return func.HttpResponse( + json.dumps(result), + status_code=200 if result.get("status") == "success" else 500, + mimetype="application/json", + ) + + logger.debug("[HTTP Trigger] wait_for_completion disabled; returning correlation ID") + + accepted_response = self._build_accepted_response( + message=message, session_key=session_key, correlation_id=correlation_id + ) + + return func.HttpResponse(json.dumps(accepted_response), status_code=202, mimetype="application/json") + + except IncomingRequestError as exc: + logger.warning(f"[HTTP Trigger] Request rejected: {exc!s}") + return func.HttpResponse( + json.dumps({"error": str(exc)}), status_code=exc.status_code, mimetype="application/json" + ) + except ValueError as exc: + logger.error(f"[HTTP Trigger] Invalid JSON: {exc!s}") + return func.HttpResponse( + json.dumps({"error": "Invalid JSON"}), status_code=400, mimetype="application/json" + ) + except Exception as exc: + logger.error(f"[HTTP Trigger] Error: {exc!s}", exc_info=True) + return func.HttpResponse(json.dumps({"error": str(exc)}), status_code=500, mimetype="application/json") + + _ = http_start + + def _setup_agent_entity( + self, + agent: AgentProtocol, + agent_name: str, + callback: AgentResponseCallbackProtocol | None, + ) -> None: + """Register the durable entity responsible for agent state. + + Args: + agent: The agent instance + agent_name: The agent name (used for both entity identification and function naming) + callback: Optional callback for response updates + """ + # Use the prefixed entity name for both registration and function naming + entity_name_with_prefix = AgentSessionId.to_entity_name(agent_name) + + def entity_function(context: df.DurableEntityContext) -> None: + """Durable entity that manages agent execution and conversation state. + + Operations: + - run_agent: Execute the agent with a message + - reset: Clear conversation history + """ + entity_handler = create_agent_entity(agent, callback) + entity_handler(context) + + # Set function name for Azure Functions (used in function.json generation) + # Use the prefixed entity name as the function name too. + entity_function.__name__ = entity_name_with_prefix + self.entity_trigger(context_name="context", entity_name=entity_name_with_prefix)(entity_function) + + def _setup_health_route(self) -> None: + """Register the optional health check route.""" + + @self.route(route="health", methods=["GET"]) + def health_check(req: func.HttpRequest) -> func.HttpResponse: + """Built-in health check endpoint.""" + agent_info = [ + { + "name": name, + "type": type(agent).__name__, + "httpEndpointEnabled": self.agent_http_endpoint_flags.get( + name, + self.enable_http_endpoints, + ), + } + for name, agent in self.agents.items() + ] + return func.HttpResponse( + json.dumps({"status": "healthy", "agents": agent_info, "agent_count": len(self.agents)}), + status_code=200, + mimetype="application/json", + ) + + _ = health_check + + @staticmethod + def _build_function_name(agent_name: str, suffix: str) -> str: + """Generate a unique, Azure Functions-compliant name for an agent function.""" + sanitized = re.sub(r"[^0-9a-zA-Z_]", "_", agent_name or "agent").strip("_") + + if not sanitized: + sanitized = "agent" + + if sanitized[0].isdigit(): + sanitized = f"agent_{sanitized}" + + return f"{sanitized}_{suffix}" + + async def _read_cached_state( + self, + client: df.DurableOrchestrationClient, + entity_instance_id: df.EntityId, + ) -> AgentState | None: + state_response = await client.read_entity_state(entity_instance_id) + if not state_response or not state_response.entity_exists: + return None + + state_payload = state_response.entity_state + if not isinstance(state_payload, dict): + return None + + typed_state_payload = cast(dict[str, Any], state_payload) + + agent_state = AgentState() + agent_state.restore_state(typed_state_payload) + return agent_state + + async def _get_response_from_entity( + self, + client: df.DurableOrchestrationClient, + entity_instance_id: df.EntityId, + correlation_id: str, + message: str, + session_key: str, + ) -> dict[str, Any]: + """Poll the entity state until a response is available or timeout occurs.""" + import asyncio + + max_retries = self.max_poll_retries + interval = self.poll_interval_seconds + retry_count = 0 + result: dict[str, Any] | None = None + + logger.debug(f"[HTTP Trigger] Waiting for response with correlation ID: {correlation_id}") + + while retry_count < max_retries: + await asyncio.sleep(interval) + + result = await self._poll_entity_for_response( + client=client, + entity_instance_id=entity_instance_id, + correlation_id=correlation_id, + message=message, + session_key=session_key, + ) + if result is not None: + break + + logger.debug(f"[HTTP Trigger] Response not available yet (retry {retry_count})") + retry_count += 1 + + if result is not None: + return result + + logger.warning( + f"[HTTP Trigger] Response with correlation ID {correlation_id} " + f"not found in time (waited {max_retries * interval} seconds)" + ) + return await self._build_timeout_result(message=message, session_key=session_key, correlation_id=correlation_id) + + async def _poll_entity_for_response( + self, + client: df.DurableOrchestrationClient, + entity_instance_id: df.EntityId, + correlation_id: str, + message: str, + session_key: str, + ) -> dict[str, Any] | None: + result: dict[str, Any] | None = None + try: + state = await self._read_cached_state(client, entity_instance_id) + + if state is None: + return None + + agent_response = state.try_get_agent_response(correlation_id) + if agent_response: + result = self._build_success_result( + response_data=agent_response, + message=message, + session_key=session_key, + correlation_id=correlation_id, + state=state, + ) + logger.debug(f"[HTTP Trigger] Found response for correlation ID: {correlation_id}") + + except Exception as exc: + logger.warning(f"[HTTP Trigger] Error reading entity state: {exc}") + + return result + + async def _build_timeout_result(self, message: str, session_key: str, correlation_id: str) -> dict[str, Any]: + """Create the timeout response.""" + return { + "response": "Agent is still processing or timed out...", + "message": message, + SESSION_ID_FIELD: session_key, + "status": "timeout", + "correlationId": correlation_id, + } + + def _build_success_result( + self, response_data: dict[str, Any], message: str, session_key: str, correlation_id: str, state: AgentState + ) -> dict[str, Any]: + """Build the success result returned to the HTTP caller.""" + return { + "response": response_data.get("content"), + "message": message, + SESSION_ID_FIELD: session_key, + "status": "success", + "message_count": response_data.get("message_count", state.message_count), + "correlationId": correlation_id, + } + + def _build_request_data( + self, req_body: dict[str, Any], message: str, conversation_id: str, correlation_id: str + ) -> dict[str, Any]: + """Create the durable entity request payload.""" + enable_tool_calls_value = req_body.get("enable_tool_calls") + enable_tool_calls = True if enable_tool_calls_value is None else self._coerce_to_bool(enable_tool_calls_value) + + role = self._coerce_chat_role(req_body.get("role")) + + return RunRequest( + message=message, + role=role, + response_format=req_body.get("response_format"), + enable_tool_calls=enable_tool_calls, + conversation_id=conversation_id, + correlation_id=correlation_id, + ).to_dict() + + def _build_accepted_response(self, message: str, session_key: str, correlation_id: str) -> dict[str, Any]: + """Build the response returned when not waiting for completion.""" + return { + "response": "Agent request accepted", + "message": message, + SESSION_ID_FIELD: session_key, + "status": "accepted", + "correlationId": correlation_id, + } + + def _generate_unique_id(self) -> str: + """Generate a new unique identifier.""" + import uuid + + return uuid.uuid4().hex + + def _create_session_id(self, func_name: str, session_key: str | None) -> AgentSessionId: + """Create a session identifier using the provided key or a random value.""" + if session_key: + return AgentSessionId(name=func_name, key=session_key) + return AgentSessionId.with_random_key(name=func_name) + + def _resolve_session_key(self, req: func.HttpRequest, req_body: dict[str, Any]) -> str: + """Retrieve the session key from request body or query parameters.""" + params = req.params or {} + + for key in SESSION_IDENTIFIER_KEYS: + if key in req_body: + value = req_body.get(key) + if value is not None: + return str(value) + + for key in SESSION_IDENTIFIER_KEYS: + if key in params: + value = params.get(key) + if value is not None: + return str(value) + + logger.debug("[HTTP Trigger] No session identifier provided; using random session key") + return self._generate_unique_id() + + def _parse_incoming_request(self, req: func.HttpRequest) -> tuple[dict[str, Any], Any]: + """Parse the incoming run request supporting JSON and plain text bodies.""" + headers: dict[str, str] = {} + raw_headers = req.headers + if isinstance(raw_headers, Mapping): + headers_mapping = cast(Mapping[Any, Any], raw_headers) + for key, value in headers_mapping.items(): + if value is not None: + headers[str(key)] = str(value) + + content_type_header = headers.get("content-type") + + normalized_content_type = "" + if content_type_header: + normalized_content_type = content_type_header.split(";")[0].strip().lower() + + if normalized_content_type in {"application/json"} or normalized_content_type.endswith("+json"): + parser = self._parse_json_body + else: + parser = self._parse_text_body + + return parser(req) + + @staticmethod + def _parse_json_body(req: func.HttpRequest) -> tuple[dict[str, Any], Any]: + req_body = req.get_json() + if not isinstance(req_body, dict): + raise IncomingRequestError("Invalid JSON payload. Expected an object.") + + typed_req_body = cast(dict[str, Any], req_body) + message_value = typed_req_body.get("message", "") + message = message_value if isinstance(message_value, str) else str(message_value) + return typed_req_body, message + + @staticmethod + def _parse_text_body(req: func.HttpRequest) -> tuple[dict[str, Any], Any]: + body_bytes = req.get_body() + text_body = body_bytes.decode("utf-8", errors="replace") if body_bytes else "" + message = text_body.strip() + + if not message: + raise IncomingRequestError("Message is required") + + return {}, message + + def _should_wait_for_completion(self, req: func.HttpRequest, req_body: dict[str, Any]) -> bool: + """Determine whether the caller requested to wait for completion.""" + header_value = None + raw_headers = req.headers + if isinstance(raw_headers, Mapping): + headers_mapping = cast(Mapping[Any, Any], raw_headers) + for key, value in headers_mapping.items(): + if str(key).lower() == "x-wait-for-completion": + header_value = value + break + + if header_value is not None: + return self._coerce_to_bool(header_value) + + for key in ("wait_for_completion", "waitForCompletion", "WaitForCompletion"): + if key in req_body: + return self._coerce_to_bool(req_body.get(key)) + + return False + + def _coerce_chat_role(self, value: Any) -> ChatRole: + """Convert user-provided role to ChatRole, defaulting to user on error.""" + if isinstance(value, ChatRole): + return value + if isinstance(value, str): + try: + return ChatRole(value.strip().lower()) + except ValueError: + logger.warning("[AgentFunctionApp] Invalid role '%s'; defaulting to user", value) + return ChatRole.USER + + def _coerce_to_bool(self, value: Any) -> bool: + """Convert various representations into a boolean flag.""" + if isinstance(value, bool): + return value + if value is None: + return False + if isinstance(value, (int, float)): + return bool(value) + if isinstance(value, str): + return value.strip().lower() in {"true", "1", "yes", "y", "on"} + return False diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py new file mode 100644 index 0000000000..8e6639ea40 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py @@ -0,0 +1,42 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Callback interfaces for Durable Agent executions. + +This module enables callers of AgentFunctionApp to supply streaming and final-response callbacks that are +invoked during durable entity execution. +""" + +from __future__ import annotations + +from dataclasses import dataclass +from typing import Protocol + +from agent_framework import AgentRunResponse, AgentRunResponseUpdate + + +@dataclass(frozen=True) +class AgentCallbackContext: + """Context supplied to callback invocations.""" + + agent_name: str + correlation_id: str + conversation_id: str | None = None + request_message: str | None = None + + +class AgentResponseCallbackProtocol(Protocol): + """Protocol describing the callbacks invoked during agent execution.""" + + async def on_streaming_response_update( + self, + update: AgentRunResponseUpdate, + context: AgentCallbackContext, + ) -> None: + """Handle a streaming response update emitted by the agent.""" + + async def on_agent_response( + self, + response: AgentRunResponse, + context: AgentCallbackContext, + ) -> None: + """Handle the final agent response.""" diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py new file mode 100644 index 0000000000..2ce73c2e02 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py @@ -0,0 +1,431 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Durable Entity for Agent Execution. + +This module defines a durable entity that manages agent state and execution. +Using entities instead of orchestrations provides better state management and +allows for long-running agent conversations. +""" + +import asyncio +import inspect +import json +from collections.abc import AsyncIterable +from typing import Any, cast + +import azure.durable_functions as df +from agent_framework import AgentProtocol, AgentRunResponse, AgentRunResponseUpdate, get_logger + +from ._callbacks import AgentCallbackContext, AgentResponseCallbackProtocol +from ._models import AgentResponse, ChatRole, RunRequest +from ._state import AgentState + +logger = get_logger("agent_framework.azurefunctions.entities") + + +class AgentEntity: + """Durable entity that manages agent execution and conversation state. + + This entity: + - Maintains conversation history + - Executes agent with messages + - Stores agent responses + - Handles tool execution + + Operations: + - run_agent: Execute the agent with a message + - reset: Clear conversation history + + Attributes: + agent: The AgentProtocol instance + state: The AgentState managing conversation history + """ + + agent: AgentProtocol + state: AgentState + + def __init__( + self, + agent: AgentProtocol, + callback: AgentResponseCallbackProtocol | None = None, + ): + """Initialize the agent entity. + + Args: + agent: The Microsoft Agent Framework agent instance (must implement AgentProtocol) + callback: Optional callback invoked during streaming updates and final responses + """ + self.agent = agent + self.state = AgentState() + self.callback = callback + + logger.debug(f"[AgentEntity] Initialized with agent type: {type(agent).__name__}") + + async def run_agent( + self, + context: df.DurableEntityContext, + request: RunRequest | dict[str, Any] | str, + ) -> dict[str, Any]: + """Execute the agent with a message directly in the entity. + + Args: + context: Entity context + request: RunRequest object, dict, or string message (for backward compatibility) + + Returns: + Dict with status information and response (serialized AgentResponse) + + Note: + The agent returns an AgentRunResponse object which is stored in state. + This method extracts the text/structured response and returns an AgentResponse dict. + """ + # Convert string or dict to RunRequest + if isinstance(request, str): + run_request = RunRequest(message=request, role=ChatRole.USER) + elif isinstance(request, dict): + run_request = RunRequest.from_dict(request) + else: + run_request = request + + message = run_request.message + conversation_id = run_request.conversation_id + correlation_id = run_request.correlation_id + if not conversation_id: + raise ValueError("RunRequest must include a conversation_id") + if not correlation_id: + raise ValueError("RunRequest must include a correlation_id") + role = run_request.role or ChatRole.USER + response_format = run_request.response_format + enable_tool_calls = run_request.enable_tool_calls + + logger.debug(f"[AgentEntity.run_agent] Received message: {message}") + logger.debug(f"[AgentEntity.run_agent] Conversation ID: {conversation_id}") + logger.debug(f"[AgentEntity.run_agent] Correlation ID: {correlation_id}") + logger.debug(f"[AgentEntity.run_agent] Role: {role.value if isinstance(role, ChatRole) else role}") + logger.debug(f"[AgentEntity.run_agent] Enable tool calls: {enable_tool_calls}") + logger.debug(f"[AgentEntity.run_agent] Response format: {'provided' if response_format else 'none'}") + + # Store message in history with role + role_str = role.value if isinstance(role, ChatRole) else role + self.state.add_user_message(message, role=role_str, correlation_id=correlation_id) + + logger.debug("[AgentEntity.run_agent] Executing agent...") + + try: + logger.debug("[AgentEntity.run_agent] Starting agent invocation") + + run_kwargs: dict[str, Any] = {"messages": self.state.get_chat_messages()} + if not enable_tool_calls: + run_kwargs["tools"] = None + if response_format: + run_kwargs["response_format"] = response_format + + agent_run_response: AgentRunResponse = await self._invoke_agent( + run_kwargs=run_kwargs, + correlation_id=correlation_id, + conversation_id=conversation_id, + request_message=message, + ) + + logger.debug( + "[AgentEntity.run_agent] Agent invocation completed - response type: %s", + type(agent_run_response).__name__, + ) + + response_text = None + structured_response = None + + response_str: str | None = None + try: + if response_format: + try: + response_str = agent_run_response.text + structured_response = json.loads(response_str) + logger.debug("Parsed structured JSON response") + except json.JSONDecodeError as decode_error: + logger.warning(f"Failed to parse JSON response: {decode_error}") + response_text = response_str + else: + raw_text = agent_run_response.text + response_text = raw_text if raw_text else "No response" + preview = response_text + logger.debug(f"Response: {preview[:100]}..." if len(preview) > 100 else f"Response: {preview}") + except Exception as extraction_error: + logger.error( + f"Error extracting response: {extraction_error}", + exc_info=True, + ) + response_text = "Error extracting response" + + agent_response = AgentResponse( + response=response_text, + message=str(message), + conversation_id=str(conversation_id), + status="success", + message_count=self.state.message_count, + structured_response=structured_response, + ) + result = agent_response.to_dict() + + content = json.dumps(structured_response) if structured_response else (response_text or "") + self.state.add_assistant_message(content, agent_run_response, correlation_id) + logger.debug("[AgentEntity.run_agent] AgentRunResponse stored in conversation history") + + return result + + except Exception as exc: + import traceback + + error_traceback = traceback.format_exc() + logger.error("[AgentEntity.run_agent] Agent execution failed") + logger.error(f"Error: {exc!s}") + logger.error(f"Error type: {type(exc).__name__}") + logger.error(f"Full traceback:\n{error_traceback}") + + error_response = AgentResponse( + response=f"Error: {exc!s}", + message=str(message), + conversation_id=str(conversation_id), + status="error", + message_count=self.state.message_count, + error=str(exc), + error_type=type(exc).__name__, + ) + return error_response.to_dict() + + async def _invoke_agent( + self, + run_kwargs: dict[str, Any], + correlation_id: str, + conversation_id: str, + request_message: str, + ) -> AgentRunResponse: + """Execute the agent, preferring streaming when available.""" + callback_context: AgentCallbackContext | None = None + if self.callback is not None: + callback_context = self._build_callback_context( + correlation_id=correlation_id, + conversation_id=conversation_id, + request_message=request_message, + ) + + run_stream_callable = getattr(self.agent, "run_stream", None) + if callable(run_stream_callable): + try: + stream_candidate = run_stream_callable(**run_kwargs) + if inspect.isawaitable(stream_candidate): + stream_candidate = await stream_candidate + + return await self._consume_stream( + stream=cast(AsyncIterable[AgentRunResponseUpdate], stream_candidate), + callback_context=callback_context, + ) + except TypeError as type_error: + if "__aiter__" not in str(type_error): + raise + logger.debug( + "run_stream returned a non-async result; falling back to run(): %s", + type_error, + ) + except Exception as stream_error: + logger.warning( + "run_stream failed; falling back to run(): %s", + stream_error, + exc_info=True, + ) + else: + logger.debug("Agent does not expose run_stream; falling back to run().") + + agent_run_response = await self._invoke_non_stream(run_kwargs) + await self._notify_final_response(agent_run_response, callback_context) + return agent_run_response + + async def _consume_stream( + self, + stream: AsyncIterable[AgentRunResponseUpdate], + callback_context: AgentCallbackContext | None = None, + ) -> AgentRunResponse: + """Consume streaming responses and build the final AgentRunResponse.""" + updates: list[AgentRunResponseUpdate] = [] + + async for update in stream: + updates.append(update) + await self._notify_stream_update(update, callback_context) + + if updates: + response = AgentRunResponse.from_agent_run_response_updates(updates) + else: + logger.debug("[AgentEntity] No streaming updates received; creating empty response") + response = AgentRunResponse(messages=[]) + + await self._notify_final_response(response, callback_context) + return response + + async def _invoke_non_stream(self, run_kwargs: dict[str, Any]) -> AgentRunResponse: + """Invoke the agent without streaming support.""" + run_callable = getattr(self.agent, "run", None) + if run_callable is None or not callable(run_callable): + raise AttributeError("Agent does not implement run() method") + + result = run_callable(**run_kwargs) + if inspect.isawaitable(result): + result = await result + + if not isinstance(result, AgentRunResponse): + raise TypeError(f"Agent run() must return an AgentRunResponse instance; received {type(result).__name__}") + + return result + + async def _notify_stream_update( + self, + update: AgentRunResponseUpdate, + context: AgentCallbackContext | None, + ) -> None: + """Invoke the streaming callback if one is registered.""" + if self.callback is None or context is None: + return + + try: + callback_result = self.callback.on_streaming_response_update(update, context) + if inspect.isawaitable(callback_result): + await callback_result + except Exception as exc: + logger.warning( + "[AgentEntity] Streaming callback raised an exception: %s", + exc, + exc_info=True, + ) + + async def _notify_final_response( + self, + response: AgentRunResponse, + context: AgentCallbackContext | None, + ) -> None: + """Invoke the final response callback if one is registered.""" + if self.callback is None or context is None: + return + + try: + callback_result = self.callback.on_agent_response(response, context) + if inspect.isawaitable(callback_result): + await callback_result + except Exception as exc: + logger.warning( + "[AgentEntity] Response callback raised an exception: %s", + exc, + exc_info=True, + ) + + def _build_callback_context( + self, + correlation_id: str, + conversation_id: str, + request_message: str, + ) -> AgentCallbackContext: + """Create the callback context provided to consumers.""" + agent_name = getattr(self.agent, "name", None) or type(self.agent).__name__ + return AgentCallbackContext( + agent_name=agent_name, + correlation_id=correlation_id, + conversation_id=conversation_id, + request_message=request_message, + ) + + def reset(self, context: df.DurableEntityContext) -> None: + """Reset the entity state (clear conversation history).""" + logger.debug("[AgentEntity.reset] Resetting entity state") + self.state.reset() + logger.debug("[AgentEntity.reset] State reset complete") + + +def create_agent_entity( + agent: AgentProtocol, + callback: AgentResponseCallbackProtocol | None = None, +): + """Factory function to create an agent entity class. + + Args: + agent: The Microsoft Agent Framework agent instance (must implement AgentProtocol) + callback: Optional callback invoked during streaming and final responses + + Returns: + Entity function configured with the agent + """ + + async def _entity_coroutine(context: df.DurableEntityContext) -> None: + """Async handler that executes the entity operations.""" + try: + logger.debug("[entity_function] Entity triggered") + logger.debug(f"[entity_function] Operation: {context.operation_name}") + + current_state = context.get_state(lambda: None) + logger.debug("Retrieved state: %s", str(current_state)[:100]) + entity = AgentEntity(agent, callback) + + if current_state is not None: + entity.state.restore_state(current_state) + logger.debug( + "[entity_function] Restored entity from state (message_count: %s)", entity.state.message_count + ) + else: + logger.debug("[entity_function] Created new entity instance") + + operation = context.operation_name + + if operation == "run_agent": + input_data: Any = context.get_input() + + # Support both old format (message + conversation_id) and new format (RunRequest dict) + # This provides backward compatibility + request: str | dict[str, Any] + if isinstance(input_data, dict) and "message" in input_data: + # Input can be either old format or new RunRequest format + request = cast(dict[str, Any], input_data) + else: + # Fall back to treating input as message string + request = "" if input_data is None else str(cast(object, input_data)) + + result = await entity.run_agent(context, request) + context.set_result(result) + + elif operation == "reset": + entity.reset(context) + context.set_result({"status": "reset"}) + + else: + logger.error("[entity_function] Unknown operation: %s", operation) + context.set_result({"error": f"Unknown operation: {operation}"}) + + context.set_state(entity.state.to_dict()) + logger.debug(f"[entity_function] Operation {operation} completed successfully") + + except Exception as exc: + import traceback + + logger.error("[entity_function] Error in entity: %s", exc) + logger.error(f"[entity_function] Traceback:\n{traceback.format_exc()}") + context.set_result({"error": str(exc), "status": "error"}) + + def entity_function(context: df.DurableEntityContext) -> None: + """Synchronous wrapper invoked by the Durable Functions runtime.""" + try: + try: + loop = asyncio.get_event_loop() + except RuntimeError: + loop = asyncio.new_event_loop() + asyncio.set_event_loop(loop) + + if loop.is_running(): + temp_loop = asyncio.new_event_loop() + try: + temp_loop.run_until_complete(_entity_coroutine(context)) + finally: + temp_loop.close() + else: + loop.run_until_complete(_entity_coroutine(context)) + + except Exception as exc: # pragma: no cover - defensive logging + logger.error("[entity_function] Unexpected error executing entity: %s", exc, exc_info=True) + context.set_result({"error": str(exc), "status": "error"}) + + return entity_function diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py new file mode 100644 index 0000000000..b2f96c7ebb --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py @@ -0,0 +1,13 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Custom exception types for the durable agent framework.""" + +from __future__ import annotations + + +class IncomingRequestError(ValueError): + """Raised when an incoming HTTP request cannot be parsed or validated.""" + + def __init__(self, message: str, status_code: int = 400) -> None: + super().__init__(message) + self.status_code = status_code diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py new file mode 100644 index 0000000000..15f24666bb --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py @@ -0,0 +1,381 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Data models for Durable Agent Framework. + +This module defines the request and response models used by the framework. +""" + +import inspect +import uuid +from collections.abc import MutableMapping +from dataclasses import dataclass +from enum import Enum +from importlib import import_module +from typing import TYPE_CHECKING, Any, cast + +import azure.durable_functions as df +from agent_framework import AgentThread + +if TYPE_CHECKING: # pragma: no cover - type checking imports only + from pydantic import BaseModel + +_PydanticBaseModel: type["BaseModel"] | None +try: + from pydantic import BaseModel as _RuntimeBaseModel +except ImportError: # pragma: no cover - optional dependency + _PydanticBaseModel = None +else: + _PydanticBaseModel = _RuntimeBaseModel + + +class ChatRole(str, Enum): + """Chat message role enum.""" + + USER = "user" + SYSTEM = "system" + ASSISTANT = "assistant" + + +@dataclass +class AgentSessionId: + """Represents an agent session ID, which is used to identify a long-running agent session. + + Attributes: + name: The name of the agent that owns the session (case-insensitive) + key: The unique key of the agent session (case-sensitive) + """ + + name: str + key: str + + ENTITY_NAME_PREFIX: str = "dafx-" + + @staticmethod + def to_entity_name(name: str) -> str: + """Converts an agent name to an entity name by adding the DAFx prefix. + + Args: + name: The agent name + + Returns: + The entity name with the dafx- prefix + """ + return f"{AgentSessionId.ENTITY_NAME_PREFIX}{name}" + + @staticmethod + def with_random_key(name: str) -> "AgentSessionId": + """Creates a new AgentSessionId with the specified name and a randomly generated key. + + Args: + name: The name of the agent that owns the session + + Returns: + A new AgentSessionId with the specified name and a random GUID key + """ + return AgentSessionId(name=name, key=uuid.uuid4().hex) + + def to_entity_id(self) -> df.EntityId: + """Converts this AgentSessionId to a Durable Functions EntityId. + + Returns: + EntityId for use with Durable Functions APIs + """ + return df.EntityId(self.to_entity_name(self.name), self.key) + + @staticmethod + def from_entity_id(entity_id: df.EntityId) -> "AgentSessionId": + """Creates an AgentSessionId from a Durable Functions EntityId. + + Args: + entity_id: The EntityId to convert + + Returns: + AgentSessionId instance + + Raises: + ValueError: If the entity ID does not have the expected prefix + """ + if not entity_id.name.startswith(AgentSessionId.ENTITY_NAME_PREFIX): + raise ValueError( + f"'{entity_id}' is not a valid agent session ID. " + f"Expected entity name to start with '{AgentSessionId.ENTITY_NAME_PREFIX}'" + ) + + agent_name = entity_id.name[len(AgentSessionId.ENTITY_NAME_PREFIX) :] + return AgentSessionId(name=agent_name, key=entity_id.key) + + def __str__(self) -> str: + """Returns a string representation in the form @name@key.""" + return f"@{self.name}@{self.key}" + + def __repr__(self) -> str: + """Returns a detailed string representation.""" + return f"AgentSessionId(name='{self.name}', key='{self.key}')" + + @staticmethod + def parse(session_id_string: str) -> "AgentSessionId": + """Parses a string representation of an agent session ID. + + Args: + session_id_string: A string in the form @name@key + + Returns: + AgentSessionId instance + + Raises: + ValueError: If the string format is invalid + """ + if not session_id_string.startswith("@"): + raise ValueError(f"Invalid agent session ID format: {session_id_string}") + + parts = session_id_string[1:].split("@", 1) + if len(parts) != 2: + raise ValueError(f"Invalid agent session ID format: {session_id_string}") + + return AgentSessionId(name=parts[0], key=parts[1]) + + +class DurableAgentThread(AgentThread): + """Durable agent thread that tracks the owning :class:`AgentSessionId`.""" + + _SERIALIZED_SESSION_ID_KEY = "durable_session_id" + + def __init__( + self, + *, + session_id: AgentSessionId | None = None, + service_thread_id: str | None = None, + message_store: Any = None, + context_provider: Any = None, + ) -> None: + super().__init__( + service_thread_id=service_thread_id, + message_store=message_store, + context_provider=context_provider, + ) + self._session_id: AgentSessionId | None = session_id + + @property + def session_id(self) -> AgentSessionId | None: + """Returns the durable agent session identifier for this thread.""" + return self._session_id + + def attach_session(self, session_id: AgentSessionId) -> None: + """Associates the thread with the provided :class:`AgentSessionId`.""" + self._session_id = session_id + + @classmethod + def from_session_id( + cls, + session_id: AgentSessionId, + *, + service_thread_id: str | None = None, + message_store: Any = None, + context_provider: Any = None, + ) -> "DurableAgentThread": + """Creates a durable thread pre-associated with the supplied session ID.""" + return cls( + session_id=session_id, + service_thread_id=service_thread_id, + message_store=message_store, + context_provider=context_provider, + ) + + async def serialize(self, **kwargs: Any) -> dict[str, Any]: + """Serializes thread state including the durable session identifier.""" + state = await super().serialize(**kwargs) + if self._session_id is not None: + state[self._SERIALIZED_SESSION_ID_KEY] = str(self._session_id) + return state + + @classmethod + async def deserialize( + cls, + serialized_thread_state: MutableMapping[str, Any], + *, + message_store: Any = None, + **kwargs: Any, + ) -> "DurableAgentThread": + """Restores a durable thread, rehydrating the stored session identifier.""" + session_id_value = serialized_thread_state.get(cls._SERIALIZED_SESSION_ID_KEY) + thread = await super().deserialize( + serialized_thread_state, + message_store=message_store, + **kwargs, + ) + if not isinstance(thread, DurableAgentThread): + raise TypeError("Deserialized thread is not a DurableAgentThread instance") + + if session_id_value is None: + return thread + + if not isinstance(session_id_value, str): + raise ValueError("durable_session_id must be a string when present in serialized state") + + thread.attach_session(AgentSessionId.parse(session_id_value)) + return thread + + +def _serialize_response_format(response_format: type["BaseModel"] | None) -> Any: + """Serialize response format for transport across durable function boundaries.""" + if response_format is None: + return None + + if _PydanticBaseModel is None: + raise RuntimeError("pydantic is required to use structured response formats") + + if not inspect.isclass(response_format) or not issubclass(response_format, _PydanticBaseModel): + raise TypeError("response_format must be a Pydantic BaseModel type") + + return { + "__response_schema_type__": "pydantic_model", + "module": response_format.__module__, + "qualname": response_format.__qualname__, + } + + +def _deserialize_response_format(response_format: Any) -> type["BaseModel"] | None: + """Deserialize response format back into actionable type if possible.""" + if response_format is None: + return None + + if ( + _PydanticBaseModel is not None + and inspect.isclass(response_format) + and issubclass(response_format, _PydanticBaseModel) + ): + return response_format + + if not isinstance(response_format, dict): + return None + + response_dict = cast(dict[str, Any], response_format) + + if response_dict.get("__response_schema_type__") != "pydantic_model": + return None + + module_name = response_dict.get("module") + qualname = response_dict.get("qualname") + if not module_name or not qualname: + return None + + try: + module = import_module(module_name) + except ImportError: # pragma: no cover - user provided module missing + return None + + attr: Any = module + for part in qualname.split("."): + try: + attr = getattr(attr, part) + except AttributeError: # pragma: no cover - invalid qualname + return None + + if _PydanticBaseModel is not None and inspect.isclass(attr) and issubclass(attr, _PydanticBaseModel): + return attr + + return None + + +@dataclass +class RunRequest: + """Represents a request to run an agent with a specific message and configuration. + + Attributes: + message: The message to send to the agent + role: The role of the message sender (user, system, or assistant) + response_format: Optional Pydantic BaseModel type describing the structured response format + enable_tool_calls: Whether to enable tool calls for this request + conversation_id: Optional conversation/session ID for tracking + correlation_id: Optional correlation ID for tracking the response to this specific request + """ + + message: str + role: ChatRole = ChatRole.USER + response_format: type["BaseModel"] | None = None + enable_tool_calls: bool = True + conversation_id: str | None = None + correlation_id: str | None = None + + def to_dict(self) -> dict[str, Any]: + """Convert to dictionary for JSON serialization.""" + result = { + "message": self.message, + "enable_tool_calls": self.enable_tool_calls, + "role": self.role.value, + } + if self.response_format: + result["response_format"] = _serialize_response_format(self.response_format) + if self.conversation_id: + result["conversation_id"] = self.conversation_id + if self.correlation_id: + result["correlation_id"] = self.correlation_id + return result + + @classmethod + def from_dict(cls, data: dict[str, Any]) -> "RunRequest": + """Create RunRequest from dictionary.""" + role_str = data.get("role") + if role_str: + try: + role = ChatRole(role_str.lower()) + except ValueError: + role = ChatRole.USER # Default to USER if invalid + else: + role = ChatRole.USER + + return cls( + message=data.get("message", ""), + role=role, + response_format=_deserialize_response_format(data.get("response_format")), + enable_tool_calls=data.get("enable_tool_calls", True), + conversation_id=data.get("conversation_id"), + correlation_id=data.get("correlation_id"), + ) + + +@dataclass +class AgentResponse: + """Response from agent execution. + + Attributes: + response: The agent's text response (or None for structured responses) + message: The original message sent to the agent + conversation_id: The conversation/session ID + status: Status of the execution (success, error, etc.) + message_count: Number of messages in the conversation + error: Error message if status is error + error_type: Type of error if status is error + structured_response: Structured response if response_format was provided + """ + + response: str | None + message: str + conversation_id: str | None + status: str + message_count: int = 0 + error: str | None = None + error_type: str | None = None + structured_response: dict[str, Any] | None = None + + def to_dict(self) -> dict[str, Any]: + """Convert to dictionary for JSON serialization.""" + result = { + "message": self.message, + "conversation_id": self.conversation_id, + "status": self.status, + "message_count": self.message_count, + } + + # Add response or structured_response based on what's available + if self.structured_response is not None: + result["structured_response"] = self.structured_response + elif self.response is not None: + result["response"] = self.response + + if self.error: + result["error"] = self.error + if self.error_type: + result["error_type"] = self.error_type + + return result diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py new file mode 100644 index 0000000000..2619789669 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_orchestration.py @@ -0,0 +1,235 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Orchestration Support for Durable Agents. + +This module provides support for using agents inside Durable Function orchestrations. +""" + +import uuid +from collections.abc import AsyncIterator +from typing import TYPE_CHECKING, Any, TypeAlias, cast + +from agent_framework import AgentProtocol, AgentRunResponseUpdate, AgentThread, ChatMessage, get_logger + +from ._models import AgentSessionId, DurableAgentThread, RunRequest + +logger = get_logger("agent_framework.azurefunctions.orchestration") + +if TYPE_CHECKING: + from azure.durable_functions import DurableOrchestrationContext as _DurableOrchestrationContext + + AgentOrchestrationContextType: TypeAlias = _DurableOrchestrationContext +else: + AgentOrchestrationContextType = Any + + +class DurableAIAgent(AgentProtocol): + """A durable agent implementation that uses entity methods to interact with agent entities. + + This class implements AgentProtocol and provides methods to work with Azure Durable Functions + orchestrations, which use generators and yield instead of async/await. + + Key methods: + - get_new_thread(): Create a new conversation thread + - run(): Execute the agent and return a Task for yielding in orchestrations + + Note: The run() method is NOT async. It returns a Task directly that must be + yielded in orchestrations to wait for the entity call to complete. + + Example usage in orchestration: + writer = get_agent(context, "WriterAgent") + thread = writer.get_new_thread() # NOT yielded - returns immediately + + response = yield writer.run( # Yielded - waits for entity call + message="Write a haiku about coding", + thread=thread + ) + """ + + def __init__(self, context: AgentOrchestrationContextType, agent_name: str): + """Initialize the DurableAIAgent. + + Args: + context: The orchestration context + agent_name: Name of the agent (used to construct entity ID) + """ + self.context = context + self.agent_name = agent_name + self._id = str(uuid.uuid4()) + self._name = agent_name + self._display_name = agent_name + self._description = f"Durable agent proxy for {agent_name}" + logger.debug(f"[DurableAIAgent] Initialized for agent: {agent_name}") + + @property + def id(self) -> str: + """Get the unique identifier for this agent.""" + return self._id + + @property + def name(self) -> str | None: + """Get the name of the agent.""" + return self._name + + @property + def display_name(self) -> str: + """Get the display name of the agent.""" + return self._display_name + + @property + def description(self) -> str | None: + """Get the description of the agent.""" + return self._description + + def run( + self, + messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None, + *, + thread: AgentThread | None = None, + **kwargs: Any, + ) -> Any: # TODO(msft-team): Add a wrapper to respond correctly with `AgentRunResponse` + """Execute the agent with messages and return a Task for orchestrations. + + This method implements AgentProtocol and returns a Task that can be yielded + in Durable Functions orchestrations. + + Args: + messages: The message(s) to send to the agent + thread: Optional agent thread for conversation context + **kwargs: Additional arguments (enable_tool_calls, response_format, etc.) + + Returns: + Task that will resolve to the agent response + + Example: + @app.orchestration_trigger(context_name="context") + def my_orchestration(context): + agent = get_agent(context, "MyAgent") + thread = agent.get_new_thread() + result = yield agent.run("Hello", thread=thread) + """ + message_str = self._normalize_messages(messages) + + # Extract optional parameters from kwargs + enable_tool_calls = kwargs.get("enable_tool_calls", True) + response_format = kwargs.get("response_format") + + # Get the session ID for the entity + if isinstance(thread, DurableAgentThread) and thread.session_id is not None: + session_id = thread.session_id + else: + # Create a unique session ID for each call when no thread is provided + # This ensures each call gets its own conversation context + session_key = str(self.context.new_uuid()) + session_id = AgentSessionId(name=self.agent_name, key=session_key) + logger.warning(f"[DurableAIAgent] No thread provided, created unique session_id: {session_id}") + + # Create entity ID from session ID + entity_id = session_id.to_entity_id() + + # Generate a deterministic correlation ID for this call + # This is required by the entity and must be unique per call + correlation_id = str(self.context.new_uuid()) + + # Prepare the request using RunRequest model + run_request = RunRequest( + message=message_str, + enable_tool_calls=enable_tool_calls, + correlation_id=correlation_id, + conversation_id=session_id.key, + response_format=response_format, + ) + + logger.debug(f"[DurableAIAgent] Calling entity {entity_id} with message: {message_str[:100]}...") + + # Call the entity and return the Task directly + # The orchestration will yield this Task + return self.context.call_entity(entity_id, "run_agent", run_request.to_dict()) + + def run_stream( + self, + messages: str | ChatMessage | list[str] | list[ChatMessage] | None = None, + *, + thread: AgentThread | None = None, + **kwargs: Any, + ) -> AsyncIterator[AgentRunResponseUpdate]: + """Run the agent with streaming (not supported for durable agents). + + Raises: + NotImplementedError: Streaming is not supported for durable agents. + """ + raise NotImplementedError("Streaming is not supported for durable agents in orchestrations.") + + def get_new_thread(self, **kwargs: Any) -> AgentThread: + """Create a new agent thread for this orchestration instance. + + Each call creates a unique thread with its own conversation context. + The session ID is deterministic (uses context.new_uuid()) to ensure + orchestration replay works correctly. + + Returns: + A new AgentThread instance with a unique session ID + """ + # Generate a deterministic unique key for this thread + # Using context.new_uuid() ensures the same GUID is generated during replay + session_key = str(self.context.new_uuid()) + + # Create AgentSessionId with agent name and session key + session_id = AgentSessionId(name=self.agent_name, key=session_key) + + thread = DurableAgentThread.from_session_id(session_id, **kwargs) + + logger.debug(f"[DurableAIAgent] Created new thread with session_id: {session_id}") + return thread + + def _messages_to_string(self, messages: list[ChatMessage]) -> str: + """Convert a list of ChatMessage objects to a single string. + + Args: + messages: List of ChatMessage objects + + Returns: + Concatenated string of message contents + """ + return "\n".join([msg.text or "" for msg in messages]) + + def _normalize_messages(self, messages: str | ChatMessage | list[str] | list[ChatMessage] | None) -> str: + """Convert supported message inputs to a single string.""" + if messages is None: + return "" + if isinstance(messages, str): + return messages + if isinstance(messages, ChatMessage): + return messages.text or "" + if isinstance(messages, list): + if not messages: + return "" + first_item = messages[0] + if isinstance(first_item, str): + return "\n".join(cast(list[str], messages)) + return self._messages_to_string(cast(list[ChatMessage], messages)) + return str(messages) + + +def get_agent(context: AgentOrchestrationContextType, agent_name: str) -> DurableAIAgent: + """Return a :class:`DurableAIAgent` proxy scoped to ``agent_name``. + + Usage:: + + from agent_framework.azurefunctions import get_agent + + + @app.orchestration_trigger(context_name="context") + def my_orchestration(context: DurableOrchestrationContext): + writer = get_agent(context, "WriterAgent") + thread = writer.get_new_thread() + response = yield writer.run("Write a haiku", thread=thread) + + Args: + context: The orchestration context provided by Durable Functions. + agent_name: Name of the durable agent entity to call. + + Returns: + DurableAIAgent wrapper for the specified agent. + """ + return DurableAIAgent(context, agent_name) diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_state.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_state.py new file mode 100644 index 0000000000..c15d9fe96d --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_state.py @@ -0,0 +1,179 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Agent State Management. + +This module defines the AgentState class for managing conversation state and +serializing agent framework responses. +""" + +from collections.abc import MutableMapping +from datetime import datetime, timezone +from typing import Any, Literal, cast + +from agent_framework import AgentRunResponse, ChatMessage, get_logger + +logger = get_logger("agent_framework.azurefunctions.state") + + +class AgentState: + """Manages agent conversation state using agent_framework types (ChatMessage, AgentRunResponse). + + This class handles: + - Conversation history tracking using ChatMessage objects + - Agent response storage using AgentRunResponse objects with correlation IDs + - State persistence and restoration + - Message counting + """ + + def __init__(self): + """Initialize empty agent state.""" + self.conversation_history: list[ChatMessage] = [] + self.last_response: str | None = None + self.message_count: int = 0 + + def _current_timestamp(self) -> str: + """Return an ISO 8601 UTC timestamp.""" + return datetime.now(timezone.utc).isoformat() + + def add_user_message( + self, + content: str, + role: Literal["user", "system", "assistant", "tool"] = "user", + correlation_id: str | None = None, + ) -> None: + """Add a user message to the conversation history as a ChatMessage object. + + Args: + content: The message content + role: The message role (user, system, etc.) + correlation_id: Optional correlation identifier associated with the user message + """ + self.message_count += 1 + timestamp = self._current_timestamp() + additional_props: MutableMapping[str, Any] = {"timestamp": timestamp} + if correlation_id is not None: + additional_props["correlation_id"] = correlation_id + chat_message = ChatMessage(role=role, text=content, additional_properties=additional_props) + self.conversation_history.append(chat_message) + logger.debug(f"Added {role} ChatMessage to history (message #{self.message_count})") + + def add_assistant_message( + self, content: str, agent_response: AgentRunResponse, correlation_id: str | None = None + ) -> None: + """Add an assistant message to the conversation history with full agent response. + + Args: + content: The text content of the response + agent_response: The AgentRunResponse object from the agent framework + correlation_id: Optional correlation ID for tracking this response + """ + self.last_response = content + timestamp = self._current_timestamp() + serialized_response = self.serialize_response(agent_response) + + # Create a ChatMessage for the assistant response + # The agent_response already contains messages, but we store it as a custom ChatMessage + # with the agent_response stored in additional_properties for full metadata preservation + additional_props: dict[str, Any] = { + "agent_response": serialized_response, + "correlation_id": correlation_id, + "timestamp": timestamp, + "message_count": self.message_count, + } + chat_message = ChatMessage(role="assistant", text=content, additional_properties=additional_props) + + self.conversation_history.append(chat_message) + + logger.debug( + f"Added assistant ChatMessage to history with AgentRunResponse metadata (correlation_id: {correlation_id})" + ) + + def get_chat_messages(self) -> list[ChatMessage]: + """Return a copy of the full conversation history.""" + return list(self.conversation_history) + + def try_get_agent_response(self, correlation_id: str) -> dict[str, Any] | None: + """Get an agent response by correlation ID. + + Args: + correlation_id: The correlation ID to look up + + Returns: + The agent response data if found, None otherwise + """ + for message in reversed(self.conversation_history): + metadata = getattr(message, "additional_properties", {}) or {} + if metadata.get("correlation_id") == correlation_id: + return self._build_agent_response_payload(message, metadata) + + return None + + def serialize_response(self, response: AgentRunResponse) -> dict[str, Any]: + """Serialize an ``AgentRunResponse`` to a dictionary. + + Args: + response: The agent framework response object + + Returns: + Dictionary containing all response fields + """ + try: + return response.to_dict() + except Exception as exc: # pragma: no cover - defensive logging path + logger.warning(f"Error serializing response: {exc}") + return {"response": str(response), "serialization_error": str(exc)} + + def to_dict(self) -> dict[str, Any]: + """Get the current state as a dictionary for persistence. + + Returns: + Dictionary containing conversation_history (as serialized ChatMessages), + last_response, and message_count + """ + return { + "conversation_history": [msg.to_dict() for msg in self.conversation_history], + "last_response": self.last_response, + "message_count": self.message_count, + } + + def restore_state(self, state: dict[str, Any]) -> None: + """Restore state from a dictionary, reconstructing ChatMessage objects. + + Args: + state: Dictionary containing conversation_history, last_response, and message_count + """ + # Restore conversation history as ChatMessage objects + history_data = state.get("conversation_history", []) + restored_history: list[ChatMessage] = [] + for raw_message in history_data: + if isinstance(raw_message, dict): + restored_history.append(ChatMessage.from_dict(cast(dict[str, Any], raw_message))) + else: + restored_history.append(cast(ChatMessage, raw_message)) + + self.conversation_history = restored_history + + self.last_response = state.get("last_response") + self.message_count = state.get("message_count", 0) + logger.debug("Restored state: %s ChatMessages in history", len(self.conversation_history)) + + def reset(self) -> None: + """Reset the state to empty.""" + self.conversation_history = [] + self.last_response = None + self.message_count = 0 + logger.debug("State reset to empty") + + def __repr__(self) -> str: + """String representation of the state.""" + return f"AgentState(messages={self.message_count}, history_length={len(self.conversation_history)})" + + def _build_agent_response_payload(self, message: ChatMessage, metadata: dict[str, Any]) -> dict[str, Any]: + """Construct the agent response payload returned to callers.""" + return { + "content": message.text, + "agent_response": metadata.get("agent_response"), + "message_count": metadata.get("message_count", self.message_count), + "timestamp": metadata.get("timestamp"), + "correlation_id": metadata.get("correlation_id"), + } diff --git a/python/packages/core/agent_framework/azurefunctions/__init__.py b/python/packages/core/agent_framework/azurefunctions/__init__.py new file mode 100644 index 0000000000..b823f40be5 --- /dev/null +++ b/python/packages/core/agent_framework/azurefunctions/__init__.py @@ -0,0 +1,29 @@ +# Copyright (c) Microsoft. All rights reserved. + +import importlib +from typing import Any + +PACKAGE_NAME = "agent_framework_azurefunctions" +PACKAGE_EXTRA = "azurefunctions" +_IMPORTS = [ + "AgentFunctionApp", + "DurableAIAgent", + "get_agent", + "AgentCallbackContext", + "AgentResponseCallbackProtocol", +] + + +def __getattr__(name: str) -> Any: + if name in _IMPORTS: + try: + return getattr(importlib.import_module(PACKAGE_NAME), name) + except ModuleNotFoundError as exc: + raise ModuleNotFoundError( + f"The '{PACKAGE_EXTRA}' extra is not installed, please do `pip install agent-framework-{PACKAGE_EXTRA}`" + ) from exc + raise AttributeError(f"Module {PACKAGE_NAME} has no attribute {name}.") + + +def __dir__() -> list[str]: + return _IMPORTS diff --git a/python/pyproject.toml b/python/pyproject.toml index 5b7d8fee8d..a0f596c521 100644 --- a/python/pyproject.toml +++ b/python/pyproject.toml @@ -26,6 +26,7 @@ dependencies = [ "agent-framework-a2a", "agent-framework-anthropic", "agent-framework-azure-ai", + "agent-framework-azurefunctions", "agent-framework-copilotstudio", "agent-framework-devui", "agent-framework-lab", @@ -89,6 +90,7 @@ agent-framework = { workspace = true } agent-framework-core = { workspace = true } agent-framework-a2a = { workspace = true } agent-framework-azure-ai = { workspace = true } +agent-framework-azurefunctions = { workspace = true } agent-framework-copilotstudio = { workspace = true } agent-framework-lab = { workspace = true } agent-framework-mem0 = { workspace = true } @@ -240,6 +242,7 @@ pytest --import-mode=importlib --cov=agent_framework --cov=agent_framework_a2a --cov=agent_framework_azure_ai +--cov=agent_framework_azurefunctions --cov=agent_framework_copilotstudio --cov=agent_framework_mem0 --cov=agent_framework_redis diff --git a/python/samples/getting_started/azure_functions/01_single_agent/README.md b/python/samples/getting_started/azure_functions/01_single_agent/README.md new file mode 100644 index 0000000000..cb4b055c5d --- /dev/null +++ b/python/samples/getting_started/azure_functions/01_single_agent/README.md @@ -0,0 +1,49 @@ +# Single Agent Sample (Python) + +This sample demonstrates how to use the Durable Extension for Agent Framework to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations. + +## Key Concepts Demonstrated + +- Defining a simple agent with the Microsoft Agent Framework and wiring it into + an Azure Functions app via the Durable Extension for Agent Framework. +- Calling the agent through generated HTTP endpoints (`/api/agents/Joker/run`). +- Managing conversation state with session identifiers, so multiple clients can + interact with the agent concurrently without sharing context. + +## Environment Setup + +### 1. Create and activate a virtual environment + +**Windows (PowerShell):** +```powershell +python -m venv .venv +.venv\Scripts\Activate.ps1 +``` + +**Linux/macOS:** +```bash +python -m venv .venv +source .venv/bin/activate +``` + +### 2. Install dependencies + +- Azure Functions Core Tools 4.x – install from the official docs so you can run `func start` locally. +- Azurite storage emulator – the sample uses `AzureWebJobsStorage=UseDevelopmentStorage=true`; start Azurite before launching the app. +- Durable Task local backend – `DURABLE_TASK_SCHEDULER_CONNECTION_STRING` expects the Durable Task scheduler listening on `http://localhost:8080` (start the Durable Functions emulator if it is not already running). +- Python dependencies – from this folder, run `pip install -r requirements.txt` (or the equivalent in your active virtual environment). +- Environment variables – update `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` in `local.settings.json` with your Azure OpenAI resource details; keep the other values as provided unless you are using custom infrastructure. + +## Running the Sample + +With the environment configured and the Functions host running, you can interact +with the Joker agent using the provided `demo.http` file or any HTTP client. For +example: + +```bash +curl -X POST http://localhost:7071/api/agents/Joker/run \ + -H "Content-Type: text/plain" \ + -d "Tell me a short joke about cloud computing." +``` + +The agent responds with a JSON payload that includes the generated joke. diff --git a/python/samples/getting_started/azure_functions/01_single_agent/demo.http b/python/samples/getting_started/azure_functions/01_single_agent/demo.http new file mode 100644 index 0000000000..cc93ee79b5 --- /dev/null +++ b/python/samples/getting_started/azure_functions/01_single_agent/demo.http @@ -0,0 +1,26 @@ +### Joker Agent Sample Interactions +@baseUrl = http://localhost:7071 +@agentName = Joker +@agentRoute = {{baseUrl}}/api/agents/{{agentName}} +@healthRoute = {{baseUrl}}/api/health + +### Health Check +GET {{healthRoute}} + +### Ask for a joke (JSON payload) +POST {{agentRoute}}/run +Content-Type: application/json + +{ + "message": "Add a security element to it.", + "sessionId": "session-003", + "waitForCompletion": true +} + +### Ask for a joke (plain text payload) +POST {{agentRoute}}/run + +Give me a programming joke about race conditions. + +### Retrieve conversation state +GET {{agentRoute}}/session-001 \ No newline at end of file diff --git a/python/samples/getting_started/azure_functions/01_single_agent/function_app.py b/python/samples/getting_started/azure_functions/01_single_agent/function_app.py new file mode 100644 index 0000000000..f317459321 --- /dev/null +++ b/python/samples/getting_started/azure_functions/01_single_agent/function_app.py @@ -0,0 +1,61 @@ +"""Azure Functions single-agent sample showcasing how to host a single Azure OpenAI agent. + +The sample reads the required endpoint and deployment environment variables, configures the Azure OpenAI chat client (using either an API key or Azure CLI credentials), and registers a joke-telling agent with an Azure Functions app that can optionally expose a health check. + +Summary: Demonstrates configuring and deploying a single 'Joker' agent via Azure Functions.""" + +import logging +import os +from typing import Any + +from azure.identity import AzureCliCredential +from agent_framework.azure import AzureOpenAIChatClient +from agent_framework.azurefunctions import AgentFunctionApp + + +logger = logging.getLogger(__name__) + + +AZURE_OPENAI_ENDPOINT_ENV = "AZURE_OPENAI_ENDPOINT" +AZURE_OPENAI_DEPLOYMENT_ENV = "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" +AZURE_OPENAI_API_KEY_ENV = "AZURE_OPENAI_API_KEY" + + +def _build_client_kwargs() -> dict[str, Any]: + """Construct Azure OpenAI client options.""" + + endpoint = os.getenv(AZURE_OPENAI_ENDPOINT_ENV) + if not endpoint: + raise RuntimeError(f"{AZURE_OPENAI_ENDPOINT_ENV} environment variable is required.") + + deployment = os.getenv(AZURE_OPENAI_DEPLOYMENT_ENV) + if not deployment: + raise RuntimeError(f"{AZURE_OPENAI_DEPLOYMENT_ENV} environment variable is required.") + + logger.info("[SingleAgent] Using deployment '%s' at '%s'", deployment, endpoint) + + client_kwargs: dict[str, Any] = { + "endpoint": endpoint, + "deployment_name": deployment, + } + + api_key = os.getenv(AZURE_OPENAI_API_KEY_ENV) + if api_key: + client_kwargs["api_key"] = api_key + else: + client_kwargs["credential"] = AzureCliCredential() + + return client_kwargs + + +def _create_agent() -> Any: + """Create the Joker agent.""" + + client_kwargs = _build_client_kwargs() + return AzureOpenAIChatClient(**client_kwargs).create_agent( + name="Joker", + instructions="You are good at telling jokes.", + ) + + +app = AgentFunctionApp(agents=[_create_agent()], enable_health_check=True) diff --git a/python/samples/getting_started/azure_functions/01_single_agent/host.json b/python/samples/getting_started/azure_functions/01_single_agent/host.json new file mode 100644 index 0000000000..b7e5ad1c0b --- /dev/null +++ b/python/samples/getting_started/azure_functions/01_single_agent/host.json @@ -0,0 +1,7 @@ +{ + "version": "2.0", + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle", + "version": "[4.*, 5.0.0)" + } +} diff --git a/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json b/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/01_single_agent/requirements.txt b/python/samples/getting_started/azure_functions/01_single_agent/requirements.txt new file mode 100644 index 0000000000..8aa2c75d80 --- /dev/null +++ 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.../03_AgentOrchestration_Concurrency.csproj | 42 ++++ .../FunctionTriggers.cs | 116 +++++++++ .../Program.cs | 44 ++++ .../README.md | 65 +++++ .../demo.http | 5 + .../host.json | 20 ++ .../local.settings.json | 10 + .../04_AgentOrchestration_Conditionals.csproj | 42 ++++ .../FunctionTriggers.cs | 143 +++++++++++ .../Models.cs | 38 +++ .../Program.cs | 47 ++++ .../README.md | 113 +++++++++ .../demo.http | 18 ++ .../host.json | 20 ++ .../local.settings.json | 10 + .../05_AgentOrchestration_HITL.csproj | 43 ++++ .../FunctionTriggers.cs | 229 ++++++++++++++++++ .../05_AgentOrchestration_HITL/Models.cs | 44 ++++ .../05_AgentOrchestration_HITL/Program.cs | 40 +++ .../05_AgentOrchestration_HITL/README.md | 126 ++++++++++ .../05_AgentOrchestration_HITL/demo.http | 44 ++++ .../05_AgentOrchestration_HITL/host.json | 20 ++ .../local.settings.json | 10 + .../06_LongRunningTools.csproj | 42 ++++ .../06_LongRunningTools/FunctionTriggers.cs | 151 ++++++++++++ .../06_LongRunningTools/Models.cs | 44 ++++ .../06_LongRunningTools/Program.cs | 73 ++++++ .../06_LongRunningTools/README.md | 129 ++++++++++ .../06_LongRunningTools/Tools.cs | 84 +++++++ .../06_LongRunningTools/demo.http | 27 +++ .../06_LongRunningTools/host.json | 20 ++ .../06_LongRunningTools/local.settings.json | 10 + dotnet/samples/AzureFunctions/README.md | 150 ++++++++++++ 48 files changed, 2464 insertions(+) create mode 100644 dotnet/samples/AzureFunctions/.editorconfig create mode 100644 dotnet/samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj create mode 100644 dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs create mode 100644 dotnet/samples/AzureFunctions/01_SingleAgent/README.md create mode 100644 dotnet/samples/AzureFunctions/01_SingleAgent/demo.http create mode 100644 dotnet/samples/AzureFunctions/01_SingleAgent/host.json create mode 100644 dotnet/samples/AzureFunctions/01_SingleAgent/local.settings.json create mode 100644 dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj create mode 100644 dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/FunctionTriggers.cs create mode 100644 dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs create mode 100644 dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/README.md create mode 100644 dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/demo.http create mode 100644 dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/host.json create mode 100644 dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/local.settings.json create mode 100644 dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj create mode 100644 dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/FunctionTriggers.cs create mode 100644 dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs create mode 100644 dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/README.md create mode 100644 dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/demo.http create mode 100644 dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/host.json create mode 100644 dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/local.settings.json create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/FunctionTriggers.cs create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Models.cs create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/README.md create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/demo.http create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/host.json create mode 100644 dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/local.settings.json create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/FunctionTriggers.cs create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Models.cs create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/README.md create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/demo.http create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/host.json create mode 100644 dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/local.settings.json create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/FunctionTriggers.cs create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/Models.cs create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/README.md create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/Tools.cs create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/demo.http create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/host.json create mode 100644 dotnet/samples/AzureFunctions/06_LongRunningTools/local.settings.json create mode 100644 dotnet/samples/AzureFunctions/README.md diff --git a/dotnet/agent-framework-dotnet.slnx b/dotnet/agent-framework-dotnet.slnx index aee9bdb1f6..80660c78b3 100644 --- a/dotnet/agent-framework-dotnet.slnx +++ b/dotnet/agent-framework-dotnet.slnx @@ -18,6 +18,16 @@ + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/.editorconfig b/dotnet/samples/AzureFunctions/.editorconfig new file mode 100644 index 0000000000..b43bf5ebd0 --- /dev/null +++ b/dotnet/samples/AzureFunctions/.editorconfig @@ -0,0 +1,10 @@ +# .editorconfig +[*.cs] + +# See https://github.com/Azure/azure-functions-durable-extension/issues/3173 +dotnet_diagnostic.DURABLE0001.severity = none +dotnet_diagnostic.DURABLE0002.severity = none +dotnet_diagnostic.DURABLE0003.severity = none +dotnet_diagnostic.DURABLE0004.severity = none +dotnet_diagnostic.DURABLE0005.severity = none +dotnet_diagnostic.DURABLE0006.severity = none diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj b/dotnet/samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj new file mode 100644 index 0000000000..bce1b96f7b --- /dev/null +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/01_SingleAgent.csproj @@ -0,0 +1,42 @@ + + + net9.0 + v4 + Exe + enable + enable + + SingleAgent + SingleAgent + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs b/dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs new file mode 100644 index 0000000000..ebb5082893 --- /dev/null +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs @@ -0,0 +1,37 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.Hosting.AzureFunctions; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Extensions.Hosting; +using OpenAI; + +// Get the Azure OpenAI endpoint and deployment name from environment variables. +string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); + +// Use Azure Key Credential if provided, otherwise use Azure CLI Credential. +string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); + +// Set up an AI agent following the standard Microsoft Agent Framework pattern. +const string JokerName = "Joker"; +const string JokerInstructions = "You are good at telling jokes."; + +AIAgent agent = client.GetChatClient(deploymentName).CreateAIAgent(JokerInstructions, JokerName); + +// Configure the function app to host the AI agent. +// This will automatically generate HTTP API endpoints for the agent. +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => options.AddAIAgent(agent)) + .Build(); +app.Run(); diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/README.md b/dotnet/samples/AzureFunctions/01_SingleAgent/README.md new file mode 100644 index 0000000000..b0fea90795 --- /dev/null +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/README.md @@ -0,0 +1,42 @@ +# Single Agent Sample + +This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that hosts a single AI agent and provides direct HTTP API access for interactive conversations. + +## Key Concepts Demonstrated + +- Using the Microsoft Agent Framework to define a simple AI agent with a name and instructions. +- Registering agents with the Function app and running them using HTTP. +- Conversation management (via session IDs) for isolated interactions. + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +## Running the Sample + +With the environment setup and function app running, you can test the sample by sending an HTTP request to the agent endpoint. + +You can use the `demo.http` file to send a message to the agent, or a command line tool like `curl` as shown below: + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/agents/Joker/run \ + -H "Content-Type: text/plain" \ + -d "Tell me a joke about a pirate." +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/Joker/run ` + -ContentType text/plain ` + -Body "Tell me a joke about a pirate." +``` + +The response from the agent will be displayed in the terminal where you ran `func start`. The expected output will look something like: + +```text +Why don't pirates ever learn the alphabet? Because they always get stuck at "C"! +``` diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/demo.http b/dotnet/samples/AzureFunctions/01_SingleAgent/demo.http new file mode 100644 index 0000000000..3b741adf31 --- /dev/null +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/demo.http @@ -0,0 +1,8 @@ +# Default endpoint address for local testing +@authority=http://localhost:7071 + +### Prompt the agent +POST {{authority}}/api/agents/Joker/run +Content-Type: text/plain + +Tell me a joke about a pirate. diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/host.json b/dotnet/samples/AzureFunctions/01_SingleAgent/host.json new file mode 100644 index 0000000000..9bef705c04 --- /dev/null +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/host.json @@ -0,0 +1,20 @@ +{ + "version": "2.0", + "logging": { + "logLevel": { + "Microsoft.Agents.AI.DurableTask": "Information", + "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information", + "DurableTask": "Information", + "Microsoft.DurableTask": "Information" + } + }, + "extensions": { + "durableTask": { + "hubName": "default", + "storageProvider": { + "type": "AzureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} \ No newline at end of file diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/local.settings.json b/dotnet/samples/AzureFunctions/01_SingleAgent/local.settings.json new file mode 100644 index 0000000000..3411463ac4 --- /dev/null +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_DEPLOYMENT": "" + } +} \ No newline at end of file diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj new file mode 100644 index 0000000000..4ec460450a --- /dev/null +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/02_AgentOrchestration_Chaining.csproj @@ -0,0 +1,42 @@ + + + net9.0 + v4 + Exe + enable + enable + + AgentOrchestration_Chaining + AgentOrchestration_Chaining + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/FunctionTriggers.cs b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/FunctionTriggers.cs new file mode 100644 index 0000000000..a631e7715c --- /dev/null +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/FunctionTriggers.cs @@ -0,0 +1,92 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Net; +using System.Text.Json; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Http; +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; + +namespace AgentOrchestration_Chaining; + +public static class FunctionTriggers +{ + public sealed record TextResponse(string Text); + + [Function(nameof(RunOrchestrationAsync))] + public static async Task RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context) + { + DurableAIAgent writer = context.GetAgent("WriterAgent"); + AgentThread writerThread = writer.GetNewThread(); + + AgentRunResponse initial = await writer.RunAsync( + message: "Write a concise inspirational sentence about learning.", + thread: writerThread); + + AgentRunResponse refined = await writer.RunAsync( + message: $"Improve this further while keeping it under 25 words: {initial.Result.Text}", + thread: writerThread); + + return refined.Result.Text; + } + + // POST /singleagent/run + [Function(nameof(StartOrchestrationAsync))] + public static async Task StartOrchestrationAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "singleagent/run")] HttpRequestData req, + [DurableClient] DurableTaskClient client) + { + string instanceId = await client.ScheduleNewOrchestrationInstanceAsync( + orchestratorName: nameof(RunOrchestrationAsync)); + + HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted); + await response.WriteAsJsonAsync(new + { + message = "Single-agent orchestration started.", + instanceId, + statusQueryGetUri = GetStatusQueryGetUri(req, instanceId), + }); + return response; + } + + // GET /singleagent/status/{instanceId} + [Function(nameof(GetOrchestrationStatusAsync))] + public static async Task GetOrchestrationStatusAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "singleagent/status/{instanceId}")] HttpRequestData req, + string instanceId, + [DurableClient] DurableTaskClient client) + { + OrchestrationMetadata? status = await client.GetInstanceAsync( + instanceId, + getInputsAndOutputs: true, + req.FunctionContext.CancellationToken); + + if (status is null) + { + HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound); + await notFound.WriteAsJsonAsync(new { error = "Instance not found" }); + return notFound; + } + + HttpResponseData response = req.CreateResponse(HttpStatusCode.OK); + await response.WriteAsJsonAsync(new + { + instanceId = status.InstanceId, + runtimeStatus = status.RuntimeStatus.ToString(), + input = status.SerializedInput is not null ? (object)status.ReadInputAs() : null, + output = status.SerializedOutput is not null ? (object)status.ReadOutputAs() : null, + failureDetails = status.FailureDetails + }); + return response; + } + + private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId) + { + // NOTE: This can be made more robust by considering the value of + // request headers like "X-Forwarded-Host" and "X-Forwarded-Proto". + string authority = $"{req.Url.Scheme}://{req.Url.Authority}"; + return $"{authority}/api/singleagent/status/{instanceId}"; + } +} diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs new file mode 100644 index 0000000000..14abd390c9 --- /dev/null +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs @@ -0,0 +1,40 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.Hosting.AzureFunctions; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Extensions.Hosting; +using OpenAI; + +// Get the Azure OpenAI endpoint and deployment name from environment variables. +string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); + +// Use Azure Key Credential if provided, otherwise use Azure CLI Credential. +string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); + +// Single agent used by the orchestration to demonstrate sequential calls on the same thread. +const string WriterName = "WriterAgent"; +const string WriterInstructions = + """ + You refine short pieces of text. When given an initial sentence you enhance it; + when given an improved sentence you polish it further. + """; + +AIAgent writerAgent = client.GetChatClient(deploymentName).CreateAIAgent(WriterInstructions, WriterName); + +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => options.AddAIAgent(writerAgent)) + .Build(); + +app.Run(); diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/README.md b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/README.md new file mode 100644 index 0000000000..e98885eced --- /dev/null +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/README.md @@ -0,0 +1,59 @@ +# Single Agent Orchestration Sample + +This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a simple Azure Functions app that orchestrates sequential calls to a single AI agent using the same conversation thread for context continuity. + +## Key Concepts Demonstrated + +- Orchestrating multiple interactions with the same agent in a deterministic order +- Using the same `AgentThread` across multiple calls to maintain conversational context +- Durable orchestration with automatic checkpointing and resumption from failures +- HTTP API integration for starting and monitoring orchestrations + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +## Running the Sample + +With the environment setup and function app running, you can test the sample by sending an HTTP request to start the orchestration. + +You can use the `demo.http` file to start the orchestration, or a command line tool like `curl` as shown below: + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/singleagent/run +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post -Uri http://localhost:7071/api/singleagent/run +``` + +The response will be a JSON object that looks something like the following, which indicates that the orchestration has started. + +```json +{ + "message": "Single-agent orchestration started.", + "instanceId": "86313f1d45fb42eeb50b1852626bf3ff", + "statusQueryGetUri": "http://localhost:7071/api/singleagent/status/86313f1d45fb42eeb50b1852626bf3ff" +} +``` + +The orchestration will proceed to run the WriterAgent twice in sequence: + +1. First, it writes an inspirational sentence about learning +2. Then, it refines the initial output using the same conversation thread + +Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following: + +```json +{ + "failureDetails": null, + "input": null, + "instanceId": "86313f1d45fb42eeb50b1852626bf3ff", + "output": "Learning serves as the key, opening doors to boundless opportunities and a brighter future.", + "runtimeStatus": "Completed" +} +``` diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/demo.http b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/demo.http new file mode 100644 index 0000000000..aa4dcc4a16 --- /dev/null +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/demo.http @@ -0,0 +1,3 @@ +### Start the single-agent orchestration +POST http://localhost:7071/api/singleagent/run + diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/host.json b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/host.json new file mode 100644 index 0000000000..9384a0a583 --- /dev/null +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/host.json @@ -0,0 +1,20 @@ +{ + "version": "2.0", + "logging": { + "logLevel": { + "Microsoft.Agents.AI.DurableTask": "Information", + "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information", + "DurableTask": "Information", + "Microsoft.DurableTask": "Information" + } + }, + "extensions": { + "durableTask": { + "hubName": "default", + "storageProvider": { + "type": "AzureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/local.settings.json b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/local.settings.json new file mode 100644 index 0000000000..54dfbb5664 --- /dev/null +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_DEPLOYMENT": "" + } +} diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj new file mode 100644 index 0000000000..8698b0a7b8 --- /dev/null +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/03_AgentOrchestration_Concurrency.csproj @@ -0,0 +1,42 @@ + + + net9.0 + v4 + Exe + enable + enable + + AgentOrchestration_Concurrency + AgentOrchestration_Concurrency + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/FunctionTriggers.cs b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/FunctionTriggers.cs new file mode 100644 index 0000000000..2d15dd585c --- /dev/null +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/FunctionTriggers.cs @@ -0,0 +1,116 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Net; +using System.Text.Json; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Http; +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; + +namespace AgentOrchestration_Concurrency; + +public static class FunctionsTriggers +{ + public sealed record TextResponse(string Text); + + [Function(nameof(RunOrchestrationAsync))] + public static async Task RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context) + { + // Get the prompt from the orchestration input + string prompt = context.GetInput() ?? throw new InvalidOperationException("Prompt is required"); + + // Get both agents + DurableAIAgent physicist = context.GetAgent("PhysicistAgent"); + DurableAIAgent chemist = context.GetAgent("ChemistAgent"); + + // Start both agent runs concurrently + Task> physicistTask = physicist.RunAsync(prompt); + + Task> chemistTask = chemist.RunAsync(prompt); + + // Wait for both tasks to complete using Task.WhenAll + await Task.WhenAll(physicistTask, chemistTask); + + // Get the results + TextResponse physicistResponse = (await physicistTask).Result; + TextResponse chemistResponse = (await chemistTask).Result; + + // Return the result as a structured, anonymous type + return new + { + physicist = physicistResponse.Text, + chemist = chemistResponse.Text, + }; + } + + // POST /multiagent/run + [Function(nameof(StartOrchestrationAsync))] + public static async Task StartOrchestrationAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "multiagent/run")] HttpRequestData req, + [DurableClient] DurableTaskClient client) + { + // Read the prompt from the request body + string? prompt = await req.ReadAsStringAsync(); + if (string.IsNullOrWhiteSpace(prompt)) + { + HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest); + await badRequestResponse.WriteAsJsonAsync(new { error = "Prompt is required" }); + return badRequestResponse; + } + + string instanceId = await client.ScheduleNewOrchestrationInstanceAsync( + orchestratorName: nameof(RunOrchestrationAsync), + input: prompt); + + HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted); + await response.WriteAsJsonAsync(new + { + message = "Multi-agent concurrent orchestration started.", + prompt, + instanceId, + statusQueryGetUri = GetStatusQueryGetUri(req, instanceId), + }); + return response; + } + + // GET /multiagent/status/{instanceId} + [Function(nameof(GetOrchestrationStatusAsync))] + public static async Task GetOrchestrationStatusAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "multiagent/status/{instanceId}")] HttpRequestData req, + string instanceId, + [DurableClient] DurableTaskClient client) + { + OrchestrationMetadata? status = await client.GetInstanceAsync( + instanceId, + getInputsAndOutputs: true, + req.FunctionContext.CancellationToken); + + if (status is null) + { + HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound); + await notFound.WriteAsJsonAsync(new { error = "Instance not found" }); + return notFound; + } + + HttpResponseData response = req.CreateResponse(HttpStatusCode.OK); + await response.WriteAsJsonAsync(new + { + instanceId = status.InstanceId, + runtimeStatus = status.RuntimeStatus.ToString(), + input = status.SerializedInput is not null ? (object)status.ReadInputAs() : null, + output = status.SerializedOutput is not null ? (object)status.ReadOutputAs() : null, + failureDetails = status.FailureDetails + }); + return response; + } + + private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId) + { + // NOTE: This can be made more robust by considering the value of + // request headers like "X-Forwarded-Host" and "X-Forwarded-Proto". + string authority = $"{req.Url.Scheme}://{req.Url.Authority}"; + return $"{authority}/api/multiagent/status/{instanceId}"; + } +} diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs new file mode 100644 index 0000000000..e1bd92d3e4 --- /dev/null +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs @@ -0,0 +1,44 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.Hosting.AzureFunctions; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Extensions.Hosting; +using OpenAI; + +// Get the Azure OpenAI endpoint and deployment name from environment variables. +string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); + +// Use Azure Key Credential if provided, otherwise use Azure CLI Credential. +string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); + +// Two agents used by the orchestration to demonstrate concurrent execution. +const string PhysicistName = "PhysicistAgent"; +const string PhysicistInstructions = "You are an expert in physics. You answer questions from a physics perspective."; + +const string ChemistName = "ChemistAgent"; +const string ChemistInstructions = "You are an expert in chemistry. You answer questions from a chemistry perspective."; + +AIAgent physicistAgent = client.GetChatClient(deploymentName).CreateAIAgent(PhysicistInstructions, PhysicistName); +AIAgent chemistAgent = client.GetChatClient(deploymentName).CreateAIAgent(ChemistInstructions, ChemistName); + +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => + { + options.AddAIAgent(physicistAgent); + options.AddAIAgent(chemistAgent); + }) + .Build(); + +app.Run(); diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/README.md b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/README.md new file mode 100644 index 0000000000..974aa1f2d2 --- /dev/null +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/README.md @@ -0,0 +1,65 @@ +# Multi-Agent Concurrent Orchestration Sample + +This sample demonstrates how to use the Durable Agent Framework (DAFx) to create an Azure Functions app that orchestrates concurrent execution of multiple AI agents, each with specialized expertise, to provide comprehensive answers to complex questions. + +## Key Concepts Demonstrated + +- Multi-agent orchestration with specialized AI agents (physics and chemistry) +- Concurrent execution using the fan-out/fan-in pattern for improved performance and distributed processing +- Response aggregation from multiple agents into a unified result +- Durable orchestration with automatic checkpointing and resumption from failures + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +## Running the Sample + +With the environment setup and function app running, you can test the sample by sending an HTTP request with a custom prompt to the orchestration. + +You can use the `demo.http` file to send a message to the agents, or a command line tool like `curl` as shown below: + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/multiagent/run \ + -H "Content-Type: text/plain" \ + -d "What is temperature?" +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/multiagent/run ` + -ContentType text/plain ` + -Body "What is temperature?" +``` + +The response will be a JSON object that looks something like the following, which indicates that the orchestration has started. + +```json +{ + "message": "Multi-agent concurrent orchestration started.", + "prompt": "What is temperature?", + "instanceId": "e7e29999b6b8424682b3539292afc9ed", + "statusQueryGetUri": "http://localhost:7071/api/multiagent/status/e7e29999b6b8424682b3539292afc9ed" +} +``` + +The orchestration will run both the PhysicistAgent and ChemistAgent concurrently, asking them the same question. Their responses will be combined to provide a comprehensive answer covering both physical and chemical aspects. + +Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following: + +```json +{ + "failureDetails": null, + "input": "What is temperature?", + "instanceId": "e7e29999b6b8424682b3539292afc9ed", + "output": { + "physicist": "Temperature is a measure of the average kinetic energy of particles in a system. From a physics perspective, it represents the thermal energy and determines the direction of heat flow between objects.", + "chemist": "From a chemistry perspective, temperature is crucial for chemical reactions as it affects reaction rates through the Arrhenius equation. It influences the equilibrium position of reversible reactions and determines the physical state of substances." + }, + "runtimeStatus": "Completed" +} +``` diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/demo.http b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/demo.http new file mode 100644 index 0000000000..8004e27e8e --- /dev/null +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/demo.http @@ -0,0 +1,5 @@ +### Start the multi-agent concurrent orchestration +POST http://localhost:7071/api/multiagent/run +Content-Type: text/plain + +What is temperature? diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/host.json b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/host.json new file mode 100644 index 0000000000..9384a0a583 --- /dev/null +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/host.json @@ -0,0 +1,20 @@ +{ + "version": "2.0", + "logging": { + "logLevel": { + "Microsoft.Agents.AI.DurableTask": "Information", + "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information", + "DurableTask": "Information", + "Microsoft.DurableTask": "Information" + } + }, + "extensions": { + "durableTask": { + "hubName": "default", + "storageProvider": { + "type": "AzureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/local.settings.json b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/local.settings.json new file mode 100644 index 0000000000..54dfbb5664 --- /dev/null +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_DEPLOYMENT": "" + } +} diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj new file mode 100644 index 0000000000..1971fb164a --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/04_AgentOrchestration_Conditionals.csproj @@ -0,0 +1,42 @@ + + + net9.0 + v4 + Exe + enable + enable + + AgentOrchestration_Conditionals + AgentOrchestration_Conditionals + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/FunctionTriggers.cs b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/FunctionTriggers.cs new file mode 100644 index 0000000000..14a91185f8 --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/FunctionTriggers.cs @@ -0,0 +1,143 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Net; +using System.Text.Json; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Http; +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; + +namespace AgentOrchestration_Conditionals; + +public static class FunctionTriggers +{ + [Function(nameof(RunOrchestrationAsync))] + public static async Task RunOrchestrationAsync([OrchestrationTrigger] TaskOrchestrationContext context) + { + // Get the email from the orchestration input + Email email = context.GetInput() ?? throw new InvalidOperationException("Email is required"); + + // Get the spam detection agent + DurableAIAgent spamDetectionAgent = context.GetAgent("SpamDetectionAgent"); + AgentThread spamThread = spamDetectionAgent.GetNewThread(); + + // Step 1: Check if the email is spam + AgentRunResponse spamDetectionResponse = await spamDetectionAgent.RunAsync( + message: + $""" + Analyze this email for spam content and return a JSON response with 'is_spam' (boolean) and 'reason' (string) fields: + Email ID: {email.EmailId} + Content: {email.EmailContent} + """, + thread: spamThread); + DetectionResult result = spamDetectionResponse.Result; + + // Step 2: Conditional logic based on spam detection result + if (result.IsSpam) + { + // Handle spam email + return await context.CallActivityAsync(nameof(HandleSpamEmail), result.Reason); + } + + // Generate and send response for legitimate email + DurableAIAgent emailAssistantAgent = context.GetAgent("EmailAssistantAgent"); + AgentThread emailThread = emailAssistantAgent.GetNewThread(); + + AgentRunResponse emailAssistantResponse = await emailAssistantAgent.RunAsync( + message: + $""" + Draft a professional response to this email. Return a JSON response with a 'response' field containing the reply: + + Email ID: {email.EmailId} + Content: {email.EmailContent} + """, + thread: emailThread); + + EmailResponse emailResponse = emailAssistantResponse.Result; + + return await context.CallActivityAsync(nameof(SendEmail), emailResponse.Response); + } + + [Function(nameof(HandleSpamEmail))] + public static string HandleSpamEmail([ActivityTrigger] string reason) + { + return $"Email marked as spam: {reason}"; + } + + [Function(nameof(SendEmail))] + public static string SendEmail([ActivityTrigger] string message) + { + return $"Email sent: {message}"; + } + + // POST /spamdetection/run + [Function(nameof(StartOrchestrationAsync))] + public static async Task StartOrchestrationAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "spamdetection/run")] HttpRequestData req, + [DurableClient] DurableTaskClient client) + { + // Read the email from the request body + Email? email = await req.ReadFromJsonAsync(); + if (email is null || string.IsNullOrWhiteSpace(email.EmailContent)) + { + HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest); + await badRequestResponse.WriteAsJsonAsync(new { error = "Email with content is required" }); + return badRequestResponse; + } + + string instanceId = await client.ScheduleNewOrchestrationInstanceAsync( + orchestratorName: nameof(RunOrchestrationAsync), + input: email); + + HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted); + await response.WriteAsJsonAsync(new + { + message = "Spam detection orchestration started.", + emailId = email.EmailId, + instanceId, + statusQueryGetUri = GetStatusQueryGetUri(req, instanceId), + }); + return response; + } + + // GET /spamdetection/status/{instanceId} + [Function(nameof(GetOrchestrationStatusAsync))] + public static async Task GetOrchestrationStatusAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "spamdetection/status/{instanceId}")] HttpRequestData req, + string instanceId, + [DurableClient] DurableTaskClient client) + { + OrchestrationMetadata? status = await client.GetInstanceAsync( + instanceId, + getInputsAndOutputs: true, + req.FunctionContext.CancellationToken); + + if (status is null) + { + HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound); + await notFound.WriteAsJsonAsync(new { error = "Instance not found" }); + return notFound; + } + + HttpResponseData response = req.CreateResponse(HttpStatusCode.OK); + await response.WriteAsJsonAsync(new + { + instanceId = status.InstanceId, + runtimeStatus = status.RuntimeStatus.ToString(), + input = status.SerializedInput is not null ? (object)status.ReadInputAs() : null, + output = status.SerializedOutput is not null ? (object)status.ReadOutputAs() : null, + failureDetails = status.FailureDetails + }); + return response; + } + + private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId) + { + // NOTE: This can be made more robust by considering the value of + // request headers like "X-Forwarded-Host" and "X-Forwarded-Proto". + string authority = $"{req.Url.Scheme}://{req.Url.Authority}"; + return $"{authority}/api/spamdetection/status/{instanceId}"; + } +} diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Models.cs b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Models.cs new file mode 100644 index 0000000000..a39695d7d0 --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Models.cs @@ -0,0 +1,38 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; + +namespace AgentOrchestration_Conditionals; + +/// +/// Represents an email input for spam detection and response generation. +/// +public sealed class Email +{ + [JsonPropertyName("email_id")] + public string EmailId { get; set; } = string.Empty; + + [JsonPropertyName("email_content")] + public string EmailContent { get; set; } = string.Empty; +} + +/// +/// Represents the result of spam detection analysis. +/// +public sealed class DetectionResult +{ + [JsonPropertyName("is_spam")] + public bool IsSpam { get; set; } + + [JsonPropertyName("reason")] + public string Reason { get; set; } = string.Empty; +} + +/// +/// Represents a generated email response. +/// +public sealed class EmailResponse +{ + [JsonPropertyName("response")] + public string Response { get; set; } = string.Empty; +} diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs new file mode 100644 index 0000000000..ac14105737 --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs @@ -0,0 +1,47 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.Hosting.AzureFunctions; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Extensions.Hosting; +using OpenAI; + +// Get the Azure OpenAI endpoint and deployment name from environment variables. +string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); + +// Use Azure Key Credential if provided, otherwise use Azure CLI Credential. +string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); + +// Two agents used by the orchestration to demonstrate conditional logic. +const string SpamDetectionName = "SpamDetectionAgent"; +const string SpamDetectionInstructions = "You are a spam detection assistant that identifies spam emails."; + +const string EmailAssistantName = "EmailAssistantAgent"; +const string EmailAssistantInstructions = "You are an email assistant that helps users draft responses to emails with professionalism."; + +AIAgent spamDetectionAgent = client.GetChatClient(deploymentName) + .CreateAIAgent(SpamDetectionInstructions, SpamDetectionName); + +AIAgent emailAssistantAgent = client.GetChatClient(deploymentName) + .CreateAIAgent(EmailAssistantInstructions, EmailAssistantName); + +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => + { + options.AddAIAgent(spamDetectionAgent); + options.AddAIAgent(emailAssistantAgent); + }) + .Build(); + +app.Run(); diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/README.md b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/README.md new file mode 100644 index 0000000000..97202b18a8 --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/README.md @@ -0,0 +1,113 @@ +# Multi-Agent Orchestration with Conditionals Sample + +This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a multi-agent orchestration workflow that includes conditional logic. The workflow implements a spam detection system that processes emails and takes different actions based on whether the email is identified as spam or legitimate. + +## Key Concepts Demonstrated + +- Multi-agent orchestration with conditional logic and different processing paths +- Spam detection using AI agent analysis +- Structured output from agents for reliable processing +- Activity functions for integrating non-agentic workflow actions + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +## Running the Sample + +With the environment setup and function app running, you can test the sample by sending an HTTP request with email data to the orchestration. + +You can use the `demo.http` file to send email data to the agents, or a command line tool like `curl` as shown below: + +Bash (Linux/macOS/WSL): + +```bash +# Test with a legitimate email +curl -X POST http://localhost:7071/api/spamdetection/run \ + -H "Content-Type: application/json" \ + -d '{ + "email_id": "email-001", + "email_content": "Hi John, I hope you are doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!" + }' + +# Test with a spam email +curl -X POST http://localhost:7071/api/spamdetection/run \ + -H "Content-Type: application/json" \ + -d '{ + "email_id": "email-002", + "email_content": "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!" + }' +``` + +PowerShell: + +```powershell +# Test with a legitimate email +$body = @{ + email_id = "email-001" + email_content = "Hi John, I hope you are doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!" +} | ConvertTo-Json + +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/spamdetection/run ` + -ContentType application/json ` + -Body $body + +# Test with a spam email +$body = @{ + email_id = "email-002" + email_content = "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!" +} | ConvertTo-Json + +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/spamdetection/run ` + -ContentType application/json ` + -Body $body +``` + +The response from either input will be a JSON object that looks something like the following, which indicates that the orchestration has started. + +```json +{ + "message": "Spam detection orchestration started.", + "emailId": "email-001", + "instanceId": "555dbbb63f75406db2edf9f1f092de95", + "statusQueryGetUri": "http://localhost:7071/api/spamdetection/status/555dbbb63f75406db2edf9f1f092de95" +} +``` + +The orchestration will: + +1. Analyze the email content using the SpamDetectionAgent +2. If spam: Mark the email as spam with a reason +3. If legitimate: Use the EmailAssistantAgent to draft a professional response and "send" it + +Once the orchestration has completed, you can get the status of the orchestration by sending a GET request to the `statusQueryGetUri` URL. The response for the legitimate email will be a JSON object that looks something like the following: + +```json +{ + "failureDetails": null, + "input": { + "email_content": "Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!", + "email_id": "email-001" + }, + "instanceId": "555dbbb63f75406db2edf9f1f092de95", + "output": "Email sent: Subject: Re: Follow-Up on Quarterly Report\n\nHi [Recipient's Name],\n\nI hope this message finds you well. Thank you for your patience. I will ensure the updated figures for the quarterly report are sent to you by Friday.\n\nIf you have any further questions or need additional information, please feel free to reach out.\n\nBest regards,\n\nJohn", + "runtimeStatus": "Completed" +} +``` + +The response for the spam email will be a JSON object that looks something like the following, which indicates that the email was marked as spam: + +```json +{ + "failureDetails": null, + "input": { + "email_content": "URGENT! You have won $1,000,000! Click here now to claim your prize! Limited time offer! Do not miss out!", + "email_id": "email-002" + }, + "instanceId": "555dbbb63f75406db2edf9f1f092de95", + "output": "Email marked as spam: The email contains misleading claims of winning a large sum of money and encourages immediate action, which are common characteristics of spam.", + "runtimeStatus": "Completed" +} +``` diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/demo.http b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/demo.http new file mode 100644 index 0000000000..1120a7a181 --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/demo.http @@ -0,0 +1,18 @@ +### Test spam detection with a legitimate email +POST http://localhost:7071/api/spamdetection/run +Content-Type: application/json + +{ + "email_id": "email-001", + "email_content": "Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!" +} + + +### Test spam detection with a spam email +POST http://localhost:7071/api/spamdetection/run +Content-Type: application/json + +{ + "email_id": "email-002", + "email_content": "URGENT! You've won $1,000,000! Click here now to claim your prize! Limited time offer! Don't miss out!" +} diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/host.json b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/host.json new file mode 100644 index 0000000000..9384a0a583 --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/host.json @@ -0,0 +1,20 @@ +{ + "version": "2.0", + "logging": { + "logLevel": { + "Microsoft.Agents.AI.DurableTask": "Information", + "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information", + "DurableTask": "Information", + "Microsoft.DurableTask": "Information" + } + }, + "extensions": { + "durableTask": { + "hubName": "default", + "storageProvider": { + "type": "AzureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/local.settings.json b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/local.settings.json new file mode 100644 index 0000000000..54dfbb5664 --- /dev/null +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_DEPLOYMENT": "" + } +} diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj new file mode 100644 index 0000000000..b7d211605f --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/05_AgentOrchestration_HITL.csproj @@ -0,0 +1,43 @@ + + + net9.0 + v4 + Exe + enable + enable + + AgentOrchestration_HITL + AgentOrchestration_HITL + $(NoWarn);DURABLE0001;DURABLE0002;DURABLE0003;DURABLE0004;DURABLE0005;DURABLE0006 + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/FunctionTriggers.cs b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/FunctionTriggers.cs new file mode 100644 index 0000000000..001a52c105 --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/FunctionTriggers.cs @@ -0,0 +1,229 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Net; +using System.Text.Json; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Http; +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; +using Microsoft.Extensions.Logging; + +namespace AgentOrchestration_HITL; + +public static class FunctionTriggers +{ + [Function(nameof(RunOrchestrationAsync))] + public static async Task RunOrchestrationAsync( + [OrchestrationTrigger] TaskOrchestrationContext context) + { + // Get the input from the orchestration + ContentGenerationInput input = context.GetInput() + ?? throw new InvalidOperationException("Content generation input is required"); + + // Get the writer agent + DurableAIAgent writerAgent = context.GetAgent("WriterAgent"); + AgentThread writerThread = writerAgent.GetNewThread(); + + // Set initial status + context.SetCustomStatus($"Starting content generation for topic: {input.Topic}"); + + // Step 1: Generate initial content + AgentRunResponse writerResponse = await writerAgent.RunAsync( + message: $"Write a short article about '{input.Topic}'.", + thread: writerThread); + GeneratedContent content = writerResponse.Result; + + // Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops + int iterationCount = 0; + while (iterationCount++ < input.MaxReviewAttempts) + { + context.SetCustomStatus( + $"Requesting human feedback. Iteration #{iterationCount}. Timeout: {input.ApprovalTimeoutHours} hour(s)."); + + // Step 2: Notify user to review the content + await context.CallActivityAsync(nameof(NotifyUserForApproval), content); + + // Step 3: Wait for human feedback with configurable timeout + HumanApprovalResponse humanResponse; + try + { + humanResponse = await context.WaitForExternalEvent( + eventName: "HumanApproval", + timeout: TimeSpan.FromHours(input.ApprovalTimeoutHours)); + } + catch (OperationCanceledException) + { + // Timeout occurred - treat as rejection + context.SetCustomStatus( + $"Human approval timed out after {input.ApprovalTimeoutHours} hour(s). Treating as rejection."); + throw new TimeoutException($"Human approval timed out after {input.ApprovalTimeoutHours} hour(s)."); + } + + if (humanResponse.Approved) + { + context.SetCustomStatus("Content approved by human reviewer. Publishing content..."); + + // Step 4: Publish the approved content + await context.CallActivityAsync(nameof(PublishContent), content); + + context.SetCustomStatus($"Content published successfully at {context.CurrentUtcDateTime:s}"); + return new { content = content.Content }; + } + + context.SetCustomStatus("Content rejected by human reviewer. Incorporating feedback and regenerating..."); + + // Incorporate human feedback and regenerate + writerResponse = await writerAgent.RunAsync( + message: $""" + The content was rejected by a human reviewer. Please rewrite the article incorporating their feedback. + + Human Feedback: {humanResponse.Feedback} + """, + thread: writerThread); + + content = writerResponse.Result; + } + + // If we reach here, it means we exhausted the maximum number of iterations + throw new InvalidOperationException( + $"Content could not be approved after {input.MaxReviewAttempts} iterations."); + } + + // POST /hitl/run + [Function(nameof(StartOrchestrationAsync))] + public static async Task StartOrchestrationAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "hitl/run")] HttpRequestData req, + [DurableClient] DurableTaskClient client) + { + // Read the input from the request body + ContentGenerationInput? input = await req.ReadFromJsonAsync(); + if (input is null || string.IsNullOrWhiteSpace(input.Topic)) + { + HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest); + await badRequestResponse.WriteAsJsonAsync(new { error = "Topic is required" }); + return badRequestResponse; + } + + string instanceId = await client.ScheduleNewOrchestrationInstanceAsync( + orchestratorName: nameof(RunOrchestrationAsync), + input: input); + + HttpResponseData response = req.CreateResponse(HttpStatusCode.Accepted); + await response.WriteAsJsonAsync(new + { + message = "HITL content generation orchestration started.", + topic = input.Topic, + instanceId, + statusQueryGetUri = GetStatusQueryGetUri(req, instanceId), + }); + return response; + } + + // POST /hitl/approve/{instanceId} + [Function(nameof(SendHumanApprovalAsync))] + public static async Task SendHumanApprovalAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "post", Route = "hitl/approve/{instanceId}")] HttpRequestData req, + string instanceId, + [DurableClient] DurableTaskClient client) + { + // Read the approval response from the request body + HumanApprovalResponse? approvalResponse = await req.ReadFromJsonAsync(); + if (approvalResponse is null) + { + HttpResponseData badRequestResponse = req.CreateResponse(HttpStatusCode.BadRequest); + await badRequestResponse.WriteAsJsonAsync(new { error = "Approval response is required" }); + return badRequestResponse; + } + + // Send the approval event to the orchestration + await client.RaiseEventAsync(instanceId, "HumanApproval", approvalResponse); + + HttpResponseData response = req.CreateResponse(HttpStatusCode.OK); + await response.WriteAsJsonAsync(new + { + message = "Human approval sent to orchestration.", + instanceId, + approved = approvalResponse.Approved + }); + return response; + } + + // GET /hitl/status/{instanceId} + [Function(nameof(GetOrchestrationStatusAsync))] + public static async Task GetOrchestrationStatusAsync( + [HttpTrigger(AuthorizationLevel.Anonymous, "get", Route = "hitl/status/{instanceId}")] HttpRequestData req, + string instanceId, + [DurableClient] DurableTaskClient client) + { + OrchestrationMetadata? status = await client.GetInstanceAsync( + instanceId, + getInputsAndOutputs: true, + req.FunctionContext.CancellationToken); + + if (status is null) + { + HttpResponseData notFound = req.CreateResponse(HttpStatusCode.NotFound); + await notFound.WriteAsJsonAsync(new { error = "Instance not found" }); + return notFound; + } + + HttpResponseData response = req.CreateResponse(HttpStatusCode.OK); + await response.WriteAsJsonAsync(new + { + instanceId = status.InstanceId, + runtimeStatus = status.RuntimeStatus.ToString(), + workflowStatus = status.SerializedCustomStatus is not null ? (object)status.ReadCustomStatusAs() : null, + input = status.SerializedInput is not null ? (object)status.ReadInputAs() : null, + output = status.SerializedOutput is not null ? (object)status.ReadOutputAs() : null, + failureDetails = status.FailureDetails + }); + return response; + } + + [Function(nameof(NotifyUserForApproval))] + public static void NotifyUserForApproval( + [ActivityTrigger] GeneratedContent content, + FunctionContext functionContext) + { + ILogger logger = functionContext.GetLogger(nameof(NotifyUserForApproval)); + + // In a real implementation, this would send notifications via email, SMS, etc. + logger.LogInformation( + """ + NOTIFICATION: Please review the following content for approval: + Title: {Title} + Content: {Content} + Use the approval endpoint to approve or reject this content. + """, + content.Title, + content.Content); + } + + [Function(nameof(PublishContent))] + public static void PublishContent( + [ActivityTrigger] GeneratedContent content, + FunctionContext functionContext) + { + ILogger logger = functionContext.GetLogger(nameof(PublishContent)); + + // In a real implementation, this would publish to a CMS, website, etc. + logger.LogInformation( + """ + PUBLISHING: Content has been published successfully. + Title: {Title} + Content: {Content} + """, + content.Title, + content.Content); + } + + private static string GetStatusQueryGetUri(HttpRequestData req, string instanceId) + { + // NOTE: This can be made more robust by considering the value of + // request headers like "X-Forwarded-Host" and "X-Forwarded-Proto". + string authority = $"{req.Url.Scheme}://{req.Url.Authority}"; + return $"{authority}/api/hitl/status/{instanceId}"; + } +} diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Models.cs b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Models.cs new file mode 100644 index 0000000000..1eaf1407eb --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Models.cs @@ -0,0 +1,44 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; + +namespace AgentOrchestration_HITL; + +/// +/// Represents the input for the Human-in-the-Loop content generation workflow. +/// +public sealed class ContentGenerationInput +{ + [JsonPropertyName("topic")] + public string Topic { get; set; } = string.Empty; + + [JsonPropertyName("max_review_attempts")] + public int MaxReviewAttempts { get; set; } = 3; + + [JsonPropertyName("approval_timeout_hours")] + public float ApprovalTimeoutHours { get; set; } = 72; +} + +/// +/// Represents the content generated by the writer agent. +/// +public sealed class GeneratedContent +{ + [JsonPropertyName("title")] + public string Title { get; set; } = string.Empty; + + [JsonPropertyName("content")] + public string Content { get; set; } = string.Empty; +} + +/// +/// Represents the human approval response. +/// +public sealed class HumanApprovalResponse +{ + [JsonPropertyName("approved")] + public bool Approved { get; set; } + + [JsonPropertyName("feedback")] + public string Feedback { get; set; } = string.Empty; +} diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs new file mode 100644 index 0000000000..8287ad5f30 --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs @@ -0,0 +1,40 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.Hosting.AzureFunctions; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Extensions.Hosting; +using OpenAI; + +// Get the Azure OpenAI endpoint and deployment name from environment variables. +string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); + +// Use Azure Key Credential if provided, otherwise use Azure CLI Credential. +string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); + +// Single agent used by the orchestration to demonstrate human-in-the-loop workflow. +const string WriterName = "WriterAgent"; +const string WriterInstructions = + """ + You are a professional content writer who creates high-quality articles on various topics. + You write engaging, informative, and well-structured content that follows best practices for readability and accuracy. + """; + +AIAgent writerAgent = client.GetChatClient(deploymentName).CreateAIAgent(WriterInstructions, WriterName); + +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => options.AddAIAgent(writerAgent)) + .Build(); + +app.Run(); diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/README.md b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/README.md new file mode 100644 index 0000000000..b6aa2f037a --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/README.md @@ -0,0 +1,126 @@ +# Multi-Agent Orchestration with Human-in-the-Loop Sample + +This sample demonstrates how to use the Durable Agent Framework (DAFx) to create a human-in-the-loop (HITL) workflow using a single AI agent. The workflow uses a writer agent to generate content and requires human approval on every iteration, emphasizing the human-in-the-loop pattern. + +## Key Concepts Demonstrated + +- Single-agent orchestration +- Human-in-the-loop feedback loop using external events (`WaitForExternalEvent`) +- Activity functions for non-agentic workflow steps +- Iterative content refinement based on human feedback +- Custom status tracking for workflow visibility +- Error handling with maximum retry attempts and timeout handling for human approval + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +## Running the Sample + +With the environment setup and function app running, you can test the sample by sending an HTTP request with a topic to start the content generation workflow. + +You can use the `demo.http` file to send a topic to the agents, or a command line tool like `curl` as shown below: + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/hitl/run \ + -H "Content-Type: application/json" \ + -d '{ + "topic": "The Future of Artificial Intelligence", + "max_review_attempts": 3, + "timeout_minutes": 5 + }' +``` + +PowerShell: + +```powershell +$body = @{ + topic = "The Future of Artificial Intelligence" + max_review_attempts = 3 + timeout_minutes = 5 +} | ConvertTo-Json + +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/hitl/run ` + -ContentType application/json ` + -Body $body +``` + +The response will be a JSON object that looks something like the following, which indicates that the orchestration has started. + +```json +{ + "message": "HITL content generation orchestration started.", + "topic": "The Future of Artificial Intelligence", + "instanceId": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6", + "statusQueryGetUri": "http://localhost:7071/api/hitl/status/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6" +} +``` + +The orchestration will: + +1. Generate initial content using the WriterAgent +2. Notify the user to review the content +3. Wait for human feedback via external event (configurable timeout) +4. If approved by human, publish the content +5. If rejected by human, incorporate feedback and regenerate content +6. If approval timeout occurs, treat as rejection and fail the orchestration +7. Repeat until human approval is received or maximum loop iterations are reached + +Once the orchestration is waiting for human approval, you can send approval or rejection using the approval endpoint: + +Bash (Linux/macOS/WSL): + +```bash +# Approve the content +curl -X POST http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 \ + -H "Content-Type: application/json" \ + -d '{ + "approved": true, + "feedback": "Great article! The content is well-structured and informative." + }' + +# Reject the content with feedback +curl -X POST http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 \ + -H "Content-Type: application/json" \ + -d '{ + "approved": false, + "feedback": "The article needs more technical depth and better examples." + }' +``` + +PowerShell: + +```powershell +# Approve the content +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 ` + -ContentType application/json ` + -Body '{ "approved": true, "feedback": "Great article! The content is well-structured and informative." }' + +# Reject the content with feedback +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/hitl/approve/a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6 ` + -ContentType application/json ` + -Body '{ "approved": false, "feedback": "The article needs more technical depth and better examples." }' +``` + +Once the orchestration has completed, you can get the status by sending a GET request to the `statusQueryGetUri` URL. The response will be a JSON object that looks something like the following: + +```json +{ + "failureDetails": null, + "input": { + "topic": "The Future of Artificial Intelligence", + "max_review_attempts": 3 + }, + "instanceId": "a1b2c3d4e5f6g7h8i9j0k1l2m3n4o5p6", + "output": { + "content": "The Future of Artificial Intelligence is..." + }, + "runtimeStatus": "Completed", + "workflowStatus": "Content published successfully at 2025-10-15T12:00:00Z" +} +``` diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/demo.http b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/demo.http new file mode 100644 index 0000000000..2ab2dc428a --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/demo.http @@ -0,0 +1,44 @@ +### Start the HITL content generation orchestration with default timeout (30 days) +POST http://localhost:7071/api/hitl/run +Content-Type: application/json + +{ + "topic": "The Future of Artificial Intelligence", + "max_review_attempts": 3 +} + + +### Start the HITL content generation orchestration with very short timeout for demonstration (~4 seconds) +POST http://localhost:7071/api/hitl/run +Content-Type: application/json + +{ + "topic": "The Future of Artificial Intelligence", + "max_review_attempts": 3, + "approval_timeout_hours": 0.001 +} + + +### Copy/paste the instanceId from the response above +@instanceId=INSTANCE_ID_GOES_HERE + +### Check the status of the orchestration (replace {instanceId} with the actual instance ID from the response above) +GET http://localhost:7071/api/hitl/status/{{instanceId}} + +### Send human approval (replace {instanceId} with the actual instance ID) +POST http://localhost:7071/api/hitl/approve/{{instanceId}} +Content-Type: application/json + +{ + "approved": true, + "feedback": "Great article! The content is well-structured and informative." +} + +### Send human rejection with feedback (replace {instanceId} with the actual instance ID) +POST http://localhost:7071/api/hitl/approve/{{instanceId}} +Content-Type: application/json + +{ + "approved": false, + "feedback": "The article needs more technical depth and better examples. Please add more specific use cases and implementation details." +} diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/host.json b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/host.json new file mode 100644 index 0000000000..9384a0a583 --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/host.json @@ -0,0 +1,20 @@ +{ + "version": "2.0", + "logging": { + "logLevel": { + "Microsoft.Agents.AI.DurableTask": "Information", + "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information", + "DurableTask": "Information", + "Microsoft.DurableTask": "Information" + } + }, + "extensions": { + "durableTask": { + "hubName": "default", + "storageProvider": { + "type": "AzureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/local.settings.json b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/local.settings.json new file mode 100644 index 0000000000..54dfbb5664 --- /dev/null +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_DEPLOYMENT": "" + } +} diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj b/dotnet/samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj new file mode 100644 index 0000000000..f6e6b7bbfc --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/06_LongRunningTools.csproj @@ -0,0 +1,42 @@ + + + net9.0 + v4 + Exe + enable + enable + + LongRunningTools + LongRunningTools + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/FunctionTriggers.cs b/dotnet/samples/AzureFunctions/06_LongRunningTools/FunctionTriggers.cs new file mode 100644 index 0000000000..b5f81276b8 --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/FunctionTriggers.cs @@ -0,0 +1,151 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Azure.Functions.Worker; +using Microsoft.DurableTask; +using Microsoft.Extensions.Logging; + +namespace LongRunningTools; + +public static class FunctionTriggers +{ + [Function(nameof(RunOrchestrationAsync))] + public static async Task RunOrchestrationAsync( + [OrchestrationTrigger] TaskOrchestrationContext context) + { + // Get the input from the orchestration + ContentGenerationInput input = context.GetInput() + ?? throw new InvalidOperationException("Content generation input is required"); + + // Get the writer agent + DurableAIAgent writerAgent = context.GetAgent("Writer"); + AgentThread writerThread = writerAgent.GetNewThread(); + + // Set initial status + context.SetCustomStatus($"Starting content generation for topic: {input.Topic}"); + + // Step 1: Generate initial content + AgentRunResponse writerResponse = await writerAgent.RunAsync( + message: $"Write a short article about '{input.Topic}'.", + thread: writerThread); + GeneratedContent content = writerResponse.Result; + + // Human-in-the-loop iteration - we set a maximum number of attempts to avoid infinite loops + int iterationCount = 0; + while (iterationCount++ < input.MaxReviewAttempts) + { + context.SetCustomStatus( + new + { + message = "Requesting human feedback.", + approvalTimeoutHours = input.ApprovalTimeoutHours, + iterationCount, + content + }); + + // Step 2: Notify user to review the content + await context.CallActivityAsync(nameof(NotifyUserForApproval), content); + + // Step 3: Wait for human feedback with configurable timeout + HumanApprovalResponse humanResponse; + try + { + humanResponse = await context.WaitForExternalEvent( + eventName: "HumanApproval", + timeout: TimeSpan.FromHours(input.ApprovalTimeoutHours)); + } + catch (OperationCanceledException) + { + // Timeout occurred - treat as rejection + context.SetCustomStatus( + new + { + message = $"Human approval timed out after {input.ApprovalTimeoutHours} hour(s). Treating as rejection.", + iterationCount, + content + }); + throw new TimeoutException($"Human approval timed out after {input.ApprovalTimeoutHours} hour(s)."); + } + + if (humanResponse.Approved) + { + context.SetCustomStatus(new + { + message = "Content approved by human reviewer. Publishing content...", + content + }); + + // Step 4: Publish the approved content + await context.CallActivityAsync(nameof(PublishContent), content); + + context.SetCustomStatus(new + { + message = $"Content published successfully at {context.CurrentUtcDateTime:s}", + humanFeedback = humanResponse, + content + }); + return new { content = content.Content }; + } + + context.SetCustomStatus(new + { + message = "Content rejected by human reviewer. Incorporating feedback and regenerating...", + humanFeedback = humanResponse, + content + }); + + // Incorporate human feedback and regenerate + writerResponse = await writerAgent.RunAsync( + message: $""" + The content was rejected by a human reviewer. Please rewrite the article incorporating their feedback. + + Human Feedback: {humanResponse.Feedback} + """, + thread: writerThread); + + content = writerResponse.Result; + } + + // If we reach here, it means we exhausted the maximum number of iterations + throw new InvalidOperationException( + $"Content could not be approved after {input.MaxReviewAttempts} iterations."); + } + + [Function(nameof(NotifyUserForApproval))] + public static void NotifyUserForApproval( + [ActivityTrigger] GeneratedContent content, + FunctionContext functionContext) + { + ILogger logger = functionContext.GetLogger(nameof(NotifyUserForApproval)); + + // In a real implementation, this would send notifications via email, SMS, etc. + logger.LogInformation( + """ + NOTIFICATION: Please review the following content for approval: + Title: {Title} + Content: {Content} + Use the approval endpoint to approve or reject this content. + """, + content.Title, + content.Content); + } + + [Function(nameof(PublishContent))] + public static void PublishContent( + [ActivityTrigger] GeneratedContent content, + FunctionContext functionContext) + { + ILogger logger = functionContext.GetLogger(nameof(PublishContent)); + + // In a real implementation, this would publish to a CMS, website, etc. + logger.LogInformation( + """ + PUBLISHING: Content has been published successfully. + Title: {Title} + Content: {Content} + """, + content.Title, + content.Content); + } +} diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/Models.cs b/dotnet/samples/AzureFunctions/06_LongRunningTools/Models.cs new file mode 100644 index 0000000000..771343694d --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/Models.cs @@ -0,0 +1,44 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; + +namespace LongRunningTools; + +/// +/// Represents the input for the content generation workflow. +/// +public sealed class ContentGenerationInput +{ + [JsonPropertyName("topic")] + public string Topic { get; set; } = string.Empty; + + [JsonPropertyName("max_review_attempts")] + public int MaxReviewAttempts { get; set; } = 3; + + [JsonPropertyName("approval_timeout_hours")] + public float ApprovalTimeoutHours { get; set; } = 72; +} + +/// +/// Represents the content generated by the writer agent. +/// +public sealed class GeneratedContent +{ + [JsonPropertyName("title")] + public string Title { get; set; } = string.Empty; + + [JsonPropertyName("content")] + public string Content { get; set; } = string.Empty; +} + +/// +/// Represents the human approval response. +/// +public sealed class HumanApprovalResponse +{ + [JsonPropertyName("approved")] + public bool Approved { get; set; } + + [JsonPropertyName("feedback")] + public string Feedback { get; set; } = string.Empty; +} diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs b/dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs new file mode 100644 index 0000000000..fe7446c842 --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs @@ -0,0 +1,73 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using LongRunningTools; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.Hosting.AzureFunctions; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Extensions.AI; +using Microsoft.Extensions.DependencyInjection; +using Microsoft.Extensions.Hosting; +using Microsoft.Extensions.Logging; +using OpenAI; + +// Get the Azure OpenAI endpoint and deployment name from environment variables. +string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); + +// Use Azure Key Credential if provided, otherwise use Azure CLI Credential. +string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); + +// Agent used by the orchestration to write content. +const string WriterAgentName = "Writer"; +const string WriterAgentInstructions = + """ + You are a professional content writer who creates high-quality articles on various topics. + You write engaging, informative, and well-structured content that follows best practices for readability and accuracy. + """; + +AIAgent writerAgent = client.GetChatClient(deploymentName).CreateAIAgent(WriterAgentInstructions, WriterAgentName); + +// Agent that can start content generation workflows using tools +const string PublisherAgentName = "Publisher"; +const string PublisherAgentInstructions = + """ + You are a publishing agent that can manage content generation workflows. + You have access to tools to start, monitor, and raise events for content generation workflows. + """; + +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => + { + // Add the writer agent used by the orchestration + options.AddAIAgent(writerAgent); + + // Define the agent that can start orchestrations from tool calls + options.AddAIAgentFactory(PublisherAgentName, sp => + { + // Initialize the tools to be used by the agent. + Tools publisherTools = new(sp.GetRequiredService>()); + + return client.GetChatClient(deploymentName).CreateAIAgent( + instructions: PublisherAgentInstructions, + name: PublisherAgentName, + services: sp, + tools: [ + AIFunctionFactory.Create(publisherTools.StartContentGenerationWorkflow), + AIFunctionFactory.Create(publisherTools.GetWorkflowStatusAsync), + AIFunctionFactory.Create(publisherTools.SubmitHumanApprovalAsync), + ]); + }); + }) + .Build(); + +app.Run(); diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/README.md b/dotnet/samples/AzureFunctions/06_LongRunningTools/README.md new file mode 100644 index 0000000000..80ea3f1be6 --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/README.md @@ -0,0 +1,129 @@ +# Long Running Tools Sample + +This sample demonstrates how to use the Durable Agent Framework (DAFx) to create agents with long running tools. This sample builds on the [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) sample by adding a publisher agent that can start and manage content generation workflows. A key difference is that the publisher agent knows the IDs of the workflows it starts, so it can check the status of the workflows and approve or reject them without being explicitly given the context (instance IDs, etc). + +## Key Concepts Demonstrated + +The same key concepts as the [05_AgentOrchestration_HITL](../05_AgentOrchestration_HITL) sample are demonstrated, but with the following additional concepts: + +- **Long running tools**: Using `DurableAgentContext.Current` to start orchestrations from tool calls +- **Multi-agent orchestration**: Agents can start and manage workflows that orchestrate other agents +- **Human-in-the-loop (with delegation)**: The agent acts as an intermediary between the human and the workflow. The human remains in the loop, but delegates to the agent to start the workflow and approve or reject the content. + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +## Running the Sample + +With the environment setup and function app running, you can test the sample by sending an HTTP request to start the agent, which will then trigger the content generation workflow. + +You can use the `demo.http` file to send requests to the agent, or a command line tool like `curl` as shown below. + +Bash (Linux/macOS/WSL): + +```bash +curl -i -X POST http://localhost:7071/api/agents/publisher/run \ + -D headers.txt \ + -H "Content-Type: text/plain" \ + -d 'Start a content generation workflow for the topic \"The Future of Artificial Intelligence\"' + +# Save the thread ID to a variable and print it to the terminal +threadId=$(cat headers.txt | grep "X-Agent-Thread" | cut -d' ' -f2) +echo "Thread ID: $threadId" +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/publisher/run ` + -ResponseHeadersVariable ResponseHeaders ` + -ContentType text/plain ` + -Body 'Start a content generation workflow for the topic \"The Future of Artificial Intelligence\"' ` + +# Save the thread ID to a variable and print it to the console +$threadId = $ResponseHeaders['X-Agent-Thread'] +Write-Host "Thread ID: $threadId" +``` + +The response will be a text string that looks something like the following, indicating that the agent request has been received and will be processed: + +```http +HTTP/1.1 200 OK +Content-Type: text/plain +X-Agent-Thread: @publisher@351ec855-7f4d-4527-a60d-498301ced36d + +The content generation workflow for the topic "The Future of Artificial Intelligence" has been successfully started, and the instance ID is **6a04276e8d824d8d941e1dc4142cc254**. If you need any further assistance or updates on the workflow, feel free to ask! +``` + +The `X-Agent-Thread` response header contains the thread ID, which can be used to continue the conversation by passing it as a query parameter to the `run` endpoint. The commands above show how to save the thread ID to a `$threadId` variable for use in subsequent requests. + +Behind the scenes, the publisher agent will: + +1. Start the content generation workflow via a tool call +1. The workflow will generate initial content using the Writer agent and wait for human approval, which will be visible in the logs + +Once the workflow is waiting for human approval, you can send approval or rejection by prompting the publisher agent accordingly (e.g. "Approve the content" or "Reject the content with feedback: The article needs more technical depth and better examples."): + +Bash (Linux/macOS/WSL): + +```bash +# Approve the content +curl -X POST http://localhost:7071/api/agents/publisher/run?threadId=$threadId \ + -H "Content-Type: text/plain" \ + -d 'Approve the content' + +# Reject the content with feedback +curl -X POST http://localhost:7071/api/agents/publisher/run?threadId=$threadId \ + -H "Content-Type: text/plain" \ + -d 'Reject the content with feedback: The article needs more technical depth and better examples.' +``` + +PowerShell: + +```powershell +# Approve the content +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/publisher/run?threadId=$threadId ` + -ContentType text/plain ` + -Body 'Approve the content' + +# Reject the content with feedback +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/publisher/run?threadId=$threadId ` + -ContentType text/plain ` + -Body 'Reject the content with feedback: The article needs more technical depth and better examples.' +``` + +Once the workflow has completed, you can get the status by prompting the publisher agent to give you the status. + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/agents/publisher/run?threadId=$threadId \ + -H "Content-Type: text/plain" \ + -d 'Get the status of the workflow you previously started' +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/publisher/run?threadId=$threadId ` + -ContentType text/plain ` + -Body 'Get the status of the workflow you previously started' +``` + +The response from the publisher agent will look something like the following: + +```text +The status of the workflow with instance ID **ab1076d6e7ec49d8a2c2474d09b69ded** is as follows: + +- **Execution Status:** Completed +- **Workflow Status:** Content published successfully at `2025-10-24T20:42:02` +- **Created At:** `2025-10-24T20:41:40.7531781+00:00` +- **Last Updated At:** `2025-10-24T20:42:02.1410736+00:00` + +The content has been successfully published. +``` diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/Tools.cs b/dotnet/samples/AzureFunctions/06_LongRunningTools/Tools.cs new file mode 100644 index 0000000000..c2602e659e --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/Tools.cs @@ -0,0 +1,84 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.ComponentModel; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.DurableTask.Client; +using Microsoft.Extensions.Logging; + +namespace LongRunningTools; + +/// +/// Tools that demonstrate starting orchestrations from agent tool calls. +/// +internal sealed class Tools(ILogger logger) +{ + private readonly ILogger _logger = logger; + + [Description("Starts a content generation workflow and returns the instance ID for tracking.")] + public string StartContentGenerationWorkflow([Description("The topic for content generation")] string topic) + { + this._logger.LogInformation("Starting content generation workflow for topic: {Topic}", topic); + + const int MaxReviewAttempts = 3; + const float ApprovalTimeoutHours = 72; + + // Schedule the orchestration, which will start running after the tool call completes. + string instanceId = DurableAgentContext.Current.ScheduleNewOrchestration( + name: nameof(FunctionTriggers.RunOrchestrationAsync), + input: new ContentGenerationInput + { + Topic = topic, + MaxReviewAttempts = MaxReviewAttempts, + ApprovalTimeoutHours = ApprovalTimeoutHours + }); + + this._logger.LogInformation( + "Content generation workflow scheduled to be started for topic '{Topic}' with instance ID: {InstanceId}", + topic, + instanceId); + + return $"Workflow started with instance ID: {instanceId}"; + } + + [Description("Gets the status of a workflow orchestration.")] + public async Task GetWorkflowStatusAsync( + [Description("The instance ID of the workflow to check")] string instanceId, + [Description("Whether to include detailed information")] bool includeDetails = true) + { + this._logger.LogInformation("Getting status for workflow instance: {InstanceId}", instanceId); + + // Get the current agent context using the thread-static property + OrchestrationMetadata? status = await DurableAgentContext.Current.GetOrchestrationStatusAsync( + instanceId, + includeDetails); + + if (status is null) + { + this._logger.LogInformation("Workflow instance '{InstanceId}' not found.", instanceId); + return new + { + instanceId, + error = $"Workflow instance '{instanceId}' not found.", + }; + } + + return new + { + instanceId = status.InstanceId, + createdAt = status.CreatedAt, + executionStatus = status.RuntimeStatus, + workflowStatus = status.SerializedCustomStatus, + lastUpdatedAt = status.LastUpdatedAt, + failureDetails = status.FailureDetails + }; + } + + [Description("Raises a feedback event for the content generation workflow.")] + public async Task SubmitHumanApprovalAsync( + [Description("The instance ID of the workflow to submit feedback for")] string instanceId, + [Description("Feedback to submit")] HumanApprovalResponse feedback) + { + this._logger.LogInformation("Submitting human approval for workflow instance: {InstanceId}", instanceId); + await DurableAgentContext.Current.RaiseOrchestrationEventAsync(instanceId, "HumanApproval", feedback); + } +} diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/demo.http b/dotnet/samples/AzureFunctions/06_LongRunningTools/demo.http new file mode 100644 index 0000000000..5bbf8bf7ee --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/demo.http @@ -0,0 +1,27 @@ +### Run an agent that can schedule orchestrations as tool calls +POST http://localhost:7071/api/agents/publisher/run +Content-Type: text/plain + +Start a content generation workflow for the topic 'The Future of Artificial Intelligence' + + +### Save the session ID from the response to continue the conversation +@threadId = + +### Check the status of the workflow +POST http://localhost:7071/api/agents/publisher/run?threadId={{threadId}} +Content-Type: text/plain + +Check the status of the workflow you previously started + +### Reject content with feedback +POST http://localhost:7071/api/agents/publisher/run?threadId={{threadId}} +Content-Type: text/plain + +Reject the content with feedback: The article needs more technical depth and better examples. + +### Approve content +POST http://localhost:7071/api/agents/publisher/run?threadId={{threadId}} +Content-Type: text/plain + +Approve the content diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/host.json b/dotnet/samples/AzureFunctions/06_LongRunningTools/host.json new file mode 100644 index 0000000000..9384a0a583 --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/host.json @@ -0,0 +1,20 @@ +{ + "version": "2.0", + "logging": { + "logLevel": { + "Microsoft.Agents.AI.DurableTask": "Information", + "Microsoft.Agents.AI.Hosting.AzureFunctions": "Information", + "DurableTask": "Information", + "Microsoft.DurableTask": "Information" + } + }, + "extensions": { + "durableTask": { + "hubName": "default", + "storageProvider": { + "type": "AzureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/local.settings.json b/dotnet/samples/AzureFunctions/06_LongRunningTools/local.settings.json new file mode 100644 index 0000000000..54dfbb5664 --- /dev/null +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_DEPLOYMENT": "" + } +} diff --git a/dotnet/samples/AzureFunctions/README.md b/dotnet/samples/AzureFunctions/README.md new file mode 100644 index 0000000000..eacae19306 --- /dev/null +++ b/dotnet/samples/AzureFunctions/README.md @@ -0,0 +1,150 @@ +# Azure Functions Samples + +This directory contains samples for Azure Functions. + +- **[01_SingleAgent](01_SingleAgent)**: A sample that demonstrates how to host a single conversational agent in an Azure Functions app and invoke it directly over HTTP. +- **[02_AgentOrchestration_Chaining](02_AgentOrchestration_Chaining)**: A sample that demonstrates how to host a single conversational agent in an Azure Functions app and invoke it using a durable orchestration. +- **[03_AgentOrchestration_Concurrency](03_AgentOrchestration_Concurrency)**: A sample that demonstrates how to host multiple agents in an Azure Functions app and run them concurrently using a durable orchestration. +- **[04_AgentOrchestration_Conditionals](04_AgentOrchestration_Conditionals)**: A sample that demonstrates how to host multiple agents in an Azure Functions app and run them sequentially using a durable orchestration with conditionals. +- **[05_AgentOrchestration_HITL](05_AgentOrchestration_HITL)**: A sample that demonstrates how to implement a human-in-the-loop workflow using durable orchestration, including external event handling for human approval. +- **[06_LongRunningTools](06_LongRunningTools)**: A sample that demonstrates how agents can start and interact with durable orchestrations from tool calls to enable long-running tool scenarios. + +## Running the Samples + +These samples are designed to be run locally in a cloned repository. + +### Prerequisites + +The following prerequisites are required to run the samples: + +- [.NET 9.0 SDK or later](https://dotnet.microsoft.com/download/dotnet) +- [Azure Functions Core Tools](https://learn.microsoft.com/azure/azure-functions/functions-run-local) (version 4.x or later) +- [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed and authenticated (`az login`) or an API key for the Azure OpenAI service +- [Azure OpenAI Service](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource) with a deployed model (gpt-4o-mini or better is recommended) +- [Durable Task Scheduler](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/develop-with-durable-task-scheduler) (local emulator or Azure-hosted) +- [Docker](https://docs.docker.com/get-docker/) installed if running the Durable Task Scheduler emulator locally + +### Configuring RBAC Permissions for Azure OpenAI + +These samples are configured to use the Azure OpenAI service with RBAC permissions to access the model. You'll need to configure the RBAC permissions for the Azure OpenAI service to allow the Azure Functions app to access the model. + +Below is an example of how to configure the RBAC permissions for the Azure OpenAI service to allow the current user to access the model. + +Bash (Linux/macOS/WSL): + +```bash +az role assignment create \ + --assignee "yourname@contoso.com" \ + --role "Cognitive Services OpenAI User" \ + --scope /subscriptions//resourceGroups//providers/Microsoft.CognitiveServices/accounts/ +``` + +PowerShell: + +```powershell +az role assignment create ` + --assignee "yourname@contoso.com" ` + --role "Cognitive Services OpenAI User" ` + --scope /subscriptions//resourceGroups//providers/Microsoft.CognitiveServices/accounts/ +``` + +More information on how to configure RBAC permissions for Azure OpenAI can be found in the [Azure OpenAI documentation](https://learn.microsoft.com/azure/ai-services/openai/how-to/create-resource?pivots=cli). + +### Setting an API key for the Azure OpenAI service + +As an alternative to configuring Azure RBAC permissions, you can set an API key for the Azure OpenAI service by setting the `AZURE_OPENAI_KEY` environment variable. + +Bash (Linux/macOS/WSL): + +```bash +export AZURE_OPENAI_KEY="your-api-key" +``` + +PowerShell: + +```powershell +$env:AZURE_OPENAI_KEY="your-api-key" +``` + +### Start Durable Task Scheduler + +Most samples use the Durable Task Scheduler (DTS) to support hosted agents and durable orchestrations. DTS also allows you to view the status of orchestrations and their inputs and outputs from a web UI. + +To run the Durable Task Scheduler locally, you can use the following `docker` command: + +```bash +docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest +``` + +The DTS dashboard will be available at `http://localhost:8080`. + +### Start the Azure Storage Emulator + +All Function apps require an Azure Storage account to store functions-specific state. You can use the Azure Storage Emulator to run a local instance of the Azure Storage service. + +You can run the Azure Storage emulator locally as a standalone process or via a Docker container. + +#### Docker + +```bash +docker run -d --name storage-emulator -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite +``` + +#### Standalone + +```bash +npm install -g azurite +azurite +``` + +### Environment Configuration + +Each sample has its own `local.settings.json` file that contains the environment variables for the sample. You'll need to update the `local.settings.json` file with the correct values for your Azure OpenAI resource. + +```json +{ + "Values": { + "AZURE_OPENAI_ENDPOINT": "https://your-resource.openai.azure.com/", + "AZURE_OPENAI_DEPLOYMENT": "your-deployment-name" + } +} +``` + +Alternatively, you can set the environment variables in the command line. + +### Bash (Linux/macOS/WSL) + +```bash +export AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" +export AZURE_OPENAI_DEPLOYMENT="your-deployment-name" +``` + +### PowerShell + +```powershell +$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" +$env:AZURE_OPENAI_DEPLOYMENT="your-deployment-name" +``` + +These environment variables, when set, will override the values in the `local.settings.json` file, making it convenient to test the sample without having to update the `local.settings.json` file. + +### Start the Azure Functions app + +Navigate to the sample directory and start the Azure Functions app: + +```bash +cd dotnet/samples/AzureFunctions/01_SingleAgent +func start +``` + +The Azure Functions app will be available at `http://localhost:7071`. + +### Test the Azure Functions app + +The README.md file in each sample directory contains instructions for testing the sample. Each sample also includes a `demo.http` file that can be used to test the sample from the command line. These files can be opened in VS Code with the [REST Client](https://marketplace.visualstudio.com/items?itemName=humao.rest-client) extension or in the Visual Studio IDE. + +### Viewing the sample output + +The Azure Functions app logs are displayed in the terminal where you ran `func start`. This is where most agent output will be displayed. You can adjust logging levels in the `host.json` file as needed. + +You can also see the state of agents and orchestrations in the DTS dashboard. From 754491cdd3d4029d886e43b1bff8526215280c6e Mon Sep 17 00:00:00 2001 From: Laveesh Rohra Date: Fri, 7 Nov 2025 08:29:43 -0800 Subject: [PATCH 05/19] Python: Add Unit tests for Azurefunctions package (#1976) * Add Unit tests for Azurefunctions * remove duplicate import --- .../agent_framework_azurefunctions/_models.py | 5 +- .../packages/azurefunctions/tests/test_app.py | 614 ++++++++++++ .../azurefunctions/tests/test_entities.py | 904 ++++++++++++++++++ .../azurefunctions/tests/test_models.py | 478 +++++++++ .../azurefunctions/tests/test_multi_agent.py | 150 +++ .../tests/test_orchestration.py | 425 ++++++++ .../azurefunctions/tests/test_state.py | 110 +++ 7 files changed, 2684 insertions(+), 2 deletions(-) create mode 100644 python/packages/azurefunctions/tests/test_app.py create mode 100644 python/packages/azurefunctions/tests/test_entities.py create mode 100644 python/packages/azurefunctions/tests/test_models.py create mode 100644 python/packages/azurefunctions/tests/test_multi_agent.py create mode 100644 python/packages/azurefunctions/tests/test_orchestration.py create mode 100644 python/packages/azurefunctions/tests/test_state.py diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py index 15f24666bb..32d0f101e3 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py @@ -197,9 +197,10 @@ async def deserialize( **kwargs: Any, ) -> "DurableAgentThread": """Restores a durable thread, rehydrating the stored session identifier.""" - session_id_value = serialized_thread_state.get(cls._SERIALIZED_SESSION_ID_KEY) + state_payload = dict(serialized_thread_state) + session_id_value = state_payload.pop(cls._SERIALIZED_SESSION_ID_KEY, None) thread = await super().deserialize( - serialized_thread_state, + state_payload, message_store=message_store, **kwargs, ) diff --git a/python/packages/azurefunctions/tests/test_app.py b/python/packages/azurefunctions/tests/test_app.py new file mode 100644 index 0000000000..d7ed8fef78 --- /dev/null +++ b/python/packages/azurefunctions/tests/test_app.py @@ -0,0 +1,614 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Unit tests for AgentFunctionApp.""" + +from collections.abc import Awaitable, Callable +from typing import Any, TypeVar +from unittest.mock import ANY, AsyncMock, Mock, patch + +import azure.durable_functions as df +import azure.functions as func +import pytest +from agent_framework import AgentRunResponse, ChatMessage + +from agent_framework_azurefunctions import AgentFunctionApp +from agent_framework_azurefunctions._entities import AgentEntity, AgentState, create_agent_entity +from agent_framework_azurefunctions._errors import IncomingRequestError + +TFunc = TypeVar("TFunc", bound=Callable[..., Any]) + + +class TestAgentFunctionAppInit: + """Test suite for AgentFunctionApp initialization.""" + + def test_init_with_defaults(self) -> None: + """Test initialization with default parameters.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + + assert len(app.agents) == 1 + assert "TestAgent" in app.agents + assert app.enable_health_check is True + + def test_init_with_custom_auth_level(self) -> None: + """Test initialization with custom auth level.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent], http_auth_level=func.AuthLevel.FUNCTION) + + # App should be created successfully + assert "TestAgent" in app.agents + + def test_init_with_health_check_disabled(self) -> None: + """Test initialization with health check disabled.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent], enable_health_check=False) + + assert app.enable_health_check is False + + def test_init_with_http_endpoints_disabled(self) -> None: + """Test initialization with HTTP endpoints disabled.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent], enable_http_endpoints=False) + + assert app.enable_http_endpoints is False + + def test_init_stores_agent_reference(self) -> None: + """Test that agent reference is stored correctly.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + + assert app.agents["TestAgent"].name == "TestAgent" + + def test_add_agent_uses_specific_callback(self) -> None: + """Verify that a per-agent callback overrides the default.""" + + mock_agent = Mock() + mock_agent.name = "CallbackAgent" + specific_callback = Mock() + + with patch.object(AgentFunctionApp, "_setup_agent_functions") as setup_mock: + app = AgentFunctionApp(default_callback=Mock()) + app.add_agent(mock_agent, callback=specific_callback) + + setup_mock.assert_called_once() + _, _, passed_callback, enable_http_endpoint = setup_mock.call_args[0] + assert passed_callback is specific_callback + assert enable_http_endpoint is True + + def test_default_callback_applied_when_no_specific(self) -> None: + """Ensure the default callback is supplied when add_agent lacks override.""" + + mock_agent = Mock() + mock_agent.name = "DefaultAgent" + default_callback = Mock() + + with patch.object(AgentFunctionApp, "_setup_agent_functions") as setup_mock: + app = AgentFunctionApp(default_callback=default_callback) + app.add_agent(mock_agent) + + setup_mock.assert_called_once() + _, _, passed_callback, enable_http_endpoint = setup_mock.call_args[0] + assert passed_callback is default_callback + assert enable_http_endpoint is True + + def test_init_with_agents_uses_default_callback(self) -> None: + """Agents provided in __init__ should receive the default callback.""" + + mock_agent = Mock() + mock_agent.name = "InitAgent" + default_callback = Mock() + + with patch.object(AgentFunctionApp, "_setup_agent_functions") as setup_mock: + AgentFunctionApp(agents=[mock_agent], default_callback=default_callback) + + setup_mock.assert_called_once() + _, _, passed_callback, enable_http_endpoint = setup_mock.call_args[0] + assert passed_callback is default_callback + assert enable_http_endpoint is True + + +class TestAgentFunctionAppSetup: + """Test suite for AgentFunctionApp setup and configuration.""" + + def test_app_is_dfapp_instance(self) -> None: + """Test that AgentFunctionApp is a DFApp instance.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + + assert isinstance(app, df.DFApp) + + def test_setup_creates_http_trigger(self) -> None: + """Test that setup creates an HTTP trigger.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + def passthrough_decorator(*args: Any, **kwargs: Any) -> Callable[[TFunc], TFunc]: + def decorator(func: TFunc) -> TFunc: + return func + + return decorator + + with ( + patch.object(AgentFunctionApp, "route", new=passthrough_decorator), + patch.object(AgentFunctionApp, "durable_client_input", new=passthrough_decorator), + patch.object(AgentFunctionApp, "entity_trigger", new=passthrough_decorator), + ): + app = AgentFunctionApp(agents=[mock_agent]) + + # Verify agent is registered + assert "TestAgent" in app.agents + + def test_setup_skips_http_trigger_when_disabled(self) -> None: + """Test that HTTP trigger is not created when disabled.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + captured_routes: list[str | None] = [] + + def capture_route(*args: Any, **kwargs: Any) -> Callable[[TFunc], TFunc]: + def decorator(func: TFunc) -> TFunc: + route_key = kwargs.get("route") if kwargs else None + captured_routes.append(route_key) + return func + + return decorator + + def passthrough_decorator(*args: Any, **kwargs: Any) -> Callable[[TFunc], TFunc]: + def decorator(func: TFunc) -> TFunc: + return func + + return decorator + + with ( + patch.object(AgentFunctionApp, "function_name", new=passthrough_decorator), + patch.object(AgentFunctionApp, "route", new=capture_route), + patch.object(AgentFunctionApp, "durable_client_input", new=passthrough_decorator), + patch.object(AgentFunctionApp, "entity_trigger", new=passthrough_decorator), + ): + app = AgentFunctionApp(agents=[mock_agent], enable_http_endpoints=False) + + # Verify agent is registered + assert "TestAgent" in app.agents + + # Verify that no HTTP run route was created + run_route = f"agents/{mock_agent.name}/run" + assert run_route not in captured_routes + + def test_agent_override_enables_http_route_when_app_disabled(self) -> None: + """Agent-level override should enable HTTP route even when app disables it.""" + + mock_agent = Mock() + mock_agent.name = "OverrideAgent" + + with ( + patch.object(AgentFunctionApp, "_setup_http_run_route") as http_route_mock, + patch.object(AgentFunctionApp, "_setup_agent_entity") as agent_entity_mock, + ): + app = AgentFunctionApp(enable_health_check=False, enable_http_endpoints=False) + app.add_agent(mock_agent, enable_http_endpoint=True) + + http_route_mock.assert_called_once_with("OverrideAgent") + agent_entity_mock.assert_called_once_with(mock_agent, "OverrideAgent", ANY) + assert app.agent_http_endpoint_flags["OverrideAgent"] is True + + def test_agent_override_disables_http_route_when_app_enabled(self) -> None: + """Agent-level override should disable HTTP route even when app enables it.""" + + mock_agent = Mock() + mock_agent.name = "DisabledOverride" + + with ( + patch.object(AgentFunctionApp, "_setup_http_run_route") as http_route_mock, + patch.object(AgentFunctionApp, "_setup_agent_entity") as agent_entity_mock, + ): + app = AgentFunctionApp(enable_health_check=False, enable_http_endpoints=True) + app.add_agent(mock_agent, enable_http_endpoint=False) + + http_route_mock.assert_not_called() + agent_entity_mock.assert_called_once_with(mock_agent, "DisabledOverride", ANY) + assert app.agent_http_endpoint_flags["DisabledOverride"] is False + + def test_multiple_apps_independent(self) -> None: + """Test that multiple AgentFunctionApp instances are independent.""" + agent1 = Mock() + agent1.name = "Agent1" + agent2 = Mock() + agent2.name = "Agent2" + + app1 = AgentFunctionApp(agents=[agent1]) + app2 = AgentFunctionApp(agents=[agent2]) + + assert app1.agents["Agent1"].name == "Agent1" + assert app2.agents["Agent2"].name == "Agent2" + assert "Agent1" in app1.agents + assert "Agent2" in app2.agents + + +class TestWaitForCompletionAndCorrelationId: + """Tests for wait_for_completion flag and correlation ID handling.""" + + def _create_app(self) -> AgentFunctionApp: + mock_agent = Mock() + mock_agent.__class__.__name__ = "MockAgent" + mock_agent.name = "MockAgent" + return AgentFunctionApp(agents=[mock_agent], enable_health_check=False) + + def _make_request( + self, + headers: dict[str, str] | None = None, + params: dict[str, str] | None = None, + ) -> Mock: + request = Mock() + request.headers = headers or {} + request.params = params or {} + return request + + def test_wait_for_completion_header_true(self) -> None: + """Test that the wait-for-completion header is honored.""" + app = self._create_app() + request = self._make_request(headers={"X-Wait-For-Completion": "true"}) + + assert app._should_wait_for_completion(request, {}) is True + + def test_wait_for_completion_body_variants(self) -> None: + """Test that multiple payload spellings are accepted.""" + app = self._create_app() + request = self._make_request() + + assert app._should_wait_for_completion(request, {"wait_for_completion": "true"}) is True + assert app._should_wait_for_completion(request, {"waitForCompletion": "1"}) is True + assert app._should_wait_for_completion(request, {"WaitForCompletion": "no"}) is False + + +class TestAgentEntityOperations: + """Test suite for entity operations.""" + + async def test_entity_run_agent_operation(self) -> None: + """Test that entity can run agent operation.""" + mock_agent = Mock() + mock_agent.run = AsyncMock( + return_value=AgentRunResponse(messages=[ChatMessage(role="assistant", text="Test response")]) + ) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, + {"message": "Test message", "conversation_id": "test-conv-123", "correlation_id": "corr-app-entity-1"}, + ) + + assert result["status"] == "success" + assert result["response"] == "Test response" + assert result["message"] == "Test message" + assert result["conversation_id"] == "test-conv-123" + assert entity.state.message_count == 1 + + async def test_entity_stores_conversation_history(self) -> None: + """Test that the entity stores conversation history.""" + mock_agent = Mock() + mock_agent.run = AsyncMock( + return_value=AgentRunResponse(messages=[ChatMessage(role="assistant", text="Response 1")]) + ) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + # Send first message + await entity.run_agent( + mock_context, {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-app-entity-2"} + ) + + history = entity.state.conversation_history + assert len(history) == 2 # User + assistant + + user_msg = history[0] + user_role = getattr(user_msg.role, "value", user_msg.role) + assert user_role == "user" + assert user_msg.text == "Message 1" + + assistant_msg = history[1] + assistant_role = getattr(assistant_msg.role, "value", assistant_msg.role) + assert assistant_role == "assistant" + assert assistant_msg.text == "Response 1" + + async def test_entity_increments_message_count(self) -> None: + """Test that the entity increments the message count.""" + mock_agent = Mock() + mock_agent.run = AsyncMock( + return_value=AgentRunResponse(messages=[ChatMessage(role="assistant", text="Response")]) + ) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + assert entity.state.message_count == 0 + + await entity.run_agent( + mock_context, {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-app-entity-3a"} + ) + assert entity.state.message_count == 1 + + await entity.run_agent( + mock_context, {"message": "Message 2", "conversation_id": "conv-1", "correlation_id": "corr-app-entity-3b"} + ) + assert entity.state.message_count == 2 + + def test_entity_reset(self) -> None: + """Test that entity reset clears state.""" + mock_agent = Mock() + entity = AgentEntity(mock_agent) + + # Set some state + entity.state.message_count = 10 + entity.state.last_response = "Some response" + entity.state.conversation_history = [ + ChatMessage(role="user", text="test", additional_properties={"timestamp": "2024-01-01T00:00:00Z"}) + ] + + # Reset + mock_context = Mock() + entity.reset(mock_context) + + assert entity.state.message_count == 0 + assert entity.state.last_response is None + assert len(entity.state.conversation_history) == 0 + + +class TestAgentEntityFactory: + """Test suite for the entity factory function.""" + + def test_create_agent_entity_returns_function(self) -> None: + """Test that create_agent_entity returns a function.""" + mock_agent = Mock() + entity_function = create_agent_entity(mock_agent) + + assert callable(entity_function) + + def test_entity_function_handles_run_agent_operation(self) -> None: + """Test that the entity function handles the run_agent operation.""" + mock_agent = Mock() + mock_agent.run = AsyncMock( + return_value=AgentRunResponse(messages=[ChatMessage(role="assistant", text="Response")]) + ) + + entity_function = create_agent_entity(mock_agent) + + # Mock context + mock_context = Mock() + mock_context.operation_name = "run_agent" + mock_context.get_input.return_value = { + "message": "Test message", + "conversation_id": "conv-123", + "correlation_id": "corr-app-factory-1", + } + mock_context.get_state.return_value = None + + # Execute entity function + entity_function(mock_context) + + # Verify result was set + assert mock_context.set_result.called + assert mock_context.set_state.called + + def test_entity_function_handles_reset_operation(self) -> None: + """Test that the entity function handles the reset operation.""" + mock_agent = Mock() + entity_function = create_agent_entity(mock_agent) + + # Mock context + mock_context = Mock() + mock_context.operation_name = "reset" + mock_context.get_state.return_value = { + "message_count": 5, + "conversation_history": [{"role": "user", "content": "test"}], + "last_response": "Test", + } + + # Execute entity function + entity_function(mock_context) + + # Verify result was set + assert mock_context.set_result.called + result_call = mock_context.set_result.call_args[0][0] + assert result_call["status"] == "reset" + + def test_entity_function_handles_unknown_operation(self) -> None: + """Test that the entity function handles an unknown operation.""" + mock_agent = Mock() + entity_function = create_agent_entity(mock_agent) + + # Mock context with unknown operation + mock_context = Mock() + mock_context.operation_name = "unknown_operation" + mock_context.get_state.return_value = None + + # Execute entity function + entity_function(mock_context) + + # Verify error result was set + assert mock_context.set_result.called + result_call = mock_context.set_result.call_args[0][0] + assert "error" in result_call + assert "unknown_operation" in result_call["error"] + + def test_entity_function_restores_state(self) -> None: + """Test that the entity function restores state from the context.""" + mock_agent = Mock() + entity_function = create_agent_entity(mock_agent) + + # Mock context with existing state + existing_state = { + "message_count": 3, + "conversation_history": [{"role": "user", "content": "msg1"}, {"role": "assistant", "content": "resp1"}], + "last_response": "resp1", + } + + mock_context = Mock() + mock_context.operation_name = "reset" + mock_context.get_state.return_value = existing_state + + with patch.object(AgentState, "restore_state") as restore_state_mock: + entity_function(mock_context) + + restore_state_mock.assert_called_once_with(existing_state) + + +class TestErrorHandling: + """Test suite for error handling.""" + + async def test_entity_handles_agent_error(self) -> None: + """Test that the entity handles agent execution errors.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(side_effect=Exception("Agent error")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, {"message": "Test message", "conversation_id": "conv-1", "correlation_id": "corr-app-error-1"} + ) + + assert result["status"] == "error" + assert "error" in result + assert "Agent error" in result["error"] + assert result["error_type"] == "Exception" + + def test_entity_function_handles_exception(self) -> None: + """Test that the entity function handles exceptions gracefully.""" + mock_agent = Mock() + # Force an exception by making get_input fail + mock_agent.run = AsyncMock(side_effect=Exception("Test error")) + + entity_function = create_agent_entity(mock_agent) + + mock_context = Mock() + mock_context.operation_name = "run_agent" + mock_context.get_input.side_effect = Exception("Input error") + mock_context.get_state.return_value = None + + # Execute entity function - should not raise + entity_function(mock_context) + + # Verify error result was set + assert mock_context.set_result.called + result_call = mock_context.set_result.call_args[0][0] + assert "error" in result_call + + +class TestIncomingRequestParsing: + """Tests for parsing run requests with JSON and plain text bodies.""" + + def _create_app(self) -> AgentFunctionApp: + mock_agent = Mock() + mock_agent.name = "ParserAgent" + return AgentFunctionApp(agents=[mock_agent], enable_health_check=False) + + def test_parse_plain_text_body(self) -> None: + """Test parsing a plain-text request body.""" + app = self._create_app() + + request = Mock() + request.get_json.side_effect = ValueError("Invalid JSON") + request.get_body.return_value = b"Plain text message" + + req_body, message = app._parse_incoming_request(request) + + assert req_body == {} + assert message == "Plain text message" + + def test_parse_plain_text_requires_content(self) -> None: + """Test that plain-text requests require message content.""" + app = self._create_app() + + request = Mock() + request.get_json.side_effect = ValueError("Invalid JSON") + request.get_body.return_value = b" " + + with pytest.raises(IncomingRequestError) as exc_info: + app._parse_incoming_request(request) + + assert "Message is required" in str(exc_info.value) + + def test_extract_session_key_from_query_params(self) -> None: + """Test session key extraction from query parameters.""" + app = self._create_app() + + request = Mock() + request.params = {"sessionId": "query-session"} + req_body = {} + + session_key = app._resolve_session_key(request, req_body) + + assert session_key == "query-session" + + +class TestHttpRunRoute: + """Tests for the HTTP run route behavior.""" + + async def test_http_run_accepts_plain_text(self) -> None: + """Test that the HTTP handler accepts plain-text requests.""" + mock_agent = Mock() + mock_agent.name = "HttpAgent" + + captured_handlers: dict[str | None, Callable[..., Awaitable[func.HttpResponse]]] = {} + + def capture_decorator(*args: Any, **kwargs: Any) -> Callable[[TFunc], TFunc]: + def decorator(func: TFunc) -> TFunc: + return func + + return decorator + + def capture_route(*args: Any, **kwargs: Any) -> Callable[[TFunc], TFunc]: + def decorator(func: TFunc) -> TFunc: + route_key = kwargs.get("route") if kwargs else None + captured_handlers[route_key] = func + return func + + return decorator + + with ( + patch.object(AgentFunctionApp, "function_name", new=capture_decorator), + patch.object(AgentFunctionApp, "route", new=capture_route), + patch.object(AgentFunctionApp, "durable_client_input", new=capture_decorator), + patch.object(AgentFunctionApp, "entity_trigger", new=capture_decorator), + ): + AgentFunctionApp(agents=[mock_agent], enable_health_check=False) + + run_route = f"agents/{mock_agent.name}/run" + handler = captured_handlers[run_route] + + request = Mock() + request.headers = {} + request.params = {} + request.route_params = {} + request.get_json.side_effect = ValueError("Invalid JSON") + request.get_body.return_value = b"Plain text via HTTP" + + client = AsyncMock() + + response = await handler(request, client) + + assert response.status_code == 202 + + signal_args = client.signal_entity.call_args[0] + run_request = signal_args[2] + + assert run_request["message"] == "Plain text via HTTP" + assert run_request["role"] == "user" + + +if __name__ == "__main__": + pytest.main([__file__, "-v", "--tb=short"]) diff --git a/python/packages/azurefunctions/tests/test_entities.py b/python/packages/azurefunctions/tests/test_entities.py new file mode 100644 index 0000000000..cc67842a2b --- /dev/null +++ b/python/packages/azurefunctions/tests/test_entities.py @@ -0,0 +1,904 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Unit tests for AgentEntity and entity operations. + +Run with: pytest tests/test_entities.py -v +""" + +import asyncio +from collections.abc import AsyncIterator, Callable +from datetime import datetime +from typing import Any, TypeVar +from unittest.mock import AsyncMock, Mock, patch + +import pytest +from agent_framework import AgentRunResponse, AgentRunResponseUpdate, ChatMessage +from pydantic import BaseModel + +from agent_framework_azurefunctions._entities import AgentEntity, create_agent_entity +from agent_framework_azurefunctions._models import ChatRole, RunRequest +from agent_framework_azurefunctions._state import AgentState + +TFunc = TypeVar("TFunc", bound=Callable[..., Any]) + + +def _role_value(chat_message: ChatMessage) -> str: + """Helper to extract the string role from a ChatMessage.""" + role = getattr(chat_message, "role", None) + role_value = getattr(role, "value", role) + if role_value is None: + return "" + return str(role_value) + + +def _agent_response(text: str | None) -> AgentRunResponse: + """Create an AgentRunResponse with a single assistant message.""" + message = ( + ChatMessage(role="assistant", text=text) if text is not None else ChatMessage(role="assistant", contents=[]) + ) + return AgentRunResponse(messages=[message]) + + +class RecordingCallback: + """Callback implementation capturing streaming and final responses for assertions.""" + + def __init__(self): + self.stream_mock = AsyncMock() + self.response_mock = AsyncMock() + + async def on_streaming_response_update( + self, + update: AgentRunResponseUpdate, + context: Any, + ) -> None: + await self.stream_mock(update, context) + + async def on_agent_response(self, response: AgentRunResponse, context: Any) -> None: + await self.response_mock(response, context) + + +class EntityStructuredResponse(BaseModel): + answer: float + + +class TestAgentEntityInit: + """Test suite for AgentEntity initialization.""" + + def test_init_creates_entity(self) -> None: + """Test that AgentEntity initializes correctly.""" + mock_agent = Mock() + + entity = AgentEntity(mock_agent) + + assert entity.agent == mock_agent + assert entity.state.conversation_history == [] + assert entity.state.last_response is None + assert entity.state.message_count == 0 + + def test_init_stores_agent_reference(self) -> None: + """Test that the agent reference is stored correctly.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + entity = AgentEntity(mock_agent) + + assert entity.agent.name == "TestAgent" + + def test_init_with_different_agent_types(self) -> None: + """Test initialization with different agent types.""" + agent1 = Mock() + agent1.__class__.__name__ = "AzureOpenAIAgent" + + agent2 = Mock() + agent2.__class__.__name__ = "CustomAgent" + + entity1 = AgentEntity(agent1) + entity2 = AgentEntity(agent2) + + assert entity1.agent.__class__.__name__ == "AzureOpenAIAgent" + assert entity2.agent.__class__.__name__ == "CustomAgent" + + +class TestAgentEntityRunAgent: + """Test suite for the run_agent operation.""" + + async def test_run_agent_executes_agent(self) -> None: + """Test that run_agent executes the agent.""" + mock_agent = Mock() + mock_response = _agent_response("Test response") + mock_agent.run = AsyncMock(return_value=mock_response) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, {"message": "Test message", "conversation_id": "conv-123", "correlation_id": "corr-entity-1"} + ) + + # Verify agent.run was called + mock_agent.run.assert_called_once() + _, kwargs = mock_agent.run.call_args + sent_messages = kwargs.get("messages") + assert isinstance(sent_messages, list) + assert len(sent_messages) == 1 + sent_message = sent_messages[0] + assert isinstance(sent_message, ChatMessage) + assert sent_message.text == "Test message" + assert _role_value(sent_message) == "user" + + # Verify result + assert result["status"] == "success" + assert result["response"] == "Test response" + assert result["message"] == "Test message" + assert result["conversation_id"] == "conv-123" + + async def test_run_agent_streaming_callbacks_invoked(self) -> None: + """Ensure streaming updates trigger callbacks and run() is not used.""" + + updates = [ + AgentRunResponseUpdate(text="Hello"), + AgentRunResponseUpdate(text=" world"), + ] + + async def update_generator() -> AsyncIterator[AgentRunResponseUpdate]: + for update in updates: + yield update + + mock_agent = Mock() + mock_agent.name = "StreamingAgent" + mock_agent.run_stream = Mock(return_value=update_generator()) + mock_agent.run = AsyncMock(side_effect=AssertionError("run() should not be called when streaming succeeds")) + + callback = RecordingCallback() + entity = AgentEntity(mock_agent, callback=callback) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, + { + "message": "Tell me something", + "conversation_id": "session-1", + "correlation_id": "corr-stream-1", + }, + ) + + assert result["status"] == "success" + assert "Hello" in result.get("response", "") + assert callback.stream_mock.await_count == len(updates) + assert callback.response_mock.await_count == 1 + mock_agent.run.assert_not_called() + + # Validate callback arguments + stream_calls = callback.stream_mock.await_args_list + for expected_update, recorded_call in zip(updates, stream_calls, strict=True): + assert recorded_call.args[0] is expected_update + context = recorded_call.args[1] + assert context.agent_name == "StreamingAgent" + assert context.correlation_id == "corr-stream-1" + assert context.conversation_id == "session-1" + assert context.request_message == "Tell me something" + + final_call = callback.response_mock.await_args + assert final_call is not None + final_response, final_context = final_call.args + assert final_context.agent_name == "StreamingAgent" + assert final_context.correlation_id == "corr-stream-1" + assert final_context.conversation_id == "session-1" + assert final_context.request_message == "Tell me something" + assert getattr(final_response, "text", "").strip() + + async def test_run_agent_final_callback_without_streaming(self) -> None: + """Ensure the final callback fires even when streaming is unavailable.""" + + mock_agent = Mock() + mock_agent.name = "NonStreamingAgent" + mock_agent.run_stream = None + agent_response = _agent_response("Final response") + mock_agent.run = AsyncMock(return_value=agent_response) + + callback = RecordingCallback() + entity = AgentEntity(mock_agent, callback=callback) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, + { + "message": "Hi", + "conversation_id": "session-2", + "correlation_id": "corr-final-1", + }, + ) + + assert result["status"] == "success" + assert result.get("response") == "Final response" + assert callback.stream_mock.await_count == 0 + assert callback.response_mock.await_count == 1 + + final_call = callback.response_mock.await_args + assert final_call is not None + assert final_call.args[0] is agent_response + final_context = final_call.args[1] + assert final_context.agent_name == "NonStreamingAgent" + assert final_context.correlation_id == "corr-final-1" + assert final_context.conversation_id == "session-2" + assert final_context.request_message == "Hi" + + async def test_run_agent_updates_conversation_history(self) -> None: + """Test that run_agent updates the conversation history.""" + mock_agent = Mock() + mock_response = _agent_response("Agent response") + mock_agent.run = AsyncMock(return_value=mock_response) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + await entity.run_agent( + mock_context, {"message": "User message", "conversation_id": "conv-1", "correlation_id": "corr-entity-2"} + ) + + # Should have 2 entries: user message + assistant response + history = entity.state.conversation_history + + assert len(history) == 2 + + user_msg = history[0] + assert _role_value(user_msg) == "user" + assert user_msg.text == "User message" + + assistant_msg = history[1] + assert _role_value(assistant_msg) == "assistant" + assert assistant_msg.text == "Agent response" + + async def test_run_agent_increments_message_count(self) -> None: + """Test that run_agent increments the message count.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + assert entity.state.message_count == 0 + + await entity.run_agent( + mock_context, {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-entity-3a"} + ) + assert entity.state.message_count == 1 + + await entity.run_agent( + mock_context, {"message": "Message 2", "conversation_id": "conv-1", "correlation_id": "corr-entity-3b"} + ) + assert entity.state.message_count == 2 + + await entity.run_agent( + mock_context, {"message": "Message 3", "conversation_id": "conv-1", "correlation_id": "corr-entity-3c"} + ) + assert entity.state.message_count == 3 + + async def test_run_agent_stores_last_response(self) -> None: + """Test that run_agent stores the last response.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response 1")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + await entity.run_agent( + mock_context, {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-entity-4a"} + ) + assert entity.state.last_response == "Response 1" + + mock_agent.run = AsyncMock(return_value=_agent_response("Response 2")) + await entity.run_agent( + mock_context, {"message": "Message 2", "conversation_id": "conv-1", "correlation_id": "corr-entity-4b"} + ) + assert entity.state.last_response == "Response 2" + + async def test_run_agent_with_none_conversation_id(self) -> None: + """Test run_agent with a None conversation identifier.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + with pytest.raises(ValueError, match="conversation_id"): + await entity.run_agent( + mock_context, {"message": "Message", "conversation_id": None, "correlation_id": "corr-entity-5"} + ) + + async def test_run_agent_handles_response_without_text_attribute(self) -> None: + """Test that run_agent handles responses without a text attribute.""" + mock_agent = Mock() + + class NoTextResponse(AgentRunResponse): + @property + def text(self) -> str: # type: ignore[override] + raise AttributeError("text attribute missing") + + mock_response = NoTextResponse(messages=[ChatMessage(role="assistant", text="ignored")]) + mock_agent.run = AsyncMock(return_value=mock_response) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, {"message": "Message", "conversation_id": "conv-1", "correlation_id": "corr-entity-6"} + ) + + # Should handle gracefully + assert result["status"] == "success" + assert result["response"] == "Error extracting response" + + async def test_run_agent_handles_none_response_text(self) -> None: + """Test that run_agent handles responses with None text.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response(None)) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, {"message": "Message", "conversation_id": "conv-1", "correlation_id": "corr-entity-7"} + ) + + assert result["status"] == "success" + assert result["response"] == "No response" + + async def test_run_agent_multiple_conversations(self) -> None: + """Test that run_agent maintains history across multiple messages.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + # Send multiple messages + await entity.run_agent( + mock_context, {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-entity-8a"} + ) + await entity.run_agent( + mock_context, {"message": "Message 2", "conversation_id": "conv-1", "correlation_id": "corr-entity-8b"} + ) + await entity.run_agent( + mock_context, {"message": "Message 3", "conversation_id": "conv-1", "correlation_id": "corr-entity-8c"} + ) + + history = entity.state.conversation_history + assert len(history) == 6 + assert entity.state.message_count == 3 + + +class TestAgentEntityReset: + """Test suite for the reset operation.""" + + def test_reset_clears_conversation_history(self) -> None: + """Test that reset clears the conversation history.""" + mock_agent = Mock() + entity = AgentEntity(mock_agent) + + # Add some history + entity.state.conversation_history = [ + ChatMessage(role="user", text="msg1"), + ChatMessage(role="assistant", text="resp1"), + ] + + mock_context = Mock() + entity.reset(mock_context) + + assert entity.state.conversation_history == [] + + def test_reset_clears_last_response(self) -> None: + """Test that reset clears the last response.""" + mock_agent = Mock() + entity = AgentEntity(mock_agent) + + entity.state.last_response = "Some response" + + mock_context = Mock() + entity.reset(mock_context) + + assert entity.state.last_response is None + + def test_reset_clears_message_count(self) -> None: + """Test that reset clears the message count.""" + mock_agent = Mock() + entity = AgentEntity(mock_agent) + + entity.state.message_count = 10 + + mock_context = Mock() + entity.reset(mock_context) + + assert entity.state.message_count == 0 + + async def test_reset_after_conversation(self) -> None: + """Test reset after a full conversation.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + # Have a conversation + await entity.run_agent( + mock_context, {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-entity-10a"} + ) + await entity.run_agent( + mock_context, {"message": "Message 2", "conversation_id": "conv-1", "correlation_id": "corr-entity-10b"} + ) + + # Verify state before reset + assert entity.state.message_count == 2 + assert len(entity.state.conversation_history) == 4 + + # Reset + entity.reset(mock_context) + + # Verify state after reset + assert entity.state.message_count == 0 + assert len(entity.state.conversation_history) == 0 + assert entity.state.last_response is None + + +class TestCreateAgentEntity: + """Test suite for the create_agent_entity factory function.""" + + def test_create_agent_entity_returns_callable(self) -> None: + """Test that create_agent_entity returns a callable.""" + mock_agent = Mock() + + entity_function = create_agent_entity(mock_agent) + + assert callable(entity_function) + + def test_entity_function_handles_run_agent(self) -> None: + """Test that the entity function handles the run_agent operation.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity_function = create_agent_entity(mock_agent) + + # Mock context + mock_context = Mock() + mock_context.operation_name = "run_agent" + mock_context.get_input.return_value = { + "message": "Test message", + "conversation_id": "conv-123", + "correlation_id": "corr-entity-factory", + } + mock_context.get_state.return_value = None + + # Execute + entity_function(mock_context) + + # Verify result and state were set + assert mock_context.set_result.called + assert mock_context.set_state.called + + def test_entity_function_handles_reset(self) -> None: + """Test that the entity function handles the reset operation.""" + mock_agent = Mock() + + entity_function = create_agent_entity(mock_agent) + + # Mock context with existing state + mock_context = Mock() + mock_context.operation_name = "reset" + mock_context.get_state.return_value = { + "message_count": 5, + "conversation_history": [ + ChatMessage( + role="user", text="test", additional_properties={"timestamp": "2024-01-01T00:00:00Z"} + ).to_dict() + ], + "last_response": "Test", + } + + # Execute + entity_function(mock_context) + + # Verify reset result + assert mock_context.set_result.called + result = mock_context.set_result.call_args[0][0] + assert result["status"] == "reset" + + # Verify state was cleared + assert mock_context.set_state.called + state = mock_context.set_state.call_args[0][0] + assert state["message_count"] == 0 + assert state["conversation_history"] == [] + assert state["last_response"] is None + + def test_entity_function_handles_unknown_operation(self) -> None: + """Test that the entity function handles unknown operations.""" + mock_agent = Mock() + + entity_function = create_agent_entity(mock_agent) + + mock_context = Mock() + mock_context.operation_name = "invalid_operation" + mock_context.get_state.return_value = None + + # Execute + entity_function(mock_context) + + # Verify error result + assert mock_context.set_result.called + result = mock_context.set_result.call_args[0][0] + assert "error" in result + assert "invalid_operation" in result["error"].lower() + + def test_entity_function_creates_new_entity_on_first_call(self) -> None: + """Test that the entity function creates a new entity when no state exists.""" + mock_agent = Mock() + mock_agent.__class__.__name__ = "Agent" + + entity_function = create_agent_entity(mock_agent) + mock_context = Mock() + mock_context.operation_name = "reset" + mock_context.get_state.return_value = None # No existing state + + # Execute + entity_function(mock_context) + + # Verify new entity state was created + assert mock_context.set_result.called + result = mock_context.set_result.call_args[0][0] + assert result["status"] == "reset" + assert mock_context.set_state.called + state = mock_context.set_state.call_args[0][0] + assert state["message_count"] == 0 + assert state["conversation_history"] == [] + + def test_entity_function_restores_existing_state(self) -> None: + """Test that the entity function restores existing state.""" + mock_agent = Mock() + + entity_function = create_agent_entity(mock_agent) + + existing_state = { + "message_count": 5, + "conversation_history": [ + ChatMessage( + role="user", text="msg1", additional_properties={"timestamp": "2024-01-01T00:00:00Z"} + ).to_dict(), + ChatMessage( + role="assistant", text="resp1", additional_properties={"timestamp": "2024-01-01T00:05:00Z"} + ).to_dict(), + ], + "last_response": "resp1", + } + + mock_context = Mock() + mock_context.operation_name = "reset" + mock_context.get_state.return_value = existing_state + + with patch.object(AgentState, "restore_state") as restore_state_mock: + entity_function(mock_context) + + restore_state_mock.assert_called_once_with(existing_state) + + +class TestErrorHandling: + """Test suite for error handling in entities.""" + + async def test_run_agent_handles_agent_exception(self) -> None: + """Test that run_agent handles agent exceptions.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(side_effect=Exception("Agent failed")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, {"message": "Message", "conversation_id": "conv-1", "correlation_id": "corr-entity-error-1"} + ) + + assert result["status"] == "error" + assert "error" in result + assert "Agent failed" in result["error"] + assert result["error_type"] == "Exception" + + async def test_run_agent_handles_value_error(self) -> None: + """Test that run_agent handles ValueError instances.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(side_effect=ValueError("Invalid input")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, {"message": "Message", "conversation_id": "conv-1", "correlation_id": "corr-entity-error-2"} + ) + + assert result["status"] == "error" + assert result["error_type"] == "ValueError" + assert "Invalid input" in result["error"] + + async def test_run_agent_handles_timeout_error(self) -> None: + """Test that run_agent handles TimeoutError instances.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(side_effect=TimeoutError("Request timeout")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, {"message": "Message", "conversation_id": "conv-1", "correlation_id": "corr-entity-error-3"} + ) + + assert result["status"] == "error" + assert result["error_type"] == "TimeoutError" + + def test_entity_function_handles_exception_in_operation(self) -> None: + """Test that the entity function handles exceptions gracefully.""" + mock_agent = Mock() + + entity_function = create_agent_entity(mock_agent) + + mock_context = Mock() + mock_context.operation_name = "run_agent" + mock_context.get_input.side_effect = Exception("Input error") + mock_context.get_state.return_value = None + + # Execute - should not raise + entity_function(mock_context) + + # Verify error was set + assert mock_context.set_result.called + result = mock_context.set_result.call_args[0][0] + assert "error" in result + + async def test_run_agent_preserves_message_on_error(self) -> None: + """Test that run_agent preserves message information on error.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(side_effect=Exception("Error")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + result = await entity.run_agent( + mock_context, + {"message": "Test message", "conversation_id": "conv-123", "correlation_id": "corr-entity-error-4"}, + ) + + # Even on error, message info should be preserved + assert result["message"] == "Test message" + assert result["conversation_id"] == "conv-123" + assert result["status"] == "error" + + +class TestConversationHistory: + """Test suite for conversation history tracking.""" + + async def test_conversation_history_has_timestamps(self) -> None: + """Test that conversation history entries include timestamps.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + await entity.run_agent( + mock_context, {"message": "Message", "conversation_id": "conv-1", "correlation_id": "corr-entity-history-1"} + ) + + # Check both user and assistant messages have timestamps + for entry in entity.state.conversation_history: + timestamp = entry.additional_properties.get("timestamp") + assert timestamp is not None + # Verify timestamp is in ISO format + datetime.fromisoformat(timestamp) + + async def test_conversation_history_ordering(self) -> None: + """Test that conversation history maintains the correct order.""" + mock_agent = Mock() + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + # Send multiple messages with different responses + mock_agent.run = AsyncMock(return_value=_agent_response("Response 1")) + await entity.run_agent( + mock_context, + {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-entity-history-2a"}, + ) + + mock_agent.run = AsyncMock(return_value=_agent_response("Response 2")) + await entity.run_agent( + mock_context, + {"message": "Message 2", "conversation_id": "conv-1", "correlation_id": "corr-entity-history-2b"}, + ) + + mock_agent.run = AsyncMock(return_value=_agent_response("Response 3")) + await entity.run_agent( + mock_context, + {"message": "Message 3", "conversation_id": "conv-1", "correlation_id": "corr-entity-history-2c"}, + ) + + # Verify order + history = entity.state.conversation_history + assert history[0].text == "Message 1" + assert history[1].text == "Response 1" + assert history[2].text == "Message 2" + assert history[3].text == "Response 2" + assert history[4].text == "Message 3" + assert history[5].text == "Response 3" + + async def test_conversation_history_role_alternation(self) -> None: + """Test that conversation history alternates between user and assistant roles.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + await entity.run_agent( + mock_context, + {"message": "Message 1", "conversation_id": "conv-1", "correlation_id": "corr-entity-history-3a"}, + ) + await entity.run_agent( + mock_context, + {"message": "Message 2", "conversation_id": "conv-1", "correlation_id": "corr-entity-history-3b"}, + ) + + # Check role alternation + history = entity.state.conversation_history + assert _role_value(history[0]) == "user" + assert _role_value(history[1]) == "assistant" + assert _role_value(history[2]) == "user" + assert _role_value(history[3]) == "assistant" + + +class TestRunRequestSupport: + """Test suite for RunRequest support in entities.""" + + async def test_run_agent_with_run_request_object(self) -> None: + """Test run_agent with a RunRequest object.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + request = RunRequest( + message="Test message", + conversation_id="conv-123", + role=ChatRole.USER, + enable_tool_calls=True, + correlation_id="corr-runreq-1", + ) + + result = await entity.run_agent(mock_context, request) + + assert result["status"] == "success" + assert result["response"] == "Response" + assert result["message"] == "Test message" + assert result["conversation_id"] == "conv-123" + + async def test_run_agent_with_dict_request(self) -> None: + """Test run_agent with a dictionary request.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + request_dict = { + "message": "Test message", + "conversation_id": "conv-456", + "role": "system", + "enable_tool_calls": False, + "correlation_id": "corr-runreq-2", + } + + result = await entity.run_agent(mock_context, request_dict) + + assert result["status"] == "success" + assert result["message"] == "Test message" + assert result["conversation_id"] == "conv-456" + + async def test_run_agent_with_string_raises_without_correlation(self) -> None: + """Test that run_agent rejects legacy string input without correlation ID.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + with pytest.raises(ValueError): + await entity.run_agent(mock_context, "Simple message") + + async def test_run_agent_stores_role_in_history(self) -> None: + """Test that run_agent stores the role in conversation history.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + # Send as system role + request = RunRequest( + message="System message", + conversation_id="conv-runreq-3", + role=ChatRole.SYSTEM, + correlation_id="corr-runreq-3", + ) + + await entity.run_agent(mock_context, request) + + # Check that system role was stored + history = entity.state.conversation_history + assert _role_value(history[0]) == "system" + assert history[0].text == "System message" + + async def test_run_agent_with_response_format(self) -> None: + """Test run_agent with a JSON response format.""" + mock_agent = Mock() + # Return JSON response + mock_agent.run = AsyncMock(return_value=_agent_response('{"answer": 42}')) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + request = RunRequest( + message="What is the answer?", + conversation_id="conv-runreq-4", + response_format=EntityStructuredResponse, + correlation_id="corr-runreq-4", + ) + + result = await entity.run_agent(mock_context, request) + + assert result["status"] == "success" + # Should have structured_response + if "structured_response" in result: + assert result["structured_response"]["answer"] == 42 + + async def test_run_agent_disable_tool_calls(self) -> None: + """Test run_agent with tool calls disabled.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity = AgentEntity(mock_agent) + mock_context = Mock() + + request = RunRequest( + message="Test", conversation_id="conv-runreq-5", enable_tool_calls=False, correlation_id="corr-runreq-5" + ) + + result = await entity.run_agent(mock_context, request) + + assert result["status"] == "success" + # Agent should have been called (tool disabling is framework-dependent) + mock_agent.run.assert_called_once() + + async def test_entity_function_with_run_request_dict(self) -> None: + """Test that the entity function handles the RunRequest dict format.""" + mock_agent = Mock() + mock_agent.run = AsyncMock(return_value=_agent_response("Response")) + + entity_function = create_agent_entity(mock_agent) + + mock_context = Mock() + mock_context.operation_name = "run_agent" + mock_context.get_input.return_value = { + "message": "Test message", + "conversation_id": "conv-789", + "role": "user", + "enable_tool_calls": True, + "correlation_id": "corr-runreq-6", + } + mock_context.get_state.return_value = None + + await asyncio.to_thread(entity_function, mock_context) + + # Verify result was set + assert mock_context.set_result.called + result = mock_context.set_result.call_args[0][0] + assert result["status"] == "success" + assert result["message"] == "Test message" + + +if __name__ == "__main__": + pytest.main([__file__, "-v", "--tb=short"]) diff --git a/python/packages/azurefunctions/tests/test_models.py b/python/packages/azurefunctions/tests/test_models.py new file mode 100644 index 0000000000..916bdb358a --- /dev/null +++ b/python/packages/azurefunctions/tests/test_models.py @@ -0,0 +1,478 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Unit tests for data models (AgentSessionId, RunRequest, AgentResponse, ChatRole).""" + +import azure.durable_functions as df +import pytest +from pydantic import BaseModel + +from agent_framework_azurefunctions._models import AgentResponse, AgentSessionId, ChatRole, RunRequest + + +class ModuleStructuredResponse(BaseModel): + value: int + + +class TestChatRole: + """Test suite for ChatRole enum.""" + + def test_chat_role_values(self) -> None: + """Test that ChatRole has correct values.""" + assert ChatRole.USER == "user" + assert ChatRole.SYSTEM == "system" + assert ChatRole.ASSISTANT == "assistant" + + def test_chat_role_is_string(self) -> None: + """Test that ChatRole values are strings.""" + assert isinstance(ChatRole.USER.value, str) + assert isinstance(ChatRole.SYSTEM.value, str) + assert isinstance(ChatRole.ASSISTANT.value, str) + + +class TestAgentSessionId: + """Test suite for AgentSessionId.""" + + def test_init_creates_session_id(self) -> None: + """Test that AgentSessionId initializes correctly.""" + session_id = AgentSessionId(name="AgentEntity", key="test-key-123") + + assert session_id.name == "AgentEntity" + assert session_id.key == "test-key-123" + + def test_with_random_key_generates_guid(self) -> None: + """Test that with_random_key generates a GUID.""" + session_id = AgentSessionId.with_random_key(name="AgentEntity") + + assert session_id.name == "AgentEntity" + assert len(session_id.key) == 32 # UUID hex is 32 chars + # Verify it's a valid hex string + int(session_id.key, 16) + + def test_with_random_key_unique_keys(self) -> None: + """Test that with_random_key generates unique keys.""" + session_id1 = AgentSessionId.with_random_key(name="AgentEntity") + session_id2 = AgentSessionId.with_random_key(name="AgentEntity") + + assert session_id1.key != session_id2.key + + def test_to_entity_id_conversion(self) -> None: + """Test conversion to EntityId.""" + session_id = AgentSessionId(name="AgentEntity", key="test-key") + entity_id = session_id.to_entity_id() + + assert isinstance(entity_id, df.EntityId) + assert entity_id.name == "dafx-AgentEntity" + assert entity_id.key == "test-key" + + def test_from_entity_id_conversion(self) -> None: + """Test creation from EntityId.""" + entity_id = df.EntityId(name="dafx-AgentEntity", key="test-key") + session_id = AgentSessionId.from_entity_id(entity_id) + + assert isinstance(session_id, AgentSessionId) + assert session_id.name == "AgentEntity" + assert session_id.key == "test-key" + + def test_round_trip_entity_id_conversion(self) -> None: + """Test round-trip conversion to and from EntityId.""" + original = AgentSessionId(name="AgentEntity", key="test-key") + entity_id = original.to_entity_id() + restored = AgentSessionId.from_entity_id(entity_id) + + assert restored.name == original.name + assert restored.key == original.key + + def test_str_representation(self) -> None: + """Test string representation.""" + session_id = AgentSessionId(name="AgentEntity", key="test-key-123") + str_repr = str(session_id) + + assert str_repr == "@AgentEntity@test-key-123" + + def test_repr_representation(self) -> None: + """Test repr representation.""" + session_id = AgentSessionId(name="AgentEntity", key="test-key") + repr_str = repr(session_id) + + assert "AgentSessionId" in repr_str + assert "AgentEntity" in repr_str + assert "test-key" in repr_str + + def test_parse_valid_session_id(self) -> None: + """Test parsing valid session ID string.""" + session_id = AgentSessionId.parse("@AgentEntity@test-key-123") + + assert session_id.name == "AgentEntity" + assert session_id.key == "test-key-123" + + def test_parse_invalid_format_no_prefix(self) -> None: + """Test parsing invalid format without @ prefix.""" + with pytest.raises(ValueError) as exc_info: + AgentSessionId.parse("AgentEntity@test-key") + + assert "Invalid agent session ID format" in str(exc_info.value) + + def test_parse_invalid_format_single_part(self) -> None: + """Test parsing invalid format with single part.""" + with pytest.raises(ValueError) as exc_info: + AgentSessionId.parse("@AgentEntity") + + assert "Invalid agent session ID format" in str(exc_info.value) + + def test_parse_with_multiple_at_signs_in_key(self) -> None: + """Test parsing with @ signs in the key.""" + session_id = AgentSessionId.parse("@AgentEntity@key-with@symbols") + + assert session_id.name == "AgentEntity" + assert session_id.key == "key-with@symbols" + + def test_parse_round_trip(self) -> None: + """Test round-trip parse and string conversion.""" + original = AgentSessionId(name="AgentEntity", key="test-key") + str_repr = str(original) + parsed = AgentSessionId.parse(str_repr) + + assert parsed.name == original.name + assert parsed.key == original.key + + def test_to_entity_name_adds_prefix(self) -> None: + """Test that to_entity_name adds the dafx- prefix.""" + entity_name = AgentSessionId.to_entity_name("TestAgent") + assert entity_name == "dafx-TestAgent" + + def test_from_entity_id_strips_prefix(self) -> None: + """Test that from_entity_id strips the dafx- prefix.""" + entity_id = df.EntityId(name="dafx-TestAgent", key="key123") + session_id = AgentSessionId.from_entity_id(entity_id) + + assert session_id.name == "TestAgent" + assert session_id.key == "key123" + + def test_from_entity_id_raises_without_prefix(self) -> None: + """Test that from_entity_id raises ValueError when entity name lacks the prefix.""" + entity_id = df.EntityId(name="TestAgent", key="key123") + + with pytest.raises(ValueError) as exc_info: + AgentSessionId.from_entity_id(entity_id) + + assert "not a valid agent session ID" in str(exc_info.value) + assert "dafx-" in str(exc_info.value) + + +class TestRunRequest: + """Test suite for RunRequest.""" + + def test_init_with_defaults(self) -> None: + """Test RunRequest initialization with defaults.""" + request = RunRequest(message="Hello", conversation_id="conv-default") + + assert request.message == "Hello" + assert request.role == ChatRole.USER + assert request.response_format is None + assert request.enable_tool_calls is True + assert request.conversation_id == "conv-default" + + def test_init_with_all_fields(self) -> None: + """Test RunRequest initialization with all fields.""" + schema = ModuleStructuredResponse + request = RunRequest( + message="Hello", + conversation_id="conv-123", + role=ChatRole.SYSTEM, + response_format=schema, + enable_tool_calls=False, + ) + + assert request.message == "Hello" + assert request.role == ChatRole.SYSTEM + assert request.response_format is schema + assert request.enable_tool_calls is False + assert request.conversation_id == "conv-123" + + def test_to_dict_with_defaults(self) -> None: + """Test to_dict with default values.""" + request = RunRequest(message="Test message", conversation_id="conv-to-dict") + data = request.to_dict() + + assert data["message"] == "Test message" + assert data["enable_tool_calls"] is True + assert data["role"] == "user" + assert "response_format" not in data or data["response_format"] is None + assert data["conversation_id"] == "conv-to-dict" + + def test_to_dict_with_all_fields(self) -> None: + """Test to_dict with all fields.""" + schema = ModuleStructuredResponse + request = RunRequest( + message="Hello", + conversation_id="conv-456", + role=ChatRole.ASSISTANT, + response_format=schema, + enable_tool_calls=False, + ) + data = request.to_dict() + + assert data["message"] == "Hello" + assert data["role"] == "assistant" + assert data["response_format"]["__response_schema_type__"] == "pydantic_model" + assert data["response_format"]["module"] == schema.__module__ + assert data["response_format"]["qualname"] == schema.__qualname__ + assert data["enable_tool_calls"] is False + assert data["conversation_id"] == "conv-456" + + def test_from_dict_with_defaults(self) -> None: + """Test from_dict with minimal data.""" + data = {"message": "Hello", "conversation_id": "conv-from-dict"} + request = RunRequest.from_dict(data) + + assert request.message == "Hello" + assert request.role == ChatRole.USER + assert request.enable_tool_calls is True + assert request.conversation_id == "conv-from-dict" + + def test_from_dict_with_all_fields(self) -> None: + """Test from_dict with all fields.""" + data = { + "message": "Test", + "role": "system", + "response_format": { + "__response_schema_type__": "pydantic_model", + "module": ModuleStructuredResponse.__module__, + "qualname": ModuleStructuredResponse.__qualname__, + }, + "enable_tool_calls": False, + "conversation_id": "conv-789", + } + request = RunRequest.from_dict(data) + + assert request.message == "Test" + assert request.role == ChatRole.SYSTEM + assert request.response_format is ModuleStructuredResponse + assert request.enable_tool_calls is False + assert request.conversation_id == "conv-789" + + def test_from_dict_invalid_role_defaults_to_user(self) -> None: + """Test from_dict with invalid role defaults to USER.""" + data = {"message": "Test", "role": "invalid_role", "conversation_id": "conv-invalid-role"} + request = RunRequest.from_dict(data) + + assert request.role == ChatRole.USER + + def test_from_dict_empty_message(self) -> None: + """Test from_dict with empty message.""" + data = {"conversation_id": "conv-empty"} + request = RunRequest.from_dict(data) + + assert request.message == "" + assert request.role == ChatRole.USER + assert request.conversation_id == "conv-empty" + + def test_round_trip_dict_conversion(self) -> None: + """Test round-trip to_dict and from_dict.""" + original = RunRequest( + message="Test message", + conversation_id="conv-123", + role=ChatRole.SYSTEM, + response_format=ModuleStructuredResponse, + enable_tool_calls=False, + ) + + data = original.to_dict() + restored = RunRequest.from_dict(data) + + assert restored.message == original.message + assert restored.role == original.role + assert restored.response_format is ModuleStructuredResponse + assert restored.enable_tool_calls == original.enable_tool_calls + assert restored.conversation_id == original.conversation_id + + def test_round_trip_with_pydantic_response_format(self) -> None: + """Ensure Pydantic response formats serialize and deserialize properly.""" + original = RunRequest( + message="Structured", + conversation_id="conv-pydantic", + response_format=ModuleStructuredResponse, + ) + + data = original.to_dict() + + assert data["response_format"]["__response_schema_type__"] == "pydantic_model" + assert data["response_format"]["module"] == ModuleStructuredResponse.__module__ + assert data["response_format"]["qualname"] == ModuleStructuredResponse.__qualname__ + + restored = RunRequest.from_dict(data) + assert restored.response_format is ModuleStructuredResponse + + def test_init_with_correlation_id(self) -> None: + """Test RunRequest initialization with correlation_id.""" + request = RunRequest(message="Test message", conversation_id="conv-corr-init", correlation_id="corr-123") + + assert request.message == "Test message" + assert request.correlation_id == "corr-123" + + def test_to_dict_with_correlation_id(self) -> None: + """Test to_dict includes correlation_id.""" + request = RunRequest(message="Test", conversation_id="conv-corr-to-dict", correlation_id="corr-456") + data = request.to_dict() + + assert data["message"] == "Test" + assert data["correlation_id"] == "corr-456" + + def test_from_dict_with_correlation_id(self) -> None: + """Test from_dict with correlation_id.""" + data = {"message": "Test", "correlation_id": "corr-789", "conversation_id": "conv-corr-from-dict"} + request = RunRequest.from_dict(data) + + assert request.message == "Test" + assert request.correlation_id == "corr-789" + assert request.conversation_id == "conv-corr-from-dict" + + def test_round_trip_with_correlation_id(self) -> None: + """Test round-trip to_dict and from_dict with correlation_id.""" + original = RunRequest( + message="Test message", + conversation_id="conv-123", + role=ChatRole.SYSTEM, + correlation_id="corr-123", + ) + + data = original.to_dict() + restored = RunRequest.from_dict(data) + + assert restored.message == original.message + assert restored.role == original.role + assert restored.correlation_id == original.correlation_id + assert restored.conversation_id == original.conversation_id + + +class TestAgentResponse: + """Test suite for AgentResponse.""" + + def test_init_with_required_fields(self) -> None: + """Test AgentResponse initialization with required fields.""" + response = AgentResponse( + response="Test response", message="Test message", conversation_id="conv-123", status="success" + ) + + assert response.response == "Test response" + assert response.message == "Test message" + assert response.conversation_id == "conv-123" + assert response.status == "success" + assert response.message_count == 0 + assert response.error is None + assert response.error_type is None + assert response.structured_response is None + + def test_init_with_all_fields(self) -> None: + """Test AgentResponse initialization with all fields.""" + structured = {"answer": "42"} + response = AgentResponse( + response=None, + message="What is the answer?", + conversation_id="conv-456", + status="success", + message_count=5, + error=None, + error_type=None, + structured_response=structured, + ) + + assert response.response is None + assert response.structured_response == structured + assert response.message_count == 5 + + def test_to_dict_with_text_response(self) -> None: + """Test to_dict with text response.""" + response = AgentResponse( + response="Text response", message="Message", conversation_id="conv-1", status="success", message_count=3 + ) + data = response.to_dict() + + assert data["response"] == "Text response" + assert data["message"] == "Message" + assert data["conversation_id"] == "conv-1" + assert data["status"] == "success" + assert data["message_count"] == 3 + assert "structured_response" not in data + assert "error" not in data + assert "error_type" not in data + + def test_to_dict_with_structured_response(self) -> None: + """Test to_dict with structured response.""" + structured = {"answer": 42, "confidence": 0.95} + response = AgentResponse( + response=None, + message="Question", + conversation_id="conv-2", + status="success", + structured_response=structured, + ) + data = response.to_dict() + + assert data["structured_response"] == structured + assert "response" not in data + + def test_to_dict_with_error(self) -> None: + """Test to_dict with error.""" + response = AgentResponse( + response=None, + message="Failed message", + conversation_id="conv-3", + status="error", + error="Something went wrong", + error_type="ValueError", + ) + data = response.to_dict() + + assert data["status"] == "error" + assert data["error"] == "Something went wrong" + assert data["error_type"] == "ValueError" + + def test_to_dict_prefers_structured_over_text(self) -> None: + """Test to_dict prefers structured_response over response.""" + structured = {"result": "structured"} + response = AgentResponse( + response="Text response", + message="Message", + conversation_id="conv-4", + status="success", + structured_response=structured, + ) + data = response.to_dict() + + assert "structured_response" in data + assert data["structured_response"] == structured + # Text response should not be included when structured is present + assert "response" not in data + + +class TestModelIntegration: + """Test suite for integration between models.""" + + def test_run_request_with_session_id(self) -> None: + """Test using RunRequest with AgentSessionId.""" + session_id = AgentSessionId.with_random_key("AgentEntity") + request = RunRequest(message="Test message", conversation_id=str(session_id)) + + assert request.conversation_id is not None + assert request.conversation_id == str(session_id) + assert request.conversation_id.startswith("@AgentEntity@") + + def test_response_from_run_request(self) -> None: + """Test creating AgentResponse from RunRequest.""" + request = RunRequest(message="What is 2+2?", conversation_id="conv-123", role=ChatRole.USER) + + response = AgentResponse( + response="4", + message=request.message, + conversation_id=request.conversation_id, + status="success", + message_count=1, + ) + + assert response.message == request.message + assert response.conversation_id == request.conversation_id + + +if __name__ == "__main__": + pytest.main([__file__, "-v", "--tb=short"]) diff --git a/python/packages/azurefunctions/tests/test_multi_agent.py b/python/packages/azurefunctions/tests/test_multi_agent.py new file mode 100644 index 0000000000..0c0be7f35d --- /dev/null +++ b/python/packages/azurefunctions/tests/test_multi_agent.py @@ -0,0 +1,150 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Unit tests for multi-agent support in AgentFunctionApp.""" + +from unittest.mock import Mock + +import pytest + +from agent_framework_azurefunctions import AgentFunctionApp + + +class TestMultiAgentInit: + """Test suite for multi-agent initialization.""" + + def test_init_with_agents_list(self) -> None: + """Test initialization with list of agents.""" + agent1 = Mock() + agent1.name = "Agent1" + agent2 = Mock() + agent2.name = "Agent2" + + app = AgentFunctionApp(agents=[agent1, agent2]) + + assert len(app.agents) == 2 + assert "Agent1" in app.agents + assert "Agent2" in app.agents + assert app.agents["Agent1"] == agent1 + assert app.agents["Agent2"] == agent2 + + def test_init_with_empty_agents_list(self) -> None: + """Test initialization with empty list of agents.""" + app = AgentFunctionApp(agents=[]) + + assert len(app.agents) == 0 + + def test_init_with_no_agents(self) -> None: + """Test initialization without any agents.""" + app = AgentFunctionApp() + + assert len(app.agents) == 0 + + def test_init_with_duplicate_agent_names(self) -> None: + """Test initialization with agents having the same name raises error.""" + agent1 = Mock() + agent1.name = "TestAgent" + agent2 = Mock() + agent2.name = "TestAgent" + + with pytest.raises(ValueError, match="already registered"): + AgentFunctionApp(agents=[agent1, agent2]) + + def test_init_with_agent_without_name(self) -> None: + """Test initialization with agent missing name attribute raises error.""" + agent1 = Mock() + agent1.name = "Agent1" + agent2 = Mock(spec=[]) # Mock without name attribute + + with pytest.raises(ValueError, match="does not have a 'name' attribute"): + AgentFunctionApp(agents=[agent1, agent2]) + + +class TestAddAgentMethod: + """Test suite for add_agent() method.""" + + def test_add_agent_to_empty_app(self) -> None: + """Test adding agent to app initialized without agents.""" + app = AgentFunctionApp() + + agent = Mock() + agent.name = "NewAgent" + + app.add_agent(agent) + + assert len(app.agents) == 1 + assert "NewAgent" in app.agents + assert app.agents["NewAgent"] == agent + + def test_add_multiple_agents(self) -> None: + """Test adding multiple agents sequentially.""" + app = AgentFunctionApp() + + agent1 = Mock() + agent1.name = "Agent1" + agent2 = Mock() + agent2.name = "Agent2" + + app.add_agent(agent1) + app.add_agent(agent2) + + assert len(app.agents) == 2 + assert "Agent1" in app.agents + assert "Agent2" in app.agents + + def test_add_agent_with_duplicate_name_raises_error(self) -> None: + """Test that adding agent with duplicate name raises ValueError.""" + agent1 = Mock() + agent1.name = "MyAgent" + agent2 = Mock() + agent2.name = "MyAgent" + + app = AgentFunctionApp(agents=[agent1]) + + # Try to add another agent with the same name + with pytest.raises(ValueError, match="already registered"): + app.add_agent(agent2) + + def test_add_agent_to_app_with_existing_agents(self) -> None: + """Test adding agent to app that already has agents.""" + agent1 = Mock() + agent1.name = "Agent1" + agent2 = Mock() + agent2.name = "Agent2" + + app = AgentFunctionApp(agents=[agent1]) + app.add_agent(agent2) + + assert len(app.agents) == 2 + assert "Agent1" in app.agents + assert "Agent2" in app.agents + + def test_add_agent_without_name_raises_error(self) -> None: + """Test that adding agent without name attribute raises error.""" + app = AgentFunctionApp() + + agent = Mock(spec=[]) # Mock without name attribute + + with pytest.raises(ValueError, match="does not have a 'name' attribute"): + app.add_agent(agent) + + +class TestHealthCheckWithMultipleAgents: + """Test suite for health check with multiple agents.""" + + def test_health_check_returns_all_agents(self) -> None: + """Test that health check returns information about all agents.""" + agent1 = Mock() + agent1.name = "Agent1" + agent2 = Mock() + agent2.name = "Agent2" + + app = AgentFunctionApp(agents=[agent1, agent2]) + + # Note: We can't easily test the actual health check endpoint without running the app + # But we can verify the agents dictionary is properly populated + assert len(app.agents) == 2 + assert app.enable_health_check is True + + +if __name__ == "__main__": + pytest.main([__file__, "-v", "--tb=short"]) diff --git a/python/packages/azurefunctions/tests/test_orchestration.py b/python/packages/azurefunctions/tests/test_orchestration.py new file mode 100644 index 0000000000..cebea00220 --- /dev/null +++ b/python/packages/azurefunctions/tests/test_orchestration.py @@ -0,0 +1,425 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Unit tests for orchestration support (DurableAIAgent).""" + +from typing import Any +from unittest.mock import Mock + +import pytest +from agent_framework import AgentThread + +from agent_framework_azurefunctions import DurableAIAgent, get_agent +from agent_framework_azurefunctions._models import AgentSessionId, DurableAgentThread + + +class TestDurableAIAgent: + """Test suite for DurableAIAgent wrapper.""" + + def test_init(self) -> None: + """Test DurableAIAgent initialization.""" + mock_context = Mock() + mock_context.instance_id = "test-instance-123" + + agent = DurableAIAgent(mock_context, "TestAgent") + + assert agent.context == mock_context + assert agent.agent_name == "TestAgent" + + def test_implements_agent_protocol(self) -> None: + """Test that DurableAIAgent implements AgentProtocol.""" + from agent_framework import AgentProtocol + + mock_context = Mock() + agent = DurableAIAgent(mock_context, "TestAgent") + + # Check that agent satisfies AgentProtocol + assert isinstance(agent, AgentProtocol) + + def test_has_agent_protocol_properties(self) -> None: + """Test that DurableAIAgent has AgentProtocol properties.""" + mock_context = Mock() + agent = DurableAIAgent(mock_context, "TestAgent") + + # AgentProtocol properties + assert hasattr(agent, "id") + assert hasattr(agent, "name") + assert hasattr(agent, "description") + assert hasattr(agent, "display_name") + + # Verify values + assert agent.name == "TestAgent" + assert agent.description == "Durable agent proxy for TestAgent" + assert agent.display_name == "TestAgent" + assert agent.id is not None # Auto-generated UUID + + def test_get_new_thread(self) -> None: + """Test creating a new agent thread.""" + mock_context = Mock() + mock_context.instance_id = "test-instance-456" + mock_context.new_uuid = Mock(return_value="test-guid-456") + + agent = DurableAIAgent(mock_context, "WriterAgent") + thread = agent.get_new_thread() + + assert isinstance(thread, DurableAgentThread) + assert thread.session_id is not None + session_id = thread.session_id + assert isinstance(session_id, AgentSessionId) + assert session_id.name == "WriterAgent" + assert session_id.key == "test-guid-456" + mock_context.new_uuid.assert_called_once() + + def test_get_new_thread_deterministic(self) -> None: + """Test that get_new_thread creates deterministic session IDs.""" + + mock_context = Mock() + mock_context.instance_id = "test-instance-789" + mock_context.new_uuid = Mock(side_effect=["session-guid-1", "session-guid-2"]) + + agent = DurableAIAgent(mock_context, "EditorAgent") + + # Create multiple threads - they should have unique session IDs + thread1 = agent.get_new_thread() + thread2 = agent.get_new_thread() + + assert isinstance(thread1, DurableAgentThread) + assert isinstance(thread2, DurableAgentThread) + + session_id1 = thread1.session_id + session_id2 = thread2.session_id + assert session_id1 is not None and session_id2 is not None + assert isinstance(session_id1, AgentSessionId) + assert isinstance(session_id2, AgentSessionId) + assert session_id1.name == "EditorAgent" + assert session_id2.name == "EditorAgent" + assert session_id1.key == "session-guid-1" + assert session_id2.key == "session-guid-2" + assert mock_context.new_uuid.call_count == 2 + + def test_run_creates_entity_call(self) -> None: + """Test that run() creates proper entity call and returns a Task.""" + mock_context = Mock() + mock_context.instance_id = "test-instance-001" + mock_context.new_uuid = Mock(side_effect=["thread-guid", "correlation-guid"]) + + # Mock call_entity to return a Task-like object + mock_task = Mock() + mock_task._is_scheduled = False # Task attribute that orchestration checks + + mock_context.call_entity = Mock(return_value=mock_task) + + agent = DurableAIAgent(mock_context, "TestAgent") + + # Create thread + thread = agent.get_new_thread() + + # Call run() - it should return the Task directly + task = agent.run(messages="Test message", thread=thread, enable_tool_calls=True) + + # Verify run() returns the Task from call_entity + assert task == mock_task + + # Verify call_entity was called with correct parameters + assert mock_context.call_entity.called + call_args = mock_context.call_entity.call_args + entity_id, operation, request = call_args[0] + + assert operation == "run_agent" + assert request["message"] == "Test message" + assert request["enable_tool_calls"] is True + assert "correlation_id" in request + assert request["correlation_id"] == "correlation-guid" + assert "conversation_id" in request + assert request["conversation_id"] == "thread-guid" + + def test_run_without_thread(self) -> None: + """Test that run() works without explicit thread (creates unique session key).""" + mock_context = Mock() + mock_context.instance_id = "test-instance-002" + # Two calls to new_uuid: one for session_key, one for correlation_id + mock_context.new_uuid = Mock(side_effect=["auto-generated-guid", "correlation-guid"]) + + mock_task = Mock() + mock_task._is_scheduled = False + mock_context.call_entity = Mock(return_value=mock_task) + + agent = DurableAIAgent(mock_context, "TestAgent") + + # Call without thread + task = agent.run(messages="Test message") + + assert task == mock_task + + # Verify the entity ID uses the auto-generated GUID with dafx- prefix + call_args = mock_context.call_entity.call_args + entity_id = call_args[0][0] + assert entity_id.name == "dafx-TestAgent" + assert entity_id.key == "auto-generated-guid" + # Should be called twice: once for session_key, once for correlation_id + assert mock_context.new_uuid.call_count == 2 + + def test_run_with_response_format(self) -> None: + """Test that run() passes response format correctly.""" + mock_context = Mock() + mock_context.instance_id = "test-instance-003" + + mock_task = Mock() + mock_task._is_scheduled = False + mock_context.call_entity = Mock(return_value=mock_task) + + agent = DurableAIAgent(mock_context, "TestAgent") + + from pydantic import BaseModel + + class SampleSchema(BaseModel): + key: str + + # Create thread and call + thread = agent.get_new_thread() + + task = agent.run(messages="Test message", thread=thread, response_format=SampleSchema) + + assert task == mock_task + + # Verify schema was passed in the call_entity arguments + call_args = mock_context.call_entity.call_args + input_data = call_args[0][2] # Third argument is input_data + assert "response_format" in input_data + assert input_data["response_format"]["__response_schema_type__"] == "pydantic_model" + assert input_data["response_format"]["module"] == SampleSchema.__module__ + assert input_data["response_format"]["qualname"] == SampleSchema.__qualname__ + + def test_messages_to_string(self) -> None: + """Test converting ChatMessage list to string.""" + from agent_framework import ChatMessage + + mock_context = Mock() + agent = DurableAIAgent(mock_context, "TestAgent") + + messages = [ + ChatMessage(role="user", text="Hello"), + ChatMessage(role="assistant", text="Hi there"), + ChatMessage(role="user", text="How are you?"), + ] + + result = agent._messages_to_string(messages) + + assert result == "Hello\nHi there\nHow are you?" + + def test_run_with_chat_message(self) -> None: + """Test that run() handles ChatMessage input.""" + from agent_framework import ChatMessage + + mock_context = Mock() + mock_context.new_uuid = Mock(side_effect=["thread-guid", "correlation-guid"]) + mock_task = Mock() + mock_context.call_entity = Mock(return_value=mock_task) + + agent = DurableAIAgent(mock_context, "TestAgent") + thread = agent.get_new_thread() + + # Call with ChatMessage + msg = ChatMessage(role="user", text="Hello") + task = agent.run(messages=msg, thread=thread) + + assert task == mock_task + + # Verify message was converted to string + call_args = mock_context.call_entity.call_args + request = call_args[0][2] + assert request["message"] == "Hello" + + def test_run_stream_raises_not_implemented(self) -> None: + """Test that run_stream() method raises NotImplementedError.""" + mock_context = Mock() + agent = DurableAIAgent(mock_context, "TestAgent") + + with pytest.raises(NotImplementedError) as exc_info: + agent.run_stream("Test message") + + error_msg = str(exc_info.value) + assert "Streaming is not supported" in error_msg + + def test_entity_id_format(self) -> None: + """Test that EntityId is created with correct format (name, key).""" + from azure.durable_functions import EntityId + + mock_context = Mock() + mock_context.new_uuid = Mock(return_value="test-guid-789") + mock_context.call_entity = Mock(return_value=Mock()) + + agent = DurableAIAgent(mock_context, "WriterAgent") + thread = agent.get_new_thread() + + # Call run() to trigger entity ID creation + agent.run("Test", thread=thread) + + # Verify call_entity was called with correct EntityId + call_args = mock_context.call_entity.call_args + entity_id = call_args[0][0] + + # EntityId should be EntityId(name="dafx-WriterAgent", key="test-guid-789") + # Which formats as "@dafx-writeragent@test-guid-789" + assert isinstance(entity_id, EntityId) + assert entity_id.name == "dafx-WriterAgent" + assert entity_id.key == "test-guid-789" + assert str(entity_id) == "@dafx-writeragent@test-guid-789" + + +class TestGetAgentHelper: + """Test suite for the get_agent helper function.""" + + def test_get_agent_function(self) -> None: + """Test get_agent function creates DurableAIAgent.""" + mock_context = Mock() + mock_context.instance_id = "test-instance-100" + + agent = get_agent(mock_context, "MyAgent") + + assert isinstance(agent, DurableAIAgent) + assert agent.agent_name == "MyAgent" + assert agent.context == mock_context + + +class TestOrchestrationIntegration: + """Integration tests for orchestration scenarios.""" + + def test_sequential_agent_calls_simulation(self) -> None: + """Simulate sequential agent calls in an orchestration.""" + mock_context = Mock() + mock_context.instance_id = "test-orchestration-001" + # new_uuid will be called 3 times: + # 1. thread creation + # 2. correlation_id for first call + # 3. correlation_id for second call + mock_context.new_uuid = Mock(side_effect=["deterministic-guid-001", "corr-1", "corr-2"]) + + # Track entity calls + entity_calls: list[dict[str, Any]] = [] + + def mock_call_entity_side_effect(entity_id: Any, operation: str, input_data: dict[str, Any]) -> Mock: + entity_calls.append({"entity_id": str(entity_id), "operation": operation, "input": input_data}) + + # Return a mock Task + mock_task = Mock() + mock_task._is_scheduled = False + return mock_task + + mock_context.call_entity = Mock(side_effect=mock_call_entity_side_effect) + + # Create agent + agent = get_agent(mock_context, "WriterAgent") + + # Create thread + thread = agent.get_new_thread() + + # First call - returns Task + task1 = agent.run("Write something", thread=thread) + assert hasattr(task1, "_is_scheduled") + + # Second call - returns Task + task2 = agent.run("Improve: something", thread=thread) + assert hasattr(task2, "_is_scheduled") + + # Verify both calls used the same entity (same session key) + assert len(entity_calls) == 2 + assert entity_calls[0]["entity_id"] == entity_calls[1]["entity_id"] + # EntityId format is @dafx-writeragent@deterministic-guid-001 + assert entity_calls[0]["entity_id"] == "@dafx-writeragent@deterministic-guid-001" + # new_uuid called 3 times: thread + 2 correlation IDs + assert mock_context.new_uuid.call_count == 3 + + def test_multiple_agents_in_orchestration(self) -> None: + """Test using multiple different agents in one orchestration.""" + mock_context = Mock() + mock_context.instance_id = "test-orchestration-002" + # Mock new_uuid to return different GUIDs for each call + # Order: writer thread, editor thread, writer correlation, editor correlation + mock_context.new_uuid = Mock(side_effect=["writer-guid-001", "editor-guid-002", "writer-corr", "editor-corr"]) + + entity_calls: list[str] = [] + + def mock_call_entity_side_effect(entity_id: Any, operation: str, input_data: dict[str, Any]) -> Mock: + entity_calls.append(str(entity_id)) + mock_task = Mock() + mock_task._is_scheduled = False + return mock_task + + mock_context.call_entity = Mock(side_effect=mock_call_entity_side_effect) + + # Create multiple agents + writer = get_agent(mock_context, "WriterAgent") + editor = get_agent(mock_context, "EditorAgent") + + writer_thread = writer.get_new_thread() + editor_thread = editor.get_new_thread() + + # Call both agents - returns Tasks + writer_task = writer.run("Write", thread=writer_thread) + editor_task = editor.run("Edit", thread=editor_thread) + + assert hasattr(writer_task, "_is_scheduled") + assert hasattr(editor_task, "_is_scheduled") + + # Verify different entity IDs were used + assert len(entity_calls) == 2 + # EntityId format is @dafx-agentname@guid (lowercased agent name with dafx- prefix) + assert entity_calls[0] == "@dafx-writeragent@writer-guid-001" + assert entity_calls[1] == "@dafx-editoragent@editor-guid-002" + + +class TestAgentThreadSerialization: + """Test that AgentThread can be serialized for orchestration state.""" + + async def test_agent_thread_serialize(self) -> None: + """Test that AgentThread can be serialized.""" + thread = AgentThread() + + # Serialize + serialized = await thread.serialize() + + assert isinstance(serialized, dict) + assert "service_thread_id" in serialized + + async def test_agent_thread_deserialize(self) -> None: + """Test that AgentThread can be deserialized.""" + thread = AgentThread() + serialized = await thread.serialize() + + # Deserialize + restored = await AgentThread.deserialize(serialized) + + assert isinstance(restored, AgentThread) + assert restored.service_thread_id == thread.service_thread_id + + async def test_durable_agent_thread_serialization(self) -> None: + """Test that DurableAgentThread persists session metadata during serialization.""" + mock_context = Mock() + mock_context.instance_id = "test-instance-999" + mock_context.new_uuid = Mock(return_value="test-guid-999") + + agent = DurableAIAgent(mock_context, "TestAgent") + thread = agent.get_new_thread() + + assert isinstance(thread, DurableAgentThread) + # Verify custom attribute and property exist + assert thread.session_id is not None + session_id = thread.session_id + assert isinstance(session_id, AgentSessionId) + assert session_id.name == "TestAgent" + assert session_id.key == "test-guid-999" + + # Standard serialization should still work + serialized = await thread.serialize() + assert isinstance(serialized, dict) + assert serialized.get("durable_session_id") == str(session_id) + + # After deserialization, we'd need to restore the custom attribute + # This would be handled by the orchestration framework + restored = await DurableAgentThread.deserialize(serialized) + assert isinstance(restored, DurableAgentThread) + assert restored.session_id == session_id + + +if __name__ == "__main__": + pytest.main([__file__, "-v", "--tb=short"]) diff --git a/python/packages/azurefunctions/tests/test_state.py b/python/packages/azurefunctions/tests/test_state.py new file mode 100644 index 0000000000..52aa7458f0 --- /dev/null +++ b/python/packages/azurefunctions/tests/test_state.py @@ -0,0 +1,110 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""Unit tests for AgentState correlation ID tracking.""" + +from unittest.mock import Mock + +import pytest +from agent_framework import AgentRunResponse + +from agent_framework_azurefunctions._state import AgentState + + +class TestAgentStateCorrelationId: + """Test suite for AgentState correlation ID tracking.""" + + def _create_mock_response(self, text: str = "Response") -> Mock: + """Create a mock AgentRunResponse with the provided text.""" + mock_response = Mock(spec=AgentRunResponse) + mock_response.to_dict.return_value = {"text": text, "messages": []} + return mock_response + + def test_add_assistant_message_with_correlation_id(self) -> None: + state = AgentState() + state.add_user_message("Hello", correlation_id="corr-123-request") + state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") + message_metadata = state.conversation_history[-1].additional_properties or {} + assert message_metadata.get("correlation_id") == "corr-123" + + response_data = state.try_get_agent_response("corr-123") + assert response_data is not None + assert response_data["content"] == "Response" + assert response_data["agent_response"] == {"text": "Response", "messages": []} + + def test_try_get_agent_response_returns_response(self) -> None: + state = AgentState() + state.add_user_message("Hello", correlation_id="corr-200-request") + state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-456") + + response_data = state.try_get_agent_response("corr-456") + + assert response_data is not None + assert response_data["content"] == "Response" + + def test_try_get_agent_response_returns_none_for_missing_id(self) -> None: + state = AgentState() + state.add_user_message("Hello", correlation_id="corr-300-request") + state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") + + assert state.try_get_agent_response("non-existent") is None + + def test_multiple_responses_tracked_separately(self) -> None: + state = AgentState() + + for index in range(3): + state.add_user_message(f"Message {index}", correlation_id=f"corr-{index}-request") + state.add_assistant_message( + f"Response {index}", + self._create_mock_response(text=f"Response {index}"), + correlation_id=f"corr-{index}", + ) + + for index in range(3): + payload = state.try_get_agent_response(f"corr-{index}") + assert payload is not None + assert payload["content"] == f"Response {index}" + + def test_add_assistant_message_without_correlation_id(self) -> None: + state = AgentState() + state.add_user_message("Hello", correlation_id="corr-400-request") + state.add_assistant_message("Response", self._create_mock_response()) + + assert state.try_get_agent_response("missing") is None + assert state.last_response == "Response" + + def test_to_dict_does_not_duplicate_agent_responses(self) -> None: + state = AgentState() + state.add_user_message("Hello", correlation_id="corr-500-request") + state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") + + state_snapshot = state.to_dict() + + assert "agent_responses" not in state_snapshot + metadata = state_snapshot["conversation_history"][-1]["additional_properties"] + assert metadata["correlation_id"] == "corr-123" + + def test_restore_state_preserves_agent_response_lookup(self) -> None: + state = AgentState() + state.add_user_message("Hello", correlation_id="corr-600-request") + state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") + + restored_state = AgentState() + restored_state.restore_state(state.to_dict()) + + payload = restored_state.try_get_agent_response("corr-123") + assert payload is not None + assert payload["content"] == "Response" + + def test_reset_clears_conversation_history(self) -> None: + state = AgentState() + state.add_user_message("Hello", correlation_id="corr-700-request") + state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") + + state.reset() + + assert len(state.conversation_history) == 0 + assert state.try_get_agent_response("corr-123") is None + + +if __name__ == "__main__": + pytest.main([__file__, "-v", "--tb=short"]) From 40b6deff9675bf095a21c9e42b21fcc35c2781c6 Mon Sep 17 00:00:00 2001 From: Chris Gillum Date: Fri, 7 Nov 2025 09:42:11 -0800 Subject: [PATCH 06/19] .NET: [Feature Branch] Migrate state schema updates and support for agents as MCP tools (#1979) --- dotnet/Directory.Packages.props | 1 + dotnet/agent-framework-dotnet.slnx | 1 + .../AzureFunctions/01_SingleAgent/host.json | 2 +- .../07_AgentAsMcpTool.csproj | 42 +++ .../07_AgentAsMcpTool/Program.cs | 53 +++ .../07_AgentAsMcpTool/README.md | 93 +++++ .../07_AgentAsMcpTool/host.json | 19 + .../07_AgentAsMcpTool/local.settings.json | 10 + dotnet/samples/AzureFunctions/README.md | 1 + .../AgentEntity.cs | 19 +- .../AgentRunHandle.cs | 26 +- .../DefaultDurableAgentClient.cs | 15 +- .../DurableAIAgent.cs | 7 +- .../DurableAgentJsonUtilities.cs | 2 +- .../DurableAgentState.cs | 79 ----- .../DurableAgentStateEntry.cs | 79 ----- .../Microsoft.Agents.AI.DurableTask/Logs.cs | 18 + .../RunRequest.cs | 4 +- .../ServiceCollectionExtensions.cs | 13 +- .../State/DurableAgentState.cs | 27 ++ .../State/DurableAgentStateContent.cs | 60 ++++ .../State/DurableAgentStateData.cs | 25 ++ .../State/DurableAgentStateDataContent.cs | 45 +++ .../State/DurableAgentStateEntry.cs | 44 +++ .../State/DurableAgentStateErrorContent.cs | 59 ++++ .../DurableAgentStateFunctionCallContent.cs | 63 ++++ .../DurableAgentStateFunctionResultContent.cs | 49 +++ .../DurableAgentStateHostedFileContent.cs | 39 +++ ...rableAgentStateHostedVectorStoreContent.cs | 39 +++ .../State/DurableAgentStateJsonContext.cs | 42 +++ .../State/DurableAgentStateJsonConverter.cs | 71 ++++ .../State/DurableAgentStateMessage.cs | 76 ++++ .../State/DurableAgentStateRequest.cs | 50 +++ .../State/DurableAgentStateResponse.cs | 49 +++ .../State/DurableAgentStateTextContent.cs | 38 ++ .../DurableAgentStateTextReasoningContent.cs | 38 ++ .../State/DurableAgentStateUnknownContent.cs | 43 +++ .../State/DurableAgentStateUriContent.cs | 44 +++ .../State/DurableAgentStateUsage.cs | 71 ++++ .../State/DurableAgentStateUsageContent.cs | 37 ++ .../State/README.md | 147 ++++++++ .../BuiltInFunctionExecutor.cs | 49 ++- .../BuiltInFunctions.cs | 48 ++- .../DefaultFunctionsAgentOptionsProvider.cs | 45 +++ ...DurableAgentFunctionMetadataTransformer.cs | 64 +++- .../DurableAgentsOptionsExtensions.cs | 137 ++++++++ .../FunctionsAgentOptions.cs | 19 + .../FunctionsApplicationBuilderExtensions.cs | 8 +- .../HttpTriggerOptions.cs | 18 + .../IFunctionsAgentOptionsProvider.cs | 19 + .../Logs.cs | 20 ++ .../McpToolTriggerOptions.cs | 18 + ...ft.Agents.AI.Hosting.AzureFunctions.csproj | 18 + .../State/DurableAgentStateContentTests.cs | 324 ++++++++++++++++++ .../State/DurableAgentStateMessageTests.cs | 47 +++ .../State/DurableAgentStateTests.cs | 170 +++++++++ ...leAgentFunctionMetadataTransformerTests.cs | 143 ++++++-- .../TestAgent.cs | 33 ++ schemas/durable-agent-entity-state.json | 214 ++++++++++++ 59 files changed, 2781 insertions(+), 253 deletions(-) create mode 100644 dotnet/samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj create mode 100644 dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs create mode 100644 dotnet/samples/AzureFunctions/07_AgentAsMcpTool/README.md create mode 100644 dotnet/samples/AzureFunctions/07_AgentAsMcpTool/host.json create mode 100644 dotnet/samples/AzureFunctions/07_AgentAsMcpTool/local.settings.json delete mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs delete mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentState.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateData.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateDataContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateEntry.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateErrorContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionCallContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionResultContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedFileContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedVectorStoreContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonContext.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonConverter.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateMessage.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateRequest.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateResponse.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextReasoningContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUnknownContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUriContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsage.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsageContent.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.DurableTask/State/README.md create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DefaultFunctionsAgentOptionsProvider.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentsOptionsExtensions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsAgentOptions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/HttpTriggerOptions.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/IFunctionsAgentOptionsProvider.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Logs.cs create mode 100644 dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/McpToolTriggerOptions.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateContentTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateMessageTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/TestAgent.cs create mode 100644 schemas/durable-agent-entity-state.json diff --git a/dotnet/Directory.Packages.props b/dotnet/Directory.Packages.props index 65a0e39f13..4ee9711594 100644 --- a/dotnet/Directory.Packages.props +++ b/dotnet/Directory.Packages.props @@ -105,6 +105,7 @@ + diff --git a/dotnet/agent-framework-dotnet.slnx b/dotnet/agent-framework-dotnet.slnx index 80660c78b3..15b86590df 100644 --- a/dotnet/agent-framework-dotnet.slnx +++ b/dotnet/agent-framework-dotnet.slnx @@ -27,6 +27,7 @@ + diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/host.json b/dotnet/samples/AzureFunctions/01_SingleAgent/host.json index 9bef705c04..9384a0a583 100644 --- a/dotnet/samples/AzureFunctions/01_SingleAgent/host.json +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/host.json @@ -17,4 +17,4 @@ } } } -} \ No newline at end of file +} diff --git a/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj new file mode 100644 index 0000000000..8fa1f5f2e7 --- /dev/null +++ b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/07_AgentAsMcpTool.csproj @@ -0,0 +1,42 @@ + + + net9.0 + v4 + Exe + enable + enable + + AgentAsMcpTool + AgentAsMcpTool + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs new file mode 100644 index 0000000000..40dffe21a0 --- /dev/null +++ b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs @@ -0,0 +1,53 @@ +// Copyright (c) Microsoft. All rights reserved. + +// This sample demonstrates how to configure AI agents to be accessible as MCP tools. +// When using AddAIAgent and enabling MCP tool triggers, the Functions host will automatically +// generate a remote MCP endpoint for the app at /runtime/webhooks/mcp with a agent-specific +// query tool name. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI; +using Microsoft.Agents.AI.DurableTask; +using Microsoft.Agents.AI.Hosting.AzureFunctions; +using Microsoft.Azure.Functions.Worker.Builder; +using Microsoft.Extensions.Hosting; +using OpenAI; + +// Get the Azure OpenAI endpoint and deployment name from environment variables. +string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set."); +string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); + +// Use Azure Key Credential if provided, otherwise use Azure CLI Credential. +string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); + +// Define three AI agents we are going to use in this application. +AIAgent agent1 = client.GetChatClient(deploymentName).CreateAIAgent("You are good at telling jokes.", "Joker"); + +AIAgent agent2 = client.GetChatClient(deploymentName) + .CreateAIAgent("Check stock prices.", "StockAdvisor"); + +AIAgent agent3 = client.GetChatClient(deploymentName) + .CreateAIAgent("Recommend plants.", "PlantAdvisor", description: "Get plant recommendations."); + +using IHost app = FunctionsApplication + .CreateBuilder(args) + .ConfigureFunctionsWebApplication() + .ConfigureDurableAgents(options => + { + options + .AddAIAgent(agent1) // Enables HTTP trigger by default. + .AddAIAgent(agent2, enableHttpTrigger: false, enableMcpToolTrigger: true) // Disable HTTP trigger, enable MCP Tool trigger. + .AddAIAgent(agent3, agentOptions => + { + agentOptions.McpToolTrigger.IsEnabled = true; // Enable MCP Tool trigger. + }); + }) + .Build(); +app.Run(); diff --git a/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/README.md b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/README.md new file mode 100644 index 0000000000..11f1394644 --- /dev/null +++ b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/README.md @@ -0,0 +1,93 @@ +# Agent as MCP Tool Sample + +This sample demonstrates how to configure AI agents to be accessible as both HTTP endpoints and [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) tools, enabling flexible integration patterns for AI agent consumption. + +## Key Concepts Demonstrated + +- **Multi-trigger Agent Configuration**: Configure agents to support HTTP triggers, MCP tool triggers, or both +- **Microsoft Agent Framework Integration**: Use the framework to define AI agents with specific roles and capabilities +- **Flexible Agent Registration**: Register agents with customizable trigger configurations +- **MCP Server Hosting**: Expose agents as MCP tools for consumption by MCP-compatible clients + +## Sample Architecture + +This sample creates three agents with different trigger configurations: + +| Agent | Role | HTTP Trigger | MCP Tool Trigger | Description | +|-------|------|--------------|------------------|-------------| +| **Joker** | Comedy specialist | ✅ Enabled | ❌ Disabled | Accessible only via HTTP requests | +| **StockAdvisor** | Financial data | ❌ Disabled | ✅ Enabled | Accessible only as MCP tool | +| **PlantAdvisor** | Indoor plant recommendations | ✅ Enabled | ✅ Enabled | Accessible via both HTTP and MCP | + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for complete setup instructions, including: + +- Prerequisites installation +- Azure OpenAI configuration +- Durable Task Scheduler setup +- Storage emulator configuration + +For this sample, you'll also need to install [node.js](https://nodejs.org/en/download) in order to use the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector) tool. + +## Configuration + +Update your `local.settings.json` with your Azure OpenAI credentials: + +```json +{ + "Values": { + "AZURE_OPENAI_ENDPOINT": "https://your-resource.openai.azure.com/", + "AZURE_OPENAI_DEPLOYMENT": "your-deployment-name", + "AZURE_OPENAI_KEY": "your-api-key-if-not-using-rbac" + } +} +``` + +## Running the Sample + +1. **Start the Function App**: + + ```bash + cd dotnet/samples/AzureFunctions/07_AgentAsMcpTool + func start + ``` + +2. **Note the MCP Server Endpoint**: When the app starts, you'll see the MCP server endpoint in the terminal output. It will look like: + + ```text + MCP server endpoint: http://localhost:7071/runtime/webhooks/mcp + ``` + +## Testing MCP Tool Integration + +Any MCP-compatible client can connect to the server endpoint and utilize the exposed agent tools. The agents will appear as callable tools within the MCP protocol. + +### Using MCP Inspector + +1. Run the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector) from the command line: + + ```bash + npx @modelcontextprotocol/inspector + ``` + +1. Connect using the MCP server endpoint from your terminal output + + - For **Transport Type**, select **"Streamable HTTP"** + - For **URL**, enter the MCP server endpoint `http://localhost:7071/runtime/webhooks/mcp` + - Click the **Connect** button + +1. Click the **List Tools** button to see the available MCP tools. You should see the `StockAdvisor` and `PlantAdvisor` tools. + +1. Test the available MCP tools: + + - **StockAdvisor** - Set "MSFT ATH" (ATH is "all time high") as the query and click the **Run Tool** button. + - **PlantAdvisor** - Set "Low light in Seattle" as the query and click the **Run Tool** button. + +You'll see the results of the tool calls in the MCP Inspector interface under the **Tool Results** section. You should also see the results in the terminal where you ran the `func start` command. + +## Learn More + +- [Model Context Protocol Documentation](https://modelcontextprotocol.io/) +- [Microsoft Agent Framework Documentation](https://github.com/Azure/durable-agent-framework) +- [Azure Functions Documentation](https://learn.microsoft.com/azure/azure-functions/) diff --git a/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/host.json b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/host.json new file mode 100644 index 0000000000..aa36d82912 --- /dev/null +++ b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/host.json @@ -0,0 +1,19 @@ +{ + "version": "2.0", + "logging": { + "logLevel": { + "Microsoft.Azure.Functions.DurableAgents": "Information", + "DurableTask": "Information", + "Microsoft.DurableTask": "Information" + } + }, + "extensions": { + "durableTask": { + "hubName": "default", + "storageProvider": { + "type": "AzureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/local.settings.json b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/local.settings.json new file mode 100644 index 0000000000..54dfbb5664 --- /dev/null +++ b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/local.settings.json @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "dotnet-isolated", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_DEPLOYMENT": "" + } +} diff --git a/dotnet/samples/AzureFunctions/README.md b/dotnet/samples/AzureFunctions/README.md index eacae19306..83d26a53b7 100644 --- a/dotnet/samples/AzureFunctions/README.md +++ b/dotnet/samples/AzureFunctions/README.md @@ -8,6 +8,7 @@ This directory contains samples for Azure Functions. - **[04_AgentOrchestration_Conditionals](04_AgentOrchestration_Conditionals)**: A sample that demonstrates how to host multiple agents in an Azure Functions app and run them sequentially using a durable orchestration with conditionals. - **[05_AgentOrchestration_HITL](05_AgentOrchestration_HITL)**: A sample that demonstrates how to implement a human-in-the-loop workflow using durable orchestration, including external event handling for human approval. - **[06_LongRunningTools](06_LongRunningTools)**: A sample that demonstrates how agents can start and interact with durable orchestrations from tool calls to enable long-running tool scenarios. +- **[07_AgentAsMcpTool](07_AgentAsMcpTool)**: A sample that demonstrates how to configure durable AI agents to be accessible as Model Context Protocol (MCP) tools. ## Running the Samples diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs index 8c5c265f2d..166799a124 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentEntity.cs @@ -1,5 +1,6 @@ // Copyright (c) Microsoft. All rights reserved. +using Microsoft.Agents.AI.DurableTask.State; using Microsoft.DurableTask.Client; using Microsoft.DurableTask.Entities; using Microsoft.Extensions.AI; @@ -40,13 +41,11 @@ public async Task RunAgentAsync(RunRequest request) logger.LogInformation("Ignoring empty request"); } - // TODO: Get state from optional state store - DurableAgentState state = this.State; + this.State.Data.ConversationHistory.Add(DurableAgentStateRequest.FromRunRequest(request)); foreach (ChatMessage msg in request.Messages) { logger.LogAgentRequest(sessionId, msg.Role, msg.Text); - state.AddChatMessage(msg); } // Set the current agent context for the duration of the agent run. This will be exposed @@ -62,7 +61,7 @@ public async Task RunAgentAsync(RunRequest request) { // Start the agent response stream IAsyncEnumerable responseStream = agentWrapper.RunStreamingAsync( - state.EnumerateChatMessages(), + this.State.Data.ConversationHistory.SelectMany(e => e.Messages).Select(m => m.ToChatMessage()), agentWrapper.GetNewThread(), options: null, this._cancellationToken); @@ -98,7 +97,8 @@ async IAsyncEnumerable StreamResultsAsync() } // Persist the agent response to the entity state for client polling - state.AddAgentResponse(response, request.CorrelationId); + this.State.Data.ConversationHistory.Add( + DurableAgentStateResponse.FromRunResponse(request.CorrelationId, response)); string responseText = response.Text; @@ -113,8 +113,6 @@ async IAsyncEnumerable StreamResultsAsync() response.Usage?.TotalTokenCount); } - this.UpdateEntityState(state); - return response; } finally @@ -123,11 +121,4 @@ async IAsyncEnumerable StreamResultsAsync() DurableAgentContext.ClearCurrent(); } } - - private void UpdateEntityState(DurableAgentState state) - { - // This method is called to update the state of the entity. - // It can be used to persist the state to a durable store if needed. - this.State = state; - } } diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs index 6df24d3832..e4fe08dbf2 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/AgentRunHandle.cs @@ -1,7 +1,9 @@ // Copyright (c) Microsoft. All rights reserved. +using Microsoft.Agents.AI.DurableTask.State; using Microsoft.DurableTask.Client; using Microsoft.DurableTask.Client.Entities; +using Microsoft.Extensions.Logging; namespace Microsoft.Agents.AI.DurableTask; @@ -11,10 +13,16 @@ namespace Microsoft.Agents.AI.DurableTask; internal sealed class AgentRunHandle { private readonly DurableTaskClient _client; + private readonly ILogger _logger; - internal AgentRunHandle(DurableTaskClient client, AgentSessionId sessionId, string correlationId) + internal AgentRunHandle( + DurableTaskClient client, + ILogger logger, + AgentSessionId sessionId, + string correlationId) { this._client = client; + this._logger = logger; this.SessionId = sessionId; this.CorrelationId = correlationId; } @@ -41,6 +49,8 @@ public async Task ReadAgentResponseAsync(CancellationToken can TimeSpan pollInterval = TimeSpan.FromMilliseconds(50); // Start with 50ms TimeSpan maxPollInterval = TimeSpan.FromSeconds(3); // Maximum 3 seconds + this._logger.LogStartPollingForResponse(this.SessionId, this.CorrelationId); + while (true) { // Poll the entity state for responses @@ -49,10 +59,18 @@ public async Task ReadAgentResponseAsync(CancellationToken can cancellation: cancellationToken); DurableAgentState? state = entityResponse?.State; - // Look for an agent response with matching CorrelationId - if (state is not null && state.TryGetAgentResponse(this.CorrelationId, out AgentRunResponse? response)) + if (state?.Data.ConversationHistory is not null) { - return response; + // Look for an agent response with matching CorrelationId + DurableAgentStateResponse? response = state.Data.ConversationHistory + .OfType() + .FirstOrDefault(r => r.CorrelationId == this.CorrelationId); + + if (response is not null) + { + this._logger.LogDonePollingForResponse(this.SessionId, this.CorrelationId); + return response.ToRunResponse(); + } } // Wait before polling again with exponential backoff diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs index e19b7ae742..2086a00ecb 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DefaultDurableAgentClient.cs @@ -2,13 +2,14 @@ using Microsoft.DurableTask.Client; using Microsoft.Extensions.Logging; +using Microsoft.Extensions.Logging.Abstractions; namespace Microsoft.Agents.AI.DurableTask; -internal class DefaultDurableAgentClient(DurableTaskClient client, ILoggerFactory? loggerFactory = null) : IDurableAgentClient +internal class DefaultDurableAgentClient(DurableTaskClient client, ILoggerFactory loggerFactory) : IDurableAgentClient { - private readonly DurableTaskClient _client = client; - private readonly ILogger? _logger = loggerFactory?.CreateLogger(); + private readonly DurableTaskClient _client = client ?? throw new ArgumentNullException(nameof(client)); + private readonly ILogger _logger = (loggerFactory ?? NullLoggerFactory.Instance).CreateLogger(); public async Task RunAgentAsync( AgentSessionId sessionId, @@ -17,11 +18,7 @@ public async Task RunAgentAsync( { ArgumentNullException.ThrowIfNull(request); - // The correlation ID is used to fetch the correct response later. - request.CorrelationId = Guid.NewGuid().ToString("N"); - - // TODO: Use source generators to log the request - this._logger?.LogInformation("Signalling agent with session ID '{SessionId}'", sessionId); + this._logger.LogSignallingAgent(sessionId); await this._client.Entities.SignalEntityAsync( sessionId, @@ -29,6 +26,6 @@ await this._client.Entities.SignalEntityAsync( request, cancellation: cancellationToken); - return new AgentRunHandle(this._client, sessionId, request.CorrelationId); + return new AgentRunHandle(this._client, this._logger, sessionId, request.CorrelationId); } } diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs index 7134fcd16f..52907c5816 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAIAgent.cs @@ -149,7 +149,12 @@ public async Task> RunAsync( AgentRunOptions? options = null, CancellationToken cancellationToken = default) { - return await this.RunAsync([new ChatMessage(ChatRole.User, message)], thread, serializerOptions, options, cancellationToken); + return await this.RunAsync( + messages: [new ChatMessage(ChatRole.User, message) { CreatedAt = DateTimeOffset.UtcNow }], + thread, + serializerOptions, + options, + cancellationToken); } /// diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs index dbe5cd76af..3d702ce000 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentJsonUtilities.cs @@ -3,6 +3,7 @@ using System.Diagnostics.CodeAnalysis; using System.Text.Json; using System.Text.Json.Serialization; +using Microsoft.Agents.AI.DurableTask.State; using Microsoft.Extensions.AI; namespace Microsoft.Agents.AI.DurableTask; @@ -73,7 +74,6 @@ private static JsonSerializerOptions CreateDefaultOptions() // Durable Agent State Types [JsonSerializable(typeof(DurableAgentState))] - [JsonSerializable(typeof(AgentStateEntry))] [JsonSerializable(typeof(DurableAgentThread))] // Request Types diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs deleted file mode 100644 index 80a43d403f..0000000000 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentState.cs +++ /dev/null @@ -1,79 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using System.Diagnostics.CodeAnalysis; -using Microsoft.Extensions.AI; - -namespace Microsoft.Agents.AI.DurableTask; - -/// -/// Represents the state of a durable agent, including its conversation history. -/// -public class DurableAgentState -{ - /// - /// Gets the ordered list of state entries representing the complete conversation history. - /// This includes both user messages and agent responses in chronological order. - /// - public List ConversationHistory { get; set; } = []; - - /// - /// Gets all chat messages from the conversation history. - /// - /// A collection of chat messages in chronological order. - public IEnumerable EnumerateChatMessages() - { - foreach (AgentStateEntry entry in this.ConversationHistory) - { - if (entry.Type == AgentStateEntry.EntryType.ChatMessage) - { - yield return entry.ChatMessage!; - } - else if (entry.Type == AgentStateEntry.EntryType.AgentResponse) - { - foreach (ChatMessage message in entry.AgentResponse!.Messages) - { - yield return message; - } - } - } - } - - /// - /// Gets an agent response from the conversation history. - /// - /// The correlation ID of the agent response to get. - /// The agent response if found, null otherwise. - /// True if the agent response was found, false otherwise. - public bool TryGetAgentResponse(string correlationId, [NotNullWhen(true)] out AgentRunResponse? response) - { - foreach (AgentStateEntry entry in this.ConversationHistory.Where( - entry => entry.Type == AgentStateEntry.EntryType.AgentResponse && - entry.CorrelationId == correlationId)) - { - response = entry.AgentResponse!; - return true; - } - - response = null; - return false; - } - - /// - /// Adds a chat message to the state. - /// - /// The chat message to add. - public void AddChatMessage(ChatMessage message) - { - this.ConversationHistory.Add(AgentStateEntry.CreateChatMessage(message)); - } - - /// - /// Adds an agent response to the state. - /// - /// The agent response to add. - /// The correlation ID for the agent response. - public void AddAgentResponse(AgentRunResponse response, string? correlationId) - { - this.ConversationHistory.Add(AgentStateEntry.CreateAgentResponse(response, correlationId)); - } -} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs deleted file mode 100644 index f0b6d8c3da..0000000000 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/DurableAgentStateEntry.cs +++ /dev/null @@ -1,79 +0,0 @@ -// Copyright (c) Microsoft. All rights reserved. - -using System.Text.Json.Serialization; -using Microsoft.Extensions.AI; - -namespace Microsoft.Agents.AI.DurableTask; - -/// -/// Represents a single entry in the durable agent state, which can either be a chat message or agent response. -/// This maintains chronological order of all interactions while preserving strong typing. -/// -public sealed class AgentStateEntry -{ - /// - /// Initializes a new instance of the class. - /// - /// The chat message, if this entry represents a chat message. - /// The agent response, if this entry represents an agent response. - /// The correlation ID associated with the agent response, if any. - [JsonConstructor] - public AgentStateEntry(ChatMessage? chatMessage, AgentRunResponse? agentResponse, string? correlationId) - { - this.ChatMessage = chatMessage; - this.AgentResponse = agentResponse; - this.Type = agentResponse is null ? EntryType.ChatMessage : EntryType.AgentResponse; - this.CorrelationId = correlationId; - } - - /// - /// Gets the type of this state entry. - /// - public EntryType Type { get; } - - /// - /// Gets the correlation ID for this entry. - /// - public string? CorrelationId { get; } - - /// - /// Gets the chat message, if this entry is a chat message. - /// - public ChatMessage? ChatMessage { get; } - - /// - /// Gets the agent response, if this entry is an agent response. - /// - public AgentRunResponse? AgentResponse { get; } - - /// - /// Creates a chat message entry. - /// - /// The chat message. - /// A new chat message entry. - public static AgentStateEntry CreateChatMessage(ChatMessage message) => new(message, null, null); - - /// - /// Creates an agent response entry. - /// - /// The agent response. - /// The correlation ID for the agent response. - /// A new agent response entry. - public static AgentStateEntry CreateAgentResponse(AgentRunResponse response, string? correlationId) => new(null, response, correlationId); - - /// - /// Defines the types of entries that can be stored in the durable agent state. - /// - public enum EntryType - { - /// - /// A user chat message. - /// - ChatMessage, - - /// - /// An agent response. - /// - AgentResponse - } -} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs index 139b073198..0bec1e149c 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/Logs.cs @@ -28,4 +28,22 @@ public static partial void LogAgentResponse( long? inputTokenCount, long? outputTokenCount, long? totalTokenCount); + + [LoggerMessage( + EventId = 3, + Level = LogLevel.Information, + Message = "Signalling agent with session ID '{SessionId}'")] + public static partial void LogSignallingAgent(this ILogger logger, AgentSessionId sessionId); + + [LoggerMessage( + EventId = 4, + Level = LogLevel.Information, + Message = "Polling agent with session ID '{SessionId}' for response with correlation ID '{CorrelationId}'")] + public static partial void LogStartPollingForResponse(this ILogger logger, AgentSessionId sessionId, string correlationId); + + [LoggerMessage( + EventId = 5, + Level = LogLevel.Information, + Message = "Found response for agent with session ID '{SessionId}' with correlation ID '{CorrelationId}'")] + public static partial void LogDonePollingForResponse(this ILogger logger, AgentSessionId sessionId, string correlationId); } diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs index f2dcc6832e..60e5a7f83c 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/RunRequest.cs @@ -34,7 +34,7 @@ public record RunRequest /// Gets or sets the correlation ID for correlating this request with its response. /// [JsonInclude] - internal string? CorrelationId { get; set; } + internal string CorrelationId { get; set; } = Guid.NewGuid().ToString("N"); /// /// Initializes a new instance of the class for a single message. @@ -50,7 +50,7 @@ public RunRequest( ChatResponseFormat? responseFormat = null, bool enableToolCalls = true, IList? enableToolNames = null) - : this([new ChatMessage(role ?? ChatRole.User, message)], responseFormat, enableToolCalls, enableToolNames) + : this([new ChatMessage(role ?? ChatRole.User, message) { CreatedAt = DateTimeOffset.UtcNow }], responseFormat, enableToolCalls, enableToolNames) { } diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs index 9a910609f0..c611206d6a 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/ServiceCollectionExtensions.cs @@ -3,6 +3,7 @@ using System.Diagnostics.CodeAnalysis; using System.Text.Json; using System.Text.Json.Serialization.Metadata; +using Microsoft.Agents.AI.DurableTask.State; using Microsoft.DurableTask; using Microsoft.DurableTask.Client; using Microsoft.DurableTask.Worker; @@ -97,7 +98,7 @@ internal static DurableAgentsOptions ConfigureDurableAgents( return options; } - private class DefaultDataConverter : DataConverter + private sealed class DefaultDataConverter : DataConverter { // Use durable agent options (web defaults + camel case by default) with case-insensitive matching. // We clone to apply naming/casing tweaks while retaining source-generated metadata where available. @@ -116,6 +117,11 @@ private class DefaultDataConverter : DataConverter return null; } + if (targetType == typeof(DurableAgentState)) + { + return JsonSerializer.Deserialize(data, DurableAgentStateJsonContext.Default.DurableAgentState); + } + JsonTypeInfo? typeInfo = s_options.GetTypeInfo(targetType); if (typeInfo is JsonTypeInfo typedInfo) { @@ -136,6 +142,11 @@ private class DefaultDataConverter : DataConverter return null; } + if (value is DurableAgentState durableAgentState) + { + return JsonSerializer.Serialize(durableAgentState, DurableAgentStateJsonContext.Default.DurableAgentState); + } + JsonTypeInfo? typeInfo = s_options.GetTypeInfo(value.GetType()); if (typeInfo is JsonTypeInfo typedInfo) { diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentState.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentState.cs new file mode 100644 index 0000000000..f0a12e4099 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentState.cs @@ -0,0 +1,27 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the state of a durable agent, including its conversation history. +/// +[JsonConverter(typeof(DurableAgentStateJsonConverter))] +internal sealed class DurableAgentState +{ + /// + /// Gets the data of the durable agent. + /// + [JsonPropertyName("data")] + public DurableAgentStateData Data { get; init; } = new(); + + /// + /// Gets the schema version of the durable agent state. + /// + /// + /// The version is specified in semver (i.e. "major.minor.patch") format. + /// + [JsonPropertyName("schemaVersion")] + public string SchemaVersion { get; init; } = "1.0.0"; +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateContent.cs new file mode 100644 index 0000000000..62f9f18d60 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateContent.cs @@ -0,0 +1,60 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Base class for durable agent state content types. +/// +[JsonPolymorphic(TypeDiscriminatorPropertyName = "$type")] +[JsonDerivedType(typeof(DurableAgentStateDataContent), "data")] +[JsonDerivedType(typeof(DurableAgentStateErrorContent), "error")] +[JsonDerivedType(typeof(DurableAgentStateFunctionCallContent), "functionCall")] +[JsonDerivedType(typeof(DurableAgentStateFunctionResultContent), "functionResult")] +[JsonDerivedType(typeof(DurableAgentStateHostedFileContent), "hostedFile")] +[JsonDerivedType(typeof(DurableAgentStateHostedVectorStoreContent), "hostedVectorStore")] +[JsonDerivedType(typeof(DurableAgentStateTextContent), "text")] +[JsonDerivedType(typeof(DurableAgentStateTextReasoningContent), "reasoning")] +[JsonDerivedType(typeof(DurableAgentStateUriContent), "uri")] +[JsonDerivedType(typeof(DurableAgentStateUsageContent), "usage")] +[JsonDerivedType(typeof(DurableAgentStateUnknownContent), "unknown")] +internal abstract class DurableAgentStateContent +{ + /// + /// Gets any additional data found during deserialization that does not map to known properties. + /// + [JsonExtensionData] + public IDictionary? ExtensionData { get; set; } + + /// + /// Converts this durable agent state content to an . + /// + /// A converted instance. + public abstract AIContent ToAIContent(); + + /// + /// Creates a from an . + /// + /// The to convert. + /// A representing the original . + public static DurableAgentStateContent FromAIContent(AIContent content) + { + return content switch + { + DataContent dataContent => DurableAgentStateDataContent.FromDataContent(dataContent), + ErrorContent errorContent => DurableAgentStateErrorContent.FromErrorContent(errorContent), + FunctionCallContent functionCallContent => DurableAgentStateFunctionCallContent.FromFunctionCallContent(functionCallContent), + FunctionResultContent functionResultContent => DurableAgentStateFunctionResultContent.FromFunctionResultContent(functionResultContent), + HostedFileContent hostedFileContent => DurableAgentStateHostedFileContent.FromHostedFileContent(hostedFileContent), + HostedVectorStoreContent hostedVectorStoreContent => DurableAgentStateHostedVectorStoreContent.FromHostedVectorStoreContent(hostedVectorStoreContent), + TextContent textContent => DurableAgentStateTextContent.FromTextContent(textContent), + TextReasoningContent textReasoningContent => DurableAgentStateTextReasoningContent.FromTextReasoningContent(textReasoningContent), + UriContent uriContent => DurableAgentStateUriContent.FromUriContent(uriContent), + UsageContent usageContent => DurableAgentStateUsageContent.FromUsageContent(usageContent), + _ => DurableAgentStateUnknownContent.FromUnknownContent(content) + }; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateData.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateData.cs new file mode 100644 index 0000000000..f51820dcf5 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateData.cs @@ -0,0 +1,25 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the data of a durable agent, including its conversation history. +/// +internal sealed class DurableAgentStateData +{ + /// + /// Gets the ordered list of state entries representing the complete conversation history. + /// This includes both user messages and agent responses in chronological order. + /// + [JsonPropertyName("conversationHistory")] + public IList ConversationHistory { get; init; } = []; + + /// + /// Gets any additional data found during deserialization that does not map to known properties. + /// + [JsonExtensionData] + public IDictionary? ExtensionData { get; set; } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateDataContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateDataContent.cs new file mode 100644 index 0000000000..9954213bd7 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateDataContent.cs @@ -0,0 +1,45 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents a durable agent state content that contains data content. +/// +internal sealed class DurableAgentStateDataContent : DurableAgentStateContent +{ + /// + /// Gets the URI of the data content. + /// + [JsonPropertyName("uri")] + public required string Uri { get; init; } + + /// + /// Gets the media type of the data content. + /// + [JsonPropertyName("mediaType")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string? MediaType { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original . + public static DurableAgentStateDataContent FromDataContent(DataContent content) + { + return new DurableAgentStateDataContent() + { + MediaType = content.MediaType, + Uri = content.Uri + }; + } + + /// + public override AIContent ToAIContent() + { + return new DataContent(this.Uri, this.MediaType); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateEntry.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateEntry.cs new file mode 100644 index 0000000000..2f04c90097 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateEntry.cs @@ -0,0 +1,44 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents a single entry in the durable agent state, which can either be a +/// user/system request or agent response. +/// +[JsonPolymorphic(TypeDiscriminatorPropertyName = "$type")] +[JsonDerivedType(typeof(DurableAgentStateRequest), "request")] +[JsonDerivedType(typeof(DurableAgentStateResponse), "response")] +internal abstract class DurableAgentStateEntry +{ + /// + /// Gets the correlation ID for this entry. + /// + /// + /// This ID is used to correlate back to its + /// . + /// + [JsonPropertyName("correlationId")] + public required string CorrelationId { get; init; } + + /// + /// Gets the timestamp when this entry was created. + /// + [JsonPropertyName("createdAt")] + public required DateTimeOffset CreatedAt { get; init; } + + /// + /// Gets the list of messages associated with this entry, in chronological order. + /// + [JsonPropertyName("messages")] + public IReadOnlyList Messages { get; init; } = []; + + /// + /// Gets any additional data found during deserialization that does not map to known properties. + /// + [JsonExtensionData] + public IDictionary? ExtensionData { get; set; } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateErrorContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateErrorContent.cs new file mode 100644 index 0000000000..17e5fea75f --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateErrorContent.cs @@ -0,0 +1,59 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents durable agent state content that contains error content. +/// +internal sealed class DurableAgentStateErrorContent : DurableAgentStateContent +{ + /// + /// Gets the error message. + /// + [JsonPropertyName("message")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string? Message { get; init; } + + /// + /// Gets the error code. + /// + [JsonPropertyName("errorCode")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string? ErrorCode { get; init; } + + /// + /// Gets the error details. + /// + [JsonPropertyName("details")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string? Details { get; init; } + + /// + /// Creates a from an . + /// + /// The to convert. + /// A representing the original + /// . + public static DurableAgentStateErrorContent FromErrorContent(ErrorContent content) + { + return new DurableAgentStateErrorContent() + { + Details = content.Details, + ErrorCode = content.ErrorCode, + Message = content.Message + }; + } + + /// + public override AIContent ToAIContent() + { + return new ErrorContent(this.Message) + { + Details = this.Details, + ErrorCode = this.ErrorCode + }; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionCallContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionCallContent.cs new file mode 100644 index 0000000000..babea0f4ff --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionCallContent.cs @@ -0,0 +1,63 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Collections.Immutable; +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Durable agent state content representing a function call. +/// +internal sealed class DurableAgentStateFunctionCallContent : DurableAgentStateContent +{ + /// + /// The function call arguments. + /// + /// TODO: Consider ensuring that empty dictionaries are omitted from serialization. + [JsonPropertyName("arguments")] + public required IReadOnlyDictionary Arguments { get; init; } = + ImmutableDictionary.Empty; + + /// + /// Gets the function call identifier. + /// + /// + /// This is used to correlate this function call with its resulting + /// . + /// + [JsonPropertyName("callId")] + public required string CallId { get; init; } + + /// + /// Gets the function name. + /// + [JsonPropertyName("name")] + public required string Name { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// + /// A representing the original content. + /// + public static DurableAgentStateFunctionCallContent FromFunctionCallContent(FunctionCallContent content) + { + return new DurableAgentStateFunctionCallContent() + { + Arguments = content.Arguments?.ToImmutableDictionary() ?? ImmutableDictionary.Empty, + CallId = content.CallId, + Name = content.Name + }; + } + + /// + public override AIContent ToAIContent() + { + return new FunctionCallContent( + this.CallId, + this.Name, + new Dictionary(this.Arguments)); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionResultContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionResultContent.cs new file mode 100644 index 0000000000..9237fdfa76 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateFunctionResultContent.cs @@ -0,0 +1,49 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the function result content for a durable agent state response. +/// +internal sealed class DurableAgentStateFunctionResultContent : DurableAgentStateContent +{ + /// + /// Gets the function call identifier. + /// + /// + /// This is used to correlate this function result with its originating + /// . + /// + [JsonPropertyName("callId")] + public required string CallId { get; init; } + + /// + /// Gets the function result. + /// + [JsonPropertyName("result")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public object? Result { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original content. + public static DurableAgentStateFunctionResultContent FromFunctionResultContent(FunctionResultContent content) + { + return new DurableAgentStateFunctionResultContent() + { + CallId = content.CallId, + Result = content.Result + }; + } + + /// + public override AIContent ToAIContent() + { + return new FunctionResultContent(this.CallId, this.Result); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedFileContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedFileContent.cs new file mode 100644 index 0000000000..c6fc860ac0 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedFileContent.cs @@ -0,0 +1,39 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents durable agent state content that contains hosted file content. +/// +internal sealed class DurableAgentStateHostedFileContent : DurableAgentStateContent +{ + /// + /// Gets the file ID of the hosted file content. + /// + [JsonPropertyName("fileId")] + public required string FileId { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// + /// A representing the original . + /// + public static DurableAgentStateHostedFileContent FromHostedFileContent(HostedFileContent content) + { + return new DurableAgentStateHostedFileContent() + { + FileId = content.FileId + }; + } + + /// + public override AIContent ToAIContent() + { + return new HostedFileContent(this.FileId); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedVectorStoreContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedVectorStoreContent.cs new file mode 100644 index 0000000000..f7b615564b --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateHostedVectorStoreContent.cs @@ -0,0 +1,39 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents durable agent state content that contains hosted vector store content. +/// +internal sealed class DurableAgentStateHostedVectorStoreContent : DurableAgentStateContent +{ + /// + /// Gets the vector store ID of the hosted vector store content. + /// + [JsonPropertyName("vectorStoreId")] + public required string VectorStoreId { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// + /// A representing the original . + /// + public static DurableAgentStateHostedVectorStoreContent FromHostedVectorStoreContent(HostedVectorStoreContent content) + { + return new DurableAgentStateHostedVectorStoreContent() + { + VectorStoreId = content.VectorStoreId + }; + } + + /// + public override AIContent ToAIContent() + { + return new HostedVectorStoreContent(this.VectorStoreId); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonContext.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonContext.cs new file mode 100644 index 0000000000..2684fcd3e1 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonContext.cs @@ -0,0 +1,42 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Nodes; +using System.Text.Json.Serialization; + +namespace Microsoft.Agents.AI.DurableTask.State; + +[JsonSourceGenerationOptions(WriteIndented = false)] +[JsonSerializable(typeof(DurableAgentState))] +[JsonSerializable(typeof(DurableAgentStateContent))] +[JsonSerializable(typeof(DurableAgentStateData))] +[JsonSerializable(typeof(DurableAgentStateEntry))] +[JsonSerializable(typeof(DurableAgentStateMessage))] +// Function call and result content +[JsonSerializable(typeof(Dictionary))] +[JsonSerializable(typeof(IDictionary))] +[JsonSerializable(typeof(JsonDocument))] +[JsonSerializable(typeof(JsonElement))] +[JsonSerializable(typeof(JsonNode))] +[JsonSerializable(typeof(JsonObject))] +[JsonSerializable(typeof(JsonValue))] +[JsonSerializable(typeof(JsonArray))] +[JsonSerializable(typeof(IEnumerable))] +[JsonSerializable(typeof(char))] +[JsonSerializable(typeof(string))] +[JsonSerializable(typeof(int))] +[JsonSerializable(typeof(short))] +[JsonSerializable(typeof(long))] +[JsonSerializable(typeof(uint))] +[JsonSerializable(typeof(ushort))] +[JsonSerializable(typeof(ulong))] +[JsonSerializable(typeof(float))] +[JsonSerializable(typeof(double))] +[JsonSerializable(typeof(decimal))] +[JsonSerializable(typeof(bool))] +[JsonSerializable(typeof(TimeSpan))] +[JsonSerializable(typeof(DateTime))] +[JsonSerializable(typeof(DateTimeOffset))] +internal sealed partial class DurableAgentStateJsonContext : JsonSerializerContext +{ +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonConverter.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonConverter.cs new file mode 100644 index 0000000000..4c7796b36c --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateJsonConverter.cs @@ -0,0 +1,71 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// JSON converter for which performs schema version checks before deserialization. +/// +internal sealed class DurableAgentStateJsonConverter : JsonConverter +{ + private const string SchemaVersionPropertyName = "schemaVersion"; + private const string DataPropertyName = "data"; + + /// + public override DurableAgentState? Read(ref Utf8JsonReader reader, Type typeToConvert, JsonSerializerOptions options) + { + JsonElement? element = JsonSerializer.Deserialize( + ref reader, + DurableAgentStateJsonContext.Default.JsonElement); + + if (element is null) + { + throw new JsonException("The durable agent state is not valid JSON."); + } + + if (!element.Value.TryGetProperty(SchemaVersionPropertyName, out JsonElement versionElement)) + { + throw new InvalidOperationException("The durable agent state is missing the 'schemaVersion' property."); + } + + if (!Version.TryParse(versionElement.GetString(), out Version? schemaVersion)) + { + throw new InvalidOperationException("The durable agent state has an invalid 'schemaVersion' property."); + } + + if (schemaVersion.Major != 1) + { + throw new InvalidOperationException($"The durable agent state schema version '{schemaVersion}' is not supported."); + } + + if (!element.Value.TryGetProperty(DataPropertyName, out JsonElement dataElement)) + { + throw new InvalidOperationException("The durable agent state is missing the 'data' property."); + } + + DurableAgentStateData? data = dataElement.Deserialize( + DurableAgentStateJsonContext.Default.DurableAgentStateData); + + return new DurableAgentState + { + SchemaVersion = schemaVersion.ToString(), + Data = data ?? new DurableAgentStateData() + }; + } + + /// + public override void Write(Utf8JsonWriter writer, DurableAgentState value, JsonSerializerOptions options) + { + writer.WriteStartObject(); + writer.WritePropertyName(SchemaVersionPropertyName); + writer.WriteStringValue(value.SchemaVersion); + writer.WritePropertyName(DataPropertyName); + JsonSerializer.Serialize( + writer, + value.Data, + DurableAgentStateJsonContext.Default.DurableAgentStateData); + writer.WriteEndObject(); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateMessage.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateMessage.cs new file mode 100644 index 0000000000..294453c149 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateMessage.cs @@ -0,0 +1,76 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents a single message within a durable agent state entry. +/// +internal sealed class DurableAgentStateMessage +{ + /// + /// Gets the name of the author of this message. + /// + [JsonPropertyName("authorName")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string? AuthorName { get; init; } + + /// + /// Gets the timestamp when this message was created. + /// + [JsonPropertyName("createdAt")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public DateTimeOffset? CreatedAt { get; init; } + + /// + /// Gets the contents of this message. + /// + [JsonPropertyName("contents")] + public IReadOnlyList Contents { get; init; } = []; + + /// + /// Gets the role of the message sender (e.g., "user", "assistant", "system"). + /// + [JsonPropertyName("role")] + public required string Role { get; init; } + + /// + /// Gets any additional data found during deserialization that does not map to known properties. + /// + [JsonExtensionData] + public IDictionary? ExtensionData { get; set; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original message. + public static DurableAgentStateMessage FromChatMessage(ChatMessage message) + { + return new DurableAgentStateMessage() + { + CreatedAt = message.CreatedAt, + AuthorName = message.AuthorName, + Role = message.Role.ToString(), + Contents = message.Contents.Select(DurableAgentStateContent.FromAIContent).ToList() + }; + } + + /// + /// Converts this to a . + /// + /// A representing this message. + public ChatMessage ToChatMessage() + { + return new ChatMessage() + { + CreatedAt = this.CreatedAt, + AuthorName = this.AuthorName, + Contents = this.Contents.Select(c => c.ToAIContent()).ToList(), + Role = new(this.Role) + }; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateRequest.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateRequest.cs new file mode 100644 index 0000000000..cb8f3c137c --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateRequest.cs @@ -0,0 +1,50 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents a user or system request entry in the durable agent state. +/// +internal sealed class DurableAgentStateRequest : DurableAgentStateEntry +{ + /// + /// Gets the expected response type for this request (e.g. "json" or "text"). + /// + /// + /// If omitted, the expectation is that the agent will respond in plain text. + /// + [JsonPropertyName("responseType")] + public string? ResponseType { get; init; } + + /// + /// Gets the expected response JSON schema for this request, if applicable. + /// + /// + /// This is only applicable when is "json". + /// If omitted, no specific schema is expected. + /// + [JsonPropertyName("responseSchema")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public JsonElement? ResponseSchema { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original request. + public static DurableAgentStateRequest FromRunRequest(RunRequest request) + { + return new DurableAgentStateRequest() + { + CorrelationId = request.CorrelationId, + Messages = request.Messages.Select(DurableAgentStateMessage.FromChatMessage).ToList(), + CreatedAt = request.Messages.Min(m => m.CreatedAt) ?? DateTimeOffset.UtcNow, + ResponseType = request.ResponseFormat is ChatResponseFormatJson ? "json" : "text", + ResponseSchema = (request.ResponseFormat as ChatResponseFormatJson)?.Schema + }; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateResponse.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateResponse.cs new file mode 100644 index 0000000000..216bb6e05c --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateResponse.cs @@ -0,0 +1,49 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents a durable agent state entry that is a response from the agent. +/// +internal sealed class DurableAgentStateResponse : DurableAgentStateEntry +{ + /// + /// Gets the usage details for this state response. + /// + [JsonPropertyName("usage")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public DurableAgentStateUsage? Usage { get; init; } + + /// + /// Creates a from an . + /// + /// The correlation ID linking this response to its request. + /// The to convert. + /// A representing the original response. + public static DurableAgentStateResponse FromRunResponse(string correlationId, AgentRunResponse response) + { + return new DurableAgentStateResponse() + { + CorrelationId = correlationId, + CreatedAt = response.CreatedAt ?? response.Messages.Max(m => m.CreatedAt) ?? DateTimeOffset.UtcNow, + Messages = response.Messages.Select(DurableAgentStateMessage.FromChatMessage).ToList(), + Usage = DurableAgentStateUsage.FromUsage(response.Usage) + }; + } + + /// + /// Converts this back to an . + /// + /// A representing this response. + public AgentRunResponse ToRunResponse() + { + return new AgentRunResponse() + { + CreatedAt = this.CreatedAt, + Messages = this.Messages.Select(m => m.ToChatMessage()).ToList(), + Usage = this.Usage?.ToUsageDetails(), + }; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextContent.cs new file mode 100644 index 0000000000..0f3085465a --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextContent.cs @@ -0,0 +1,38 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the text content for a durable agent state entry. +/// +internal sealed class DurableAgentStateTextContent : DurableAgentStateContent +{ + /// + /// Gets the text message content. + /// + [JsonPropertyName("text")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public required string? Text { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original content. + public static DurableAgentStateTextContent FromTextContent(TextContent content) + { + return new DurableAgentStateTextContent() + { + Text = content.Text + }; + } + + /// + public override AIContent ToAIContent() + { + return new TextContent(this.Text); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextReasoningContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextReasoningContent.cs new file mode 100644 index 0000000000..9b5d6eba34 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateTextReasoningContent.cs @@ -0,0 +1,38 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the text reasoning content for a durable agent state entry. +/// +internal sealed class DurableAgentStateTextReasoningContent : DurableAgentStateContent +{ + /// + /// Gets the text reasoning content. + /// + [JsonPropertyName("text")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public string? Text { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original content. + public static DurableAgentStateTextReasoningContent FromTextReasoningContent(TextReasoningContent content) + { + return new DurableAgentStateTextReasoningContent() + { + Text = content.Text + }; + } + + /// + public override AIContent ToAIContent() + { + return new TextReasoningContent(this.Text); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUnknownContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUnknownContent.cs new file mode 100644 index 0000000000..00a180bba3 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUnknownContent.cs @@ -0,0 +1,43 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the unknown content for a durable agent state entry. +/// +internal sealed class DurableAgentStateUnknownContent : DurableAgentStateContent +{ + /// + /// Gets the serialized unknown content. + /// + [JsonPropertyName("content")] + public required JsonElement Content { get; init; } + + /// + /// Creates a from an . + /// + /// The to convert. + /// A representing the original content. + public static DurableAgentStateUnknownContent FromUnknownContent(AIContent content) + { + return new DurableAgentStateUnknownContent() + { + Content = JsonSerializer.SerializeToElement( + value: content, + jsonTypeInfo: AIJsonUtilities.DefaultOptions.GetTypeInfo(typeof(AIContent))) + }; + } + + /// + public override AIContent ToAIContent() + { + AIContent? content = this.Content.Deserialize( + jsonTypeInfo: AIJsonUtilities.DefaultOptions.GetTypeInfo(typeof(AIContent))) as AIContent; + + return content ?? throw new InvalidOperationException($"The content '{this.Content}' is not valid AI content."); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUriContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUriContent.cs new file mode 100644 index 0000000000..8c6bbb8f24 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUriContent.cs @@ -0,0 +1,44 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents URI content for a durable agent state message. +/// +internal sealed class DurableAgentStateUriContent : DurableAgentStateContent +{ + /// + /// Gets the URI of the content. + /// + [JsonPropertyName("uri")] + public required Uri Uri { get; init; } + + /// + /// Gets the media type of the content. + /// + [JsonPropertyName("mediaType")] + public required string MediaType { get; init; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original content. + public static DurableAgentStateUriContent FromUriContent(UriContent uriContent) + { + return new DurableAgentStateUriContent() + { + MediaType = uriContent.MediaType, + Uri = uriContent.Uri + }; + } + + /// + public override AIContent ToAIContent() + { + return new UriContent(this.Uri, this.MediaType); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsage.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsage.cs new file mode 100644 index 0000000000..1b3714faca --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsage.cs @@ -0,0 +1,71 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics.CodeAnalysis; +using System.Text.Json; +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the token usage details for a durable agent state response. +/// +internal sealed class DurableAgentStateUsage +{ + /// + /// Gets the number of input tokens used. + /// + [JsonPropertyName("inputTokenCount")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public long? InputTokenCount { get; init; } + + /// + /// Gets the number of output tokens used. + /// + [JsonPropertyName("outputTokenCount")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public long? OutputTokenCount { get; init; } + + /// + /// Gets the total number of tokens used. + /// + [JsonPropertyName("totalTokenCount")] + [JsonIgnore(Condition = JsonIgnoreCondition.WhenWritingNull)] + public long? TotalTokenCount { get; init; } + + /// + /// Gets any additional data found during deserialization that does not map to known properties. + /// + [JsonExtensionData] + public IDictionary? ExtensionData { get; set; } + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original usage details. + [return: NotNullIfNotNull(nameof(usage))] + public static DurableAgentStateUsage? FromUsage(UsageDetails? usage) => + usage is not null + ? new() + { + InputTokenCount = usage.InputTokenCount, + OutputTokenCount = usage.OutputTokenCount, + TotalTokenCount = usage.TotalTokenCount + } + : null; + + /// + /// Converts this back to a . + /// + /// A representing this usage. + public UsageDetails ToUsageDetails() + { + return new() + { + InputTokenCount = this.InputTokenCount, + OutputTokenCount = this.OutputTokenCount, + TotalTokenCount = this.TotalTokenCount + }; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsageContent.cs b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsageContent.cs new file mode 100644 index 0000000000..bdad860e62 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/DurableAgentStateUsageContent.cs @@ -0,0 +1,37 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json.Serialization; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.State; + +/// +/// Represents the content for a durable agent state message. +/// +internal sealed class DurableAgentStateUsageContent : DurableAgentStateContent +{ + /// + /// Gets the usage details. + /// + [JsonPropertyName("usage")] + public DurableAgentStateUsage Usage { get; init; } = new(); + + /// + /// Creates a from a . + /// + /// The to convert. + /// A representing the original content. + public static DurableAgentStateUsageContent FromUsageContent(UsageContent content) + { + return new DurableAgentStateUsageContent() + { + Usage = DurableAgentStateUsage.FromUsage(content.Details) + }; + } + + /// + public override AIContent ToAIContent() + { + return new UsageContent(this.Usage.ToUsageDetails()); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/State/README.md b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/README.md new file mode 100644 index 0000000000..09bb13c51e --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/State/README.md @@ -0,0 +1,147 @@ +# Durable Agent State + +Durable agents are represented as durable entities, with each session (i.e. thread) of conversation history stored as JSON-serialized state for an individual entity instance. + +## State Schema + +The [schema](../../../../schemas/durable-agent-entity-state.json) for durable agent state is a distillation of the prompt and response messages accumulated over the lifetime of a session. While these messages and content originate from Microsoft Agent Framework types (for .NET, see [ChatMessage](https://github.com/dotnet/extensions/blob/main/src/Libraries/Microsoft.Extensions.AI.Abstractions/ChatCompletion/ChatMessage.cs) and [AIContent](https://github.com/dotnet/extensions/blob/main/src/Libraries/Microsoft.Extensions.AI.Abstractions/Contents/AIContent.cs)), durable agent state uses its own, parallel, types in order to (1) better manage the versioning and compatibility of serialized state over time, (2) account for agent implementations across languages/platforms (e.g. .NET and Python), as well as (3) ensure consistency for external tools that make use of state data. + +> When new AI content types are added to the Microsoft Agent Framework, equivalent types should be added to the entity state schema as well. The durable agent state "unknown" type can be used when an AI content type is encountered but no equivalent type exists. + +## State Versioning + +The serialized state contains a root `schemaVersion` property, which represents the version of the schema used to serialize data in that state (represented by the `data` property). + +Some versioning considerations: + +- Versions should use semver notation (e.g. `".."`) +- Durable agents should use the version property to determine how to deserialize that state and should not attempt to deserialize semver-incompatible versions +- Newer versions of durable agents should strive to be compatible with older schema versions (e.g. new properties and objects should be optional) +- Durable agents should preserve existing, but unrecognized, properties when serializing state + +## Sample State + +```json +{ + "schemaVersion": "1.0.0", + "data": { + "conversationHistory": [ + { + "$type": "request", + "responseType": "text", + "correlationId": "c338f064f4b44b8d9c21a66e3cda41b2", + "createdAt": "2025-11-04T19:33:05.245476+00:00", + "messages": [ + { + "contents": [ + { + "$type": "text", + "text": "Start the documentation generation workflow for the product \u0027Goldbrew Coffee\u0027" + } + ], + "role": "user" + } + ] + }, + { + "$type": "response", + "usage": { + "inputTokenCount": 595, + "outputTokenCount": 63, + "totalTokenCount": 658 + }, + "correlationId": "c338f064f4b44b8d9c21a66e3cda41b2", + "createdAt": "2025-11-04T19:33:10.47008+00:00", + "messages": [ + { + "authorName": "OrchestratorAgent", + "createdAt": "2025-11-04T19:33:10+00:00", + "contents": [ + { + "$type": "functionCall", + "arguments": { + "productName": "Goldbrew Coffee" + }, + "callId": "call_qWk9Ay4doKYrUBoADK8MBwHf", + "name": "StartDocumentGeneration" + } + ], + "role": "assistant" + }, + { + "authorName": "OrchestratorAgent", + "createdAt": "2025-11-04T19:33:10.47008+00:00", + "contents": [ + { + "$type": "functionResult", + "callId": "call_qWk9Ay4doKYrUBoADK8MBwHf", + "result": "8b835e8f2a6f40faabdba33bd8fd8c74" + } + ], + "role": "tool" + }, + { + "authorName": "OrchestratorAgent", + "createdAt": "2025-11-04T19:33:10+00:00", + "contents": [ + { + "$type": "text", + "text": "The documentation generation workflow for the product \u0022Goldbrew Coffee\u0022 has been started. You can request updates on its status or provide additional input anytime during the process. Let me know how you\u2019d like to proceed!" + } + ], + "role": "assistant" + } + ] + }, + { + "$type": "request", + "responseType": "text", + "correlationId": "71f35b7add6b403fadd0db8a7c137b58", + "createdAt": "2025-11-04T19:33:11.903413+00:00", + "messages": [ + { + "contents": [ + { + "$type": "text", + "text": "Tell the user that you\u0027re starting to gather information for product \u0027Goldbrew Coffee\u0027." + } + ], + "role": "system" + } + ] + }, + { + "$type": "response", + "usage": { + "inputTokenCount": 396, + "outputTokenCount": 48, + "totalTokenCount": 444 + }, + "correlationId": "71f35b7add6b403fadd0db8a7c137b58", + "createdAt": "2025-11-04T19:33:12+00:00", + "messages": [ + { + "authorName": "OrchestratorAgent", + "createdAt": "2025-11-04T19:33:12+00:00", + "contents": [ + { + "$type": "text", + "text": "I am starting to gather information to create product documentation for \u0027Goldbrew Coffee\u0027. If you have any specific details, key features, or requirements you\u0027d like included, please share them. Otherwise, I\u0027ll continue with the standard documentation process." + } + ], + "role": "assistant" + } + ] + } + ] + } +} +``` + +## State Consumers + +Additional tools may make use of durable agent state. Significant changes to the state schema may need corresponding changes to those applications. + +### Durable Task Scheduler Dashboard + +The [Durable Task Scheduler (DTS)](https://learn.microsoft.com/azure/azure-functions/durable/durable-task-scheduler/durable-task-scheduler) Dashboard, while providing general UX for management of durable orchestrations and entities, also has UX specific to the use of durable agents. diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs index 55021172aa..291f042db5 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctionExecutor.cs @@ -2,6 +2,7 @@ using Microsoft.Azure.Functions.Worker; using Microsoft.Azure.Functions.Worker.Context.Features; +using Microsoft.Azure.Functions.Worker.Extensions.Mcp; using Microsoft.Azure.Functions.Worker.Http; using Microsoft.Azure.Functions.Worker.Invocation; using Microsoft.DurableTask.Client; @@ -36,6 +37,7 @@ public async ValueTask ExecuteAsync(FunctionContext context) HttpRequestData? httpRequestData = null; TaskEntityDispatcher? dispatcher = null; DurableTaskClient? durableTaskClient = null; + ToolInvocationContext? mcpToolInvocationContext = null; foreach (var binding in values) { @@ -50,21 +52,25 @@ public async ValueTask ExecuteAsync(FunctionContext context) case DurableTaskClient client: durableTaskClient = client; break; + case ToolInvocationContext toolContext: + mcpToolInvocationContext = toolContext; + break; } } - bool isAgentHttpInvocation = string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentHttpFunctionEntryPoint, StringComparison.Ordinal); + if (durableTaskClient is null) + { + // This is not expected to happen since all built-in functions are + // expected to have a Durable Task client binding. + throw new InvalidOperationException($"Durable Task client binding is missing for the invocation {context.InvocationId}."); + } - if (isAgentHttpInvocation) + if (context.FunctionDefinition.EntryPoint == BuiltInFunctions.RunAgentHttpFunctionEntryPoint) { if (httpRequestData == null) { throw new InvalidOperationException($"HTTP request data binding is missing for the invocation {context.InvocationId}."); } - if (durableTaskClient == null) - { - throw new InvalidOperationException($"Durable Task client binding is missing for the invocation {context.InvocationId}."); - } context.GetInvocationResult().Value = await BuiltInFunctions.RunAgentHttpAsync( httpRequestData, @@ -73,19 +79,32 @@ public async ValueTask ExecuteAsync(FunctionContext context) return; } - // If not HTTP invocation, It will be entity invocation path. - if (dispatcher == null) + if (context.FunctionDefinition.EntryPoint == BuiltInFunctions.RunAgentEntityFunctionEntryPoint) { - throw new InvalidOperationException($"Task entity dispatcher binding is missing for the invocation {context.InvocationId}."); + if (dispatcher is null) + { + throw new InvalidOperationException($"Task entity dispatcher binding is missing for the invocation {context.InvocationId}."); + } + + await BuiltInFunctions.InvokeAgentAsync( + dispatcher, + durableTaskClient, + context); + return; } - if (durableTaskClient == null) + + if (context.FunctionDefinition.EntryPoint == BuiltInFunctions.RunAgentMcpToolFunctionEntryPoint) { - throw new InvalidOperationException($"Durable Task client binding is missing for the invocation {context.InvocationId}."); + if (mcpToolInvocationContext is null) + { + throw new InvalidOperationException($"MCP tool invocation context binding is missing for the invocation {context.InvocationId}."); + } + + context.GetInvocationResult().Value = + await BuiltInFunctions.RunMcpToolAsync(mcpToolInvocationContext, durableTaskClient, context); + return; } - await BuiltInFunctions.InvokeAgentAsync( - dispatcher, - durableTaskClient, - context); + throw new InvalidOperationException($"Unsupported function entry point '{context.FunctionDefinition.EntryPoint}' for invocation {context.InvocationId}."); } } diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs index 80e2a2dfaa..5a13c0cf87 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/BuiltInFunctions.cs @@ -3,6 +3,7 @@ using System.Net; using Microsoft.Agents.AI.DurableTask; using Microsoft.Azure.Functions.Worker; +using Microsoft.Azure.Functions.Worker.Extensions.Mcp; using Microsoft.Azure.Functions.Worker.Http; using Microsoft.DurableTask.Client; using Microsoft.Extensions.AI; @@ -12,8 +13,12 @@ namespace Microsoft.Agents.AI.Hosting.AzureFunctions; internal static class BuiltInFunctions { + internal const string HttpPrefix = "http-"; + internal const string McpToolPrefix = "mcptool-"; + internal static readonly string RunAgentHttpFunctionEntryPoint = $"{typeof(BuiltInFunctions).FullName!}.{nameof(RunAgentHttpAsync)}"; internal static readonly string RunAgentEntityFunctionEntryPoint = $"{typeof(BuiltInFunctions).FullName!}.{nameof(InvokeAgentAsync)}"; + internal static readonly string RunAgentMcpToolFunctionEntryPoint = $"{typeof(BuiltInFunctions).FullName!}.{nameof(RunMcpToolAsync)}"; // Exposed as an entity trigger via AgentFunctionsProvider public static async Task InvokeAgentAsync( @@ -91,19 +96,52 @@ await httpResponse.WriteAsJsonAsync( return httpResponse; } + public static async Task RunMcpToolAsync( + [McpToolTrigger("BuiltInMcpTool")] ToolInvocationContext context, + [DurableClient] DurableTaskClient client, + FunctionContext functionContext) + { + if (context.Arguments is null) + { + throw new ArgumentException("MCP Tool invocation is missing required arguments."); + } + + if (!context.Arguments.TryGetValue("query", out object? queryObj) || queryObj is not string query) + { + throw new ArgumentException("MCP Tool invocation is missing required 'query' argument of type string."); + } + + string agentName = context.Name; + + // Derive session id: try to parse provided threadId, otherwise create a new one. + AgentSessionId sessionId = context.Arguments.TryGetValue("threadId", out object? threadObj) && threadObj is string threadId && !string.IsNullOrWhiteSpace(threadId) + ? AgentSessionId.Parse(threadId) + : new AgentSessionId(agentName, functionContext.InvocationId); + + AIAgent agentProxy = client.AsDurableAgentProxy(functionContext, agentName); + + AgentRunResponse agentResponse = await agentProxy.RunAsync( + message: new ChatMessage(ChatRole.User, query), + thread: new DurableAgentThread(sessionId), + options: null); + + return agentResponse.Text; + } + private static string GetAgentName(FunctionContext context) { - // Remove the trailing _http from the function name + // Check if the function name starts with the HttpPrefix string functionName = context.FunctionDefinition.Name; - if (!functionName.EndsWith("_http", StringComparison.Ordinal)) + if (!functionName.StartsWith(HttpPrefix, StringComparison.Ordinal)) { // This should never happen because the function metadata provider ensures - // that the function name ends with '_http'. + // that the function name starts with the HttpPrefix (http-). throw new InvalidOperationException( - $"Built-in HTTP trigger function name '{functionName}' does not end with '_http'."); + $"Built-in HTTP trigger function name '{functionName}' does not start with '{HttpPrefix}'."); } - return functionName[..^5]; + // Remove the HttpPrefix from the function name to get the agent name. + return functionName[HttpPrefix.Length..]; } /// diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DefaultFunctionsAgentOptionsProvider.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DefaultFunctionsAgentOptionsProvider.cs new file mode 100644 index 0000000000..1039fb5aec --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DefaultFunctionsAgentOptionsProvider.cs @@ -0,0 +1,45 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics.CodeAnalysis; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Provides access to agent-specific options for functions agents by name. +/// Returns default options (HTTP trigger enabled, MCP tool disabled) when no explicit options were configured. +/// +internal sealed class DefaultFunctionsAgentOptionsProvider(IReadOnlyDictionary functionsAgentOptions) + : IFunctionsAgentOptionsProvider +{ + private readonly IReadOnlyDictionary _functionsAgentOptions = + functionsAgentOptions ?? throw new ArgumentNullException(nameof(functionsAgentOptions)); + + // Default options. HTTP trigger enabled, MCP tool disabled. + private static readonly FunctionsAgentOptions s_defaultOptions = new() + { + HttpTrigger = { IsEnabled = true }, + McpToolTrigger = { IsEnabled = false } + }; + + /// + /// Attempts to retrieve the options associated with the specified agent name. + /// If not found, a default options instance (with HTTP trigger enabled) is returned. + /// + /// The name of the agent whose options are to be retrieved. Cannot be null or empty. + /// The options for the specified agent. Will never be null. + /// Always true. Returns configured options if present; otherwise default fallback options. + public bool TryGet(string agentName, [NotNullWhen(true)] out FunctionsAgentOptions? options) + { + ArgumentException.ThrowIfNullOrEmpty(agentName); + + if (this._functionsAgentOptions.TryGetValue(agentName, out FunctionsAgentOptions? existing)) + { + options = existing; + return true; + } + + // If not defined, return default options. + options = s_defaultOptions; + return true; + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs index a8cfd62053..cce8fbd1b0 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentFunctionMetadataTransformer.cs @@ -14,6 +14,8 @@ internal sealed class DurableAgentFunctionMetadataTransformer : IFunctionMetadat { private readonly ILogger _logger; private readonly IReadOnlyDictionary> _agents; + private readonly IServiceProvider _serviceProvider; + private readonly IFunctionsAgentOptionsProvider _functionsAgentOptionsProvider; #pragma warning disable IL3000 // Avoid accessing Assembly file path when publishing as a single file - Azure Functions does not use single-file publishing private static readonly string s_builtInFunctionsScriptFile = Path.GetFileName(typeof(BuiltInFunctions).Assembly.Location); @@ -21,29 +23,45 @@ internal sealed class DurableAgentFunctionMetadataTransformer : IFunctionMetadat public DurableAgentFunctionMetadataTransformer( IReadOnlyDictionary> agents, - ILogger logger) + ILogger logger, + IServiceProvider serviceProvider, + IFunctionsAgentOptionsProvider functionsAgentOptionsProvider) { this._agents = agents ?? throw new ArgumentNullException(nameof(agents)); this._logger = logger ?? throw new ArgumentNullException(nameof(logger)); + this._serviceProvider = serviceProvider ?? throw new ArgumentNullException(nameof(serviceProvider)); + this._functionsAgentOptionsProvider = functionsAgentOptionsProvider ?? throw new ArgumentNullException(nameof(functionsAgentOptionsProvider)); } public string Name => nameof(DurableAgentFunctionMetadataTransformer); public void Transform(IList original) { - this._logger.LogInformation("Transforming function metadata to add durable agent functions. Initial function count: {FunctionCount}", original.Count); + this._logger.LogTransformingFunctionMetadata(original.Count); - foreach (string agentName in this._agents.Keys) + foreach (KeyValuePair> kvp in this._agents) { - this._logger.LogInformation("Registering functions for agent: {AgentName}", agentName); + string agentName = kvp.Key; + + this._logger.LogRegisteringTriggerForAgent(agentName, "entity"); - // Each agent type gets its own entity trigger function. - // We do this 1:1 mapping for improved telemetry. original.Add(CreateAgentTrigger(agentName)); - // Each agent type gets its own HTTP trigger function. - // TODO: Put this behind a configuration option. - original.Add(CreateHttpTrigger(agentName, $"agents/{agentName}/run", nameof(BuiltInFunctions.RunAgentHttpAsync))); + if (this._functionsAgentOptionsProvider.TryGet(agentName, out FunctionsAgentOptions? agentTriggerOptions)) + { + if (agentTriggerOptions.HttpTrigger.IsEnabled) + { + this._logger.LogRegisteringTriggerForAgent(agentName, "http"); + original.Add(CreateHttpTrigger(agentName, $"agents/{agentName}/run")); + } + + if (agentTriggerOptions.McpToolTrigger.IsEnabled) + { + AIAgent agent = kvp.Value(this._serviceProvider); + this._logger.LogRegisteringTriggerForAgent(agentName, "mcpTool"); + original.Add(CreateMcpToolTrigger(agentName, agent.Description)); + } + } } } @@ -63,20 +81,38 @@ private static DefaultFunctionMetadata CreateAgentTrigger(string name) }; } - private static DefaultFunctionMetadata CreateHttpTrigger(string name, string route, string dotnetMethodName) + private static DefaultFunctionMetadata CreateHttpTrigger(string name, string route) { return new DefaultFunctionMetadata() { - Name = $"{name}_http", + Name = $"{BuiltInFunctions.HttpPrefix}{name}", Language = "dotnet-isolated", RawBindings = [ - $$"""{"name":"req","type":"httpTrigger","direction":"In","authLevel":"function","methods": ["post"],"route":"{{route}}"}""", - """{"name":"$return","type":"http","direction":"Out"}""", - """{"name":"client","type":"durableClient","direction":"In"}""" + $"{{\"name\":\"req\",\"type\":\"httpTrigger\",\"direction\":\"In\",\"authLevel\":\"function\",\"methods\": [\"post\"],\"route\":\"{route}\"}}", + "{\"name\":\"$return\",\"type\":\"http\",\"direction\":\"Out\"}", + "{\"name\":\"client\",\"type\":\"durableClient\",\"direction\":\"In\"}" ], EntryPoint = BuiltInFunctions.RunAgentHttpFunctionEntryPoint, ScriptFile = s_builtInFunctionsScriptFile, }; } + + private static DefaultFunctionMetadata CreateMcpToolTrigger(string agentName, string? description) + { + return new DefaultFunctionMetadata + { + Name = $"{BuiltInFunctions.McpToolPrefix}{agentName}", + Language = "dotnet-isolated", + RawBindings = + [ + $$"""{"name":"context","type":"mcpToolTrigger","direction":"In","toolName":"{{agentName}}","description":"{{description}}","toolProperties":"[{\"propertyName\":\"query\",\"propertyType\":\"string\",\"description\":\"The query to send to the agent.\",\"isRequired\":true,\"isArray\":false},{\"propertyName\":\"threadId\",\"propertyType\":\"string\",\"description\":\"Optional thread identifier.\",\"isRequired\":false,\"isArray\":false}]"}""", + """{"name":"query","type":"mcpToolProperty","direction":"In","propertyName":"query","description":"The query to send to the agent","isRequired":true,"dataType":"String","propertyType":"string"}""", + """{"name":"threadId","type":"mcpToolProperty","direction":"In","propertyName":"threadId","description":"The thread identifier.","isRequired":false,"dataType":"String","propertyType":"string"}""", + """{"name":"client","type":"durableClient","direction":"In"}""" + ], + EntryPoint = BuiltInFunctions.RunAgentMcpToolFunctionEntryPoint, + ScriptFile = s_builtInFunctionsScriptFile, + }; + } } diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentsOptionsExtensions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentsOptionsExtensions.cs new file mode 100644 index 0000000000..ad21d8f4e1 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/DurableAgentsOptionsExtensions.cs @@ -0,0 +1,137 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Agents.AI.DurableTask; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Provides extension methods for registering and configuring AI agents in the context of the Azure Functions hosting environment. +/// +public static class DurableAgentsOptionsExtensions +{ + // Registry of agent options. + private static readonly Dictionary s_agentOptions = new(StringComparer.OrdinalIgnoreCase); + + /// + /// Adds an AI agent to the specified DurableAgentsOptions instance and optionally configures agent-specific + /// options. + /// + /// The DurableAgentsOptions instance to which the AI agent will be added. + /// The AI agent to add. The agent's Name property must not be null or empty. + /// An optional delegate to configure agent-specific options. If null, default options are used. + /// The updated instance containing the added AI agent. + public static DurableAgentsOptions AddAIAgent( + this DurableAgentsOptions options, + AIAgent agent, + Action? configure) + { + ArgumentNullException.ThrowIfNull(options); + ArgumentNullException.ThrowIfNull(agent); + ArgumentException.ThrowIfNullOrEmpty(agent.Name); + + // Initialize with default behavior (HTTP trigger enabled) + FunctionsAgentOptions agentOptions = new() { HttpTrigger = { IsEnabled = true } }; + configure?.Invoke(agentOptions); + options.AddAIAgent(agent); + s_agentOptions[agent.Name] = agentOptions; + return options; + } + + /// + /// Adds an AI agent to the specified options and configures trigger support for HTTP and MCP tool invocations. + /// + /// If an agent with the same name already exists in the options, its configuration will be + /// updated. Both triggers can be enabled independently. This method supports method chaining by returning the + /// provided options instance. + /// The options collection to which the AI agent will be added. Cannot be null. + /// The AI agent to add. The agent's Name property must not be null or empty. + /// true to enable an HTTP trigger for the agent; otherwise, false. + /// true to enable an MCP tool trigger for the agent; otherwise, false. + /// The updated instance with the specified AI agent and trigger configuration applied. + public static DurableAgentsOptions AddAIAgent( + this DurableAgentsOptions options, + AIAgent agent, + bool enableHttpTrigger, + bool enableMcpToolTrigger) + { + ArgumentNullException.ThrowIfNull(options); + ArgumentNullException.ThrowIfNull(agent); + ArgumentException.ThrowIfNullOrEmpty(agent.Name); + + FunctionsAgentOptions agentOptions = new(); + agentOptions.HttpTrigger.IsEnabled = enableHttpTrigger; + agentOptions.McpToolTrigger.IsEnabled = enableMcpToolTrigger; + + options.AddAIAgent(agent); + s_agentOptions[agent.Name] = agentOptions; + return options; + } + + /// + /// Registers an AI agent factory with the specified name and optional configuration in the provided + /// DurableAgentsOptions instance. + /// + /// If an agent factory with the same name already exists, its configuration will be replaced. + /// This method enables custom agent registration and configuration for use in durable agent scenarios. + /// The DurableAgentsOptions instance to which the AI agent factory will be added. Cannot be null. + /// The unique name used to identify the AI agent factory. Cannot be null. + /// A delegate that creates an AIAgent instance using the provided IServiceProvider. Cannot be null. + /// An optional action to configure FunctionsAgentOptions for the agent factory. If null, default options are used. + /// The updated DurableAgentsOptions instance containing the registered AI agent factory. + public static DurableAgentsOptions AddAIAgentFactory( + this DurableAgentsOptions options, + string name, + Func factory, + Action? configure) + { + ArgumentNullException.ThrowIfNull(options); + ArgumentNullException.ThrowIfNull(name); + ArgumentNullException.ThrowIfNull(factory); + + // Initialize with default behavior (HTTP trigger enabled) + FunctionsAgentOptions agentOptions = new() { HttpTrigger = { IsEnabled = true } }; + configure?.Invoke(agentOptions); + options.AddAIAgentFactory(name, factory); + s_agentOptions[name] = agentOptions; + return options; + } + + /// + /// Registers an AI agent factory with the specified name and configures trigger options for the agent. + /// + /// If both triggers are disabled, the agent will not be accessible via HTTP or MCP tool + /// endpoints. This method can be used to register multiple agent factories with different configurations. + /// The options object to which the AI agent factory will be added. Cannot be null. + /// The unique name used to identify the AI agent factory. Cannot be null. + /// A delegate that creates an instance of the AI agent using the provided service provider. Cannot be null. + /// true to enable the HTTP trigger for the agent; otherwise, false. + /// true to enable the MCP tool trigger for the agent; otherwise, false. + /// The same DurableAgentsOptions instance, allowing for method chaining. + public static DurableAgentsOptions AddAIAgentFactory( + this DurableAgentsOptions options, + string name, + Func factory, + bool enableHttpTrigger, + bool enableMcpToolTrigger) + { + ArgumentNullException.ThrowIfNull(options); + ArgumentNullException.ThrowIfNull(name); + ArgumentNullException.ThrowIfNull(factory); + + FunctionsAgentOptions agentOptions = new(); + agentOptions.HttpTrigger.IsEnabled = enableHttpTrigger; + agentOptions.McpToolTrigger.IsEnabled = enableMcpToolTrigger; + + options.AddAIAgentFactory(name, factory); + s_agentOptions[name] = agentOptions; + return options; + } + + /// + /// Builds the agentOptions used for dependency injection (read-only copy). + /// + internal static IReadOnlyDictionary GetAgentOptionsSnapshot() + { + return new Dictionary(s_agentOptions, StringComparer.OrdinalIgnoreCase); + } +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsAgentOptions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsAgentOptions.cs new file mode 100644 index 0000000000..6ead7d8be5 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsAgentOptions.cs @@ -0,0 +1,19 @@ +// Copyright (c) Microsoft. All rights reserved. + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Provides configuration options for enabling and customizing function triggers for an agent. +/// +public sealed class FunctionsAgentOptions +{ + /// + /// Gets or sets the configuration options for the HTTP trigger endpoint. + /// + public HttpTriggerOptions HttpTrigger { get; set; } = new(false); + + /// + /// Gets or sets the options used to configure the MCP tool trigger behavior. + /// + public McpToolTriggerOptions McpToolTrigger { get; set; } = new(false); +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs index 614b530dc5..e13c6008ea 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/FunctionsApplicationBuilderExtensions.cs @@ -29,11 +29,15 @@ public static FunctionsApplicationBuilder ConfigureDurableAgents( // The main agent services registration is done in Microsoft.DurableTask.Agents. builder.Services.ConfigureDurableAgents(configure); - builder.Services.TryAddSingleton(); + builder.Services.TryAddSingleton(_ => + new DefaultFunctionsAgentOptionsProvider(DurableAgentsOptionsExtensions.GetAgentOptionsSnapshot())); - // Handling of built-in function execution for Agent HTTP or Entity invocations. + builder.Services.AddSingleton(); + + // Handling of built-in function execution for Agent HTTP, MCP tool, or Entity invocations. builder.UseWhen(static context => string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentHttpFunctionEntryPoint, StringComparison.Ordinal) || + string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentMcpToolFunctionEntryPoint, StringComparison.Ordinal) || string.Equals(context.FunctionDefinition.EntryPoint, BuiltInFunctions.RunAgentEntityFunctionEntryPoint, StringComparison.Ordinal)); builder.Services.AddSingleton(); diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/HttpTriggerOptions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/HttpTriggerOptions.cs new file mode 100644 index 0000000000..2a750c3ae5 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/HttpTriggerOptions.cs @@ -0,0 +1,18 @@ +// Copyright (c) Microsoft. All rights reserved. + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Represents configuration options for the HTTP trigger for an agent. +/// +/// +/// Initializes a new instance of the class. +/// +/// Indicates whether the HTTP trigger is enabled for the agent. +public sealed class HttpTriggerOptions(bool isEnabled) +{ + /// + /// Gets or sets a value indicating whether the HTTP trigger is enabled for the agent. + /// + public bool IsEnabled { get; set; } = isEnabled; +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/IFunctionsAgentOptionsProvider.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/IFunctionsAgentOptionsProvider.cs new file mode 100644 index 0000000000..347b4242a3 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/IFunctionsAgentOptionsProvider.cs @@ -0,0 +1,19 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics.CodeAnalysis; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// Provides access to function trigger options for agents in the Azure Functions hosting environment. +/// +internal interface IFunctionsAgentOptionsProvider +{ + /// + /// Attempts to get trigger options for the specified agent. + /// + /// The agent name. + /// The resulting options if found. + /// True if options exist; otherwise false. + bool TryGet(string agentName, [NotNullWhen(true)] out FunctionsAgentOptions? options); +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Logs.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Logs.cs new file mode 100644 index 0000000000..c49d2b39df --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Logs.cs @@ -0,0 +1,20 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Extensions.Logging; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +internal static partial class Logs +{ + [LoggerMessage( + EventId = 100, + Level = LogLevel.Information, + Message = "Transforming function metadata to add durable agent functions. Initial function count: {FunctionCount}")] + public static partial void LogTransformingFunctionMetadata(this ILogger logger, int functionCount); + + [LoggerMessage( + EventId = 101, + Level = LogLevel.Information, + Message = "Registering {TriggerType} function for agent '{AgentName}'")] + public static partial void LogRegisteringTriggerForAgent(this ILogger logger, string agentName, string triggerType); +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/McpToolTriggerOptions.cs b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/McpToolTriggerOptions.cs new file mode 100644 index 0000000000..8e729f6840 --- /dev/null +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/McpToolTriggerOptions.cs @@ -0,0 +1,18 @@ +// Copyright (c) Microsoft. All rights reserved. + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions; + +/// +/// This class provides configuration options for the MCP tool trigger for an agent. +/// +/// +/// A value indicating whether the MCP tool trigger is enabled for the agent. +/// Set to to enable the trigger; otherwise, . +/// +public sealed class McpToolTriggerOptions(bool isEnabled) +{ + /// + /// Gets or sets a value indicating whether MCP tool trigger is enabled for the agent. + /// + public bool IsEnabled { get; set; } = isEnabled; +} diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj index 7f11ef8fc5..4835039fbd 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/Microsoft.Agents.AI.Hosting.AzureFunctions.csproj @@ -29,6 +29,7 @@ + @@ -40,4 +41,21 @@ + + + + + <_Parameter1>Microsoft.Azure.Functions.Extensions.Mcp + <_Parameter2>1.0.0 + + <_Parameter3>true + <_Parameter3_IsLiteral>true + + diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateContentTests.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateContentTests.cs new file mode 100644 index 0000000000..2fda1178e1 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateContentTests.cs @@ -0,0 +1,324 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using System.Text.Json.Serialization.Metadata; +using Microsoft.Agents.AI.DurableTask.State; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.Tests.Unit.State; + +public sealed class DurableAgentStateContentTests +{ + private static readonly JsonTypeInfo s_stateContentTypeInfo = + DurableAgentStateJsonContext.Default.GetTypeInfo(typeof(DurableAgentStateContent))!; + + [Fact] + public void ErrorContentSerializationDeserialization() + { + // Arrange + ErrorContent errorContent = new("message") + { + Details = "details", + ErrorCode = "code" + }; + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(errorContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + ErrorContent convertedErrorContent = Assert.IsType(convertedContent); + + Assert.Equal(errorContent.Message, convertedErrorContent.Message); + Assert.Equal(errorContent.Details, convertedErrorContent.Details); + Assert.Equal(errorContent.ErrorCode, convertedErrorContent.ErrorCode); + } + + [Fact] + public void TextContentSerializationDeserialization() + { + // Arrange + TextContent textContent = new("Hello, world!"); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(textContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + TextContent convertedTextContent = Assert.IsType(convertedContent); + + Assert.Equal(textContent.Text, convertedTextContent.Text); + } + + [Fact] + public void FunctionCallContentSerializationDeserialization() + { + // Arrange + FunctionCallContent functionCallContent = new( + "call-123", + "MyFunction", + new Dictionary + { + { "param1", 42 }, + { "param2", "value" } + }); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(functionCallContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + FunctionCallContent convertedFunctionCallContent = Assert.IsType(convertedContent); + + Assert.Equal(functionCallContent.CallId, convertedFunctionCallContent.CallId); + Assert.Equal(functionCallContent.Name, convertedFunctionCallContent.Name); + + Assert.NotNull(functionCallContent.Arguments); + Assert.NotNull(convertedFunctionCallContent.Arguments); + Assert.Equal(functionCallContent.Arguments.Keys.Order(), convertedFunctionCallContent.Arguments.Keys.Order()); + + // NOTE: Deserialized dictionaries will have JSON element values rather than the original native types, + // so we only check the keys here. + foreach (string key in functionCallContent.Arguments.Keys) + { + Assert.Equal( + JsonSerializer.Serialize(functionCallContent.Arguments[key]), + JsonSerializer.Serialize(convertedFunctionCallContent.Arguments[key])); + } + } + + [Fact] + public void FunctionResultContentSerializationDeserialization() + { + // Arrange + FunctionResultContent functionResultContent = new("call-123", "return value"); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(functionResultContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + FunctionResultContent convertedFunctionResultContent = Assert.IsType(convertedContent); + + Assert.Equal(functionResultContent.CallId, convertedFunctionResultContent.CallId); + // NOTE: We serialize both results to JSON for comparison since deserialized objects will be + // JSON elements rather than the original native types. + Assert.Equal( + JsonSerializer.Serialize(functionResultContent.Result), + JsonSerializer.Serialize(convertedFunctionResultContent.Result)); + } + + [Theory] + [InlineData("data:text/plain;base64,SGVsbG8sIFdvcmxkIQ==", null)] // Valid data URI containing media type; pass null for separate mediaType parameter. + [InlineData("data:;base64,SGVsbG8sIFdvcmxkIQ==", "text/plain")] // Valid data URI without media type; pass media + public void DataContentSerializationDeserialization(string dataUri, string? mediaType) + { + // Arrange + DataContent dataContent = new(dataUri, mediaType); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(dataContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + DataContent convertedDataContent = Assert.IsType(convertedContent); + + Assert.Equal(dataContent.Uri, convertedDataContent.Uri); + Assert.Equal(dataContent.MediaType, convertedDataContent.MediaType); + } + + [Fact] + public void HostedFileContentSerializationDeserialization() + { + // Arrange + HostedFileContent hostedFileContent = new("file-123"); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(hostedFileContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + HostedFileContent convertedHostedFileContent = Assert.IsType(convertedContent); + + Assert.Equal(hostedFileContent.FileId, convertedHostedFileContent.FileId); + } + + [Fact] + public void HostedVectorStoreContentSerializationDeserialization() + { + // Arrange + HostedVectorStoreContent hostedVectorStoreContent = new("vs-123"); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(hostedVectorStoreContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + HostedVectorStoreContent convertedHostedVectorStoreContent = Assert.IsType(convertedContent); + + Assert.Equal(hostedVectorStoreContent.VectorStoreId, convertedHostedVectorStoreContent.VectorStoreId); + } + + [Fact] + public void TextReasoningContentSerializationDeserialization() + { + // Arrange + TextReasoningContent textReasoningContent = new("Reasoning chain..."); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(textReasoningContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + TextReasoningContent convertedTextReasoningContent = Assert.IsType(convertedContent); + + Assert.Equal(textReasoningContent.Text, convertedTextReasoningContent.Text); + } + + [Fact] + public void UriContentSerializationDeserialization() + { + // Arrange + UriContent uriContent = new(new Uri("https://example.com"), "text/html"); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(uriContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + UriContent convertedUriContent = Assert.IsType(convertedContent); + + Assert.Equal(uriContent.Uri, convertedUriContent.Uri); + Assert.Equal(uriContent.MediaType, convertedUriContent.MediaType); + } + + [Fact] + public void UsageContentSerializationDeserialization() + { + // Arrange + UsageDetails usageDetails = new() + { + InputTokenCount = 10, + OutputTokenCount = 5, + TotalTokenCount = 15 + }; + + UsageContent usageContent = new(usageDetails); + + DurableAgentStateContent durableContent = DurableAgentStateContent.FromAIContent(usageContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + UsageContent convertedUsageContent = Assert.IsType(convertedContent); + + Assert.NotNull(convertedUsageContent.Details); + Assert.Equal(usageDetails.InputTokenCount, convertedUsageContent.Details.InputTokenCount); + Assert.Equal(usageDetails.OutputTokenCount, convertedUsageContent.Details.OutputTokenCount); + Assert.Equal(usageDetails.TotalTokenCount, convertedUsageContent.Details.TotalTokenCount); + } + + [Fact] + public void UnknownContentSerializationDeserialization() + { + // Arrange + TextContent originalContent = new("Some unknown content"); + + DurableAgentStateContent durableContent = DurableAgentStateUnknownContent.FromUnknownContent(originalContent); + + // Act + string jsonContent = JsonSerializer.Serialize(durableContent, s_stateContentTypeInfo); + + DurableAgentStateContent? convertedJsonContent = + (DurableAgentStateContent?)JsonSerializer.Deserialize(jsonContent, s_stateContentTypeInfo); + + // Assert + Assert.NotNull(convertedJsonContent); + + AIContent convertedContent = convertedJsonContent.ToAIContent(); + + TextContent convertedTextContent = Assert.IsType(convertedContent); + + Assert.Equal(originalContent.Text, convertedTextContent.Text); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateMessageTests.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateMessageTests.cs new file mode 100644 index 0000000000..343644d911 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateMessageTests.cs @@ -0,0 +1,47 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using Microsoft.Agents.AI.DurableTask.State; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.DurableTask.Tests.Unit.State; + +public sealed class DurableAgentStateMessageTests +{ + [Fact] + public void MessageSerializationDeserialization() + { + // Arrange + TextContent textContent = new("Hello, world!"); + ChatMessage message = new(ChatRole.User, [textContent]) + { + AuthorName = "User123", + CreatedAt = DateTimeOffset.UtcNow + }; + + DurableAgentStateMessage durableMessage = DurableAgentStateMessage.FromChatMessage(message); + + // Act + string jsonContent = JsonSerializer.Serialize( + durableMessage, + DurableAgentStateJsonContext.Default.GetTypeInfo(typeof(DurableAgentStateMessage))!); + + DurableAgentStateMessage? convertedJsonContent = (DurableAgentStateMessage?)JsonSerializer.Deserialize( + jsonContent, + DurableAgentStateJsonContext.Default.GetTypeInfo(typeof(DurableAgentStateMessage))!); + + // Assert + Assert.NotNull(convertedJsonContent); + + ChatMessage convertedMessage = convertedJsonContent.ToChatMessage(); + + Assert.Equal(message.AuthorName, convertedMessage.AuthorName); + Assert.Equal(message.CreatedAt, convertedMessage.CreatedAt); + Assert.Equal(message.Role, convertedMessage.Role); + + AIContent convertedContent = Assert.Single(convertedMessage.Contents); + TextContent convertedTextContent = Assert.IsType(convertedContent); + + Assert.Equal(textContent.Text, convertedTextContent.Text); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateTests.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateTests.cs new file mode 100644 index 0000000000..f8ce5c6dec --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/State/DurableAgentStateTests.cs @@ -0,0 +1,170 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using Microsoft.Agents.AI.DurableTask.State; + +namespace Microsoft.Agents.AI.DurableTask.Tests.Unit.State; + +public sealed class DurableAgentStateTests +{ + [Fact] + public void InvalidVersion() + { + // Arrange + const string JsonText = """ + { + "schemaVersion": "hello" + } + """; + + // Act & Assert + Assert.Throws( + () => JsonSerializer.Deserialize(JsonText, DurableAgentStateJsonContext.Default.DurableAgentState)); + } + + [Fact] + public void BreakingVersion() + { + // Arrange + const string JsonText = """ + { + "schemaVersion": "2.0.0" + } + """; + + // Act & Assert + Assert.Throws( + () => JsonSerializer.Deserialize(JsonText, DurableAgentStateJsonContext.Default.DurableAgentState)); + } + + [Fact] + public void MissingData() + { + // Arrange + const string JsonText = """ + { + "schemaVersion": "1.0.0" + } + """; + + // Act & Assert + Assert.Throws( + () => JsonSerializer.Deserialize(JsonText, DurableAgentStateJsonContext.Default.DurableAgentState)); + } + + [Fact] + public void ExtraData() + { + // Arrange + const string JsonText = """ + { + "schemaVersion": "1.0.0", + "data": { + "conversationHistory": [], + "extraField": "someValue" + } + } + """; + + // Act + DurableAgentState? state = JsonSerializer.Deserialize(JsonText, DurableAgentStateJsonContext.Default.DurableAgentState); + + // Assert + Assert.NotNull(state?.Data?.ExtensionData); + + Assert.True(state.Data.ExtensionData!.ContainsKey("extraField")); + Assert.Equal("someValue", state.Data.ExtensionData["extraField"]!.ToString()); + + // Act + string jsonState = JsonSerializer.Serialize(state, DurableAgentStateJsonContext.Default.DurableAgentState); + JsonDocument? jsonDocument = JsonSerializer.Deserialize(jsonState); + + // Assert + Assert.NotNull(jsonDocument); + Assert.True(jsonDocument.RootElement.TryGetProperty("data", out JsonElement dataElement)); + Assert.True(dataElement.TryGetProperty("extraField", out JsonElement extraFieldElement)); + Assert.Equal("someValue", extraFieldElement.ToString()); + } + + [Fact] + public void BasicState() + { + // Arrange + const string JsonText = """ + { + "schemaVersion": "1.0.0", + "data": { + "conversationHistory": [ + { + "$type": "request", + "correlationId": "12345", + "createdAt": "2024-01-01T12:00:00Z", + "messages": [ + { + "role": "user", + "contents": [ + { + "$type": "text", + "text": "Hello, agent!" + } + ] + } + ] + }, + { + "$type": "response", + "correlationId": "12345", + "createdAt": "2024-01-01T12:01:00Z", + "messages": [ + { + "role": "agent", + "contents": [ + { + "$type": "text", + "text": "Hi user!" + } + ] + } + ] + } + ] + } + } + """; + + // Act + DurableAgentState? state = JsonSerializer.Deserialize( + JsonText, + DurableAgentStateJsonContext.Default.DurableAgentState); + + // Assert + Assert.NotNull(state); + Assert.Equal("1.0.0", state.SchemaVersion); + Assert.NotNull(state.Data); + + Assert.Collection(state.Data.ConversationHistory, + entry => + { + Assert.IsType(entry); + Assert.Equal("12345", entry.CorrelationId); + Assert.Equal(DateTimeOffset.Parse("2024-01-01T12:00:00Z"), entry.CreatedAt); + Assert.Single(entry.Messages); + Assert.Equal("user", entry.Messages[0].Role); + DurableAgentStateContent content = Assert.Single(entry.Messages[0].Contents); + DurableAgentStateTextContent textContent = Assert.IsType(content); + Assert.Equal("Hello, agent!", textContent.Text); + }, + entry => + { + Assert.IsType(entry); + Assert.Equal("12345", entry.CorrelationId); + Assert.Equal(DateTimeOffset.Parse("2024-01-01T12:01:00Z"), entry.CreatedAt); + Assert.Single(entry.Messages); + Assert.Equal("agent", entry.Messages[0].Role); + Assert.Single(entry.Messages[0].Contents); + DurableAgentStateContent content = Assert.Single(entry.Messages[0].Contents); + DurableAgentStateTextContent textContent = Assert.IsType(content); + Assert.Equal("Hi user!", textContent.Text); + }); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs index 9a924c1bfd..c9a13d7298 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/DurableAgentFunctionMetadataTransformerTests.cs @@ -1,5 +1,6 @@ // Copyright (c) Microsoft. All rights reserved. +using System.Diagnostics.CodeAnalysis; using Microsoft.Azure.Functions.Worker.Core.FunctionMetadata; using Microsoft.Extensions.Logging.Abstractions; @@ -8,65 +9,142 @@ namespace Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests; public sealed class DurableAgentFunctionMetadataTransformerTests { [Theory] - [InlineData(0)] // Empty original metadata list - [InlineData(3)] // Non-empty original metadata list - public void Transform_AddsAgentAndHttpTriggers_ForEachAgent(int initialMetadataEntryCount) + [InlineData(0, false, false, 1)] // entity only + [InlineData(0, true, false, 2)] // entity + http + [InlineData(0, false, true, 2)] // entity + mcp tool + [InlineData(0, true, true, 3)] // entity + http + mcp tool + [InlineData(3, true, true, 3)] // entity + http + mcp tool added to existing + public void Transform_AddsAgentAndHttpTriggers_ForEachAgent( + int initialMetadataEntryCount, + bool enableHttp, + bool enableMcp, + int expectedMetadataCount) { + // Arrange Dictionary> agents = new() { - { "testAgent", _ => null! } + { "testAgent", _ => new TestAgent("testAgent", "Test agent description") } }; - DurableAgentFunctionMetadataTransformer transformer = new(agents, GetTestLogger()); + + FunctionsAgentOptions options = new(); + + options.HttpTrigger.IsEnabled = enableHttp; + options.McpToolTrigger.IsEnabled = enableMcp; + + IFunctionsAgentOptionsProvider agentOptionsProvider = new FakeOptionsProvider(new Dictionary + { + { "testAgent", options } + }); + List metadataList = BuildFunctionMetadataList(initialMetadataEntryCount); + DurableAgentFunctionMetadataTransformer transformer = new( + agents, + NullLogger.Instance, + new FakeServiceProvider(), + agentOptionsProvider); + + // Act transformer.Transform(metadataList); - Assert.Equal(initialMetadataEntryCount + 2, metadataList.Count); // each agent adds 2 functions (http + entity). + // Assert + Assert.Equal(initialMetadataEntryCount + expectedMetadataCount, metadataList.Count); DefaultFunctionMetadata agentTrigger = Assert.IsType(metadataList[initialMetadataEntryCount]); Assert.Equal("dafx-testAgent", agentTrigger.Name); - Assert.Equal("dotnet-isolated", agentTrigger.Language); - Assert.Contains("type\":\"entityTrigger", agentTrigger.RawBindings![0]); - - DefaultFunctionMetadata httpTrigger = Assert.IsType(metadataList[initialMetadataEntryCount + 1]); - Assert.Equal("testAgent_http", httpTrigger.Name); - Assert.Equal("dotnet-isolated", httpTrigger.Language); - Assert.Contains("type\":\"httpTrigger", httpTrigger.RawBindings![0]); - Assert.Contains("route\":\"agents/testAgent/run", httpTrigger.RawBindings[0]); + Assert.Contains("entityTrigger", agentTrigger.RawBindings![0]); + + if (enableHttp) + { + DefaultFunctionMetadata httpTrigger = Assert.IsType(metadataList[initialMetadataEntryCount + 1]); + Assert.Equal("http-testAgent", httpTrigger.Name); + Assert.Contains("httpTrigger", httpTrigger.RawBindings![0]); + } + + if (enableMcp) + { + int mcpIndex = initialMetadataEntryCount + (enableHttp ? 2 : 1); + DefaultFunctionMetadata mcpToolTrigger = Assert.IsType(metadataList[mcpIndex]); + Assert.Equal("mcptool-testAgent", mcpToolTrigger.Name); + Assert.Contains("mcpToolTrigger", mcpToolTrigger.RawBindings![0]); + } } [Fact] public void Transform_AddsTriggers_ForMultipleAgents() { + // Arrange Dictionary> agents = new() { - { "agentA", _ => null! }, - { "agentB", _ => null! }, - { "agentC", _ => null! } + { "agentA", _ => new TestAgent("testAgentA", "Test agent description") }, + { "agentB", _ => new TestAgent("testAgentB", "Test agent description") }, + { "agentC", _ => new TestAgent("testAgentC", "Test agent description") } + }; + + // Helper to create options with configurable triggers + static FunctionsAgentOptions CreateFunctionsAgentOptions(bool httpEnabled, bool mcpEnabled) + { + FunctionsAgentOptions options = new(); + options.HttpTrigger.IsEnabled = httpEnabled; + options.McpToolTrigger.IsEnabled = mcpEnabled; + return options; + } + + FunctionsAgentOptions agentOptionsA = CreateFunctionsAgentOptions(true, false); + FunctionsAgentOptions agentOptionsB = CreateFunctionsAgentOptions(true, true); + FunctionsAgentOptions agentOptionsC = CreateFunctionsAgentOptions(true, true); + + Dictionary functionsAgentOptions = new() + { + { "agentA", agentOptionsA }, + { "agentB", agentOptionsB }, + { "agentC", agentOptionsC } }; - DurableAgentFunctionMetadataTransformer transformer = new(agents, GetTestLogger()); + + IFunctionsAgentOptionsProvider agentOptionsProvider = new FakeOptionsProvider(functionsAgentOptions); + DurableAgentFunctionMetadataTransformer transformer = new( + agents, + NullLogger.Instance, + new FakeServiceProvider(), + agentOptionsProvider); + const int InitialMetadataEntryCount = 2; List metadataList = BuildFunctionMetadataList(InitialMetadataEntryCount); + // Act transformer.Transform(metadataList); - Assert.Equal(InitialMetadataEntryCount + (agents.Count * 2), metadataList.Count); + // Assert + Assert.Equal(InitialMetadataEntryCount + (agents.Count * 2) + 2, metadataList.Count); foreach (string agentName in agents.Keys) { // The agent's entity trigger name is prefixed with "dafx-" DefaultFunctionMetadata entityMeta = Assert.IsType( - Assert.Single(metadataList, m => m.Name == "dafx-" + agentName)); + Assert.Single(metadataList, m => m.Name == $"dafx-{agentName}")); Assert.NotNull(entityMeta.RawBindings); Assert.Contains("entityTrigger", entityMeta.RawBindings[0]); DefaultFunctionMetadata httpMeta = Assert.IsType( - Assert.Single(metadataList, m => m.Name == agentName + "_http")); + Assert.Single(metadataList, m => m.Name == $"http-{agentName}")); Assert.NotNull(httpMeta.RawBindings); Assert.Contains("httpTrigger", httpMeta.RawBindings[0]); Assert.Contains($"agents/{agentName}/run", httpMeta.RawBindings[0]); + + // We expect 2 mcp tool triggers only for agentB and agentC + if (agentName == "agentB" || agentName == "agentC") + { + DefaultFunctionMetadata? mcpToolMeta = + Assert.Single(metadataList, m => m.Name == $"mcptool-{agentName}") as DefaultFunctionMetadata; + Assert.NotNull(mcpToolMeta); + Assert.NotNull(mcpToolMeta.RawBindings); + Assert.Equal(4, mcpToolMeta.RawBindings.Count); + Assert.Contains("mcpToolTrigger", mcpToolMeta.RawBindings[0]); + Assert.Contains("mcpToolProperty", mcpToolMeta.RawBindings[1]); // We expect 2 tool property bindings + Assert.Contains("mcpToolProperty", mcpToolMeta.RawBindings[2]); + } } } @@ -80,10 +158,7 @@ private static List BuildFunctionMetadataList(int numberOfFun Language = "dotnet-isolated", Name = $"SingleAgentOrchestration{i + 1}", EntryPoint = "MyApp.Functions.SingleAgentOrchestration", - RawBindings = - [ - "{\r\n \"name\": \"context\",\r\n \"direction\": \"In\",\r\n \"type\": \"orchestrationTrigger\",\r\n \"properties\": {}\r\n }" - ], + RawBindings = ["{\r\n \"name\": \"context\",\r\n \"direction\": \"In\",\r\n \"type\": \"orchestrationTrigger\",\r\n \"properties\": {}\r\n }"], ScriptFile = "MyApp.dll" }); } @@ -91,5 +166,21 @@ private static List BuildFunctionMetadataList(int numberOfFun return list; } - private static NullLogger GetTestLogger() => new(); + private sealed class FakeServiceProvider : IServiceProvider + { + public object? GetService(Type serviceType) => null; + } + + private sealed class FakeOptionsProvider : IFunctionsAgentOptionsProvider + { + private readonly Dictionary _map; + + public FakeOptionsProvider(Dictionary map) + { + this._map = map ?? throw new ArgumentNullException(nameof(map)); + } + + public bool TryGet(string agentName, [NotNullWhen(true)] out FunctionsAgentOptions? options) + => this._map.TryGetValue(agentName, out options); + } } diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/TestAgent.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/TestAgent.cs new file mode 100644 index 0000000000..b0ad7ec0fe --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests/TestAgent.cs @@ -0,0 +1,33 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Text.Json; +using Microsoft.Extensions.AI; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions.UnitTests; + +internal sealed class TestAgent(string name, string description) : AIAgent +{ + public override string? Name => name; + + public override string? Description => description; + + public override AgentThread GetNewThread() => new DummyAgentThread(); + + public override AgentThread DeserializeThread( + JsonElement serializedThread, + JsonSerializerOptions? jsonSerializerOptions = null) => new DummyAgentThread(); + + public override Task RunAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) => Task.FromResult(new AgentRunResponse([.. messages])); + + public override IAsyncEnumerable RunStreamingAsync( + IEnumerable messages, + AgentThread? thread = null, + AgentRunOptions? options = null, + CancellationToken cancellationToken = default) => throw new NotSupportedException(); + + private sealed class DummyAgentThread : AgentThread; +} diff --git a/schemas/durable-agent-entity-state.json b/schemas/durable-agent-entity-state.json new file mode 100644 index 0000000000..7ec195f89f --- /dev/null +++ b/schemas/durable-agent-entity-state.json @@ -0,0 +1,214 @@ +{ + "$schema": "https://json-schema.org/draft/2020-12/schema", + "$id": "https://github.com/microsoft/agent-framework/schemas/durable-agent-entity-state.json", + "$defs": { + "usage": { + "type": "object", + "description": "Token usage statistics.", + "properties": { + "inputTokenCount": { "type": "integer" }, + "outputTokenCount": { "type": "integer" }, + "totalTokenCount": { "type": "integer" } + } + }, + "dataContent": { + "type": "object", + "description": "The content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "data" }, + "uri": { "type": "string", "description": "The URI that comprises the data." }, + "mediaType": { "type": "string", "description": "The media type of the data." } + }, + "required": ["$type", "uri"] + }, + "errorContent": { + "type": "object", + "description": "The error content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "error" }, + "message": { "type": "string", "description": "The error message." }, + "errorCode": { "type": "string", "description": "The error code." }, + "details": { "description": "Additional details about the error." } + }, + "required": ["$type"] + }, + "hostedFileContent": { + "type": "object", + "description": "The hosted file content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "hostedFile" }, + "fileId": { "type": "string", "description": "The identifier of the hosted file." } + }, + "required": ["$type", "fileId"] + }, + "hostedVectorStoreContent": { + "type": "object", + "description": "The hosted vector store content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "hostedVectorStore" }, + "vectorStoreId": { "type": "string", "description": "The identifier of the hosted vector store." } + }, + "required": ["$type", "vectorStoreId"] + }, + "textReasoningContent": { + "type": "object", + "description": "The reasoning content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "reasoning" }, + "text": { "type": "string", "description": "The reasoning text." } + }, + "required": ["$type"] + }, + "uriContent": { + "type": "object", + "description": "The URI content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "uri" }, + "uri": { "type": "string", "description": "The URI." }, + "mediaType": { "type": "string", "description": "The media type of the URI." } + }, + "required": ["$type", "uri", "mediaType"] + }, + "usageContent": { + "type": "object", + "description": "The usage content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "usage" }, + "usage": { "$ref": "#/$defs/usage" } + }, + "required": ["$type", "usage"] + }, + "textContent": { + "type": "object", + "description": "The text content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "text" }, + "text": { "type": "string", "description": "The text content of the message." } + }, + "required": ["$type", "text"] + }, + "functionCallContent": { + "type": "object", + "description": "The function call content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "functionCall" }, + "callId": { "type": "string", "description": "The identifier of the function being called." }, + "name": { "type": "string", "description": "The name of the function being called." }, + "arguments": { "type": "object", "description": "The arguments provided to the function call." } + }, + "required": ["$type", "callId", "name"] + }, + "functionResultContent": { + "type": "object", + "description": "The function result content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "functionResult" }, + "callId": { "type": "string", "description": "The identifier of the function being called." }, + "result": { "description": "The result returned by the function call." } + }, + "required": ["$type", "callId"] + }, + "unknownContent": { + "type": "object", + "description": "The unknown content of a message exchanged with the agent.", + "properties": { + "$type": { "type": "string", "const": "unknown" }, + "content": { "description": "The unknown message content serialized as JSON." } + }, + "required": ["$type", "content"] + }, + "chatContentItem": { + "oneOf": [ + { "$ref": "#/$defs/dataContent" }, + { "$ref": "#/$defs/errorContent" }, + { "$ref": "#/$defs/functionCallContent" }, + { "$ref": "#/$defs/functionResultContent" }, + { "$ref": "#/$defs/hostedFileContent" }, + { "$ref": "#/$defs/hostedVectorStoreContent" }, + { "$ref": "#/$defs/usageContent" }, + { "$ref": "#/$defs/textContent" }, + { "$ref": "#/$defs/textReasoningContent" }, + { "$ref": "#/$defs/uriContent" }, + { "$ref": "#/$defs/unknownContent" } + ] + }, + "chatMessage": { + "type": "object", + "description": "Single chat message exchanged with the agent.", + "properties": { + "authorName": { "type": "string", "description": "The name of the author of the message." }, + "role": { "type": "string", "enum": ["user", "assistant", "system", "tool"] }, + "contents": { + "type": "array", + "items": { "$ref": "#/$defs/chatContentItem" } + }, + "createdAt": { "type": "string", "format": "date-time", "description": "When this message was created (RFC 3339)." } + }, + "required": ["role", "createdAt"] + }, + "chatMessages": { + "type": "array", + "description": "Ordered list of chat messages.", + "items": { "$ref": "#/$defs/chatMessage" } + }, + "conversationEntry": { + "type": "object", + "properties": { + "createdAt": { "type": "string", "format": "date-time", "description": "When this exchange was created (RFC 3339)." }, + "correlationId": { "type": "string", "description": "An optional correlation ID to group related exchanges." }, + "messages": { "$ref": "#/$defs/chatMessages" } + }, + "required": ["createdAt"] + }, + "agentRequest": { + "allOf": [ + { "$ref": "#/$defs/conversationEntry" } + ], + "description": "The request (i.e. prompt) sent to the agent.", + "properties": { + "$type": { "type": "string", "const": "request" }, + "responseSchema": { + "type": "object", + "description": "If the expected response type is JSON, this schema defines the expected structure of the response." + }, + "responseType": { + "type": "string", + "description": "The expected type of the response (e.g., 'text', 'json')." + } + } + }, + "agentResponse": { + "allOf": [ + { "$ref": "#/$defs/conversationEntry" } + ], + "description": "The response received from the agent.", + "properties": { + "$type": { "type": "string", "const": "response" }, + "usage": { + "$ref": "#/$defs/usage" + } + } + }, + "data": { + "type": "object", + "description": "The durable agent's state data.", + "properties": { + "conversationHistory": { + "type": "array", + "description": "Ordered list of conversation entries.", + "items": { "$ref": "#/$defs/conversationEntry" } + } + } + } + }, + "type": "object", + "properties": { + "schemaVersion": { + "type": "string", + "description": "Semantic version of this state schema. By convention, this should be the first property.", + "pattern": "^\\d+\\.\\d+\\.\\d+$" + }, + "data": { "$ref": "#/$defs/data" } + }, + "required": ["schemaVersion", "data"] +} From 0aa8d30d7f5d94606c65f78ba3f35da9d95f3801 Mon Sep 17 00:00:00 2001 From: Laveesh Rohra Date: Fri, 7 Nov 2025 10:37:03 -0800 Subject: [PATCH 07/19] Python: Add more samples for Azure Functions (#1980) * Move all samples * fix comments * remove dead lines * Make samples simpler --- .../azure_functions/01_single_agent/README.md | 16 +- .../azure_functions/01_single_agent/demo.http | 2 +- .../01_single_agent/function_app.py | 65 +-- ...ings.json => local.settings.json.template} | 0 .../azure_functions/02_multi_agent/README.md | 146 +++++++ .../azure_functions/02_multi_agent/demo.http | 58 +++ .../02_multi_agent/function_app.py | 99 +++++ .../azure_functions/02_multi_agent/host.json | 15 + .../local.settings.json.template | 10 + .../02_multi_agent/requirements.txt | 2 + .../azure_functions/03_callbacks/README.md | 109 +++++ .../azure_functions/03_callbacks/demo.http | 30 ++ .../03_callbacks/function_app.py | 178 ++++++++ .../azure_functions/03_callbacks/host.json | 15 + .../03_callbacks/local.settings.json.template | 10 + .../03_callbacks/requirements.txt | 2 + .../README.md | 56 +++ .../demo.http | 9 + .../function_app.py | 174 ++++++++ .../host.json | 23 + .../local.settings.json.template | 10 + .../requirements.txt | 2 + .../README.md | 61 +++ .../demo.http | 11 + .../function_app.py | 192 +++++++++ .../host.json | 23 + .../local.settings.json.template | 10 + .../requirements.txt | 2 + .../README.md | 27 ++ .../demo.http | 24 ++ .../function_app.py | 273 ++++++++++++ .../host.json | 23 + .../local.settings.json.template | 10 + .../requirements.txt | 2 + .../README.md | 33 ++ .../demo.http | 45 ++ .../function_app.py | 399 ++++++++++++++++++ .../host.json | 23 + .../local.settings.json.template | 10 + .../requirements.txt | 2 + 40 files changed, 2155 insertions(+), 46 deletions(-) rename python/samples/getting_started/azure_functions/01_single_agent/{local.settings.json => local.settings.json.template} (100%) create mode 100644 python/samples/getting_started/azure_functions/02_multi_agent/README.md create mode 100644 python/samples/getting_started/azure_functions/02_multi_agent/demo.http create mode 100644 python/samples/getting_started/azure_functions/02_multi_agent/function_app.py create mode 100644 python/samples/getting_started/azure_functions/02_multi_agent/host.json create mode 100644 python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template create mode 100644 python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt create mode 100644 python/samples/getting_started/azure_functions/03_callbacks/README.md create mode 100644 python/samples/getting_started/azure_functions/03_callbacks/demo.http create mode 100644 python/samples/getting_started/azure_functions/03_callbacks/function_app.py create mode 100644 python/samples/getting_started/azure_functions/03_callbacks/host.json create mode 100644 python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template create mode 100644 python/samples/getting_started/azure_functions/03_callbacks/requirements.txt create mode 100644 python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md create mode 100644 python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/demo.http create mode 100644 python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/function_app.py create mode 100644 python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json create mode 100644 python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template create mode 100644 python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt create mode 100644 python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md create mode 100644 python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/demo.http create mode 100644 python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py create mode 100644 python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json create mode 100644 python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template create mode 100644 python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt create mode 100644 python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md create mode 100644 python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/demo.http create mode 100644 python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py create mode 100644 python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json create mode 100644 python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template create mode 100644 python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt create mode 100644 python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md create mode 100644 python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/demo.http create mode 100644 python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py create mode 100644 python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json create mode 100644 python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template create mode 100644 python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt diff --git a/python/samples/getting_started/azure_functions/01_single_agent/README.md b/python/samples/getting_started/azure_functions/01_single_agent/README.md index cb4b055c5d..4163c29ac3 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/README.md +++ b/python/samples/getting_started/azure_functions/01_single_agent/README.md @@ -32,7 +32,7 @@ source .venv/bin/activate - Azurite storage emulator – the sample uses `AzureWebJobsStorage=UseDevelopmentStorage=true`; start Azurite before launching the app. - Durable Task local backend – `DURABLE_TASK_SCHEDULER_CONNECTION_STRING` expects the Durable Task scheduler listening on `http://localhost:8080` (start the Durable Functions emulator if it is not already running). - Python dependencies – from this folder, run `pip install -r requirements.txt` (or the equivalent in your active virtual environment). -- Environment variables – update `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` in `local.settings.json` with your Azure OpenAI resource details; keep the other values as provided unless you are using custom infrastructure. +- Copy `local.settings.json.template` to `local.settings.json` and update the values for `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` (and optionally `AZURE_OPENAI_API_KEY`) with your Azure OpenAI resource details; keep the other values as provided unless you are using custom infrastructure. ## Running the Sample @@ -47,3 +47,17 @@ curl -X POST http://localhost:7071/api/agents/Joker/run \ ``` The agent responds with a JSON payload that includes the generated joke. + +## Expected Output + +When you send a POST request with plain-text input, the Functions host responds with an HTTP 202 and queues the request for the durable agent entity. A typical response body looks like the following: + +```json +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "Tell me a short joke about cloud computing.", + "conversation_id": "", + "correlation_id": "" +} +``` diff --git a/python/samples/getting_started/azure_functions/01_single_agent/demo.http b/python/samples/getting_started/azure_functions/01_single_agent/demo.http index cc93ee79b5..1f7cbacba1 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/demo.http +++ b/python/samples/getting_started/azure_functions/01_single_agent/demo.http @@ -14,7 +14,7 @@ Content-Type: application/json { "message": "Add a security element to it.", "sessionId": "session-003", - "waitForCompletion": true + "waitForCompletion": false } ### Ask for a joke (plain text payload) diff --git a/python/samples/getting_started/azure_functions/01_single_agent/function_app.py b/python/samples/getting_started/azure_functions/01_single_agent/function_app.py index f317459321..1ba1997906 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/function_app.py +++ b/python/samples/getting_started/azure_functions/01_single_agent/function_app.py @@ -1,61 +1,38 @@ -"""Azure Functions single-agent sample showcasing how to host a single Azure OpenAI agent. +"""Host a single Azure OpenAI-powered agent inside Azure Functions. -The sample reads the required endpoint and deployment environment variables, configures the Azure OpenAI chat client (using either an API key or Azure CLI credentials), and registers a joke-telling agent with an Azure Functions app that can optionally expose a health check. +Components used in this sample: +- AzureOpenAIChatClient to call the Azure OpenAI chat deployment. +- AgentFunctionApp to expose HTTP endpoints via the Durable Functions extension. -Summary: Demonstrates configuring and deploying a single 'Joker' agent via Azure Functions.""" +Prerequisites: set `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` (plus `AZURE_OPENAI_API_KEY` or Azure CLI authentication) before starting the Functions host.""" -import logging -import os from typing import Any -from azure.identity import AzureCliCredential from agent_framework.azure import AzureOpenAIChatClient from agent_framework.azurefunctions import AgentFunctionApp - -logger = logging.getLogger(__name__) - - -AZURE_OPENAI_ENDPOINT_ENV = "AZURE_OPENAI_ENDPOINT" -AZURE_OPENAI_DEPLOYMENT_ENV = "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME" -AZURE_OPENAI_API_KEY_ENV = "AZURE_OPENAI_API_KEY" - - -def _build_client_kwargs() -> dict[str, Any]: - """Construct Azure OpenAI client options.""" - - endpoint = os.getenv(AZURE_OPENAI_ENDPOINT_ENV) - if not endpoint: - raise RuntimeError(f"{AZURE_OPENAI_ENDPOINT_ENV} environment variable is required.") - - deployment = os.getenv(AZURE_OPENAI_DEPLOYMENT_ENV) - if not deployment: - raise RuntimeError(f"{AZURE_OPENAI_DEPLOYMENT_ENV} environment variable is required.") - - logger.info("[SingleAgent] Using deployment '%s' at '%s'", deployment, endpoint) - - client_kwargs: dict[str, Any] = { - "endpoint": endpoint, - "deployment_name": deployment, - } - - api_key = os.getenv(AZURE_OPENAI_API_KEY_ENV) - if api_key: - client_kwargs["api_key"] = api_key - else: - client_kwargs["credential"] = AzureCliCredential() - - return client_kwargs - - +# 1. Instantiate the agent with the chosen deployment and instructions. def _create_agent() -> Any: """Create the Joker agent.""" - client_kwargs = _build_client_kwargs() - return AzureOpenAIChatClient(**client_kwargs).create_agent( + return AzureOpenAIChatClient().create_agent( name="Joker", instructions="You are good at telling jokes.", ) +# 2. Register the agent with AgentFunctionApp so Azure Functions exposes the required triggers. app = AgentFunctionApp(agents=[_create_agent()], enable_health_check=True) + +""" +Expected output when invoking `POST /api/agents/Joker/run` with plain-text input: + +HTTP/1.1 202 Accepted +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "Tell me a short joke about cloud computing.", + "conversation_id": "", + "correlation_id": "" +} +""" diff --git a/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json b/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json.template similarity index 100% rename from python/samples/getting_started/azure_functions/01_single_agent/local.settings.json rename to python/samples/getting_started/azure_functions/01_single_agent/local.settings.json.template diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/README.md b/python/samples/getting_started/azure_functions/02_multi_agent/README.md new file mode 100644 index 0000000000..14dfd5744c --- /dev/null +++ b/python/samples/getting_started/azure_functions/02_multi_agent/README.md @@ -0,0 +1,146 @@ +# Multi-Agent Sample + +This sample demonstrates how to use the Durable Extension for Agent Framework to create an Azure Functions app that hosts multiple AI agents and provides direct HTTP API access for interactive conversations with each agent. + +## Key Concepts Demonstrated + +- Using the Microsoft Agent Framework to define multiple AI agents with unique names and instructions. +- Registering multiple agents with the Function app and running them using HTTP. +- Conversation management (via session IDs) for isolated interactions per agent. +- Two different methods for registering agents: list-based initialization and incremental addition. + +## Environment Setup + +### 1. Create and activate a virtual environment + +**Windows (PowerShell):** +```powershell +python -m venv .venv +.venv\Scripts\Activate.ps1 +``` + +**Linux/macOS:** +```bash +python -m venv .venv +source .venv/bin/activate +``` + +### 2. Install dependencies + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +### 3. Configure local settings + +Copy `local.settings.json.template` to `local.settings.json`, then set the Azure OpenAI values (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and optionally `AZURE_OPENAI_API_KEY`) to match your environment. + +## Running the Sample + +With the environment setup and function app running, you can test the sample by sending HTTP requests to the different agent endpoints. + +You can use the `demo.http` file to send messages to the agents, or a command line tool like `curl` as shown below: + +### Test the Weather Agent + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/agents/WeatherAgent/run \ + -H "Content-Type: application/json" \ + -d '{"message": "What is the weather in Seattle?"}' +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/WeatherAgent/run ` + -ContentType application/json ` + -Body '{"message": "What is the weather in Seattle?"}' +``` + +Expected response: +```json +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "What is the weather in Seattle?", + "conversation_id": "", + "correlation_id": "" +} +``` + +### Test the Math Agent + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/agents/MathAgent/run \ + -H "Content-Type: application/json" \ + -d '{"message": "Calculate a 20% tip on a $50 bill"}' +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/MathAgent/run ` + -ContentType application/json ` + -Body '{"message": "Calculate a 20% tip on a $50 bill"}' +``` + +Expected response: +```json +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "Calculate a 20% tip on a $50 bill", + "conversation_id": "", + "correlation_id": "" +} +``` + +### Check Health + +Bash (Linux/macOS/WSL): + +```bash +curl http://localhost:7071/api/health +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Uri http://localhost:7071/api/health +``` + +Expected response: +```json +{ + "status": "healthy", + "agents": [ + {"name": "WeatherAgent", "type": "ChatAgent"}, + {"name": "MathAgent", "type": "ChatAgent"} + ], + "agent_count": 2 +} +``` + +## Code Structure + +The sample demonstrates two ways to register multiple agents: + +### Option 1: Pass list of agents during initialization +```python +app = AgentFunctionApp(agents=[weather_agent, math_agent]) +``` + +### Option 2: Add agents incrementally (commented in sample) +```python +app = AgentFunctionApp() +app.add_agent(weather_agent) +app.add_agent(math_agent) +``` + +Each agent automatically gets: +- `POST /api/agents/{agent_name}/run` - Send messages to the agent + diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/demo.http b/python/samples/getting_started/azure_functions/02_multi_agent/demo.http new file mode 100644 index 0000000000..c685a01902 --- /dev/null +++ b/python/samples/getting_started/azure_functions/02_multi_agent/demo.http @@ -0,0 +1,58 @@ +### DAFx Multi-Agent Function App - HTTP Samples +### Use with the VS Code REST Client extension or any HTTP client +### +### API Structure: +### - POST /api/agents/{agentName}/run -> Send a message to an agent +### - GET /api/health -> Health check and agent metadata + +### Variables +@baseUrl = http://localhost:7071 +@weatherAgentName = WeatherAgent +@mathAgentName = MathAgent +@weatherAgentRoute = {{baseUrl}}/api/agents/{{weatherAgentName}} +@mathAgentRoute = {{baseUrl}}/api/agents/{{mathAgentName}} +@healthRoute = {{baseUrl}}/api/health + +### Health Check +# Confirms the Azure Functions app is running and both agents are registered +# Expected response: +# { +# "status": "healthy", +# "agents": [ +# {"name": "WeatherAgent", "type": "AzureOpenAIAssistantsAgent"}, +# {"name": "MathAgent", "type": "AzureOpenAIAssistantsAgent"} +# ], +# "agent_count": 2 +# } +GET {{healthRoute}} + +### + +### Weather Agent - Current Conditions +# Tests the Weather agent's tool-assisted response path +# Expected response: { "response": "The weather in Seattle...", "status": "success" } +POST {{weatherAgentRoute}}/run +Content-Type: application/json + +{ + "message": "What is the weather in Seattle?", + "sessionId": "weather-user-001", + "waitForCompletion": true +} + +### + + +### Math Agent - Tip Calculation +# Exercises the Math agent with a calculation request +# Expected response: { "response": "A 20% tip on a $50 bill is $10...", "status": "success" } +POST {{mathAgentRoute}}/run +Content-Type: application/json + +{ + "message": "Calculate a 20% tip on a $50 bill", + "sessionId": "math-user-001" +} + +### + diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/function_app.py b/python/samples/getting_started/azure_functions/02_multi_agent/function_app.py new file mode 100644 index 0000000000..dfede85d0f --- /dev/null +++ b/python/samples/getting_started/azure_functions/02_multi_agent/function_app.py @@ -0,0 +1,99 @@ +"""Host multiple Azure OpenAI agents inside a single Azure Functions app. + +Components used in this sample: +- AzureOpenAIChatClient to create agents bound to a shared Azure OpenAI deployment. +- AgentFunctionApp to register multiple agents and expose dedicated HTTP endpoints. +- Custom tool functions to demonstrate tool invocation from different agents. + +Prerequisites: set `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, plus either +`AZURE_OPENAI_API_KEY` or authenticate with Azure CLI before starting the Functions host.""" + +import logging +from typing import Any + +from agent_framework.azure import AzureOpenAIChatClient +from agent_framework.azurefunctions import AgentFunctionApp + + +logger = logging.getLogger(__name__) + + +def get_weather(location: str) -> dict[str, Any]: + """Get current weather for a location.""" + + logger.info(f"🔧 [TOOL CALLED] get_weather(location={location})") + result = { + "location": location, + "temperature": 72, + "conditions": "Sunny", + "humidity": 45, + } + logger.info(f"✓ [TOOL RESULT] {result}") + return result + + +def calculate_tip(bill_amount: float, tip_percentage: float = 15.0) -> dict[str, Any]: + """Calculate tip amount and total bill.""" + + logger.info( + f"🔧 [TOOL CALLED] calculate_tip(bill_amount={bill_amount}, tip_percentage={tip_percentage})" + ) + tip = bill_amount * (tip_percentage / 100) + total = bill_amount + tip + result = { + "bill_amount": bill_amount, + "tip_percentage": tip_percentage, + "tip_amount": round(tip, 2), + "total": round(total, 2), + } + logger.info(f"✓ [TOOL RESULT] {result}") + return result + + +# 1. Create multiple agents, each with its own instruction set and tools. +chat_client = AzureOpenAIChatClient() + +weather_agent = chat_client.create_agent( + name="WeatherAgent", + instructions="You are a helpful weather assistant. Provide current weather information.", + tools=[get_weather], +) + +math_agent = chat_client.create_agent( + name="MathAgent", + instructions="You are a helpful math assistant. Help users with calculations like tip calculations.", + tools=[calculate_tip], +) + + +# 2. Register both agents with AgentFunctionApp to expose their HTTP routes and health check. +app = AgentFunctionApp(agents=[weather_agent, math_agent], enable_health_check=True) + +# Option 2: Add agents after initialization (commented out as we're using Option 1) +# app = AgentFunctionApp(enable_health_check=True) +# app.add_agent(weather_agent) +# app.add_agent(math_agent) + +""" +Expected output when invoking `POST /api/agents/WeatherAgent/run`: + +HTTP/1.1 202 Accepted +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "What is the weather in Seattle?", + "conversation_id": "", + "correlation_id": "" +} + +Expected output when invoking `POST /api/agents/MathAgent/run`: + +HTTP/1.1 202 Accepted +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "Calculate a 20% tip on a $50 bill", + "conversation_id": "", + "correlation_id": "" +} +""" diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/host.json b/python/samples/getting_started/azure_functions/02_multi_agent/host.json new file mode 100644 index 0000000000..d1a0a92006 --- /dev/null +++ b/python/samples/getting_started/azure_functions/02_multi_agent/host.json @@ -0,0 +1,15 @@ +{ + "version": "2.0", + "logging": { + "applicationInsights": { + "samplingSettings": { + "isEnabled": true, + "maxTelemetryItemsPerSecond": 20 + } + } + }, + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle", + "version": "[4.*, 5.0.0)" + } +} diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template b/python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt b/python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt new file mode 100644 index 0000000000..8aa2c75d80 --- /dev/null +++ b/python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt @@ -0,0 +1,2 @@ +agent-framework-azurefunctions +azure-identity \ No newline at end of file diff --git a/python/samples/getting_started/azure_functions/03_callbacks/README.md b/python/samples/getting_started/azure_functions/03_callbacks/README.md new file mode 100644 index 0000000000..979a31b2ec --- /dev/null +++ b/python/samples/getting_started/azure_functions/03_callbacks/README.md @@ -0,0 +1,109 @@ +# Callback Telemetry Sample + +This sample demonstrates how to use the Durable Extension for Agent Framework's response callbacks to observe +streaming updates and final agent responses in real time. The `ConversationAuditTrail` callback +records each chunk received from the Azure OpenAI agent and exposes the collected events through +an HTTP API that can be polled by a web client or dashboard. + +## Highlights + +- Registers a default `AgentResponseCallbackProtocol` implementation that logs streaming and final + responses. +- Persists callback events in an in-memory store and exposes them via + `GET /api/agents/{agentName}/callbacks/{conversationId}`. +- Shows how to reset stored callback events with `DELETE /api/agents/{agentName}/callbacks/{conversationId}`. +- Works alongside the standard `/api/agents/{agentName}/run` endpoint so you can correlate callback + telemetry with agent responses. + +## Prerequisites + +- Python 3.11+ +- Azure Functions Core Tools v4 +- Access to an Azure OpenAI deployment (configure the environment variables listed in + `local.settings.json` or export them in your shell) +- Dependencies from `requirements.txt` installed in your environment + +> **Note:** The sample stores callback events in memory for simplicity. For production scenarios you +> should persist events to Application Insights, Azure Storage, Cosmos DB, or another durable store. + +## Running the Sample + +1. Create and activate a virtual environment: + + **Windows (PowerShell):** + ```powershell + python -m venv .venv + .venv\Scripts\Activate.ps1 + ``` + + **Linux/macOS:** + ```bash + python -m venv .venv + source .venv/bin/activate + ``` + +2. Install dependencies (from the repository root or this directory): + + ```powershell + pip install -r requirements.txt + ``` + +3. Copy `local.settings.json.template` to `local.settings.json` and update the values (or export them as environment variables) with your Azure resources. + +4. Start the Functions host: + + ```powershell + func start + ``` + +5. Use the [`demo.http`](./demo.http) file (VS Code REST Client) or any HTTP client to: + - Send a message to the agent: `POST /api/agents/CallbackAgent/run` + - Query callback telemetry: `GET /api/agents/CallbackAgent/callbacks/{conversationId}` + - Clear stored events: `DELETE /api/agents/CallbackAgent/callbacks/{conversationId}` + +Example workflow after the host starts: + +```text +POST /api/agents/CallbackAgent/run # send a conversation message +GET /api/agents/CallbackAgent/callbacks/test-session # inspect streaming + final events +DELETE /api/agents/CallbackAgent/callbacks/test-session # reset telemetry for the session +``` + +The GET endpoint returns an array of events captured by the callback, including timestamps, +streaming chunk previews, and the final response metadata. This makes it easy to build real-time +UI updates or audit logs on top of Durable Agents. + +## Expected Output + +When you call `GET /api/agents/CallbackAgent/callbacks/{conversationId}` after sending a request to the agent, +the API returns a list of streaming and final callback events similar to the following: + +```json +[ + { + "timestamp": "2024-01-01T00:00:00Z", + "agent_name": "CallbackAgent", + "conversation_id": "", + "correlation_id": "", + "request_message": "Tell me a short joke", + "event_type": "stream", + "update_kind": "text", + "text": "Sure, here's a joke..." + }, + { + "timestamp": "2024-01-01T00:00:01Z", + "agent_name": "CallbackAgent", + "conversation_id": "", + "correlation_id": "", + "request_message": "Tell me a short joke", + "event_type": "final", + "response_text": "Why did the cloud...", + "usage": { + "type": "usage_details", + "input_token_count": 159, + "output_token_count": 29, + "total_token_count": 188 + } + } +] +``` diff --git a/python/samples/getting_started/azure_functions/03_callbacks/demo.http b/python/samples/getting_started/azure_functions/03_callbacks/demo.http new file mode 100644 index 0000000000..9f7e9efec6 --- /dev/null +++ b/python/samples/getting_started/azure_functions/03_callbacks/demo.http @@ -0,0 +1,30 @@ +### Callback Sample - API Tests +### Use with VS Code REST Client or another HTTP testing tool. +### +### Endpoints introduced in this sample: +### - POST /api/agents/{agentName}/run : send a message to the agent +### - GET /api/agents/{agentName}/callbacks/{conversationId} : retrieve callback telemetry +### - DELETE /api/agents/{agentName}/callbacks/{conversationId} : clear stored callback events + +@baseUrl = http://localhost:7071 +@agentName = CallbackAgent +@agentRoute = {{baseUrl}}/api/agents/{{agentName}} +@conversationId = test-stream-00 + +### Health Check +GET {{baseUrl}}/api/health + +### Send message (callbacks will capture streaming + final response) +POST {{agentRoute}}/run +Content-Type: application/json + +{ + "message": "Generate a short weather update for Paris and mention streaming callbacks.", + "sessionId": "{{conversationId}}" +} + +### Inspect callback telemetry +GET {{agentRoute}}/callbacks/{{conversationId}} + +### Clear stored callback telemetry for the conversation +DELETE {{agentRoute}}/callbacks/{{conversationId}} diff --git a/python/samples/getting_started/azure_functions/03_callbacks/function_app.py b/python/samples/getting_started/azure_functions/03_callbacks/function_app.py new file mode 100644 index 0000000000..ffbb2f387a --- /dev/null +++ b/python/samples/getting_started/azure_functions/03_callbacks/function_app.py @@ -0,0 +1,178 @@ +"""Capture agent response callbacks inside Azure Functions. + +Components used in this sample: +- AzureOpenAIChatClient to build an agent that streams interim updates. +- AgentFunctionApp with a default AgentResponseCallbackProtocol implementation. +- Azure Functions HTTP triggers that expose callback telemetry via REST. + +Prerequisites: set `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and either +`AZURE_OPENAI_API_KEY` or authenticate with Azure CLI before starting the Functions host.""" + +import json +import logging +from collections import defaultdict +from datetime import datetime, timezone +from typing import Any, DefaultDict + +import azure.functions as func +from agent_framework import AgentRunResponseUpdate +from agent_framework.azure import AzureOpenAIChatClient + +from agent_framework.azurefunctions import AgentFunctionApp, AgentCallbackContext, AgentResponseCallbackProtocol + +logger = logging.getLogger(__name__) + + +# 1. Maintain an in-memory store for callback events (replace with durable storage in production). +CallbackStore = DefaultDict[str, list[dict[str, Any]]] +callback_events: CallbackStore = defaultdict(list) + + +def _serialize_usage(usage: Any) -> Any: + """Best-effort serialization for agent usage metadata.""" + + if usage is None: + return None + + model_dump = getattr(usage, "model_dump", None) + if callable(model_dump): + return model_dump() + + to_dict = getattr(usage, "to_dict", None) + if callable(to_dict): + return to_dict() + + return str(usage) + + +class ConversationAuditTrail(AgentResponseCallbackProtocol): + """Callback that records streaming chunks and final responses for later inspection.""" + + def __init__(self) -> None: + self._logger = logging.getLogger("durableagent.samples.callbacks.audit") + + async def on_streaming_response_update( + self, + update: AgentRunResponseUpdate, + context: AgentCallbackContext, + ) -> None: + event = self._build_base_event(context) + event.update( + { + "event_type": "stream", + "update_kind": getattr(update, "kind", "text"), + "text": getattr(update, "text", None), + } + ) + conversation_id = context.conversation_id or "" + callback_events[conversation_id].append(event) + + preview = event.get("text") or event.get("update_kind") + self._logger.info( + "[%s][%s] streaming chunk: %s", + context.agent_name, + context.correlation_id, + preview, + ) + + async def on_agent_response(self, response, context: AgentCallbackContext) -> None: + event = self._build_base_event(context) + event.update( + { + "event_type": "final", + "response_text": getattr(response, "text", None), + "usage": _serialize_usage(getattr(response, "usage_details", None)), + } + ) + conversation_id = context.conversation_id or "" + callback_events[conversation_id].append(event) + + self._logger.info( + "[%s][%s] final response recorded", + context.agent_name, + context.correlation_id, + ) + + @staticmethod + def _build_base_event(context: AgentCallbackContext) -> dict[str, Any]: + return { + "timestamp": datetime.now(timezone.utc).isoformat(), + "agent_name": context.agent_name, + "conversation_id": context.conversation_id, + "correlation_id": context.correlation_id, + "request_message": context.request_message, + } + + +# 2. Create the agent that will emit streaming updates and final responses. +callback_agent = AzureOpenAIChatClient().create_agent( + name="CallbackAgent", + instructions=( + "You are a friendly assistant that narrates actions while responding. " + "Keep answers concise and acknowledge when callbacks capture streaming updates." + ), +) + + +# 3. Register the agent inside AgentFunctionApp with a default callback instance. +audit_callback = ConversationAuditTrail() +app = AgentFunctionApp(enable_health_check=True, default_callback=audit_callback) +app.add_agent(callback_agent) + + +@app.function_name("get_callback_events") +@app.route(route="agents/{agent_name}/callbacks/{conversationId}", methods=["GET"]) +async def get_callback_events(req: func.HttpRequest) -> func.HttpResponse: + """Return all callback events collected for a conversation.""" + + conversation_id = req.route_params.get("conversationId", "") + events = callback_events.get(conversation_id, []) + return func.HttpResponse( + json.dumps(events, indent=2), + status_code=200, + mimetype="application/json", + ) + + +@app.function_name("reset_callback_events") +@app.route(route="agents/{agent_name}/callbacks/{conversationId}", methods=["DELETE"]) +async def reset_callback_events(req: func.HttpRequest) -> func.HttpResponse: + """Clear the stored callback events for a conversation.""" + + conversation_id = req.route_params.get("conversationId", "") + callback_events.pop(conversation_id, None) + return func.HttpResponse(status_code=204) + + +""" +Expected output when querying `GET /api/agents/CallbackAgent/callbacks/{conversationId}`: + +HTTP/1.1 200 OK +[ + { + "timestamp": "2024-01-01T00:00:00Z", + "agent_name": "CallbackAgent", + "conversation_id": "", + "correlation_id": "", + "request_message": "Tell me a short joke", + "event_type": "stream", + "update_kind": "text", + "text": "Sure, here's a joke..." + }, + { + "timestamp": "2024-01-01T00:00:01Z", + "agent_name": "CallbackAgent", + "conversation_id": "", + "correlation_id": "", + "request_message": "Tell me a short joke", + "event_type": "final", + "response_text": "Why did the cloud...", + "usage": { + "type": "usage_details", + "input_token_count": 159, + "output_token_count": 29, + "total_token_count": 188 + } + } +] +""" diff --git a/python/samples/getting_started/azure_functions/03_callbacks/host.json b/python/samples/getting_started/azure_functions/03_callbacks/host.json new file mode 100644 index 0000000000..d1a0a92006 --- /dev/null +++ b/python/samples/getting_started/azure_functions/03_callbacks/host.json @@ -0,0 +1,15 @@ +{ + "version": "2.0", + "logging": { + "applicationInsights": { + "samplingSettings": { + "isEnabled": true, + "maxTelemetryItemsPerSecond": 20 + } + } + }, + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle", + "version": "[4.*, 5.0.0)" + } +} diff --git a/python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template b/python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/03_callbacks/requirements.txt b/python/samples/getting_started/azure_functions/03_callbacks/requirements.txt new file mode 100644 index 0000000000..8aa2c75d80 --- /dev/null +++ b/python/samples/getting_started/azure_functions/03_callbacks/requirements.txt @@ -0,0 +1,2 @@ +agent-framework-azurefunctions +azure-identity \ No newline at end of file diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md new file mode 100644 index 0000000000..816cea8fcb --- /dev/null +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md @@ -0,0 +1,56 @@ +# Single Agent Orchestration Sample (Python) + +This sample shows how to chain two invocations of the same agent inside a Durable Functions orchestration while +preserving the conversation state between runs. + +## Key Concepts +- Deterministic orchestrations that make sequential agent calls on a shared thread +- Reusing an agent thread to carry conversation history across invocations +- HTTP endpoints for starting the orchestration and polling for status/output + +## Prerequisites +- Python 3.11+ +- Azure Functions Core Tools v4 +- Local Azure Storage / Azurite and the Durable Task sidecar running +- Environment variables configured: + - `AZURE_OPENAI_ENDPOINT` + - `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` + - `AZURE_OPENAI_API_KEY` (omit if using Azure CLI authentication) +- Copy `local.settings.json.template` to `local.settings.json` and populate those keys (and any storage settings) before running the Functions host. +- Dependencies installed: `pip install -r requirements.txt` + +## Running the Sample +1. Start the Functions host: `func start`. +2. Kick off the orchestration: + ```bash + curl -X POST http://localhost:7071/api/singleagent/run + ``` +3. Copy the `statusQueryGetUri` from the response and poll until the orchestration completes: + ```bash + curl http://localhost:7071/api/singleagent/status/ + ``` + +The orchestration first requests an inspirational sentence from the agent, then refines the initial response while +keeping it under 25 words—mirroring the behaviour of the corresponding .NET sample. + +## Expected Output + +Sample response when starting the orchestration: + +```json +{ + "message": "Single-agent orchestration started.", + "instanceId": "ebb5c1df123e4d6fb8e7d703ffd0d0b0", + "statusQueryGetUri": "http://localhost:7071/api/singleagent/status/ebb5c1df123e4d6fb8e7d703ffd0d0b0" +} +``` + +Sample completed status payload: + +```json +{ + "instanceId": "ebb5c1df123e4d6fb8e7d703ffd0d0b0", + "runtimeStatus": "Completed", + "output": "Learning is a journey where curiosity turns effort into mastery." +} +``` diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/demo.http b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/demo.http new file mode 100644 index 0000000000..74a45538c6 --- /dev/null +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/demo.http @@ -0,0 +1,9 @@ +### Start the single-agent orchestration +POST http://localhost:7071/api/singleagent/run + + +### Check the status of the orchestration + +@instanceId = + +GET http://localhost:7071/api/singleagent/status/{{instanceId}} \ No newline at end of file diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/function_app.py b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/function_app.py new file mode 100644 index 0000000000..e271082e54 --- /dev/null +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/function_app.py @@ -0,0 +1,174 @@ +"""Chain two runs of a single agent inside a Durable Functions orchestration. + +Components used in this sample: +- AzureOpenAIChatClient to construct the writer agent hosted by Agent Framework. +- AgentFunctionApp to surface HTTP and orchestration triggers via the Azure Functions extension. +- Durable Functions orchestration to run sequential agent invocations on the same conversation thread. + +Prerequisites: configure `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and either +`AZURE_OPENAI_API_KEY` or authenticate with Azure CLI before starting the Functions host.""" + +import json +import logging +from typing import Any + +import azure.durable_functions as df +import azure.functions as func +from agent_framework.azure import AzureOpenAIChatClient +from azure.durable_functions import DurableOrchestrationContext +from agent_framework.azurefunctions import AgentFunctionApp, get_agent + +logger = logging.getLogger(__name__) + +# 1. Define the agent name used across the orchestration. +WRITER_AGENT_NAME = "WriterAgent" + + +# 2. Create the writer agent that will be invoked twice within the orchestration. +def _create_writer_agent() -> Any: + """Create the writer agent with the same persona as the C# sample.""" + + instructions = ( + "You refine short pieces of text. When given an initial sentence you enhance it;\n" + "when given an improved sentence you polish it further." + ) + + return AzureOpenAIChatClient().create_agent( + name=WRITER_AGENT_NAME, + instructions=instructions, + ) + + +# 3. Register the agent with AgentFunctionApp so HTTP and orchestration triggers are exposed. +app = AgentFunctionApp(agents=[_create_writer_agent()], enable_health_check=True) + + +# 4. Orchestration that runs the agent sequentially on a shared thread for chaining behaviour. +@app.orchestration_trigger(context_name="context") +def single_agent_orchestration(context: DurableOrchestrationContext): + """Run the writer agent twice on the same thread to mirror chaining behaviour.""" + + writer = get_agent(context, WRITER_AGENT_NAME) + writer_thread = writer.get_new_thread() + + initial = yield writer.run( + messages="Write a concise inspirational sentence about learning.", + thread=writer_thread, + ) + + improved_prompt = ( + "Improve this further while keeping it under 25 words: " + f"{initial.get('response', '').strip()}" + ) + + refined = yield writer.run( + messages=improved_prompt, + thread=writer_thread, + ) + + return refined.get("response", "") + + +# 5. HTTP endpoint to kick off the orchestration and return the status query URI. +@app.route(route="singleagent/run", methods=["POST"]) +@app.durable_client_input(client_name="client") +async def start_single_agent_orchestration( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + """Start the orchestration and return status metadata.""" + + instance_id = await client.start_new( + orchestration_function_name="single_agent_orchestration", + ) + + logger.info("[HTTP] Started orchestration with instance_id: %s", instance_id) + + status_url = _build_status_url(req.url, instance_id, route="singleagent") + + payload = { + "message": "Single-agent orchestration started.", + "instanceId": instance_id, + "statusQueryGetUri": status_url, + } + + return func.HttpResponse( + body=json.dumps(payload), + status_code=202, + mimetype="application/json", + ) + + +# 6. HTTP endpoint to fetch orchestration status using the original instance ID. +@app.route(route="singleagent/status/{instanceId}", methods=["GET"]) +@app.durable_client_input(client_name="client") +async def get_orchestration_status( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + """Return orchestration runtime status.""" + + instance_id = req.route_params.get("instanceId") + if not instance_id: + return func.HttpResponse( + body=json.dumps({"error": "Missing instanceId"}), + status_code=400, + mimetype="application/json", + ) + + status = await client.get_status(instance_id) + if status is None: + return func.HttpResponse( + body=json.dumps({"error": "Instance not found"}), + status_code=404, + mimetype="application/json", + ) + + response_data: dict[str, Any] = { + "instanceId": status.instance_id, + "runtimeStatus": status.runtime_status.name if status.runtime_status else None, + } + + if status.input_ is not None: + response_data["input"] = status.input_ + + if status.output is not None: + response_data["output"] = status.output + + return func.HttpResponse( + body=json.dumps(response_data), + status_code=200, + mimetype="application/json", + ) + + +# 7. Helper to construct durable status URLs similar to the .NET sample implementation. +def _build_status_url(request_url: str, instance_id: str, *, route: str) -> str: + """Construct the status query URI similar to DurableHttpApiExtensions in C#.""" + + # Split once on /api/ to preserve host and scheme in local emulator and Azure. + base_url, _, _ = request_url.partition("/api/") + if not base_url: + base_url = request_url.rstrip("/") + return f"{base_url}/api/{route}/status/{instance_id}" + + +""" +Expected output when calling `POST /api/singleagent/run` and following the returned status URL: + +HTTP/1.1 202 Accepted +{ + "message": "Single-agent orchestration started.", + "instanceId": "", + "statusQueryGetUri": "http://localhost:7071/api/singleagent/status/" +} + +Subsequent `GET /api/singleagent/status/` after completion returns: + +HTTP/1.1 200 OK +{ + "instanceId": "", + "runtimeStatus": "Completed", + "output": "Learning is a journey where curiosity turns effort into mastery." +} +""" diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json new file mode 100644 index 0000000000..4ef61f4578 --- /dev/null +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json @@ -0,0 +1,23 @@ +{ + "version": "2.0", + "logging": { + "applicationInsights": { + "samplingSettings": { + "isEnabled": true, + "maxTelemetryItemsPerSecond": 20 + } + } + }, + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "version": "[4.*, 5.0.0)" + }, + "extensions": { + "durableTask": { + "storageProvider": { + "type": "azureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt new file mode 100644 index 0000000000..39ad8a124f --- /dev/null +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt @@ -0,0 +1,2 @@ +agent-framework-azurefunctions +azure-identity diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md new file mode 100644 index 0000000000..5d7f421eff --- /dev/null +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md @@ -0,0 +1,61 @@ +# Multi-Agent Orchestration (Concurrency) – Python + +This sample starts a Durable Functions orchestration that runs two agents in parallel and merges their responses. + +## Highlights +- Two agents (`PhysicistAgent` and `ChemistAgent`) share a single Azure OpenAI deployment configuration. +- The orchestration uses `context.task_all(...)` to safely run both agents concurrently. +- HTTP routes (`/api/multiagent/run` and `/api/multiagent/status/{instanceId}`) mirror the .NET sample for parity. + +## Prerequisites +- Python 3.11+ +- Azure Functions Core Tools v4 +- Azurite / Azure Storage emulator and Durable Task sidecar running locally +- Environment variables configured: + - `AZURE_OPENAI_ENDPOINT` + - `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` + - `AZURE_OPENAI_API_KEY` (omit when using Azure CLI auth) +- Copy `local.settings.json.template` to `local.settings.json` and fill in those Azure OpenAI values (and storage settings) before starting the Functions host. +- Install dependencies: `pip install -r requirements.txt` + +## Running the Sample +1. Start the Functions host: `func start`. +2. Send a prompt to start the orchestration: + ```bash + curl -X POST \ + -H "Content-Type: text/plain" \ + --data "What is temperature?" \ + http://localhost:7071/api/multiagent/run + ``` +3. Poll the returned `statusQueryGetUri` until the orchestration completes: + ```bash + curl http://localhost:7071/api/multiagent/status/ + ``` + +The orchestration launches both agents simultaneously so their domain-specific answers can be combined for the caller. + +## Expected Output + +Example response when starting the orchestration: + +```json +{ + "message": "Multi-agent concurrent orchestration started.", + "prompt": "What is temperature?", + "instanceId": "94d56266f0a04e5a8f9f3a1f77a4c597", + "statusQueryGetUri": "http://localhost:7071/api/multiagent/status/94d56266f0a04e5a8f9f3a1f77a4c597" +} +``` + +Example completed status payload: + +```json +{ + "instanceId": "94d56266f0a04e5a8f9f3a1f77a4c597", + "runtimeStatus": "Completed", + "output": { + "physicist": "Temperature measures the average kinetic energy of particles in a system.", + "chemist": "Temperature reflects how molecular motion influences reaction rates and equilibria." + } +} +``` diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/demo.http b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/demo.http new file mode 100644 index 0000000000..28f3cdc283 --- /dev/null +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/demo.http @@ -0,0 +1,11 @@ +### Start the multi-agent concurrent orchestration +POST http://localhost:7071/api/multiagent/run +Content-Type: text/plain + +What is temperature? + +### Check the status of the orchestration + +@instanceId = + +GET http://localhost:7071/api/multiagent/status/{{instanceId}} diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py new file mode 100644 index 0000000000..fe3e558364 --- /dev/null +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/function_app.py @@ -0,0 +1,192 @@ +"""Fan out concurrent runs across two agents inside a Durable Functions orchestration. + +Components used in this sample: +- AzureOpenAIChatClient to create domain-specific agents hosted by Agent Framework. +- AgentFunctionApp to expose orchestration and HTTP triggers. +- Durable Functions orchestration that executes agent calls in parallel and aggregates results. + +Prerequisites: configure `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and either +`AZURE_OPENAI_API_KEY` or authenticate with Azure CLI before starting the Functions host.""" + +import json +import logging +from typing import Any + +import azure.durable_functions as df +import azure.functions as func +from agent_framework.azure import AzureOpenAIChatClient +from azure.durable_functions import DurableOrchestrationContext +from agent_framework.azurefunctions import AgentFunctionApp, get_agent + +logger = logging.getLogger(__name__) + +# 1. Define agent names shared across the orchestration. +PHYSICIST_AGENT_NAME = "PhysicistAgent" +CHEMIST_AGENT_NAME = "ChemistAgent" + + +# 2. Instantiate both agents that the orchestration will run concurrently. +def _create_agents() -> list[Any]: + chat_client = AzureOpenAIChatClient() + + physicist = chat_client.create_agent( + name=PHYSICIST_AGENT_NAME, + instructions="You are an expert in physics. You answer questions from a physics perspective.", + ) + + chemist = chat_client.create_agent( + name=CHEMIST_AGENT_NAME, + instructions="You are an expert in chemistry. You answer questions from a chemistry perspective.", + ) + + return [physicist, chemist] + + +# 3. Register both agents with AgentFunctionApp and selectively enable HTTP endpoints. +agents = _create_agents() +app = AgentFunctionApp(enable_health_check=True, enable_http_endpoints=False) +app.add_agent(agents[0], enable_http_endpoint=True) +app.add_agent(agents[1]) + + +# 4. Durable Functions orchestration that runs both agents in parallel. +@app.orchestration_trigger(context_name="context") +def multi_agent_concurrent_orchestration(context: DurableOrchestrationContext): + """Fan out to two domain-specific agents and aggregate their responses.""" + + prompt = context.get_input() + if not prompt or not str(prompt).strip(): + raise ValueError("Prompt is required") + + physicist = get_agent(context, PHYSICIST_AGENT_NAME) + chemist = get_agent(context, CHEMIST_AGENT_NAME) + + physicist_thread = physicist.get_new_thread() + chemist_thread = chemist.get_new_thread() + + physicist_task = physicist.run(messages=str(prompt), thread=physicist_thread) + chemist_task = chemist.run(messages=str(prompt), thread=chemist_thread) + + results = yield context.task_all([physicist_task, chemist_task]) + + return { + "physicist": results[0].get("response", ""), + "chemist": results[1].get("response", ""), + } + + +# 5. HTTP endpoint to accept prompts and start the concurrent orchestration. +@app.route(route="multiagent/run", methods=["POST"]) +@app.durable_client_input(client_name="client") +async def start_multi_agent_concurrent_orchestration( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + """Kick off the orchestration with a plain text prompt.""" + + body_bytes = req.get_body() or b"" + prompt = body_bytes.decode("utf-8", errors="replace").strip() + if not prompt: + return func.HttpResponse( + body=json.dumps({"error": "Prompt is required"}), + status_code=400, + mimetype="application/json", + ) + + instance_id = await client.start_new( + orchestration_function_name="multi_agent_concurrent_orchestration", + client_input=prompt, + ) + + logger.info("[HTTP] Started orchestration with instance_id: %s", instance_id) + + status_url = _build_status_url(req.url, instance_id, route="multiagent") + + payload = { + "message": "Multi-agent concurrent orchestration started.", + "prompt": prompt, + "instanceId": instance_id, + "statusQueryGetUri": status_url, + } + + return func.HttpResponse( + body=json.dumps(payload), + status_code=202, + mimetype="application/json", + ) + + +# 6. HTTP endpoint to retrieve orchestration status and aggregated outputs. +@app.route(route="multiagent/status/{instanceId}", methods=["GET"]) +@app.durable_client_input(client_name="client") +async def get_orchestration_status( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + instance_id = req.route_params.get("instanceId") + if not instance_id: + return func.HttpResponse( + body=json.dumps({"error": "Missing instanceId"}), + status_code=400, + mimetype="application/json", + ) + + status = await client.get_status(instance_id) + if status is None: + return func.HttpResponse( + body=json.dumps({"error": "Instance not found"}), + status_code=404, + mimetype="application/json", + ) + + response_data: dict[str, Any] = { + "instanceId": status.instance_id, + "runtimeStatus": status.runtime_status.name if status.runtime_status else None, + "createdTime": status.created_time.isoformat() if status.created_time else None, + "lastUpdatedTime": status.last_updated_time.isoformat() if status.last_updated_time else None, + } + + if status.input_ is not None: + response_data["input"] = status.input_ + + if status.output is not None: + response_data["output"] = status.output + + return func.HttpResponse( + body=json.dumps(response_data), + status_code=200, + mimetype="application/json", + ) + + +# 7. Helper to construct durable status URLs. +def _build_status_url(request_url: str, instance_id: str, *, route: str) -> str: + base_url, _, _ = request_url.partition("/api/") + if not base_url: + base_url = request_url.rstrip("/") + return f"{base_url}/api/{route}/status/{instance_id}" + + +""" +Expected output when calling `POST /api/multiagent/run` with a plain-text prompt: + +HTTP/1.1 202 Accepted +{ + "message": "Multi-agent concurrent orchestration started.", + "prompt": "What is temperature?", + "instanceId": "", + "statusQueryGetUri": "http://localhost:7071/api/multiagent/status/" +} + +Polling `GET /api/multiagent/status/` after completion returns: + +HTTP/1.1 200 OK +{ + "instanceId": "", + "runtimeStatus": "Completed", + "output": { + "physicist": "Temperature measures the average kinetic energy of particles in a system.", + "chemist": "Temperature reflects how molecular motion influences reaction rates and equilibria." + } +} +""" diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json new file mode 100644 index 0000000000..4ef61f4578 --- /dev/null +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json @@ -0,0 +1,23 @@ +{ + "version": "2.0", + "logging": { + "applicationInsights": { + "samplingSettings": { + "isEnabled": true, + "maxTelemetryItemsPerSecond": 20 + } + } + }, + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "version": "[4.*, 5.0.0)" + }, + "extensions": { + "durableTask": { + "storageProvider": { + "type": "azureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt new file mode 100644 index 0000000000..39ad8a124f --- /dev/null +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt @@ -0,0 +1,2 @@ +agent-framework-azurefunctions +azure-identity diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md new file mode 100644 index 0000000000..6d0c62e774 --- /dev/null +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md @@ -0,0 +1,27 @@ +# Multi-Agent Orchestration (Conditionals) – Python + +This sample evaluates incoming emails with a spam detector agent and, +when appropriate, drafts a response using an email assistant agent. + +## Prerequisites +- Python 3.11 environment with dependencies from `requirements.txt` installed. +- Azure Functions Core Tools (`func`) available on the PATH. +- Environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and either + `AZURE_OPENAI_API_KEY` or an active Azure CLI login. +- Copy `local.settings.json.template` to `local.settings.json` and populate those Azure OpenAI settings (and storage values) before starting the host. + +## Scenario Overview +- Two Azure OpenAI agents share a single deployment: one flags spam, the other drafts replies. +- Structured responses (`is_spam` and `reason`, or `response`) determine which orchestration branch runs. +- Activity functions handle the side effects of spam handling and email sending. + +## Run the Sample +1. Configure the environment variables and install dependencies with `pip install -r requirements.txt`. +2. Launch the Functions host from this directory using `func start`. +3. Send an email payload to `/api/spamdetection/run` (see `demo.http`). +4. Poll the provided `statusQueryGetUri` or call `/api/spamdetection/status/{instanceId}` to monitor results. + +## Expected Responses +- Spam payloads return `Email marked as spam: ` by invoking the `handle_spam_email` activity. +- Legitimate emails return `Email sent: ` after the email assistant agent produces a structured reply. +- The status endpoint mirrors Durable Functions metadata, including runtime status and the agent output. diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/demo.http b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/demo.http new file mode 100644 index 0000000000..44b49c5c46 --- /dev/null +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/demo.http @@ -0,0 +1,24 @@ +### Test spam detection with a legitimate email +POST http://localhost:7071/api/spamdetection/run +Content-Type: application/json + +{ + "email_id": "email-001", + "email_content": "Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!" +} + + +### Test spam detection with a spam email +POST http://localhost:7071/api/spamdetection/run +Content-Type: application/json + +{ + "email_id": "email-002", + "email_content": "URGENT! You've won $1,000,000! Click here now to claim your prize! Limited time offer! Don't miss out!" +} + + +### Check the status of the orchestration +@instanceId = + +GET http://localhost:7071/api/spamdetection/status/{{instanceId}} diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py new file mode 100644 index 0000000000..0e1c1ef677 --- /dev/null +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/function_app.py @@ -0,0 +1,273 @@ +"""Route email requests through conditional orchestration with two agents. + +Components used in this sample: +- AzureOpenAIChatClient agents for spam detection and email drafting. +- AgentFunctionApp with Durable orchestration, activity, and HTTP triggers. +- Pydantic models that validate payloads and agent JSON responses. + +Prerequisites: set `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, +and either `AZURE_OPENAI_API_KEY` or sign in with Azure CLI before running the +Functions host.""" + +import json +import logging +from typing import Any, cast +from collections.abc import Mapping + +import azure.durable_functions as df +import azure.functions as func +from agent_framework.azure import AzureOpenAIChatClient +from azure.durable_functions import DurableOrchestrationContext +from agent_framework.azurefunctions import AgentFunctionApp, get_agent +from pydantic import BaseModel, ValidationError + +logger = logging.getLogger(__name__) + +# 1. Define agent names shared across the orchestration. +SPAM_AGENT_NAME = "SpamDetectionAgent" +EMAIL_AGENT_NAME = "EmailAssistantAgent" + + +class SpamDetectionResult(BaseModel): + is_spam: bool + reason: str + + +class EmailResponse(BaseModel): + response: str + + +class EmailPayload(BaseModel): + email_id: str + email_content: str + +# 2. Instantiate both agents so they can be registered with AgentFunctionApp. +def _create_agents() -> list[Any]: + chat_client = AzureOpenAIChatClient() + + spam_agent = chat_client.create_agent( + name=SPAM_AGENT_NAME, + instructions="You are a spam detection assistant that identifies spam emails.", + ) + + email_agent = chat_client.create_agent( + name=EMAIL_AGENT_NAME, + instructions="You are an email assistant that helps users draft responses to emails with professionalism.", + ) + + return [spam_agent, email_agent] + + +app = AgentFunctionApp(agents=_create_agents(), enable_health_check=True) + + +# 3. Activities handle the side effects for spam and legitimate emails. +@app.activity_trigger(input_name="reason") +def handle_spam_email(reason: str) -> str: + return f"Email marked as spam: {reason}" + + +@app.activity_trigger(input_name="message") +def send_email(message: str) -> str: + return f"Email sent: {message}" + + +# 4. Orchestration validates input, runs agents, and branches on spam results. +@app.orchestration_trigger(context_name="context") +def spam_detection_orchestration(context: DurableOrchestrationContext): + payload_raw = context.get_input() + if not isinstance(payload_raw, Mapping): + raise ValueError("Email data is required") + + try: + payload = EmailPayload.model_validate(payload_raw) + except ValidationError as exc: + raise ValueError(f"Invalid email payload: {exc}") from exc + + spam_agent = get_agent(context, SPAM_AGENT_NAME) + email_agent = get_agent(context, EMAIL_AGENT_NAME) + + spam_thread = spam_agent.get_new_thread() + + spam_prompt = ( + "Analyze this email for spam content and return a JSON response with 'is_spam' (boolean) " + "and 'reason' (string) fields:\n" + f"Email ID: {payload.email_id}\n" + f"Content: {payload.email_content}" + ) + + spam_result_raw = yield spam_agent.run( + messages=spam_prompt, + thread=spam_thread, + response_format=SpamDetectionResult, + ) + + spam_result = cast(SpamDetectionResult, _coerce_structured(spam_result_raw, SpamDetectionResult)) + + if spam_result.is_spam: + result = yield context.call_activity("handle_spam_email", spam_result.reason) + return result + + email_thread = email_agent.get_new_thread() + + email_prompt = ( + "Draft a professional response to this email. Return a JSON response with a 'response' field " + "containing the reply:\n\n" + f"Email ID: {payload.email_id}\n" + f"Content: {payload.email_content}" + ) + + email_result_raw = yield email_agent.run( + messages=email_prompt, + thread=email_thread, + response_format=EmailResponse, + ) + + email_result = cast(EmailResponse, _coerce_structured(email_result_raw, EmailResponse)) + + result = yield context.call_activity("send_email", email_result.response) + return result + + +# 5. HTTP starter endpoint launches the orchestration for each email payload. +@app.route(route="spamdetection/run", methods=["POST"]) +@app.durable_client_input(client_name="client") +async def start_spam_detection_orchestration( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + try: + body = req.get_json() + except ValueError: + body = None + + if not isinstance(body, Mapping): + return func.HttpResponse( + body=json.dumps({"error": "Email data is required"}), + status_code=400, + mimetype="application/json", + ) + + try: + payload = EmailPayload.model_validate(body) + except ValidationError as exc: + return func.HttpResponse( + body=json.dumps({"error": f"Invalid email payload: {exc}"}), + status_code=400, + mimetype="application/json", + ) + + instance_id = await client.start_new( + orchestration_function_name="spam_detection_orchestration", + client_input=payload.model_dump(), + ) + + logger.info("[HTTP] Started spam detection orchestration with instance_id: %s", instance_id) + + status_url = _build_status_url(req.url, instance_id, route="spamdetection") + + payload_json = { + "message": "Spam detection orchestration started.", + "emailId": payload.email_id, + "instanceId": instance_id, + "statusQueryGetUri": status_url, + } + + return func.HttpResponse( + body=json.dumps(payload_json), + status_code=202, + mimetype="application/json", + ) + + +# 6. Status endpoint mirrors Durable Functions default payload with agent data. +@app.route(route="spamdetection/status/{instanceId}", methods=["GET"]) +@app.durable_client_input(client_name="client") +async def get_orchestration_status( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + instance_id = req.route_params.get("instanceId") + if not instance_id: + return func.HttpResponse( + body=json.dumps({"error": "Missing instanceId"}), + status_code=400, + mimetype="application/json", + ) + + status = await client.get_status(instance_id) + if status is None: + return func.HttpResponse( + body=json.dumps({"error": "Instance not found"}), + status_code=404, + mimetype="application/json", + ) + + response_data: dict[str, Any] = { + "instanceId": status.instance_id, + "runtimeStatus": status.runtime_status.name if status.runtime_status else None, + "createdTime": status.created_time.isoformat() if status.created_time else None, + "lastUpdatedTime": status.last_updated_time.isoformat() if status.last_updated_time else None, + } + + if status.input_ is not None: + response_data["input"] = status.input_ + + if status.output is not None: + response_data["output"] = status.output + + return func.HttpResponse( + body=json.dumps(response_data), + status_code=200, + mimetype="application/json", + ) + + +# 7. Helper utilities keep URL construction and structured parsing deterministic. +def _build_status_url(request_url: str, instance_id: str, *, route: str) -> str: + base_url, _, _ = request_url.partition("/api/") + if not base_url: + base_url = request_url.rstrip("/") + return f"{base_url}/api/{route}/status/{instance_id}" + + +def _coerce_structured(result: Mapping[str, Any], model: type[BaseModel]) -> BaseModel: + structured = result.get("structured_response") if isinstance(result, Mapping) else None + if structured is not None: + return model.model_validate(structured) + + response_text = result.get("response") if isinstance(result, Mapping) else None + if isinstance(response_text, str) and response_text.strip(): + try: + parsed = json.loads(response_text) + if isinstance(parsed, Mapping): + return model.model_validate(parsed) + except json.JSONDecodeError: + logger.warning("[ConditionalOrchestration] Failed to parse agent JSON response; raising error.") + + # If parsing failed, raise to surface the issue to the caller. + raise ValueError(f"Agent response could not be parsed as {model.__name__}.") + + +""" +Expected response from `POST /api/spamdetection/run`: + +HTTP/1.1 202 Accepted +{ + "message": "Spam detection orchestration started.", + "emailId": "123", + "instanceId": "", + "statusQueryGetUri": "http://localhost:7071/runtime/webhooks/durabletask/instances/" +} + +Expected response from `GET /api/spamdetection/status/{instanceId}` once complete: + +HTTP/1.1 200 OK +{ + "instanceId": "", + "runtimeStatus": "Completed", + "createdTime": "2024-01-01T00:00:00+00:00", + "lastUpdatedTime": "2024-01-01T00:00:10+00:00", + "output": "Email sent: Thank you for reaching out..." +} +""" diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json new file mode 100644 index 0000000000..4ef61f4578 --- /dev/null +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json @@ -0,0 +1,23 @@ +{ + "version": "2.0", + "logging": { + "applicationInsights": { + "samplingSettings": { + "isEnabled": true, + "maxTelemetryItemsPerSecond": 20 + } + } + }, + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "version": "[4.*, 5.0.0)" + }, + "extensions": { + "durableTask": { + "storageProvider": { + "type": "azureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt new file mode 100644 index 0000000000..39ad8a124f --- /dev/null +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt @@ -0,0 +1,2 @@ +agent-framework-azurefunctions +azure-identity diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md new file mode 100644 index 0000000000..9055c62486 --- /dev/null +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md @@ -0,0 +1,33 @@ +# Single-Agent Orchestration (HITL) – Python + +This sample demonstrates the human-in-the-loop (HITL) scenario. +A single writer agent iterates on content until a human reviewer approves the +output or a maximum number of attempts is reached. + +## Prerequisites +- Python 3.11 environment with the packages from `requirements.txt` installed. +- Azure Functions Core Tools (`func`) available on the PATH. +- Environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and either + `AZURE_OPENAI_API_KEY` or an active Azure CLI session. +- Copy `local.settings.json.template` to `local.settings.json` and configure those keys (plus storage settings) before starting the Functions host. + +## What It Shows +- Identical environment variable usage (`AZURE_OPENAI_ENDPOINT`, + `AZURE_OPENAI_DEPLOYMENT`) and HTTP surface area (`/api/hitl/...`). +- Durable orchestrations that pause for external events while maintaining + deterministic state (`context.wait_for_external_event` + timed cancellation). +- Activity functions that encapsulate the out-of-band operations such as notifying +a reviewer and publishing content. + +## Run the Sample +1. Configure the environment variables and install dependencies with `pip install -r requirements.txt`. +2. Start the Functions host in this directory using `func start`. +3. Trigger the orchestration with `demo.http` (or another HTTP client) by POSTing to `/api/hitl/run`. +4. Poll the `statusQueryGetUri` or call `/api/hitl/status/{instanceId}` to monitor progress. +5. POST an approval or rejection payload to `/api/hitl/approve/{instanceId}` to complete the review loop. + +## Expected Responses +- `POST /api/hitl/run` returns a 202 Accepted payload with the Durable Functions instance ID. +- `POST /api/hitl/approve/{instanceId}` echoes the decision that the orchestration receives. +- `GET /api/hitl/status/{instanceId}` reports `runtimeStatus`, custom status messages, and the final content when approved. +The orchestration sets custom status messages, retries on rejection with reviewer feedback, and raises a timeout if human approval does not arrive. diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/demo.http b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/demo.http new file mode 100644 index 0000000000..42f93b8543 --- /dev/null +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/demo.http @@ -0,0 +1,45 @@ +### Start the HITL content generation orchestration with default timeout (72 hours) +POST http://localhost:7071/api/hitl/run +Content-Type: application/json + +{ + "topic": "The Future of Artificial Intelligence", + "max_review_attempts": 3 +} + + +### Start the HITL content generation orchestration with a short timeout (~4 seconds) +POST http://localhost:7071/api/hitl/run +Content-Type: application/json + +{ + "topic": "The Future of Artificial Intelligence", + "max_review_attempts": 3, + "approval_timeout_hours": 0.001 +} + + +### Replace INSTANCE_ID_GOES_HERE below with the value returned from the POST call +@instanceId= + +### Check the status of the orchestration +GET http://localhost:7071/api/hitl/status/{{instanceId}} + +### Send human approval +POST http://localhost:7071/api/hitl/approve/{{instanceId}} +Content-Type: application/json + +{ + "approved": true, + "feedback": "Great article! The content is well-structured and informative." +} + +### Send human rejection with feedback +POST http://localhost:7071/api/hitl/approve/{{instanceId}} +Content-Type: application/json + +{ + "approved": false, + "feedback": "The article needs more technical depth and better examples." +} + diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py new file mode 100644 index 0000000000..df70dfb9b9 --- /dev/null +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py @@ -0,0 +1,399 @@ +"""Iterate on generated content with a human-in-the-loop Durable orchestration. + +Components used in this sample: +- AzureOpenAIChatClient for a single writer agent that emits structured JSON. +- AgentFunctionApp with Durable orchestration, HTTP triggers, and activity triggers. +- External events that pause the workflow until a human decision arrives or times out. + +Prerequisites: configure `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and +either `AZURE_OPENAI_API_KEY` or sign in with Azure CLI before running `func start`.""" + +import json +import logging +from datetime import timedelta +from typing import Any +from collections.abc import Mapping + +import azure.durable_functions as df +import azure.functions as func +from agent_framework.azure import AzureOpenAIChatClient +from azure.durable_functions import DurableOrchestrationContext +from agent_framework.azurefunctions import AgentFunctionApp, get_agent +from pydantic import BaseModel, ValidationError + +logger = logging.getLogger(__name__) + +# 1. Define orchestration constants used throughout the workflow. +WRITER_AGENT_NAME = "WriterAgent" +HUMAN_APPROVAL_EVENT = "HumanApproval" + + +class ContentGenerationInput(BaseModel): + topic: str + max_review_attempts: int = 3 + approval_timeout_hours: float = 72 + + +class GeneratedContent(BaseModel): + title: str + content: str + + +class HumanApproval(BaseModel): + approved: bool + feedback: str = "" + + +# 2. Create the writer agent that produces structured JSON responses. +def _create_writer_agent() -> Any: + instructions = ( + "You are a professional content writer who creates high-quality articles on various topics. " + "You write engaging, informative, and well-structured content that follows best practices for readability and accuracy. " + "Return your response as JSON with 'title' and 'content' fields." + ) + + return AzureOpenAIChatClient().create_agent( + name=WRITER_AGENT_NAME, + instructions=instructions, + ) + + +app = AgentFunctionApp(agents=[_create_writer_agent()], enable_health_check=True) + + +# 3. Activities encapsulate external work for review notifications and publishing. +@app.activity_trigger(input_name="content") +def notify_user_for_approval(content: dict[str, Any]) -> None: + model = GeneratedContent.model_validate(content) + logger.info("NOTIFICATION: Please review the following content for approval:") + logger.info("Title: %s", model.title or "(untitled)") + logger.info("Content: %s", model.content) + logger.info("Use the approval endpoint to approve or reject this content.") + + +@app.activity_trigger(input_name="content") +def publish_content(content: dict[str, Any]) -> None: + model = GeneratedContent.model_validate(content) + logger.info("PUBLISHING: Content has been published successfully:") + logger.info("Title: %s", model.title or "(untitled)") + logger.info("Content: %s", model.content) + + +# 4. Orchestration loops until the human approves, times out, or attempts are exhausted. +@app.orchestration_trigger(context_name="context") +def content_generation_hitl_orchestration(context: DurableOrchestrationContext): + payload_raw = context.get_input() + if not isinstance(payload_raw, Mapping): + raise ValueError("Content generation input is required") + + try: + payload = ContentGenerationInput.model_validate(payload_raw) + except ValidationError as exc: + raise ValueError(f"Invalid content generation input: {exc}") from exc + + writer = get_agent(context, WRITER_AGENT_NAME) + writer_thread = writer.get_new_thread() + + context.set_custom_status(f"Starting content generation for topic: {payload.topic}") + + initial_raw = yield writer.run( + messages=f"Write a short article about '{payload.topic}'.", + thread=writer_thread, + response_format=GeneratedContent, + ) + content = _coerce_generated_content(initial_raw) + + attempt = 0 + while attempt < payload.max_review_attempts: + attempt += 1 + context.set_custom_status( + f"Requesting human feedback. Iteration #{attempt}. Timeout: {payload.approval_timeout_hours} hour(s)." + ) + + yield context.call_activity("notify_user_for_approval", content.model_dump()) + + approval_task = context.wait_for_external_event(HUMAN_APPROVAL_EVENT) + timeout_task = context.create_timer( + context.current_utc_datetime + timedelta(hours=payload.approval_timeout_hours) + ) + + winner = yield context.task_any([approval_task, timeout_task]) + + if winner == approval_task: + timeout_task.cancel() # type: ignore[attr-defined] + approval_payload = _parse_human_approval(approval_task.result) + + if approval_payload.approved: + context.set_custom_status("Content approved by human reviewer. Publishing content...") + yield context.call_activity("publish_content", content.model_dump()) + context.set_custom_status( + f"Content published successfully at {context.current_utc_datetime:%Y-%m-%dT%H:%M:%S}" + ) + return {"content": content.content} + + context.set_custom_status( + "Content rejected by human reviewer. Incorporating feedback and regenerating..." + ) + rewrite_prompt = ( + "The content was rejected by a human reviewer. Please rewrite the article incorporating their feedback.\n\n" + f"Human Feedback: {approval_payload.feedback or 'No feedback provided.'}" + ) + rewritten_raw = yield writer.run( + messages=rewrite_prompt, + thread=writer_thread, + response_format=GeneratedContent, + ) + content = _coerce_generated_content(rewritten_raw) + else: + context.set_custom_status( + f"Human approval timed out after {payload.approval_timeout_hours} hour(s). Treating as rejection." + ) + raise TimeoutError( + f"Human approval timed out after {payload.approval_timeout_hours} hour(s)." + ) + + raise RuntimeError(f"Content could not be approved after {payload.max_review_attempts} iteration(s).") + + +# 5. HTTP endpoint that starts the human-in-the-loop orchestration. +@app.route(route="hitl/run", methods=["POST"]) +@app.durable_client_input(client_name="client") +async def start_content_generation( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + try: + body = req.get_json() + except ValueError: + body = None + + if not isinstance(body, Mapping): + return func.HttpResponse( + body=json.dumps({"error": "Request body must be valid JSON."}), + status_code=400, + mimetype="application/json", + ) + + try: + payload = ContentGenerationInput.model_validate(body) + except ValidationError as exc: + return func.HttpResponse( + body=json.dumps({"error": f"Invalid content generation input: {exc}"}), + status_code=400, + mimetype="application/json", + ) + + instance_id = await client.start_new( + orchestration_function_name="content_generation_hitl_orchestration", + client_input=payload.model_dump(), + ) + + status_url = _build_status_url(req.url, instance_id, route="hitl") + + payload_json = { + "message": "HITL content generation orchestration started.", + "topic": payload.topic, + "instanceId": instance_id, + "statusQueryGetUri": status_url, + } + + return func.HttpResponse( + body=json.dumps(payload_json), + status_code=202, + mimetype="application/json", + ) + + +# 6. Endpoint that delivers human approval or rejection back into the orchestration. +@app.route(route="hitl/approve/{instanceId}", methods=["POST"]) +@app.durable_client_input(client_name="client") +async def send_human_approval( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + instance_id = req.route_params.get("instanceId") + if not instance_id: + return func.HttpResponse( + body=json.dumps({"error": "Missing instanceId in route."}), + status_code=400, + mimetype="application/json", + ) + + try: + body = req.get_json() + except ValueError: + body = None + + if not isinstance(body, Mapping): + return func.HttpResponse( + body=json.dumps({"error": "Approval response is required"}), + status_code=400, + mimetype="application/json", + ) + + try: + approval = HumanApproval.model_validate(body) + except ValidationError as exc: + return func.HttpResponse( + body=json.dumps({"error": f"Invalid approval payload: {exc}"}), + status_code=400, + mimetype="application/json", + ) + + await client.raise_event(instance_id, HUMAN_APPROVAL_EVENT, approval.model_dump()) + + payload_json = { + "message": "Human approval sent to orchestration.", + "instanceId": instance_id, + "approved": approval.approved, + } + + return func.HttpResponse( + body=json.dumps(payload_json), + status_code=200, + mimetype="application/json", + ) + + +# 7. Endpoint that mirrors Durable Functions status plus custom workflow messaging. +@app.route(route="hitl/status/{instanceId}", methods=["GET"]) +@app.durable_client_input(client_name="client") +async def get_orchestration_status( + req: func.HttpRequest, + client: df.DurableOrchestrationClient, +) -> func.HttpResponse: + instance_id = req.route_params.get("instanceId") + if not instance_id: + return func.HttpResponse( + body=json.dumps({"error": "Missing instanceId"}), + status_code=400, + mimetype="application/json", + ) + + status = await client.get_status( + instance_id, + show_history=False, + show_history_output=False, + show_input=True, + ) + + # Check if status is None or if the instance doesn't exist (runtime_status is None) + if status is None or getattr(status, "runtime_status", None) is None: + return func.HttpResponse( + body=json.dumps({"error": "Instance not found."}), + status_code=404, + mimetype="application/json", + ) + + response_data: dict[str, Any] = { + "instanceId": getattr(status, "instance_id", None), + "runtimeStatus": getattr(status.runtime_status, "name", None) + if getattr(status, "runtime_status", None) + else None, + "workflowStatus": getattr(status, "custom_status", None), + } + + if getattr(status, "input_", None) is not None: + response_data["input"] = status.input_ + + if getattr(status, "output", None) is not None: + response_data["output"] = status.output + + failure_details = getattr(status, "failure_details", None) + if failure_details is not None: + response_data["failureDetails"] = failure_details + + return func.HttpResponse( + body=json.dumps(response_data), + status_code=200, + mimetype="application/json", + ) + + +# 8. Helper utilities keep parsing logic deterministic. +def _build_status_url(request_url: str, instance_id: str, *, route: str) -> str: + base_url, _, _ = request_url.partition("/api/") + if not base_url: + base_url = request_url.rstrip("/") + return f"{base_url}/api/{route}/status/{instance_id}" + + +def _coerce_generated_content(result: Mapping[str, Any]) -> GeneratedContent: + structured = result.get("structured_response") if isinstance(result, Mapping) else None + if structured is not None: + return GeneratedContent.model_validate(structured) + + response_text = result.get("response") if isinstance(result, Mapping) else None + if isinstance(response_text, str) and response_text.strip(): + try: + parsed = json.loads(response_text) + if isinstance(parsed, Mapping): + return GeneratedContent.model_validate(parsed) + except json.JSONDecodeError: + logger.warning("[HITL] Failed to parse agent JSON response; falling back to defaults.") + + raise ValueError("Agent response could not be parsed as GeneratedContent.") + + +def _parse_human_approval(raw: Any) -> HumanApproval: + if isinstance(raw, Mapping): + return HumanApproval.model_validate(raw) + + if isinstance(raw, str): + stripped = raw.strip() + if not stripped: + return HumanApproval(approved=False, feedback="") + try: + parsed = json.loads(stripped) + if isinstance(parsed, Mapping): + return HumanApproval.model_validate(parsed) + except json.JSONDecodeError: + logger.debug( + "[HITL] Approval payload is not valid JSON; using string heuristics.", + exc_info=True, + ) + + affirmative = {"true", "yes", "approved", "y", "1"} + negative = {"false", "no", "rejected", "n", "0"} + lower = stripped.lower() + if lower in affirmative: + return HumanApproval(approved=True, feedback="") + if lower in negative: + return HumanApproval(approved=False, feedback="") + return HumanApproval(approved=False, feedback=stripped) + + raise ValueError("Approval payload must be a JSON object or string.") + + +""" +Expected response from `POST /api/hitl/run`: + +HTTP/1.1 202 Accepted +{ + "message": "HITL content generation orchestration started.", + "topic": "Contoso launch", + "instanceId": "", + "statusQueryGetUri": "http://localhost:7071/api/hitl/status/" +} + +Expected response after approving via `POST /api/hitl/approve/{instanceId}`: + +HTTP/1.1 200 OK +{ + "message": "Human approval sent to orchestration.", + "instanceId": "", + "approved": true +} + +Expected response from `GET /api/hitl/status/{instanceId}` once published: + +HTTP/1.1 200 OK +{ + "instanceId": "", + "runtimeStatus": "Completed", + "workflowStatus": "Content published successfully at 2024-01-01T12:00:00", + "output": { + "content": "Thank you for joining the Contoso product launch..." + } +} +""" diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json new file mode 100644 index 0000000000..4ef61f4578 --- /dev/null +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json @@ -0,0 +1,23 @@ +{ + "version": "2.0", + "logging": { + "applicationInsights": { + "samplingSettings": { + "isEnabled": true, + "maxTelemetryItemsPerSecond": 20 + } + } + }, + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "version": "[4.*, 5.0.0)" + }, + "extensions": { + "durableTask": { + "storageProvider": { + "type": "azureManaged", + "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" + } + } + } +} diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt new file mode 100644 index 0000000000..39ad8a124f --- /dev/null +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt @@ -0,0 +1,2 @@ +agent-framework-azurefunctions +azure-identity From 9150176c13c46ed7b02472410d894edfd2014e69 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Fri, 7 Nov 2025 15:32:05 -0600 Subject: [PATCH 08/19] Agents as MCP tools --- .../agent_framework_azurefunctions/_app.py | 389 ++++++++++- .../mcp/__init__.py | 31 + .../mcp/_endpoints.py | 637 ++++++++++++++++++ .../mcp/_extension.py | 238 +++++++ .../mcp/_models.py | 108 +++ .../azure_functions/08_mcp_server/README.md | 185 +++++ .../azure_functions/08_mcp_server/demo.http | 83 +++ .../08_mcp_server/function_app.py | 85 +++ .../azure_functions/08_mcp_server/host.json | 7 + .../local.settings.json.template | 10 + .../08_mcp_server/requirements.txt | 2 + 11 files changed, 1744 insertions(+), 31 deletions(-) create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py create mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py create mode 100644 python/samples/getting_started/azure_functions/08_mcp_server/README.md create mode 100644 python/samples/getting_started/azure_functions/08_mcp_server/demo.http create mode 100644 python/samples/getting_started/azure_functions/08_mcp_server/function_app.py create mode 100644 python/samples/getting_started/azure_functions/08_mcp_server/host.json create mode 100644 python/samples/getting_started/azure_functions/08_mcp_server/local.settings.json.template create mode 100644 python/samples/getting_started/azure_functions/08_mcp_server/requirements.txt diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index 2187f6c031..97a32ba84b 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -9,7 +9,7 @@ import json import re from collections.abc import Mapping -from typing import Any, cast +from typing import TYPE_CHECKING, Any, cast import azure.durable_functions as df import azure.functions as func @@ -21,6 +21,9 @@ from ._models import AgentSessionId, ChatRole, RunRequest from ._state import AgentState +if TYPE_CHECKING: + from .mcp._extension import MCPServerExtension + logger = get_logger("agent_framework.azurefunctions") SESSION_ID_FIELD: str = "sessionId" @@ -70,12 +73,16 @@ class AgentFunctionApp(df.DFApp): This creates: - HTTP trigger endpoint for each agent's requests (if enabled) - Durable entity for each agent's state management and execution + - MCP tool trigger for agents (if enabled) - Full access to all Azure Functions capabilities Attributes: agents: Dictionary of agent name to AgentProtocol instance enable_health_check: Whether health check endpoint is enabled - enable_http_endpoints: Whether HTTP endpoints are created for agents + enable_http_endpoints: Whether HTTP endpoints are created for agents by default + enable_mcp_tool_triggers: Whether MCP tool triggers are created for agents by default + agent_http_endpoint_flags: Per-agent HTTP endpoint settings + agent_mcp_tool_flags: Per-agent MCP tool trigger settings max_poll_retries: Maximum polling attempts when waiting for responses poll_interval_seconds: Delay (seconds) between polling attempts """ @@ -83,7 +90,9 @@ class AgentFunctionApp(df.DFApp): agents: dict[str, AgentProtocol] enable_health_check: bool enable_http_endpoints: bool + enable_mcp_tool_triggers: bool agent_http_endpoint_flags: dict[str, bool] + agent_mcp_tool_flags: dict[str, bool] def __init__( self, @@ -91,6 +100,7 @@ def __init__( http_auth_level: func.AuthLevel = func.AuthLevel.ANONYMOUS, enable_health_check: bool = True, enable_http_endpoints: bool = True, + enable_mcp_tool_triggers: bool = False, max_poll_retries: int = 10, poll_interval_seconds: float = 0.5, default_callback: AgentResponseCallbackProtocol | None = None, @@ -101,13 +111,15 @@ def __init__( agents: List of agent instances to register http_auth_level: HTTP authentication level (default: ANONYMOUS) enable_health_check: Enable built-in health check endpoint (default: True) - enable_http_endpoints: Enable HTTP endpoints for agents (default: True) + enable_http_endpoints: Enable HTTP endpoints for agents by default (default: True) + enable_mcp_tool_triggers: Enable MCP tool triggers for agents by default (default: False) max_poll_retries: Maximum number of polling attempts when waiting for a response poll_interval_seconds: Delay (in seconds) between polling attempts default_callback: Optional callback invoked for agents without specific callbacks Note: If no agents are provided, they can be added later using add_agent(). + Per-agent settings in add_agent() override these global defaults. """ logger.debug("[AgentFunctionApp] Initializing with Durable Entities...") @@ -116,9 +128,11 @@ def __init__( # Initialize agents dictionary self.agents = {} - self.agent_http_endpoint_flags = {} self.enable_health_check = enable_health_check self.enable_http_endpoints = enable_http_endpoints + self.enable_mcp_tool_triggers = enable_mcp_tool_triggers + self.agent_http_endpoint_flags = {} + self.agent_mcp_tool_flags = {} self.default_callback = default_callback try: @@ -150,6 +164,7 @@ def add_agent( agent: AgentProtocol, callback: AgentResponseCallbackProtocol | None = None, enable_http_endpoint: bool | None = None, + enable_mcp_tool_trigger: bool | None = None, ) -> None: """Add an agent to the function app after initialization. @@ -157,8 +172,10 @@ def add_agent( agent: The Microsoft Agent Framework agent instance (must implement AgentProtocol) The agent must have a 'name' attribute. callback: Optional callback invoked during agent execution - enable_http_endpoint: Optional flag that overrides the app-level - HTTP endpoint setting for this agent + enable_http_endpoint: Optional flag to enable/disable HTTP endpoint for this agent. + If None, uses the app-level enable_http_endpoints setting. + enable_mcp_tool_trigger: Optional flag to enable/disable MCP tool trigger for this agent. + If None, uses the app-level enable_mcp_tool_triggers setting. Raises: ValueError: If the agent doesn't have a 'name' attribute or if an agent @@ -172,29 +189,27 @@ def add_agent( if name in self.agents: raise ValueError(f"Agent with name '{name}' is already registered. Each agent must have a unique name.") - effective_enable_http_endpoint = ( + # Resolve effective settings (per-agent overrides global) + effective_enable_http = ( self.enable_http_endpoints if enable_http_endpoint is None else self._coerce_to_bool(enable_http_endpoint) ) + effective_enable_mcp = ( + self.enable_mcp_tool_triggers + if enable_mcp_tool_trigger is None + else self._coerce_to_bool(enable_mcp_tool_trigger) + ) logger.debug(f"[AgentFunctionApp] Adding agent: {name}") - logger.debug(f"[AgentFunctionApp] Route: /api/agents/{name}") - logger.debug( - "[AgentFunctionApp] HTTP endpoint %s for agent '%s'", - "enabled" if effective_enable_http_endpoint else "disabled", - name, - ) + logger.debug(f"[AgentFunctionApp] HTTP endpoint: {'enabled' if effective_enable_http else 'disabled'}") + logger.debug(f"[AgentFunctionApp] MCP tool trigger: {'enabled' if effective_enable_mcp else 'disabled'}") self.agents[name] = agent - self.agent_http_endpoint_flags[name] = effective_enable_http_endpoint + self.agent_http_endpoint_flags[name] = effective_enable_http + self.agent_mcp_tool_flags[name] = effective_enable_mcp effective_callback = callback or self.default_callback - self._setup_agent_functions( - agent, - name, - effective_callback, - effective_enable_http_endpoint, - ) + self._setup_agent_functions(agent, name, effective_callback, effective_enable_http, effective_enable_mcp) logger.debug(f"[AgentFunctionApp] Agent '{name}' added successfully") @@ -204,27 +219,36 @@ def _setup_agent_functions( agent_name: str, callback: AgentResponseCallbackProtocol | None, enable_http_endpoint: bool, + enable_mcp_tool_trigger: bool, ) -> None: - """Set up the HTTP trigger and entity for a specific agent. + """Set up the HTTP trigger, entity, and MCP tool trigger for a specific agent. Args: agent: The agent instance agent_name: The name to use for routing and entity registration callback: Optional callback to receive response updates - enable_http_endpoint: Whether the HTTP run route is enabled for - this agent + enable_http_endpoint: Whether to create HTTP endpoint + enable_mcp_tool_trigger: Whether to create MCP tool trigger """ logger.debug(f"[AgentFunctionApp] Setting up functions for agent '{agent_name}'...") + # Set up HTTP endpoints if enabled if enable_http_endpoint: self._setup_http_run_route(agent_name) + self._setup_get_state_route(agent_name) else: - logger.debug( - "[AgentFunctionApp] HTTP run route disabled for agent '%s'", - agent_name, - ) + logger.debug(f"[AgentFunctionApp] HTTP endpoints disabled for agent '{agent_name}'") + + # Always set up entity (for state management) self._setup_agent_entity(agent, agent_name, callback) + # Set up MCP tool trigger if enabled + if enable_mcp_tool_trigger: + agent_description = getattr(agent, "description", None) + self._setup_mcp_tool_trigger(agent_name, agent_description) + else: + logger.debug(f"[AgentFunctionApp] MCP tool trigger disabled for agent '{agent_name}'") + def _setup_http_run_route(self, agent_name: str) -> None: """Register the POST route that triggers agent execution. @@ -355,6 +379,258 @@ def entity_function(context: df.DurableEntityContext) -> None: entity_function.__name__ = entity_name_with_prefix self.entity_trigger(context_name="context", entity_name=entity_name_with_prefix)(entity_function) + def _setup_get_state_route(self, agent_name: str) -> None: + """Register the GET route for retrieving conversation state. + + Args: + agent_name: The agent name (used for both routing and entity identification) + """ + state_function_name = self._build_function_name(agent_name, "state") + + @self.function_name(state_function_name) + @self.route( + route=f"agents/{agent_name}/{{{SESSION_ID_FIELD}}}", + methods=["GET"], + ) + @self.durable_client_input(client_name="client") + async def get_conversation_state( + req: func.HttpRequest, client: df.DurableOrchestrationClient + ) -> func.HttpResponse: + """GET endpoint to retrieve conversation state for a given sessionId.""" + session_key = req.route_params.get(SESSION_ID_FIELD) + + logger.debug(f"[GET State] Retrieving state for session: {session_key}") + + try: + session_id = AgentSessionId(name=agent_name, key=session_key) + entity_instance_id = session_id.to_entity_id() + + state_response = await client.read_entity_state(entity_instance_id) + + if not state_response or not state_response.entity_exists: + logger.warning(f"[GET State] Session not found: {session_key}") + return func.HttpResponse( + json.dumps({"error": "Session not found"}), + status_code=404, + mimetype="application/json", + ) + + state = state_response.entity_state + if isinstance(state, str): + state = json.loads(state) if state else {} + + logger.debug(f"[GET State] Found conversation with {state.get('message_count', 0)} messages") + + return func.HttpResponse(json.dumps(state, indent=2), status_code=200, mimetype="application/json") + + except Exception as exc: + logger.error(f"[GET State] Error: {str(exc)}", exc_info=True) + return func.HttpResponse( + json.dumps({"error": str(exc)}), status_code=500, mimetype="application/json" + ) + + def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None) -> None: + """Register an MCP tool trigger for an agent. + + Args: + agent_name: The agent name (used as the MCP tool name) + agent_description: Optional description for the MCP tool (shown to clients) + """ + mcp_function_name = f"mcptool_{agent_name}" + + tool_properties = json.dumps( + [ + { + "propertyName": "query", + "propertyType": "string", + "description": "The query to send to the agent.", + "isRequired": True, + "isArray": False, + }, + { + "propertyName": "threadId", + "propertyType": "string", + "description": "Optional thread identifier for conversation continuity.", + "isRequired": False, + "isArray": False, + }, + ] + ) + + @self.function_name(mcp_function_name) + @self.mcp_tool_trigger( + arg_name="context", + tool_name=agent_name, + description=agent_description or f"Interact with {agent_name} agent", + tool_properties=tool_properties, + data_type=func.DataType.UNDEFINED, + ) + @self.durable_client_input(client_name="client") + async def mcp_tool_handler(context: Any, client: df.DurableOrchestrationClient) -> str: + """Handle MCP tool invocation for the agent.""" + return await self._handle_mcp_tool_invocation(agent_name=agent_name, context=context, client=client) + + logger.debug(f"[AgentFunctionApp] Registered MCP tool trigger: {agent_name}") + + async def _handle_mcp_tool_invocation( + self, agent_name: str, context: Any, client: df.DurableOrchestrationClient + ) -> str: + """Handle an MCP tool invocation.""" + arguments = context.get("arguments", {}) if isinstance(context, dict) else {} + + query = arguments.get("query") + if not query or not isinstance(query, str): + raise ValueError("MCP Tool invocation is missing required 'query' argument of type string.") + + thread_id = arguments.get("threadId") + + if thread_id and isinstance(thread_id, str) and thread_id.strip(): + try: + session_id = AgentSessionId.parse(thread_id) + except Exception: + session_id = AgentSessionId(name=agent_name, key=thread_id) + else: + session_id = AgentSessionId.with_random_key(agent_name) + + entity_instance_id = session_id.to_entity_id() + + correlation_id = self._generate_unique_id() + run_request = self._build_request_data( + req_body={"message": query, "role": "user"}, + message=query, + conversation_id=str(session_id), + correlation_id=correlation_id, + ) + + logger.debug(f"[MCP Tool] Invoking agent '{agent_name}' with query: {query[:50]}...") + + await client.signal_entity(entity_instance_id, "run_agent", run_request) + + try: + result = await self._get_response_from_entity( + client=client, + entity_instance_id=entity_instance_id, + correlation_id=correlation_id, + message=query, + session_key=str(session_id), + ) + + if result.get("status") == "success": + response_text = result.get("response", "No response") + logger.debug(f"[MCP Tool] Agent '{agent_name}' responded successfully") + return response_text + else: + error_msg = result.get("error", "Unknown error") + logger.error(f"[MCP Tool] Agent '{agent_name}' execution failed: {error_msg}") + raise RuntimeError(f"Agent execution failed: {error_msg}") + + except Exception as exc: + logger.error(f"[MCP Tool] Error invoking agent '{agent_name}': {str(exc)}", exc_info=True) + raise + + async def _get_response_from_entity( + self, + client: df.DurableOrchestrationClient, + entity_instance_id: df.EntityId, + correlation_id: str, + message: str, + session_key: str, + ) -> dict[str, Any]: + """Poll the entity state until a response is available or timeout occurs.""" + import asyncio + + max_retries = 120 + retry_count = 0 + result: dict[str, Any] | None = None + + logger.debug(f"[Polling] Waiting for response with correlation ID: {correlation_id}") + + while retry_count < max_retries: + await asyncio.sleep(0.5) + + result = await self._poll_entity_for_response( + client=client, + entity_instance_id=entity_instance_id, + correlation_id=correlation_id, + message=message, + session_key=session_key, + ) + if result is not None: + break + + logger.debug(f"[Polling] Response not available yet (retry {retry_count})") + retry_count += 1 + + if result is not None: + return result + + logger.warning( + f"[Polling] Response with correlation ID {correlation_id} " + f"not found in time (waited {max_retries * 0.5} seconds)" + ) + return await self._build_timeout_result(message=message, session_key=session_key, correlation_id=correlation_id) + + async def _poll_entity_for_response( + self, + client: df.DurableOrchestrationClient, + entity_instance_id: df.EntityId, + correlation_id: str, + message: str, + session_key: str, + ) -> dict[str, Any] | None: + """Poll entity once for a response matching the correlation ID.""" + result: dict[str, Any] | None = None + try: + state = await self._read_cached_state(client, entity_instance_id) + + if state is None: + return None + + agent_response = state.try_get_agent_response(correlation_id) + if agent_response: + result = self._build_success_result( + response_data=agent_response, + message=message, + session_key=session_key, + correlation_id=correlation_id, + state=state, + ) + logger.debug(f"[Polling] Found response for correlation ID: {correlation_id}") + + except Exception as exc: + logger.warning(f"[Polling] Error reading entity state: {exc}") + + return result + + async def _build_timeout_result(self, message: str, session_key: str, correlation_id: str) -> dict[str, Any]: + """Create the timeout response.""" + return { + "response": "Agent is still processing or timed out...", + "message": message, + SESSION_ID_FIELD: session_key, + "status": "timeout", + "correlationId": correlation_id, + } + + def _build_success_result( + self, + response_data: dict[str, Any], + message: str, + session_key: str, + correlation_id: str, + state: AgentState, + ) -> dict[str, Any]: + """Build the success result returned to the caller.""" + return { + "response": response_data.get("response", ""), + "message": message, + SESSION_ID_FIELD: session_key, + "status": "success", + "correlationId": correlation_id, + "message_count": state.message_count, + "timestamp": response_data.get("timestamp"), + } + def _setup_health_route(self) -> None: """Register the optional health check route.""" @@ -365,10 +641,8 @@ def health_check(req: func.HttpRequest) -> func.HttpResponse: { "name": name, "type": type(agent).__name__, - "httpEndpointEnabled": self.agent_http_endpoint_flags.get( - name, - self.enable_http_endpoints, - ), + "httpEndpointEnabled": self.agent_http_endpoint_flags.get(name, self.enable_http_endpoints), + "mcpToolTriggerEnabled": self.agent_mcp_tool_flags.get(name, self.enable_mcp_tool_triggers), } for name, agent in self.agents.items() ] @@ -644,6 +918,59 @@ def _coerce_chat_role(self, value: Any) -> ChatRole: logger.warning("[AgentFunctionApp] Invalid role '%s'; defaulting to user", value) return ChatRole.USER + async def _read_cached_state( + self, + client: df.DurableOrchestrationClient, + entity_instance_id: df.EntityId, + ) -> AgentState | None: + """Read the entity state from storage. + + Args: + client: Durable orchestration client + entity_instance_id: Entity ID to read + + Returns: + AgentState if entity exists, None otherwise + """ + state_response = await client.read_entity_state(entity_instance_id) + if not state_response or not state_response.entity_exists: + return None + + state_payload = state_response.entity_state + if not isinstance(state_payload, dict): + return None + + agent_state = AgentState() + agent_state.restore_state(state_payload) + return agent_state + + def register_mcp_server(self, mcp_extension: "MCPServerExtension") -> None: + """Register MCP server endpoints. + + This enables the Model Context Protocol (MCP) for exposing agents as tools + that can be used by MCP clients like Claude Desktop, Cursor, etc. + + Args: + mcp_extension: MCPServerExtension instance configured with desired settings + + Example: + ```python + from agent_framework.azurefunctions.mcp import MCPServerExtension + + mcp = MCPServerExtension(app) + app.register_mcp_server(mcp) + ``` + + Note: + This should be called after all agents are registered via add_agent(). + """ + logger.info(f"Registering MCP server with route prefix: {mcp_extension.route_prefix}") + logger.info(f"Exposing {len(mcp_extension.get_exposed_agents())} agents as MCP tools") + + mcp_extension.register() + + logger.info("MCP server registered successfully") + def _coerce_to_bool(self, value: Any) -> bool: """Convert various representations into a boolean flag.""" if isinstance(value, bool): diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py new file mode 100644 index 0000000000..5eae4bc5c3 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py @@ -0,0 +1,31 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""MCP (Model Context Protocol) Server Integration for Agent Framework. + +This module provides the MCPServerExtension class to easily expose durable agents +as MCP tools, allowing them to be used by any MCP-compatible client (Claude Desktop, +Cursor, VSCode, etc.). + +Example: + ```python + from agent_framework.azurefunctions import AgentFunctionApp + from agent_framework.azurefunctions.mcp import MCPServerExtension + + app = AgentFunctionApp("MyApp") + app.add_agent(weather_agent) + + # Enable MCP server - all agents become MCP tools + mcp = MCPServerExtension(app) + app.register_mcp_server(mcp) + ``` +""" + +from ._extension import MCPServerExtension +from ._models import MCPCallResult, MCPResource, MCPTool + +__all__ = [ + "MCPServerExtension", + "MCPTool", + "MCPResource", + "MCPCallResult", +] diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py new file mode 100644 index 0000000000..847b80fbe2 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py @@ -0,0 +1,637 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""MCP Protocol HTTP Endpoints. + +This module implements the HTTP handlers for MCP protocol operations. +""" + +import json +import uuid +from collections.abc import Awaitable, Callable +from typing import TYPE_CHECKING, Any + +import azure.durable_functions as df +import azure.functions as func +from agent_framework import get_logger + +if TYPE_CHECKING: + from ._extension import MCPServerExtension + +logger = get_logger("agent_framework.azurefunctions.mcp") + + +def create_list_tools_endpoint( + extension: "MCPServerExtension", +) -> Callable[[func.HttpRequest], Awaitable[func.HttpResponse]]: + """Create endpoint to list available tools (agents). + + Returns: + Async function that handles GET/POST requests to list MCP tools + """ + + async def list_tools(req: func.HttpRequest) -> func.HttpResponse: + """MCP endpoint: List available tools. + + Returns JSON response with tool definitions for all exposed agents. + + Example response: + { + "tools": [ + { + "name": "WeatherAgent", + "description": "Get weather information", + "inputSchema": {...} + } + ] + } + """ + logger.info("MCP: Listing available tools") + + tools = [] + + for agent_name in extension.get_exposed_agents(): + agent = extension.app.agents.get(agent_name) + if not agent: + logger.warning(f"Agent '{agent_name}' not found in app registry") + continue + + # Get custom configuration or use defaults + config = extension._tool_configs.get(agent_name, {}) + + tool = { + "name": agent_name, + "description": config.get("description") or f"Invoke {agent_name} agent", + "inputSchema": { + "type": "object", + "properties": { + "message": { + "type": "string", + "description": "Message to send to the agent", + }, + "sessionId": { + "type": "string", + "description": "Optional session ID for conversation continuity", + }, + "enable_tool_calls": { + "type": "boolean", + "description": "Whether to allow the agent to use tools (default: true)", + }, + }, + "required": ["message"], + }, + } + + # Add custom fields if configured + if config.get("display_name"): + tool["displayName"] = config["display_name"] + if config.get("category"): + tool["category"] = config["category"] + if config.get("examples"): + tool["examples"] = config["examples"] + + tools.append(tool) + + logger.info(f"MCP: Returning {len(tools)} tools") + + return func.HttpResponse( + json.dumps({"tools": tools}), mimetype="application/json", status_code=200 + ) + + return list_tools + + +def create_call_tool_endpoint( + extension: "MCPServerExtension", +) -> Callable[[func.HttpRequest, df.DurableOrchestrationClient], Awaitable[func.HttpResponse]]: + """Create endpoint to invoke a tool (agent). + + Returns: + Async function that handles POST requests to call MCP tools + """ + + async def call_tool( + req: func.HttpRequest, client: df.DurableOrchestrationClient + ) -> func.HttpResponse: + """MCP endpoint: Call a tool (invoke an agent). + + Expects JSON request body with: + { + "name": "WeatherAgent", + "arguments": { + "message": "What's the weather?", + "sessionId": "optional-session-id", + "enable_tool_calls": true + } + } + + Returns: + { + "content": [{"type": "text", "text": "Response text"}], + "metadata": { + "sessionId": "session-id", + "messageCount": 1, + "timestamp": "..." + } + } + """ + try: + body = req.get_json() + except ValueError: + logger.error("MCP: Invalid JSON in request body") + return func.HttpResponse( + json.dumps({"error": "Invalid JSON"}), + mimetype="application/json", + status_code=400, + ) + + # Extract tool name and arguments + tool_name = body.get("name") + arguments = body.get("arguments", {}) + + logger.info(f"MCP: Call tool request - name={tool_name}") + + if not tool_name: + logger.error("MCP: Missing tool name in request") + return func.HttpResponse( + json.dumps({"error": "Missing tool name"}), + mimetype="application/json", + status_code=400, + ) + + # Check if agent exists and is exposed + if tool_name not in extension.get_exposed_agents(): + logger.error(f"MCP: Tool '{tool_name}' not found or not exposed") + return func.HttpResponse( + json.dumps({"error": f"Tool '{tool_name}' not found"}), + mimetype="application/json", + status_code=404, + ) + + # Get agent + agent = extension.app.agents.get(tool_name) + if not agent: + logger.error(f"MCP: Agent '{tool_name}' not found in registry") + return func.HttpResponse( + json.dumps({"error": f"Agent '{tool_name}' not found"}), + mimetype="application/json", + status_code=404, + ) + + # Extract parameters + message = arguments.get("message") + session_id = arguments.get("sessionId") + enable_tool_calls = arguments.get("enable_tool_calls", True) + + if not message: + logger.error("MCP: Missing 'message' in arguments") + return func.HttpResponse( + json.dumps({"error": "Missing 'message' in arguments"}), + mimetype="application/json", + status_code=400, + ) + + # Create or parse session ID + from .._models import AgentSessionId + + if session_id: + try: + session = AgentSessionId.parse(session_id) + logger.info(f"MCP: Using existing session - {session_id}") + except Exception as e: + logger.error(f"MCP: Invalid session ID format - {session_id}: {e}") + return func.HttpResponse( + json.dumps({"error": f"Invalid session ID format: {str(e)}"}), + mimetype="application/json", + status_code=400, + ) + else: + session = AgentSessionId.with_random_key(tool_name) + logger.info(f"MCP: Created new session - {session}") + + # Invoke agent via durable entity + entity_id = session.to_entity_id() + + try: + logger.info(f"MCP: Invoking entity - {entity_id}") + + # Generate correlation ID for tracking this request + correlation_id = str(uuid.uuid4()) + + # Signal the entity to run the agent + await client.signal_entity( + entity_id, + "run_agent", + { + "message": message, + "enable_tool_calls": enable_tool_calls, + "mcp_invocation": True, + "correlation_id": correlation_id, + "conversation_id": session.key, + }, + ) + + logger.info(f"MCP: Signal sent to entity - {entity_id}") + + # Poll for response using the app's method + result = await extension.app._get_response_from_entity( + client=client, + entity_instance_id=entity_id, + correlation_id=correlation_id, + message=message, + session_key=session.key, + ) + + logger.info(f"MCP: Entity invocation successful - {entity_id}") + + # Format response for MCP + response_text = result.get("response", "") + if not response_text and result.get("error"): + response_text = f"Error: {result.get('error')}" + + response: dict[str, Any] = { + "content": [{"type": "text", "text": response_text}], + "metadata": { + "sessionId": str(session), + "messageCount": result.get("message_count", 0), + "agentName": tool_name, + }, + } + + # Add timestamp if available + if result.get("timestamp"): + response["metadata"]["timestamp"] = result["timestamp"] + + # Mark as error if agent returned error + if result.get("status") == "error": + response["isError"] = True + + return func.HttpResponse( + json.dumps(response), mimetype="application/json", status_code=200 + ) + + except Exception as e: + logger.error(f"MCP: Error invoking entity - {entity_id}: {str(e)}", exc_info=True) + return func.HttpResponse( + json.dumps( + { + "content": [{"type": "text", "text": f"Error invoking agent: {str(e)}"}], + "isError": True, + "metadata": {"sessionId": str(session), "agentName": tool_name}, + } + ), + mimetype="application/json", + status_code=500, + ) + + return call_tool + + +def create_list_resources_endpoint( + extension: "MCPServerExtension", +) -> Callable[[func.HttpRequest], Awaitable[func.HttpResponse]]: + """Create endpoint to list available resources (conversation histories).""" + + async def list_resources(req: func.HttpRequest) -> func.HttpResponse: + """MCP endpoint: List resources.""" + logger.info("MCP: Listing resources (not yet implemented)") + + resources: list[Any] = [] + + return func.HttpResponse( + json.dumps({"resources": resources}), mimetype="application/json", status_code=200 + ) + + return list_resources + + +def create_read_resource_endpoint( + extension: "MCPServerExtension", +) -> Callable[ + [func.HttpRequest, str, df.DurableOrchestrationClient], Awaitable[func.HttpResponse] +]: + """Create endpoint to read a resource (conversation history).""" + + async def read_resource( + req: func.HttpRequest, resource_uri: str, client: df.DurableOrchestrationClient + ) -> func.HttpResponse: + """MCP endpoint: Read resource.""" + logger.info(f"MCP: Reading resource {resource_uri} (not yet implemented)") + + return func.HttpResponse( + json.dumps({"error": "Resources not yet implemented"}), + mimetype="application/json", + status_code=501, # Not Implemented + ) + + return read_resource + + +def create_list_prompts_endpoint( + extension: "MCPServerExtension", +) -> Callable[[func.HttpRequest], Awaitable[func.HttpResponse]]: + """Create endpoint to list available prompts.""" + + async def list_prompts(req: func.HttpRequest) -> func.HttpResponse: + """MCP endpoint: List prompts.""" + logger.info("MCP: Listing prompts (not yet implemented)") + + prompts: list[Any] = [] + + return func.HttpResponse( + json.dumps({"prompts": prompts}), mimetype="application/json", status_code=200 + ) + + return list_prompts + + +def create_jsonrpc_handler( + extension: "MCPServerExtension", +) -> Callable[[func.HttpRequest, df.DurableOrchestrationClient], Awaitable[func.HttpResponse]]: + """Create JSON-RPC 2.0 message handler for MCP protocol. + + This handles the full MCP protocol including initialize handshake. + MCP clients send JSON-RPC messages to the base endpoint. + """ + + async def handle_jsonrpc( + req: func.HttpRequest, client: df.DurableOrchestrationClient + ) -> func.HttpResponse: + """Handle JSON-RPC 2.0 messages from MCP clients. + + Supported methods: + - initialize: Handshake to establish connection + - tools/list: List available tools + - tools/call: Invoke a tool + """ + try: + body = req.get_json() + except ValueError: + logger.error("MCP JSON-RPC: Invalid JSON in request") + return func.HttpResponse( + json.dumps( + {"jsonrpc": "2.0", "error": {"code": -32700, "message": "Parse error"}, "id": None} + ), + mimetype="application/json", + status_code=400, + ) + + # Extract JSON-RPC fields + jsonrpc_version = body.get("jsonrpc") + method = body.get("method") + params = body.get("params", {}) + request_id = body.get("id") + + logger.info(f"MCP JSON-RPC: method={method}, id={request_id}") + + # Validate JSON-RPC version + if jsonrpc_version != "2.0": + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "error": { + "code": -32600, + "message": "Invalid Request - must be JSON-RPC 2.0", + }, + "id": request_id, + } + ), + mimetype="application/json", + status_code=400, + ) + + # Handle notifications (requests without an id) + if request_id is None: + # Notifications don't expect a response + if method == "notifications/initialized": + logger.info("MCP JSON-RPC: Client initialized notification received") + return func.HttpResponse(status_code=204) # No Content + elif method and method.startswith("notifications/"): + logger.info(f"MCP JSON-RPC: Notification received: {method}") + return func.HttpResponse(status_code=204) # No Content + else: + # Invalid notification + logger.warning(f"MCP JSON-RPC: Invalid notification: {method}") + return func.HttpResponse(status_code=204) # Still return 204 for notifications + + # Handle different methods + if method == "initialize": + # MCP handshake + logger.info("MCP JSON-RPC: Handling initialize request") + result = { + "protocolVersion": "2024-11-05", + "capabilities": { + "tools": {}, + "resources": {} if extension.enable_resources else None, + "prompts": {} if extension.enable_prompts else None, + }, + "serverInfo": {"name": "durable-agent-mcp-server", "version": "1.0.0"}, + } + # Remove None capabilities + result["capabilities"] = { + k: v for k, v in result["capabilities"].items() if v is not None + } + + return func.HttpResponse( + json.dumps({"jsonrpc": "2.0", "result": result, "id": request_id}), + mimetype="application/json", + status_code=200, + ) + + elif method == "tools/list": + # List available tools + logger.info("MCP JSON-RPC: Handling tools/list request") + tools = [] + + for agent_name in extension.get_exposed_agents(): + agent = extension.app.agents.get(agent_name) + if not agent: + continue + + config = extension._tool_configs.get(agent_name, {}) + + tool = { + "name": agent_name, + "description": config.get("description") or f"Invoke {agent_name} agent", + "inputSchema": { + "type": "object", + "properties": { + "message": { + "type": "string", + "description": "Message to send to the agent", + }, + "sessionId": { + "type": "string", + "description": "Optional session ID for conversation continuity", + }, + }, + "required": ["message"], + }, + } + + if config.get("display_name"): + tool["displayName"] = config["display_name"] + if config.get("category"): + tool["category"] = config["category"] + if config.get("examples"): + tool["examples"] = config["examples"] + + tools.append(tool) + + return func.HttpResponse( + json.dumps({"jsonrpc": "2.0", "result": {"tools": tools}, "id": request_id}), + mimetype="application/json", + status_code=200, + ) + + elif method == "tools/call": + # Invoke a tool + tool_name = params.get("name") + arguments = params.get("arguments", {}) + + logger.info(f"MCP JSON-RPC: Handling tools/call - name={tool_name}") + + if not tool_name: + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "error": {"code": -32602, "message": "Missing tool name"}, + "id": request_id, + } + ), + mimetype="application/json", + status_code=400, + ) + + # Check if agent exists + if tool_name not in extension.get_exposed_agents(): + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "error": {"code": -32602, "message": f"Tool '{tool_name}' not found"}, + "id": request_id, + } + ), + mimetype="application/json", + status_code=404, + ) + + # Extract parameters + message = arguments.get("message") + session_id = arguments.get("sessionId") + enable_tool_calls = arguments.get("enable_tool_calls", True) + + if not message: + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "error": {"code": -32602, "message": "Missing 'message' in arguments"}, + "id": request_id, + } + ), + mimetype="application/json", + status_code=400, + ) + + # Create or parse session ID + from .._models import AgentSessionId + + if session_id: + try: + session = AgentSessionId.parse(session_id) + except Exception as e: + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "error": {"code": -32602, "message": f"Invalid session ID: {str(e)}"}, + "id": request_id, + } + ), + mimetype="application/json", + status_code=400, + ) + else: + session = AgentSessionId.with_random_key(tool_name) + + # Invoke agent + entity_id = session.to_entity_id() + + try: + # Generate correlation ID for tracking this request + correlation_id = str(uuid.uuid4()) + + # Signal the entity to run the agent + await client.signal_entity( + entity_id, + "run_agent", + { + "message": message, + "enable_tool_calls": enable_tool_calls, + "mcp_invocation": True, + "correlation_id": correlation_id, + "conversation_id": session.key, + }, + ) + + # Poll for response using the app's method + result = await extension.app._get_response_from_entity( + client=client, + entity_instance_id=entity_id, + correlation_id=correlation_id, + message=message, + session_key=session.key, + ) + + response_text = result.get("response", "") + if not response_text and result.get("error"): + response_text = f"Error: {result.get('error')}" + + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "result": { + "content": [{"type": "text", "text": response_text}], + "isError": result.get("status") == "error", + }, + "id": request_id, + } + ), + mimetype="application/json", + status_code=200, + ) + + except Exception as e: + logger.error(f"MCP JSON-RPC: Error invoking tool: {str(e)}", exc_info=True) + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "error": {"code": -32603, "message": f"Internal error: {str(e)}"}, + "id": request_id, + } + ), + mimetype="application/json", + status_code=500, + ) + + else: + # Method not found + logger.warning(f"MCP JSON-RPC: Unknown method: {method}") + return func.HttpResponse( + json.dumps( + { + "jsonrpc": "2.0", + "error": {"code": -32601, "message": f"Method not found: {method}"}, + "id": request_id, + } + ), + mimetype="application/json", + status_code=404, + ) + + return handle_jsonrpc diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py new file mode 100644 index 0000000000..67175732c1 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py @@ -0,0 +1,238 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""MCP Server Extension for AgentFunctionApp. + +This module provides the MCPServerExtension class that adds MCP protocol support +to durable agents, allowing them to be used as tools by MCP clients. +""" + +from typing import TYPE_CHECKING, Any + +from agent_framework import get_logger + +if TYPE_CHECKING: + from .._app import AgentFunctionApp + +logger = get_logger("agent_framework.azurefunctions.mcp") + + +class MCPServerExtension: + """Extension to expose durable agents as MCP tools. + + This creates HTTP endpoints that implement the MCP protocol, + allowing any MCP client (Claude Desktop, Cursor, etc.) to invoke + agents as tools while maintaining durable state. + + Example: + ```python + from agent_framework.azurefunctions import AgentFunctionApp + from agent_framework.azurefunctions.mcp import MCPServerExtension + + app = AgentFunctionApp("MyApp") + app.add_agent(weather_agent) + + # Enable MCP server - all agents become MCP tools + mcp = MCPServerExtension(app) + app.register_mcp_server(mcp) + ``` + + Advanced Usage: + ```python + # Selective agent exposure + mcp = MCPServerExtension( + app, + expose_agents=["WeatherAgent", "MathAgent"], + route_prefix="/mcp/v1" + ) + + # Customize tool appearance + mcp.configure_tool( + "WeatherAgent", + description="Get detailed weather information", + display_name="Weather Tool", + examples=["What's the weather in Seattle?"] + ) + + app.register_mcp_server(mcp) + ``` + """ + + def __init__( + self, + app: "AgentFunctionApp", + expose_agents: list[str] | None = None, + route_prefix: str = "mcp/v1", + enable_streaming: bool = False, + enable_resources: bool = False, + enable_prompts: bool = False, + auth_level: str = "function", + ) -> None: + """Initialize MCP server extension. + + Args: + app: AgentFunctionApp instance to extend + expose_agents: List of agent names to expose. If None, all agents are exposed + route_prefix: URL prefix for MCP endpoints (default: mcp/v1, becomes /api/mcp/v1) + enable_streaming: Enable SSE streaming + enable_resources: Enable resource endpoints for conversation history + enable_prompts: Enable prompt template endpoints + auth_level: Azure Functions authentication level (anonymous, function, admin) + """ + self.app = app + self.expose_agents = expose_agents + self.route_prefix = route_prefix + self.enable_streaming = enable_streaming + self.enable_resources = enable_resources + self.enable_prompts = enable_prompts + self.auth_level = auth_level + self._tool_configs: dict[str, dict[str, Any]] = {} + + logger.info(f"MCPServerExtension initialized with route_prefix={route_prefix}") + + def configure_tool( + self, + agent_name: str, + description: str | None = None, + display_name: str | None = None, + category: str | None = None, + examples: list[str] | None = None, + ) -> None: + """Configure how an agent appears as an MCP tool. + + Args: + agent_name: Name of the agent to configure + description: Custom description for the tool + display_name: Display name shown to users + category: Category for grouping tools + examples: Example prompts for using the tool + + Example: + ```python + mcp.configure_tool( + "WeatherAgent", + description="Get weather information for any location", + display_name="Weather Information", + category="utilities", + examples=[ + "What's the weather in Seattle?", + "Will it rain tomorrow in Boston?" + ] + ) + ``` + """ + logger.info(f"Configuring MCP tool: {agent_name}") + + self._tool_configs[agent_name] = { + "description": description, + "display_name": display_name, + "category": category, + "examples": examples, + } + + def get_exposed_agents(self) -> list[str]: + """Get list of agents to expose via MCP. + + Returns: + List of agent names that should be available as MCP tools + """ + if self.expose_agents is not None: + # Filter to only include registered agents + exposed = [name for name in self.expose_agents if name in self.app.agents] + if len(exposed) < len(self.expose_agents): + missing = set(self.expose_agents) - set(exposed) + logger.warning(f"Some agents in expose_agents not found: {missing}") + return exposed + + # Expose all registered agents + return list(self.app.agents.keys()) + + def register(self) -> None: + """Register MCP endpoints with the function app. + + This is called by AgentFunctionApp.register_mcp_server() and should not + be called directly by users. + + Registers the following endpoints: + - POST {route_prefix} - JSON-RPC 2.0 handler + - GET/POST {route_prefix}/tools - List available tools + - POST {route_prefix}/call - Invoke a tool + - GET/POST {route_prefix}/resources - List resources (if enabled) + - GET {route_prefix}/resources/{uri} - Read resource (if enabled) + - GET/POST {route_prefix}/prompts - List prompts (if enabled) + """ + from ._endpoints import ( + create_call_tool_endpoint, + create_jsonrpc_handler, + create_list_prompts_endpoint, + create_list_resources_endpoint, + create_list_tools_endpoint, + create_read_resource_endpoint, + ) + + logger.info(f"Registering MCP endpoints with route_prefix={self.route_prefix}") + logger.info(f"Exposing {len(self.get_exposed_agents())} agents as MCP tools") + + # JSON-RPC base endpoint for MCP protocol + logger.info(f"Registering: {self.route_prefix} (JSON-RPC handler)") + jsonrpc_func = create_jsonrpc_handler(self) + jsonrpc_func = self.app.durable_client_input(client_name="client")(jsonrpc_func) + jsonrpc_func = self.app.route( + route=f"{self.route_prefix}", methods=["POST"], auth_level=self.auth_level + )(jsonrpc_func) + + # List tools endpoint (backward compatibility) + logger.info(f"Registering: {self.route_prefix}/tools") + self.app.route( + route=f"{self.route_prefix}/tools", + methods=["GET", "POST"], + auth_level=self.auth_level, + )(create_list_tools_endpoint(self)) + + # Call tool endpoint (needs durable client) + logger.info(f"Registering: {self.route_prefix}/call") + call_tool_func = create_call_tool_endpoint(self) + # Apply decorators + call_tool_func = self.app.durable_client_input(client_name="client")(call_tool_func) + call_tool_func = self.app.route( + route=f"{self.route_prefix}/call", methods=["POST"], auth_level=self.auth_level + )(call_tool_func) + + # Resources endpoints + if self.enable_resources: + logger.info(f"Registering: {self.route_prefix}/resources") + self.app.route( + route=f"{self.route_prefix}/resources", + methods=["GET", "POST"], + auth_level=self.auth_level, + )(create_list_resources_endpoint(self)) + + logger.info(f"Registering: {self.route_prefix}/resources/{{resource_uri}}") + read_resource_func = create_read_resource_endpoint(self) + # Apply decorators (read_resource needs durable client) + read_resource_func = self.app.durable_client_input(client_name="client")( + read_resource_func + ) + read_resource_func = self.app.route( + route=f"{self.route_prefix}/resources/{{resource_uri}}", + methods=["GET"], + auth_level=self.auth_level, + )(read_resource_func) + + # Prompts endpoints + if self.enable_prompts: + logger.info(f"Registering: {self.route_prefix}/prompts") + self.app.route( + route=f"{self.route_prefix}/prompts", + methods=["GET", "POST"], + auth_level=self.auth_level, + )(create_list_prompts_endpoint(self)) + + logger.info("MCP server endpoints registered successfully") + + # Log exposed agents + for agent_name in self.get_exposed_agents(): + config = self._tool_configs.get(agent_name) + if config: + logger.info(f" - {agent_name}: {config.get('description', 'No description')}") + else: + logger.info(f" - {agent_name}") diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py new file mode 100644 index 0000000000..a4ecf92ff6 --- /dev/null +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py @@ -0,0 +1,108 @@ +# Copyright (c) Microsoft. All rights reserved. + +"""MCP Protocol Data Models. + +This module defines the data structures used for MCP protocol communication. +""" + +from collections.abc import Sequence +from dataclasses import dataclass, field +from typing import Any + + +@dataclass +class MCPTool: + """Represents an MCP tool definition. + + An MCP tool corresponds to a durable agent that can be invoked by MCP clients. + """ + + name: str + description: str + inputSchema: dict[str, Any] + displayName: str | None = None + category: str | None = None + examples: list[str] | None = None + + def to_dict(self) -> dict[str, Any]: + """Convert to dictionary for JSON serialization.""" + result = { + "name": self.name, + "description": self.description, + "inputSchema": self.inputSchema, + } + if self.displayName: + result["displayName"] = self.displayName + if self.category: + result["category"] = self.category + if self.examples: + result["examples"] = self.examples + return result + + +@dataclass +class MCPResource: + """Represents an MCP resource (e.g., conversation history). + + Resources provide read-only access to data like conversation histories. + """ + + uri: str + name: str + mimeType: str + description: str | None = None + + def to_dict(self) -> dict[str, Any]: + """Convert to dictionary for JSON serialization.""" + result = { + "uri": self.uri, + "name": self.name, + "mimeType": self.mimeType, + } + if self.description: + result["description"] = self.description + return result + + +@dataclass +class MCPCallResult: + """Result from calling an MCP tool. + + Contains the response content and optional metadata about the invocation. + """ + + content: list[dict[str, Any]] = field(default_factory=list) + metadata: dict[str, Any] | None = None + isError: bool = False + + def to_dict(self) -> dict[str, Any]: + """Convert to dictionary for JSON serialization.""" + result = {"content": self.content} + if self.metadata: + result["metadata"] = self.metadata + if self.isError: + result["isError"] = self.isError + return result + + @classmethod + def from_text( + cls, + text: str, + metadata: dict[str, Any] | None = None, + is_error: bool = False, + ) -> "MCPCallResult": + """Create a result from text content.""" + return cls( + content=[{"type": "text", "text": text}], + metadata=metadata, + isError=is_error, + ) + + @classmethod + def from_error(cls, error_message: str, **metadata: Any) -> "MCPCallResult": + """Create an error result.""" + return cls( + content=[{"type": "text", "text": f"Error: {error_message}"}], + metadata=metadata if metadata else None, + isError=True, + ) diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md new file mode 100644 index 0000000000..4116575325 --- /dev/null +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -0,0 +1,185 @@ +# MCP Server Sample (Python) + +This sample demonstrates how to expose AI agents as MCP (Model Context Protocol) tools using the Durable Extension for Agent Framework. The sample creates a weather agent and exposes it via both standard HTTP endpoints and MCP protocol endpoints for use with MCP-compatible clients like Claude Desktop, Cursor, or VSCode. + +## Key Concepts Demonstrated + +- Defining an AI agent with the Microsoft Agent Framework and exposing it through MCP protocol. +- Using `MCPServerExtension` to automatically generate MCP-compliant endpoints. +- Supporting both direct HTTP API access and MCP JSON-RPC protocol for the same agent. +- Session-based conversation management compatible with MCP clients. +- Dual-mode access: standard HTTP triggers (`/api/agents/{agent_name}/run`) and MCP endpoints (`/api/mcp/v1/*`). + +## Environment Setup + +### 1. Create and activate a virtual environment + +**Windows (PowerShell):** +```powershell +python -m venv .venv +.venv\Scripts\Activate.ps1 +``` + +**Linux/macOS:** +```bash +python -m venv .venv +source .venv/bin/activate +``` + +### 2. Install dependencies + +See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. + +### 3. Configure local settings + +Copy `local.settings.json.template` to `local.settings.json`, then set the Azure OpenAI values (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and optionally `AZURE_OPENAI_API_KEY`) to match your environment. + +## Running the Sample + +With the environment setup and function app running, you can test the sample using either standard HTTP endpoints or MCP protocol endpoints. + +You can use the `demo.http` file to send requests, or command line tools as shown below. + +### Test via Standard HTTP Endpoint + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/agents/WeatherAgent/run \ + -H "Content-Type: application/json" \ + -d '{"message": "What is the weather in Seattle?"}' +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/agents/WeatherAgent/run ` + -ContentType application/json ` + -Body '{"message": "What is the weather in Seattle?"}' +``` + +Expected response: +```json +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "What is the weather in Seattle?", + "conversation_id": "", + "correlation_id": "" +} +``` + +### Test MCP Endpoints + +List available MCP tools: + +Bash (Linux/macOS/WSL): + +```bash +curl http://localhost:7071/api/mcp/v1/tools +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Uri http://localhost:7071/api/mcp/v1/tools +``` + +Call agent via MCP protocol: + +Bash (Linux/macOS/WSL): + +```bash +curl -X POST http://localhost:7071/api/mcp/v1/call \ + -H "Content-Type: application/json" \ + -d '{"name": "WeatherAgent", "arguments": {"message": "What is the weather in Seattle?"}}' +``` + +PowerShell: + +```powershell +Invoke-RestMethod -Method Post ` + -Uri http://localhost:7071/api/mcp/v1/call ` + -ContentType application/json ` + -Body '{"name": "WeatherAgent", "arguments": {"message": "What is the weather in Seattle?"}}' +``` + +## Using with MCP Clients + +Once the function app is running, you can connect MCP-compatible clients to interact with your agents. + +### Claude Desktop + +Add to your Claude Desktop configuration (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS or `%APPDATA%\Claude\claude_desktop_config.json` on Windows): + +```json +{ + "mcpServers": { + "weather-agent": { + "url": "http://localhost:7071/api/mcp/v1" + } + } +} +``` + +### VSCode/Cursor + +Configure your MCP client extension settings to connect to `http://localhost:7071/api/mcp/v1`. + +## Code Structure + +The sample shows how to enable MCP protocol support with minimal code changes: + +```python +# Create your agent as usual +weather_agent = _create_weather_agent() + +# Initialize the Function app +app = AgentFunctionApp(agents=[weather_agent]) + +# Enable MCP with just 2 lines +mcp = MCPServerExtension(app, [weather_agent]) +app.register_mcp_server(mcp) +``` + +This automatically creates the following endpoints: +- `POST /api/agents/WeatherAgent/run` - Standard HTTP endpoint +- `POST /api/mcp/v1` - MCP JSON-RPC handler +- `GET /api/mcp/v1/tools` - List available MCP tools +- `POST /api/mcp/v1/call` - Direct MCP tool invocation + +## Expected Output + +When you call the agent via the standard HTTP endpoint, you receive a 202 Accepted response: + +```json +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "What is the weather in Seattle?", + "conversation_id": "", + "correlation_id": "" +} +``` + +When you list MCP tools, you receive the agent's metadata: + +```json +{ + "tools": [ + { + "name": "WeatherAgent", + "description": "A helpful weather assistant", + "inputSchema": { + "type": "object", + "properties": { + "message": {"type": "string"}, + "sessionId": {"type": "string"} + }, + "required": ["message"] + } + } + ] +} +``` diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/demo.http b/python/samples/getting_started/azure_functions/08_mcp_server/demo.http new file mode 100644 index 0000000000..6b335cd089 --- /dev/null +++ b/python/samples/getting_started/azure_functions/08_mcp_server/demo.http @@ -0,0 +1,83 @@ +### Variables +@baseUrl = http://localhost:7071 + +### Health Check +GET {{baseUrl}}/api/health + +### List MCP Tools +GET {{baseUrl}}/api/mcp/v1/tools + +### Call Agent via Standard HTTP Endpoint +POST {{baseUrl}}/api/agents/WeatherAgent/run +Content-Type: application/json + +{ + "message": "What is the weather in Seattle?" +} + +### Call Agent via MCP Protocol (JSON-RPC) +POST {{baseUrl}}/api/mcp/v1 +Content-Type: application/json + +{ + "jsonrpc": "2.0", + "id": 1, + "method": "tools/call", + "params": { + "name": "WeatherAgent", + "arguments": { + "message": "What is the weather in Seattle?" + } + } +} + +### Call MCP Tool via Direct Endpoint +POST {{baseUrl}}/api/mcp/v1/call +Content-Type: application/json + +{ + "name": "WeatherAgent", + "arguments": { + "message": "What is the weather in Seattle?" + } +} + +### Call Agent with Session Continuity +POST {{baseUrl}}/api/mcp/v1/call +Content-Type: application/json + +{ + "name": "WeatherAgent", + "arguments": { + "message": "What about New York?", + "sessionId": "test-session-123" + } +} + +### MCP JSON-RPC: List Tools +POST {{baseUrl}}/api/mcp/v1 +Content-Type: application/json + +{ + "jsonrpc": "2.0", + "id": 2, + "method": "tools/list", + "params": {} +} + +### MCP JSON-RPC: Call Tool with Session +POST {{baseUrl}}/api/mcp/v1 +Content-Type: application/json + +{ + "jsonrpc": "2.0", + "id": 3, + "method": "tools/call", + "params": { + "name": "WeatherAgent", + "arguments": { + "message": "Compare the weather in Tokyo and Paris", + "sessionId": "multi-city-session" + } + } +} diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py new file mode 100644 index 0000000000..93542d82a4 --- /dev/null +++ b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py @@ -0,0 +1,85 @@ +"""Expose Azure OpenAI agents as MCP (Model Context Protocol) tools. + +Components used in this sample: +- AzureOpenAIChatClient to create an agent with the Azure OpenAI deployment. +- AgentFunctionApp to expose standard HTTP endpoints via Durable Functions. +- MCPServerExtension to automatically generate MCP-compliant endpoints for agent tools. + +Prerequisites: set `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, plus either +`AZURE_OPENAI_API_KEY` or authenticate with Azure CLI before starting the Functions host.""" + +import logging +from typing import Any + +from agent_framework.azure import AzureOpenAIChatClient +from agent_framework.azurefunctions import AgentFunctionApp +from agent_framework.azurefunctions.mcp import MCPServerExtension + +logger = logging.getLogger(__name__) + + +def get_weather(location: str) -> dict[str, Any]: + """Get current weather for a location.""" + + logger.info(f"🔧 [TOOL CALLED] get_weather(location={location})") + result = { + "location": location, + "temperature": 72, + "conditions": "Sunny", + "humidity": 45, + "wind_speed": 5, + } + logger.info(f"✓ [TOOL RESULT] {result}") + return result + + +# 1. Create the weather agent with a tool function. +def _create_weather_agent() -> Any: + """Create the WeatherAgent with get_weather tool.""" + + return AzureOpenAIChatClient().create_agent( + name="WeatherAgent", + instructions="You are a helpful weather assistant. Use the get_weather tool to provide weather information.", + tools=[get_weather], + ) + + +# 2. Register the agent with AgentFunctionApp to expose standard HTTP endpoints. +app = AgentFunctionApp(agents=[_create_weather_agent()], enable_health_check=True) + +# 3. Enable MCP protocol support with 2 additional lines. +mcp = MCPServerExtension(app) +app.register_mcp_server(mcp) + +""" +Expected output when invoking `POST /api/agents/WeatherAgent/run`: + +HTTP/1.1 202 Accepted +{ + "status": "accepted", + "response": "Agent request accepted", + "message": "What is the weather in Seattle?", + "conversation_id": "", + "correlation_id": "" +} + +Expected output when invoking `GET /api/mcp/v1/tools`: + +HTTP/1.1 200 OK +{ + "tools": [ + { + "name": "WeatherAgent", + "description": "You are a helpful weather assistant...", + "inputSchema": { + "type": "object", + "properties": { + "message": {"type": "string"}, + "sessionId": {"type": "string"} + }, + "required": ["message"] + } + } + ] +} +""" diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/host.json b/python/samples/getting_started/azure_functions/08_mcp_server/host.json new file mode 100644 index 0000000000..b7e5ad1c0b --- /dev/null +++ b/python/samples/getting_started/azure_functions/08_mcp_server/host.json @@ -0,0 +1,7 @@ +{ + "version": "2.0", + "extensionBundle": { + "id": "Microsoft.Azure.Functions.ExtensionBundle", + "version": "[4.*, 5.0.0)" + } +} diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/local.settings.json.template b/python/samples/getting_started/azure_functions/08_mcp_server/local.settings.json.template new file mode 100644 index 0000000000..6c98a7d1cb --- /dev/null +++ b/python/samples/getting_started/azure_functions/08_mcp_server/local.settings.json.template @@ -0,0 +1,10 @@ +{ + "IsEncrypted": false, + "Values": { + "FUNCTIONS_WORKER_RUNTIME": "python", + "AzureWebJobsStorage": "UseDevelopmentStorage=true", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "AZURE_OPENAI_ENDPOINT": "", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + } +} diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/requirements.txt b/python/samples/getting_started/azure_functions/08_mcp_server/requirements.txt new file mode 100644 index 0000000000..39ad8a124f --- /dev/null +++ b/python/samples/getting_started/azure_functions/08_mcp_server/requirements.txt @@ -0,0 +1,2 @@ +agent-framework-azurefunctions +azure-identity From a6b6659b9902521fbd9cb7c5455c0e0a70bd3ab5 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Mon, 10 Nov 2025 12:19:01 -0600 Subject: [PATCH 09/19] Removed unused files and updated sample --- .../agent_framework_azurefunctions/_app.py | 81 ++- .../mcp/__init__.py | 31 - .../mcp/_endpoints.py | 637 ------------------ .../mcp/_extension.py | 238 ------- .../mcp/_models.py | 108 --- .../azure_functions/08_mcp_server/README.md | 142 +++- .../azure_functions/08_mcp_server/demo.http | 83 --- .../08_mcp_server/function_app.py | 133 ++-- 8 files changed, 243 insertions(+), 1210 deletions(-) delete mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py delete mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py delete mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py delete mode 100644 python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py delete mode 100644 python/samples/getting_started/azure_functions/08_mcp_server/demo.http diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index 97a32ba84b..48b7d31c3a 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -21,9 +21,6 @@ from ._models import AgentSessionId, ChatRole, RunRequest from ._state import AgentState -if TYPE_CHECKING: - from .mcp._extension import MCPServerExtension - logger = get_logger("agent_framework.azurefunctions") SESSION_ID_FIELD: str = "sessionId" @@ -430,7 +427,11 @@ async def get_conversation_state( ) def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None) -> None: - """Register an MCP tool trigger for an agent. + """ + Register an MCP tool trigger for an agent using Azure Functions native MCP support. + + This creates a native Azure Functions MCP tool trigger that exposes the agent + as an MCP tool, allowing it to be invoked by MCP-compatible clients. Args: agent_name: The agent name (used as the MCP tool name) @@ -438,6 +439,7 @@ def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None """ mcp_function_name = f"mcptool_{agent_name}" + # Define tool properties as JSON (MCP tool parameters) tool_properties = json.dumps( [ { @@ -470,30 +472,61 @@ async def mcp_tool_handler(context: Any, client: df.DurableOrchestrationClient) """Handle MCP tool invocation for the agent.""" return await self._handle_mcp_tool_invocation(agent_name=agent_name, context=context, client=client) - logger.debug(f"[AgentFunctionApp] Registered MCP tool trigger: {agent_name}") + logger.info(f"[AgentFunctionApp] Registered MCP tool trigger: {agent_name}") async def _handle_mcp_tool_invocation( self, agent_name: str, context: Any, client: df.DurableOrchestrationClient ) -> str: - """Handle an MCP tool invocation.""" + """ + Handle an MCP tool invocation. + + This method processes MCP tool requests and delegates to the agent entity. + + Args: + agent_name: Name of the agent being invoked + context: MCP tool invocation context containing arguments + client: Durable orchestration client + + Returns: + Agent response text + + Raises: + ValueError: If required arguments are missing + RuntimeError: If agent execution fails + """ + # Parse context if it's a JSON string + if isinstance(context, str): + try: + context = json.loads(context) + except json.JSONDecodeError as e: + raise ValueError(f"Invalid MCP context format: {e}") + + # Extract arguments from MCP context arguments = context.get("arguments", {}) if isinstance(context, dict) else {} + # Validate required 'query' argument query = arguments.get("query") if not query or not isinstance(query, str): raise ValueError("MCP Tool invocation is missing required 'query' argument of type string.") + # Extract optional threadId thread_id = arguments.get("threadId") + # Create or parse session ID if thread_id and isinstance(thread_id, str) and thread_id.strip(): try: session_id = AgentSessionId.parse(thread_id) except Exception: + # If parsing fails, create new session ID with thread_id as key session_id = AgentSessionId(name=agent_name, key=thread_id) else: + # Generate new session ID session_id = AgentSessionId.with_random_key(agent_name) + # Build entity instance ID entity_instance_id = session_id.to_entity_id() + # Create run request correlation_id = self._generate_unique_id() run_request = self._build_request_data( req_body={"message": query, "role": "user"}, @@ -502,10 +535,14 @@ async def _handle_mcp_tool_invocation( correlation_id=correlation_id, ) - logger.debug(f"[MCP Tool] Invoking agent '{agent_name}' with query: {query[:50]}...") + logger.info( + f"[MCP Tool] Invoking agent '{agent_name}' with query: {query[:50]}..." + ("" if len(query) <= 50 else "") + ) + # Signal entity to run agent await client.signal_entity(entity_instance_id, "run_agent", run_request) + # Poll for response (similar to HTTP handler) try: result = await self._get_response_from_entity( client=client, @@ -515,9 +552,10 @@ async def _handle_mcp_tool_invocation( session_key=str(session_id), ) + # Extract and return response text if result.get("status") == "success": response_text = result.get("response", "No response") - logger.debug(f"[MCP Tool] Agent '{agent_name}' responded successfully") + logger.info(f"[MCP Tool] Agent '{agent_name}' responded successfully") return response_text else: error_msg = result.get("error", "Unknown error") @@ -944,33 +982,6 @@ async def _read_cached_state( agent_state.restore_state(state_payload) return agent_state - def register_mcp_server(self, mcp_extension: "MCPServerExtension") -> None: - """Register MCP server endpoints. - - This enables the Model Context Protocol (MCP) for exposing agents as tools - that can be used by MCP clients like Claude Desktop, Cursor, etc. - - Args: - mcp_extension: MCPServerExtension instance configured with desired settings - - Example: - ```python - from agent_framework.azurefunctions.mcp import MCPServerExtension - - mcp = MCPServerExtension(app) - app.register_mcp_server(mcp) - ``` - - Note: - This should be called after all agents are registered via add_agent(). - """ - logger.info(f"Registering MCP server with route prefix: {mcp_extension.route_prefix}") - logger.info(f"Exposing {len(mcp_extension.get_exposed_agents())} agents as MCP tools") - - mcp_extension.register() - - logger.info("MCP server registered successfully") - def _coerce_to_bool(self, value: Any) -> bool: """Convert various representations into a boolean flag.""" if isinstance(value, bool): diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py deleted file mode 100644 index 5eae4bc5c3..0000000000 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/__init__.py +++ /dev/null @@ -1,31 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -"""MCP (Model Context Protocol) Server Integration for Agent Framework. - -This module provides the MCPServerExtension class to easily expose durable agents -as MCP tools, allowing them to be used by any MCP-compatible client (Claude Desktop, -Cursor, VSCode, etc.). - -Example: - ```python - from agent_framework.azurefunctions import AgentFunctionApp - from agent_framework.azurefunctions.mcp import MCPServerExtension - - app = AgentFunctionApp("MyApp") - app.add_agent(weather_agent) - - # Enable MCP server - all agents become MCP tools - mcp = MCPServerExtension(app) - app.register_mcp_server(mcp) - ``` -""" - -from ._extension import MCPServerExtension -from ._models import MCPCallResult, MCPResource, MCPTool - -__all__ = [ - "MCPServerExtension", - "MCPTool", - "MCPResource", - "MCPCallResult", -] diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py deleted file mode 100644 index 847b80fbe2..0000000000 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_endpoints.py +++ /dev/null @@ -1,637 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -"""MCP Protocol HTTP Endpoints. - -This module implements the HTTP handlers for MCP protocol operations. -""" - -import json -import uuid -from collections.abc import Awaitable, Callable -from typing import TYPE_CHECKING, Any - -import azure.durable_functions as df -import azure.functions as func -from agent_framework import get_logger - -if TYPE_CHECKING: - from ._extension import MCPServerExtension - -logger = get_logger("agent_framework.azurefunctions.mcp") - - -def create_list_tools_endpoint( - extension: "MCPServerExtension", -) -> Callable[[func.HttpRequest], Awaitable[func.HttpResponse]]: - """Create endpoint to list available tools (agents). - - Returns: - Async function that handles GET/POST requests to list MCP tools - """ - - async def list_tools(req: func.HttpRequest) -> func.HttpResponse: - """MCP endpoint: List available tools. - - Returns JSON response with tool definitions for all exposed agents. - - Example response: - { - "tools": [ - { - "name": "WeatherAgent", - "description": "Get weather information", - "inputSchema": {...} - } - ] - } - """ - logger.info("MCP: Listing available tools") - - tools = [] - - for agent_name in extension.get_exposed_agents(): - agent = extension.app.agents.get(agent_name) - if not agent: - logger.warning(f"Agent '{agent_name}' not found in app registry") - continue - - # Get custom configuration or use defaults - config = extension._tool_configs.get(agent_name, {}) - - tool = { - "name": agent_name, - "description": config.get("description") or f"Invoke {agent_name} agent", - "inputSchema": { - "type": "object", - "properties": { - "message": { - "type": "string", - "description": "Message to send to the agent", - }, - "sessionId": { - "type": "string", - "description": "Optional session ID for conversation continuity", - }, - "enable_tool_calls": { - "type": "boolean", - "description": "Whether to allow the agent to use tools (default: true)", - }, - }, - "required": ["message"], - }, - } - - # Add custom fields if configured - if config.get("display_name"): - tool["displayName"] = config["display_name"] - if config.get("category"): - tool["category"] = config["category"] - if config.get("examples"): - tool["examples"] = config["examples"] - - tools.append(tool) - - logger.info(f"MCP: Returning {len(tools)} tools") - - return func.HttpResponse( - json.dumps({"tools": tools}), mimetype="application/json", status_code=200 - ) - - return list_tools - - -def create_call_tool_endpoint( - extension: "MCPServerExtension", -) -> Callable[[func.HttpRequest, df.DurableOrchestrationClient], Awaitable[func.HttpResponse]]: - """Create endpoint to invoke a tool (agent). - - Returns: - Async function that handles POST requests to call MCP tools - """ - - async def call_tool( - req: func.HttpRequest, client: df.DurableOrchestrationClient - ) -> func.HttpResponse: - """MCP endpoint: Call a tool (invoke an agent). - - Expects JSON request body with: - { - "name": "WeatherAgent", - "arguments": { - "message": "What's the weather?", - "sessionId": "optional-session-id", - "enable_tool_calls": true - } - } - - Returns: - { - "content": [{"type": "text", "text": "Response text"}], - "metadata": { - "sessionId": "session-id", - "messageCount": 1, - "timestamp": "..." - } - } - """ - try: - body = req.get_json() - except ValueError: - logger.error("MCP: Invalid JSON in request body") - return func.HttpResponse( - json.dumps({"error": "Invalid JSON"}), - mimetype="application/json", - status_code=400, - ) - - # Extract tool name and arguments - tool_name = body.get("name") - arguments = body.get("arguments", {}) - - logger.info(f"MCP: Call tool request - name={tool_name}") - - if not tool_name: - logger.error("MCP: Missing tool name in request") - return func.HttpResponse( - json.dumps({"error": "Missing tool name"}), - mimetype="application/json", - status_code=400, - ) - - # Check if agent exists and is exposed - if tool_name not in extension.get_exposed_agents(): - logger.error(f"MCP: Tool '{tool_name}' not found or not exposed") - return func.HttpResponse( - json.dumps({"error": f"Tool '{tool_name}' not found"}), - mimetype="application/json", - status_code=404, - ) - - # Get agent - agent = extension.app.agents.get(tool_name) - if not agent: - logger.error(f"MCP: Agent '{tool_name}' not found in registry") - return func.HttpResponse( - json.dumps({"error": f"Agent '{tool_name}' not found"}), - mimetype="application/json", - status_code=404, - ) - - # Extract parameters - message = arguments.get("message") - session_id = arguments.get("sessionId") - enable_tool_calls = arguments.get("enable_tool_calls", True) - - if not message: - logger.error("MCP: Missing 'message' in arguments") - return func.HttpResponse( - json.dumps({"error": "Missing 'message' in arguments"}), - mimetype="application/json", - status_code=400, - ) - - # Create or parse session ID - from .._models import AgentSessionId - - if session_id: - try: - session = AgentSessionId.parse(session_id) - logger.info(f"MCP: Using existing session - {session_id}") - except Exception as e: - logger.error(f"MCP: Invalid session ID format - {session_id}: {e}") - return func.HttpResponse( - json.dumps({"error": f"Invalid session ID format: {str(e)}"}), - mimetype="application/json", - status_code=400, - ) - else: - session = AgentSessionId.with_random_key(tool_name) - logger.info(f"MCP: Created new session - {session}") - - # Invoke agent via durable entity - entity_id = session.to_entity_id() - - try: - logger.info(f"MCP: Invoking entity - {entity_id}") - - # Generate correlation ID for tracking this request - correlation_id = str(uuid.uuid4()) - - # Signal the entity to run the agent - await client.signal_entity( - entity_id, - "run_agent", - { - "message": message, - "enable_tool_calls": enable_tool_calls, - "mcp_invocation": True, - "correlation_id": correlation_id, - "conversation_id": session.key, - }, - ) - - logger.info(f"MCP: Signal sent to entity - {entity_id}") - - # Poll for response using the app's method - result = await extension.app._get_response_from_entity( - client=client, - entity_instance_id=entity_id, - correlation_id=correlation_id, - message=message, - session_key=session.key, - ) - - logger.info(f"MCP: Entity invocation successful - {entity_id}") - - # Format response for MCP - response_text = result.get("response", "") - if not response_text and result.get("error"): - response_text = f"Error: {result.get('error')}" - - response: dict[str, Any] = { - "content": [{"type": "text", "text": response_text}], - "metadata": { - "sessionId": str(session), - "messageCount": result.get("message_count", 0), - "agentName": tool_name, - }, - } - - # Add timestamp if available - if result.get("timestamp"): - response["metadata"]["timestamp"] = result["timestamp"] - - # Mark as error if agent returned error - if result.get("status") == "error": - response["isError"] = True - - return func.HttpResponse( - json.dumps(response), mimetype="application/json", status_code=200 - ) - - except Exception as e: - logger.error(f"MCP: Error invoking entity - {entity_id}: {str(e)}", exc_info=True) - return func.HttpResponse( - json.dumps( - { - "content": [{"type": "text", "text": f"Error invoking agent: {str(e)}"}], - "isError": True, - "metadata": {"sessionId": str(session), "agentName": tool_name}, - } - ), - mimetype="application/json", - status_code=500, - ) - - return call_tool - - -def create_list_resources_endpoint( - extension: "MCPServerExtension", -) -> Callable[[func.HttpRequest], Awaitable[func.HttpResponse]]: - """Create endpoint to list available resources (conversation histories).""" - - async def list_resources(req: func.HttpRequest) -> func.HttpResponse: - """MCP endpoint: List resources.""" - logger.info("MCP: Listing resources (not yet implemented)") - - resources: list[Any] = [] - - return func.HttpResponse( - json.dumps({"resources": resources}), mimetype="application/json", status_code=200 - ) - - return list_resources - - -def create_read_resource_endpoint( - extension: "MCPServerExtension", -) -> Callable[ - [func.HttpRequest, str, df.DurableOrchestrationClient], Awaitable[func.HttpResponse] -]: - """Create endpoint to read a resource (conversation history).""" - - async def read_resource( - req: func.HttpRequest, resource_uri: str, client: df.DurableOrchestrationClient - ) -> func.HttpResponse: - """MCP endpoint: Read resource.""" - logger.info(f"MCP: Reading resource {resource_uri} (not yet implemented)") - - return func.HttpResponse( - json.dumps({"error": "Resources not yet implemented"}), - mimetype="application/json", - status_code=501, # Not Implemented - ) - - return read_resource - - -def create_list_prompts_endpoint( - extension: "MCPServerExtension", -) -> Callable[[func.HttpRequest], Awaitable[func.HttpResponse]]: - """Create endpoint to list available prompts.""" - - async def list_prompts(req: func.HttpRequest) -> func.HttpResponse: - """MCP endpoint: List prompts.""" - logger.info("MCP: Listing prompts (not yet implemented)") - - prompts: list[Any] = [] - - return func.HttpResponse( - json.dumps({"prompts": prompts}), mimetype="application/json", status_code=200 - ) - - return list_prompts - - -def create_jsonrpc_handler( - extension: "MCPServerExtension", -) -> Callable[[func.HttpRequest, df.DurableOrchestrationClient], Awaitable[func.HttpResponse]]: - """Create JSON-RPC 2.0 message handler for MCP protocol. - - This handles the full MCP protocol including initialize handshake. - MCP clients send JSON-RPC messages to the base endpoint. - """ - - async def handle_jsonrpc( - req: func.HttpRequest, client: df.DurableOrchestrationClient - ) -> func.HttpResponse: - """Handle JSON-RPC 2.0 messages from MCP clients. - - Supported methods: - - initialize: Handshake to establish connection - - tools/list: List available tools - - tools/call: Invoke a tool - """ - try: - body = req.get_json() - except ValueError: - logger.error("MCP JSON-RPC: Invalid JSON in request") - return func.HttpResponse( - json.dumps( - {"jsonrpc": "2.0", "error": {"code": -32700, "message": "Parse error"}, "id": None} - ), - mimetype="application/json", - status_code=400, - ) - - # Extract JSON-RPC fields - jsonrpc_version = body.get("jsonrpc") - method = body.get("method") - params = body.get("params", {}) - request_id = body.get("id") - - logger.info(f"MCP JSON-RPC: method={method}, id={request_id}") - - # Validate JSON-RPC version - if jsonrpc_version != "2.0": - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "error": { - "code": -32600, - "message": "Invalid Request - must be JSON-RPC 2.0", - }, - "id": request_id, - } - ), - mimetype="application/json", - status_code=400, - ) - - # Handle notifications (requests without an id) - if request_id is None: - # Notifications don't expect a response - if method == "notifications/initialized": - logger.info("MCP JSON-RPC: Client initialized notification received") - return func.HttpResponse(status_code=204) # No Content - elif method and method.startswith("notifications/"): - logger.info(f"MCP JSON-RPC: Notification received: {method}") - return func.HttpResponse(status_code=204) # No Content - else: - # Invalid notification - logger.warning(f"MCP JSON-RPC: Invalid notification: {method}") - return func.HttpResponse(status_code=204) # Still return 204 for notifications - - # Handle different methods - if method == "initialize": - # MCP handshake - logger.info("MCP JSON-RPC: Handling initialize request") - result = { - "protocolVersion": "2024-11-05", - "capabilities": { - "tools": {}, - "resources": {} if extension.enable_resources else None, - "prompts": {} if extension.enable_prompts else None, - }, - "serverInfo": {"name": "durable-agent-mcp-server", "version": "1.0.0"}, - } - # Remove None capabilities - result["capabilities"] = { - k: v for k, v in result["capabilities"].items() if v is not None - } - - return func.HttpResponse( - json.dumps({"jsonrpc": "2.0", "result": result, "id": request_id}), - mimetype="application/json", - status_code=200, - ) - - elif method == "tools/list": - # List available tools - logger.info("MCP JSON-RPC: Handling tools/list request") - tools = [] - - for agent_name in extension.get_exposed_agents(): - agent = extension.app.agents.get(agent_name) - if not agent: - continue - - config = extension._tool_configs.get(agent_name, {}) - - tool = { - "name": agent_name, - "description": config.get("description") or f"Invoke {agent_name} agent", - "inputSchema": { - "type": "object", - "properties": { - "message": { - "type": "string", - "description": "Message to send to the agent", - }, - "sessionId": { - "type": "string", - "description": "Optional session ID for conversation continuity", - }, - }, - "required": ["message"], - }, - } - - if config.get("display_name"): - tool["displayName"] = config["display_name"] - if config.get("category"): - tool["category"] = config["category"] - if config.get("examples"): - tool["examples"] = config["examples"] - - tools.append(tool) - - return func.HttpResponse( - json.dumps({"jsonrpc": "2.0", "result": {"tools": tools}, "id": request_id}), - mimetype="application/json", - status_code=200, - ) - - elif method == "tools/call": - # Invoke a tool - tool_name = params.get("name") - arguments = params.get("arguments", {}) - - logger.info(f"MCP JSON-RPC: Handling tools/call - name={tool_name}") - - if not tool_name: - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "error": {"code": -32602, "message": "Missing tool name"}, - "id": request_id, - } - ), - mimetype="application/json", - status_code=400, - ) - - # Check if agent exists - if tool_name not in extension.get_exposed_agents(): - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "error": {"code": -32602, "message": f"Tool '{tool_name}' not found"}, - "id": request_id, - } - ), - mimetype="application/json", - status_code=404, - ) - - # Extract parameters - message = arguments.get("message") - session_id = arguments.get("sessionId") - enable_tool_calls = arguments.get("enable_tool_calls", True) - - if not message: - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "error": {"code": -32602, "message": "Missing 'message' in arguments"}, - "id": request_id, - } - ), - mimetype="application/json", - status_code=400, - ) - - # Create or parse session ID - from .._models import AgentSessionId - - if session_id: - try: - session = AgentSessionId.parse(session_id) - except Exception as e: - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "error": {"code": -32602, "message": f"Invalid session ID: {str(e)}"}, - "id": request_id, - } - ), - mimetype="application/json", - status_code=400, - ) - else: - session = AgentSessionId.with_random_key(tool_name) - - # Invoke agent - entity_id = session.to_entity_id() - - try: - # Generate correlation ID for tracking this request - correlation_id = str(uuid.uuid4()) - - # Signal the entity to run the agent - await client.signal_entity( - entity_id, - "run_agent", - { - "message": message, - "enable_tool_calls": enable_tool_calls, - "mcp_invocation": True, - "correlation_id": correlation_id, - "conversation_id": session.key, - }, - ) - - # Poll for response using the app's method - result = await extension.app._get_response_from_entity( - client=client, - entity_instance_id=entity_id, - correlation_id=correlation_id, - message=message, - session_key=session.key, - ) - - response_text = result.get("response", "") - if not response_text and result.get("error"): - response_text = f"Error: {result.get('error')}" - - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "result": { - "content": [{"type": "text", "text": response_text}], - "isError": result.get("status") == "error", - }, - "id": request_id, - } - ), - mimetype="application/json", - status_code=200, - ) - - except Exception as e: - logger.error(f"MCP JSON-RPC: Error invoking tool: {str(e)}", exc_info=True) - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "error": {"code": -32603, "message": f"Internal error: {str(e)}"}, - "id": request_id, - } - ), - mimetype="application/json", - status_code=500, - ) - - else: - # Method not found - logger.warning(f"MCP JSON-RPC: Unknown method: {method}") - return func.HttpResponse( - json.dumps( - { - "jsonrpc": "2.0", - "error": {"code": -32601, "message": f"Method not found: {method}"}, - "id": request_id, - } - ), - mimetype="application/json", - status_code=404, - ) - - return handle_jsonrpc diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py deleted file mode 100644 index 67175732c1..0000000000 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_extension.py +++ /dev/null @@ -1,238 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -"""MCP Server Extension for AgentFunctionApp. - -This module provides the MCPServerExtension class that adds MCP protocol support -to durable agents, allowing them to be used as tools by MCP clients. -""" - -from typing import TYPE_CHECKING, Any - -from agent_framework import get_logger - -if TYPE_CHECKING: - from .._app import AgentFunctionApp - -logger = get_logger("agent_framework.azurefunctions.mcp") - - -class MCPServerExtension: - """Extension to expose durable agents as MCP tools. - - This creates HTTP endpoints that implement the MCP protocol, - allowing any MCP client (Claude Desktop, Cursor, etc.) to invoke - agents as tools while maintaining durable state. - - Example: - ```python - from agent_framework.azurefunctions import AgentFunctionApp - from agent_framework.azurefunctions.mcp import MCPServerExtension - - app = AgentFunctionApp("MyApp") - app.add_agent(weather_agent) - - # Enable MCP server - all agents become MCP tools - mcp = MCPServerExtension(app) - app.register_mcp_server(mcp) - ``` - - Advanced Usage: - ```python - # Selective agent exposure - mcp = MCPServerExtension( - app, - expose_agents=["WeatherAgent", "MathAgent"], - route_prefix="/mcp/v1" - ) - - # Customize tool appearance - mcp.configure_tool( - "WeatherAgent", - description="Get detailed weather information", - display_name="Weather Tool", - examples=["What's the weather in Seattle?"] - ) - - app.register_mcp_server(mcp) - ``` - """ - - def __init__( - self, - app: "AgentFunctionApp", - expose_agents: list[str] | None = None, - route_prefix: str = "mcp/v1", - enable_streaming: bool = False, - enable_resources: bool = False, - enable_prompts: bool = False, - auth_level: str = "function", - ) -> None: - """Initialize MCP server extension. - - Args: - app: AgentFunctionApp instance to extend - expose_agents: List of agent names to expose. If None, all agents are exposed - route_prefix: URL prefix for MCP endpoints (default: mcp/v1, becomes /api/mcp/v1) - enable_streaming: Enable SSE streaming - enable_resources: Enable resource endpoints for conversation history - enable_prompts: Enable prompt template endpoints - auth_level: Azure Functions authentication level (anonymous, function, admin) - """ - self.app = app - self.expose_agents = expose_agents - self.route_prefix = route_prefix - self.enable_streaming = enable_streaming - self.enable_resources = enable_resources - self.enable_prompts = enable_prompts - self.auth_level = auth_level - self._tool_configs: dict[str, dict[str, Any]] = {} - - logger.info(f"MCPServerExtension initialized with route_prefix={route_prefix}") - - def configure_tool( - self, - agent_name: str, - description: str | None = None, - display_name: str | None = None, - category: str | None = None, - examples: list[str] | None = None, - ) -> None: - """Configure how an agent appears as an MCP tool. - - Args: - agent_name: Name of the agent to configure - description: Custom description for the tool - display_name: Display name shown to users - category: Category for grouping tools - examples: Example prompts for using the tool - - Example: - ```python - mcp.configure_tool( - "WeatherAgent", - description="Get weather information for any location", - display_name="Weather Information", - category="utilities", - examples=[ - "What's the weather in Seattle?", - "Will it rain tomorrow in Boston?" - ] - ) - ``` - """ - logger.info(f"Configuring MCP tool: {agent_name}") - - self._tool_configs[agent_name] = { - "description": description, - "display_name": display_name, - "category": category, - "examples": examples, - } - - def get_exposed_agents(self) -> list[str]: - """Get list of agents to expose via MCP. - - Returns: - List of agent names that should be available as MCP tools - """ - if self.expose_agents is not None: - # Filter to only include registered agents - exposed = [name for name in self.expose_agents if name in self.app.agents] - if len(exposed) < len(self.expose_agents): - missing = set(self.expose_agents) - set(exposed) - logger.warning(f"Some agents in expose_agents not found: {missing}") - return exposed - - # Expose all registered agents - return list(self.app.agents.keys()) - - def register(self) -> None: - """Register MCP endpoints with the function app. - - This is called by AgentFunctionApp.register_mcp_server() and should not - be called directly by users. - - Registers the following endpoints: - - POST {route_prefix} - JSON-RPC 2.0 handler - - GET/POST {route_prefix}/tools - List available tools - - POST {route_prefix}/call - Invoke a tool - - GET/POST {route_prefix}/resources - List resources (if enabled) - - GET {route_prefix}/resources/{uri} - Read resource (if enabled) - - GET/POST {route_prefix}/prompts - List prompts (if enabled) - """ - from ._endpoints import ( - create_call_tool_endpoint, - create_jsonrpc_handler, - create_list_prompts_endpoint, - create_list_resources_endpoint, - create_list_tools_endpoint, - create_read_resource_endpoint, - ) - - logger.info(f"Registering MCP endpoints with route_prefix={self.route_prefix}") - logger.info(f"Exposing {len(self.get_exposed_agents())} agents as MCP tools") - - # JSON-RPC base endpoint for MCP protocol - logger.info(f"Registering: {self.route_prefix} (JSON-RPC handler)") - jsonrpc_func = create_jsonrpc_handler(self) - jsonrpc_func = self.app.durable_client_input(client_name="client")(jsonrpc_func) - jsonrpc_func = self.app.route( - route=f"{self.route_prefix}", methods=["POST"], auth_level=self.auth_level - )(jsonrpc_func) - - # List tools endpoint (backward compatibility) - logger.info(f"Registering: {self.route_prefix}/tools") - self.app.route( - route=f"{self.route_prefix}/tools", - methods=["GET", "POST"], - auth_level=self.auth_level, - )(create_list_tools_endpoint(self)) - - # Call tool endpoint (needs durable client) - logger.info(f"Registering: {self.route_prefix}/call") - call_tool_func = create_call_tool_endpoint(self) - # Apply decorators - call_tool_func = self.app.durable_client_input(client_name="client")(call_tool_func) - call_tool_func = self.app.route( - route=f"{self.route_prefix}/call", methods=["POST"], auth_level=self.auth_level - )(call_tool_func) - - # Resources endpoints - if self.enable_resources: - logger.info(f"Registering: {self.route_prefix}/resources") - self.app.route( - route=f"{self.route_prefix}/resources", - methods=["GET", "POST"], - auth_level=self.auth_level, - )(create_list_resources_endpoint(self)) - - logger.info(f"Registering: {self.route_prefix}/resources/{{resource_uri}}") - read_resource_func = create_read_resource_endpoint(self) - # Apply decorators (read_resource needs durable client) - read_resource_func = self.app.durable_client_input(client_name="client")( - read_resource_func - ) - read_resource_func = self.app.route( - route=f"{self.route_prefix}/resources/{{resource_uri}}", - methods=["GET"], - auth_level=self.auth_level, - )(read_resource_func) - - # Prompts endpoints - if self.enable_prompts: - logger.info(f"Registering: {self.route_prefix}/prompts") - self.app.route( - route=f"{self.route_prefix}/prompts", - methods=["GET", "POST"], - auth_level=self.auth_level, - )(create_list_prompts_endpoint(self)) - - logger.info("MCP server endpoints registered successfully") - - # Log exposed agents - for agent_name in self.get_exposed_agents(): - config = self._tool_configs.get(agent_name) - if config: - logger.info(f" - {agent_name}: {config.get('description', 'No description')}") - else: - logger.info(f" - {agent_name}") diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py b/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py deleted file mode 100644 index a4ecf92ff6..0000000000 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/mcp/_models.py +++ /dev/null @@ -1,108 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -"""MCP Protocol Data Models. - -This module defines the data structures used for MCP protocol communication. -""" - -from collections.abc import Sequence -from dataclasses import dataclass, field -from typing import Any - - -@dataclass -class MCPTool: - """Represents an MCP tool definition. - - An MCP tool corresponds to a durable agent that can be invoked by MCP clients. - """ - - name: str - description: str - inputSchema: dict[str, Any] - displayName: str | None = None - category: str | None = None - examples: list[str] | None = None - - def to_dict(self) -> dict[str, Any]: - """Convert to dictionary for JSON serialization.""" - result = { - "name": self.name, - "description": self.description, - "inputSchema": self.inputSchema, - } - if self.displayName: - result["displayName"] = self.displayName - if self.category: - result["category"] = self.category - if self.examples: - result["examples"] = self.examples - return result - - -@dataclass -class MCPResource: - """Represents an MCP resource (e.g., conversation history). - - Resources provide read-only access to data like conversation histories. - """ - - uri: str - name: str - mimeType: str - description: str | None = None - - def to_dict(self) -> dict[str, Any]: - """Convert to dictionary for JSON serialization.""" - result = { - "uri": self.uri, - "name": self.name, - "mimeType": self.mimeType, - } - if self.description: - result["description"] = self.description - return result - - -@dataclass -class MCPCallResult: - """Result from calling an MCP tool. - - Contains the response content and optional metadata about the invocation. - """ - - content: list[dict[str, Any]] = field(default_factory=list) - metadata: dict[str, Any] | None = None - isError: bool = False - - def to_dict(self) -> dict[str, Any]: - """Convert to dictionary for JSON serialization.""" - result = {"content": self.content} - if self.metadata: - result["metadata"] = self.metadata - if self.isError: - result["isError"] = self.isError - return result - - @classmethod - def from_text( - cls, - text: str, - metadata: dict[str, Any] | None = None, - is_error: bool = False, - ) -> "MCPCallResult": - """Create a result from text content.""" - return cls( - content=[{"type": "text", "text": text}], - metadata=metadata, - isError=is_error, - ) - - @classmethod - def from_error(cls, error_message: str, **metadata: Any) -> "MCPCallResult": - """Create an error result.""" - return cls( - content=[{"type": "text", "text": f"Error: {error_message}"}], - metadata=metadata if metadata else None, - isError=True, - ) diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md index 4116575325..61a997bca7 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/README.md +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -1,4 +1,144 @@ -# MCP Server Sample (Python) +# Agent as MCP Tool Sample + +This sample demonstrates how to configure AI agents to be accessible as both HTTP endpoints and [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) tools, enabling flexible integration patterns for AI agent consumption. + +## Key Concepts Demonstrated + +- **Multi-trigger Agent Configuration**: Configure agents to support HTTP triggers, MCP tool triggers, or both +- **Microsoft Agent Framework Integration**: Use the framework to define AI agents with specific roles and capabilities +- **Flexible Agent Registration**: Register agents with customizable trigger configurations +- **MCP Server Hosting**: Expose agents as MCP tools for consumption by MCP-compatible clients + +## Sample Architecture + +This sample creates three agents with different trigger configurations: + +| Agent | Role | HTTP Trigger | MCP Tool Trigger | Description | +|-------|------|--------------|------------------|-------------| +| **Joker** | Comedy specialist | ✅ Enabled | ❌ Disabled | Accessible only via HTTP requests | +| **StockAdvisor** | Financial data | ❌ Disabled | ✅ Enabled | Accessible only as MCP tool | +| **PlantAdvisor** | Indoor plant recommendations | ✅ Enabled | ✅ Enabled | Accessible via both HTTP and MCP | + +## Environment Setup + +See the [README.md](../README.md) file in the parent directory for complete setup instructions, including: + +- Prerequisites installation +- Azure OpenAI configuration +- Durable Task Scheduler setup +- Storage emulator configuration + +## Configuration + +Update your `local.settings.json` with your Azure OpenAI credentials: + +```json +{ + "Values": { + "AZURE_OPENAI_ENDPOINT": "https://your-resource.openai.azure.com/", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "your-deployment-name", + "AZURE_OPENAI_KEY": "your-api-key-if-not-using-rbac" + } +} +``` + +## Running the Sample + +1. **Start the Function App**: + ```bash + cd python/samples/getting_started/azure_functions/08_mcp_server + func start + ``` + +2. **Note the MCP Server Endpoint**: When the app starts, you'll see the MCP server endpoint in the terminal output. It will look like: + ``` + MCP server endpoint: http://localhost:7071/runtime/webhooks/mcp + ``` + +## Testing MCP Tool Integration + +### Using MCP Inspector + +1. Install the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector) +2. Connect using the MCP server endpoint from your terminal output +3. Select **"Streamable HTTP"** as the transport method +4. Test the available MCP tools: + - `StockAdvisor` - Available only as MCP tool + - `PlantAdvisor` - Available as both HTTP and MCP tool + +### Using Other MCP Clients + +Any MCP-compatible client can connect to the server endpoint and utilize the exposed agent tools. The agents will appear as callable tools within the MCP protocol. + +## Testing HTTP Endpoints + +For agents with HTTP triggers enabled (Joker and PlantAdvisor), you can test them using curl: + +```bash +# Test Joker agent (HTTP only) +curl -X POST http://localhost:7071/api/agents/Joker/run \ + -H "Content-Type: application/json" \ + -d '{"message": "Tell me a joke"}' + +# Test PlantAdvisor agent (HTTP and MCP) +curl -X POST http://localhost:7071/api/agents/PlantAdvisor/run \ + -H "Content-Type: application/json" \ + -d '{"message": "Recommend an indoor plant"}' +``` + +Note: StockAdvisor does not have HTTP endpoints and is only accessible via MCP tool triggers. + +## Expected Output + +**HTTP Responses** will be returned directly to your HTTP client. + +**MCP Tool Responses** will be visible in: +- The terminal where `func start` is running +- Your MCP client interface +- The DTS dashboard at `http://localhost:8080` (if using Durable Task Scheduler) + +## Health Check + +Check the health endpoint to see which agents have which triggers enabled: + +```bash +curl http://localhost:7071/api/health +``` + +Expected response: + +```json +{ + "status": "healthy", + "agents": [ + { + "name": "Joker", + "type": "Agent", + "httpEndpointEnabled": true, + "mcpToolTriggerEnabled": false + }, + { + "name": "StockAdvisor", + "type": "Agent", + "httpEndpointEnabled": false, + "mcpToolTriggerEnabled": true + }, + { + "name": "PlantAdvisor", + "type": "Agent", + "httpEndpointEnabled": true, + "mcpToolTriggerEnabled": true + } + ], + "agent_count": 3 +} +``` + +## Learn More + +- [Model Context Protocol Documentation](https://modelcontextprotocol.io/) +- [Microsoft Agent Framework Documentation](https://github.com/Azure/agent-framework) +- [Azure Functions Documentation](https://learn.microsoft.com/azure/azure-functions/) Sample (Python) This sample demonstrates how to expose AI agents as MCP (Model Context Protocol) tools using the Durable Extension for Agent Framework. The sample creates a weather agent and exposes it via both standard HTTP endpoints and MCP protocol endpoints for use with MCP-compatible clients like Claude Desktop, Cursor, or VSCode. diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/demo.http b/python/samples/getting_started/azure_functions/08_mcp_server/demo.http deleted file mode 100644 index 6b335cd089..0000000000 --- a/python/samples/getting_started/azure_functions/08_mcp_server/demo.http +++ /dev/null @@ -1,83 +0,0 @@ -### Variables -@baseUrl = http://localhost:7071 - -### Health Check -GET {{baseUrl}}/api/health - -### List MCP Tools -GET {{baseUrl}}/api/mcp/v1/tools - -### Call Agent via Standard HTTP Endpoint -POST {{baseUrl}}/api/agents/WeatherAgent/run -Content-Type: application/json - -{ - "message": "What is the weather in Seattle?" -} - -### Call Agent via MCP Protocol (JSON-RPC) -POST {{baseUrl}}/api/mcp/v1 -Content-Type: application/json - -{ - "jsonrpc": "2.0", - "id": 1, - "method": "tools/call", - "params": { - "name": "WeatherAgent", - "arguments": { - "message": "What is the weather in Seattle?" - } - } -} - -### Call MCP Tool via Direct Endpoint -POST {{baseUrl}}/api/mcp/v1/call -Content-Type: application/json - -{ - "name": "WeatherAgent", - "arguments": { - "message": "What is the weather in Seattle?" - } -} - -### Call Agent with Session Continuity -POST {{baseUrl}}/api/mcp/v1/call -Content-Type: application/json - -{ - "name": "WeatherAgent", - "arguments": { - "message": "What about New York?", - "sessionId": "test-session-123" - } -} - -### MCP JSON-RPC: List Tools -POST {{baseUrl}}/api/mcp/v1 -Content-Type: application/json - -{ - "jsonrpc": "2.0", - "id": 2, - "method": "tools/list", - "params": {} -} - -### MCP JSON-RPC: Call Tool with Session -POST {{baseUrl}}/api/mcp/v1 -Content-Type: application/json - -{ - "jsonrpc": "2.0", - "id": 3, - "method": "tools/call", - "params": { - "name": "WeatherAgent", - "arguments": { - "message": "Compare the weather in Tokyo and Paris", - "sessionId": "multi-city-session" - } - } -} diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py index 93542d82a4..0b157bee56 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py +++ b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py @@ -1,85 +1,64 @@ -"""Expose Azure OpenAI agents as MCP (Model Context Protocol) tools. - -Components used in this sample: -- AzureOpenAIChatClient to create an agent with the Azure OpenAI deployment. -- AgentFunctionApp to expose standard HTTP endpoints via Durable Functions. -- MCPServerExtension to automatically generate MCP-compliant endpoints for agent tools. - -Prerequisites: set `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, plus either -`AZURE_OPENAI_API_KEY` or authenticate with Azure CLI before starting the Functions host.""" - -import logging -from typing import Any - -from agent_framework.azure import AzureOpenAIChatClient -from agent_framework.azurefunctions import AgentFunctionApp -from agent_framework.azurefunctions.mcp import MCPServerExtension - -logger = logging.getLogger(__name__) - - -def get_weather(location: str) -> dict[str, Any]: - """Get current weather for a location.""" - - logger.info(f"🔧 [TOOL CALLED] get_weather(location={location})") - result = { - "location": location, - "temperature": 72, - "conditions": "Sunny", - "humidity": 45, - "wind_speed": 5, - } - logger.info(f"✓ [TOOL RESULT] {result}") - return result - - -# 1. Create the weather agent with a tool function. -def _create_weather_agent() -> Any: - """Create the WeatherAgent with get_weather tool.""" +""" +Example showing how to configure AI agents with different trigger configurations. - return AzureOpenAIChatClient().create_agent( - name="WeatherAgent", - instructions="You are a helpful weather assistant. Use the get_weather tool to provide weather information.", - tools=[get_weather], - ) +This sample demonstrates how to configure agents to be accessible as both HTTP endpoints +and Model Context Protocol (MCP) tools, enabling flexible integration patterns for AI agent +consumption. +Key concepts demonstrated: +- Multi-trigger Agent Configuration: Configure agents to support HTTP triggers, MCP tool triggers, or both +- Microsoft Agent Framework Integration: Use the framework to define AI agents with specific roles +- Flexible Agent Registration: Register agents with customizable trigger configurations -# 2. Register the agent with AgentFunctionApp to expose standard HTTP endpoints. -app = AgentFunctionApp(agents=[_create_weather_agent()], enable_health_check=True) +This sample creates three agents with different trigger configurations: +- Joker: HTTP trigger only (default) +- StockAdvisor: MCP tool trigger only (HTTP disabled) +- PlantAdvisor: Both HTTP and MCP tool triggers enabled -# 3. Enable MCP protocol support with 2 additional lines. -mcp = MCPServerExtension(app) -app.register_mcp_server(mcp) +Required environment variables: +- AZURE_OPENAI_ENDPOINT: Your Azure OpenAI endpoint +- AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: Your Azure OpenAI deployment name +Authentication uses AzureCliCredential (Azure Identity). """ -Expected output when invoking `POST /api/agents/WeatherAgent/run`: -HTTP/1.1 202 Accepted -{ - "status": "accepted", - "response": "Agent request accepted", - "message": "What is the weather in Seattle?", - "conversation_id": "", - "correlation_id": "" -} - -Expected output when invoking `GET /api/mcp/v1/tools`: +from agent_framework.azurefunctions import AgentFunctionApp +from agent_framework.azure import AzureOpenAIChatClient -HTTP/1.1 200 OK -{ - "tools": [ - { - "name": "WeatherAgent", - "description": "You are a helpful weather assistant...", - "inputSchema": { - "type": "object", - "properties": { - "message": {"type": "string"}, - "sessionId": {"type": "string"} - }, - "required": ["message"] - } - } - ] -} -""" +# Create Azure OpenAI Chat Client +# This uses AzureCliCredential for authentication (requires 'az login') +chat_client = AzureOpenAIChatClient() + +# Define three AI agents with different roles +# Agent 1: Joker - HTTP trigger only (default) +agent1 = chat_client.create_agent( + name="Joker", + instructions="You are good at telling jokes.", +) + +# Agent 2: StockAdvisor - MCP tool trigger only +agent2 = chat_client.create_agent( + name="StockAdvisor", + instructions="Check stock prices.", +) + +# Agent 3: PlantAdvisor - Both HTTP and MCP tool triggers +agent3 = chat_client.create_agent( + name="PlantAdvisor", + instructions="Recommend plants.", + description="Get plant recommendations.", +) + +# Create the AgentFunctionApp with selective trigger configuration +app = AgentFunctionApp( + enable_health_check=True, +) + +# Agent 1: HTTP trigger only (default) +app.add_agent(agent1) + +# Agent 2: Disable HTTP trigger, enable MCP tool trigger only +app.add_agent(agent2, enable_http_endpoint=False, enable_mcp_tool_trigger=True) + +# Agent 3: Enable both HTTP and MCP tool triggers +app.add_agent(agent3, enable_http_endpoint=True, enable_mcp_tool_trigger=True) From 304b80965575cddd50aa41a403292f784a38e7ec Mon Sep 17 00:00:00 2001 From: Chris Gillum Date: Mon, 10 Nov 2025 10:25:58 -0800 Subject: [PATCH 10/19] .NET: [Feature Branch] Durable Task extension integration tests (#2017) --- dotnet/agent-framework-dotnet.slnx | 2 + .../AzureFunctions/01_SingleAgent/Program.cs | 2 +- .../02_AgentOrchestration_Chaining/Program.cs | 2 +- .../Program.cs | 2 +- .../Program.cs | 2 +- .../05_AgentOrchestration_HITL/Program.cs | 2 +- .../06_LongRunningTools/Program.cs | 2 +- .../07_AgentAsMcpTool/Program.cs | 2 +- .../Microsoft.Agents.AI.DurableTask/README.md | 2 +- .../README.md | 2 +- .../AgentEntityTests.cs | 74 ++ .../ExternalClientTests.cs | 215 +++++ .../Logging/LogEntry.cs | 48 ++ .../Logging/TestLogger.cs | 50 ++ .../Logging/TestLoggerProvider.cs | 52 ++ ...nts.AI.DurableTask.IntegrationTests.csproj | 23 + .../TestHelper.cs | 138 +++ ...oft.Agents.AI.DurableTask.UnitTests.csproj | 1 + ...ing.AzureFunctions.IntegrationTests.csproj | 19 + .../SamplesValidation.cs | 816 ++++++++++++++++++ 20 files changed, 1447 insertions(+), 9 deletions(-) create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/AgentEntityTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/ExternalClientTests.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/LogEntry.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLogger.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLoggerProvider.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj create mode 100644 dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs create mode 100644 dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj create mode 100644 dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs diff --git a/dotnet/agent-framework-dotnet.slnx b/dotnet/agent-framework-dotnet.slnx index 15b86590df..6138cd60ef 100644 --- a/dotnet/agent-framework-dotnet.slnx +++ b/dotnet/agent-framework-dotnet.slnx @@ -302,6 +302,8 @@ + + diff --git a/dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs b/dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs index ebb5082893..60b3103adc 100644 --- a/dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs +++ b/dotnet/samples/AzureFunctions/01_SingleAgent/Program.cs @@ -16,7 +16,7 @@ ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); // Use Azure Key Credential if provided, otherwise use Azure CLI Credential. -string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); diff --git a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs index 14abd390c9..41f643a763 100644 --- a/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs +++ b/dotnet/samples/AzureFunctions/02_AgentOrchestration_Chaining/Program.cs @@ -16,7 +16,7 @@ ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); // Use Azure Key Credential if provided, otherwise use Azure CLI Credential. -string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); diff --git a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs index e1bd92d3e4..d4d5750df7 100644 --- a/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs +++ b/dotnet/samples/AzureFunctions/03_AgentOrchestration_Concurrency/Program.cs @@ -16,7 +16,7 @@ ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); // Use Azure Key Credential if provided, otherwise use Azure CLI Credential. -string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); diff --git a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs index ac14105737..e63d1a9667 100644 --- a/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs +++ b/dotnet/samples/AzureFunctions/04_AgentOrchestration_Conditionals/Program.cs @@ -16,7 +16,7 @@ ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); // Use Azure Key Credential if provided, otherwise use Azure CLI Credential. -string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); diff --git a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs index 8287ad5f30..457fc4936e 100644 --- a/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs +++ b/dotnet/samples/AzureFunctions/05_AgentOrchestration_HITL/Program.cs @@ -16,7 +16,7 @@ ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); // Use Azure Key Credential if provided, otherwise use Azure CLI Credential. -string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); diff --git a/dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs b/dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs index fe7446c842..657a80d21f 100644 --- a/dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs +++ b/dotnet/samples/AzureFunctions/06_LongRunningTools/Program.cs @@ -20,7 +20,7 @@ ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); // Use Azure Key Credential if provided, otherwise use Azure CLI Credential. -string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); diff --git a/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs index 40dffe21a0..1c55f41f16 100644 --- a/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs +++ b/dotnet/samples/AzureFunctions/07_AgentAsMcpTool/Program.cs @@ -22,7 +22,7 @@ ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set."); // Use Azure Key Credential if provided, otherwise use Azure CLI Credential. -string? azureOpenAiKey = Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); +string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_KEY"); AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey)) : new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential()); diff --git a/dotnet/src/Microsoft.Agents.AI.DurableTask/README.md b/dotnet/src/Microsoft.Agents.AI.DurableTask/README.md index ede4f19051..87e4091126 100644 --- a/dotnet/src/Microsoft.Agents.AI.DurableTask/README.md +++ b/dotnet/src/Microsoft.Agents.AI.DurableTask/README.md @@ -1,6 +1,6 @@ # Microsoft.Agents.AI.DurableTask -The Microsoft Agent Framework provides a programming model for building agents and agent workflows in .NET. This package, the *Durable extensions for the Agent Framework*, extends the Agent Framework programming model with the following capabilities: +The Microsoft Agent Framework provides a programming model for building agents and agent workflows in .NET. This package, the *Durable Task extension for the Agent Framework*, extends the Agent Framework programming model with the following capabilities: - Stateful, durable execution of agents in distributed environments - Automatic conversation history management diff --git a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md index 7536790a97..14bd297387 100644 --- a/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md +++ b/dotnet/src/Microsoft.Agents.AI.Hosting.AzureFunctions/README.md @@ -25,7 +25,7 @@ Or directly in your project file: ## Usage Examples -For a comprehensive tour of all the functionality, concepts, and APIs, check out the [Azure Functions samples](https://github.com/microsoft/agent-framework/tree/main/dotnet/samples/AzureFunctions) in the [Durable extensions for Agent Framework repository](https://github.com/microsoft/agent-framework). +For a comprehensive tour of all the functionality, concepts, and APIs, check out the [Azure Functions samples](https://github.com/microsoft/agent-framework/tree/main/dotnet/samples/AzureFunctions) in the [Durable Task extension for Agent Framework repository](https://github.com/microsoft/agent-framework). ### Hosting single agents diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/AgentEntityTests.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/AgentEntityTests.cs new file mode 100644 index 0000000000..73c230410c --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/AgentEntityTests.cs @@ -0,0 +1,74 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics; +using System.Reflection; +using Microsoft.DurableTask.Client; +using Microsoft.DurableTask.Client.Entities; +using Microsoft.DurableTask.Entities; +using Microsoft.Extensions.Configuration; +using OpenAI; +using Xunit.Abstractions; + +namespace Microsoft.Agents.AI.DurableTask.IntegrationTests; + +/// +/// Tests for scenarios where an external client interacts with Durable Task Agents. +/// +[Collection("Sequential")] +[Trait("Category", "Integration")] +public sealed class AgentEntityTests(ITestOutputHelper outputHelper) : IDisposable +{ + private static readonly TimeSpan s_defaultTimeout = Debugger.IsAttached + ? TimeSpan.FromMinutes(5) + : TimeSpan.FromSeconds(30); + + private static readonly IConfiguration s_configuration = + new ConfigurationBuilder() + .AddUserSecrets(Assembly.GetExecutingAssembly()) + .AddEnvironmentVariables() + .Build(); + + private readonly ITestOutputHelper _outputHelper = outputHelper; + private readonly CancellationTokenSource _cts = new(delay: s_defaultTimeout); + + private CancellationToken TestTimeoutToken => this._cts.Token; + + public void Dispose() => this._cts.Dispose(); + + [Fact] + public async Task EntityNamePrefixAsync() + { + // Setup + AIAgent simpleAgent = TestHelper.GetAzureOpenAIChatClient(s_configuration).CreateAIAgent( + name: "TestAgent", + instructions: "You are a helpful assistant that always responds with a friendly greeting." + ); + + using TestHelper testHelper = TestHelper.Start([simpleAgent], this._outputHelper); + + // A proxy agent is needed to call the hosted test agent + AIAgent simpleAgentProxy = simpleAgent.AsDurableAgentProxy(testHelper.Services); + + AgentThread thread = simpleAgentProxy.GetNewThread(); + + DurableTaskClient client = testHelper.GetClient(); + + AgentSessionId sessionId = thread.GetService(); + EntityInstanceId expectedEntityId = new($"dafx-{simpleAgent.Name}", sessionId.Key); + + EntityMetadata? entity = await client.Entities.GetEntityAsync(expectedEntityId, false, this.TestTimeoutToken); + + Assert.Null(entity); + + // Act: send a prompt to the agent + await simpleAgentProxy.RunAsync( + message: "Hello!", + thread, + cancellationToken: this.TestTimeoutToken); + + // Assert: verify the agent state was stored with the correct entity name prefix + entity = await client.Entities.GetEntityAsync(expectedEntityId, false, this.TestTimeoutToken); + + Assert.NotNull(entity); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/ExternalClientTests.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/ExternalClientTests.cs new file mode 100644 index 0000000000..241e05a843 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/ExternalClientTests.cs @@ -0,0 +1,215 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.ComponentModel; +using System.Diagnostics; +using System.Reflection; +using Microsoft.Agents.AI.DurableTask.IntegrationTests.Logging; +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; +using Microsoft.Extensions.AI; +using Microsoft.Extensions.Configuration; +using OpenAI; +using Xunit.Abstractions; + +namespace Microsoft.Agents.AI.DurableTask.IntegrationTests; + +/// +/// Tests for scenarios where an external client interacts with Durable Task Agents. +/// +[Collection("Sequential")] +[Trait("Category", "Integration")] +public sealed class ExternalClientTests(ITestOutputHelper outputHelper) : IDisposable +{ + private static readonly TimeSpan s_defaultTimeout = Debugger.IsAttached + ? TimeSpan.FromMinutes(5) + : TimeSpan.FromSeconds(30); + + private static readonly IConfiguration s_configuration = + new ConfigurationBuilder() + .AddUserSecrets(Assembly.GetExecutingAssembly()) + .AddEnvironmentVariables() + .Build(); + + private readonly ITestOutputHelper _outputHelper = outputHelper; + private readonly CancellationTokenSource _cts = new(delay: s_defaultTimeout); + + private CancellationToken TestTimeoutToken => this._cts.Token; + + public void Dispose() => this._cts.Dispose(); + + [Fact] + public async Task SimplePromptAsync() + { + // Setup + AIAgent simpleAgent = TestHelper.GetAzureOpenAIChatClient(s_configuration).CreateAIAgent( + instructions: "You are a helpful assistant that always responds with a friendly greeting.", + name: "TestAgent"); + + using TestHelper testHelper = TestHelper.Start([simpleAgent], this._outputHelper); + + // A proxy agent is needed to call the hosted test agent + AIAgent simpleAgentProxy = simpleAgent.AsDurableAgentProxy(testHelper.Services); + + // Act: send a prompt to the agent and wait for a response + AgentThread thread = simpleAgentProxy.GetNewThread(); + await simpleAgentProxy.RunAsync( + message: "Hello!", + thread, + cancellationToken: this.TestTimeoutToken); + + AgentRunResponse response = await simpleAgentProxy.RunAsync( + message: "Repeat what you just said but say it like a pirate", + thread, + cancellationToken: this.TestTimeoutToken); + + // Assert: verify the agent responded appropriately + // We can't predict the exact response, but we can check that there is one response + Assert.NotNull(response); + Assert.NotEmpty(response.Text); + + // Assert: verify the expected log entries were created in the expected category + IReadOnlyCollection logs = testHelper.GetLogs(); + Assert.NotEmpty(logs); + List agentLogs = [.. logs.Where(log => log.Category.Contains(simpleAgent.Name!)).ToList()]; + Assert.NotEmpty(agentLogs); + Assert.Contains(agentLogs, log => log.EventId.Name == "LogAgentRequest" && log.Message.Contains("Hello!")); + Assert.Contains(agentLogs, log => log.EventId.Name == "LogAgentResponse"); + } + + [Fact] + public async Task CallFunctionToolsAsync() + { + int weatherToolInvocationCount = 0; + int packingListToolInvocationCount = 0; + + string GetWeather(string location) + { + weatherToolInvocationCount++; + return $"The weather in {location} is sunny with a high of 75°F and a low of 55°F."; + } + + string SuggestPackingList(string weather, bool isSunny) + { + packingListToolInvocationCount++; + return isSunny ? "Pack sunglasses and sunscreen." : "Pack a raincoat and umbrella."; + } + + AIAgent tripPlanningAgent = TestHelper.GetAzureOpenAIChatClient(s_configuration).CreateAIAgent( + instructions: "You are a trip planning assistant. Use the weather tool and packing list tool as needed.", + name: "TripPlanningAgent", + description: "An agent to help plan your day trips", + tools: [AIFunctionFactory.Create(GetWeather), AIFunctionFactory.Create(SuggestPackingList)] + ); + + using TestHelper testHelper = TestHelper.Start([tripPlanningAgent], this._outputHelper); + AIAgent tripPlanningAgentProxy = tripPlanningAgent.AsDurableAgentProxy(testHelper.Services); + + // Act: send a prompt to the agent + AgentRunResponse response = await tripPlanningAgentProxy.RunAsync( + message: "Help me figure out what to pack for my Seattle trip next Sunday", + cancellationToken: this.TestTimeoutToken); + + // Assert: verify the agent responded appropriately + // We can't predict the exact response, but we can check that there is one response + Assert.NotNull(response); + Assert.NotEmpty(response.Text); + + // Assert: verify the expected log entries were created in the expected category + IReadOnlyCollection logs = testHelper.GetLogs(); + Assert.NotEmpty(logs); + + List agentLogs = [.. logs.Where(log => log.Category.Contains(tripPlanningAgent.Name!)).ToList()]; + Assert.NotEmpty(agentLogs); + Assert.Contains(agentLogs, log => log.EventId.Name == "LogAgentRequest" && log.Message.Contains("Seattle trip")); + Assert.Contains(agentLogs, log => log.EventId.Name == "LogAgentResponse"); + + // Assert: verify the tools were called + Assert.Equal(1, weatherToolInvocationCount); + Assert.Equal(1, packingListToolInvocationCount); + } + + [Fact] + public async Task CallLongRunningFunctionToolsAsync() + { + [Description("Starts a greeting workflow and returns the workflow instance ID")] + string StartWorkflowTool(string name) + { + return DurableAgentContext.Current.ScheduleNewOrchestration(nameof(RunWorkflowAsync), input: name); + } + + [Description("Gets the current status of a previously started workflow. A null response means the workflow has not started yet.")] + static async Task GetWorkflowStatusToolAsync(string instanceId) + { + OrchestrationMetadata? status = await DurableAgentContext.Current.GetOrchestrationStatusAsync( + instanceId, + includeDetails: true); + if (status == null) + { + // If the status is not found, wait a bit before returning null to give the workflow time to start + await Task.Delay(TimeSpan.FromSeconds(1)); + } + + return status; + } + + async Task RunWorkflowAsync(TaskOrchestrationContext context, string name) + { + // 1. Get agent and create a session + DurableAIAgent agent = context.GetAgent("SimpleAgent"); + AgentThread thread = agent.GetNewThread(); + + // 2. Call an agent and tell it my name + await agent.RunAsync($"My name is {name}.", thread); + + // 3. Call the agent again with the same thread (ask it to tell me my name) + AgentRunResponse response = await agent.RunAsync("What is my name?", thread); + + return response.Text; + } + + using TestHelper testHelper = TestHelper.Start( + this._outputHelper, + configureAgents: agents => + { + // This is the agent that will be used to start the workflow + agents.AddAIAgentFactory( + "WorkflowAgent", + sp => TestHelper.GetAzureOpenAIChatClient(s_configuration).CreateAIAgent( + name: "WorkflowAgent", + instructions: "You can start greeting workflows and check their status.", + services: sp, + tools: [ + AIFunctionFactory.Create(StartWorkflowTool), + AIFunctionFactory.Create(GetWorkflowStatusToolAsync) + ])); + + // This is the agent that will be called by the workflow + agents.AddAIAgent(TestHelper.GetAzureOpenAIChatClient(s_configuration).CreateAIAgent( + name: "SimpleAgent", + instructions: "You are a simple assistant." + )); + }, + durableTaskRegistry: registry => registry.AddOrchestratorFunc(nameof(RunWorkflowAsync), RunWorkflowAsync)); + + AIAgent workflowManagerAgentProxy = testHelper.Services.GetDurableAgentProxy("WorkflowAgent"); + + // Act: send a prompt to the agent + AgentThread thread = workflowManagerAgentProxy.GetNewThread(); + await workflowManagerAgentProxy.RunAsync( + message: "Start a greeting workflow for \"John Doe\".", + thread, + cancellationToken: this.TestTimeoutToken); + + // Act: prompt it again to wait for the workflow to complete + AgentRunResponse response = await workflowManagerAgentProxy.RunAsync( + message: "Wait for the workflow to complete and tell me the result.", + thread, + cancellationToken: this.TestTimeoutToken); + + // Assert: verify the agent responded appropriately + // We can't predict the exact response, but we can check that there is one response + Assert.NotNull(response); + Assert.NotEmpty(response.Text); + Assert.Contains("John Doe", response.Text); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/LogEntry.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/LogEntry.cs new file mode 100644 index 0000000000..fa9eddaeb4 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/LogEntry.cs @@ -0,0 +1,48 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Microsoft.Extensions.Logging; + +namespace Microsoft.Agents.AI.DurableTask.IntegrationTests.Logging; + +internal sealed class LogEntry( + string category, + LogLevel level, + EventId eventId, + Exception? exception, + string message, + object? state, + IReadOnlyList> contextProperties) +{ + public string Category { get; } = category; + + public DateTime Timestamp { get; } = DateTime.Now; + + public EventId EventId { get; } = eventId; + + public LogLevel LogLevel { get; } = level; + + public Exception? Exception { get; } = exception; + + public string Message { get; } = message; + + public object? State { get; } = state; + + public IReadOnlyList> ContextProperties { get; } = contextProperties; + + public override string ToString() + { + string properties = this.ContextProperties.Count > 0 + ? $"[{string.Join(", ", this.ContextProperties.Select(kvp => $"{kvp.Key}={kvp.Value}"))}] " + : string.Empty; + + string eventName = this.EventId.Name ?? string.Empty; + string output = $"{this.Timestamp:o} [{this.Category}] {eventName} {properties}{this.Message}"; + + if (this.Exception is not null) + { + output += Environment.NewLine + this.Exception; + } + + return output; + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLogger.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLogger.cs new file mode 100644 index 0000000000..ca80b8cf7b --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLogger.cs @@ -0,0 +1,50 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Collections.Concurrent; +using Microsoft.Extensions.Logging; +using Xunit.Abstractions; + +namespace Microsoft.Agents.AI.DurableTask.IntegrationTests.Logging; + +internal sealed class TestLogger(string category, ITestOutputHelper output) : ILogger +{ + private readonly string _category = category; + private readonly ITestOutputHelper _output = output; + private readonly ConcurrentQueue _entries = new(); + + public IReadOnlyCollection GetLogs() => this._entries; + + public void ClearLogs() => this._entries.Clear(); + + IDisposable? ILogger.BeginScope(TState state) => null; + + bool ILogger.IsEnabled(LogLevel logLevel) => true; + + void ILogger.Log( + LogLevel logLevel, + EventId eventId, + TState state, + Exception? exception, + Func formatter) + { + LogEntry entry = new( + category: this._category, + level: logLevel, + eventId: eventId, + exception: exception, + message: formatter(state, exception), + state: state, + contextProperties: []); + + this._entries.Enqueue(entry); + + try + { + this._output.WriteLine(entry.ToString()); + } + catch (InvalidOperationException) + { + // Expected when tests are shutting down + } + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLoggerProvider.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLoggerProvider.cs new file mode 100644 index 0000000000..7019852e5e --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Logging/TestLoggerProvider.cs @@ -0,0 +1,52 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Collections.Concurrent; +using Microsoft.Extensions.Logging; +using Xunit.Abstractions; + +namespace Microsoft.Agents.AI.DurableTask.IntegrationTests.Logging; + +internal sealed class TestLoggerProvider(ITestOutputHelper output) : ILoggerProvider +{ + private readonly ITestOutputHelper _output = output ?? throw new ArgumentNullException(nameof(output)); + private readonly ConcurrentDictionary _loggers = new(StringComparer.OrdinalIgnoreCase); + + public bool TryGetLogs(string category, out IReadOnlyCollection logs) + { + if (this._loggers.TryGetValue(category, out TestLogger? logger)) + { + logs = logger.GetLogs(); + return true; + } + + logs = []; + return false; + } + + public IReadOnlyCollection GetAllLogs() + { + return this._loggers.Values + .OfType() + .SelectMany(logger => logger.GetLogs()) + .ToList() + .AsReadOnly(); + } + + public void Clear() + { + foreach (TestLogger logger in this._loggers.Values.OfType()) + { + logger.ClearLogs(); + } + } + + ILogger ILoggerProvider.CreateLogger(string categoryName) + { + return this._loggers.GetOrAdd(categoryName, _ => new TestLogger(categoryName, this._output)); + } + + void IDisposable.Dispose() + { + // no-op + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj new file mode 100644 index 0000000000..7150e74bd8 --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/Microsoft.Agents.AI.DurableTask.IntegrationTests.csproj @@ -0,0 +1,23 @@ + + + + $(ProjectsCoreTargetFrameworks) + $(ProjectsDebugCoreTargetFrameworks) + enable + b7762d10-e29b-4bb1-8b74-b6d69a667dd4 + + + + + + + + + + + + + + + + diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs new file mode 100644 index 0000000000..53c00c91ed --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs @@ -0,0 +1,138 @@ +// Copyright (c) Microsoft. All rights reserved. + +using Azure; +using Azure.AI.OpenAI; +using Azure.Identity; +using Microsoft.Agents.AI.DurableTask.IntegrationTests.Logging; +using Microsoft.DurableTask; +using Microsoft.DurableTask.Client; +using Microsoft.DurableTask.Client.AzureManaged; +using Microsoft.DurableTask.Worker; +using Microsoft.DurableTask.Worker.AzureManaged; +using Microsoft.Extensions.Configuration; +using Microsoft.Extensions.DependencyInjection; +using Microsoft.Extensions.Hosting; +using Microsoft.Extensions.Logging; +using OpenAI.Chat; +using Xunit.Abstractions; + +namespace Microsoft.Agents.AI.DurableTask.IntegrationTests; + +internal sealed class TestHelper : IDisposable +{ + private readonly TestLoggerProvider _loggerProvider; + private readonly IHost _host; + private readonly DurableTaskClient _client; + + // The static Start method should be used to create instances of this class. + private TestHelper( + TestLoggerProvider loggerProvider, + IHost host, + DurableTaskClient client) + { + this._loggerProvider = loggerProvider; + this._host = host; + this._client = client; + } + + public IServiceProvider Services => this._host.Services; + + public void Dispose() + { + this._host.Dispose(); + } + + public bool TryGetLogs(string category, out IReadOnlyCollection logs) + => this._loggerProvider.TryGetLogs(category, out logs); + + public static TestHelper Start( + AIAgent[] agents, + ITestOutputHelper outputHelper, + Action? durableTaskRegistry = null) + { + return BuildAndStartTestHelper( + outputHelper, + options => options.AddAIAgents(agents), + durableTaskRegistry); + } + + public static TestHelper Start( + ITestOutputHelper outputHelper, + Action configureAgents, + Action? durableTaskRegistry = null) + { + return BuildAndStartTestHelper( + outputHelper, + configureAgents, + durableTaskRegistry); + } + + public DurableTaskClient GetClient() => this._client; + + private static TestHelper BuildAndStartTestHelper( + ITestOutputHelper outputHelper, + Action configureAgents, + Action? durableTaskRegistry) + { + TestLoggerProvider loggerProvider = new(outputHelper); + + IHost host = Host.CreateDefaultBuilder() + .ConfigureServices((ctx, services) => + { + string dtsConnectionString = GetDurableTaskSchedulerConnectionString(ctx.Configuration); + + // Register durable agents using the caller-supplied registration action and + // apply the default chat client for agents that don't supply one themselves. + services.ConfigureDurableAgents( + options => configureAgents(options), + workerBuilder: builder => + { + builder.UseDurableTaskScheduler(dtsConnectionString); + if (durableTaskRegistry != null) + { + builder.AddTasks(durableTaskRegistry); + } + }, + clientBuilder: builder => builder.UseDurableTaskScheduler(dtsConnectionString)); + }) + .ConfigureLogging((_, logging) => + { + logging.AddProvider(loggerProvider); + logging.SetMinimumLevel(LogLevel.Debug); + }) + .Build(); + host.Start(); + + DurableTaskClient client = host.Services.GetRequiredService(); + return new TestHelper(loggerProvider, host, client); + } + + private static string GetDurableTaskSchedulerConnectionString(IConfiguration configuration) + { + // The default value is for local development using the Durable Task Scheduler emulator. + return configuration["DURABLE_TASK_SCHEDULER_CONNECTION_STRING"] + ?? "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None"; + } + + internal static ChatClient GetAzureOpenAIChatClient(IConfiguration configuration) + { + string azureOpenAiEndpoint = configuration["AZURE_OPENAI_ENDPOINT"] + ?? throw new InvalidOperationException("The required AZURE_OPENAI_ENDPOINT env variable is not set."); + string azureOpenAiDeploymentName = configuration["AZURE_OPENAI_DEPLOYMENT"] + ?? throw new InvalidOperationException("The required AZURE_OPENAI_DEPLOYMENT env variable is not set."); + + // Check if AZURE_OPENAI_KEY is provided for token-based authentication + string? azureOpenAiKey = configuration["AZURE_OPENAI_KEY"]; + + AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey) + ? new AzureOpenAIClient(new Uri(azureOpenAiEndpoint), new AzureKeyCredential(azureOpenAiKey)) + : new AzureOpenAIClient(new Uri(azureOpenAiEndpoint), new AzureCliCredential()); + + return client.GetChatClient(azureOpenAiDeploymentName); + } + + internal IReadOnlyCollection GetLogs() + { + return this._loggerProvider.GetAllLogs(); + } +} diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj index 02ed1b58e7..b413733f2b 100644 --- a/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.UnitTests/Microsoft.Agents.AI.DurableTask.UnitTests.csproj @@ -4,6 +4,7 @@ $(ProjectsCoreTargetFrameworks) $(ProjectsDebugCoreTargetFrameworks) enable + b7762d10-e29b-4bb1-8b74-b6d69a667dd4 diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj new file mode 100644 index 0000000000..ae816efb7f --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests.csproj @@ -0,0 +1,19 @@ + + + + $(ProjectsCoreTargetFrameworks) + $(ProjectsDebugCoreTargetFrameworks) + enable + b7762d10-e29b-4bb1-8b74-b6d69a667dd4 + + + + + + + + + + + + diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs new file mode 100644 index 0000000000..9572b097ae --- /dev/null +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs @@ -0,0 +1,816 @@ +// Copyright (c) Microsoft. All rights reserved. + +using System.Diagnostics; +using System.Reflection; +using System.Text; +using System.Text.Json; +using Microsoft.Extensions.Configuration; +using Microsoft.Extensions.Logging; +using ModelContextProtocol.Client; +using ModelContextProtocol.Protocol; +using Xunit.Abstractions; + +namespace Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests; + +[Collection("Samples")] +[Trait("Category", "SampleValidation")] +public sealed class SamplesValidation(ITestOutputHelper outputHelper) : IAsyncLifetime +{ + private const string AzureFunctionsPort = "7071"; + private const string AzuritePort = "10000"; + private const string DtsPort = "8080"; + + private static readonly string s_dotnetTargetFramework = GetTargetFramework(); + private static readonly HttpClient s_sharedHttpClient = new(); + private static readonly IConfiguration s_configuration = + new ConfigurationBuilder() + .AddUserSecrets(Assembly.GetExecutingAssembly()) + .AddEnvironmentVariables() + .Build(); + + private static bool s_infrastructureStarted; + private static readonly TimeSpan s_orchestrationTimeout = TimeSpan.FromMinutes(1); + private static readonly string s_samplesPath = Path.GetFullPath( + Path.Combine(AppDomain.CurrentDomain.BaseDirectory, "..", "..", "..", "..", "..", "samples", "AzureFunctions")); + + private readonly ITestOutputHelper _outputHelper = outputHelper; + + async Task IAsyncLifetime.InitializeAsync() + { + if (!s_infrastructureStarted) + { + await this.StartSharedInfrastructureAsync(); + s_infrastructureStarted = true; + } + } + + async Task IAsyncLifetime.DisposeAsync() + { + // Nothing to clean up + await Task.CompletedTask; + } + + [Fact] + public async Task SingleAgentSampleValidationAsync() + { + string samplePath = Path.Combine(s_samplesPath, "01_SingleAgent"); + await this.RunSampleTestAsync(samplePath, async (logs) => + { + Uri startUri = new($"http://localhost:{AzureFunctionsPort}/api/agents/Joker/run"); + this._outputHelper.WriteLine($"Starting single agent orchestration via POST request to {startUri}..."); + + // Test the agent endpoint as described in the README + const string RequestBody = "Tell me a joke about a pirate."; + using HttpContent content = new StringContent(RequestBody, Encoding.UTF8, "text/plain"); + + using HttpResponseMessage response = await s_sharedHttpClient.PostAsync(startUri, content); + + // The response is expected to be a plain text response with the agent's reply (the joke) + Assert.True(response.IsSuccessStatusCode, $"Agent request failed with status: {response.StatusCode}"); + Assert.Equal("text/plain", response.Content.Headers.ContentType?.MediaType); + string responseText = await response.Content.ReadAsStringAsync(); + Assert.NotEmpty(responseText); + this._outputHelper.WriteLine($"Agent run response: {responseText}"); + + // The response headers should include the agent thread ID, which can be used to continue the conversation. + string? threadId = response.Headers.GetValues("X-Agent-Thread")?.FirstOrDefault(); + Assert.NotNull(threadId); + + this._outputHelper.WriteLine($"Agent thread ID: {threadId}"); + Assert.StartsWith("@dafx-joker@", threadId); + + // Wait for up to 30 seconds to see if the agent response is available in the logs + await this.WaitForConditionAsync( + condition: () => + { + lock (logs) + { + bool exists = logs.Any( + log => log.Message.Contains("Response:") && log.Message.Contains(threadId)); + return Task.FromResult(exists); + } + }, + message: "Agent response is available", + timeout: TimeSpan.FromSeconds(30)); + }); + } + + [Fact] + public async Task SingleAgentOrchestrationChainingSampleValidationAsync() + { + string samplePath = Path.Combine(s_samplesPath, "02_AgentOrchestration_Chaining"); + await this.RunSampleTestAsync(samplePath, async (logs) => + { + Uri startUri = new($"http://localhost:{AzureFunctionsPort}/api/singleagent/run"); + this._outputHelper.WriteLine($"Starting single agent orchestration via POST request to {startUri}..."); + + // Start the orchestration + using HttpResponseMessage startResponse = await s_sharedHttpClient.PostAsync(startUri, content: null); + + Assert.True( + startResponse.IsSuccessStatusCode, + $"Start orchestration failed with status: {startResponse.StatusCode}"); + string startResponseText = await startResponse.Content.ReadAsStringAsync(); + JsonElement startResult = JsonSerializer.Deserialize(startResponseText); + + Assert.True(startResult.TryGetProperty("statusQueryGetUri", out JsonElement statusUriElement)); + Uri statusUri = new(statusUriElement.GetString()!); + + // Wait for orchestration to complete + await this.WaitForOrchestrationCompletionAsync(statusUri); + + // Verify the final result + using HttpResponseMessage statusResponse = await s_sharedHttpClient.GetAsync(statusUri); + Assert.True( + statusResponse.IsSuccessStatusCode, + $"Status check failed with status: {statusResponse.StatusCode}"); + + string statusText = await statusResponse.Content.ReadAsStringAsync(); + JsonElement statusResult = JsonSerializer.Deserialize(statusText); + + Assert.Equal("Completed", statusResult.GetProperty("runtimeStatus").GetString()); + Assert.True(statusResult.TryGetProperty("output", out JsonElement outputElement)); + string? output = outputElement.GetString(); + + // Can't really validate the output since it's non-deterministic, but we can at least check it's non-empty + Assert.NotNull(output); + Assert.True(output.Length > 20, "Output is unexpectedly short"); + }); + } + + [Fact] + public async Task MultiAgentOrchestrationConcurrentSampleValidationAsync() + { + string samplePath = Path.Combine(s_samplesPath, "03_AgentOrchestration_Concurrency"); + await this.RunSampleTestAsync(samplePath, async (logs) => + { + // Start the multi-agent orchestration + const string RequestBody = "What is temperature?"; + using HttpContent content = new StringContent(RequestBody, Encoding.UTF8, "text/plain"); + + Uri startUri = new($"http://localhost:{AzureFunctionsPort}/api/multiagent/run"); + this._outputHelper.WriteLine($"Starting multi agent orchestration via POST request to {startUri}..."); + using HttpResponseMessage startResponse = await s_sharedHttpClient.PostAsync(startUri, content); + + Assert.True(startResponse.IsSuccessStatusCode, $"Start orchestration failed with status: {startResponse.StatusCode}"); + string startResponseText = await startResponse.Content.ReadAsStringAsync(); + JsonElement startResult = JsonSerializer.Deserialize(startResponseText); + + Assert.True(startResult.TryGetProperty("instanceId", out JsonElement instanceIdElement)); + Assert.True(startResult.TryGetProperty("statusQueryGetUri", out JsonElement statusUriElement)); + + Uri statusUri = new(statusUriElement.GetString()!); + + // Wait for orchestration to complete + await this.WaitForOrchestrationCompletionAsync(statusUri); + + // Verify the final result + using HttpResponseMessage statusResponse = await s_sharedHttpClient.GetAsync(statusUri); + Assert.True(statusResponse.IsSuccessStatusCode, $"Status check failed with status: {statusResponse.StatusCode}"); + + string statusText = await statusResponse.Content.ReadAsStringAsync(); + JsonElement statusResult = JsonSerializer.Deserialize(statusText); + + Assert.Equal("Completed", statusResult.GetProperty("runtimeStatus").GetString()); + Assert.True(statusResult.TryGetProperty("output", out JsonElement outputElement)); + + // Verify both physicist and chemist responses are present + Assert.True(outputElement.TryGetProperty("physicist", out JsonElement physicistElement)); + Assert.True(outputElement.TryGetProperty("chemist", out JsonElement chemistElement)); + + string physicistResponse = physicistElement.GetString()!; + string chemistResponse = chemistElement.GetString()!; + + Assert.NotEmpty(physicistResponse); + Assert.NotEmpty(chemistResponse); + Assert.Contains("temperature", physicistResponse, StringComparison.OrdinalIgnoreCase); + Assert.Contains("temperature", chemistResponse, StringComparison.OrdinalIgnoreCase); + }); + } + + [Fact] + public async Task MultiAgentOrchestrationConditionalsSampleValidationAsync() + { + string samplePath = Path.Combine(s_samplesPath, "04_AgentOrchestration_Conditionals"); + await this.RunSampleTestAsync(samplePath, async (logs) => + { + // Test with legitimate email + await this.TestSpamDetectionAsync("email-001", + "Hi John, I hope you're doing well. I wanted to follow up on our meeting yesterday about the quarterly report. Could you please send me the updated figures by Friday? Thanks!", + expectedSpam: false); + + // Test with spam email + await this.TestSpamDetectionAsync("email-002", + "URGENT! You've won $1,000,000! Click here now to claim your prize! Limited time offer! Don't miss out!", + expectedSpam: true); + }); + } + + [Fact] + public async Task SingleAgentOrchestrationHITLSampleValidationAsync() + { + string samplePath = Path.Combine(s_samplesPath, "05_AgentOrchestration_HITL"); + + await this.RunSampleTestAsync(samplePath, async (logs) => + { + // Start the HITL orchestration with short timeout for testing + // TODO: Add validation for the approval case + object requestBody = new + { + topic = "The Future of Artificial Intelligence", + max_review_attempts = 3, + approval_timeout_hours = 0.001 // Very short timeout for testing + }; + + string jsonContent = JsonSerializer.Serialize(requestBody); + using HttpContent content = new StringContent(jsonContent, Encoding.UTF8, "application/json"); + + Uri startUri = new($"http://localhost:{AzureFunctionsPort}/api/hitl/run"); + this._outputHelper.WriteLine($"Starting HITL orchestration via POST request to {startUri}..."); + using HttpResponseMessage startResponse = await s_sharedHttpClient.PostAsync(startUri, content); + + Assert.True( + startResponse.IsSuccessStatusCode, + $"Start HITL orchestration failed with status: {startResponse.StatusCode}"); + string startResponseText = await startResponse.Content.ReadAsStringAsync(); + JsonElement startResult = JsonSerializer.Deserialize(startResponseText); + + Assert.True(startResult.TryGetProperty("statusQueryGetUri", out JsonElement statusUriElement)); + Uri statusUri = new(statusUriElement.GetString()!); + + // Wait for orchestration to complete (it should timeout due to short timeout) + await this.WaitForOrchestrationCompletionAsync(statusUri); + + // Verify the final result + using HttpResponseMessage statusResponse = await s_sharedHttpClient.GetAsync(statusUri); + Assert.True( + statusResponse.IsSuccessStatusCode, + $"Status check failed with status: {statusResponse.StatusCode}"); + + string statusText = await statusResponse.Content.ReadAsStringAsync(); + this._outputHelper.WriteLine($"HITL orchestration status text: {statusText}"); + + JsonElement statusResult = JsonSerializer.Deserialize(statusText); + + // The orchestration should complete with a failed status due to timeout + Assert.Equal("Failed", statusResult.GetProperty("runtimeStatus").GetString()); + Assert.True(statusResult.TryGetProperty("failureDetails", out JsonElement failureDetailsElement)); + Assert.True(failureDetailsElement.TryGetProperty("ErrorType", out JsonElement errorTypeElement)); + Assert.Equal("System.TimeoutException", errorTypeElement.GetString()); + Assert.True(failureDetailsElement.TryGetProperty("ErrorMessage", out JsonElement errorMessageElement)); + Assert.StartsWith("Human approval timed out", errorMessageElement.GetString()); + }); + } + + [Fact] + public async Task LongRunningToolsSampleValidationAsync() + { + string samplePath = Path.Combine(s_samplesPath, "06_LongRunningTools"); + + await this.RunSampleTestAsync(samplePath, async (logs) => + { + // Test starting an agent that schedules a content generation orchestration + const string Prompt = "Start a content generation workflow for the topic 'The Future of Artificial Intelligence'"; + using HttpContent messageContent = new StringContent(Prompt, Encoding.UTF8, "text/plain"); + + Uri runAgentUri = new($"http://localhost:{AzureFunctionsPort}/api/agents/publisher/run"); + + this._outputHelper.WriteLine($"Starting agent tool orchestration via POST request to {runAgentUri}..."); + using HttpResponseMessage startResponse = await s_sharedHttpClient.PostAsync(runAgentUri, messageContent); + + Assert.True( + startResponse.IsSuccessStatusCode, + $"Start agent request failed with status: {startResponse.StatusCode}"); + + string startResponseText = await startResponse.Content.ReadAsStringAsync(); + this._outputHelper.WriteLine($"Agent response: {startResponseText}"); + + // The response should be deserializable as an AgentRunResponse object and have a valid thread ID + startResponse.Headers.TryGetValues("X-Agent-Thread", out IEnumerable? agentIdValues); + string? threadId = agentIdValues?.FirstOrDefault(); + Assert.NotNull(threadId); + Assert.StartsWith("@dafx-publisher@", threadId); + + // Wait for the orchestration to report that it's waiting for human approval + await this.WaitForConditionAsync( + condition: () => + { + // For now, we have to rely on the logs to check for the "NOTIFICATION" message that gets generated by the activity function. + // TODO: Synchronously prompt the agent for status + lock (logs) + { + bool exists = logs.Any(log => log.Message.Contains("NOTIFICATION: Please review the following content for approval")); + return Task.FromResult(exists); + } + }, + message: "Orchestration is requesting human feedback", + timeout: TimeSpan.FromSeconds(60)); + + // Approve the content + Uri approvalUri = new($"{runAgentUri}?threadId={threadId}"); + using HttpContent approvalContent = new StringContent("Approve the content", Encoding.UTF8, "text/plain"); + using HttpResponseMessage approvalResponse = await s_sharedHttpClient.PostAsync(approvalUri, approvalContent); + Assert.True(approvalResponse.IsSuccessStatusCode, $"Approve content request failed with status: {approvalResponse.StatusCode}"); + + // Wait for the publish notification to be logged + await this.WaitForConditionAsync( + condition: () => + { + lock (logs) + { + // TODO: Synchronously prompt the agent for status + bool exists = logs.Any(log => log.Message.Contains("PUBLISHING: Content has been published successfully")); + return Task.FromResult(exists); + } + }, + message: "Content published notification is logged", + timeout: TimeSpan.FromSeconds(60)); + + // Verify the final orchestration status by asking the agent for the status + Uri statusUri = new($"{runAgentUri}?threadId={threadId}"); + await this.WaitForConditionAsync( + condition: async () => + { + this._outputHelper.WriteLine($"Checking status of orchestration at {statusUri}..."); + + using StringContent content = new("Get the status of the workflow", Encoding.UTF8, "text/plain"); + using HttpResponseMessage statusResponse = await s_sharedHttpClient.PostAsync(statusUri, content); + Assert.True( + statusResponse.IsSuccessStatusCode, + $"Status check failed with status: {statusResponse.StatusCode}"); + string statusText = await statusResponse.Content.ReadAsStringAsync(); + this._outputHelper.WriteLine($"Status text: {statusText}"); + + bool isCompleted = statusText.Contains("Completed", StringComparison.OrdinalIgnoreCase); + bool hasContent = statusText.Contains( + "The Future of Artificial Intelligence", + StringComparison.OrdinalIgnoreCase); + return isCompleted && hasContent; + }, + message: "Orchestration is completed", + timeout: TimeSpan.FromSeconds(60)); + }); + } + + [Fact] + public async Task AgentAsMcpToolAsync() + { + string samplePath = Path.Combine(s_samplesPath, "07_AgentAsMcpTool"); + await this.RunSampleTestAsync(samplePath, async (logs) => + { + IClientTransport clientTransport = new HttpClientTransport(new() + { + Endpoint = new Uri($"http://localhost:{AzureFunctionsPort}/runtime/webhooks/mcp") + }); + + await using McpClient mcpClient = await McpClient.CreateAsync(clientTransport!); + + // Ensure the expected tools are present. + IList tools = await mcpClient.ListToolsAsync(); + + Assert.Single(tools, t => t.Name == "StockAdvisor"); + Assert.Single(tools, t => t.Name == "PlantAdvisor"); + + // Invoke the tools to verify they work as expected. + string stockPriceResponse = await this.InvokeMcpToolAsync(mcpClient, "StockAdvisor", "MSFT ATH"); + string plantSuggestionResponse = await this.InvokeMcpToolAsync(mcpClient, "PlantAdvisor", "Low light plant"); + Assert.NotEmpty(stockPriceResponse); + Assert.NotEmpty(plantSuggestionResponse); + + // Wait for up to 30 seconds to see if the agent responses are available in the logs + await this.WaitForConditionAsync( + condition: () => + { + lock (logs) + { + bool expectedLogsPresent = logs.Count(log => log.Message.Contains("Response:")) >= 2; + return Task.FromResult(expectedLogsPresent); + } + }, + message: "Agent response is available", + timeout: TimeSpan.FromSeconds(30)); + }); + } + + private async Task InvokeMcpToolAsync(McpClient mcpClient, string toolName, string query) + { + this._outputHelper.WriteLine($"Invoking MCP tool '{toolName}'..."); + + CallToolResult result = await mcpClient.CallToolAsync( + toolName, + arguments: new Dictionary { { "query", query } }); + + string toolCallResult = ((TextContentBlock)result.Content[0]).Text; + this._outputHelper.WriteLine($"MCP tool '{toolName}' response: {toolCallResult}"); + + return toolCallResult; + } + + private async Task TestSpamDetectionAsync(string emailId, string emailContent, bool expectedSpam) + { + object requestBody = new + { + email_id = emailId, + email_content = emailContent + }; + + string jsonContent = JsonSerializer.Serialize(requestBody); + using HttpContent content = new StringContent(jsonContent, Encoding.UTF8, "application/json"); + + Uri startUri = new($"http://localhost:{AzureFunctionsPort}/api/spamdetection/run"); + this._outputHelper.WriteLine($"Starting spam detection orchestration via POST request to {startUri}..."); + using HttpResponseMessage startResponse = await s_sharedHttpClient.PostAsync(startUri, content); + + Assert.True(startResponse.IsSuccessStatusCode, $"Start orchestration failed with status: {startResponse.StatusCode}"); + string startResponseText = await startResponse.Content.ReadAsStringAsync(); + JsonElement startResult = JsonSerializer.Deserialize(startResponseText); + + Assert.True(startResult.TryGetProperty("statusQueryGetUri", out JsonElement statusUriElement)); + Uri statusUri = new(statusUriElement.GetString()!); + + // Wait for orchestration to complete + await this.WaitForOrchestrationCompletionAsync(statusUri); + + // Verify the final result + using HttpResponseMessage statusResponse = await s_sharedHttpClient.GetAsync(statusUri); + Assert.True(statusResponse.IsSuccessStatusCode, $"Status check failed with status: {statusResponse.StatusCode}"); + + string statusText = await statusResponse.Content.ReadAsStringAsync(); + JsonElement statusResult = JsonSerializer.Deserialize(statusText); + + Assert.Equal("Completed", statusResult.GetProperty("runtimeStatus").GetString()); + Assert.True(statusResult.TryGetProperty("output", out JsonElement outputElement)); + + string output = outputElement.GetString()!; + Assert.NotEmpty(output); + + if (expectedSpam) + { + Assert.Contains("spam", output, StringComparison.OrdinalIgnoreCase); + } + else + { + Assert.Contains("sent", output, StringComparison.OrdinalIgnoreCase); + } + } + + private async Task StartSharedInfrastructureAsync() + { + // Start Azurite if it's not already running + if (!await this.IsAzuriteRunningAsync()) + { + await this.StartDockerContainerAsync( + containerName: "azurite", + image: "mcr.microsoft.com/azure-storage/azurite", + ports: ["-p", "10000:10000", "-p", "10001:10001", "-p", "10002:10002"]); + + // Wait for Azurite + await this.WaitForConditionAsync(this.IsAzuriteRunningAsync, "Azurite is running", TimeSpan.FromSeconds(30)); + } + + // Start DTS emulator if it's not already running + if (!await this.IsDtsEmulatorRunningAsync()) + { + await this.StartDockerContainerAsync( + containerName: "dts-emulator", + image: "mcr.microsoft.com/dts/dts-emulator:latest", + ports: ["-p", "8080:8080", "-p", "8082:8082"]); + + // Wait for DTS emulator + await this.WaitForConditionAsync( + condition: this.IsDtsEmulatorRunningAsync, + message: "DTS emulator is running", + timeout: TimeSpan.FromSeconds(30)); + } + } + + private async Task IsAzuriteRunningAsync() + { + this._outputHelper.WriteLine( + $"Checking if Azurite is running at http://localhost:{AzuritePort}/devstoreaccount1..."); + + try + { + using CancellationTokenSource timeoutCts = new(TimeSpan.FromSeconds(30)); + + // Example output when pinging Azurite: + // $ curl -i http://localhost:10000/devstoreaccount1?comp=list + // HTTP/1.1 403 Server failed to authenticate the request. + // Server: Azurite-Blob/3.34.0 + // x-ms-error-code: AuthorizationFailure + // x-ms-request-id: 6cd21522-bb0f-40f6-962c-fa174f17aa30 + // content-type: application/xml + // Date: Mon, 20 Oct 2025 23:52:02 GMT + // Connection: keep-alive + // Keep-Alive: timeout=5 + // Transfer-Encoding: chunked + using HttpResponseMessage response = await s_sharedHttpClient.GetAsync( + requestUri: new Uri($"http://localhost:{AzuritePort}/devstoreaccount1?comp=list"), + cancellationToken: timeoutCts.Token); + if (response.Headers.TryGetValues( + "Server", + out IEnumerable? serverValues) && serverValues.Any(s => s.StartsWith("Azurite", StringComparison.OrdinalIgnoreCase))) + { + this._outputHelper.WriteLine($"Azurite is running, server: {string.Join(", ", serverValues)}"); + return true; + } + + this._outputHelper.WriteLine($"Azurite is not running. Status code: {response.StatusCode}"); + return false; + } + catch (HttpRequestException ex) + { + this._outputHelper.WriteLine($"Azurite is not running: {ex.Message}"); + return false; + } + } + + private async Task IsDtsEmulatorRunningAsync() + { + this._outputHelper.WriteLine($"Checking if DTS emulator is running at http://localhost:{DtsPort}/healthz..."); + + // DTS emulator doesn't support HTTP/1.1, so we need to use HTTP/2.0 + using HttpClient http2Client = new() + { + DefaultRequestVersion = new Version(2, 0), + DefaultVersionPolicy = HttpVersionPolicy.RequestVersionExact + }; + + try + { + using CancellationTokenSource timeoutCts = new(TimeSpan.FromSeconds(30)); + using HttpResponseMessage response = await http2Client.GetAsync(new Uri($"http://localhost:{DtsPort}/healthz"), timeoutCts.Token); + if (response.Content.Headers.ContentLength > 0) + { + string content = await response.Content.ReadAsStringAsync(timeoutCts.Token); + this._outputHelper.WriteLine($"DTS emulator health check response: {content}"); + } + + if (response.IsSuccessStatusCode) + { + this._outputHelper.WriteLine("DTS emulator is running"); + return true; + } + + this._outputHelper.WriteLine($"DTS emulator is not running. Status code: {response.StatusCode}"); + return false; + } + catch (HttpRequestException ex) + { + this._outputHelper.WriteLine($"DTS emulator is not running: {ex.Message}"); + return false; + } + } + + private async Task StartDockerContainerAsync(string containerName, string image, string[] ports) + { + // Stop existing container if it exists + await this.RunCommandAsync("docker", ["stop", containerName]); + await this.RunCommandAsync("docker", ["rm", containerName]); + + // Start new container + List args = ["run", "-d", "--name", containerName]; + args.AddRange(ports); + args.Add(image); + + this._outputHelper.WriteLine( + $"Starting new container: {containerName} with image: {image} and ports: {string.Join(", ", ports)}"); + await this.RunCommandAsync("docker", args.ToArray()); + this._outputHelper.WriteLine($"Container started: {containerName}"); + } + + private async Task WaitForConditionAsync(Func> condition, string message, TimeSpan timeout) + { + this._outputHelper.WriteLine($"Waiting for '{message}'..."); + + using CancellationTokenSource cancellationTokenSource = new(timeout); + while (true) + { + if (await condition()) + { + return; + } + + try + { + await Task.Delay(TimeSpan.FromSeconds(1), cancellationTokenSource.Token); + } + catch (OperationCanceledException) when (cancellationTokenSource.IsCancellationRequested) + { + throw new TimeoutException($"Timeout waiting for '{message}'"); + } + } + } + + private async Task RunSampleTestAsync(string samplePath, Func, Task> testAction) + { + // Start the Azure Functions app + List logsContainer = []; + using Process funcProcess = this.StartFunctionApp(samplePath, logsContainer); + try + { + // Wait for the app to be ready + await this.WaitForAzureFunctionsAsync(); + + // Run the test + await testAction(logsContainer); + } + finally + { + await this.StopProcessAsync(funcProcess); + } + } + + private sealed record OutputLog(DateTime Timestamp, LogLevel Level, string Message); + + private Process StartFunctionApp(string samplePath, List logs) + { + ProcessStartInfo startInfo = new() + { + FileName = "dotnet", + Arguments = $"run -f {s_dotnetTargetFramework} --port {AzureFunctionsPort}", + WorkingDirectory = samplePath, + UseShellExecute = false, + RedirectStandardOutput = true, + RedirectStandardError = true, + }; + + string openAiEndpoint = s_configuration["AZURE_OPENAI_ENDPOINT"] + ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set in the environment variables or user secrets"); + string openAiDeployment = s_configuration["AZURE_OPENAI_DEPLOYMENT"] + ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set in the environment variables or user secrets"); + + // Set required environment variables for the function app (see local.settings.json for required settings) + startInfo.EnvironmentVariables["AZURE_OPENAI_ENDPOINT"] = openAiEndpoint; + startInfo.EnvironmentVariables["AZURE_OPENAI_DEPLOYMENT"] = openAiDeployment; + startInfo.EnvironmentVariables["DURABLE_TASK_SCHEDULER_CONNECTION_STRING"] = + $"Endpoint=http://localhost:{DtsPort};TaskHub=default;Authentication=None"; + startInfo.EnvironmentVariables["AzureWebJobsStorage"] = "UseDevelopmentStorage=true"; + + Process process = new() { StartInfo = startInfo }; + + // Capture the output and error streams + process.ErrorDataReceived += (sender, e) => + { + if (e.Data != null) + { + this._outputHelper.WriteLine($"[{startInfo.FileName}(err)]: {e.Data}"); + lock (logs) + { + logs.Add(new OutputLog(DateTime.Now, LogLevel.Error, e.Data)); + } + } + }; + + process.OutputDataReceived += (sender, e) => + { + if (e.Data != null) + { + this._outputHelper.WriteLine($"[{startInfo.FileName}(out)]: {e.Data}"); + lock (logs) + { + logs.Add(new OutputLog(DateTime.Now, LogLevel.Information, e.Data)); + } + } + }; + + if (!process.Start()) + { + throw new InvalidOperationException("Failed to start the function app"); + } + + process.BeginErrorReadLine(); + process.BeginOutputReadLine(); + + return process; + } + + private async Task WaitForAzureFunctionsAsync() + { + this._outputHelper.WriteLine( + $"Waiting for Azure Functions Core Tools to be ready at http://localhost:{AzureFunctionsPort}/..."); + await this.WaitForConditionAsync( + condition: async () => + { + try + { + using HttpRequestMessage request = new(HttpMethod.Head, $"http://localhost:{AzureFunctionsPort}/"); + using HttpResponseMessage response = await s_sharedHttpClient.SendAsync(request); + this._outputHelper.WriteLine($"Azure Functions Core Tools response: {response.StatusCode}"); + return response.IsSuccessStatusCode; + } + catch (HttpRequestException) + { + // Expected when the app isn't yet ready + return false; + } + }, + message: "Azure Functions Core Tools is ready", + timeout: TimeSpan.FromSeconds(60)); + } + + private async Task WaitForOrchestrationCompletionAsync(Uri statusUri) + { + using CancellationTokenSource timeoutCts = new(s_orchestrationTimeout); + while (true) + { + try + { + using HttpResponseMessage response = await s_sharedHttpClient.GetAsync( + statusUri, + timeoutCts.Token); + if (response.IsSuccessStatusCode) + { + string responseText = await response.Content.ReadAsStringAsync(timeoutCts.Token); + JsonElement result = JsonSerializer.Deserialize(responseText); + + if (result.TryGetProperty("runtimeStatus", out JsonElement statusElement)) + { + string status = statusElement.GetString()!; + if (status == "Completed" || status == "Failed" || status == "Terminated") + { + return; + } + } + } + } + catch (Exception ex) when (!timeoutCts.Token.IsCancellationRequested) + { + // Ignore errors and retry + this._outputHelper.WriteLine($"Error waiting for orchestration completion: {ex}"); + } + + await Task.Delay(TimeSpan.FromSeconds(1), timeoutCts.Token); + } + } + + private async Task RunCommandAsync(string command, string[] args) + { + await this.RunCommandAsync(command, workingDirectory: null, args: args); + } + + private async Task RunCommandAsync(string command, string? workingDirectory, string[] args) + { + ProcessStartInfo startInfo = new() + { + FileName = command, + Arguments = string.Join(" ", args), + WorkingDirectory = workingDirectory, + UseShellExecute = false, + RedirectStandardOutput = true, + RedirectStandardError = true, + CreateNoWindow = true + }; + + this._outputHelper.WriteLine($"Running command: {command} {string.Join(" ", args)}"); + + using Process process = new() { StartInfo = startInfo }; + process.ErrorDataReceived += (sender, e) => this._outputHelper.WriteLine($"[{command}(err)]: {e.Data}"); + process.OutputDataReceived += (sender, e) => this._outputHelper.WriteLine($"[{command}(out)]: {e.Data}"); + if (!process.Start()) + { + throw new InvalidOperationException("Failed to start the command"); + } + process.BeginErrorReadLine(); + process.BeginOutputReadLine(); + + using CancellationTokenSource cancellationTokenSource = new(TimeSpan.FromMinutes(1)); + await process.WaitForExitAsync(cancellationTokenSource.Token); + + this._outputHelper.WriteLine($"Command completed with exit code: {process.ExitCode}"); + } + + private async Task StopProcessAsync(Process process) + { + try + { + if (!process.HasExited) + { + this._outputHelper.WriteLine($"Killing process {process.ProcessName}#{process.Id}"); + process.Kill(entireProcessTree: true); + + using CancellationTokenSource timeoutCts = new(TimeSpan.FromSeconds(10)); + await process.WaitForExitAsync(timeoutCts.Token); + this._outputHelper.WriteLine($"Process exited: {process.Id}"); + } + } + catch (Exception ex) + { + this._outputHelper.WriteLine($"Failed to stop process: {ex.Message}"); + } + } + + private static string GetTargetFramework() + { + // Get the target framework by looking at the path of the current file. It should be something like /path/to/project/bin/Debug/net8.0/... + string filePath = new Uri(typeof(SamplesValidation).Assembly.Location).LocalPath; + string directory = Path.GetDirectoryName(filePath)!; + string tfm = Path.GetFileName(directory); + if (tfm.StartsWith("net", StringComparison.OrdinalIgnoreCase)) + { + return tfm; + } + + throw new InvalidOperationException($"Unable to find target framework in path: {filePath}"); + } +} From 916b51fe1a40ef043832e9b9f4a1ce52d6e383db Mon Sep 17 00:00:00 2001 From: Chris Gillum Date: Mon, 10 Nov 2025 15:56:42 -0800 Subject: [PATCH 11/19] .NET: [Feature Branch] Update OpenAI config for integration tests (#2063) --- .../TestHelper.cs | 12 ++++++++---- .../SamplesValidation.cs | 12 ++++++++---- schemas/durable-agent-entity-state.json | 5 ++--- 3 files changed, 18 insertions(+), 11 deletions(-) diff --git a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs index 53c00c91ed..75af1e82ac 100644 --- a/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs +++ b/dotnet/tests/Microsoft.Agents.AI.DurableTask.IntegrationTests/TestHelper.cs @@ -116,10 +116,14 @@ private static string GetDurableTaskSchedulerConnectionString(IConfiguration con internal static ChatClient GetAzureOpenAIChatClient(IConfiguration configuration) { - string azureOpenAiEndpoint = configuration["AZURE_OPENAI_ENDPOINT"] - ?? throw new InvalidOperationException("The required AZURE_OPENAI_ENDPOINT env variable is not set."); - string azureOpenAiDeploymentName = configuration["AZURE_OPENAI_DEPLOYMENT"] - ?? throw new InvalidOperationException("The required AZURE_OPENAI_DEPLOYMENT env variable is not set."); + string azureOpenAiEndpoint = + configuration["AZUREAI:ENDPOINT"] ?? // Defined in dotnet-build-and-test.yml (as AZUREAI__ENDPOINT) + configuration["AZURE_OPENAI_ENDPOINT"] ?? // Legacy + throw new InvalidOperationException("The required AZUREAI__ENDPOINT or AZURE_OPENAI_ENDPOINT env variable is not set."); + string azureOpenAiDeploymentName = + configuration["AZUREAI:DEPLOYMENTNAME"] ?? // Defined in dotnet-build-and-test.yml (as AZUREAI__DEPLOYMENTNAME) + configuration["AZURE_OPENAI_DEPLOYMENT"] ?? // Legacy + throw new InvalidOperationException("The required AZUREAI__DEPLOYMENTNAME or AZURE_OPENAI_DEPLOYMENT env variable is not set."); // Check if AZURE_OPENAI_KEY is provided for token-based authentication string? azureOpenAiKey = configuration["AZURE_OPENAI_KEY"]; diff --git a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs index 9572b097ae..cf5c6ea720 100644 --- a/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs +++ b/dotnet/tests/Microsoft.Agents.AI.Hosting.AzureFunctions.IntegrationTests/SamplesValidation.cs @@ -635,10 +635,14 @@ private Process StartFunctionApp(string samplePath, List logs) RedirectStandardError = true, }; - string openAiEndpoint = s_configuration["AZURE_OPENAI_ENDPOINT"] - ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set in the environment variables or user secrets"); - string openAiDeployment = s_configuration["AZURE_OPENAI_DEPLOYMENT"] - ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT is not set in the environment variables or user secrets"); + string openAiEndpoint = + s_configuration["AZUREAI:ENDPOINT"] ?? // Defined in dotnet-build-and-test.yml (as AZUREAI__ENDPOINT) + s_configuration["AZURE_OPENAI_ENDPOINT"] ?? // Legacy + throw new InvalidOperationException("The required AZUREAI__ENDPOINT or AZURE_OPENAI_ENDPOINT env variable is not set."); + string openAiDeployment = + s_configuration["AZUREAI:DEPLOYMENTNAME"] ?? // Defined in dotnet-build-and-test.yml (as AZUREAI__DEPLOYMENTNAME) + s_configuration["AZURE_OPENAI_DEPLOYMENT"] ?? // Legacy + throw new InvalidOperationException("The required AZUREAI__DEPLOYMENTNAME or AZURE_OPENAI_DEPLOYMENT env variable is not set."); // Set required environment variables for the function app (see local.settings.json for required settings) startInfo.EnvironmentVariables["AZURE_OPENAI_ENDPOINT"] = openAiEndpoint; diff --git a/schemas/durable-agent-entity-state.json b/schemas/durable-agent-entity-state.json index 7ec195f89f..bf6fff9bfa 100644 --- a/schemas/durable-agent-entity-state.json +++ b/schemas/durable-agent-entity-state.json @@ -144,7 +144,7 @@ }, "createdAt": { "type": "string", "format": "date-time", "description": "When this message was created (RFC 3339)." } }, - "required": ["role", "createdAt"] + "required": ["role"] }, "chatMessages": { "type": "array", @@ -157,8 +157,7 @@ "createdAt": { "type": "string", "format": "date-time", "description": "When this exchange was created (RFC 3339)." }, "correlationId": { "type": "string", "description": "An optional correlation ID to group related exchanges." }, "messages": { "$ref": "#/$defs/chatMessages" } - }, - "required": ["createdAt"] + } }, "agentRequest": { "allOf": [ From 4eb31f120babdce810d8cd6786e123b2f7c77216 Mon Sep 17 00:00:00 2001 From: Laveesh Rohra Date: Mon, 10 Nov 2025 21:27:17 -0800 Subject: [PATCH 12/19] Python: Add Integration tests for AzureFunctions (#2020) * Add Integration tests * Remove DTS extension * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Apply suggestions from code review Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Add pyi file for type safety * Add samples in readme * Updated all readme instructions * Address comments * Update readmes * Fix requirements * Address comments --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --- .../action.yml | 26 ++ .github/workflows/python-merge-tests.yml | 8 + .../tests/integration_tests/.env.example | 12 + .../tests/integration_tests/README.md | 81 ++++ .../tests/integration_tests/__init__.py | 1 + .../tests/integration_tests/conftest.py | 121 ++++++ .../integration_tests/test_01_single_agent.py | 116 +++++ .../integration_tests/test_02_multi_agent.py | 59 +++ .../integration_tests/test_03_callbacks.py | 79 ++++ ..._04_single_agent_orchestration_chaining.py | 53 +++ ...5_multi_agent_orchestration_concurrency.py | 55 +++ ..._multi_agent_orchestration_conditionals.py | 73 ++++ ...test_07_single_agent_orchestration_hitl.py | 185 ++++++++ .../tests/integration_tests/testutils.py | 401 ++++++++++++++++++ .../azurefunctions/__init__.py | 4 +- .../azurefunctions/__init__.pyi | 17 + python/samples/README.md | 12 + .../azure_functions/01_single_agent/README.md | 7 +- .../azure_functions/01_single_agent/demo.http | 8 +- .../01_single_agent/function_app.py | 2 +- .../azure_functions/01_single_agent/host.json | 5 + .../local.settings.json.template | 4 +- .../01_single_agent/requirements.txt | 3 +- .../azure_functions/02_multi_agent/README.md | 6 +- .../azure_functions/02_multi_agent/demo.http | 3 +- .../02_multi_agent/function_app.py | 2 +- .../azure_functions/02_multi_agent/host.json | 5 + .../local.settings.json.template | 4 +- .../02_multi_agent/requirements.txt | 1 + .../azure_functions/03_callbacks/README.md | 10 +- .../azure_functions/03_callbacks/host.json | 5 + .../03_callbacks/local.settings.json.template | 4 +- .../03_callbacks/requirements.txt | 3 +- .../README.md | 13 +- .../host.json | 15 +- .../local.settings.json.template | 4 +- .../requirements.txt | 1 + .../README.md | 13 +- .../host.json | 15 +- .../local.settings.json.template | 4 +- .../requirements.txt | 1 + .../README.md | 11 +- .../host.json | 15 +- .../local.settings.json.template | 4 +- .../requirements.txt | 1 + .../README.md | 11 +- .../function_app.py | 4 +- .../host.json | 15 +- .../local.settings.json.template | 4 +- .../requirements.txt | 1 + 50 files changed, 1401 insertions(+), 106 deletions(-) create mode 100644 .github/actions/azure-functions-integration-setup/action.yml create mode 100644 python/packages/azurefunctions/tests/integration_tests/.env.example create mode 100644 python/packages/azurefunctions/tests/integration_tests/README.md create mode 100644 python/packages/azurefunctions/tests/integration_tests/__init__.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/conftest.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/test_01_single_agent.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/test_02_multi_agent.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/test_03_callbacks.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py create mode 100644 python/packages/azurefunctions/tests/integration_tests/testutils.py create mode 100644 python/packages/core/agent_framework/azurefunctions/__init__.pyi diff --git a/.github/actions/azure-functions-integration-setup/action.yml b/.github/actions/azure-functions-integration-setup/action.yml new file mode 100644 index 0000000000..6bc3b8b179 --- /dev/null +++ b/.github/actions/azure-functions-integration-setup/action.yml @@ -0,0 +1,26 @@ +name: Azure Functions Integration Test Setup +description: Prepare local emulators and tools for Azure Functions integration tests + +runs: + using: "composite" + steps: + - name: Start Durable Task Scheduler Emulator + shell: bash + run: | + if [ "$(docker ps -aq -f name=dts-emulator)" ]; then + docker rm -f dts-emulator + fi + docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest + timeout 30 bash -c 'until curl --silent --fail http://localhost:8080/healthz; do sleep 1; done' + - name: Start Azurite (Azure Storage emulator) + shell: bash + run: | + if [ "$(docker ps -aq -f name=azurite)" ]; then + docker rm -f azurite + fi + docker run -d --name azurite -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite + - name: Install Azure Functions Core Tools + shell: bash + run: | + npm install -g azure-functions-core-tools@4 --unsafe-perm true + func --version diff --git a/.github/workflows/python-merge-tests.yml b/.github/workflows/python-merge-tests.yml index bd5768b968..a30b3c4ac3 100644 --- a/.github/workflows/python-merge-tests.yml +++ b/.github/workflows/python-merge-tests.yml @@ -66,6 +66,11 @@ jobs: AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME: ${{ vars.AZUREOPENAI__RESPONSESDEPLOYMENTNAME }} AZURE_OPENAI_ENDPOINT: ${{ vars.AZUREOPENAI__ENDPOINT }} LOCAL_MCP_URL: ${{ vars.LOCAL_MCP__URL }} + # For Azure Functions integration tests + FUNCTIONS_WORKER_RUNTIME: "python" + DURABLE_TASK_SCHEDULER_CONNECTION_STRING: "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None" + AzureWebJobsStorage: "UseDevelopmentStorage=true" + defaults: run: working-directory: python @@ -87,6 +92,9 @@ jobs: client-id: ${{ secrets.AZURE_CLIENT_ID }} tenant-id: ${{ secrets.AZURE_TENANT_ID }} subscription-id: ${{ secrets.AZURE_SUBSCRIPTION_ID }} + - name: Set up Azure Functions Integration Test Emulators + uses: ./.github/actions/azure-functions-integration-setup + id: azure-functions-setup - name: Test with pytest timeout-minutes: 10 run: uv run poe all-tests -n logical --dist loadfile --dist worksteal --timeout 300 --retries 3 --retry-delay 10 diff --git a/python/packages/azurefunctions/tests/integration_tests/.env.example b/python/packages/azurefunctions/tests/integration_tests/.env.example new file mode 100644 index 0000000000..c11ac20e64 --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/.env.example @@ -0,0 +1,12 @@ +# Azure OpenAI Configuration +AZURE_OPENAI_ENDPOINT=https://your-resource.openai.azure.com/ +AZURE_OPENAI_CHAT_DEPLOYMENT_NAME=your-deployment-name +AZURE_OPENAI_API_KEY=your-api-key-here +FUNCTIONS_WORKER_RUNTIME=python +RUN_INTEGRATION_TESTS=true + +# Azure Functions Configuration +AzureWebJobsStorage=UseDevelopmentStorage=true +DURABLE_TASK_SCHEDULER_CONNECTION_STRING=Endpoint=http://localhost:8080;Authentication=None + +# Note: TASKHUB_NAME is not required for integration tests; it is auto-generated per test run. diff --git a/python/packages/azurefunctions/tests/integration_tests/README.md b/python/packages/azurefunctions/tests/integration_tests/README.md new file mode 100644 index 0000000000..d9ecb86234 --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/README.md @@ -0,0 +1,81 @@ +# Sample Integration Tests + +Integration tests that validate the Durable Agent Framework samples by running them as Azure Functions. + +## Setup + +### 1. Create `.env` file + +Copy `.env.example` to `.env` and fill in your Azure credentials: + +```bash +cp .env.example .env +``` + +Required variables: +- `AZURE_OPENAI_ENDPOINT` +- `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` +- `AZURE_OPENAI_API_KEY` +- `AzureWebJobsStorage` +- `DURABLE_TASK_SCHEDULER_CONNECTION_STRING` +- `FUNCTIONS_WORKER_RUNTIME` + +### 2. Start required services + +**Azurite (for orchestration tests):** +```bash +docker run -d -p 10000:10000 -p 10001:10001 -p 10002:10002 mcr.microsoft.com/azure-storage/azurite +``` + +**Durable Task Scheduler:** +```bash +docker run -d -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest +``` + +## Running Tests + +The tests automatically start and stop the Azure Functions app for each sample. + +### Run all sample tests +```bash +uv run pytest packages/azurefunctions/tests/integration_tests -v +``` + +### Run specific sample +```bash +uv run pytest packages/azurefunctions/tests/integration_tests/test_01_single_agent.py -v +``` + +### Run with verbose output +```bash +uv run pytest packages/azurefunctions/tests/integration_tests -sv +``` + +## How It Works + +Each test file uses pytest markers to automatically configure and start the function app: + +```python +pytestmark = [ + pytest.mark.sample("01_single_agent"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] +``` + +The `function_app_for_test` fixture: +1. Loads environment variables from `.env` +2. Validates required variables are present +3. Starts the function app on a dynamically allocated port +4. Waits for the app to be ready +5. Runs your tests +6. Tears down the function app + +## Troubleshooting + + +**Missing environment variables:** +Ensure your `.env` file contains all required variables from `.env.example`. + +**Tests timeout:** +Check that Azure OpenAI credentials are valid and the service is accessible. diff --git a/python/packages/azurefunctions/tests/integration_tests/__init__.py b/python/packages/azurefunctions/tests/integration_tests/__init__.py new file mode 100644 index 0000000000..2a50eae894 --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/__init__.py @@ -0,0 +1 @@ +# Copyright (c) Microsoft. All rights reserved. diff --git a/python/packages/azurefunctions/tests/integration_tests/conftest.py b/python/packages/azurefunctions/tests/integration_tests/conftest.py new file mode 100644 index 0000000000..e2f19d6037 --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/conftest.py @@ -0,0 +1,121 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Pytest configuration for Durable Agent Framework tests. + +This module provides fixtures and configuration for pytest. +""" + +import subprocess +from collections.abc import Iterator, Mapping +from typing import Any + +import pytest +import requests + +from .testutils import ( + FunctionAppStartupError, + build_base_url, + cleanup_function_app, + find_available_port, + get_sample_path_from_marker, + load_and_validate_env, + start_function_app, + wait_for_function_app_ready, +) + + +def pytest_configure(config: pytest.Config) -> None: + """Register custom markers.""" + config.addinivalue_line("markers", "orchestration: marks tests that use orchestrations (require Azurite)") + config.addinivalue_line( + "markers", + "sample(path): specify the sample directory path for the test (e.g., @pytest.mark.sample('01_single_agent'))", + ) + + +@pytest.fixture(scope="session") +def function_app_running() -> bool: + """ + Check if the function app is running on localhost:7071. + + This fixture can be used to skip tests if the function app is not available. + """ + try: + response = requests.get("http://localhost:7071/api/health", timeout=2) + return response.status_code == 200 + except requests.exceptions.RequestException: + return False + + +@pytest.fixture(scope="session") +def skip_if_no_function_app(function_app_running: bool) -> None: + """Skip test if function app is not running.""" + if not function_app_running: + pytest.skip("Function app is not running on http://localhost:7071") + + +@pytest.fixture(scope="module") +def function_app_for_test(request: pytest.FixtureRequest) -> Iterator[dict[str, int | str]]: + """ + Start the function app for the corresponding sample based on marker. + + This fixture: + 1. Determines which sample to run from @pytest.mark.sample() + 2. Validates environment variables + 3. Starts the function app using 'func start' + 4. Waits for the app to be ready + 5. Tears down the app after tests complete + + Usage: + @pytest.mark.sample("01_single_agent") + @pytest.mark.usefixtures("function_app_for_test") + class TestSample01SingleAgent: + ... + """ + # Get sample path from marker + sample_path, error_message = get_sample_path_from_marker(request) + if error_message: + pytest.fail(error_message) + + assert sample_path is not None, "Sample path must be resolved before starting the function app" + + # Load .env file if it exists and validate required env vars + load_and_validate_env() + + max_attempts = 3 + last_error: Exception | None = None + func_process: subprocess.Popen[Any] | None = None + base_url = "" + port = 0 + + for _ in range(max_attempts): + port = find_available_port() + base_url = build_base_url(port) + func_process = start_function_app(sample_path, port) + + try: + wait_for_function_app_ready(func_process, port) + last_error = None + break + except FunctionAppStartupError as exc: + last_error = exc + cleanup_function_app(func_process) + func_process = None + + if func_process is None: + error_message = f"Function app failed to start after {max_attempts} attempt(s)." + if last_error is not None: + error_message += f" Last error: {last_error}" + pytest.fail(error_message) + + try: + yield {"base_url": base_url, "port": port} + finally: + if func_process is not None: + cleanup_function_app(func_process) + + +@pytest.fixture(scope="module") +def base_url(function_app_for_test: Mapping[str, int | str]) -> str: + """Expose the function app's base URL to tests.""" + return str(function_app_for_test["base_url"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/test_01_single_agent.py b/python/packages/azurefunctions/tests/integration_tests/test_01_single_agent.py new file mode 100644 index 0000000000..b2457a113d --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/test_01_single_agent.py @@ -0,0 +1,116 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Integration Tests for Single Agent Sample + +Tests the single agent sample with various message formats and session management. + +The function app is automatically started by the test fixture. + +Prerequisites: +- Azure OpenAI credentials configured (see packages/azurefunctions/tests/integration_tests/.env.example) +- Azurite or Azure Storage account configured + +Usage: + uv run pytest packages/azurefunctions/tests/integration_tests/test_01_single_agent.py -v +""" + +import pytest + +from .testutils import SampleTestHelper, skip_if_azure_functions_integration_tests_disabled + +# Module-level markers - applied to all tests in this file +pytestmark = [ + pytest.mark.sample("01_single_agent"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] + + +class TestSampleSingleAgent: + """Tests for 01_single_agent sample.""" + + @pytest.fixture(autouse=True) + def _set_base_url(self, base_url: str) -> None: + """Provide agent-specific base URL for the tests.""" + self.base_url = f"{base_url}/api/agents/Joker" + + def test_health_check(self, base_url: str) -> None: + """Test health check endpoint.""" + response = SampleTestHelper.get(f"{base_url}/api/health") + assert response.status_code == 200 + data = response.json() + assert data["status"] == "healthy" + + def test_simple_message_json(self) -> None: + """Test sending a simple message with JSON payload.""" + response = SampleTestHelper.post_json( + f"{self.base_url}/run", + {"message": "Tell me a short joke about cloud computing.", "sessionId": "test-simple-json"}, + ) + # Agent can return 200 (immediate) or 202 (async with wait_for_completion=false) + assert response.status_code in [200, 202] + data = response.json() + + if response.status_code == 200: + # Synchronous response - check result directly + assert data["status"] == "success" + assert "response" in data + assert data["message_count"] >= 1 + else: + # Async response - check we got correlation info + assert "correlationId" in data or "sessionId" in data + + def test_simple_message_plain_text(self) -> None: + """Test sending a message with plain text payload.""" + response = SampleTestHelper.post_text(f"{self.base_url}/run", "Tell me a short joke about networking.") + assert response.status_code in [200, 202] + data = response.json() + + if response.status_code == 200: + assert data["status"] == "success" + assert "response" in data + + def test_session_key_in_query(self) -> None: + """Test using sessionKey in query parameter.""" + response = SampleTestHelper.post_text( + f"{self.base_url}/run?sessionKey=test-query-session", "Tell me a short joke about weather in Texas." + ) + assert response.status_code in [200, 202] + data = response.json() + + if response.status_code == 200: + assert data["status"] == "success" + + def test_conversation_continuity(self) -> None: + """Test conversation context is maintained across requests.""" + session_id = "test-continuity" + + # First message + response1 = SampleTestHelper.post_json( + f"{self.base_url}/run", + {"message": "Tell me a short joke about weather in Seattle.", "sessionId": session_id}, + ) + assert response1.status_code in [200, 202] + + if response1.status_code == 200: + data1 = response1.json() + assert data1["message_count"] == 1 + + # Second message in same session + response2 = SampleTestHelper.post_json( + f"{self.base_url}/run", {"message": "What about San Francisco?", "sessionId": session_id} + ) + assert response2.status_code == 200 + data2 = response2.json() + assert data2["message_count"] == 2 + else: + # In async mode, we can't easily test message count + # Just verify we can make multiple calls + response2 = SampleTestHelper.post_json( + f"{self.base_url}/run", {"message": "What about Texas?", "sessionId": session_id} + ) + assert response2.status_code == 202 + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/test_02_multi_agent.py b/python/packages/azurefunctions/tests/integration_tests/test_02_multi_agent.py new file mode 100644 index 0000000000..7b0bcde4be --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/test_02_multi_agent.py @@ -0,0 +1,59 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Integration Tests for Multi-Agent Sample + +Tests the multi-agent sample with different agent endpoints. + +The function app is automatically started by the test fixture. + +Prerequisites: +- Azure OpenAI credentials configured (see packages/azurefunctions/tests/integration_tests/.env.example) +- Azurite or Azure Storage account configured + +Usage: + uv run pytest packages/azurefunctions/tests/integration_tests/test_02_multi_agent.py -v +""" + +import pytest + +from .testutils import SampleTestHelper, skip_if_azure_functions_integration_tests_disabled + +# Module-level markers - applied to all tests in this file +pytestmark = [ + pytest.mark.sample("02_multi_agent"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] + + +class TestSampleMultiAgent: + """Tests for 02_multi_agent sample.""" + + @pytest.fixture(autouse=True) + def _set_agent_urls(self, base_url: str) -> None: + """Configure base URLs for Weather and Math agents.""" + self.weather_base_url = f"{base_url}/api/agents/WeatherAgent" + self.math_base_url = f"{base_url}/api/agents/MathAgent" + + def test_weather_agent(self) -> None: + """Test WeatherAgent endpoint.""" + response = SampleTestHelper.post_json( + f"{self.weather_base_url}/run", {"message": "What is the weather in Seattle?"} + ) + assert response.status_code == 202 + data = response.json() + assert data["status"] == "accepted" + + def test_math_agent(self) -> None: + """Test MathAgent endpoint.""" + response = SampleTestHelper.post_json( + f"{self.math_base_url}/run", {"message": "Calculate a 20% tip on a $50 bill"} + ) + assert response.status_code == 202 + data = response.json() + assert data["status"] == "accepted" + assert "response" in data + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/test_03_callbacks.py b/python/packages/azurefunctions/tests/integration_tests/test_03_callbacks.py new file mode 100644 index 0000000000..c3ced2f75c --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/test_03_callbacks.py @@ -0,0 +1,79 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Integration Tests for Callbacks Sample + +Tests the callbacks sample for event tracking and management. + +The function app is automatically started by the test fixture. + +Prerequisites: +- Azure OpenAI credentials configured (see packages/azurefunctions/tests/integration_tests/.env.example) +- Azurite or Azure Storage account configured + +Usage: + uv run pytest packages/azurefunctions/tests/integration_tests/test_03_callbacks.py -v +""" + +import pytest +import requests + +from .testutils import ( + TIMEOUT, + SampleTestHelper, + skip_if_azure_functions_integration_tests_disabled, +) + +# Module-level markers - applied to all tests in this file +pytestmark = [ + pytest.mark.sample("03_callbacks"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] + + +class TestSampleCallbacks: + """Tests for 03_callbacks sample.""" + + @pytest.fixture(autouse=True) + def _set_base_url(self, base_url: str) -> None: + """Provide the callback agent base URL for each test.""" + self.base_url = f"{base_url}/api/agents/CallbackAgent" + + def test_agent_with_callbacks(self) -> None: + """Test agent execution with callback tracking.""" + conversation_id = "test-callback" + + response = SampleTestHelper.post_json( + f"{self.base_url}/run", {"message": "Tell me about Python", "conversationId": conversation_id} + ) + assert response.status_code == 202 + data = response.json() + assert data["status"] == "accepted" + + def test_get_callbacks(self) -> None: + """Test retrieving callback events.""" + conversation_id = "test-callback-retrieve" + + # Send a message first + SampleTestHelper.post_json(f"{self.base_url}/run", {"message": "Hello", "conversationId": conversation_id}) + + # Get callbacks + response = SampleTestHelper.get(f"{self.base_url}/callbacks/{conversation_id}") + assert response.status_code == 200 + data = response.json() + assert isinstance(data, list) + + def test_delete_callbacks(self) -> None: + """Test clearing callback events.""" + conversation_id = "test-callback-delete" + + # Send a message first + SampleTestHelper.post_json(f"{self.base_url}/run", {"message": "Test", "conversationId": conversation_id}) + + # Delete callbacks + response = requests.delete(f"{self.base_url}/callbacks/{conversation_id}", timeout=TIMEOUT) + assert response.status_code == 204 + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py b/python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py new file mode 100644 index 0000000000..e4bb1cd930 --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py @@ -0,0 +1,53 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Integration Tests for Orchestration Chaining Sample + +Tests the orchestration chaining sample for sequential agent execution. + +The function app is automatically started by the test fixture. + +Prerequisites: +- Azure OpenAI credentials configured (see packages/azurefunctions/tests/integration_tests/.env.example) +- Azurite running for durable orchestrations (or Azure Storage account configured) + +Usage: + # Start Azurite (if not already running) + azurite & + + # Run tests + uv run pytest packages/azurefunctions/tests/integration_tests/test_04_single_agent_orchestration_chaining.py -v +""" + +import pytest + +from .testutils import SampleTestHelper, skip_if_azure_functions_integration_tests_disabled + +# Module-level markers - applied to all tests in this file +pytestmark = [ + pytest.mark.sample("04_single_agent_orchestration_chaining"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] + + +@pytest.mark.orchestration +class TestSampleOrchestrationChaining: + """Tests for 04_single_agent_orchestration_chaining sample.""" + + def test_orchestration_chaining(self, base_url: str) -> None: + """Test sequential agent calls in orchestration.""" + # Start orchestration + response = SampleTestHelper.post_json(f"{base_url}/api/singleagent/run", {}) + assert response.status_code == 202 + data = response.json() + assert "instanceId" in data + assert "statusQueryGetUri" in data + + # Wait for completion with output available + status = SampleTestHelper.wait_for_orchestration_with_output(data["statusQueryGetUri"]) + assert status["runtimeStatus"] == "Completed" + assert "output" in status + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py b/python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py new file mode 100644 index 0000000000..aac8f361c6 --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py @@ -0,0 +1,55 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Integration Tests for MultiAgent Concurrency Sample + +Tests the multi-agent concurrency sample for parallel agent execution. + +The function app is automatically started by the test fixture. + +Prerequisites: +- Azure OpenAI credentials configured (see packages/azurefunctions/tests/integration_tests/.env.example) +- Azurite running for durable orchestrations (or Azure Storage account configured) + +Usage: + # Start Azurite (if not already running) + azurite & + + # Run tests + uv run pytest packages/azurefunctions/tests/integration_tests/test_05_multi_agent_orchestration_concurrency.py -v +""" + +import pytest + +from .testutils import SampleTestHelper, skip_if_azure_functions_integration_tests_disabled + +# Module-level markers - applied to all tests in this file +pytestmark = [ + pytest.mark.orchestration, + pytest.mark.sample("05_multi_agent_orchestration_concurrency"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] + + +class TestSampleMultiAgentConcurrency: + """Tests for 05_multi_agent_orchestration_concurrency sample.""" + + def test_concurrent_agents(self, base_url: str) -> None: + """Test multiple agents running concurrently.""" + # Start orchestration + response = SampleTestHelper.post_text(f"{base_url}/api/multiagent/run", "What is temperature?") + assert response.status_code == 202 + data = response.json() + assert "instanceId" in data + assert "statusQueryGetUri" in data + + # Wait for completion + status = SampleTestHelper.wait_for_orchestration(data["statusQueryGetUri"]) + assert status["runtimeStatus"] == "Completed" + output = status["output"] + assert "physicist" in output + assert "chemist" in output + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py b/python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py new file mode 100644 index 0000000000..d7f13777bb --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py @@ -0,0 +1,73 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Integration Tests for MultiAgent Conditionals Sample + +Tests the multi-agent conditionals sample for conditional orchestration logic. + +The function app is automatically started by the test fixture. + +Prerequisites: +- Azure OpenAI credentials configured (see packages/azurefunctions/tests/integration_tests/.env.example) +- Azurite running for durable orchestrations (or Azure Storage account configured) + +Usage: + # Start Azurite (if not already running) + azurite & + + # Run tests + uv run pytest packages/azurefunctions/tests/integration_tests/test_06_multi_agent_orchestration_conditionals.py -v +""" + +import pytest + +from .testutils import SampleTestHelper, skip_if_azure_functions_integration_tests_disabled + +# Module-level markers - applied to all tests in this file +pytestmark = [ + pytest.mark.orchestration, + pytest.mark.sample("06_multi_agent_orchestration_conditionals"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] + + +class TestSampleMultiAgentConditionals: + """Tests for 06_multi_agent_orchestration_conditionals sample.""" + + def test_legitimate_email(self, base_url: str) -> None: + """Test conditional logic with legitimate email.""" + response = SampleTestHelper.post_json( + f"{base_url}/api/spamdetection/run", + { + "email_id": "email-test-001", + "email_content": "Hi John, I hope you are doing well. Can you send me the report?", + }, + ) + assert response.status_code == 202 + data = response.json() + assert "instanceId" in data + assert "statusQueryGetUri" in data + + # Wait for completion + status = SampleTestHelper.wait_for_orchestration(data["statusQueryGetUri"]) + assert status["runtimeStatus"] == "Completed" + assert "Email sent:" in status["output"] + + def test_spam_email(self, base_url: str) -> None: + """Test conditional logic with spam email.""" + response = SampleTestHelper.post_json( + f"{base_url}/api/spamdetection/run", + {"email_id": "email-test-002", "email_content": "URGENT! You have won $1,000,000! Click here now!"}, + ) + assert response.status_code == 202 + data = response.json() + assert "instanceId" in data + + # Wait for completion + status = SampleTestHelper.wait_for_orchestration(data["statusQueryGetUri"]) + assert status["runtimeStatus"] == "Completed" + assert "Email marked as spam:" in status["output"] + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py b/python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py new file mode 100644 index 0000000000..ade46033bc --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py @@ -0,0 +1,185 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Integration Tests for Human-in-the-Loop (HITL) Orchestration Sample + +Tests the HITL orchestration sample for content generation with human approval workflow. + +The function app is automatically started by the test fixture. + +Prerequisites: +- Azure OpenAI credentials configured (see packages/azurefunctions/tests/integration_tests/.env.example) +- Azurite running for durable orchestrations (or Azure Storage account configured) + +Usage: + # Start Azurite (if not already running) + azurite & + + # Run tests + uv run pytest packages/azurefunctions/tests/integration_tests/test_07_single_agent_orchestration_hitl.py -v +""" + +import time + +import pytest + +from .testutils import SampleTestHelper, skip_if_azure_functions_integration_tests_disabled + +# Module-level markers - applied to all tests in this file +pytestmark = [ + pytest.mark.sample("07_single_agent_orchestration_hitl"), + pytest.mark.usefixtures("function_app_for_test"), + skip_if_azure_functions_integration_tests_disabled, +] + + +@pytest.mark.orchestration +class TestSampleHITLOrchestration: + """Tests for 07_single_agent_orchestration_hitl sample.""" + + @pytest.fixture(autouse=True) + def _set_hitl_base_url(self, base_url: str) -> None: + """Prepare the HITL API base URL for the module's tests.""" + self.hitl_base_url = f"{base_url}/api/hitl" + + def test_hitl_orchestration_approval(self) -> None: + """Test HITL orchestration with human approval.""" + # Start orchestration + response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/run", + {"topic": "artificial intelligence", "max_review_attempts": 3, "approval_timeout_hours": 1.0}, + ) + assert response.status_code == 202 + data = response.json() + assert "instanceId" in data + assert "statusQueryGetUri" in data + assert data["topic"] == "artificial intelligence" + instance_id = data["instanceId"] + + # Wait a bit for the orchestration to generate initial content + time.sleep(5) + + # Check status to ensure it's waiting for approval + status_response = SampleTestHelper.get(data["statusQueryGetUri"]) + assert status_response.status_code == 200 + status = status_response.json() + assert status["runtimeStatus"] in ["Running", "Pending"] + + # Send approval + approval_response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/approve/{instance_id}", {"approved": True, "feedback": ""} + ) + assert approval_response.status_code == 200 + approval_data = approval_response.json() + assert approval_data["approved"] is True + + # Wait for orchestration to complete + status = SampleTestHelper.wait_for_orchestration(data["statusQueryGetUri"]) + assert status["runtimeStatus"] == "Completed" + assert "output" in status + assert "content" in status["output"] + + def test_hitl_orchestration_rejection_with_feedback(self) -> None: + """Test HITL orchestration with rejection and subsequent approval.""" + # Start orchestration + response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/run", + {"topic": "machine learning", "max_review_attempts": 3, "approval_timeout_hours": 1.0}, + ) + assert response.status_code == 202 + data = response.json() + instance_id = data["instanceId"] + + # Wait for initial content generation + time.sleep(5) + + # Send rejection with feedback + rejection_response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/approve/{instance_id}", + {"approved": False, "feedback": "Please make it more concise and focus on practical applications."}, + ) + assert rejection_response.status_code == 200 + + # Wait for regeneration + time.sleep(5) + + # Check status - should still be running + status_response = SampleTestHelper.get(data["statusQueryGetUri"]) + assert status_response.status_code == 200 + status = status_response.json() + assert status["runtimeStatus"] in ["Running", "Pending"] + + # Now approve the revised content + approval_response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/approve/{instance_id}", {"approved": True, "feedback": ""} + ) + assert approval_response.status_code == 200 + + # Wait for completion + status = SampleTestHelper.wait_for_orchestration(data["statusQueryGetUri"]) + assert status["runtimeStatus"] == "Completed" + assert "output" in status + + def test_hitl_orchestration_missing_topic(self) -> None: + """Test HITL orchestration with missing topic.""" + response = SampleTestHelper.post_json(f"{self.hitl_base_url}/run", {"max_review_attempts": 3}) + assert response.status_code == 400 + data = response.json() + assert "error" in data + + def test_hitl_get_status(self) -> None: + """Test getting orchestration status.""" + # Start orchestration + response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/run", + {"topic": "quantum computing", "max_review_attempts": 2, "approval_timeout_hours": 1.0}, + ) + assert response.status_code == 202 + data = response.json() + instance_id = data["instanceId"] + + # Get status + status_response = SampleTestHelper.get(f"{self.hitl_base_url}/status/{instance_id}") + assert status_response.status_code == 200 + status = status_response.json() + assert "instanceId" in status + assert "runtimeStatus" in status + assert status["instanceId"] == instance_id + + # Cleanup: approve to complete orchestration + time.sleep(5) + SampleTestHelper.post_json(f"{self.hitl_base_url}/approve/{instance_id}", {"approved": True, "feedback": ""}) + + def test_hitl_approval_invalid_payload(self) -> None: + """Test sending approval with invalid payload.""" + # Start orchestration first + response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/run", + {"topic": "test topic", "max_review_attempts": 1, "approval_timeout_hours": 1.0}, + ) + assert response.status_code == 202 + data = response.json() + instance_id = data["instanceId"] + + time.sleep(3) + + # Send approval without 'approved' field + approval_response = SampleTestHelper.post_json( + f"{self.hitl_base_url}/approve/{instance_id}", {"feedback": "Some feedback"} + ) + assert approval_response.status_code == 400 + error_data = approval_response.json() + assert "error" in error_data + + # Cleanup + SampleTestHelper.post_json(f"{self.hitl_base_url}/approve/{instance_id}", {"approved": True, "feedback": ""}) + + def test_hitl_status_invalid_instance(self) -> None: + """Test getting status for non-existent instance.""" + response = SampleTestHelper.get(f"{self.hitl_base_url}/status/invalid-instance-id") + assert response.status_code == 404 + data = response.json() + assert "error" in data + + +if __name__ == "__main__": + pytest.main([__file__, "-v"]) diff --git a/python/packages/azurefunctions/tests/integration_tests/testutils.py b/python/packages/azurefunctions/tests/integration_tests/testutils.py new file mode 100644 index 0000000000..f9da04e4b7 --- /dev/null +++ b/python/packages/azurefunctions/tests/integration_tests/testutils.py @@ -0,0 +1,401 @@ +# Copyright (c) Microsoft. All rights reserved. +""" +Shared test helper utilities for sample integration tests. + +This module provides common utilities for testing Azure Functions samples. +""" + +import os +import socket +import subprocess +import sys +import time +import uuid +from contextlib import suppress +from pathlib import Path +from typing import Any + +import pytest +import requests + +# Configuration +TIMEOUT = 30 # seconds +ORCHESTRATION_TIMEOUT = 180 # seconds for orchestrations +_DEFAULT_HOST = "localhost" + + +class FunctionAppStartupError(RuntimeError): + """Raised when the Azure Functions host fails to start reliably.""" + + pass + + +def _load_env_file_if_present() -> None: + """Load environment variables from the local .env file when available.""" + env_file = Path(__file__).parent / ".env" + if not env_file.exists(): + return + + try: + from dotenv import load_dotenv + + load_dotenv(env_file) + except ImportError: + # python-dotenv not available; rely on existing environment + pass + + +def _should_skip_azure_functions_integration_tests() -> tuple[bool, str]: + """Determine whether Azure Functions integration tests should be skipped.""" + _load_env_file_if_present() + + run_integration_tests = os.getenv("RUN_INTEGRATION_TESTS", "false").lower() == "true" + if not run_integration_tests: + return ( + True, + "Integration tests are disabled. Set RUN_INTEGRATION_TESTS=true to enable Azure Functions sample tests.", + ) + + endpoint = os.getenv("AZURE_OPENAI_ENDPOINT", "").strip() + if not endpoint or endpoint == "https://your-resource.openai.azure.com/": + return True, "No real AZURE_OPENAI_ENDPOINT provided; skipping integration tests." + + deployment_name = os.getenv("AZURE_OPENAI_CHAT_DEPLOYMENT_NAME", "").strip() + if not deployment_name or deployment_name == "your-deployment-name": + return True, "No real AZURE_OPENAI_CHAT_DEPLOYMENT_NAME provided; skipping integration tests." + + api_key = os.getenv("AZURE_OPENAI_API_KEY", "").strip() + if not api_key or api_key == "your-api-key-here": + return True, "No real AZURE_OPENAI_API_KEY provided; skipping integration tests." + + return False, "Integration tests enabled." + + +_SKIP_AZURE_FUNCTIONS_INTEGRATION_TESTS, _AZURE_FUNCTIONS_SKIP_REASON = _should_skip_azure_functions_integration_tests() + +skip_if_azure_functions_integration_tests_disabled = pytest.mark.skipif( + _SKIP_AZURE_FUNCTIONS_INTEGRATION_TESTS, + reason=_AZURE_FUNCTIONS_SKIP_REASON, +) + + +class SampleTestHelper: + """Helper class for testing samples.""" + + @staticmethod + def post_json(url: str, data: dict[str, Any], timeout: int = TIMEOUT) -> requests.Response: + """POST JSON data to a URL.""" + return requests.post(url, json=data, headers={"Content-Type": "application/json"}, timeout=timeout) + + @staticmethod + def post_text(url: str, text: str, timeout: int = TIMEOUT) -> requests.Response: + """POST plain text to a URL.""" + return requests.post(url, data=text, headers={"Content-Type": "text/plain"}, timeout=timeout) + + @staticmethod + def get(url: str, timeout: int = TIMEOUT) -> requests.Response: + """GET request to a URL.""" + return requests.get(url, timeout=timeout) + + @staticmethod + def wait_for_orchestration( + status_url: str, max_wait: int = ORCHESTRATION_TIMEOUT, poll_interval: int = 2 + ) -> dict[str, Any]: + """ + Wait for an orchestration to complete. + + Args: + status_url: URL to poll for orchestration status + max_wait: Maximum seconds to wait + poll_interval: Seconds between polls + + Returns: + Final orchestration status + + Raises: + TimeoutError: If orchestration doesn't complete in time + """ + start_time = time.time() + while time.time() - start_time < max_wait: + response = requests.get(status_url, timeout=TIMEOUT) + response.raise_for_status() + status = response.json() + + runtime_status = status.get("runtimeStatus", "") + if runtime_status in ["Completed", "Failed", "Terminated"]: + return status + + time.sleep(poll_interval) + + raise TimeoutError(f"Orchestration did not complete within {max_wait} seconds") + + @staticmethod + def wait_for_orchestration_with_output( + status_url: str, max_wait: int = ORCHESTRATION_TIMEOUT, poll_interval: int = 2 + ) -> dict[str, Any]: + """ + Wait for an orchestration to complete and have output available. + + This is a specialized version of wait_for_orchestration that also + ensures the output field is present, handling timing race conditions. + + Args: + status_url: URL to poll for orchestration status + max_wait: Maximum seconds to wait + poll_interval: Seconds between polls + + Returns: + Final orchestration status with output + + Raises: + TimeoutError: If orchestration doesn't complete with output in time + """ + start_time = time.time() + while time.time() - start_time < max_wait: + response = requests.get(status_url, timeout=TIMEOUT) + response.raise_for_status() + status = response.json() + + runtime_status = status.get("runtimeStatus", "") + if runtime_status in ["Failed", "Terminated"]: + return status + if runtime_status == "Completed" and status.get("output"): + return status + # If completed but no output, continue polling for a bit more to + # handle the race condition where output has not been persisted yet. + + time.sleep(poll_interval) + + # Provide detailed error message based on final status + final_response = requests.get(status_url, timeout=TIMEOUT) + final_response.raise_for_status() + final_status = final_response.json() + final_runtime_status = final_status.get("runtimeStatus", "Unknown") + + if final_runtime_status == "Completed": + if "output" not in final_status: + raise TimeoutError( + "Orchestration completed but 'output' field is missing after " + f"{max_wait} seconds. Final status: {final_status}" + ) + if not final_status["output"]: + raise TimeoutError( + "Orchestration completed but output is empty after " + f"{max_wait} seconds. Final status: {final_status}" + ) + raise TimeoutError( + "Orchestration completed with output but validation failed after " + f"{max_wait} seconds. Final status: {final_status}" + ) + raise TimeoutError( + "Orchestration did not complete within " + f"{max_wait} seconds. Final status: {final_runtime_status}, " + f"Full status: {final_status}" + ) + + +# Function App Lifecycle Management Helpers + + +def _resolve_repo_root() -> Path: + """Resolve the repository root, preferring GITHUB_WORKSPACE when available.""" + workspace = os.getenv("GITHUB_WORKSPACE") + if workspace: + candidate = Path(workspace).expanduser() + if not (candidate / "samples").exists() and (candidate / "python" / "samples").exists(): + return (candidate / "python").resolve() + return candidate.resolve() + + # If `GITHUB_WORKSPACE` is not set, + # go up from testutils.py -> integration_tests -> tests -> azurefunctions -> packages -> python + return Path(__file__).resolve().parents[4] + + +def get_sample_path_from_marker(request) -> tuple[Path | None, str | None]: + """ + Get sample path from @pytest.mark.sample() marker. + + Returns a tuple of (sample_path, error_message). + If successful, error_message is None. + If failed, sample_path is None and error_message contains the reason. + """ + marker = request.node.get_closest_marker("sample") + + if not marker: + return ( + None, + ( + "No @pytest.mark.sample() marker found on test. Add pytestmark with " + "@pytest.mark.sample('sample_name') to the test module." + ), + ) + + if not marker.args: + return ( + None, + "@pytest.mark.sample() marker found but no sample name provided. Use @pytest.mark.sample('sample_name').", + ) + + sample_name = marker.args[0] + repo_root = _resolve_repo_root() + sample_path = repo_root / "samples" / "getting_started" / "azure_functions" / sample_name + + if not sample_path.exists(): + return None, f"Sample directory does not exist: {sample_path}" + + return sample_path, None + + +def find_available_port(host: str = _DEFAULT_HOST) -> int: + """Find an available TCP port on the given host.""" + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: + sock.bind((host, 0)) + return sock.getsockname()[1] + + +def build_base_url(port: int, host: str = _DEFAULT_HOST) -> str: + """Construct a base URL for the Azure Functions host.""" + return f"http://{host}:{port}" + + +def is_port_in_use(port: int, host: str = _DEFAULT_HOST) -> bool: + """ + Check if a port is already in use. + + Returns True if the port is in use, False otherwise. + """ + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock: + return sock.connect_ex((host, port)) == 0 + + +def load_and_validate_env() -> None: + """ + Load .env file from current directory if it exists, + then validate that required environment variables are present. + + Raises pytest.fail if required environment variables are missing. + """ + _load_env_file_if_present() + + # Required environment variables for Azure Functions samples + # These match the variables defined in .env.example + required_env_vars = [ + "AZURE_OPENAI_ENDPOINT", + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME", + "AzureWebJobsStorage", + "DURABLE_TASK_SCHEDULER_CONNECTION_STRING", + "FUNCTIONS_WORKER_RUNTIME", + ] + + # Check if required env vars are set + missing_vars = [var for var in required_env_vars if not os.environ.get(var)] + + if missing_vars: + pytest.fail( + f"Missing required environment variables: {', '.join(missing_vars)}. " + "Please create a .env file in tests/integration_tests/ based on .env.example or " + "set these variables in your environment." + ) + + +def start_function_app(sample_path: Path, port: int) -> subprocess.Popen: + """ + Start a function app in the specified sample directory. + + Returns the subprocess.Popen object for the running process. + """ + env = os.environ.copy() + # Use a unique TASKHUB_NAME for each test run to ensure test isolation. + # This prevents conflicts between parallel or repeated test runs, as Durable Functions + # use the task hub name to separate orchestration state. + env["TASKHUB_NAME"] = f"test{uuid.uuid4().hex[:8]}" + + # On Windows, use CREATE_NEW_PROCESS_GROUP to allow proper termination + # shell=True only on Windows to handle PATH resolution + if sys.platform == "win32": + return subprocess.Popen( + ["func", "start", "--port", str(port)], + cwd=str(sample_path), + creationflags=subprocess.CREATE_NEW_PROCESS_GROUP, + shell=True, + env=env, + ) + # On Unix, don't use shell=True to avoid shell wrapper issues + return subprocess.Popen(["func", "start", "--port", str(port)], cwd=str(sample_path), env=env) + + +def wait_for_function_app_ready(func_process: subprocess.Popen, port: int, max_wait: int = 60) -> None: + """Block until the Azure Functions host responds healthy or fail fast.""" + start_time = time.time() + health_url = f"{build_base_url(port)}/api/health" + last_error: Exception | None = None + + while time.time() - start_time < max_wait: + # If the process exited early, capture any previously seen error and fail fast. + if func_process.poll() is not None: + raise FunctionAppStartupError( + f"Function app process exited with code {func_process.returncode} before becoming healthy" + ) from last_error + + if is_port_in_use(port): + try: + response = requests.get(health_url, timeout=5) + if response.status_code == 200: + return + last_error = RuntimeError(f"Health check returned {response.status_code}") + except requests.RequestException as exc: + last_error = exc + + time.sleep(1) + + raise FunctionAppStartupError( + f"Function app did not become healthy on port {port} within {max_wait} seconds" + ) from last_error + + +def cleanup_function_app(func_process: subprocess.Popen) -> None: + """ + Clean up the function app process and all its children. + + Uses psutil if available for more thorough cleanup, falls back to basic termination. + """ + try: + import psutil + + if func_process.poll() is None: # Process still running + # Get parent process + parent = psutil.Process(func_process.pid) + + # Get all child processes recursively + children = parent.children(recursive=True) + + # Kill children first + for child in children: + with suppress(psutil.NoSuchProcess, psutil.AccessDenied): + child.kill() + + # Kill parent + with suppress(psutil.NoSuchProcess, psutil.AccessDenied): + parent.kill() + + # Wait for all to terminate + _gone, alive = psutil.wait_procs(children + [parent], timeout=3) + + # Force kill any remaining + for proc in alive: + with suppress(psutil.NoSuchProcess, psutil.AccessDenied): + proc.kill() + except ImportError: + # Fallback if psutil not available + try: + if func_process.poll() is None: + func_process.kill() + func_process.wait() + except Exception: + # Ignore all exceptions during fallback cleanup; best effort to terminate process. + pass + except Exception: + pass # Best effort cleanup + + # Give the port time to be released + time.sleep(2) diff --git a/python/packages/core/agent_framework/azurefunctions/__init__.py b/python/packages/core/agent_framework/azurefunctions/__init__.py index b823f40be5..840a9472b6 100644 --- a/python/packages/core/agent_framework/azurefunctions/__init__.py +++ b/python/packages/core/agent_framework/azurefunctions/__init__.py @@ -6,11 +6,11 @@ PACKAGE_NAME = "agent_framework_azurefunctions" PACKAGE_EXTRA = "azurefunctions" _IMPORTS = [ + "AgentCallbackContext", "AgentFunctionApp", + "AgentResponseCallbackProtocol", "DurableAIAgent", "get_agent", - "AgentCallbackContext", - "AgentResponseCallbackProtocol", ] diff --git a/python/packages/core/agent_framework/azurefunctions/__init__.pyi b/python/packages/core/agent_framework/azurefunctions/__init__.pyi new file mode 100644 index 0000000000..f1d1853db3 --- /dev/null +++ b/python/packages/core/agent_framework/azurefunctions/__init__.pyi @@ -0,0 +1,17 @@ +# Copyright (c) Microsoft. All rights reserved. + +from agent_framework_azurefunctions import ( + AgentCallbackContext, + AgentFunctionApp, + AgentResponseCallbackProtocol, + DurableAIAgent, + get_agent, +) + +__all__ = [ + "AgentCallbackContext", + "AgentFunctionApp", + "AgentResponseCallbackProtocol", + "DurableAIAgent", + "get_agent", +] diff --git a/python/samples/README.md b/python/samples/README.md index f8602b3385..380a33e458 100644 --- a/python/samples/README.md +++ b/python/samples/README.md @@ -193,6 +193,18 @@ This directory contains samples demonstrating the capabilities of Microsoft Agen | [`getting_started/multimodal_input/azure_responses_multimodal.py`](./getting_started/multimodal_input/azure_responses_multimodal.py) | Azure OpenAI Responses with multimodal (image) input example | | [`getting_started/multimodal_input/openai_chat_multimodal.py`](./getting_started/multimodal_input/openai_chat_multimodal.py) | OpenAI Chat with multimodal (image) input example | +## Azure Functions + +| Sample | Description | +|--------|-------------| +| [`getting_started/azure_functions/01_single_agent/`](./getting_started/azure_functions/01_single_agent/) | Host a single agent in Azure Functions with Durable Extension HTTP endpoints and per-session state. | +| [`getting_started/azure_functions/02_multi_agent/`](./getting_started/azure_functions/02_multi_agent/) | Register multiple agents in one function app with dedicated run routes and a health check endpoint. | +| [`getting_started/azure_functions/03_callbacks/`](./getting_started/azure_functions/03_callbacks/) | Capture streaming response telemetry via Durable Extension callbacks exposed through HTTP APIs. | +| [`getting_started/azure_functions/04_single_agent_orchestration_chaining/`](./getting_started/azure_functions/04_single_agent_orchestration_chaining/) | Chain sequential agent executions inside a durable orchestration while preserving the shared thread context. | +| [`getting_started/azure_functions/05_multi_agent_orchestration_concurrency/`](./getting_started/azure_functions/05_multi_agent_orchestration_concurrency/) | Run two agents concurrently within a durable orchestration and combine their domain-specific outputs. | +| [`getting_started/azure_functions/06_multi_agent_orchestration_conditionals/`](./getting_started/azure_functions/06_multi_agent_orchestration_conditionals/) | Route orchestration logic based on structured agent responses for spam detection and reply drafting. | +| [`getting_started/azure_functions/07_single_agent_orchestration_hitl/`](./getting_started/azure_functions/07_single_agent_orchestration_hitl/) | Implement a human-in-the-loop approval loop that iterates on agent output inside a durable orchestration. | + ## Observability | File | Description | diff --git a/python/samples/getting_started/azure_functions/01_single_agent/README.md b/python/samples/getting_started/azure_functions/01_single_agent/README.md index 4163c29ac3..30bf298d4d 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/README.md +++ b/python/samples/getting_started/azure_functions/01_single_agent/README.md @@ -28,11 +28,10 @@ source .venv/bin/activate ### 2. Install dependencies -- Azure Functions Core Tools 4.x – install from the official docs so you can run `func start` locally. -- Azurite storage emulator – the sample uses `AzureWebJobsStorage=UseDevelopmentStorage=true`; start Azurite before launching the app. -- Durable Task local backend – `DURABLE_TASK_SCHEDULER_CONNECTION_STRING` expects the Durable Task scheduler listening on `http://localhost:8080` (start the Durable Functions emulator if it is not already running). +- [Azure Functions Core Tools 4.x](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) – install so you can run `func start` locally. +- [Azurite storage emulator](https://learn.microsoft.com/azure/storage/common/storage-use-azurite?tabs=visual-studio) – install and start Azurite before launching the app (the sample uses `AzureWebJobsStorage=UseDevelopmentStorage=true`). - Python dependencies – from this folder, run `pip install -r requirements.txt` (or the equivalent in your active virtual environment). -- Copy `local.settings.json.template` to `local.settings.json` and update the values for `AZURE_OPENAI_ENDPOINT` and `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` (and optionally `AZURE_OPENAI_API_KEY`) with your Azure OpenAI resource details; keep the other values as provided unless you are using custom infrastructure. +- Copy `local.settings.json.template` to `local.settings.json`, then update `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and `AZURE_OPENAI_API_KEY` so the Azure OpenAI SDK can authenticate; keep `TASKHUB_NAME` set to `default` unless you plan to change the durable task hub name. ## Running the Sample diff --git a/python/samples/getting_started/azure_functions/01_single_agent/demo.http b/python/samples/getting_started/azure_functions/01_single_agent/demo.http index 1f7cbacba1..bda2593ee8 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/demo.http +++ b/python/samples/getting_started/azure_functions/01_single_agent/demo.http @@ -14,13 +14,11 @@ Content-Type: application/json { "message": "Add a security element to it.", "sessionId": "session-003", - "waitForCompletion": false + "waitForCompletion": true } ### Ask for a joke (plain text payload) POST {{agentRoute}}/run +x-wait-for-completion: true -Give me a programming joke about race conditions. - -### Retrieve conversation state -GET {{agentRoute}}/session-001 \ No newline at end of file +Give me a programming joke about race conditions. \ No newline at end of file diff --git a/python/samples/getting_started/azure_functions/01_single_agent/function_app.py b/python/samples/getting_started/azure_functions/01_single_agent/function_app.py index 1ba1997906..b16bb20c68 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/function_app.py +++ b/python/samples/getting_started/azure_functions/01_single_agent/function_app.py @@ -22,7 +22,7 @@ def _create_agent() -> Any: # 2. Register the agent with AgentFunctionApp so Azure Functions exposes the required triggers. -app = AgentFunctionApp(agents=[_create_agent()], enable_health_check=True) +app = AgentFunctionApp(agents=[_create_agent()], enable_health_check=True, max_poll_retries=50) """ Expected output when invoking `POST /api/agents/Joker/run` with plain-text input: diff --git a/python/samples/getting_started/azure_functions/01_single_agent/host.json b/python/samples/getting_started/azure_functions/01_single_agent/host.json index b7e5ad1c0b..9e7fd873dd 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/host.json +++ b/python/samples/getting_started/azure_functions/01_single_agent/host.json @@ -3,5 +3,10 @@ "extensionBundle": { "id": "Microsoft.Azure.Functions.ExtensionBundle", "version": "[4.*, 5.0.0)" + }, + "extensions": { + "durableTask": { + "hubName": "%TASKHUB_NAME%" + } } } diff --git a/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json.template b/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json.template index 6c98a7d1cb..7d6ef15f82 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json.template +++ b/python/samples/getting_started/azure_functions/01_single_agent/local.settings.json.template @@ -4,7 +4,9 @@ "FUNCTIONS_WORKER_RUNTIME": "python", "AzureWebJobsStorage": "UseDevelopmentStorage=true", "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "TASKHUB_NAME": "default", "AZURE_OPENAI_ENDPOINT": "", - "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "", + "AZURE_OPENAI_API_KEY": "" } } diff --git a/python/samples/getting_started/azure_functions/01_single_agent/requirements.txt b/python/samples/getting_started/azure_functions/01_single_agent/requirements.txt index 8aa2c75d80..a9774236bb 100644 --- a/python/samples/getting_started/azure_functions/01_single_agent/requirements.txt +++ b/python/samples/getting_started/azure_functions/01_single_agent/requirements.txt @@ -1,2 +1,3 @@ agent-framework-azurefunctions -azure-identity \ No newline at end of file +azure-identity +packaging diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/README.md b/python/samples/getting_started/azure_functions/02_multi_agent/README.md index 14dfd5744c..a8108fcd89 100644 --- a/python/samples/getting_started/azure_functions/02_multi_agent/README.md +++ b/python/samples/getting_started/azure_functions/02_multi_agent/README.md @@ -27,11 +27,13 @@ source .venv/bin/activate ### 2. Install dependencies -See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. +- [Azure Functions Core Tools 4.x](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) – install so you can run `func start` locally. +- [Azurite storage emulator](https://learn.microsoft.com/azure/storage/common/storage-use-azurite?tabs=visual-studio) – install and start Azurite before launching the app; the sample expects `AzureWebJobsStorage=UseDevelopmentStorage=true`. +- Python dependencies – from this folder, run `pip install -r requirements.txt` (or use the equivalent command in your active virtual environment). ### 3. Configure local settings -Copy `local.settings.json.template` to `local.settings.json`, then set the Azure OpenAI values (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and optionally `AZURE_OPENAI_API_KEY`) to match your environment. +- Copy `local.settings.json.template` to `local.settings.json`, then set the Azure OpenAI values (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and `AZURE_OPENAI_API_KEY`) so the SDK can authenticate, and keep `TASKHUB_NAME` set to `default` unless you intend to change the durable task hub name. ## Running the Sample diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/demo.http b/python/samples/getting_started/azure_functions/02_multi_agent/demo.http index c685a01902..7f1650e8d3 100644 --- a/python/samples/getting_started/azure_functions/02_multi_agent/demo.http +++ b/python/samples/getting_started/azure_functions/02_multi_agent/demo.http @@ -51,7 +51,8 @@ Content-Type: application/json { "message": "Calculate a 20% tip on a $50 bill", - "sessionId": "math-user-001" + "sessionId": "math-user-001", + "waitForCompletion": true } ### diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/function_app.py b/python/samples/getting_started/azure_functions/02_multi_agent/function_app.py index dfede85d0f..6c1dcf9db2 100644 --- a/python/samples/getting_started/azure_functions/02_multi_agent/function_app.py +++ b/python/samples/getting_started/azure_functions/02_multi_agent/function_app.py @@ -67,7 +67,7 @@ def calculate_tip(bill_amount: float, tip_percentage: float = 15.0) -> dict[str, # 2. Register both agents with AgentFunctionApp to expose their HTTP routes and health check. -app = AgentFunctionApp(agents=[weather_agent, math_agent], enable_health_check=True) +app = AgentFunctionApp(agents=[weather_agent, math_agent], enable_health_check=True, max_poll_retries=50) # Option 2: Add agents after initialization (commented out as we're using Option 1) # app = AgentFunctionApp(enable_health_check=True) diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/host.json b/python/samples/getting_started/azure_functions/02_multi_agent/host.json index d1a0a92006..7efcaa1400 100644 --- a/python/samples/getting_started/azure_functions/02_multi_agent/host.json +++ b/python/samples/getting_started/azure_functions/02_multi_agent/host.json @@ -11,5 +11,10 @@ "extensionBundle": { "id": "Microsoft.Azure.Functions.ExtensionBundle", "version": "[4.*, 5.0.0)" + }, + "extensions": { + "durableTask": { + "hubName": "%TASKHUB_NAME%" + } } } diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template b/python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template index 6c98a7d1cb..7d6ef15f82 100644 --- a/python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template +++ b/python/samples/getting_started/azure_functions/02_multi_agent/local.settings.json.template @@ -4,7 +4,9 @@ "FUNCTIONS_WORKER_RUNTIME": "python", "AzureWebJobsStorage": "UseDevelopmentStorage=true", "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "TASKHUB_NAME": "default", "AZURE_OPENAI_ENDPOINT": "", - "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "", + "AZURE_OPENAI_API_KEY": "" } } diff --git a/python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt b/python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt index 8aa2c75d80..cc22a4fec4 100644 --- a/python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt +++ b/python/samples/getting_started/azure_functions/02_multi_agent/requirements.txt @@ -1,2 +1,3 @@ agent-framework-azurefunctions +packaging azure-identity \ No newline at end of file diff --git a/python/samples/getting_started/azure_functions/03_callbacks/README.md b/python/samples/getting_started/azure_functions/03_callbacks/README.md index 979a31b2ec..6ab17ae52f 100644 --- a/python/samples/getting_started/azure_functions/03_callbacks/README.md +++ b/python/samples/getting_started/azure_functions/03_callbacks/README.md @@ -17,10 +17,10 @@ an HTTP API that can be polled by a web client or dashboard. ## Prerequisites -- Python 3.11+ -- Azure Functions Core Tools v4 -- Access to an Azure OpenAI deployment (configure the environment variables listed in - `local.settings.json` or export them in your shell) +- Python 3.10+ +- [Azure Functions Core Tools 4.x](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) +- [Azurite storage emulator](https://learn.microsoft.com/azure/storage/common/storage-use-azurite?tabs=visual-studio) running locally so the sample can use `AzureWebJobsStorage=UseDevelopmentStorage=true` +- Access to an Azure OpenAI deployment with `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and `AZURE_OPENAI_API_KEY` configured (either in `local.settings.json` or exported in your shell) - Dependencies from `requirements.txt` installed in your environment > **Note:** The sample stores callback events in memory for simplicity. For production scenarios you @@ -48,7 +48,7 @@ an HTTP API that can be polled by a web client or dashboard. pip install -r requirements.txt ``` -3. Copy `local.settings.json.template` to `local.settings.json` and update the values (or export them as environment variables) with your Azure resources. +3. Copy `local.settings.json.template` to `local.settings.json` and update `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and `AZURE_OPENAI_API_KEY` (or export them as environment variables) for your Azure resources, making sure `TASKHUB_NAME` remains `default` unless you have changed the durable task hub name. 4. Start the Functions host: diff --git a/python/samples/getting_started/azure_functions/03_callbacks/host.json b/python/samples/getting_started/azure_functions/03_callbacks/host.json index d1a0a92006..7efcaa1400 100644 --- a/python/samples/getting_started/azure_functions/03_callbacks/host.json +++ b/python/samples/getting_started/azure_functions/03_callbacks/host.json @@ -11,5 +11,10 @@ "extensionBundle": { "id": "Microsoft.Azure.Functions.ExtensionBundle", "version": "[4.*, 5.0.0)" + }, + "extensions": { + "durableTask": { + "hubName": "%TASKHUB_NAME%" + } } } diff --git a/python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template b/python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template index 6c98a7d1cb..7d6ef15f82 100644 --- a/python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template +++ b/python/samples/getting_started/azure_functions/03_callbacks/local.settings.json.template @@ -4,7 +4,9 @@ "FUNCTIONS_WORKER_RUNTIME": "python", "AzureWebJobsStorage": "UseDevelopmentStorage=true", "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "TASKHUB_NAME": "default", "AZURE_OPENAI_ENDPOINT": "", - "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "", + "AZURE_OPENAI_API_KEY": "" } } diff --git a/python/samples/getting_started/azure_functions/03_callbacks/requirements.txt b/python/samples/getting_started/azure_functions/03_callbacks/requirements.txt index 8aa2c75d80..6ebb9ede5f 100644 --- a/python/samples/getting_started/azure_functions/03_callbacks/requirements.txt +++ b/python/samples/getting_started/azure_functions/03_callbacks/requirements.txt @@ -1,2 +1,3 @@ agent-framework-azurefunctions -azure-identity \ No newline at end of file +azure-identity +packaging \ No newline at end of file diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md index 816cea8fcb..1e2ee42b8b 100644 --- a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/README.md @@ -9,15 +9,16 @@ preserving the conversation state between runs. - HTTP endpoints for starting the orchestration and polling for status/output ## Prerequisites -- Python 3.11+ -- Azure Functions Core Tools v4 -- Local Azure Storage / Azurite and the Durable Task sidecar running +- Python 3.10+ +- [Azure Functions Core Tools 4.x](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) +- [Azurite storage emulator](https://learn.microsoft.com/azure/storage/common/storage-use-azurite?tabs=visual-studio) running locally so the sample can use `AzureWebJobsStorage=UseDevelopmentStorage=true` - Environment variables configured: - `AZURE_OPENAI_ENDPOINT` - `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` - - `AZURE_OPENAI_API_KEY` (omit if using Azure CLI authentication) -- Copy `local.settings.json.template` to `local.settings.json` and populate those keys (and any storage settings) before running the Functions host. -- Dependencies installed: `pip install -r requirements.txt` + - `AZURE_OPENAI_API_KEY` (required for key-based auth; ensure Azure CLI is logged in if you prefer token-based auth) +- Keep `TASKHUB_NAME` set to `default` unless you intend to change the durable task hub name. +- Copy `local.settings.json.template` to `local.settings.json` and populate those keys—including `AZURE_OPENAI_API_KEY`—along with any storage settings before running the Functions host. +- Install dependencies with `pip install -r requirements.txt` ## Running the Sample 1. Start the Functions host: `func start`. diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json index 4ef61f4578..9e7fd873dd 100644 --- a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/host.json @@ -1,23 +1,12 @@ { "version": "2.0", - "logging": { - "applicationInsights": { - "samplingSettings": { - "isEnabled": true, - "maxTelemetryItemsPerSecond": 20 - } - } - }, "extensionBundle": { - "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "id": "Microsoft.Azure.Functions.ExtensionBundle", "version": "[4.*, 5.0.0)" }, "extensions": { "durableTask": { - "storageProvider": { - "type": "azureManaged", - "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" - } + "hubName": "%TASKHUB_NAME%" } } } diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template index 6c98a7d1cb..7d6ef15f82 100644 --- a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/local.settings.json.template @@ -4,7 +4,9 @@ "FUNCTIONS_WORKER_RUNTIME": "python", "AzureWebJobsStorage": "UseDevelopmentStorage=true", "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "TASKHUB_NAME": "default", "AZURE_OPENAI_ENDPOINT": "", - "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "", + "AZURE_OPENAI_API_KEY": "" } } diff --git a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt index 39ad8a124f..a9774236bb 100644 --- a/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt +++ b/python/samples/getting_started/azure_functions/04_single_agent_orchestration_chaining/requirements.txt @@ -1,2 +1,3 @@ agent-framework-azurefunctions azure-identity +packaging diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md index 5d7f421eff..fc8533a3f2 100644 --- a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/README.md @@ -8,15 +8,16 @@ This sample starts a Durable Functions orchestration that runs two agents in par - HTTP routes (`/api/multiagent/run` and `/api/multiagent/status/{instanceId}`) mirror the .NET sample for parity. ## Prerequisites -- Python 3.11+ -- Azure Functions Core Tools v4 -- Azurite / Azure Storage emulator and Durable Task sidecar running locally +- Python 3.10+ +- [Azure Functions Core Tools 4.x](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) +- [Azurite storage emulator](https://learn.microsoft.com/azure/storage/common/storage-use-azurite?tabs=visual-studio) running locally so the sample can use `AzureWebJobsStorage=UseDevelopmentStorage=true` - Environment variables configured: - `AZURE_OPENAI_ENDPOINT` - `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME` - - `AZURE_OPENAI_API_KEY` (omit when using Azure CLI auth) -- Copy `local.settings.json.template` to `local.settings.json` and fill in those Azure OpenAI values (and storage settings) before starting the Functions host. -- Install dependencies: `pip install -r requirements.txt` + - `AZURE_OPENAI_API_KEY` (required for key-based auth; ensure the Azure CLI is logged in if you rely on token-based auth) +- Keep `TASKHUB_NAME` set to `default` unless you intend to change the durable task hub name. +- Copy `local.settings.json.template` to `local.settings.json` and fill in those Azure OpenAI values—including `AZURE_OPENAI_API_KEY`—along with storage settings before starting the Functions host. +- Install dependencies with `pip install -r requirements.txt` ## Running the Sample 1. Start the Functions host: `func start`. diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json index 4ef61f4578..9e7fd873dd 100644 --- a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/host.json @@ -1,23 +1,12 @@ { "version": "2.0", - "logging": { - "applicationInsights": { - "samplingSettings": { - "isEnabled": true, - "maxTelemetryItemsPerSecond": 20 - } - } - }, "extensionBundle": { - "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "id": "Microsoft.Azure.Functions.ExtensionBundle", "version": "[4.*, 5.0.0)" }, "extensions": { "durableTask": { - "storageProvider": { - "type": "azureManaged", - "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" - } + "hubName": "%TASKHUB_NAME%" } } } diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template index 6c98a7d1cb..7d6ef15f82 100644 --- a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/local.settings.json.template @@ -4,7 +4,9 @@ "FUNCTIONS_WORKER_RUNTIME": "python", "AzureWebJobsStorage": "UseDevelopmentStorage=true", "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "TASKHUB_NAME": "default", "AZURE_OPENAI_ENDPOINT": "", - "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "", + "AZURE_OPENAI_API_KEY": "" } } diff --git a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt index 39ad8a124f..a9774236bb 100644 --- a/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt +++ b/python/samples/getting_started/azure_functions/05_multi_agent_orchestration_concurrency/requirements.txt @@ -1,2 +1,3 @@ agent-framework-azurefunctions azure-identity +packaging diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md index 6d0c62e774..a42bd35899 100644 --- a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/README.md @@ -4,11 +4,12 @@ This sample evaluates incoming emails with a spam detector agent and, when appropriate, drafts a response using an email assistant agent. ## Prerequisites -- Python 3.11 environment with dependencies from `requirements.txt` installed. -- Azure Functions Core Tools (`func`) available on the PATH. -- Environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and either - `AZURE_OPENAI_API_KEY` or an active Azure CLI login. -- Copy `local.settings.json.template` to `local.settings.json` and populate those Azure OpenAI settings (and storage values) before starting the host. +- Python 3.10+ environment with dependencies from `requirements.txt` installed. +- [Azure Functions Core Tools 4.x](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) available on the PATH. +- [Azurite storage emulator](https://learn.microsoft.com/azure/storage/common/storage-use-azurite?tabs=visual-studio) running locally so the sample can use `AzureWebJobsStorage=UseDevelopmentStorage=true`. +- Environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and `AZURE_OPENAI_API_KEY`. +- Keep `TASKHUB_NAME` set to `default` unless you intend to change the durable task hub name. +- Copy `local.settings.json.template` to `local.settings.json` and populate those Azure OpenAI settings—including `AZURE_OPENAI_API_KEY`—along with storage values before starting the host. ## Scenario Overview - Two Azure OpenAI agents share a single deployment: one flags spam, the other drafts replies. diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json index 4ef61f4578..9e7fd873dd 100644 --- a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/host.json @@ -1,23 +1,12 @@ { "version": "2.0", - "logging": { - "applicationInsights": { - "samplingSettings": { - "isEnabled": true, - "maxTelemetryItemsPerSecond": 20 - } - } - }, "extensionBundle": { - "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "id": "Microsoft.Azure.Functions.ExtensionBundle", "version": "[4.*, 5.0.0)" }, "extensions": { "durableTask": { - "storageProvider": { - "type": "azureManaged", - "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" - } + "hubName": "%TASKHUB_NAME%" } } } diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template index 6c98a7d1cb..7d6ef15f82 100644 --- a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/local.settings.json.template @@ -4,7 +4,9 @@ "FUNCTIONS_WORKER_RUNTIME": "python", "AzureWebJobsStorage": "UseDevelopmentStorage=true", "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "TASKHUB_NAME": "default", "AZURE_OPENAI_ENDPOINT": "", - "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "", + "AZURE_OPENAI_API_KEY": "" } } diff --git a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt index 39ad8a124f..a9774236bb 100644 --- a/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt +++ b/python/samples/getting_started/azure_functions/06_multi_agent_orchestration_conditionals/requirements.txt @@ -1,2 +1,3 @@ agent-framework-azurefunctions azure-identity +packaging diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md index 9055c62486..e47b4ffdaf 100644 --- a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/README.md @@ -5,11 +5,12 @@ A single writer agent iterates on content until a human reviewer approves the output or a maximum number of attempts is reached. ## Prerequisites -- Python 3.11 environment with the packages from `requirements.txt` installed. -- Azure Functions Core Tools (`func`) available on the PATH. -- Environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and either - `AZURE_OPENAI_API_KEY` or an active Azure CLI session. -- Copy `local.settings.json.template` to `local.settings.json` and configure those keys (plus storage settings) before starting the Functions host. +- Python 3.10+ environment with the packages from `requirements.txt` installed. +- [Azure Functions Core Tools 4.x](https://learn.microsoft.com/azure/azure-functions/functions-run-local?tabs=windows%2Cpython%2Cv2&pivots=programming-language-python#install-the-azure-functions-core-tools) available on the PATH. +- [Azurite storage emulator](https://learn.microsoft.com/azure/storage/common/storage-use-azurite?tabs=visual-studio) running locally so the sample can use `AzureWebJobsStorage=UseDevelopmentStorage=true`. +- Environment variables `AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and `AZURE_OPENAI_API_KEY`. +- Keep `TASKHUB_NAME` set to `default` unless you intend to change the durable task hub name. +- Copy `local.settings.json.template` to `local.settings.json` and configure those keys—including `AZURE_OPENAI_API_KEY`—plus storage settings before starting the Functions host. ## What It Shows - Identical environment variable usage (`AZURE_OPENAI_ENDPOINT`, diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py index df70dfb9b9..ea120942c3 100644 --- a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/function_app.py @@ -63,7 +63,7 @@ def _create_writer_agent() -> Any: # 3. Activities encapsulate external work for review notifications and publishing. @app.activity_trigger(input_name="content") -def notify_user_for_approval(content: dict[str, Any]) -> None: +def notify_user_for_approval(content: dict) -> None: model = GeneratedContent.model_validate(content) logger.info("NOTIFICATION: Please review the following content for approval:") logger.info("Title: %s", model.title or "(untitled)") @@ -72,7 +72,7 @@ def notify_user_for_approval(content: dict[str, Any]) -> None: @app.activity_trigger(input_name="content") -def publish_content(content: dict[str, Any]) -> None: +def publish_content(content: dict) -> None: model = GeneratedContent.model_validate(content) logger.info("PUBLISHING: Content has been published successfully:") logger.info("Title: %s", model.title or "(untitled)") diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json index 4ef61f4578..9e7fd873dd 100644 --- a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/host.json @@ -1,23 +1,12 @@ { "version": "2.0", - "logging": { - "applicationInsights": { - "samplingSettings": { - "isEnabled": true, - "maxTelemetryItemsPerSecond": 20 - } - } - }, "extensionBundle": { - "id": "Microsoft.Azure.Functions.ExtensionBundle.Preview", + "id": "Microsoft.Azure.Functions.ExtensionBundle", "version": "[4.*, 5.0.0)" }, "extensions": { "durableTask": { - "storageProvider": { - "type": "azureManaged", - "connectionStringName": "DURABLE_TASK_SCHEDULER_CONNECTION_STRING" - } + "hubName": "%TASKHUB_NAME%" } } } diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template index 6c98a7d1cb..7d6ef15f82 100644 --- a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/local.settings.json.template @@ -4,7 +4,9 @@ "FUNCTIONS_WORKER_RUNTIME": "python", "AzureWebJobsStorage": "UseDevelopmentStorage=true", "DURABLE_TASK_SCHEDULER_CONNECTION_STRING": "Endpoint=http://localhost:8080;TaskHub=default;Authentication=None", + "TASKHUB_NAME": "default", "AZURE_OPENAI_ENDPOINT": "", - "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "" + "AZURE_OPENAI_CHAT_DEPLOYMENT_NAME": "", + "AZURE_OPENAI_API_KEY": "" } } diff --git a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt index 39ad8a124f..a9774236bb 100644 --- a/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt +++ b/python/samples/getting_started/azure_functions/07_single_agent_orchestration_hitl/requirements.txt @@ -1,2 +1,3 @@ agent-framework-azurefunctions azure-identity +packaging From 40104e4bf22ab57540c6a7a735fff432ec5bd567 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Tue, 11 Nov 2025 17:36:16 -0600 Subject: [PATCH 13/19] Addressed copilot feedback --- .../agent_framework_azurefunctions/_app.py | 128 +---------- .../agent_framework_azurefunctions/_state.py | 18 +- .../azure_functions/08_mcp_server/README.md | 213 ++++-------------- 3 files changed, 58 insertions(+), 301 deletions(-) diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index 48b7d31c3a..11e28ddcae 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -437,7 +437,8 @@ def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None agent_name: The agent name (used as the MCP tool name) agent_description: Optional description for the MCP tool (shown to clients) """ - mcp_function_name = f"mcptool_{agent_name}" + # Match .NET naming convention: mcptool-{agentName} + mcp_function_name = f"mcptool-{agent_name}" # Define tool properties as JSON (MCP tool parameters) tool_properties = json.dumps( @@ -468,7 +469,7 @@ def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None data_type=func.DataType.UNDEFINED, ) @self.durable_client_input(client_name="client") - async def mcp_tool_handler(context: Any, client: df.DurableOrchestrationClient) -> str: + async def mcp_tool_handler(context: str, client: df.DurableOrchestrationClient) -> str: """Handle MCP tool invocation for the agent.""" return await self._handle_mcp_tool_invocation(agent_name=agent_name, context=context, client=client) @@ -566,109 +567,6 @@ async def _handle_mcp_tool_invocation( logger.error(f"[MCP Tool] Error invoking agent '{agent_name}': {str(exc)}", exc_info=True) raise - async def _get_response_from_entity( - self, - client: df.DurableOrchestrationClient, - entity_instance_id: df.EntityId, - correlation_id: str, - message: str, - session_key: str, - ) -> dict[str, Any]: - """Poll the entity state until a response is available or timeout occurs.""" - import asyncio - - max_retries = 120 - retry_count = 0 - result: dict[str, Any] | None = None - - logger.debug(f"[Polling] Waiting for response with correlation ID: {correlation_id}") - - while retry_count < max_retries: - await asyncio.sleep(0.5) - - result = await self._poll_entity_for_response( - client=client, - entity_instance_id=entity_instance_id, - correlation_id=correlation_id, - message=message, - session_key=session_key, - ) - if result is not None: - break - - logger.debug(f"[Polling] Response not available yet (retry {retry_count})") - retry_count += 1 - - if result is not None: - return result - - logger.warning( - f"[Polling] Response with correlation ID {correlation_id} " - f"not found in time (waited {max_retries * 0.5} seconds)" - ) - return await self._build_timeout_result(message=message, session_key=session_key, correlation_id=correlation_id) - - async def _poll_entity_for_response( - self, - client: df.DurableOrchestrationClient, - entity_instance_id: df.EntityId, - correlation_id: str, - message: str, - session_key: str, - ) -> dict[str, Any] | None: - """Poll entity once for a response matching the correlation ID.""" - result: dict[str, Any] | None = None - try: - state = await self._read_cached_state(client, entity_instance_id) - - if state is None: - return None - - agent_response = state.try_get_agent_response(correlation_id) - if agent_response: - result = self._build_success_result( - response_data=agent_response, - message=message, - session_key=session_key, - correlation_id=correlation_id, - state=state, - ) - logger.debug(f"[Polling] Found response for correlation ID: {correlation_id}") - - except Exception as exc: - logger.warning(f"[Polling] Error reading entity state: {exc}") - - return result - - async def _build_timeout_result(self, message: str, session_key: str, correlation_id: str) -> dict[str, Any]: - """Create the timeout response.""" - return { - "response": "Agent is still processing or timed out...", - "message": message, - SESSION_ID_FIELD: session_key, - "status": "timeout", - "correlationId": correlation_id, - } - - def _build_success_result( - self, - response_data: dict[str, Any], - message: str, - session_key: str, - correlation_id: str, - state: AgentState, - ) -> dict[str, Any]: - """Build the success result returned to the caller.""" - return { - "response": response_data.get("response", ""), - "message": message, - SESSION_ID_FIELD: session_key, - "status": "success", - "correlationId": correlation_id, - "message_count": state.message_count, - "timestamp": response_data.get("timestamp"), - } - def _setup_health_route(self) -> None: """Register the optional health check route.""" @@ -705,25 +603,6 @@ def _build_function_name(agent_name: str, suffix: str) -> str: return f"{sanitized}_{suffix}" - async def _read_cached_state( - self, - client: df.DurableOrchestrationClient, - entity_instance_id: df.EntityId, - ) -> AgentState | None: - state_response = await client.read_entity_state(entity_instance_id) - if not state_response or not state_response.entity_exists: - return None - - state_payload = state_response.entity_state - if not isinstance(state_payload, dict): - return None - - typed_state_payload = cast(dict[str, Any], state_payload) - - agent_state = AgentState() - agent_state.restore_state(typed_state_payload) - return agent_state - async def _get_response_from_entity( self, client: df.DurableOrchestrationClient, @@ -819,6 +698,7 @@ def _build_success_result( "status": "success", "message_count": response_data.get("message_count", state.message_count), "correlationId": correlation_id, + "timestamp": response_data.get("timestamp"), } def _build_request_data( diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_state.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_state.py index c15d9fe96d..0f54cd8a37 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_state.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_state.py @@ -89,8 +89,22 @@ def add_assistant_message( ) def get_chat_messages(self) -> list[ChatMessage]: - """Return a copy of the full conversation history.""" - return list(self.conversation_history) + """Return a copy of the full conversation history. + + Note: additional_properties are stripped from the returned messages to avoid + sending metadata to the LLM API, which doesn't support it in the messages array. + The original messages in conversation_history retain their additional_properties. + """ + # Return messages without additional_properties to avoid API errors + # Azure OpenAI doesn't support metadata in the messages array + return [ + ChatMessage( + role=msg.role, + contents=msg.contents, + # Intentionally omit additional_properties + ) + for msg in self.conversation_history + ] def try_get_agent_response(self, correlation_id: str) -> dict[str, Any] | None: """Get an agent response by correlation ID. diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md index 61a997bca7..53ed11b7c0 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/README.md +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -134,192 +134,55 @@ Expected response: } ``` -## Learn More - -- [Model Context Protocol Documentation](https://modelcontextprotocol.io/) -- [Microsoft Agent Framework Documentation](https://github.com/Azure/agent-framework) -- [Azure Functions Documentation](https://learn.microsoft.com/azure/azure-functions/) Sample (Python) - -This sample demonstrates how to expose AI agents as MCP (Model Context Protocol) tools using the Durable Extension for Agent Framework. The sample creates a weather agent and exposes it via both standard HTTP endpoints and MCP protocol endpoints for use with MCP-compatible clients like Claude Desktop, Cursor, or VSCode. - -## Key Concepts Demonstrated - -- Defining an AI agent with the Microsoft Agent Framework and exposing it through MCP protocol. -- Using `MCPServerExtension` to automatically generate MCP-compliant endpoints. -- Supporting both direct HTTP API access and MCP JSON-RPC protocol for the same agent. -- Session-based conversation management compatible with MCP clients. -- Dual-mode access: standard HTTP triggers (`/api/agents/{agent_name}/run`) and MCP endpoints (`/api/mcp/v1/*`). - -## Environment Setup - -### 1. Create and activate a virtual environment - -**Windows (PowerShell):** -```powershell -python -m venv .venv -.venv\Scripts\Activate.ps1 -``` - -**Linux/macOS:** -```bash -python -m venv .venv -source .venv/bin/activate -``` - -### 2. Install dependencies - -See the [README.md](../README.md) file in the parent directory for more information on how to configure the environment, including how to install and run common sample dependencies. - -### 3. Configure local settings - -Copy `local.settings.json.template` to `local.settings.json`, then set the Azure OpenAI values (`AZURE_OPENAI_ENDPOINT`, `AZURE_OPENAI_CHAT_DEPLOYMENT_NAME`, and optionally `AZURE_OPENAI_API_KEY`) to match your environment. - -## Running the Sample - -With the environment setup and function app running, you can test the sample using either standard HTTP endpoints or MCP protocol endpoints. - -You can use the `demo.http` file to send requests, or command line tools as shown below. - -### Test via Standard HTTP Endpoint - -Bash (Linux/macOS/WSL): - -```bash -curl -X POST http://localhost:7071/api/agents/WeatherAgent/run \ - -H "Content-Type: application/json" \ - -d '{"message": "What is the weather in Seattle?"}' -``` - -PowerShell: - -```powershell -Invoke-RestMethod -Method Post ` - -Uri http://localhost:7071/api/agents/WeatherAgent/run ` - -ContentType application/json ` - -Body '{"message": "What is the weather in Seattle?"}' -``` - -Expected response: -```json -{ - "status": "accepted", - "response": "Agent request accepted", - "message": "What is the weather in Seattle?", - "conversation_id": "", - "correlation_id": "" -} -``` - -### Test MCP Endpoints - -List available MCP tools: - -Bash (Linux/macOS/WSL): - -```bash -curl http://localhost:7071/api/mcp/v1/tools -``` - -PowerShell: - -```powershell -Invoke-RestMethod -Uri http://localhost:7071/api/mcp/v1/tools -``` - -Call agent via MCP protocol: - -Bash (Linux/macOS/WSL): - -```bash -curl -X POST http://localhost:7071/api/mcp/v1/call \ - -H "Content-Type: application/json" \ - -d '{"name": "WeatherAgent", "arguments": {"message": "What is the weather in Seattle?"}}' -``` - -PowerShell: - -```powershell -Invoke-RestMethod -Method Post ` - -Uri http://localhost:7071/api/mcp/v1/call ` - -ContentType application/json ` - -Body '{"name": "WeatherAgent", "arguments": {"message": "What is the weather in Seattle?"}}' -``` - -## Using with MCP Clients - -Once the function app is running, you can connect MCP-compatible clients to interact with your agents. +## Code Structure -### Claude Desktop +The sample shows how to enable MCP tool triggers with flexible agent configuration: -Add to your Claude Desktop configuration (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS or `%APPDATA%\Claude\claude_desktop_config.json` on Windows): +```python +from agent_framework.azurefunctions import AgentFunctionApp +from agent_framework.azure import AzureOpenAIChatClient -```json -{ - "mcpServers": { - "weather-agent": { - "url": "http://localhost:7071/api/mcp/v1" - } - } -} -``` +# Create Azure OpenAI Chat Client +chat_client = AzureOpenAIChatClient() -### VSCode/Cursor +# Define agents with different roles +joker_agent = chat_client.create_agent( + name="Joker", + instructions="You are good at telling jokes.", +) -Configure your MCP client extension settings to connect to `http://localhost:7071/api/mcp/v1`. +stock_agent = chat_client.create_agent( + name="StockAdvisor", + instructions="Check stock prices.", +) -## Code Structure +plant_agent = chat_client.create_agent( + name="PlantAdvisor", + instructions="Recommend plants.", + description="Get plant recommendations.", +) -The sample shows how to enable MCP protocol support with minimal code changes: +# Create the AgentFunctionApp +app = AgentFunctionApp(enable_health_check=True) -```python -# Create your agent as usual -weather_agent = _create_weather_agent() +# Configure agents with different trigger combinations: +# HTTP trigger only (default) +app.add_agent(joker_agent) -# Initialize the Function app -app = AgentFunctionApp(agents=[weather_agent]) +# MCP tool trigger only (HTTP disabled) +app.add_agent(stock_agent, enable_http_endpoint=False, enable_mcp_tool_trigger=True) -# Enable MCP with just 2 lines -mcp = MCPServerExtension(app, [weather_agent]) -app.register_mcp_server(mcp) +# Both HTTP and MCP tool triggers enabled +app.add_agent(plant_agent, enable_http_endpoint=True, enable_mcp_tool_trigger=True) ``` -This automatically creates the following endpoints: -- `POST /api/agents/WeatherAgent/run` - Standard HTTP endpoint -- `POST /api/mcp/v1` - MCP JSON-RPC handler -- `GET /api/mcp/v1/tools` - List available MCP tools -- `POST /api/mcp/v1/call` - Direct MCP tool invocation - -## Expected Output +This automatically creates the following endpoints based on agent configuration: +- `POST /api/agents/{AgentName}/run` - HTTP endpoint (when `enable_http_endpoint=True`) +- MCP tool triggers for agents with `enable_mcp_tool_trigger=True` +- `GET /api/health` - Health check endpoint showing agent configurations -When you call the agent via the standard HTTP endpoint, you receive a 202 Accepted response: - -```json -{ - "status": "accepted", - "response": "Agent request accepted", - "message": "What is the weather in Seattle?", - "conversation_id": "", - "correlation_id": "" -} -``` - -When you list MCP tools, you receive the agent's metadata: +## Learn More -```json -{ - "tools": [ - { - "name": "WeatherAgent", - "description": "A helpful weather assistant", - "inputSchema": { - "type": "object", - "properties": { - "message": {"type": "string"}, - "sessionId": {"type": "string"} - }, - "required": ["message"] - } - } - ] -} -``` +- [Model Context Protocol Documentation](https://modelcontextprotocol.io/) +- [Microsoft Agent Framework Documentation](https://github.com/Azure/agent-framework) +- [Azure Functions Documentation](https://learn.microsoft.com/azure/azure-functions/) From 1fbbbf0c7277d5e6f0c56b33efefc9913d369680 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Fri, 21 Nov 2025 12:50:25 -0600 Subject: [PATCH 14/19] Minor refactoring and added tests --- .../agent_framework_azurefunctions/_app.py | 99 ++++--- .../_entities.py | 4 - .../agent_framework_azurefunctions/_models.py | 9 - .../packages/azurefunctions/tests/test_app.py | 273 +++++++++++++++++- .../azurefunctions/tests/test_state.py | 109 ------- .../azurefunctions/__init__.py | 29 -- .../azurefunctions/__init__.pyi | 17 -- .../azure_functions/08_mcp_server/README.md | 12 +- 8 files changed, 335 insertions(+), 217 deletions(-) delete mode 100644 python/packages/azurefunctions/tests/test_state.py delete mode 100644 python/packages/core/agent_framework/azurefunctions/__init__.py delete mode 100644 python/packages/core/agent_framework/azurefunctions/__init__.pyi diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index c430a7e378..606adb6b67 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -126,6 +126,7 @@ def my_orchestration(context): agents: Dictionary of agent name to AgentProtocol instance enable_health_check: Whether health check endpoint is enabled enable_http_endpoints: Whether HTTP endpoints are created for agents + enable_mcp_tool_endpoint: Whether MCP tool endpoints are created for agents max_poll_retries: Maximum polling attempts when waiting for responses poll_interval_seconds: Delay (seconds) between polling attempts """ @@ -133,7 +134,7 @@ def my_orchestration(context): agents: dict[str, AgentProtocol] enable_health_check: bool enable_http_endpoints: bool - enable_mcp_tool_triggers: bool + enable_mcp_tool_endpoint: bool agent_http_endpoint_flags: dict[str, bool] agent_mcp_tool_flags: dict[str, bool] @@ -145,7 +146,7 @@ def __init__( enable_http_endpoints: bool = True, max_poll_retries: int = DEFAULT_MAX_POLL_RETRIES, poll_interval_seconds: float = DEFAULT_POLL_INTERVAL_SECONDS, - enable_mcp_tool_triggers: bool = False, + enable_mcp_tool_endpoint: bool = False, default_callback: AgentResponseCallbackProtocol | None = None, ): """Initialize the AgentFunctionApp. @@ -154,6 +155,8 @@ def __init__( :param http_auth_level: HTTP authentication level (default: ``func.AuthLevel.FUNCTION``). :param enable_health_check: Enable the built-in health check endpoint (default: ``True``). :param enable_http_endpoints: Enable HTTP endpoints for agents (default: ``True``). + :param enable_mcp_tool_endpoint: Enable MCP tool endpoints for agents (default: ``False``). + When enabled, agents will be exposed as MCP tools that can be invoked by MCP-compatible clients. :param max_poll_retries: Maximum polling attempts when waiting for a response. Defaults to ``DEFAULT_MAX_POLL_RETRIES``. :param poll_interval_seconds: Delay in seconds between polling attempts. @@ -170,11 +173,10 @@ def __init__( # Initialize agents dictionary self.agents = {} self.agent_http_endpoint_flags = {} + self.agent_mcp_tool_flags = {} self.enable_health_check = enable_health_check self.enable_http_endpoints = enable_http_endpoints - self.enable_mcp_tool_triggers = enable_mcp_tool_triggers - self.agent_http_endpoint_flags = {} - self.agent_mcp_tool_flags = {} + self.enable_mcp_tool_endpoint = enable_mcp_tool_endpoint self.default_callback = default_callback try: @@ -206,7 +208,7 @@ def add_agent( agent: AgentProtocol, callback: AgentResponseCallbackProtocol | None = None, enable_http_endpoint: bool | None = None, - enable_mcp_tool_trigger: bool | None = None, + enable_mcp_tool_endpoint: bool | None = None, ) -> None: """Add an agent to the function app after initialization. @@ -216,8 +218,8 @@ def add_agent( callback: Optional callback invoked during agent execution enable_http_endpoint: Optional flag to enable/disable HTTP endpoint for this agent. If None, uses the app-level enable_http_endpoints setting. - enable_mcp_tool_trigger: Optional flag to enable/disable MCP tool trigger for this agent. - If None, uses the app-level enable_mcp_tool_triggers setting. + enable_mcp_tool_endpoint: Optional flag to enable/disable MCP tool endpoint for this agent. + If None, uses the app-level enable_mcp_tool_endpoint setting. Raises: ValueError: If the agent doesn't have a 'name' attribute or if an agent @@ -234,10 +236,10 @@ def add_agent( effective_enable_http_endpoint = ( self.enable_http_endpoints if enable_http_endpoint is None else self._coerce_to_bool(enable_http_endpoint) ) - effective_enable_mcp = ( - self.enable_mcp_tool_triggers - if enable_mcp_tool_trigger is None - else self._coerce_to_bool(enable_mcp_tool_trigger) + effective_enable_mcp_endpoint = ( + self.enable_mcp_tool_endpoint + if enable_mcp_tool_endpoint is None + else self._coerce_to_bool(enable_mcp_tool_endpoint) ) logger.debug(f"[AgentFunctionApp] Adding agent: {name}") @@ -247,16 +249,18 @@ def add_agent( "enabled" if effective_enable_http_endpoint else "disabled", name, ) - logger.debug(f"[AgentFunctionApp] MCP tool trigger: {'enabled' if effective_enable_mcp else 'disabled'}") + logger.debug( + f"[AgentFunctionApp] MCP tool trigger: {'enabled' if effective_enable_mcp_endpoint else 'disabled'}" + ) self.agents[name] = agent - self.agent_mcp_tool_flags[name] = effective_enable_mcp + self.agent_mcp_tool_flags[name] = effective_enable_mcp_endpoint self.agent_http_endpoint_flags[name] = effective_enable_http_endpoint effective_callback = callback or self.default_callback self._setup_agent_functions( - agent, name, effective_callback, effective_enable_http_endpoint, effective_enable_mcp + agent, name, effective_callback, effective_enable_http_endpoint, effective_enable_mcp_endpoint ) logger.debug(f"[AgentFunctionApp] Agent '{name}' added successfully") @@ -291,7 +295,7 @@ def _setup_agent_functions( agent_name: str, callback: AgentResponseCallbackProtocol | None, enable_http_endpoint: bool, - enable_mcp_tool_trigger: bool, + enable_mcp_tool_endpoint: bool, ) -> None: """Set up the HTTP trigger, entity, and MCP tool trigger for a specific agent. @@ -300,7 +304,7 @@ def _setup_agent_functions( agent_name: The name to use for routing and entity registration callback: Optional callback to receive response updates enable_http_endpoint: Whether to create HTTP endpoint - enable_mcp_tool_trigger: Whether to create MCP tool trigger + enable_mcp_tool_endpoint: Whether to create MCP tool endpoint """ logger.debug(f"[AgentFunctionApp] Setting up functions for agent '{agent_name}'...") @@ -313,8 +317,7 @@ def _setup_agent_functions( ) self._setup_agent_entity(agent, agent_name, callback) - # Set up MCP tool trigger if enabled - if enable_mcp_tool_trigger: + if enable_mcp_tool_endpoint: agent_description = getattr(agent, "description", None) self._setup_mcp_tool_trigger(agent_name, agent_description) else: @@ -488,8 +491,7 @@ def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None agent_name: The agent name (used as the MCP tool name) agent_description: Optional description for the MCP tool (shown to clients) """ - # Match .NET naming convention: mcptool-{agentName} - mcp_function_name = f"mcptool-{agent_name}" + mcp_function_name = self._build_function_name(agent_name, "mcptool") # Define tool properties as JSON (MCP tool parameters) tool_properties = json.dumps([ @@ -509,23 +511,36 @@ def _setup_mcp_tool_trigger(self, agent_name: str, agent_description: str | None }, ]) - @self.function_name(mcp_function_name) - @self.mcp_tool_trigger( + function_name_decorator = self.function_name(mcp_function_name) + mcp_tool_decorator = self.mcp_tool_trigger( arg_name="context", tool_name=agent_name, description=agent_description or f"Interact with {agent_name} agent", tool_properties=tool_properties, data_type=func.DataType.UNDEFINED, ) - @self.durable_client_input(client_name="client") + durable_client_decorator = self.durable_client_input(client_name="client") + + @function_name_decorator + @mcp_tool_decorator + @durable_client_decorator async def mcp_tool_handler(context: str, client: df.DurableOrchestrationClient) -> str: - """Handle MCP tool invocation for the agent.""" + """Handle MCP tool invocation for the agent. + + Args: + context: MCP tool invocation context containing arguments (query, threadId) + client: Durable orchestration client for entity communication + + Returns: + Agent response text + """ + logger.debug("[MCP Tool Trigger] Received invocation for agent: %s", agent_name) return await self._handle_mcp_tool_invocation(agent_name=agent_name, context=context, client=client) - logger.info(f"[AgentFunctionApp] Registered MCP tool trigger: {agent_name}") + logger.debug("[AgentFunctionApp] Registered MCP tool trigger for agent: %s", agent_name) async def _handle_mcp_tool_invocation( - self, agent_name: str, context: Any, client: df.DurableOrchestrationClient + self, agent_name: str, context: str | dict[str, Any], client: df.DurableOrchestrationClient ) -> str: """Handle an MCP tool invocation. @@ -533,25 +548,29 @@ async def _handle_mcp_tool_invocation( Args: agent_name: Name of the agent being invoked - context: MCP tool invocation context containing arguments + context: MCP tool invocation context, either as a JSON string or pre-parsed dict client: Durable orchestration client Returns: Agent response text Raises: - ValueError: If required arguments are missing + ValueError: If required arguments are missing or context is invalid JSON RuntimeError: If agent execution fails """ + logger.debug("[MCP Tool Handler] Processing invocation for agent '%s'", agent_name) + # Parse context if it's a JSON string if isinstance(context, str): try: - context = json.loads(context) + parsed_context = json.loads(context) except json.JSONDecodeError as e: raise ValueError(f"Invalid MCP context format: {e}") from e + else: + parsed_context = context # Extract arguments from MCP context - arguments = context.get("arguments", {}) if isinstance(context, dict) else {} + arguments = parsed_context.get("arguments", {}) if isinstance(parsed_context, dict) else {} # Validate required 'query' argument query = arguments.get("query") @@ -585,9 +604,8 @@ async def _handle_mcp_tool_invocation( request_response_format=REQUEST_RESPONSE_FORMAT_TEXT, ) - logger.info( - f"[MCP Tool] Invoking agent '{agent_name}' with query: {query[:50]}{'...' if len(query) > 50 else ''}" - ) + query_preview = query[:50] + "..." if len(query) > 50 else query + logger.info("[MCP Tool] Invoking agent '%s' with query: %s", agent_name, query_preview) # Signal entity to run agent await client.signal_entity(entity_instance_id, "run_agent", run_request) @@ -605,14 +623,14 @@ async def _handle_mcp_tool_invocation( # Extract and return response text if result.get("status") == "success": response_text = str(result.get("response", "No response")) - logger.info(f"[MCP Tool] Agent '{agent_name}' responded successfully") + logger.info("[MCP Tool] Agent '%s' responded successfully", agent_name) return response_text error_msg = result.get("error", "Unknown error") - logger.error(f"[MCP Tool] Agent '{agent_name}' execution failed: {error_msg}") + logger.error("[MCP Tool] Agent '%s' execution failed: %s", agent_name, error_msg) raise RuntimeError(f"Agent execution failed: {error_msg}") except Exception as exc: - logger.error(f"[MCP Tool] Error invoking agent '{agent_name}': {exc!s}", exc_info=True) + logger.error("[MCP Tool] Error invoking agent '%s': %s", agent_name, exc, exc_info=True) raise def _setup_health_route(self) -> None: @@ -630,7 +648,7 @@ def health_check(req: func.HttpRequest) -> func.HttpResponse: name, self.enable_http_endpoints, ), - "mcp_tool_enabled": self.agent_mcp_tool_flags.get(name, self.enable_mcp_tool_triggers), + "mcp_tool_enabled": self.agent_mcp_tool_flags.get(name, self.enable_mcp_tool_endpoint), } for name, agent in self.agents.items() ] @@ -918,8 +936,9 @@ def _extract_normalized_headers(self, req: func.HttpRequest) -> dict[str, str]: @staticmethod def _extract_content_type(headers: dict[str, str]) -> str: - """Extract the content-type header value.""" - return headers.get("content-type", "").lower() + """Return the normalized content-type value (without parameters).""" + content_type_header = headers.get("content-type", "") + return content_type_header.split(";")[0].strip().lower() if content_type_header else "" def _select_body_parser( self, diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py index 549a5a10e2..a79269bd4d 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_entities.py @@ -166,7 +166,6 @@ async def run_agent( response_text = None structured_response = None - response_str: str | None = None try: @@ -425,11 +424,8 @@ async def _entity_coroutine(context: df.DurableEntityContext) -> None: if operation == "run_agent": input_data: Any = context.get_input() - # Support both old format (message + conversation_id) and new format (RunRequest dict) - # This provides backward compatibility request: str | dict[str, Any] if isinstance(input_data, dict) and "message" in input_data: - # Input can be either old format or new RunRequest format request = cast(dict[str, Any], input_data) else: # Fall back to treating input as message string diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py index 551aaf65fb..19f175a485 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_models.py @@ -11,7 +11,6 @@ import uuid from collections.abc import MutableMapping from dataclasses import dataclass -from enum import Enum from importlib import import_module from typing import TYPE_CHECKING, Any, cast @@ -33,14 +32,6 @@ _PydanticBaseModel = _RuntimeBaseModel -class ChatRole(str, Enum): - """Chat message role enum.""" - - USER = "user" - SYSTEM = "system" - ASSISTANT = "assistant" - - @dataclass class AgentSessionId: """Represents an agent session ID, which is used to identify a long-running agent session. diff --git a/python/packages/azurefunctions/tests/test_app.py b/python/packages/azurefunctions/tests/test_app.py index ebf6eef3e6..ba7faf5831 100644 --- a/python/packages/azurefunctions/tests/test_app.py +++ b/python/packages/azurefunctions/tests/test_app.py @@ -87,7 +87,7 @@ def test_add_agent_uses_specific_callback(self) -> None: app.add_agent(mock_agent, callback=specific_callback) setup_mock.assert_called_once() - _, _, passed_callback, enable_http_endpoint = setup_mock.call_args[0] + _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_endpoint = setup_mock.call_args[0] assert passed_callback is specific_callback assert enable_http_endpoint is True @@ -103,7 +103,7 @@ def test_default_callback_applied_when_no_specific(self) -> None: app.add_agent(mock_agent) setup_mock.assert_called_once() - _, _, passed_callback, enable_http_endpoint = setup_mock.call_args[0] + _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_endpoint = setup_mock.call_args[0] assert passed_callback is default_callback assert enable_http_endpoint is True @@ -118,7 +118,7 @@ def test_init_with_agents_uses_default_callback(self) -> None: AgentFunctionApp(agents=[mock_agent], default_callback=default_callback) setup_mock.assert_called_once() - _, _, passed_callback, enable_http_endpoint = setup_mock.call_args[0] + _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_endpoint = setup_mock.call_args[0] assert passed_callback is default_callback assert enable_http_endpoint is True @@ -797,5 +797,272 @@ async def test_http_run_rejects_empty_message(self) -> None: client.signal_entity.assert_not_called() +class TestMCPToolEndpoint: + """Test suite for MCP tool endpoint functionality.""" + + def test_init_with_mcp_tool_endpoint_enabled(self) -> None: + """Test initialization with MCP tool endpoint enabled.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent], enable_mcp_tool_endpoint=True) + + assert app.enable_mcp_tool_endpoint is True + + def test_init_with_mcp_tool_endpoint_disabled(self) -> None: + """Test initialization with MCP tool endpoint disabled (default).""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + + assert app.enable_mcp_tool_endpoint is False + + def test_add_agent_with_mcp_tool_trigger_enabled(self) -> None: + """Test adding an agent with MCP tool trigger explicitly enabled.""" + mock_agent = Mock() + mock_agent.name = "MCPAgent" + mock_agent.description = "Test MCP Agent" + + with patch.object(AgentFunctionApp, "_setup_agent_functions") as setup_mock: + app = AgentFunctionApp() + app.add_agent(mock_agent, enable_mcp_tool_endpoint=True) + + setup_mock.assert_called_once() + _, _, _, _, enable_mcp = setup_mock.call_args[0] + assert enable_mcp is True + + def test_add_agent_with_mcp_tool_trigger_disabled(self) -> None: + """Test adding an agent with MCP tool trigger explicitly disabled.""" + mock_agent = Mock() + mock_agent.name = "NoMCPAgent" + + with patch.object(AgentFunctionApp, "_setup_agent_functions") as setup_mock: + app = AgentFunctionApp(enable_mcp_tool_endpoint=True) + app.add_agent(mock_agent, enable_mcp_tool_endpoint=False) + + setup_mock.assert_called_once() + _, _, _, _, enable_mcp = setup_mock.call_args[0] + assert enable_mcp is False + + def test_agent_override_enables_mcp_when_app_disabled(self) -> None: + """Test that per-agent override can enable MCP when app-level is disabled.""" + mock_agent = Mock() + mock_agent.name = "OverrideAgent" + + with patch.object(AgentFunctionApp, "_setup_mcp_tool_trigger") as mcp_setup_mock: + app = AgentFunctionApp(enable_mcp_tool_endpoint=False) + app.add_agent(mock_agent, enable_mcp_tool_endpoint=True) + + mcp_setup_mock.assert_called_once() + + def test_agent_override_disables_mcp_when_app_enabled(self) -> None: + """Test that per-agent override can disable MCP when app-level is enabled.""" + mock_agent = Mock() + mock_agent.name = "NoOverrideAgent" + + with patch.object(AgentFunctionApp, "_setup_mcp_tool_trigger") as mcp_setup_mock: + app = AgentFunctionApp(enable_mcp_tool_endpoint=True) + app.add_agent(mock_agent, enable_mcp_tool_endpoint=False) + + mcp_setup_mock.assert_not_called() + + def test_setup_mcp_tool_trigger_registers_decorators(self) -> None: + """Test that _setup_mcp_tool_trigger registers the correct decorators.""" + mock_agent = Mock() + mock_agent.name = "MCPToolAgent" + mock_agent.description = "Test MCP Tool" + + app = AgentFunctionApp() + + # Mock the decorators + with ( + patch.object(app, "function_name") as func_name_mock, + patch.object(app, "mcp_tool_trigger") as mcp_trigger_mock, + patch.object(app, "durable_client_input") as client_mock, + ): + # Setup mock decorator chain + func_name_mock.return_value = lambda f: f + mcp_trigger_mock.return_value = lambda f: f + client_mock.return_value = lambda f: f + + app._setup_mcp_tool_trigger(mock_agent.name, mock_agent.description) + + # Verify decorators were called with correct parameters + func_name_mock.assert_called_once() + mcp_trigger_mock.assert_called_once_with( + arg_name="context", + tool_name=mock_agent.name, + description=mock_agent.description, + tool_properties=ANY, + data_type=func.DataType.UNDEFINED, + ) + client_mock.assert_called_once_with(client_name="client") + + def test_setup_mcp_tool_trigger_uses_default_description(self) -> None: + """Test that _setup_mcp_tool_trigger uses default description when none provided.""" + mock_agent = Mock() + mock_agent.name = "NoDescAgent" + + app = AgentFunctionApp() + + with ( + patch.object(app, "function_name", return_value=lambda f: f), + patch.object(app, "mcp_tool_trigger") as mcp_trigger_mock, + patch.object(app, "durable_client_input", return_value=lambda f: f), + ): + mcp_trigger_mock.return_value = lambda f: f + + app._setup_mcp_tool_trigger(mock_agent.name, None) + + # Verify default description was used + call_args = mcp_trigger_mock.call_args + assert call_args[1]["description"] == f"Interact with {mock_agent.name} agent" + + async def test_handle_mcp_tool_invocation_with_json_string(self) -> None: + """Test _handle_mcp_tool_invocation with JSON string context.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + client = AsyncMock() + + # Mock the entity response + mock_state = Mock() + mock_state.entity_state = { + "schemaVersion": "1.0.0", + "data": {"conversationHistory": []}, + } + client.read_entity_state.return_value = mock_state + + # Create JSON string context + context = '{"arguments": {"query": "test query", "threadId": "test-thread"}}' + + with patch.object(app, "_get_response_from_entity") as get_response_mock: + get_response_mock.return_value = {"status": "success", "response": "Test response"} + + result = await app._handle_mcp_tool_invocation("TestAgent", context, client) + + assert result == "Test response" + get_response_mock.assert_called_once() + + async def test_handle_mcp_tool_invocation_with_dict_context(self) -> None: + """Test _handle_mcp_tool_invocation with pre-parsed dict context.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + client = AsyncMock() + + # Mock the entity response + mock_state = Mock() + mock_state.entity_state = { + "schemaVersion": "1.0.0", + "data": {"conversationHistory": []}, + } + client.read_entity_state.return_value = mock_state + + # Create dict context + context = {"arguments": {"query": "test query", "threadId": "test-thread"}} + + with patch.object(app, "_get_response_from_entity") as get_response_mock: + get_response_mock.return_value = {"status": "success", "response": "Test response"} + + result = await app._handle_mcp_tool_invocation("TestAgent", context, client) + + assert result == "Test response" + get_response_mock.assert_called_once() + + async def test_handle_mcp_tool_invocation_missing_query(self) -> None: + """Test _handle_mcp_tool_invocation raises ValueError when query is missing.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + client = AsyncMock() + + # Context missing query + context = {"arguments": {}} + + with pytest.raises(ValueError, match="missing required 'query' argument"): + await app._handle_mcp_tool_invocation("TestAgent", context, client) + + async def test_handle_mcp_tool_invocation_invalid_json(self) -> None: + """Test _handle_mcp_tool_invocation raises ValueError for invalid JSON.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + client = AsyncMock() + + # Invalid JSON string + context = "not valid json" + + with pytest.raises(ValueError, match="Invalid MCP context format"): + await app._handle_mcp_tool_invocation("TestAgent", context, client) + + async def test_handle_mcp_tool_invocation_runtime_error(self) -> None: + """Test _handle_mcp_tool_invocation raises RuntimeError when agent fails.""" + mock_agent = Mock() + mock_agent.name = "TestAgent" + + app = AgentFunctionApp(agents=[mock_agent]) + client = AsyncMock() + + # Mock the entity response + mock_state = Mock() + mock_state.entity_state = { + "schemaVersion": "1.0.0", + "data": {"conversationHistory": []}, + } + client.read_entity_state.return_value = mock_state + + context = '{"arguments": {"query": "test query"}}' + + with patch.object(app, "_get_response_from_entity") as get_response_mock: + get_response_mock.return_value = {"status": "failed", "error": "Agent error"} + + with pytest.raises(RuntimeError, match="Agent execution failed"): + await app._handle_mcp_tool_invocation("TestAgent", context, client) + + def test_health_check_includes_mcp_tool_enabled(self) -> None: + """Test that health check endpoint includes mcp_tool_enabled field.""" + mock_agent = Mock() + mock_agent.name = "HealthAgent" + + app = AgentFunctionApp(agents=[mock_agent], enable_mcp_tool_endpoint=True) + app.agent_mcp_tool_flags["HealthAgent"] = True + + # Capture the health check handler function + captured_handler = None + + def capture_decorator(*args, **kwargs): + def decorator(func): + nonlocal captured_handler + captured_handler = func + return func + + return decorator + + with patch.object(app, "route", side_effect=capture_decorator): + app._setup_health_route() + + # Verify we captured the handler + assert captured_handler is not None + + # Call the health handler + request = Mock() + response = captured_handler(request) + + # Verify response includes mcp_tool_enabled + import json + + body = json.loads(response.get_body().decode("utf-8")) + assert "agents" in body + assert len(body["agents"]) == 1 + assert "mcp_tool_enabled" in body["agents"][0] + assert body["agents"][0]["mcp_tool_enabled"] is True + + if __name__ == "__main__": pytest.main([__file__, "-v", "--tb=short"]) diff --git a/python/packages/azurefunctions/tests/test_state.py b/python/packages/azurefunctions/tests/test_state.py deleted file mode 100644 index abe5f9aa7a..0000000000 --- a/python/packages/azurefunctions/tests/test_state.py +++ /dev/null @@ -1,109 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -"""Unit tests for AgentState correlation ID tracking.""" - -from unittest.mock import Mock - -import pytest -from agent_framework import AgentRunResponse -from agent_framework_azurefunctions._state import AgentState - - -class TestAgentStateCorrelationId: - """Test suite for AgentState correlation ID tracking.""" - - def _create_mock_response(self, text: str = "Response") -> Mock: - """Create a mock AgentRunResponse with the provided text.""" - mock_response = Mock(spec=AgentRunResponse) - mock_response.to_dict.return_value = {"text": text, "messages": []} - return mock_response - - def test_add_assistant_message_with_correlation_id(self) -> None: - state = AgentState() - state.add_user_message("Hello", correlation_id="corr-123-request") - state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") - message_metadata = state.conversation_history[-1].additional_properties or {} - assert message_metadata.get("correlation_id") == "corr-123" - - response_data = state.try_get_agent_response("corr-123") - assert response_data is not None - assert response_data["content"] == "Response" - assert response_data["agent_response"] == {"text": "Response", "messages": []} - - def test_try_get_agent_response_returns_response(self) -> None: - state = AgentState() - state.add_user_message("Hello", correlation_id="corr-200-request") - state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-456") - - response_data = state.try_get_agent_response("corr-456") - - assert response_data is not None - assert response_data["content"] == "Response" - - def test_try_get_agent_response_returns_none_for_missing_id(self) -> None: - state = AgentState() - state.add_user_message("Hello", correlation_id="corr-300-request") - state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") - - assert state.try_get_agent_response("non-existent") is None - - def test_multiple_responses_tracked_separately(self) -> None: - state = AgentState() - - for index in range(3): - state.add_user_message(f"Message {index}", correlation_id=f"corr-{index}-request") - state.add_assistant_message( - f"Response {index}", - self._create_mock_response(text=f"Response {index}"), - correlation_id=f"corr-{index}", - ) - - for index in range(3): - payload = state.try_get_agent_response(f"corr-{index}") - assert payload is not None - assert payload["content"] == f"Response {index}" - - def test_add_assistant_message_without_correlation_id(self) -> None: - state = AgentState() - state.add_user_message("Hello", correlation_id="corr-400-request") - state.add_assistant_message("Response", self._create_mock_response()) - - assert state.try_get_agent_response("missing") is None - assert state.last_response == "Response" - - def test_to_dict_does_not_duplicate_agent_responses(self) -> None: - state = AgentState() - state.add_user_message("Hello", correlation_id="corr-500-request") - state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") - - state_snapshot = state.to_dict() - - assert "agent_responses" not in state_snapshot - metadata = state_snapshot["conversation_history"][-1]["additional_properties"] - assert metadata["correlation_id"] == "corr-123" - - def test_restore_state_preserves_agent_response_lookup(self) -> None: - state = AgentState() - state.add_user_message("Hello", correlation_id="corr-600-request") - state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") - - restored_state = AgentState() - restored_state.restore_state(state.to_dict()) - - payload = restored_state.try_get_agent_response("corr-123") - assert payload is not None - assert payload["content"] == "Response" - - def test_reset_clears_conversation_history(self) -> None: - state = AgentState() - state.add_user_message("Hello", correlation_id="corr-700-request") - state.add_assistant_message("Response", self._create_mock_response(), correlation_id="corr-123") - - state.reset() - - assert len(state.conversation_history) == 0 - assert state.try_get_agent_response("corr-123") is None - - -if __name__ == "__main__": - pytest.main([__file__, "-v", "--tb=short"]) diff --git a/python/packages/core/agent_framework/azurefunctions/__init__.py b/python/packages/core/agent_framework/azurefunctions/__init__.py deleted file mode 100644 index 840a9472b6..0000000000 --- a/python/packages/core/agent_framework/azurefunctions/__init__.py +++ /dev/null @@ -1,29 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -import importlib -from typing import Any - -PACKAGE_NAME = "agent_framework_azurefunctions" -PACKAGE_EXTRA = "azurefunctions" -_IMPORTS = [ - "AgentCallbackContext", - "AgentFunctionApp", - "AgentResponseCallbackProtocol", - "DurableAIAgent", - "get_agent", -] - - -def __getattr__(name: str) -> Any: - if name in _IMPORTS: - try: - return getattr(importlib.import_module(PACKAGE_NAME), name) - except ModuleNotFoundError as exc: - raise ModuleNotFoundError( - f"The '{PACKAGE_EXTRA}' extra is not installed, please do `pip install agent-framework-{PACKAGE_EXTRA}`" - ) from exc - raise AttributeError(f"Module {PACKAGE_NAME} has no attribute {name}.") - - -def __dir__() -> list[str]: - return _IMPORTS diff --git a/python/packages/core/agent_framework/azurefunctions/__init__.pyi b/python/packages/core/agent_framework/azurefunctions/__init__.pyi deleted file mode 100644 index f1d1853db3..0000000000 --- a/python/packages/core/agent_framework/azurefunctions/__init__.pyi +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) Microsoft. All rights reserved. - -from agent_framework_azurefunctions import ( - AgentCallbackContext, - AgentFunctionApp, - AgentResponseCallbackProtocol, - DurableAIAgent, - get_agent, -) - -__all__ = [ - "AgentCallbackContext", - "AgentFunctionApp", - "AgentResponseCallbackProtocol", - "DurableAIAgent", - "get_agent", -] diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md index 53ed11b7c0..4a11e5f688 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/README.md +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -114,20 +114,20 @@ Expected response: { "name": "Joker", "type": "Agent", - "httpEndpointEnabled": true, - "mcpToolTriggerEnabled": false + "http_endpoint_enabled": true, + "mcp_tool_enabled": false }, { "name": "StockAdvisor", "type": "Agent", - "httpEndpointEnabled": false, - "mcpToolTriggerEnabled": true + "http_endpoint_enabled": false, + "mcp_tool_enabled": true }, { "name": "PlantAdvisor", "type": "Agent", - "httpEndpointEnabled": true, - "mcpToolTriggerEnabled": true + "http_endpoint_enabled": true, + "mcp_tool_enabled": true } ], "agent_count": 3 From 284cd5acab1ee43e75728424eb8679dd4e03ed08 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Fri, 21 Nov 2025 13:42:15 -0600 Subject: [PATCH 15/19] Updated mcp sample --- .../azure_functions/08_mcp_server/README.md | 6 +++--- .../azure_functions/08_mcp_server/function_app.py | 9 ++++----- 2 files changed, 7 insertions(+), 8 deletions(-) diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md index 4a11e5f688..6e8554ca66 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/README.md +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -170,15 +170,15 @@ app = AgentFunctionApp(enable_health_check=True) app.add_agent(joker_agent) # MCP tool trigger only (HTTP disabled) -app.add_agent(stock_agent, enable_http_endpoint=False, enable_mcp_tool_trigger=True) +app.add_agent(stock_agent, enable_http_endpoint=False, enable_mcp_tool_endpoint=True) # Both HTTP and MCP tool triggers enabled -app.add_agent(plant_agent, enable_http_endpoint=True, enable_mcp_tool_trigger=True) +app.add_agent(plant_agent, enable_http_endpoint=True, enable_mcp_tool_endpoint=True) ``` This automatically creates the following endpoints based on agent configuration: - `POST /api/agents/{AgentName}/run` - HTTP endpoint (when `enable_http_endpoint=True`) -- MCP tool triggers for agents with `enable_mcp_tool_trigger=True` +- MCP tool triggers for agents with `enable_mcp_tool_endpoint=True` - `GET /api/health` - Health check endpoint showing agent configurations ## Learn More diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py index 0b157bee56..2e13d4bd2e 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py +++ b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py @@ -22,14 +22,13 @@ Authentication uses AzureCliCredential (Azure Identity). """ -from agent_framework.azurefunctions import AgentFunctionApp -from agent_framework.azure import AzureOpenAIChatClient +from agent_framework.azure import AgentFunctionApp, AzureOpenAIChatClient # Create Azure OpenAI Chat Client # This uses AzureCliCredential for authentication (requires 'az login') chat_client = AzureOpenAIChatClient() -# Define three AI agents with different roles +# Define three AI agents with different roles3 # Agent 1: Joker - HTTP trigger only (default) agent1 = chat_client.create_agent( name="Joker", @@ -58,7 +57,7 @@ app.add_agent(agent1) # Agent 2: Disable HTTP trigger, enable MCP tool trigger only -app.add_agent(agent2, enable_http_endpoint=False, enable_mcp_tool_trigger=True) +app.add_agent(agent2, enable_http_endpoint=False, enable_mcp_tool_endpoint=True) # Agent 3: Enable both HTTP and MCP tool triggers -app.add_agent(agent3, enable_http_endpoint=True, enable_mcp_tool_trigger=True) +app.add_agent(agent3, enable_http_endpoint=True, enable_mcp_tool_endpoint=True) From 8d5b8d1a7c8e42a76dadabd4f1b1207b269fe349 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Fri, 21 Nov 2025 14:28:31 -0600 Subject: [PATCH 16/19] Fixed broken link in readme --- .../getting_started/azure_functions/08_mcp_server/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md index 6e8554ca66..7c4782dfa5 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/README.md +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -184,5 +184,5 @@ This automatically creates the following endpoints based on agent configuration: ## Learn More - [Model Context Protocol Documentation](https://modelcontextprotocol.io/) -- [Microsoft Agent Framework Documentation](https://github.com/Azure/agent-framework) +- [Microsoft Agent Framework Documentation](https://github.com/microsoft/agent-framework) - [Azure Functions Documentation](https://learn.microsoft.com/azure/azure-functions/) From 6fe2c40ec6b7c3495dc46e11f64a7b857ab62f43 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Fri, 21 Nov 2025 15:03:36 -0600 Subject: [PATCH 17/19] Addressed copilot comments --- .../azurefunctions/agent_framework_azurefunctions/_app.py | 8 ++++++-- .../azure_functions/08_mcp_server/README.md | 3 +-- .../azure_functions/08_mcp_server/function_app.py | 2 +- 3 files changed, 8 insertions(+), 5 deletions(-) diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index 606adb6b67..e0fd9821a7 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -584,8 +584,12 @@ async def _handle_mcp_tool_invocation( if thread_id and isinstance(thread_id, str) and thread_id.strip(): try: session_id = AgentSessionId.parse(thread_id) - except Exception: - # If parsing fails, create new session ID with thread_id as key + except ValueError as e: + logger.warning( + "Failed to parse AgentSessionId from thread_id '%s': %s. Falling back to new session ID.", + thread_id, + e, + ) session_id = AgentSessionId(name=agent_name, key=thread_id) else: # Generate new session ID diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md index 7c4782dfa5..db51490231 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/README.md +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -139,8 +139,7 @@ Expected response: The sample shows how to enable MCP tool triggers with flexible agent configuration: ```python -from agent_framework.azurefunctions import AgentFunctionApp -from agent_framework.azure import AzureOpenAIChatClient +from agent_framework.azure import AgentFunctionApp, AzureOpenAIChatClient # Create Azure OpenAI Chat Client chat_client = AzureOpenAIChatClient() diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py index 2e13d4bd2e..fec0f49bd6 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py +++ b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py @@ -28,7 +28,7 @@ # This uses AzureCliCredential for authentication (requires 'az login') chat_client = AzureOpenAIChatClient() -# Define three AI agents with different roles3 +# Define three AI agents with different roles # Agent 1: Joker - HTTP trigger only (default) agent1 = chat_client.create_agent( name="Joker", From b5e513a261cacfa9ebe8c3f0112f8a028af74c41 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Mon, 24 Nov 2025 12:02:18 -0600 Subject: [PATCH 18/19] Addressed feedback --- .../agent_framework_azurefunctions/_app.py | 85 ++++++++++++------- .../packages/azurefunctions/tests/test_app.py | 18 ++-- 2 files changed, 61 insertions(+), 42 deletions(-) diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index e0fd9821a7..f743a5d021 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -9,6 +9,7 @@ import json import re from collections.abc import Callable, Mapping +from dataclasses import dataclass from typing import TYPE_CHECKING, Any, TypeVar, cast import azure.durable_functions as df @@ -39,6 +40,22 @@ EntityHandler = Callable[[df.DurableEntityContext], None] HandlerT = TypeVar("HandlerT", bound=Callable[..., Any]) + +@dataclass +class AgentMetadata: + """Metadata for a registered agent. + + Attributes: + agent: The agent instance implementing AgentProtocol + http_endpoint_enabled: Whether HTTP endpoint is enabled for this agent + mcp_tool_enabled: Whether MCP tool endpoint is enabled for this agent + """ + + agent: AgentProtocol + http_endpoint_enabled: bool + mcp_tool_enabled: bool + + if TYPE_CHECKING: class DFAppBase: @@ -131,12 +148,10 @@ def my_orchestration(context): poll_interval_seconds: Delay (seconds) between polling attempts """ - agents: dict[str, AgentProtocol] + _agent_metadata: dict[str, AgentMetadata] enable_health_check: bool enable_http_endpoints: bool enable_mcp_tool_endpoint: bool - agent_http_endpoint_flags: dict[str, bool] - agent_mcp_tool_flags: dict[str, bool] def __init__( self, @@ -170,10 +185,8 @@ def __init__( # Initialize parent DFApp super().__init__(http_auth_level=http_auth_level) - # Initialize agents dictionary - self.agents = {} - self.agent_http_endpoint_flags = {} - self.agent_mcp_tool_flags = {} + # Initialize agent metadata dictionary + self._agent_metadata = {} self.enable_health_check = enable_health_check self.enable_http_endpoints = enable_http_endpoints self.enable_mcp_tool_endpoint = enable_mcp_tool_endpoint @@ -203,6 +216,15 @@ def __init__( logger.debug("[AgentFunctionApp] Initialization complete") + @property + def agents(self) -> dict[str, AgentProtocol]: + """Returns dict of agent names to agent instances. + + Returns: + Dictionary mapping agent names to their AgentProtocol instances. + """ + return {name: metadata.agent for name, metadata in self._agent_metadata.items()} + def add_agent( self, agent: AgentProtocol, @@ -217,9 +239,9 @@ def add_agent( The agent must have a 'name' attribute. callback: Optional callback invoked during agent execution enable_http_endpoint: Optional flag to enable/disable HTTP endpoint for this agent. - If None, uses the app-level enable_http_endpoints setting. + The app level enable_http_endpoints setting will override this setting. enable_mcp_tool_endpoint: Optional flag to enable/disable MCP tool endpoint for this agent. - If None, uses the app-level enable_mcp_tool_endpoint setting. + The app level enable_mcp_tool_endpoint setting will override this setting. Raises: ValueError: If the agent doesn't have a 'name' attribute or if an agent @@ -230,7 +252,7 @@ def add_agent( if name is None: raise ValueError("Agent does not have a 'name' attribute. All agents must have a 'name' attribute.") - if name in self.agents: + if name in self._agent_metadata: raise ValueError(f"Agent with name '{name}' is already registered. Each agent must have a unique name.") effective_enable_http_endpoint = ( @@ -253,9 +275,12 @@ def add_agent( f"[AgentFunctionApp] MCP tool trigger: {'enabled' if effective_enable_mcp_endpoint else 'disabled'}" ) - self.agents[name] = agent - self.agent_mcp_tool_flags[name] = effective_enable_mcp_endpoint - self.agent_http_endpoint_flags[name] = effective_enable_http_endpoint + # Store agent metadata + self._agent_metadata[name] = AgentMetadata( + agent=agent, + http_endpoint_enabled=effective_enable_http_endpoint, + mcp_tool_enabled=effective_enable_mcp_endpoint, + ) effective_callback = callback or self.default_callback @@ -284,7 +309,7 @@ def get_agent( """ normalized_name = str(agent_name) - if normalized_name not in self.agents: + if normalized_name not in self._agent_metadata: raise ValueError(f"Agent '{normalized_name}' is not registered with this app.") return DurableAIAgent(context, normalized_name) @@ -318,7 +343,7 @@ def _setup_agent_functions( self._setup_agent_entity(agent, agent_name, callback) if enable_mcp_tool_endpoint: - agent_description = getattr(agent, "description", None) + agent_description = agent.description self._setup_mcp_tool_trigger(agent_name, agent_description) else: logger.debug(f"[AgentFunctionApp] MCP tool trigger disabled for agent '{agent_name}'") @@ -540,7 +565,7 @@ async def mcp_tool_handler(context: str, client: df.DurableOrchestrationClient) logger.debug("[AgentFunctionApp] Registered MCP tool trigger for agent: %s", agent_name) async def _handle_mcp_tool_invocation( - self, agent_name: str, context: str | dict[str, Any], client: df.DurableOrchestrationClient + self, agent_name: str, context: str, client: df.DurableOrchestrationClient ) -> str: """Handle an MCP tool invocation. @@ -548,7 +573,7 @@ async def _handle_mcp_tool_invocation( Args: agent_name: Name of the agent being invoked - context: MCP tool invocation context, either as a JSON string or pre-parsed dict + context: MCP tool invocation context as a JSON string client: Durable orchestration client Returns: @@ -560,14 +585,11 @@ async def _handle_mcp_tool_invocation( """ logger.debug("[MCP Tool Handler] Processing invocation for agent '%s'", agent_name) - # Parse context if it's a JSON string - if isinstance(context, str): - try: - parsed_context = json.loads(context) - except json.JSONDecodeError as e: - raise ValueError(f"Invalid MCP context format: {e}") from e - else: - parsed_context = context + # Parse JSON context string + try: + parsed_context = json.loads(context) + except json.JSONDecodeError as e: + raise ValueError(f"Invalid MCP context format: {e}") from e # Extract arguments from MCP context arguments = parsed_context.get("arguments", {}) if isinstance(parsed_context, dict) else {} @@ -647,17 +669,14 @@ def health_check(req: func.HttpRequest) -> func.HttpResponse: agent_info = [ { "name": name, - "type": type(agent).__name__, - "http_endpoint_enabled": self.agent_http_endpoint_flags.get( - name, - self.enable_http_endpoints, - ), - "mcp_tool_enabled": self.agent_mcp_tool_flags.get(name, self.enable_mcp_tool_endpoint), + "type": type(metadata.agent).__name__, + "http_endpoint_enabled": metadata.http_endpoint_enabled, + "mcp_tool_enabled": metadata.mcp_tool_enabled, } - for name, agent in self.agents.items() + for name, metadata in self._agent_metadata.items() ] return func.HttpResponse( - json.dumps({"status": "healthy", "agents": agent_info, "agent_count": len(self.agents)}), + json.dumps({"status": "healthy", "agents": agent_info, "agent_count": len(self._agent_metadata)}), status_code=200, mimetype=MIMETYPE_APPLICATION_JSON, ) diff --git a/python/packages/azurefunctions/tests/test_app.py b/python/packages/azurefunctions/tests/test_app.py index ba7faf5831..89a0413695 100644 --- a/python/packages/azurefunctions/tests/test_app.py +++ b/python/packages/azurefunctions/tests/test_app.py @@ -2,6 +2,7 @@ """Unit tests for AgentFunctionApp.""" +import json from collections.abc import Awaitable, Callable from typing import Any, TypeVar from unittest.mock import ANY, AsyncMock, Mock, patch @@ -239,7 +240,7 @@ def test_agent_override_enables_http_route_when_app_disabled(self) -> None: http_route_mock.assert_called_once_with("OverrideAgent") agent_entity_mock.assert_called_once_with(mock_agent, "OverrideAgent", ANY) - assert app.agent_http_endpoint_flags["OverrideAgent"] is True + assert app._agent_metadata["OverrideAgent"].http_endpoint_enabled is True def test_agent_override_disables_http_route_when_app_enabled(self) -> None: """Agent-level override should disable HTTP route even when app enables it.""" @@ -256,7 +257,7 @@ def test_agent_override_disables_http_route_when_app_enabled(self) -> None: http_route_mock.assert_not_called() agent_entity_mock.assert_called_once_with(mock_agent, "DisabledOverride", ANY) - assert app.agent_http_endpoint_flags["DisabledOverride"] is False + assert app._agent_metadata["DisabledOverride"].http_endpoint_enabled is False def test_multiple_apps_independent(self) -> None: """Test that multiple AgentFunctionApp instances are independent.""" @@ -946,8 +947,8 @@ async def test_handle_mcp_tool_invocation_with_json_string(self) -> None: assert result == "Test response" get_response_mock.assert_called_once() - async def test_handle_mcp_tool_invocation_with_dict_context(self) -> None: - """Test _handle_mcp_tool_invocation with pre-parsed dict context.""" + async def test_handle_mcp_tool_invocation_with_json_context(self) -> None: + """Test _handle_mcp_tool_invocation with JSON string context.""" mock_agent = Mock() mock_agent.name = "TestAgent" @@ -962,8 +963,8 @@ async def test_handle_mcp_tool_invocation_with_dict_context(self) -> None: } client.read_entity_state.return_value = mock_state - # Create dict context - context = {"arguments": {"query": "test query", "threadId": "test-thread"}} + # Create JSON string context + context = json.dumps({"arguments": {"query": "test query", "threadId": "test-thread"}}) with patch.object(app, "_get_response_from_entity") as get_response_mock: get_response_mock.return_value = {"status": "success", "response": "Test response"} @@ -981,8 +982,8 @@ async def test_handle_mcp_tool_invocation_missing_query(self) -> None: app = AgentFunctionApp(agents=[mock_agent]) client = AsyncMock() - # Context missing query - context = {"arguments": {}} + # Context missing query (as JSON string) + context = json.dumps({"arguments": {}}) with pytest.raises(ValueError, match="missing required 'query' argument"): await app._handle_mcp_tool_invocation("TestAgent", context, client) @@ -1031,7 +1032,6 @@ def test_health_check_includes_mcp_tool_enabled(self) -> None: mock_agent.name = "HealthAgent" app = AgentFunctionApp(agents=[mock_agent], enable_mcp_tool_endpoint=True) - app.agent_mcp_tool_flags["HealthAgent"] = True # Capture the health check handler function captured_handler = None From 4bc0e874767911f0c2f520cccd482c41f75b9c55 Mon Sep 17 00:00:00 2001 From: Gavin Aguiar Date: Mon, 24 Nov 2025 14:40:35 -0600 Subject: [PATCH 19/19] Updated property to enable_mcp_tool_trigger --- .../agent_framework_azurefunctions/_app.py | 28 +++++++++---------- .../packages/azurefunctions/tests/test_app.py | 28 +++++++++---------- .../azure_functions/08_mcp_server/README.md | 6 ++-- .../08_mcp_server/function_app.py | 4 +-- 4 files changed, 33 insertions(+), 33 deletions(-) diff --git a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py index f743a5d021..e83a9244a7 100644 --- a/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py +++ b/python/packages/azurefunctions/agent_framework_azurefunctions/_app.py @@ -143,7 +143,7 @@ def my_orchestration(context): agents: Dictionary of agent name to AgentProtocol instance enable_health_check: Whether health check endpoint is enabled enable_http_endpoints: Whether HTTP endpoints are created for agents - enable_mcp_tool_endpoint: Whether MCP tool endpoints are created for agents + enable_mcp_tool_trigger: Whether MCP tool triggers are created for agents max_poll_retries: Maximum polling attempts when waiting for responses poll_interval_seconds: Delay (seconds) between polling attempts """ @@ -151,7 +151,7 @@ def my_orchestration(context): _agent_metadata: dict[str, AgentMetadata] enable_health_check: bool enable_http_endpoints: bool - enable_mcp_tool_endpoint: bool + enable_mcp_tool_trigger: bool def __init__( self, @@ -161,7 +161,7 @@ def __init__( enable_http_endpoints: bool = True, max_poll_retries: int = DEFAULT_MAX_POLL_RETRIES, poll_interval_seconds: float = DEFAULT_POLL_INTERVAL_SECONDS, - enable_mcp_tool_endpoint: bool = False, + enable_mcp_tool_trigger: bool = False, default_callback: AgentResponseCallbackProtocol | None = None, ): """Initialize the AgentFunctionApp. @@ -170,7 +170,7 @@ def __init__( :param http_auth_level: HTTP authentication level (default: ``func.AuthLevel.FUNCTION``). :param enable_health_check: Enable the built-in health check endpoint (default: ``True``). :param enable_http_endpoints: Enable HTTP endpoints for agents (default: ``True``). - :param enable_mcp_tool_endpoint: Enable MCP tool endpoints for agents (default: ``False``). + :param enable_mcp_tool_trigger: Enable MCP tool triggers for agents (default: ``False``). When enabled, agents will be exposed as MCP tools that can be invoked by MCP-compatible clients. :param max_poll_retries: Maximum polling attempts when waiting for a response. Defaults to ``DEFAULT_MAX_POLL_RETRIES``. @@ -189,7 +189,7 @@ def __init__( self._agent_metadata = {} self.enable_health_check = enable_health_check self.enable_http_endpoints = enable_http_endpoints - self.enable_mcp_tool_endpoint = enable_mcp_tool_endpoint + self.enable_mcp_tool_trigger = enable_mcp_tool_trigger self.default_callback = default_callback try: @@ -230,7 +230,7 @@ def add_agent( agent: AgentProtocol, callback: AgentResponseCallbackProtocol | None = None, enable_http_endpoint: bool | None = None, - enable_mcp_tool_endpoint: bool | None = None, + enable_mcp_tool_trigger: bool | None = None, ) -> None: """Add an agent to the function app after initialization. @@ -240,8 +240,8 @@ def add_agent( callback: Optional callback invoked during agent execution enable_http_endpoint: Optional flag to enable/disable HTTP endpoint for this agent. The app level enable_http_endpoints setting will override this setting. - enable_mcp_tool_endpoint: Optional flag to enable/disable MCP tool endpoint for this agent. - The app level enable_mcp_tool_endpoint setting will override this setting. + enable_mcp_tool_trigger: Optional flag to enable/disable MCP tool trigger for this agent. + The app level enable_mcp_tool_trigger setting will override this setting. Raises: ValueError: If the agent doesn't have a 'name' attribute or if an agent @@ -259,9 +259,9 @@ def add_agent( self.enable_http_endpoints if enable_http_endpoint is None else self._coerce_to_bool(enable_http_endpoint) ) effective_enable_mcp_endpoint = ( - self.enable_mcp_tool_endpoint - if enable_mcp_tool_endpoint is None - else self._coerce_to_bool(enable_mcp_tool_endpoint) + self.enable_mcp_tool_trigger + if enable_mcp_tool_trigger is None + else self._coerce_to_bool(enable_mcp_tool_trigger) ) logger.debug(f"[AgentFunctionApp] Adding agent: {name}") @@ -320,7 +320,7 @@ def _setup_agent_functions( agent_name: str, callback: AgentResponseCallbackProtocol | None, enable_http_endpoint: bool, - enable_mcp_tool_endpoint: bool, + enable_mcp_tool_trigger: bool, ) -> None: """Set up the HTTP trigger, entity, and MCP tool trigger for a specific agent. @@ -329,7 +329,7 @@ def _setup_agent_functions( agent_name: The name to use for routing and entity registration callback: Optional callback to receive response updates enable_http_endpoint: Whether to create HTTP endpoint - enable_mcp_tool_endpoint: Whether to create MCP tool endpoint + enable_mcp_tool_trigger: Whether to create MCP tool trigger """ logger.debug(f"[AgentFunctionApp] Setting up functions for agent '{agent_name}'...") @@ -342,7 +342,7 @@ def _setup_agent_functions( ) self._setup_agent_entity(agent, agent_name, callback) - if enable_mcp_tool_endpoint: + if enable_mcp_tool_trigger: agent_description = agent.description self._setup_mcp_tool_trigger(agent_name, agent_description) else: diff --git a/python/packages/azurefunctions/tests/test_app.py b/python/packages/azurefunctions/tests/test_app.py index 89a0413695..c65368e79e 100644 --- a/python/packages/azurefunctions/tests/test_app.py +++ b/python/packages/azurefunctions/tests/test_app.py @@ -88,7 +88,7 @@ def test_add_agent_uses_specific_callback(self) -> None: app.add_agent(mock_agent, callback=specific_callback) setup_mock.assert_called_once() - _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_endpoint = setup_mock.call_args[0] + _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_trigger = setup_mock.call_args[0] assert passed_callback is specific_callback assert enable_http_endpoint is True @@ -104,7 +104,7 @@ def test_default_callback_applied_when_no_specific(self) -> None: app.add_agent(mock_agent) setup_mock.assert_called_once() - _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_endpoint = setup_mock.call_args[0] + _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_trigger = setup_mock.call_args[0] assert passed_callback is default_callback assert enable_http_endpoint is True @@ -119,7 +119,7 @@ def test_init_with_agents_uses_default_callback(self) -> None: AgentFunctionApp(agents=[mock_agent], default_callback=default_callback) setup_mock.assert_called_once() - _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_endpoint = setup_mock.call_args[0] + _, _, passed_callback, enable_http_endpoint, enable_mcp_tool_trigger = setup_mock.call_args[0] assert passed_callback is default_callback assert enable_http_endpoint is True @@ -806,9 +806,9 @@ def test_init_with_mcp_tool_endpoint_enabled(self) -> None: mock_agent = Mock() mock_agent.name = "TestAgent" - app = AgentFunctionApp(agents=[mock_agent], enable_mcp_tool_endpoint=True) + app = AgentFunctionApp(agents=[mock_agent], enable_mcp_tool_trigger=True) - assert app.enable_mcp_tool_endpoint is True + assert app.enable_mcp_tool_trigger is True def test_init_with_mcp_tool_endpoint_disabled(self) -> None: """Test initialization with MCP tool endpoint disabled (default).""" @@ -817,7 +817,7 @@ def test_init_with_mcp_tool_endpoint_disabled(self) -> None: app = AgentFunctionApp(agents=[mock_agent]) - assert app.enable_mcp_tool_endpoint is False + assert app.enable_mcp_tool_trigger is False def test_add_agent_with_mcp_tool_trigger_enabled(self) -> None: """Test adding an agent with MCP tool trigger explicitly enabled.""" @@ -827,7 +827,7 @@ def test_add_agent_with_mcp_tool_trigger_enabled(self) -> None: with patch.object(AgentFunctionApp, "_setup_agent_functions") as setup_mock: app = AgentFunctionApp() - app.add_agent(mock_agent, enable_mcp_tool_endpoint=True) + app.add_agent(mock_agent, enable_mcp_tool_trigger=True) setup_mock.assert_called_once() _, _, _, _, enable_mcp = setup_mock.call_args[0] @@ -839,8 +839,8 @@ def test_add_agent_with_mcp_tool_trigger_disabled(self) -> None: mock_agent.name = "NoMCPAgent" with patch.object(AgentFunctionApp, "_setup_agent_functions") as setup_mock: - app = AgentFunctionApp(enable_mcp_tool_endpoint=True) - app.add_agent(mock_agent, enable_mcp_tool_endpoint=False) + app = AgentFunctionApp(enable_mcp_tool_trigger=True) + app.add_agent(mock_agent, enable_mcp_tool_trigger=False) setup_mock.assert_called_once() _, _, _, _, enable_mcp = setup_mock.call_args[0] @@ -852,8 +852,8 @@ def test_agent_override_enables_mcp_when_app_disabled(self) -> None: mock_agent.name = "OverrideAgent" with patch.object(AgentFunctionApp, "_setup_mcp_tool_trigger") as mcp_setup_mock: - app = AgentFunctionApp(enable_mcp_tool_endpoint=False) - app.add_agent(mock_agent, enable_mcp_tool_endpoint=True) + app = AgentFunctionApp(enable_mcp_tool_trigger=False) + app.add_agent(mock_agent, enable_mcp_tool_trigger=True) mcp_setup_mock.assert_called_once() @@ -863,8 +863,8 @@ def test_agent_override_disables_mcp_when_app_enabled(self) -> None: mock_agent.name = "NoOverrideAgent" with patch.object(AgentFunctionApp, "_setup_mcp_tool_trigger") as mcp_setup_mock: - app = AgentFunctionApp(enable_mcp_tool_endpoint=True) - app.add_agent(mock_agent, enable_mcp_tool_endpoint=False) + app = AgentFunctionApp(enable_mcp_tool_trigger=True) + app.add_agent(mock_agent, enable_mcp_tool_trigger=False) mcp_setup_mock.assert_not_called() @@ -1031,7 +1031,7 @@ def test_health_check_includes_mcp_tool_enabled(self) -> None: mock_agent = Mock() mock_agent.name = "HealthAgent" - app = AgentFunctionApp(agents=[mock_agent], enable_mcp_tool_endpoint=True) + app = AgentFunctionApp(agents=[mock_agent], enable_mcp_tool_trigger=True) # Capture the health check handler function captured_handler = None diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/README.md b/python/samples/getting_started/azure_functions/08_mcp_server/README.md index db51490231..ed8ecfb1e9 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/README.md +++ b/python/samples/getting_started/azure_functions/08_mcp_server/README.md @@ -169,15 +169,15 @@ app = AgentFunctionApp(enable_health_check=True) app.add_agent(joker_agent) # MCP tool trigger only (HTTP disabled) -app.add_agent(stock_agent, enable_http_endpoint=False, enable_mcp_tool_endpoint=True) +app.add_agent(stock_agent, enable_http_endpoint=False, enable_mcp_tool_trigger=True) # Both HTTP and MCP tool triggers enabled -app.add_agent(plant_agent, enable_http_endpoint=True, enable_mcp_tool_endpoint=True) +app.add_agent(plant_agent, enable_http_endpoint=True, enable_mcp_tool_trigger=True) ``` This automatically creates the following endpoints based on agent configuration: - `POST /api/agents/{AgentName}/run` - HTTP endpoint (when `enable_http_endpoint=True`) -- MCP tool triggers for agents with `enable_mcp_tool_endpoint=True` +- MCP tool triggers for agents with `enable_mcp_tool_trigger=True` - `GET /api/health` - Health check endpoint showing agent configurations ## Learn More diff --git a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py index fec0f49bd6..14bd230b2a 100644 --- a/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py +++ b/python/samples/getting_started/azure_functions/08_mcp_server/function_app.py @@ -57,7 +57,7 @@ app.add_agent(agent1) # Agent 2: Disable HTTP trigger, enable MCP tool trigger only -app.add_agent(agent2, enable_http_endpoint=False, enable_mcp_tool_endpoint=True) +app.add_agent(agent2, enable_http_endpoint=False, enable_mcp_tool_trigger=True) # Agent 3: Enable both HTTP and MCP tool triggers -app.add_agent(agent3, enable_http_endpoint=True, enable_mcp_tool_endpoint=True) +app.add_agent(agent3, enable_http_endpoint=True, enable_mcp_tool_trigger=True)