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Fix Lab 02 (Python): reset input_list per turn and resolve tool calls in conversation #247

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Fix Lab 02 (Python): reset input_list per turn and resolve tool calls in conversation #247

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7 changes: 5 additions & 2 deletions Instructions/Exercises/02-agent-custom-tools.md
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Original file line number Diff line number Diff line change
Expand Up @@ -153,7 +153,6 @@ Now you're ready to create an AI agent that uses MCP server tools to access exte
```python
# Add references
from azure.ai.projects import AIProjectClient
from azure.ai.projects.models import FunctionTool
from azure.identity import DefaultAzureCredential
from azure.ai.projects.models import PromptAgentDefinition, FunctionTool
from openai.types.responses.response_input_param import FunctionCallOutput, ResponseInputParam
Expand Down Expand Up @@ -312,6 +311,8 @@ Now that you've created the agent with the function tools, you can send messages
input_list: ResponseInputParam = []
```

This list is created inside the chat loop so that each turn starts with a fresh set of function call outputs.

1. Find the comment **Send a prompt to the agent** and add the following code:

```python
Expand Down Expand Up @@ -375,8 +376,8 @@ Now that you've created the agent with the function tools, you can send messages
# Send function call outputs back to the model and retrieve a response
if input_list:
response = openai_client.responses.create(
conversation=conversation.id,
input=input_list,
previous_response_id=response.id,
extra_body={"agent_reference": {"name": agent.name, "type": "agent_reference"}},
)
# Display the agent's response
Expand All @@ -385,6 +386,8 @@ Now that you've created the agent with the function tools, you can send messages

This code checks if there are any function call outputs in the input list, and if so, it sends them back to the agent as input to retrieve an updated response. Finally, it prints the agent's response.

Note that the outputs are attached to the same **conversation**, so the function calls are resolved in conversation state and the agent's answer is saved to the chat history. Sending them back with `previous_response_id` instead would make the *next* message fail with *"No tool output found for function call"*.

1. Find the comment **Delete the agent when done** and add the following code:

```python
Expand Down
6 changes: 3 additions & 3 deletions Labfiles/02-agent-custom-tools/Python/agent.py
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Original file line number Diff line number Diff line change
Expand Up @@ -32,15 +32,15 @@ def main():
# Create a thread for the chat session


# Create a list to hold function call outputs that will be sent back as input to the agent


while True:
user_input = input("Enter a prompt for the astronomy agent. Use 'quit' to exit.\nUSER: ").strip()
if user_input.lower() == "quit":
print("Exiting chat.")
break

# Create a list to hold function call outputs that will be sent back as input to the agent


# Send a prompt to the agent


Expand Down
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