Skip to content

v1.1.0
Compare
Choose a tag to compare
@ds-ragbits-robot ds-ragbits-robot released this 09 Jul 15:45
· 74 commits to main since this release
v1.1.0
511631c
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.

1.1.0 (2025-07-09)

🤖 Agent Release

This release brings agentic capabilities to Ragbits, together with major user interface enhancements, expanded observability, new integrations, and core improvements.

✨ Key Features & Highlights

Agents: Easily build agentic systems that proactively interact with their environment.

  • Agent Interface: Define agents by combining LLMs, prompts, and tools using the ragbits-agents package. Tool creation is streamlined—simply annotate Python functions, and Ragbits automatically handles type hints and docstrings for agent consumption.
  • MCP Server Integration: Connect your agents to hundreds of off-the-shelf tools by running or connecting to an MCP Server, instantly expanding agent capabilities.
  • A2A Protocol Support: Enable inter-agent communication with the new A2A Protocol. The Agent.to_a2a() method makes it seamless to register an agent as an A2A Card, share, and communicate via the bundled A2A Server.
  • Streaming Responses: All agents now support streaming by default—use Agent.run_streaming() to send results as they’re generated, improving responsiveness and UX.
  • Tracing & Observability: Built-in agent tracing support with multiple backends including OpenTelemetry, CLI, and Logfire, making it easy to monitor and debug agent reasoning and tool use.

Ragbits UI Improvements

  • User Interface Improvements: Richer, more interactive and customizable chat experiences.
  • Live Updates: Real-time notifications from the backend keep users in the loop—see searches, tool calls, and step-by-step reasoning as they happen.
  • Message History Navigation: Use up/down arrows to effortlessly navigate and edit previous messages, streamlining user interactions.
  • Follow-up Message Suggestions: Applications can now suggest contextual follow-up questions. Show follow-up buttons in the UI by simply calling a backend method.
  • TypeScript SDK: Faster custom integrations! Access Ragbits API from your own interfaces using the new TypeScript SDK, available standalone or as React hooks.
  • User Settings: Define a Pydantic model to automatically generate a user settings form in the UI. These settings can customize chatbot behavior per-user—making it simple to add personalizable controls.
  • Debug Mode: Activate debug mode in the chat UI to view internal chat state, events, and other chatbot internals, greatly aiding development and troubleshooting.

Observability

  • Comprehensive OpenTelemetry Metrics: Now supporting all OpenTelemetry metric types for robust, expressive monitoring.
  • Server Observability: Improved observability into servers registered or available through RagbitsAPI, surfacing infrastructure insights.
  • Grafana Dashboards: New, ready-to-use Grafana dashboards are now bundled with create-ragbits-app for instant monitoring out of the box.
  • Logfire Integration: One-line setup to send traces and metrics directly to Pydantic Logfire, enabling comprehensive observability with minimal configuration.

Integrations

  • Weaviate VectorStore: Use Weaviate as a fully compatible VectorStore backend across Ragbits components such as document-search.

Developer Experience & Other Improvements

  • RagbitsChatClient: Introduced a new RagbitsChatClient for seamless interaction with RagbitsAPI from Python. Makes building custom python clients and integrations easier than ever.
Assets 2
Loading