v0.2.2

Features & Improvements

• Added /models endpoint and enabled CORS support.
• Initiated MCP client and tool registry functionality (WIP).
• Updated tool patterns for enhanced consistency.

Fixes & Updates

• Fixed multi tool accumulation issue.
• Fixed mid-response tool buffer leak.
• Updated chat completions data models: updated FunctionDetail and removed name from ToolCall.

Notes

• MCP configuration in agent.yaml is now commented out by default.

Full Changelog: v0.2.1...v0.2.2

v0.2.1

What's Changed

Fixes & Updates

• Fixed issue with LLMFactory not recognizing openai-compat vendor names

Full Changelog: v0.2.0...v0.2.1

v0.2.0

What's Changed

Features & Improvements

• Added multiple new LLM adapters (Anthropic, OpenAI compatible, vLLM, Ollama, Grok, and Mistral AI)
• Refactored tool registration to use agent.yaml config definitions instead of class decorators
• Enhanced pattern detection with improved Aho-Corasick method that handles spaces and linebreaks natively
• Added fallback JSON parsing logic for improved robustness
• Added example DuckDuckGo tool implementation
• Improved logging for tool registry

Fixes & Updates

• Fixed an issue to allow context in ChatCompletionRequest to be empty dict
• Updated documentation across multiple components
• Visual improvements to project assets

Full Changelog: v0.1.1...v0.2.0

v0.1.1

What's Changed

Features & Improvements

• Streamlined tool creation and registration workflow with new loading approach
• Added Wikipedia tool support and documentation
• Enhanced streaming implementation with improved context handling and LLM integration
• Added Llama tool structure example
• Improved nested JSON tool parsing capability

Fixes & Updates

• Fixed streaming process bug and removed unused type adapters
• Updated tool configuration and path structures
• Added Elasticsearch SSL certificate documentation

Full Changelog: v0.1.0...v0.1.1

v0.1.0 (2025-02-07)

Initial Release

• Configurable AI agent framework with YAML-based configuration
• FastAPI-based interaction endpoint with streaming support
• Tool calling capabilities for Python functions and REST APIs
• Integration with IBM watsonx.ai models (Granite, Mistral, Llama)
• Integration with OpenAI models
• Docker and Podman containerization support
• Complete documentation and deployment guides
• Database integration (Milvus and Elastic)
• Robust prompt building and parsing systems
• Comprehensive LLM integration components