- Add detailed docstrings to AgentNode, BasicRecursionFilterNode, and
DocumentChunkRecursionFilterNode for clarity and documentation. -
Improve input validation and error handling in agent nodes. - Update
.gitignore to cover more environment, config, and IDE files. - Refactor
LiteLLMCustomEndpointProvider for custom API endpoints. - Add
conditional imports and dummy functions for LightRAG when unavailable. -
Update config.yaml to use environment variables for API keys and clarify
usage. - Refine requirements.txt to avoid heavy LightRAG dependencies. -
Add tests/__init__.py with test suite metadata; remove redundant test
files. - Fix CustomDict import and model config handling in
litellmnodes.py. - Improve chunk processing and recursion filter logic
in agent nodes. - Update utils/__init__.py to include env_config.
- Add new classes for advanced LLM interactions (HTMLRenderer, AddDataModelToLLLm, ModifyModelKwargs, LitellmCompletionV2)
- Implement PDF processing with PDFToImageNode for image extraction
- Enhance error handling and caching in LiteLLMCompletion for improved performance
- Update model options and add support for custom data models and kwargs modifications
- Refactor initialization process and simplify JavaScript components
- Improve multi-modal processing with better image handling in LLM completions
- Update project metadata to reflect evolving focus and capabilities
This commit significantly expands the system's ability to handle complex AI tasks,
including HTML rendering, PDF processing, and more flexible LLM interactions.
It represents a major step towards a more comprehensive, multi-modal AI toolkit
TashaSkyUp