- Corrects the syntax of retry_if_exception_type decorators to ensure proper exception handling and retry behavior
- Implements proper resource cleanup for async iterators to prevent memory leaks and potential SIGSEGV errors
Add support for custom client configurations in the OpenAI integration,
allowing for more flexible configuration of the AsyncOpenAI client.
This includes:
- Create a reusable helper function `create_openai_async_client`
- Add proper documentation for client configuration options
- Ensure consistent parameter precedence across the codebase
- Update the embedding function to support client configurations
- Add example script demonstrating custom client configuration usage
The changes maintain backward compatibility while providing a cleaner
and more maintainable approach to configuring OpenAI clients.
https://github.com/HKUDS/LightRAG/pull/864#issuecomment-2669705946
- Created two new example scripts demonstrating LightRAG integration with LlamaIndex:
- `lightrag_llamaindex_direct_demo.py`: Direct OpenAI integration
- `lightrag_llamaindex_litellm_demo.py`: LiteLLM proxy integration
- Both examples showcase different search modes (naive, local, global, hybrid)
- Includes configuration for working directory, models, and API settings
- Demonstrates text insertion and querying using LightRAG with LlamaIndex
- removed wrapper directory and references to it
- Implemented LlamaIndex interface for language model interactions
- Added async chat completion support
- Included embedding generation functionality
- Implemented retry mechanisms for API calls
- Added configuration and message formatting utilities
- Supports OpenAI-style message handling and external settings
• Add User-Agent header with version info
• Update header creation in Ollama client
• Update header creation in OpenAI client
• Ensure consistent header format
• Include Mozilla UA string for OpenAI
