This project implements intelligent API request transformation through LiteLLM with the following technical features:
- Automatic format conversion: Convert Claude Code's API requests in Anthropic format to the standard format of the target model (e.g. OpenAI/Gemini) in real time, and then convert back to Anthropic format when responding.
- Unified Key Management: Centralized configuration of each vendor's API key via .env file, automatic injection of request headers
- Endpoint Compatible Extensions: Three types of access are supported:
- Official API endpoints (default)
- Customized cloud service endpoints (configured via *_API_BASE)
- Local model server (e.g. connection to LM Studio)
- Intelligent Routing: Automatic selection of preconfigured BIG/SMALL models based on task type and support for fallback mechanism
Technically dependent on Python's asynchronous processing framework (uvicorn), the conversion process is completely transparent to the user, developers can use the native Claude API like the same operation of a variety of LLM.
This answer comes from the articleAny LLM in Claude Code: An Open Source Agent for Calling Multilingual Models for Claude CodeThe
May not be reproduced without permission:AI productivity tools " What are the technical features of Any LLM in Claude Code for API request processing?
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