On GitHub, musistudio/llms has picked up 308 stars, TypeScript. A universal LLM API transformation server
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A universal LLM API transformation server, initially developed for the claude-code-router.
How it works
The LLM API transformation server acts as a middleware to standardize requests and responses between different LLM providers (Anthropic, Gemini, Deepseek, etc.). It uses a modular transformer system to handle provider-specific API formats.
Key Components
Transformers: Each provider (e.g., Anthropic, Gemini) has a dedicated transformer class that implements:
transformRequestIn: Converts the provider's request format to a unified format.
transformResponseIn: Converts the provider's response format to a unified format.
transformRequestOut: Converts the unified request format to the provider's format.
transformResponseOut: Converts the unified response format back to the provider's format.
endPoint: Specifies the API endpoint for the provider (e.g., "/v1/messages" for Anthropic).
Unified Formats:
Requests and responses are standardized using UnifiedChatRequest and UnifiedChatResponse types.
Streaming Support:
Handles real-time streaming responses for providers like Anthropic, converting chunked data into a standardized format.
Data Flow
Request:
Incoming provider-specific requests are transformed into the unified format.
The unified request is processed by the server.
Response:
The server's unified response is transformed back into the provider's format.
Streaming responses are handled with chunked data conversion.
Example Transformers
Anthropic: Converts between OpenAI-style and Anthropic-style message formats.
Gemini: Adjusts tool definitions and parameter formats for Gemini compatibility.
Deepseek: Enforces token limits and handles reasoning content in streams.
Run this repo
Install dependencies:
npm install
# or pnpm install
Development:
npm run dev
# Uses nodemon + tsx for hot-reloading src/server.ts
Build:
npm run build
# Outputs to dist/cjs and dist/esm
Test:
npm test
# See CLAUDE.md for details
Path alias:
@ is mapped to the src directory, use import xxx from '@/xxx'.
Environment variables:
Supports .env and config.json, see src/services/config.ts.
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Is llms worth your time?
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