by Lokesh-Chimakurthi · Claude 技能 · ★ 7
Rosetta Multi-format bidirectional translation proxy for LLM APIs. Translates between OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages formats — letting any client SDK talk to any provider regardless of which native API the provider speaks. Quick Start uvx (no install required) Or point to a custom config: uv tool install (persistent) Docker From source Features Three endpoint families: , , — all with full streaming support Passthrough fast path: zero-overhead when inbound format matches provider's native format Canonical IR translation: lossless cross-format translation...
| Stars | 7 |
| Forks | 1 |
| Language | Python |
| Category | Claude 技能 |
| Quality Score | 34.75/100 |
| Last Updated | 2026-05-22 |
| Created | 2026-05-03 |
| Platforms | claude-code, python |
| Est. Tokens | ~12k |
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rosetta-llm is Multi-format LLM proxy — translates OpenAI Chat, OpenAI Responses & Anthropic Messages. Works as a Claude Code LLM gateway with full model picker support.. It is categorized as a Claude 技能 with 7 GitHub stars.
rosetta-llm is primarily written in Python. It covers topics such as ai-gateway, anthropic, anthropic-api.
You can find installation instructions and usage details in the rosetta-llm GitHub repository at github.com/Lokesh-Chimakurthi/rosetta-llm. The project has 7 stars and 1 forks, indicating an active community.