by Nayjest · LLM Plugin · ★ 117
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OpenAI-compatible HTTP LLM proxy / gateway for multi-provider inference (Google, Anthropic, OpenAI, PyTorch). Lightweight, extensible Python/FastAPI—use as library or standalone service.
| Stars | 117 |
| Forks | 13 |
| Language | Python |
| Category | LLM Plugin |
| License | MIT |
| Quality Score | 40.75/100 |
| Open Issues | 10 |
| Last Updated | 2026-04-29 |
| Created | 2025-05-24 |
| Platforms | python |
| Est. Tokens | ~100k |
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lm-proxy is OpenAI-compatible HTTP LLM proxy / gateway for multi-provider inference (Google, Anthropic, OpenAI, PyTorch). Lightweight, extensible Python/FastAPI—use as library or standalone service.. It is categorized as a LLM Plugin with 117 GitHub stars.
lm-proxy is primarily written in Python. It covers topics such as ai, anthropic, api-proxy.
You can find installation instructions and usage details in the lm-proxy GitHub repository at github.com/Nayjest/lm-proxy. The project has 117 stars and 13 forks, indicating an active community.
lm-proxy is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to lm-proxy on Agent Skills Hub include anthropic-max-router, NadirClaw, ccproxy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.