Simon Willison 发布了 llm-chat-completions-server 0.1a0,一个将 LLM 模型暴露为 OpenAI Chat Completions 兼容 API 的插件,利用内容可寻址日志优化对话状态管理
AI 摘要
Simon Willison 发布了 llm-chat-completions-server 0.1a0,一个将 LLM 模型暴露为 OpenAI Chat Completions 兼容 API 的插件,利用内容可寻址日志优化对话状态管理。
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原文
Release: llm-chat-completions-server 0.1a0
A key goal of the new content-addressable logs in LLM 0.32rc1 was being able to support OpenAI Chat Completion style requests where each incoming message extends the previous conversation, like this:
curl http://localhost:8002/v1/chat/completions \
-H 'Content-Type: application/json' \
-d '{
"model": "qwen3.5-4b",
"messages": [
{"role": "user", "content": "Capital of France?"},
{"role": "assistant", "content": "Paris."},
{"role": "user", "content": "Germany?"}
]
}'Here the conversation state is tracked by the client, so each of these requests gets longer and longer. The new schema design in LLM is designed to de-duplicate these using hashes of the individual message parts.
To test that out, I built this plugin:
uv tool install llm --pre
llm install llm-chat-completions-server
llm chat-completions-server -p 9001Running this starts a localhost server on port 9001 that exposes your full collection of LLM models (from any plugins you have installed) using a ChatGPT Completions compatible endpoint.
GPT-5.6 Sol wrote the whole thing - it turns out it knows the OpenAI Chat Completions API shape really well.
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