api
免费Use liter-llm api reference documentation.
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xberg-io/liter-llm2632026年10月26日 更新
免费在 GitHub 公开
liter-llm-running-the-proxy
Use when running the `liter-llm api` OpenAI-compatible gateway — virtual keys, per-key rate limits, budgets, cost tracking, and model routing. Covers the TOML config and the 22 REST endpoints.
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xberg-io/liter-llm星标 263(GitHub 263 + cccskills 0)
集成工具OpenAI
实测评分 未实测
查看安装方法包含的文件（2）
- SKILL.md2.1 KB
- index.md484 B
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
<!--
AI-RULEZ :: GENERATED FILE — DO NOT EDIT
Content-Hash: blake3:b0a0178eae0e6882ae032983d8927142b6db16add6ab9cab391538db2f202eb4
Source-Hash: blake3:e9a3504d653cf1d11dce92e35c7dc252403c7cac2ca0cae3c0b8c8addd45159e
Schema-Version: v1
-->
Running the Proxy
liter-llm api is a drop-in OpenAI-compatible gateway: 22 REST endpoints that
route to 174 providers, with multi-tenant virtual keys, rate limits, budgets,
and cost tracking.
Start it
liter-llm api --config liter-llm-proxy.toml
The proxy auto-discovers liter-llm-proxy.toml in the current directory.
Configuration
[server]
host = "0.0.0.0"
port = 4000
[general]
master_key = "${LITER_LLM_MASTER_KEY}"
# Each [[models]] entry maps a routable name to a provider/model and its key.
[[models]]
name = "gpt-4o"
provider_model = "openai/gpt-4o"
api_key = "${OPENAI_API_KEY}"
[[models]]
name = "claude-sonnet"
provider_model = "anthropic/claude-sonnet-4-20250514"
api_key = "${ANTHROPIC_API_KEY}"
# Virtual keys scope which configured model names a caller may use.
[[keys]]
key = "sk-team-frontend"
models = ["gpt-4o", "claude-sonnet"]
rpm = 60
tpm = 100000
budget_limit = 50.0
${ENV_VAR} interpolation keeps secrets out of the file.
Call it like OpenAI
curl http://localhost:4000/v1/chat/completions \
-H "Authorization: Bearer sk-team-frontend" \
-d '{"model": "gpt-4o", "messages": [{"role": "user", "content": "Hello"}]}'
Notes
- Virtual keys scope which models a caller may use and carry their own RPM/TPM
and budget limits; the
master_keyadministers them. - The OpenAPI 3.1 spec is served at
/openapi.json. - Endpoints cover chat, embeddings, images, audio, moderations, files, batches, responses, and model listing.
- Docker:
docker run -p 4000:4000 -e LITER_LLM_MASTER_KEY=sk-key ghcr.io/xberg-io/liter-llm.
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同一仓库的技能
cli
免费Use liter-llm cli reference documentation.
中文简介正在准备中。当前显示原文说明。
xberg-io/liter-llm2632026年10月26日 更新
Universal LLM API client for 174 providers with native bindings for 14 languages. Use when writing code that calls LLM APIs via liter-llm in Python, TypeScript, Rust, Go, Java, C#, Ruby, PHP, Elixir, WASM, or C, when running the OpenAI-compatible proxy, or when calling LLMs through the MCP server. Covers chat, streaming, tool calling, embeddings, image generation, speech, transcription, moderation, web search, OCR, reranking, provider routing, middleware, and configuration.
中文简介正在准备中。当前显示原文说明。
xberg-io/liter-llm2632026年10月26日 更新
Use when sending chat completions through liter-llm and routing to a specific provider via the `provider/model` prefix. Covers the chat call shape, provider routing, model_hint, message roles, and error categories.
中文简介正在准备中。当前显示原文说明。
xberg-io/liter-llm2632026年10月26日 更新
Use when generating embeddings, calling the 12 web-search providers, or running OCR over documents with the 4 OCR providers through liter-llm. Covers embed, search, and ocr methods plus reranking.
中文简介正在准备中。当前显示原文说明。
xberg-io/liter-llm2632026年10月26日 更新
Use when streaming tokens incrementally from an LLM via liter-llm over SSE or async iterators. Covers chat_stream, delta handling, and null-content chunks.
中文简介正在准备中。当前显示原文说明。
xberg-io/liter-llm2632026年10月26日 更新