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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-llm263 stars(GitHub 263 + cccskills 0)
Works withOpenAI

Run score Not tested

See how to install

Files included (2)

  • SKILL.md2.1 KB
  • index.md484 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

<!-- 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_key administers 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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