llmbroker 0.0.11

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llmbroker

Route LLM calls over a pool of free LLMs with automatic round-robin and cooldown.

No LangChain, no heavy deps.

llms = llmbroker.Broker("llms.toml")
print(llms.ask("Explain Python decorators in one sentence").text)

Put your LLMs in llms.toml — or grab a preset:

llmbroker preset freetier > llms.toml

The only setup is the API keys. Ask llmbroker which ones your pool needs — each with a note on where to get it:

llmbroker env llms.toml > .env

The same Broker scales straight to a server or cluster — add Redis or Postgres to share cooldown state across instances, the calling code stays the same.

Why llmbroker:

• Automatic failover — when one LLM is rate-limited or down, the next one in the pool answers instead; you get a reply, not an error, as long as any LLM is up.
• Chat, tools & agents — one-shot ask, multi-turn chat, and function/tool calling for agentic workflows.
• Async-first — llmbroker.AsyncBroker built on asyncio for FastAPI, agents, and async workers; llmbroker.Broker wraps the same engine in a blocking API for plain scripts.
• Pluggable backends — swap registry, state store, and telemetry independently: DB, Redis etc.
• API keys configurable storage — environment variables, DB, AWS, Vault, your own store.
• Multi-user mode -- optionally separate secrets and LLMs list for each application user.

Documentation

llmbroker

Developers

Do not forget to run . ./activate.sh.

For work it need uv installed.

Use pre-commit hooks for code quality:

pre-commit install

Allure test report

• Allure report

Scripts

Install invoke preferably with uv tool:

uv tool install invoke

For a list of available scripts run:

invoke --list

For more information about a script run:

invoke <script> --help

Coverage report

• Codecov
• Coveralls

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