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LiteLLM

AI gateway and Python SDK for calling many LLM providers through OpenAI-compatible or native formats.

LiteLLM is a Python SDK and proxy server used by AI builders to route requests across many model providers, track cost, add logging, and manage gateway behavior.

Best for Teams routing agent traffic across multiple model providers
First test Use it on one real builder workflow and verify whether it removes manual work without adding fragile setup.
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Decision signals
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model servinginferenceconnectorssource availableself hosted ai

Resource profile

What is LiteLLM?

Use this profile to understand what the resource does, where it fits, and how to test it before adopting it.

LiteLLM is a Python SDK and proxy server used by AI builders to route requests across many model providers, track cost, add logging, and manage gateway behavior.

LiteLLM is listed on OpenAgent.bot as a tools resource for open AI builders.

Fit check

Where it fits

Good fit if

  • Teams routing agent traffic across multiple model providers
  • Developers who want OpenAI-compatible access to many LLM APIs
  • Builders adding cost tracking, load balancing, and gateway logs

Not a fit if

  • Teams that only call one model provider directly
  • Users who do not want to operate a gateway or proxy

Evaluation

What to inspect before adopting it

Fit

Workflow, source, license, and deployment match.

Start with one real use case.
Evidence

Official docs, repository, examples, and maintenance signals.

Trust should come from sources.
Risk

Setup burden, operational limits, and failure behavior.

A small first test keeps adoption reversible.

First test

How to evaluate it before committing

Use it on one real builder workflow and verify whether it removes manual work without adding fragile setup.

Keep the first test small enough that you can inspect the source, understand the permissions, and compare the result with nearby OpenAgent resources.

Workflows

Best workflows to test first

Self hosted ai

Use it as a candidate for self hosted ai when the project facts, license, and official links match your deployment requirements.

Compare

How it compares

When to choose LiteLLM

Compare it with nearby tools by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.

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promptfoo Tools MIT 21,787

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