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How to call 100+ LLM providers through one OpenAI-format API with Litellm

Switch between OpenAI, Anthropic and other providers in Python without rewriting request code.

Who it is forA Python developer who calls more than one LLM provider and is tired of learning a different SDK and request format for each one.

The problemEach provider has its own SDK, auth pattern, request format and error types, so every new model adds integration work.

The outcomeOne completion call in OpenAI format returns responses from different providers by changing only the model string.

What you need first

  • Python and the uv package manager installed
  • API keys for the LLM providers you plan to call, such as OpenAI or Anthropic
  • For the gateway use cases: a machine to run the proxy server on and a LiteLLM master key or virtual key for clients

Steps

  1. Install the SDK with uv add litellm
  2. Set the provider keys as environment variables, such as OPENAI_API_KEY and ANTHROPIC_API_KEY
  3. Call completion from Litellm with a model such as openai/gpt-4o
  4. Change the model string to anthropic/claude-sonnet-4-20250514 and run the same call again

Prompt for your agent

Using the litellm repo at <path>, write a short Python script that sends the message 'Hello!' to openai/gpt-4o and to anthropic/claude-sonnet-4-20250514 through litellm.completion. Expected output: two printed responses. Verify that both API keys are set in the environment before running.

Caveat. You still need a valid account and API key for each provider you call, and the provider's own pricing and limits apply.

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