OpenAI-Compatible Server

LiteRT-LM CLI can start a local HTTP server that is compatible with the OpenAI API. This lets you use LiteRT-LM as a drop-in replacement for OpenAI in your existing applications and workflows.

Import Models

To serve a model, it must be present in your local registry. If you haven't imported a model yet, you can import the Gemma 4 12B model with the following command:

litert-lm import \
  --from-huggingface-repo=litert-community/gemma-4-12B-it-litert-lm \
  gemma-4-12B-it.litertlm \
  gemma4-12b

litert-lm import `
  --from-huggingface-repo=litert-community/gemma-4-12B-it-litert-lm `
  gemma-4-12B-it.litertlm `
  gemma4-12b

For more information on importing and managing models, see the Model Management guide.

Start the Server

Use the serve command to start the server. By default, it starts an OpenAI-compatible server on port 9379.

The server dynamically loads and serves any models in your local registry.

litert-lm serve

Configuration Options

You can customize the server using the following options:

• --host: The host to listen on (default: 0.0.0.0).
• --port: The port to listen on (default: 9379).
• --verbose: Enable verbose logging.

Example with custom host and port:

litert-lm serve --host 127.0.0.1 --port 8080

Supported Endpoints

The server emulates the following OpenAI API endpoints:

• List Models: GET /v1/models Lists the models that are available to the server.
• Chat Completions: POST /v1/chat/completions Generates text completions for a given chat conversation. Supports streaming responses.

Usage Example

Once the server is running, you can interact with it by sending HTTP requests.

Sending HTTP Requests

curl http://localhost:9379/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemma4-12b",
    "messages": [
      {"role": "user", "content": "Hello!"}
    ]
  }'

Invoke-RestMethod -Uri "http://localhost:9379/v1/chat/completions" `
  -Method Post `
  -ContentType "application/json" `
  -Body '{"model": "gemma4-12b", "messages": [{"role": "user", "content": "Hello!"}]}'