litellm/docs/my-website/docs/tutorials/openclaw_integration.md

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OpenClaw

OpenClaw + LiteLLM Integration

OpenClaw is a self-hosted AI assistant that connects chat apps (WhatsApp, Telegram, Discord, and more) to LLM providers. By routing OpenClaw through LiteLLM Proxy, you get access to 100+ providers, cost tracking, spend limits, and automatic failover — all from a single gateway.

What you'll set up

Chat apps → OpenClaw Gateway → LiteLLM Proxy → LLM Providers (OpenAI, Anthropic, etc.)

Prerequisites

Requirement	How to get it
Node.js 22+	node --version — install from nodejs.org if needed
Python 3.8+	python --version
At least one LLM API key	OpenAI, Anthropic, Gemini, etc.

Step 1 — Install LiteLLM Proxy

pip install 'litellm[proxy]'

Step 2 — Create a LiteLLM config file

Create a config file litellm_config.yaml with the models you want to use. Here's an example with OpenAI:

model_list:
  - model_name: gpt-4o
    litellm_params:
      model: openai/gpt-4o
      api_key: os.environ/OPENAI_API_KEY

general_settings:
  master_key: sk-your-secret-key  # pick any value — this is YOUR proxy password

:::tip Multi-provider example You can add as many models as you want from different providers:

model_list:
  - model_name: gpt-4o
    litellm_params:
      model: openai/gpt-4o
      api_key: os.environ/OPENAI_API_KEY

  - model_name: claude-sonnet
    litellm_params:
      model: anthropic/claude-sonnet-4-20250514
      api_key: os.environ/ANTHROPIC_API_KEY

  - model_name: gemini-flash
    litellm_params:
      model: gemini/gemini-2.0-flash
      api_key: os.environ/GEMINI_API_KEY

general_settings:
  master_key: sk-your-secret-key

See LiteLLM proxy config docs for all options. :::

Step 3 — Start the proxy

Make sure your API key(s) are available as environment variables (via export, .env file, or however you manage secrets), then start the proxy:

litellm --config litellm_config.yaml --port 4000

Step 4 — Install OpenClaw

# macOS / Linux
curl -fsSL https://openclaw.ai/install.sh | bash

:::note Windows On Windows, use PowerShell: iwr -useb https://openclaw.ai/install.ps1 | iex

WSL2 is recommended over native Windows. :::

Step 5 — Connect OpenClaw to LiteLLM

Run the onboarding wizard:

openclaw onboard --install-daemon

When prompted:

1. Choose QuickStart or Manual as the onboarding mode (both work — Manual gives you more options for gateway settings)
2. Select LiteLLM as the model/auth provider
3. Enter your LiteLLM master_key from Step 2 and set the base URL to your proxy address (e.g., http://localhost:4000)
4. When asked for the default model, choose Enter model manually and type the model name from your litellm_config.yaml (e.g., litellm/gpt-4o)

You can also set or change the model after onboarding:

openclaw models set litellm/gpt-4o

For scripted / CI environments, you can skip the prompts entirely:

openclaw onboard --non-interactive --accept-risk \
  --auth-choice litellm-api-key \
  --litellm-api-key "sk-your-secret-key" \
  --custom-base-url "http://localhost:4000" \
  --install-daemon --skip-channels --skip-skills

Step 6 — Verify

Check the gateway is healthy:

openclaw health

Then send a test message:

openclaw dashboard                                           # web UI
openclaw tui                                                 # terminal UI
openclaw agent --agent main -m "Hello, what model are you?"  # one-shot CLI

If you get a response from your model, the integration is working.

Check which model is active:

openclaw models status

Config reference

After onboarding, OpenClaw stores the LiteLLM provider config in ~/.openclaw/openclaw.json. The relevant sections are something like this:

{
  "models": {
    "providers": {
      "litellm": {
        "baseUrl": "http://localhost:4000",
        "apiKey": "sk-your-secret-key",
        "api": "openai-completions",
        "models": [
          {
            "id": "gpt-4o",
            "name": "GPT-4o via LiteLLM"
          }
        ]
      }
    }
  },
  "agents": {
    "defaults": {
      "model": { "primary": "litellm/gpt-4o" }
    }
  }
}

You can edit this file directly to add more models or change the baseUrl. OpenClaw hot-reloads changes automatically.

Troubleshooting

Connection refused / proxy not reachable

Make sure the LiteLLM proxy is running and that the baseUrl in your OpenClaw config matches:

curl http://localhost:4000/health -H "Authorization: Bearer sk-your-secret-key"

Wrong model or "Invalid model name"

The model name in OpenClaw must match a model_name from your litellm_config.yaml. Switch the active model with:

openclaw models set litellm/gpt-4o

Gateway pairing issues after reinstall

If the CLI can't connect to the gateway after a reinstall, stop the service and reinstall it:

openclaw gateway stop
openclaw gateway install

References

• OpenClaw docs
• OpenClaw LiteLLM provider docs
• OpenClaw model providers
• LiteLLM proxy configuration