A lightweight Node.js proxy that enables seamless integration between Azure OpenAI and OpenClaw by resolving API versioning and URL path conflicts.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install azure-proxy
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install azure-proxy using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Azure OpenAI Proxy is a specialized utility designed to bridge the gap between Azure's unique API requirements and the standardized OpenAI-compatible requests used by OpenClaw. Because Azure requires specific deployment paths and api-version query parameters, direct connections often fail with 404 errors. This skill acts as a local intermediary, rewriting requests on the fly so your Openclaw Skills can communicate with Azure resources without modification.
By deploying this proxy, developers can leverage enterprise Azure credits, such as those from Visual Studio subscriptions, to power their autonomous agents. It handles the translation of headers and URL structures, ensuring that OpenClaw sees a standard OpenAI endpoint while Azure receives the specific metadata it requires for authentication and routing.
# Configure your Azure environment
export AZURE_OPENAI_ENDPOINT="your-resource.openai.azure.com"
export AZURE_OPENAI_DEPLOYMENT="gpt-4o"
export AZURE_OPENAI_API_VERSION="2025-01-01-preview"
# Launch the proxy server
node scripts/server.js
Modify your ~/.openclaw/openclaw.json to point to the proxy:
{
"models": {
"providers": {
"azure-gpt4o": {
"baseUrl": "http://127.0.0.1:18790",
"apiKey": "YOUR_AZURE_API_KEY",
"api": "openai-completions",
"authHeader": false,
"headers": {
"api-key": "YOUR_AZURE_API_KEY"
},
"models": [{ "id": "gpt-4o", "name": "GPT-4o (Azure)" }]
}
}
}
}
The proxy relies on environment variables for its configuration and exposes a simple health check schema:
| Variable | Purpose | Default |
|---|---|---|
| AZURE_PROXY_PORT | Local port for Openclaw Skills to connect to | 18790 |
| AZURE_OPENAI_ENDPOINT | Your specific Azure resource hostname | Required |
| AZURE_OPENAI_DEPLOYMENT | The name of your model deployment in Azure | gpt-4o |
Health Check Endpoint: GET /health returns {"status":"ok","deployment":"gpt-4o"}.
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