Azure OpenAI Proxy
VerifiedEnable Azure OpenAI integration with OpenClaw via a lightweight local proxy. Use when configuring Azure OpenAI as a model provider, when encountering 404 errors with Azure OpenAI in OpenClaw, or when needing to use Azure credits (e.g. Visual Studio subscription) with OpenClaw subagents. Solves the api-version query parameter issue that prevents direct Azure OpenAI integration.
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# Azure OpenAI Proxy for OpenClaw
A lightweight Node.js proxy that bridges Azure OpenAI with OpenClaw.
The Problem
OpenClaw constructs API URLs like this: ```javascript const endpoint = `${baseUrl}/chat/completions`; ```
Azure OpenAI requires: ``` https://{resource}.openai.azure.com/openai/deployments/{model}/chat/completions?api-version=2025-01-01-preview ```
When `api-version` is in the baseUrl, OpenClaw's path append breaks it.
Quick Setup
1. Configure and Run the Proxy
```bash # Set your Azure details export AZURE_OPENAI_ENDPOINT="your-resource.openai.azure.com" export AZURE_OPENAI_DEPLOYMENT="gpt-4o" export AZURE_OPENAI_API_VERSION="2025-01-01-preview"
# Run the proxy node scripts/server.js ```
2. Configure OpenClaw Provider
Add to `~/.openclaw/openclaw.json`:
```json { "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)" } ] } } }, "agents": { "defaults": { "models": { "azure-gpt4o/gpt-4o": {} } } } } ```
Important: Set `authHeader: false` — Azure uses `api-key` header, not Bearer tokens.
3. (Optional) Use for Subagents
Save Azure credits by routing automated tasks through Azure:
```json { "agents": { "defaults": { "subagents": { "model": "azure-gpt4o/gpt-4o" } } } } ```
Run as systemd Service
Copy the template and configure:
```bash mkdir -p ~/.config/systemd/user cp scripts/azure-proxy.service ~/.config/systemd/user/
# Edit the service file with your Azure details nano ~/.config/systemd/user/azure-proxy.service
# Enable and start systemctl --user daemon-reload systemctl --user enable azure-proxy systemctl --user start azure-proxy ```
Environment Variables
| Variable | Default | Description | |----------|---------|-------------| | `AZURE_PROXY_PORT` | `18790` | Local proxy port | | `AZURE_PROXY_BIND` | `127.0.0.1` | Bind address | | `AZURE_OPENAI_ENDPOINT` | — | Azure resource hostname | | `AZURE_OPENAI_DEPLOYMENT` | `gpt-4o` | Deployment name | | `AZURE_OPENAI_API_VERSION` | `2025-01-01-preview` | API version |
Health Check
```bash curl http://localhost:18790/health # {"status":"ok","deployment":"gpt-4o"} ```
Troubleshooting
404 Resource not found: Check endpoint hostname and deployment name match Azure Portal.
401 Unauthorized: API key is wrong or expired.
Content Filter Errors: Azure has aggressive content filtering — some prompts that work on OpenAI may get blocked.
Use Cases
- Bridge Azure OpenAI with OpenClaw by solving the api-version URL construction issue
- Route OpenClaw subagent requests through Azure to use Visual Studio subscription credits
- Run a local proxy that translates standard OpenAI API calls into Azure OpenAI format
- Set up Azure OpenAI as a persistent model provider via systemd service
- Test Azure OpenAI deployments locally before committing to production configuration
Pros & Cons
Pros
- +Solves a real compatibility problem between OpenClaw URL construction and Azure's API format
- +Lightweight Node.js server with zero external dependencies beyond Node itself
- +Includes systemd service template for running as a persistent background process
Cons
- -Supports only a single Azure OpenAI deployment at a time — no multi-model routing
- -Azure's aggressive content filtering may block prompts that work fine on direct OpenAI
- -Adds a local proxy hop which introduces a minor point of failure in the request chain
FAQ
What does Azure OpenAI Proxy do?
What platforms support Azure OpenAI Proxy?
What are the use cases for Azure OpenAI Proxy?
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