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-# OpenAI-Compatible Integration for MCP Gateway
-
-This guide shows how to add OpenAI-compatible endpoints to your MCP Gateway so Open-UI and other OpenAI clients can use your MCP tools.
-
-## Quick Setup (2 steps)
-
-### Step 1: Import the OpenAI routes in `gateway-proxy/gateway_proxy.py`
-
-At the top of the file, add:
-
-```python
-from openai_routes import chat_completions, list_models
-```
-
-### Step 2: Add the routes to your Starlette app
-
-In the `app = Starlette(routes=[...])` section, add these routes before the closing bracket:
-
-```python
-        # OpenAI-compatible endpoints
-        Route("/v1/models", list_models, methods=["GET"]),
-        Route("/v1/chat/completions", chat_completions, methods=["POST"]),
-```
-
-So your routes section should look like:
-
-```python
-app = Starlette(
-    routes=[
-        # Well-known discovery (Claude tries both with and without /mcp suffix)
-        Route("/.well-known/oauth-protected-resource", well_known_protected_resource, methods=["GET"]),
-        Route("/.well-known/oauth-protected-resource/mcp", well_known_protected_resource, methods=["GET"]),
-        Route("/.well-known/oauth-authorization-server", well_known_oauth_authorization_server, methods=["GET"]),
-        Route("/.well-known/oauth-authorization-server/mcp", well_known_oauth_authorization_server, methods=["GET"]),
-        Route("/.well-known/openid-configuration", well_known_oauth_authorization_server, methods=["GET"]),
-
-        # OAuth endpoints at /oauth/* (spec-standard)
-        Route("/oauth/register", oauth_register, methods=["POST"]),
-        Route("/oauth/authorize", oauth_authorize, methods=["GET", "POST"]),
-        Route("/oauth/token", oauth_token, methods=["POST"]),
-
-        # OAuth endpoints at root (Claude may construct these from base URL)
-        Route("/register", oauth_register, methods=["POST"]),
-        Route("/authorize", oauth_authorize, methods=["GET", "POST"]),
-        Route("/token", oauth_token, methods=["POST"]),
-
-        # MCP endpoint (OAuth-protected)
-        Route("/mcp", handle_mcp, methods=["GET", "HEAD", "POST", "DELETE"]),
-
-        # OpenAI-compatible endpoints
-        Route("/v1/models", list_models, methods=["GET"]),
-        Route("/v1/chat/completions", chat_completions, methods=["POST"]),
-
-        # Monitoring
-        Route("/health", health, methods=["GET"]),
-        Route("/status", status, methods=["GET"]),
-    ],
-    lifespan=lifespan,
-)
-```
-
-## Configuration
-
-Update the route handler to pass required parameters. In `gateway_proxy.py`, modify the route definitions:
-
-```python
-from functools import partial
-
-# Near the top where other routes are defined:
-chat_completions_handler = partial(
-    chat_completions,
-    mcp_gateway_url="http://localhost:4444/mcp",
-    access_tokens=ACCESS_TOKENS
-)
-
-list_models_handler = partial(
-    list_models,
-    gateway_config={"backends": BACKENDS}
-)
-```
-
-Then update the routes:
-
-```python
-        Route("/v1/models", list_models_handler, methods=["GET"]),
-        Route("/v1/chat/completions", chat_completions_handler, methods=["POST"]),
-```
-
-## Using with Open-UI
-
-Once integrated and running:
-
-1. **Gateway URL**: `https://mcp.wilddragon.net` (or your gateway URL)
-2. **API Base URL in Open-UI**: `https://mcp.wilddragon.net/v1`
-3. **Model**: `mcp-gateway`
-4. **Bearer Token**: Use your generated token
-
-### In Open-UI Admin Panel:
-
-1. Go to Admin → Settings → Connections
-2. Scroll to "Direct Connections"
-3. Add new direct connection:
-   - **API Base URL**: `https://mcp.wilddragon.net/v1`
-   - **API Key**: Your bearer token
-
-## API Endpoints
-
-### `GET /v1/models`
-List available models. Returns the MCP Gateway as a model option.
-
-**Example:**
-```bash
-curl -H "Authorization: Bearer YOUR_TOKEN" \
-  https://mcp.wilddragon.net/v1/models
-```
-
-### `POST /v1/chat/completions`
-OpenAI-compatible chat completions endpoint.
-
-**Example:**
-```bash
-curl -X POST \
-  -H "Authorization: Bearer YOUR_TOKEN" \
-  -H "Content-Type: application/json" \
-  -d '{
-    "model": "mcp-gateway",
-    "messages": [
-      {"role": "user", "content": "What tools are available?"}
-    ]
-  }' \
-  https://mcp.wilddragon.net/v1/chat/completions
-```
-
-## What's Currently Supported
-
-✅ **Available tools listing** - Shows all available MCP tools
-✅ **Bearer token authentication** - Uses your existing OAuth tokens
-✅ **Streaming responses** - OpenAI-compatible streaming format
-✅ **Standard OpenAI request/response format**
-
-## Next Steps (Optional Enhancements)
-
-1. **Tool Calling**: Implement actual tool execution via MCP
-2. **System Prompts**: Add custom system prompts for tool use
-3. **Session Management**: Preserve MCP session state across requests
-4. **Error Handling**: More detailed error messages for tool failures
-
-## Troubleshooting
-
-**"Unauthorized" error**: Make sure your bearer token is valid. Check that it's in `ACCESS_TOKENS` on the gateway.
-
-**"No user message found"**: Ensure the request includes at least one message with role `"user"`.
-
-**Tools not showing**: Check that your MCP backends are initialized and responding to `tools/list` requests.
-
-## Files
-
-- `gateway-proxy/openai_routes.py` - OpenAI-compatible route handlers
-- `openai_adapter.py` - Adapter class (optional, for more advanced usage)