Proxy config

tools/generate_image.py

@@ -106,7 +106,7 @@ async def handle(args: Dict[str, Any]) -> List[Dict[str, Any]]:
     res_cfg = load_toml(config.RES_PRESETS_PATH)
     
     if model_name not in models_cfg:
-        raise ToolError(f"Model '{model_name}' not found in presets. Available: {', '.join(models_cfg.keys())}")
+        raise ToolError(f"Model '{model_name}' not found in presets. Please call get_model_info to see available models and their correct names.")
     
     model_preset = models_cfg[model_name]
 
@@ -187,9 +187,9 @@ async def handle(args: Dict[str, Any]) -> List[Dict[str, Any]]:
             raise ToolError(f"Could not extract file path from SD URL: {sd_img_url}")
 
         # Construct proxy URL through our MCP server
-        # We strip leading slash from raw_path to avoid double slashes in the proxy URL if we want, 
-        # but the current endpoint handles it.
-        proxy_url = f"http://localhost:{config.PORT}/file{raw_path}"
+        # Use the captured request host to ensure links work across the network
+        host = config.request_host.get()
+        proxy_url = f"http://{host}/file{raw_path}"
         
         # Download the image and convert to base64 for the AI's vision
         img_resp = await asyncio.to_thread(requests.get, sd_img_url, timeout=30)