Update config.py

config.py

@@ -68,6 +68,16 @@ class AppConfig:
     
     # Enhanced Inference Providers supporting GPT OSS models
     INFERENCE_PROVIDERS = {
+        "auto": {
+            "name": "Auto (Router)",
+            "description": "Let the HF router automatically choose the best provider",
+            "supports_120b": True,
+            "supports_20b": True,
+            "endpoint_suffix": None,  # Omit suffix to use router auto selection
+            "speed": "Varies",
+            "recommended_for": ["getting-started", "automatic"],
+            "max_context_support": 128000
+        },
         "cerebras": {
             "name": "Cerebras",
             "description": "World-record inference speeds (2-4k tokens/sec for GPT-OSS)",
@@ -151,6 +161,10 @@ class AppConfig:
         provider = cls.INFERENCE_PROVIDERS[provider_id]
         available_models = []
         
+        # Auto provider exposes all models (router decides)
+        if provider_id == "auto":
+            return list(cls.AVAILABLE_MODELS.keys())
+
         for model_id, model_info in cls.AVAILABLE_MODELS.items():
             # If model declares explicit providers, honor that
             if "providers" in model_info:
@@ -182,7 +196,11 @@ class AppConfig:
             raise ValueError(f"Unknown provider: {provider_id}")
         
         provider = cls.INFERENCE_PROVIDERS[provider_id]
-        return f"{model_id}:{provider['endpoint_suffix']}"
+        # For 'auto', omit provider suffix and let router choose
+        endpoint_suffix = provider.get('endpoint_suffix')
+        if provider_id == 'auto' or not endpoint_suffix:
+            return model_id
+        return f"{model_id}:{endpoint_suffix}"
     
     @classmethod
     def get_optimal_context_settings(cls, model_id: str, provider_id: str, mcp_servers_count: int = 0) -> Dict[str, int]: