Add query endpoint

server/fastapi_server.py

@@ -44,7 +44,7 @@
     create_investor_agent_toolkit,
     create_analytics_agent_toolkit,
 )
-from subnet.subnet_methods import subnet_evaluation
+from subnet.subnet_methods import subnet_evaluation, subnet_query
 from subnet.api_types import QuantQuery, QuantResponse
 from langchain_openai import ChatOpenAI
 from server.invitecode import InviteCodeManager
@@ -448,6 +448,57 @@ async def evaluate_subnet_response(
             logging.error(f"Traceback: {traceback.format_exc()}")
             raise HTTPException(status_code=500, detail="Internal server error")
 
+    @app.post("/api/subnet/query")
+    async def subnet_query_endpoint(
+        request: Request,
+    ):
+        """
+        Handle subnet queries without authentication.
+
+        Expected request body:
+        {
+            "query": "string",
+            "userID": "string",
+            "metadata": {}
+        }
+
+        Returns:
+        {
+            "response": "string",
+            "signature": "bytes",
+            "proofs": [],
+            "metadata": {}
+        }
+        """
+        try:
+            request_data = await request.json()
+
+            # Validate required fields
+            if "query" not in request_data:
+                raise HTTPException(
+                    status_code=400, 
+                    detail="Query is required"
+                )
+
+            # Parse the request data into QuantQuery object
+            quant_query = QuantQuery(**request_data)
+
+            # Call the actual subnet query function
+            quant_response = await asyncio.to_thread(subnet_query, quant_query)
+
+            if quant_response is None:
+                raise HTTPException(status_code=500, detail="Subnet query failed")
+
+            return quant_response.model_dump()
+
+        except ValidationError as e:
+            logging.error(f"Validation error in subnet query: {e}")
+            raise HTTPException(status_code=400, detail=str(e))
+        except Exception as e:
+            logging.error(f"Error in subnet query: {e}")
+            logging.error(f"Traceback: {traceback.format_exc()}")
+            raise HTTPException(status_code=500, detail="Internal server error")
+
     # @app.post("/api/sentient/assist")
     async def sentient_assist(
         request: Request,

subnet/subnet_methods.py

@@ -175,7 +175,7 @@ def subnet_query(quant_query: QuantQuery) -> QuantResponse:
     }
 
     # Set the endpoint
-    endpoint = "http://127.0.0.1:5000/api/agent/run"
+    endpoint = "http://127.0.0.1:5000/api/v2/agent/run"
 
     # Format the message
     message = {"type": "user", "message": quant_query.query}