Create planner.py

planner.py

@@ -0,0 +1,16 @@
+# planner.py
+from gradio_client import Client
+
+# Connect to your Hugging Face Space
+client = Client("shreyab21/aegis-reasoner")
+
+def llama_reason(query: str) -> str:
+    """
+    Sends the query to the remote Reasoner Space (on Hugging Face)
+    and returns the generated reasoning response.
+    """
+    try:
+        result = client.predict(query=query, api_name="/predict")
+        return result
+    except Exception as e:
+        return f"⚠️ Reasoner error: {e}"