Add Areas

llm.py

@@ -90,25 +90,25 @@ def query_gemini(questions, contexts, max_retries=3):
             if not content.startswith("ERROR"):
                 webresults += f"\n\nRetrieved from {link}:\n{content}"
                 
-    # payload = {
-    #     "questions": questions,
-    #     "contexts": contexts,
-    #     "previousResults":"No Online Search Result Found Need to Search"
-    # }
-
-    # # Send to your webhook agent
-    # webhook_url = "https://hook.eu2.make.com/4put6461oi3aglumsu48ciuv6bj57yb1"
-
-    # try:
-    #     resp = requests.post(webhook_url, json=payload, timeout=30)
-    #     resp.raise_for_status()
-    #     print("Webhook raw response:", resp.text)  # Debug print to see what you actually got back
-    #     webhook_response = resp.json()  # This will fail if resp.text is not valid JSON
-    #     enriched_context = webhook_response.get("enriched_context", "")
-
-    # except Exception as e:
-    #     print(f"Webhook call failed: {e}")
-    #     enriched_context = "\n\n".join(contexts) 
+    payload = {
+        "questions": questions,
+        "contexts": contexts,
+        "previousResults":"Search Result Datas from The Ai Agent With RealTime Data Access"
+    }
+
+    # Send to your webhook agent
+    webhook_url = "https://hook.us2.make.com/wnsitnljjvqyk2p1d2htl5v1o8hrcodk"
+
+    try:
+        resp = requests.post(webhook_url, json=payload, timeout=30)
+        resp.raise_for_status()
+        print("Webhook raw response:", resp.text)  # Debug print to see what you actually got back
+        webhook_response = resp.json()  # This will fail if resp.text is not valid JSON
+        enriched_context = webhook_response.get("enriched_context", "")
+
+    except Exception as e:
+        print(f"Webhook call failed: {e}")
+        enriched_context = "\n\n".join(contexts) 
 
     # Prompt building
     t0 = time.perf_counter()