Add new Rules

llm.py

@@ -89,26 +89,27 @@ def query_gemini(questions, contexts, max_retries=3):
         for link, content in fetched_results.items():
             if not content.startswith("ERROR"):
                 webresults += f"\n\nRetrieved from {link}:\n{content}"
-                
-    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=15)
-        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"
+        }
+        webhook_url = "https://hook.us2.make.com/wnsitnljjvqyk2p1d2htl5v1o8hrcodk"
+
+
+        try:
+            resp = requests.post(webhook_url, json=payload, timeout=15)
+            resp.raise_for_status()
+            print("Webhook raw response:", resp.text)
+            webhook_response = resp.json()
+            enriched_context = webhook_response.get("enriched_context", "")
+        except Exception as e:
+            print(f"Webhook call failed: {e}")
+            enriched_context = "\n\n".join(contexts) 
+    else:
+        print("⚠️ No URLs found — skipping agent/webhook call.")
+        enriched_context = "\n\n".join(contexts)
 
     # Prompt building
     t0 = time.perf_counter()
@@ -139,8 +140,9 @@ Your job:
 
 
 
-*IMPORTANT LANGUAGE RULE:*
+*IMPORTANT LANGUAGE RULE:*(Mandatory to follow this rule strictly)
 - For EACH question, FIRST detect the language of that specific question.
+- If Context is Different From The Input Question Lnaguage Then Convert The Context Language To The Question Language And Give Response In Question Language Only.(***Completely Mandatory to follow this rule strictly.***)
 - Then generate the answer in THAT SAME language, regardless of the languages used in other questions or in the provided context.
 - If Given Questions Contains Two Malayalam and Two English Then You Should also Give Like Two Malayalam Questions answer in Malayalam and Two English Questions answer in English.** Mandatory to follow this rule strictly. **
 - Context is Another Language from Question Convert Content TO Question Language And Gives Response in Question Language Only.(##Mandatory to follow this rule strictly.)