Update app.py

app.py

@@ -921,21 +921,34 @@ REMEMBER: One tool per turn. No reasoning without tools. Exact answer format.
 #        except Exception as e:
 #            print(f"❌ Error initializing HuggingFace: {e}")
 #            raise
-#
-        print("Initializing Google Gemini LLM...")
-        try:
-            self.llm_with_tools = ChatGoogleGenerativeAI(
-                model="gemini-2.5-flash",  # Latest model
-                google_api_key=GOOGLE_API_KEY,
-                temperature=0,
-                max_output_tokens=8192,
-                timeout=60,
-                convert_system_message_to_human=True  # Important for Gemini
-            ).bind_tools(self.tools, tool_choice="auto")
-            print("✅ Gemini LLM initialized.")
-        except Exception as e:
-            print(f"❌ Error initializing Gemini: {e}")
-            raise
+#        print("Initializing LLM Endpoint...")
+        llm = HuggingFaceEndpoint(
+            repo_id="Qwen/Qwen2.5-Coder-32B-Instruct", # Changed model
+            huggingfacehub_api_token=HUGGINGFACEHUB_API_TOKEN,
+            max_new_tokens=2048, # Increased token limit for potentially longer reasoning/tool use
+            temperature=0.01, # Keep temperature low for factual tasks
+        )
+        chat_llm = ChatHuggingFace(llm=llm)
+        print("✅ LLM Endpoint initialized.")
+
+        # 6. Bind tools to the LLM
+        # Ensure the LLM knows how to format calls for the tools
+        self.llm_with_tools = chat_llm.bind_tools(self.tools)
+        print("✅ Tools bound to LLM.")
+#        print("Initializing Google Gemini LLM...")
+#        try:
+#            self.llm_with_tools = ChatGoogleGenerativeAI(
+#                model="gemini-2.5-flash",  # Latest model
+#                google_api_key=GOOGLE_API_KEY,
+#                temperature=0,
+#                max_output_tokens=8192,
+#                timeout=60,
+#                convert_system_message_to_human=True  # Important for Gemini
+#            ).bind_tools(self.tools, tool_choice="auto")
+#            print("✅ Gemini LLM initialized.")
+#        except Exception as e:
+#            print(f"❌ Error initializing Gemini: {e}")
+#            raise
             
         # Agent Node with AGGRESSIVE tool forcing
         def agent_node(state: AgentState):