test websearch

Agents/agent.py

@@ -218,8 +218,8 @@ def build_graph(provider: str="groq"):
         print(f"Running llm groq")
         llm=ChatGroq(groq_api_key=GROQ_API_KEY,model="qwen/qwen3-32b",temperature=0)
         #webreturn = webSearch.invoke({"searchQuery":"principle of double effect Wikipedia page history St. Thomas Aquinas image added date"})
-        multiple = str(multiply.invoke({"a": 2, "b": 3}))
-        print(f"WebReturn : {multiple}")
+        #multiple = str(multiply.invoke({"a": 2, "b": 3}))
+        #print(f"WebReturn : {multiple}")
     elif provider == "huggingface":
         print(f"huggingface")
         llm = ChatHuggingFace(
@@ -239,9 +239,9 @@ def build_graph(provider: str="groq"):
 
     def assistant(state: MessagesState):
         msg = state["messages"]
-        print(f"invoke llmwithtools with state message = {msg}")
+        #print(f"invoke llmwithtools with state message = {msg}")
         msgbind = llmWithTools.invoke(state["messages"])
-        print(f"msgBind{msgbind}")
+        #print(f"msgBind{msgbind}")
         return {"messages": [llmWithTools.invoke(state["messages"])]}
     '''
     def retriever(state: MessagesState):

app.py

@@ -52,15 +52,14 @@ class BasicAgent:
             print(f"Message = {messages}")
             messages = self.graph.invoke({"messages": formattedMessage},config={"callbacks": [langfuse_handler]})
 
-        self.graph.get_graph().draw_mermaid_png()
+        #self.graph.get_graph().draw_mermaid_png()
         answer = messages['messages'][-1].content
-        tools_calls = messages[-1].tool_calls
-        print(f"tool calls : {str(tools_calls)}")
-        print(messages[-1].__dict__)
-        print(f"full answer : {answer}")
-        print("Assistant Output:", messages[-1])
-              
-        return answer[14:]
+        #tools_calls = messages[-1].tool_calls
+        #print(f"tool calls : {str(tools_calls)}")
+        #print(messages[-1].__dict__)
+        #print(f"full answer : {answer}")
+        #print("Assistant Output:", messages[-1])
+        return answer[50:]
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -114,7 +113,6 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
         results_df = pd.DataFrame([])
         return status_message, results_df
     else:
-
         # 2. Fetch Questions
         print(f"Fetching questions from: {questions_url}")
         try: