Fix: Remove invalid additional_prompting parameter

- CodeAgent doesn't support additional_prompting parameter
- Instead, prepend optimization instructions to user message
- Instructs agent to execute code immediately without explanation
- Achieves same goal of skipping preliminary step

app.py

@@ -33,27 +33,12 @@ def create_agent():
         GetAdInsightsTool(),
     ]
     
-    # Create the agent with optimized settings
+    # Create the agent
     agent = CodeAgent(
         tools=tools,
         model=model,
         max_steps=10,
         verbosity_level=1,
-        additional_prompting="""You are a Meta Ads assistant. When the user asks a question:
-1. IMMEDIATELY write and execute code using the available tools
-2. DO NOT explain what you will do first - just do it
-3. Write code in the format: <code>tool_result = tool_name(params)</code>
-4. After getting results, call final_answer() with the results
-
-Example:
-User: "Show me all my ad accounts"
-Your response should be:
-<code>
-accounts = get_ad_accounts()
-final_answer(accounts)
-</code>
-
-Be direct and efficient. Execute code immediately without preliminary explanations."""
     )
     
     return agent
@@ -73,9 +58,19 @@ def respond(
         # Create the agent
         agent = create_agent()
         
-        # Run the agent directly with the user's message
-        # The agent already has instructions in additional_prompting
-        response = agent.run(message)
+        # Add optimized instructions to make the agent execute code immediately
+        optimized_message = f"""Execute the following request immediately using the available tools. Do NOT explain what you will do - just write and execute the code directly.
+
+User request: {message}
+
+Instructions:
+- Write code in <code> tags and execute it immediately
+- Use the available tools: get_ad_accounts(), get_campaigns(), get_adsets(), get_ads(), get_ad_insights()
+- After getting results, call final_answer() with the results
+- Be direct and efficient"""
+        
+        # Run the agent
+        response = agent.run(optimized_message)
         
         yield str(response)