Create myagent.py

myagent.py

@@ -0,0 +1,59 @@
+import os
+from smolagents import CodeAgent, ToolCallingAgent
+from smolagents import OpenAIServerModel
+from tools.fetch import fetch_webpage
+from tools.yttranscript import get_youtube_transcript, get_youtube_title_description
+import myprompts
+
+# --- Basic Agent Definition ---
+class BasicAgent:
+    def __init__(self):
+        print("BasicAgent initialized.")
+    def __call__(self, question: str) -> str:
+
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+
+        try:
+            # Use the reviewer agent to determine if the question can be answered by a model or requires code
+            print("Calling reviewer agent...")
+            reviewer_answer = reviewer_agent.run(myprompts.review_prompt + "\nThe question is:\n" + question)
+            print(f"Reviewer agent answer: {reviewer_answer}")
+
+            question = question + '\n' + myprompts.output_format
+            fixed_answer = ""
+
+            if reviewer_answer == "code":
+                fixed_answer = gaia_agent.run(question)
+                print(f"Code agent answer: {fixed_answer}")
+                
+            elif reviewer_answer == "model":    
+                # If the reviewer agent suggests using the model, we can proceed with the model agent
+                print("Using model agent to answer the question.")
+                fixed_answer = model_agent.run(myprompts.model_prompt + "\nThe question is:\n" + question)
+                print(f"Model agent answer: {fixed_answer}")
+
+            return fixed_answer
+        except Exception as e:
+            error = f"An error occurred while processing the question: {e}"
+            print(error)
+            return error
+
+        
+      
+    
+model = OpenAIServerModel(
+    model_id="gpt-4.1-nano",
+    api_base="https://api.openai.com/v1",
+    api_key=os.environ["OPENAI_API_KEY"],
+)
+
+reviewer_agent= ToolCallingAgent(model=model, tools=[])
+model_agent = ToolCallingAgent(model=model,tools=[fetch_webpage])
+gaia_agent = CodeAgent(tools=[fetch_webpage,get_youtube_title_description,get_youtube_transcript ], model=model)
+
+if __name__ == "__main__":
+    # Example usage
+    question = "What was the actual enrollment of the Malko competition in 2023?"
+    agent = BasicAgent()
+    answer = agent(question)
+    print(f"Answer: {answer}")