Update gaia_agent.py
Browse files- gaia_agent.py +31 -13
gaia_agent.py
CHANGED
@@ -73,7 +73,7 @@ class EnhancedGAIAAgent:
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task_id: Optional task ID for the GAIA benchmark
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Returns:
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"""
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print(f"Processing question: {question}")
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@@ -87,8 +87,12 @@ class EnhancedGAIAAgent:
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# Ensure answer is concise and specific
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model_answer = self._ensure_concise_answer(model_answer, question_type)
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# FIXED: Return
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def _generate_reasoning_trace(self, question: str, question_type: str) -> str:
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"""Generate a reasoning trace for the question if appropriate."""
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@@ -537,10 +541,15 @@ class EvaluationRunner:
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continue
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try:
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# FIXED: No need to parse JSON, just use the answer directly
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answers_payload.append({
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"task_id": task_id,
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"submitted_answer": submitted_answer
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@@ -549,7 +558,8 @@ class EvaluationRunner:
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results_log.append({
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"Task ID": task_id,
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"Question": question_text,
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"Submitted Answer": submitted_answer
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})
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except Exception as e:
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print(f"Error running agent on task {task_id}: {e}")
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@@ -704,15 +714,23 @@ def test_agent():
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# Generate a mock task_id for testing
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task_id = f"test_{hash(question) % 10000}"
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# Get
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print(f"\nQ: {question}")
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print(f"
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# Print test summary with correct answer count
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print("\n===== TEST SUMMARY =====")
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task_id: Optional task ID for the GAIA benchmark
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Returns:
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JSON string with final_answer key
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"""
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print(f"Processing question: {question}")
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# Ensure answer is concise and specific
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model_answer = self._ensure_concise_answer(model_answer, question_type)
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# FIXED: Return JSON with final_answer key
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response = {
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"final_answer": model_answer
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}
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return json.dumps(response)
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def _generate_reasoning_trace(self, question: str, question_type: str) -> str:
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"""Generate a reasoning trace for the question if appropriate."""
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continue
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try:
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# Call agent with task_id to ensure proper formatting
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json_response = agent(question_text, task_id)
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# Parse the JSON response
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response_obj = json.loads(json_response)
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# Extract the final_answer for submission
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submitted_answer = response_obj.get("final_answer", "")
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answers_payload.append({
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"task_id": task_id,
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"submitted_answer": submitted_answer
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results_log.append({
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"Task ID": task_id,
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"Question": question_text,
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"Submitted Answer": submitted_answer,
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"Full Response": json_response
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})
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except Exception as e:
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print(f"Error running agent on task {task_id}: {e}")
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# Generate a mock task_id for testing
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task_id = f"test_{hash(question) % 10000}"
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# Get JSON response with final_answer
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json_response = agent(question, task_id)
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print(f"\nQ: {question}")
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print(f"Response: {json_response}")
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# Parse and print the final_answer for clarity
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try:
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response_obj = json.loads(json_response)
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final_answer = response_obj.get('final_answer', '')
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print(f"Final Answer: {final_answer}")
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# For testing purposes, simulate correct answers
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if len(final_answer) > 0 and not final_answer.startswith("AGENT ERROR"):
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correct_count += 1
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except:
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print("Error parsing JSON response")
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# Print test summary with correct answer count
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print("\n===== TEST SUMMARY =====")
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