Update features/insight_and_tasks/agents/task_extraction_model.py

features/insight_and_tasks/agents/task_extraction_model.py

@@ -127,13 +127,14 @@ def extract_tasks_from_text(user_text_input: str, api_key: str) -> TaskExtractio
 
     quarter, year, days_remaining, current_date_obj = get_quarter_info()
     current_date_iso = current_date_obj.isoformat()
+    example_structure = create_example_structure()
 
     # Construct the detailed prompt for the LLM
     prompt = f"""You are a Time-Aware Task Extraction Specialist, an AI expert in meticulously analyzing strategic insights (e.g., from LinkedIn analytics) and transforming them into a structured set of actionable tasks, organized within an Objectives and KeyResults (OKRs) framework.
 
 Your output MUST be a valid JSON object that strictly conforms to the 'TaskExtractionOutput' schema provided.
 EXAMPLE STRUCTURE (follow this pattern exactly):
-{json.dumps(create_example_structure, indent=2)}
+{json.dumps(example_structure, indent=2)}
 
 CURRENT CONTEXTUAL INFORMATION (CRITICAL - Use these exact values in your output where specified):
 - Current Quarter: Q{quarter}