Refactor main_v2.py to update task formatting for dual answer requests, enhancing response structure. Implement error handling for JSON parsing in agent results, ensuring robust output. Add unit tests in test_questions.py to validate succinct answer accuracy against expected values. Remove unused extract_final_answer utility from utils.py, streamlining the codebase.

Refactor app.py to comment out global question_counter and related logic, simplifying the agent's question handling. This change prepares for potential future enhancements while maintaining current functionality.

Refactor app.py to import main from main_v2.py, enhancing modularity. Introduce main_v2.py with a new agent implementation, including OpenTelemetry integration and YAML-based prompt templates. Update requirements.txt to reflect the latest smolagents version. Add tasks.json for VSCode to streamline development workflows.

Enhance agent capabilities by integrating YAML-based prompt templates for web, data analysis, and media agents in agents.py. Update main.py to initialize agents with these templates, improving task handling and response accuracy. Introduce utility functions for extracting final answers and managing prompts, streamlining the overall agent workflow.

Implement question counter in BasicAgent and modify response logic in app.py. Update main function in main.py to streamline task execution and improve logging. Prepare for potential rate limiting with a placeholder for wait time.

Add .env.example for API configuration and update .gitignore to exclude .env files. Refactor app.py to implement BasicAgent class, replacing AgentRunner, and improve error handling and logging. Remove unused configuration and graph modules to streamline the codebase.

Refactor app.py and update import paths in test_agent.py to improve code organization. Introduce new files for agent configuration, graph definition, and tools, enhancing the overall structure and functionality of the agent system.

Refactor agent.py and graph.py to enhance agent functionality and logging. Introduce Configuration class for managing parameters, improve state handling in AgentRunner, and update agent graph to support step logging and user interaction. Add new tests for agent capabilities and update requirements for code formatting tools.

Add initial implementation of AgentRunner and agent graph; include .gitignore and update requirements

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