Enhance AgentRunner and graph functionality by introducing memory management and improved state handling. Update __call__ method to support both question input and resuming from interrupts, while adding new memory-related fields to track context, actions, and success/error counts. Refactor step callback logic for better user interaction and state management.

Refactor graph.py and test_agent.py by removing unused imports to streamline code and improve readability. This includes the removal of uuid, requests, and unnecessary components from langchain_core.

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 test_agent.py with unit tests for AgentRunner functionality, including tests for question handling and basic math calculations. Implement logging for better traceability during tests.