Worked on enhancing observability and reliability in Python-based agent frameworks, focusing on logging improvements and maintainability. In the huggingface/smolagents repository, refactored the E2BExecutor initialization to bring the logger online earlier, enabling more effective debugging during startup without altering core behavior. For mozilla-ai/any-agent, addressed logging consistency by updating result handling to use str conversion and broadened type hints to support diverse return types, improving incident response and debugging efficiency. Applied skills in code refactoring, debugging, and software development to deliver targeted changes that improved development workflows and established patterns for future instrumentation, emphasizing maintainable and reliable codebases.