Worked on the rungalileo/galileo-python repository to develop an Agent Control Target Helper, enabling more robust target resolution from the Galileo context. This feature introduced new resolution methods and comprehensive error handling, supporting smoother agent workflows and improved telemetry correlation. The implementation focused on backend development and API integration, leveraging Python to create a stable target-resolution layer that enhances the integration with Agent Control telemetry. Unit testing was used to ensure reliability and maintainability, with clear commit messages documenting the process. The work laid a technical foundation for future telemetry features and broader Agent Control coverage within the repository’s architecture.