
Over eight months, contributed to the coze-dev/coze-loop repository by designing and implementing backend systems for evaluation workflows using Go and Thrift. Developed new API endpoints and enhanced the evaluation module to support diverse agent types, video content, and trajectory data, enabling automated and reproducible experiment management. Focused on robust API development with OpenAPI and REST, improving observability, error handling, and dependency management for safer deployments. Introduced features such as experiment-evaluation association, dynamic runtime overrides, and source version retrieval, while maintaining stability through comprehensive unit testing and targeted bug fixes. The work emphasized extensibility, maintainability, and integration with external tooling.
May 2026: Delivered key enhancements to the Experiment Evaluation and Template Submission workflows in coze-loop. Implemented a retry API endpoint in the evaluation module that supports new A2AAgent and CustomAgent types, and added TargetRuntimeParam to SubmitExptFromTemplateOApiRequest to enable dynamic runtime overrides when submitting experiments from templates. These updates streamline experimentation cycles, reduce manual steps, and broaden agent interoperability, directly improving velocity and reliability of experimentation work. Technologies demonstrated include REST/OpenAPI API design, backend service integration, and robust type contracts for template-driven submissions.
May 2026: Delivered key enhancements to the Experiment Evaluation and Template Submission workflows in coze-loop. Implemented a retry API endpoint in the evaluation module that supports new A2AAgent and CustomAgent types, and added TargetRuntimeParam to SubmitExptFromTemplateOApiRequest to enable dynamic runtime overrides when submitting experiments from templates. These updates streamline experimentation cycles, reduce manual steps, and broaden agent interoperability, directly improving velocity and reliability of experimentation work. Technologies demonstrated include REST/OpenAPI API design, backend service integration, and robust type contracts for template-driven submissions.
April 2026 monthly summary for coze-dev/coze-loop: Delivered a new Evaluation Framework API endpoint for retrieving the source version of evaluation targets, including support for web agents and their configurations. Implemented a targeted fix in the ai native evaluation path to stabilize evaluation workflows. These changes improve reproducibility, configurability, and overall reliability of evaluation runs across agents.
April 2026 monthly summary for coze-dev/coze-loop: Delivered a new Evaluation Framework API endpoint for retrieving the source version of evaluation targets, including support for web agents and their configurations. Implemented a targeted fix in the ai native evaluation path to stabilize evaluation workflows. These changes improve reproducibility, configurability, and overall reliability of evaluation runs across agents.
February 2026 (2026-02): Delivered Video Evaluation Feature in coze-loop, enabling evaluation of video content with support for video content types, metadata handling, and conversion logic for video data structures. API DTOs were enhanced to include video attributes in responses. Fixed a critical bug in the video evaluation path to improve stability and metadata propagation. This work broadens media content support, improves data fidelity in API responses, and strengthens the platform's media evaluation capabilities.
February 2026 (2026-02): Delivered Video Evaluation Feature in coze-loop, enabling evaluation of video content with support for video content types, metadata handling, and conversion logic for video data structures. API DTOs were enhanced to include video attributes in responses. Fixed a critical bug in the video evaluation path to improve stability and metadata propagation. This work broadens media content support, improves data fidelity in API responses, and strengthens the platform's media evaluation capabilities.
January 2026 (coze-loop) delivered the Experiment-Evaluation Association Enhancement, adding ExptID to evaluation parameters and methods to link experiments with evaluations, enabling end-to-end tracking and analytics across evaluation workflows. The change improves attribution, analytics visibility, and data quality for evaluation processes.
January 2026 (coze-loop) delivered the Experiment-Evaluation Association Enhancement, adding ExptID to evaluation parameters and methods to link experiments with evaluations, enabling end-to-end tracking and analytics across evaluation workflows. The change improves attribution, analytics visibility, and data quality for evaluation processes.
December 2025 monthly summary for coze-loop focused on delivering trajectory evaluation support to enhance analytics capabilities and trajectory data handling within the evaluation module. The work emphasizes feature delivery with an emphasis on stability, maintainability, and future extensibility. No critical bugs fixed this month; the priority was implementing new functionality and setting up a robust foundation for upcoming trajectory-based analytics.
December 2025 monthly summary for coze-loop focused on delivering trajectory evaluation support to enhance analytics capabilities and trajectory data handling within the evaluation module. The work emphasizes feature delivery with an emphasis on stability, maintainability, and future extensibility. No critical bugs fixed this month; the priority was implementing new functionality and setting up a robust foundation for upcoming trajectory-based analytics.
November 2025: Delivered a new OpenAPI-based API surface in coze-loop to support evaluation workflows. The work enables automated submission, retrieval, and management of evaluation experiments, evaluation sets, and results, laying a foundation for reproducible experiments and easier integration with external tooling. Focused on a clean API contract and robust commit traceability to support future enhancements and automation.
November 2025: Delivered a new OpenAPI-based API surface in coze-loop to support evaluation workflows. The work enables automated submission, retrieval, and management of evaluation experiments, evaluation sets, and results, laying a foundation for reproducible experiments and easier integration with external tooling. Focused on a clean API contract and robust commit traceability to support future enhancements and automation.
October 2025 monthly summary for coze-loop focusing on delivering configurable evaluation workflows and improving observability. Key delivery includes custom RPC target support in the evaluation module and robustness improvements to the metrics subsystem, with tests and thread-safe initialization.
October 2025 monthly summary for coze-loop focusing on delivering configurable evaluation workflows and improving observability. Key delivery includes custom RPC target support in the evaluation module and robustness improvements to the metrics subsystem, with tests and thread-safe initialization.
September 2025 Monthly Summary for coze-loop (coze-dev/coze-loop). Delivered new evaluation target support and improved reliability through refactoring and testing across the evaluation flow. Key focus was expanding capabilities for evaluation targets, stabilizing the tracer/evaluation pipeline, and ensuring safer releases through better dependency management and test coverage.
September 2025 Monthly Summary for coze-loop (coze-dev/coze-loop). Delivered new evaluation target support and improved reliability through refactoring and testing across the evaluation flow. Key focus was expanding capabilities for evaluation targets, stabilizing the tracer/evaluation pipeline, and ensuring safer releases through better dependency management and test coverage.

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