May 2026 focused on optimizing the evaluator workflow in coze-loop by introducing an Intercept-based skip rule, broadening control over evaluation runs, and enhancing test coverage and error handling. The work improved throughput, reduced unnecessary compute, and improved run-state visibility for evaluator records across the evaluation pipeline.

April 2026 monthly summary for coze-loop focusing on reliability improvements and evaluation workflow enhancements. Delivered key features to improve event publishing reliability and to refresh async evaluator records during evaluation, with strong test coverage; these changes improved robustness, reduced flaky behavior, and ensured up-to-date evaluation state. Technologies include Go and gomock; commits and changes are described below.

March 2026 highlights for coze-loop focus on scaling evaluator workloads, expanding built-in and agent-based evaluation capabilities, and strengthening observability and API alignment. Key initiatives delivered, bugs addressed, and the resulting business impact are outlined below. 1) Key features delivered - Agent Evaluator Support: introduced asynchronous operation for agent evaluators, including new methods, async run/debug support, configurations/validation, and associated OpenAPI/domain model conversion utilities. Implemented agent evaluator version conversion logic and added extra output support to enrich evaluation reporting. Added tracking of evaluator runs through record creation for observability. - Builtin Evaluators by ID or Name API Endpoints: launched a streamlined API to run builtin evaluators by ID or name with proper version visibility, plus backend repo/service methods and updated tests. This enables faster, self-service evaluation workflows. - OpenAPI/Agent Integrations: expanded agent evaluator support in OpenAPI with AgentConfig and SkillConfig scaffolding, converter logic between domain and OpenAPI models, and agent-type handling within the evaluation pipeline. - Data/Output Handling Enhancements: introduced URI-to-URL transformation for extra evaluator outputs and enhanced output storage for extended results. 2) Major bugs fixed - Reliability of async evaluation reporting: added a modifyFunc hook to PublishExptRecordEvalEvent to allow safe pre-publish adjustments and prevent async report targets from skipping evaluator executions. - General cleanup and stabilization: address cleanup in agent evaluator APIs and related endpoint routing to reduce dead code and improve maintainability. 3) Overall impact and accomplishments - Business value: faster, scalable evaluation cycles with both agent-based and builtin evaluators, improved governance and auditability through run-records and traceability, and broader coverage of evaluation scenarios. - Operational stability: reduced risk of skipped async evaluations and clearer end-to-end signal through tracing and observability improvements, enabling faster issue detection and resolution. 4) Technologies/skills demonstrated - Go service architecture with async execution patterns, OpenAPI/Thrift model conversions, and version handling for evaluators. - API design and endpoint consolidation for builtin evaluators, with corresponding repository/service methods and tests. - Enhanced observability: trace IDs for async operations and enhanced reporting structures. - Data layer improvements: Redis list management extensions (LRange/LTrim) and robust handling of extra evaluator outputs.

January 2026 monthly summary for coze-loop development efforts emphasizing the new modular Third-Party Service Evaluator Framework and associated reliability work. Deliveries focused on business value: configurable, extensible evaluation of external services, safer experiment execution, and maintainable integration with experiment configurations.