feat(examples): add evaluation + optimization closed-loop pipeline#139
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coder-mtj wants to merge 3 commits into
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feat(examples): add evaluation + optimization closed-loop pipeline#139coder-mtj wants to merge 3 commits into
coder-mtj wants to merge 3 commits into
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Implements trpc-group#91 — reproducible Evaluation + Optimization pipeline: - Config loading (optimizer.json + evalsets validated) - Baseline evaluation (fake mode with trace evalsets + SDK path) - Failure attribution (10 categories: tool errors, rubric, format, etc.) - Multi-dimensional gate (improvement threshold, critical cases, cost budget) - Validation set comparison (new passes/failures, overfitting detection) - JSON + Markdown report with full audit trail - 6 train+val evalset cases (3 optimizable, 1 degrading, 1 format, 1 edge) - 35 tests covering config, baseline, attribution, gate, validation, report, integration Signed-off-by: coder-mtj <coder-mtj@users.noreply.github.com>
Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
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…overage - Add pipeline/optimize.py: GEPA optimization wrapper (fake + live modes) - Add pipeline/tracing.py: audit trail with seed/timing/cost/reproduce - Add agent/ package: calculator agent for optimization testing - Update run_pipeline.py: integrate new modules, AuditTracer, enhanced CLI - Split monolithic test file into 14 focused test files - Expand from 35 to 189 tests (5.4x increase) - Add 6-dimensional test coverage: unit, integration, mock data, edge/boundary, regression, performance - Enhance evalsets: 34 train + 16 val + 12 holdout cases (multi-domain: math, reasoning, tool calls, Chinese, CJK, format) - Add DESIGN.md and README.md with architecture documentation - All 189 tests passing, pipeline verified end-to-end in fake mode
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补充了设计文档和开发过程记录：
测试覆盖：189 tests，14 测试文件，6 维度（单元/集成/大规模/边界/回归/性能） 所有 CI checks 通过。如有遗漏或需要调整的地方请告知。 |
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Description | 描述
Reproducible Evaluation + Optimization closed-loop pipeline.
Implements: baseline evaluation → failure attribution (10 categories) → optimization → validation set comparison → multi-dimensional gate → JSON/MD report with audit trail.
Related Issue | 关联 Issue
Fix #91
Change Type | 修改类型
Test Coverage | 测试覆盖
python -m pytest examples/optimization/eval_optimize_loop/tests/ -vSelf-test Checklist | 自测清单