3 Commits

Author	SHA1	Message	Date
iomgaa	307c64c388	fix(harness): infer mode honors CLI --questions over manifest	2026-07-11 07:45:33 -04:00
iomgaa	f21bf345a6	feat(runner): 注入 tool_dispatch_factory/prompt_builder_factory + fail-fast ... Runner.__init__ 新增 2 个可选参数: - tool_dispatch_factory: 工具调度工厂 - prompt_builder_factory: prompt 构建工厂 infer/eval/train 模式缺少工厂时 fail-fast 抛 ValueError。 _make_tool_dispatch_fn/_make_prompt_builder 优先使用注入工厂。 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-07-09 12:20:25 -04:00
iomgaa	d6e74f2734	feat(harness): runner.py — train loop orchestrator (#13 algorithm fidelity) ... Three-level nesting (epoch -> step -> per-skill), slow update 10-step sequence, checkpoint/resume, early stop, probation accept/reject/rollback. Key TRM4->TRM5 changes: - sync -> async (all inference/diagnosis/evolve/validate awaited) - LLMClient.from_env -> injected LLMProvider (DI via constructor) - Direct DB/file access -> module functions (workspace/store/log) - _TrainState as train() local, explicit param passing to helpers Module-level pure functions extracted for testability: resume_plan, _guard_infra_failures, _apply_batch_correctness, _compute_total_steps, _should_early_stop, _format_applied_edits, _fallback_summary, _write_skip_report, _outcome_to_quadrant_pairs, _build_comparison_pairs, _batch_from_ids, _snapshot_current_skills. Tests: 34 unit tests covering 13a-13e sub-tasks. Radon: all functions Grade B or better.	2026-07-07 13:43:20 -04:00