From Evidence Ownership to Dynamic Diagnosis in a Multi‑Agent Runtime

说明与用途

CodeFlowMu 引入了动态诊断工具，根据任务生命周期阶段可视化证据关系状态（已链接、缺失、冲突、不可适用），提升透明度和审核准确性。

问题

Task lifecycle stages (active, review, QA) require different evidence relationships, but existing systems assume a single accountability chain, leading to hidden inconsistencies and inaccurate diagnostics.

结果

Operators now see explicit evidence states per lifecycle stage, reducing hidden inconsistencies and enabling accurate reviews without altering task state.

工作流

• 1. Extract explicit task keys from REPORT writes and ledger entries. 2. Classify relationships: linked (keys match), missing (key absent), conflict (keys disagree). 3. Build evidence graph: TASK→attempt→lease→execution→action evidence→REPORT→REVIEW/EVAL. 4. For each edge, determine state based on current lifecycle stage and role. 5. Render diagnostic snapshot in UI, showing state per edge. 6. Provide actions: copy reconciliation summary, recheck evidence association. 7. Operators use these to verify evidence before advancing task state.

证据

Evidence requirements change with lifecycle stage and role, and the diagnostic changes with the formal facts instead of forcing every edge into linked or missing.

The V2.0.4 task detail states: "This conclusion describes evidence relationships only. It does not mean the task has been delivered or verified successfully."