whetstone_DSL/sprint118_plan.md

Sprint 118 Plan: Distributed Failure Capture and Evidence Normalization

Context

Sprint 117 connected iteration execution to HiveMind job dispatch. The next gap is consistent failure evidence capture from distributed jobs so downstream debugging is deterministic instead of ad-hoc.

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Goals

1. Normalize distributed job outputs into deterministic failure evidence
2. Preserve replay-ready execution context with stable schemas
3. Add MCP tools to capture and query distributed failure evidence
4. Keep evidence machine-readable and deterministic across reruns

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Steps

Step 1419: DistributedFailureEvidence schema + normalizer (12 tests)

Step 1420: Job-output canonicalization and truncation utilities (10 tests)

Step 1421: Distributed repro command resolver model (10 tests)

Step 1422: Evidence bundle store + deterministic ordering (10 tests)

Step 1423: whetstone_capture_distributed_failure MCP tool (8 tests)

Step 1424: whetstone_list_distributed_failures MCP tool (8 tests)

Step 1425: whetstone_get_distributed_failure_bundle MCP tool (8 tests)

Step 1426: Distributed evidence quality scorer model (8 tests)

Step 1427: Distributed evidence packet export model (8 tests)

Step 1428: Sprint 118 integration summary + regression (8 tests)

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Architecture Gate

• Failure evidence packets must be deterministic for identical inputs
• Bundle ordering must be stable and replayable
• Tool outputs must avoid free-text-only ambiguity
• Max 600 lines per header