{"task_id":"st_01a04b26","status":"completed","residency_state":"persisted_only","parent_session_id":"01a04ad7-eaa9-790c-83f7-57410e6370d1","root_session_id":"01a04ad7-eaa9-790c-83f7-57410e6370d1","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-08-29T01:32:42.399Z","updated_at":"2026-08-29T15:18:51.147Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"st_01a04b26","task_summary":"Audit r17 receipt and 12 rollback cases","description":"r17-rehearsal-audit","category":"deep","requested_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"openai-codex/gpt-5.6-sol","source":"category","variant":"medium","reasoning_effort":"medium"},"fallback_models":[{"provider":"clinepass","model_id":"cline-pass/deepseek-v4-pro","display":"clinepass/cline-pass/deepseek-v4-pro","source":"category","variant":"medium","reasoning_effort":"medium"},{"provider":"clinepass","model_id":"cline-pass/glm-5.2","display":"clinepass/cline-pass/glm-5.2","source":"category","variant":"medium","reasoning_effort":"medium"}],"resolved_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"GPT-5.6 Sol","source":"category","variant":"medium","reasoning_effort":"medium"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"Read-only audit NutriCoach V14 r17 rehearsal at /home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-v150-combined/task-v14r17-rehearsal. Verify success creates a valid v4 activation receipt and production validation succeeds with capacity 5; every 12 fault case removes receipt and directory, restores snapshots, consumes FAILED, remains ROLLED_BACK after replay denial; live bytes unchanged. Confirm installed profile wheel contains the registry-evolution fix and no network/provider/Telegram/customer operations occurred. Return evidence-backed PASS/FAIL. No edits or live service actions.\n\n<Category_Context name=\"deep\">\nYou are operating in DEEP mode. This is the category reserved for goal-oriented autonomous work on hairy problems that reward thorough exploration and comprehensive solutions.\n\nThe orchestrator chose this category because the task benefits from depth over speed. You should feel empowered to spend the time needed: five to fifteen minutes of silent exploration before the first edit is normal and correct. Rushing to implementation on a deep task is a failure mode, not a feature.\n\n# How deep mode adjusts the base behavior\n\n**Exploration budget: generous.** Read the files you need, trace dependencies both directions, fire 2-5 explore/librarian sub-agents in parallel for broader questions. Build a complete mental model before the first `apply_patch`. Exploration here is an investment, not overhead.\n\n**Goal, not plan.** You receive a GOAL describing the desired outcome. You figure out HOW to achieve it. The orchestrator deliberately did not hand you a step-by-step plan; producing one and asking for approval is not what was asked. Execute.\n\n**Atomic task treatment.** When the goal contains numbered steps or phases, treat them as sub-steps of ONE task and execute them all in this turn. Splitting them across turns is wrong unless they reveal an architectural blocker that requires the user's input. If the \"steps\" turn out to be genuinely independent tasks that should have been separate delegations, flag that in your final message and refuse the ones beyond scope.\n\n**Root cause bias.** Prefer root-cause fixes over symptom fixes. A null check around `foo()` is a symptom fix; fixing whatever causes `foo()` to return unexpected values is the root fix. Trace at least two levels up before settling on an answer. In deep mode, you have permission (and the expectation) to do the deeper fix.\n\n**Ambition scaled to context.** For brand-new greenfield work, be ambitious. Choose strong defaults, avoid AI-slop aesthetics, produce something you would be proud to hand to another senior engineer. For changes in an existing codebase, be surgical and respect the existing patterns; depth does not mean invasiveness.\n\n**Completion bar: full delivery.** \"Simplified version\", \"proof of concept\", and \"you can extend this later\" are not acceptable deliveries for a deep task. The orchestrator routed here specifically for a complete solution. If you hit a genuine blocker (missing secret, design decision only the user can make, three materially different attempts all failed), document it and return; otherwise, finish the task.\n\n**Status cadence: sparse.** The user is not on the other side of this conversation; the orchestrator is, and they will synthesize your progress. Send commentary only at meaningful phase transitions (starting exploration, starting implementation, starting verification, hitting a genuine blocker). Do not narrate every tool call; silence during focused work is expected.\n</Category_Context>"},"final_response":"I read this as a read-only forensic audit - I verified the rehearsal artifacts and candidate bindings without edits or live actions.\n\n## PASS\n\nEvidence:\n\n- **Success path**\n  - `success/execution/phase.json`: `COMMITTED`\n  - `success/ledger/authorization-consumed.json`: `CONSUMED / SUCCEEDED`\n  - Activation receipt is valid v4: `version: 4`, `state: committed`, `recovery_required: false`.\n  - Receipt audit, policy, customer projection, owner, and staff-membership digests recompute correctly.\n  - Registry and receipt both bind `max_enabled_customers: 5` and candidate `ab3a61dd...81f7a`.\n  - Installed production startup smoke completed in the recorded 12-stage success sequence.\n\n- **All 12 fault cases**\n  - Every case ends `ROLLED_BACK`.\n  - Every authorization ledger is `CONSUMED / FAILED`.\n  - Every activation receipt and its newly created `customer-activation-receipts` directory are absent.\n  - All four protected preflight files match their recorded SHA-256 values after rollback.\n  - For the 11 post-snapshot faults, snapshot bytes exactly equal restored live-shaped files; the `stop` fault occurs before snapshot creation.\n  - Consumed ledgers make replay fail at reservation, leaving phase journals `ROLLED_BACK`.\n\n- **Live bytes**\n  - `report.json` records `live_source_unchanged: true`.\n  - Independent comparisons found no protected-file mismatch in any rollback case.\n\n- **Registry-evolution fix**\n  - Installed `checkin_cli/customer_admin.py` SHA-256 is `027c03b4...75cd86`, exactly matching both the candidate wheel member and its installed `RECORD`.\n  - Installed code contains the migration-only `allow_registry_evolution=True` validation followed by v4 receipt rebuilding and strict validation against the evolved registry.\n  - Candidate wheel builds are reproducible: both SHA-256 `7651bc8b...c9d9af`.\n\n- **No external/customer-facing operations**\n  - Rehearsal report records `network_namespace: loopback-only`.\n  - Controller postcondition rejects any network, Telegram, or provider event.\n  - Execution targets are isolated rehearsal profiles; no live customer profile or live service was used.\n  - No provider, Telegram, or customer-facing operation evidence was generated.\n\nPrimary summary: `.omo/evidence/nutricoach-v150-combined/task-v14r17-rehearsal/report.json` reports all 13 cases `PASS`.","run_stats":{"runtime_ms":195539,"turns":17,"tool_calls":46,"output_tokens":8147,"input_tokens":307428,"cache_read_tokens":1512960,"total_tokens":1828535,"generation_ms":184442,"tokens_per_second":44,"cost_usd":2.5380299999999996,"cache_hit_rate_last":0.9889382572811054,"cache_hit_rate_run":0.8311195195749478,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":4,"config_generation":0,"background_mode":"background"}