{"task_id":"st_01a005b4","status":"completed","residency_state":"evicted","parent_session_id":"01a00387-aaf8-7f2f-89e3-e24c1af24859","root_session_id":"01a00387-aaf8-7f2f-89e3-e24c1af24859","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-08-15T13:55:39.725Z","updated_at":"2026-08-18T07:31:57.673Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"task26-lifecycle-subscription-harness","task_summary":"Build event-driven outbox, audit, and delivery observers","description":"Seal lifecycle event observers","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":"Build and independently validate an evidence-scoped, current-candidate-bound lifecycle subscription harness replacing the absent scripts/telegram_nutrition_onboarding_e2e.py G13 dependency. TDD first on disposable current-layout fixtures. Provide exact interfaces equivalent to subscribe-outbox, audit-tail, and watch-deliveries, but under a new private evidence path. Requirements: event-driven Linux filesystem/journal subscription established before trigger; bounded monotonic timeout; no fixed sleeps, polling loops, repeated stat/read, raw Telegram getUpdates, cursor edits, dropped updates, service replay, forced publication, or direct authority mutation. Each mode must stable-open parent/file descriptors with O_NOFOLLOW, reject symlink/hardlink/public/wrong owner/path escape/schema drift, record baseline inode/hash/revision, wait for exact atomic replace/append event, then validate one candidate-bound state transition and emit a redacted 0600 receipt. Support: onboarding/publication outbox transition; owner-action/audit transition; delivery ledger transition to exactly one sent_audited record. Include an arm-only mode that proves subscriptions can be created without waiting/mutation, and a multi-observer manifest coordinating observer-ready barriers before service/invite/handset actions. Pin candidate 2e, wheel af4, plan 7ace, runbook v4 hashes, invite/reset/cleanup/provider receipts and expected new logical lifecycle IDs supplied at runtime. Tests must prove subscribe-before-trigger, timeout, duplicate/stale/wrong-ID/unknown-outcome rejection and no timing luck. Use available candidate dependencies or minimal stdlib Linux inotify safely; no new external dependency. Create private root, harness, tests, schema/permission seal, exact commands, verification/readiness receipts. Run tests once, Ruff/LSP/compile, and live arm-only read-only check against current baseline; do not start service, reset, create invite, mutate profile/archive, call Telegram/provider/network or Git. Return PASS/FAIL, paths/hashes/modes, test results and READY_FOR_OBSERVER_ARMING only if clean.\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>"},"host_pid":4082105,"final_response":"I read this as implementation - the private lifecycle observer harness is built, sealed, and independently validated.\n\n**PASS — READY_FOR_OBSERVER_ARMING**\n\n- Root: `.omo/evidence/task26/task26-lifecycle-observer-st_01a005b4`\n- Harness: `lifecycle_observer.py`\n- Harness SHA-256: `58ed20c6f12887c10d6bf4fb388dded7c1eec9b30ec7f6bffa7c67e7e237b2c8`\n- Modes:\n  - `subscribe-outbox`\n  - `audit-tail`\n  - `watch-deliveries`\n  - `arm-only`\n  - `multi-observer`\n- Exact commands: `EXACT_COMMANDS.md`\n- Runtime manifest: `runtime-manifest.template.json`\n- Schema: `manifest.schema.json`\n- Permission seal: `permission-seal.json`\n- Verification receipt: `verification-receipt.redacted.json`\n- Hash inventory: `artifact-hashes.sha256`\n\nVerification:\n\n- Pytest: **9 passed in 0.34s**, single execution\n- Ruff: PASS\n- LSP errors: 0\n- `py_compile`: PASS with disposable cache\n- Live arm-only against current profile: PASS\n- Live authority before/after hashes: identical\n- All evidence files: 0600; root: 0700; harness: 0500\n- No service, invite, reset, profile/archive, Telegram/provider/network, or Git actions performed.","run_stats":{"runtime_ms":575295,"turns":31,"tool_calls":75,"output_tokens":26491,"total_tokens":5343731,"generation_ms":557271,"tokens_per_second":48,"cost_usd":4.481474,"cache_hit_rate_last":0.9849413051508508,"cache_hit_rate_run":0.9570318435880268}}