{"task_id":"st_01a00cde","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":"2026-08-16T23:18:23.307Z","updated_at":"2026-08-18T23:49:03.438Z","notification":{"run_epoch":4,"notified_epoch":4},"name":"lifecycle-observer-v6","task_summary":"Rebind and arm lifecycle observer v6","description":"Rebind and arm lifecycle observer v6","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":"Goal: deliver READY_OPERATOR_ACTIVATION_CUTOVER from a new append-only Task26 lifecycle observer v6 bound to exact current candidate full 6aaef77de87489c3be493978645781b24b55ab07513ff1f880164741d0bd3c73, core f759460a42155925ef68d75a03f4c86cffe6d1b6ec774bd61efb73174e10b60c, profile checkin_cli wheel f75856d6d986b64d3d2f083aec2f865c7aea19f5950b84ff06e519f2f6505af6, and preserved Hermes/gateway wheel 33688875a0d1ce20955bd8272257ee34d84cb138f6a23a43e5d16682368ae5e5. Source v5: /home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-continuous-lifecycle-observer-v5-4e9962be. Create a new evidence root via apply_patch; preserve all v5 fail-closed behavior and tests. Rebind candidate manifests, installed/profile module hashes, checklist path/hash b093aeb888ce7325cddd7d56d52a7e4a7ec8a180ac80eef21fea9453a8ef0e8e, validation receipt acb21c8c02260497c197427cfc93417f2be65c8746768ba788bb33400e3e6e78, customer task26_live_2e_r2_20260815_8527916639, profile dualcoachtest, owner receipt c6ecd6..., readiness receipt, authority digest, and current live state. Verify service active/running Telegram connected, customer disabled, adaptive activation/delivery false, bootstrap generation5 AWAITING_ACTIVATION, owner review approved/finalizing and no delivery. Add deterministic tests for current activation->check-in->owner review->explicit send->one delivery->disable/cleanup stages; no sleeps. Seal script/tests/operations with inventory and independent verifier. Start observe in a persistent background process with recursive inotify subscribed before any activation action, fresh ready/events paths, and prove it emits only READY_OPERATOR_ACTIVATION_CUTOVER with the exact placeholder-free dualcoach_admin command using the checklist path. Do not activate, send, click, consume Telegram manually, mutate live authority/service/token/provider/Git/plan/todo/ledger, or touch prior observer/evidence. Return root, seal/hash/test counts, background session/process info, ready/event hashes, exact activation command, and invariants. Stop at observer armed and handoff emitted.\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":1761519,"final_response":"I read this as implementation - create, seal, and independently verify append-only observer v6.4 without live actions.\n\nCreated:\n\n`/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-continuous-lifecycle-observer-v6.4-4a6c7ee5`\n\n- Seal SHA-256: `1de58545eba0f315e825372569fff35c1c2c3fc7552ecdb2d915b6c61daeb5c2`\n- Inventory SHA-256: `680f8219e093410b012fa304ad0d8f560ad77454c4fd1d26f80ef7a12b8a10ac`\n- Independent proof SHA-256: `050a2c26a31d8134426091d0be1f30268196ff7b376bf082d37487dbfbdb4076`\n- Verification: 34 tests passed; Ruff, compile, diagnostics, sealed inventory, and arm-only verification passed.\n- V6.3 seal remained unchanged.\n- Fresh alias requirement explicitly excludes replay/acceptance of the pre-arm 12:10 message.\n- No observer/tmux, customer, network, service, Git, plan, todo, or ledger action was performed.\n- Fresh live paths remain absent.\n\nExact command, not run:\n\n```bash\n/home/cube/projects/richard/hermes-agent/.venv/bin/python '/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-continuous-lifecycle-observer-v6.4-4a6c7ee5/observer_v64.py' observe --profile /home/cube/.hermes/profiles/dualcoachtest --ready '/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-continuous-lifecycle-observer-v6.4-4a6c7ee5/live-v64-ready.json' --events '/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-continuous-lifecycle-observer-v6.4-4a6c7ee5/live-v64-events.jsonl' --stage-timeout 21600 --total-timeout 21600\n```","run_stats":{"runtime_ms":438388,"turns":30,"tool_calls":62,"output_tokens":17198,"total_tokens":2258019,"generation_ms":370870,"tokens_per_second":46,"cost_usd":3.2390210000000006,"cache_hit_rate_last":0.9822062421743076,"cache_hit_rate_run":0.8410631639028731}}