{"task_id":"st_01a01533","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":"2026-08-18T14:08:10.119Z","updated_at":"2026-08-19T12:53:38.804Z","notification":{"run_epoch":3,"notified_epoch":3},"name":"deploy-final-clarification-live-v8","task_summary":"Deploy sealed candidate and send one live invite","description":"Deploy sealed candidate and send invite","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: user explicitly authorized external write now: deploy the exact sealed installed candidate and send exactly one live Telegram rehearsal invite, then stop at READY_CUSTOMER_CLAIM. Use `/home/cube/projects/richard/traning coach` plan/evidence and `/home/cube/projects/richard/hermes-agent`; profile `/home/cube/.hermes/profiles/dualcoachtest`. Exact sealed candidate evidence `/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-clarification-root-final-st_01a013d9`; candidate f32a836571b403663da3510d930fd04c1a84c5514cb6345fc575f5a42b580da5, product 5795a78f7830760b10a4b4d909ca44b9142b92e86083d7d47e9c787f5e580d97; wheels hashes Hermes c673e7b04c564e6ebbf5010e6e0ad321af3abde7565d6d3ca66d238c9248877b, profile aba7b92da1de6b9f9e071f8734026683c7bcdfd1abaa754ab2c8b6b4d5825fd7. No source edits/Git/plan/todo changes.\n\nUse prior strict launch/cleanup machinery from v7/v6 evidence, not ad hoc. First read-only preflight: prove previous services inactive/dead, authorities empty, flags false, profile config private, exact provider readiness before startup, customer actor absent from staff membership and owner separation, exact installed runtime origin/RECORD parity. Build/copy a profile-local strict runtime only from the sealed exact wheels (do not use source/PYTHONPATH). Bind DUALCOACH_PROFILE_PACKAGE to installed site-packages. Create fresh logical customer/session, TTL exactly 30 minutes. Subscribe real observer before invite. Start uniquely named gateway/observer systemd user units. Send exactly one private-DM invite to customer Telegram user 8527916639, no other messages/actions. Preserve one-use invite receipt. Stop at READY_CUSTOMER_CLAIM; do not click Start, consent, answer, recover, repair, activate, or send customer content.\n\nIf any preflight/gate fails, send no invite and clean rollback. Verify message ID, created/expires KST, customer key/session, service names/PIDs, exact candidate/runtime/wheels, one invite count, authority state. Start event-driven monitors only if supported and return IDs, but no polling/sleeps. Evidence under a new deployment/v8 directory bound to sealed candidate. Return concise exact user action: open latest message ID and tap Start only. External write is explicitly authorized only for this invite. Observable stop: READY_CUSTOMER_CLAIM with exactly one invite, or fail-closed clean baseline.\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 a strict-amendment abort - the failed live run is frozen and archived.\n\n**Abort/archive boundary**\n\n- Failure: deterministic unexpected clarification for clear Korean input `보통 수준`\n- Clarification messages:\n  - `348`, `350`: `activity_category`\n  - `352`: `goal_type`\n- Unconfirmed summary: message `354`, generation `26`\n- Committed cursor/answers: `22/22`\n- Candidate: `f32a836571b403663da3510d930fd04c1a84c5514cb6345fc575f5a42b580da5`\n- Product: `5795a78f7830760b10a4b4d909ca44b9142b92e86083d7d47e9c787f5e580d97`\n- Customer enabled/activation/delivery/delivery-enabled: all `false`\n- Owner-service states: `0`\n- Summary confirmations, replay, recovery, repair, publication, and state mutation: `0`\n- Gateway and observer: stopped, `inactive/dead`, PID `0`\n- Task26: not complete\n- Task27 and review lanes: not started\n\nReceipt:  \n`/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-clarification-root-final-st_01a013d9/deployment/v8/resend-1/abort-clarification-root-natural-korean/ABORT_ARCHIVE_BOUNDARY.json`\n\nSHA-256: `eb2524e1811bbe6b2f0d2a413bf83e1501f3d779f7b4babd82f9cf752af00e73`\n\nExact boundary: **preserve the failed run; do not confirm message `354` or perform further customer/owner actions. Any replacement requires a separately sealed candidate and separately authorized fresh run.**","run_stats":{"runtime_ms":153187,"turns":4,"tool_calls":7,"output_tokens":5724,"total_tokens":568868,"generation_ms":110569,"tokens_per_second":52,"cost_usd":0.7272160000000001,"cache_hit_rate_last":0.9223906205318845,"cache_hit_rate_run":0.8919068657394912}}