{"task_id":"st_01a01309","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":"2026-08-18T04:02:59.337Z","updated_at":"2026-08-19T11:03:08.947Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"strict-profile-normalization-successor","task_summary":"Seal and deploy profile normalization successor","description":"Seal and deploy profile normalization successor","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: seal, standard-install, and deploy one successor candidate containing the verified profile-package sex-basis normalization fix, then reach fresh READY_CUSTOMER_CLAIM. Inputs: unchanged sealed Hermes product candidate c6ec9cec / wheel c092432b..., predecessor candidate bea97f51; fixed authoritative profile source `/home/cube/.cache/task26-strict-successor-1786976146/src-p`; predecessor profile wheel fb48a193.... v6 is already V6_BUG_CLEAN_BASELINE with empty authorities and stopped services.\n\nFirst verify exact profile delta is only four expected files and no unrelated source drift. Re-run required profile gates (focused51, full705, ruff, basedpyright, compileall), build new profile wheel. Run Hermes/profile compatibility and installed-wheel tests, full tests/gateway if profile wheel changes runtime contract, and bind all command/count receipts. Build new full candidate manifest/digest preserving unchanged Hermes wheel/product source; zero unindexed source. No Git commit.\n\nCreate NEW standard offline isolated runtime/venv with unchanged Hermes wheel and new profile wheel; verify direct_url exact artifacts, RECORD parity, import origins, pip check, CLI help, installed normalization regression including exact phrase `넵 남성입니다` reaching canonical male and attest owner_review in a temporary profile. Do not patch old runtime.\n\nFrom empty baseline, use existing minimal launcher shape for fresh v7: provider preflight before mutation; unique disabled customer/session; successor-bound observer; gateway from new venv with exact DUALCOACH_PROFILE_PACKAGE; membership left/private separation; exactly one invite; READY_CUSTOMER_CLAIM. Do not click Start. Return candidate/product/profile digests, evidence root, tests, runtime path, invite message ID/created/expires KST, service IDs/PIDs, and exact user action. On failure clean rollback. No product/source/config edits beyond consuming already-fixed source. Observable stop READY_CUSTOMER_CLAIM or clean rollback.\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 completing the successor deployment - it is sealed, installed, and stopped at fresh `READY_CUSTOMER_CLAIM`.\n\n- Status: `READY_CUSTOMER_CLAIM`\n- Candidate: `74f5df5c6ccc96451a76b0562dc0fa187be745880f30955c5cf4486643e224b3`\n- Product: `062fb6b69adb84b0030b1edae334f3bc772a7920cd4a01bd8cad5846f0137e14`\n- Profile wheel: `8d67ed554b3b6237ab2c09bd1b44a53edb618679c6b90fc921a0cba6751ff1d9`\n- Hermes wheel: `c092432b2ed9af300342c5d402781cd16d45e21b0f239a047936d9106d675228`\n- Evidence: `/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-sex-basis-successor-st_01a01309`\n- Runtime: `/home/cube/.hermes/profiles/dualcoachtest/.strict-runtime/062fb6b69adb84b0-v7`\n\nVerification:\n- Exact four-file profile delta; zero added/removed source\n- Profile focused: 51 passed\n- Profile full: 705 passed\n- Compatibility: 296 passed\n- Full gateway: 8,191 passed, 59 skipped\n- Installed Hermes: 55 passed\n- Ruff, basedpyright, compileall: pass\n- Installed regression: `넵 남성입니다` → `male` → `owner_review`\n- Direct URLs, RECORD parity, imports, `pip check`, CLI help: pass\n\nInvite:\n- Message ID: `295`\n- Created: `2026-08-18 13:22:23 KST`\n- Expires: `2026-08-18 13:52:23 KST`\n- Exactly one invite sent\n- Customer: `task26_claim_20260818042223_9ea2da0b`\n- Session: `cb_16TPvCuXPB7UodfLwRTQYw`\n\nServices:\n- Gateway: `hermes-gateway-dualcoachtest-strict-062fb6b6-v7.service`, PID `915634`\n- Observer: `dualcoach-lifecycle-observer-74f5df5c-v7.service`, PID `915632`\n\nExact user action:\n\n> Customer 8527916639: open the single DualCoach invite in this private DM and tap Start yourself; do not send onboarding answers yet.\n\nStart was not clicked. No Git commit was created.","run_stats":{"runtime_ms":1201507,"turns":46,"tool_calls":104,"output_tokens":25380,"total_tokens":7050395,"generation_ms":541210,"tokens_per_second":47,"cost_usd":5.264011,"cache_hit_rate_last":0.9754461904253859,"cache_hit_rate_run":0.9686800668753021}}