{"task_id":"st_01a0123b","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":"2026-08-18T00:18:20.061Z","updated_at":"2026-08-19T10:02:46.531Z","notification":{"run_epoch":2,"notified_epoch":2},"name":"strict-simple-isolated-launch","task_summary":"Launch isolated rehearsal simply","description":"Launch isolated rehearsal simply","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: implement and execute one minimal standard-installed-runtime launcher to reach READY_CUSTOMER_CLAIM, without recreating multi-generation verification infrastructure. User approved strict rerun and simplification. Use isolated venv `/home/cube/.hermes/profiles/dualcoachtest/.strict-runtime/dac4e812/venv/bin/python`, runtime seal 6283a4cf..., installed direct_url/RECORD parity already PASS, candidate b6d78bc1... / product dac4e812..., config0600. No product source/config/Git/plan/todo/ledger changes.\n\nCreate at most ONE small launcher script plus one mode0600 receipt in a fresh append-only run directory using apply_patch. It may call existing supported product APIs/CLIs; do not create candidate/controller/permission/seal generations or custom wheel verifier. Dry-run only checks: isolated interpreter/import origins/direct_url exact wheels, runtime receipt, current service inactive, empty customer/onboarding/owner/session authorities, config flags false, no monitors; zero mutation. Execute exactly this order: (1) write one-use run marker; (2) canonically create a new logical disabled customer and bootstrap PREPARED generation1/session using existing RoomBootstrapStore/customer_admin APIs, keeping link private and no send; (3) start actual sealed lifecycle_observer_v7.py subscribed before actions; (4) start transient gateway unit using isolated venv; wait via state/event subscriptions, no sleeps; require Telegram connected and membership subscription_armed; (5) run fresh staff-membership preflight for created customer/session using installed dualcoach_admin and require left/kicked/private identity separation; (6) run required read-only provider readiness; (7) verify READY, unchanged candidate/config, zero deliveries; (8) atomically write invite intent and call Bot.send_message exactly once to chat8527916639 with canonical customer link; persist result message ID; unknown outcome is terminal no retry; (9) emit READY_CUSTOMER_CLAIM exact handoff and leave service+observer running. Use one script only because prepare/send lack standalone CLI. Add a small deterministic unit test file only if necessary, max focused tests; no elaborate new schemas. Never activate/claim/answer/approve/send coaching. If any step fails, stop service/observer, archive/remove prepared live lineage via supported cleanup APIs, leave clean baseline, and report blocker; never retry same marker. Return run path, interpreter/origins, customer/session, membership/provider receipts, service/observer state, invite message ID/count, and exact user action. 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 a completed v3 handoff - report the verified result and permitted user action.\n\n**Result: `READY_CUSTOMER_CLAIM`**\n\n- v2 cleanly rolled back and archived; REGISTERING generation-2 evidence preserved.\n- v3 run: `.omo/evidence/task26/task26-minimal-isolated-launch-v3-st_01a0123b/run-v3`\n- Customer: `task26_claim_20260818005127_5627d16b` — disabled\n- Session: `cb_bm8iM7NioYNswh-ncMIVYg`, PREPARED generation 1\n- Provider readiness: `ready`, completed before mutation\n- Membership: `left`; private identity separation passed\n- Fresh invite: exactly one, message ID `236`\n- Gateway: active/running, Telegram connected, PID `843568`\n- Observer: active/running, PID `843566`\n- Actual systemd environment contains exact `DUALCOACH_PROFILE_PACKAGE` binding\n- Old v2 authority absent\n- Config/candidate unchanged; activation and delivery remain false\n- Regression: intended red, then green `1 passed`\n- Diagnostics: zero errors\n\n**User action:** Open the fresh DualCoach invite with message ID `236` in the private DM and tap **Start** yourself. Do not send onboarding answers yet.","run_stats":{"runtime_ms":160147,"turns":14,"tool_calls":19,"output_tokens":5855,"total_tokens":2331897,"generation_ms":140020,"tokens_per_second":42,"cost_usd":2.142884,"cache_hit_rate_last":0.9805517233350215,"cache_hit_rate_run":0.9231681973068414}}