{"task_id":"st_01a05a99","status":"completed","residency_state":"resident","parent_session_id":"01a04e1a-4e0a-7c69-845d-0b5d1e71f82d","root_session_id":"01a04e1a-4e0a-7c69-845d-0b5d1e71f82d","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-09-01T01:31:08.356Z","updated_at":"2026-09-01T01:36:22.462Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"task7-audit-state","task_summary":"Audit at-most-once state and strict code quality","description":"Audit state machine and code quality","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":"TASK: Independent read-only Todo 7 state-machine/code-quality auditor against stable current files. DELIVERABLE: `/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-7-audit-state-quality.json` with status PASS/blocker_count0 or exact blocker. No Git, edits, network/customer/commit. Hash all Todo1-6 changed/new files; require test_nutrition_coaching hash `be7b3afa566a4d326ee8cf123070977d59b36f0570f67447368f5a9f83870ab4`. Inspect actual projection/state/adapter/wizard code end-to-end. Verify typed six phases, prepared-before-domain, domain-before-send, one accepted send, pre-call/definite rejection/post-call uncertainty, restart/replay/expiry/corruption, poll terminality, explicit resume observation, binding-after-message ID, unknown missing not fabricated, history-only previous, no lock across transport. Run focused state/projection/integration/legacy tests and exact strict diagnostics: Ruff all changed; ty+basedpyright zero on new typed modules/test/QA surfaces; basedpyright JSON changed Task5 test region zero and no new diagnostics elsewhere relative to recorded 1367 legacy baseline; compile/import outside source. Review no Any/cast/ignore/noqa/new broad catch/sleeps/polling-time waits/assertion weakening. Classify legacy diagnostics and oversized pre-existing files without broad refactor. Clean temp outputs. PASS only if runtime/state and changed-line quality are blocker-free.\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":1353625,"final_response":"I read this as mandatory cwd-bound verification - confirmed and recorded.\n\n- Absolute source cwd: `/home/cube/projects/richard/.worktrees/nutricoach-v150-combined`\n- Required hash: `be7b3afa566a4d326ee8cf123070977d59b36f0570f67447368f5a9f83870ab4`\n- Verdict: **PASS**, `blocker_count: 0`\n- Evidence JSON validated at:\n  `/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-7-audit-state-quality.json`","run_stats":{"runtime_ms":314090,"turns":17,"tool_calls":65,"output_tokens":14685,"input_tokens":241571,"cache_read_tokens":2634752,"total_tokens":2891008,"generation_ms":293593,"tokens_per_second":50,"cost_usd":2.965781,"cache_hit_rate_last":0.9953412653054156,"cache_hit_rate_run":0.9160139525359287,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":51,"config_generation":0,"background_mode":"background"}