{"task_id":"st_01a0591a","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":"2026-08-31T18:35:19.070Z","updated_at":"2026-08-31T19:05:09.703Z","notification":{"run_epoch":1,"notified_epoch":1},"name":"wave2-stepper-orchestrator","task_summary":"Build durable Telegram stepper state machine","description":"Implement durable at-most-once stepper","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: Execute approved plan Todo 4 as one cohesive HEAVY state-machine implementation. You are the executor, not a planner. DELIVERABLE: New durable at-most-once Telegram stepper orchestrator with RED->GREEN state-table tests, manual zero-network lifecycle QA, evidence, cleanup, and DoneClaim. SCOPE: Work in `/home/cube/projects/richard/.worktrees/nutricoach-v150-combined`. Primary new files: `gateway/platforms/telegram_physique_checkin_stepper.py`, `tests/gateway/test_telegram_physique_checkin_stepper.py`. You may make only narrow content-safe transition API additions to `gateway/platforms/physique_checkin.py` or projection-store API additions to `gateway/platforms/physique_checkin_bindings.py` when a failing test proves necessary; preserve all Wave 1 contracts and rerun their suites. Do NOT edit `telegram.py` (Todo 5), profile domain, packaging, plan/Boulder. No commit/push/PR. BASELINE: first add a characterization test that passes unchanged and pins one accepted bridge answer CAS advance plus binding behavior without a durable publication transition. RED: before production changes add failing deterministic tests for typed ingress identity; PREPARED/domain-committed/send-started/delivered/delivery-failed/delivery-uncertain terminal table; duplicate before commit; crash after domain commit; pre-call failure; definite provider rejection; provider started without receipt; delivered receipt; restart from every nonterminal/uncertain phase with zero automatic send; explicit resume; stale callback; typed text observation after uncertainty; terminal save publication failure without canonical rollback/duplication; expiry; corrupt/conflicting projection. Unknown/failure must be terminal for ingress polling but recoverable for UI. Happy accepted transition must call transport exactly once; every automatic failure recovery must call zero times. Implement a narrow typed transport protocol; do not hold file locks during transport I/O; store no customer value/raw/callback/hash. No blind retries and no exactly-once claim. GREEN: run dedicated stepper suite plus Wave 1 profile unknown, projection 58+, card 7, UX 28, bridge 91, coaching 77 suites. Run LSP/Ruff/ty/basedpyright/compile on new/changed strict modules. MANUAL QA: create `/tmp/ulw-task4-stepper-driver.py` via apply_patch, run `/home/cube/projects/richard/.worktrees/nutricoach-v150-combined/.venv/bin/python -B /tmp/ulw-task4-stepper-driver.py` with fake transport and TemporaryDirectory; print one JSON `status:PASS`, `happy_sends:1`, `automatic_recovery_sends:0`, durable phase/cursor/receipt counts, no customer data. Delete and prove absent. ADVERSARIAL: malformed input, stale state, dirty SHA inventory, misleading success output, deterministic/flaky, cancel/resume, repeated interruptions at every state boundary; hung command/prompt injection N/A with reasons. EVIDENCE: `/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-4-stepper-orchestrator.json` with exact baseline/RED/GREEN/manual/hashes/adversarial/cleanup. STOP WHEN: all state rows and Wave 1 regressions pass, manual JSON PASS observed, temp absent, and DoneClaim returned.\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 the amended Todo 4 completion report - the strict test blockers are closed and evidence is current.\n\n**Amended DoneClaim**\n\n- Production module unchanged; SHA-256 remains `45e480a...b3ce`.\n- Dedicated tests: **23 passed**.\n- Full regression matrix: **303 passed**.\n- ty: **All checks passed**.\n- basedpyright: **0 errors, 0 warnings, 0 notes**.\n- Ruff, LSP, and compileall clean.\n- No `Any`, casts, suppressions, private bridge access, or weakened assertions.\n- Manual QA retained because runtime code/hash is unchanged.\n- Temporary driver remains absent.\n\nUpdated evidence:\n\n`/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-4-stepper-orchestrator.json`","run_stats":{"runtime_ms":391858,"turns":15,"tool_calls":29,"output_tokens":9496,"input_tokens":31485,"cache_read_tokens":1374720,"total_tokens":1415701,"generation_ms":363338,"tokens_per_second":26,"cost_usd":1.1296649999999997,"cache_hit_rate_last":0.981417660671189,"cache_hit_rate_run":0.9776099501850726,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":38,"config_generation":0,"background_mode":"background"}