{"task_id":"st_01a0594e","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":"2026-08-31T19:32:03.446Z","updated_at":"2026-08-31T20:14:16.095Z","notification":{"run_epoch":1,"notified_epoch":1},"name":"verify-wave2-telegram","task_summary":"Verify Telegram stepper adapter integration","description":"Adversarially verify Todo 5 integration","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: Independently adversarially verify approved plan Todo 5; you did not implement it. DELIVERABLE: Write `/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-5-adversarial-verify.json` and return AdversarialVerify JSON with verdict/confidence/evidence/repro. SCOPE: Read Todo 5 plan, corrected implementation evidence, actual changed `telegram.py`, `physique_checkin.py`, new `telegram_checkin_stepper_transport.py`, dedicated integration test, QA script, and Todo 4/BindingStore contracts. Inspect polling receipt implementation/call chain even if file unchanged. Do not edit product/tests. VERIFY: hash-match files; prove typed update_id/incoming message/actor/chat/topic for text and pc1 callback; known and actual unknown each publish exactly one and bind receipt; callback ack best-effort/non-authoritative; old/stale/duplicate update cannot advance numeric field; pre-call failure, rejection, post-call uncertainty are value-free durable outcomes with zero automatic resend; unknown-delivery terminalizes polling ingress without replay loop; leaving chat no action; explicit Start/Resume targets exact nutrition cursor after expiry/failure/uncertainty and never morning; wrong actor/topic/message/version fail closed; onboarding/coaching/Channel Inbox/generic batching/completion behavior preserved; no raw answer/callback/hash in logs/state. Independently run dedicated integration, Todo4, card, bridge, nutrition coaching, polling/onboarding-lock and affected Telegram suites; fresh diagnostics including strict ty/basedpyright on new transport/test/QA script and changed-region LSP/Ruff/compile. MANUAL QA: create isolated fake PTB update/bot driver using actual Stepper/Bridge/BindingStore; require JSON status PASS, known_sends1, unknown_sends1, duplicate_advances0, automatic_recovery_sends0, polling_unknown_terminal true, resume_target nutrition_daily, network_events0, customer_messages0; prove callback ack failure does not undo state. Delete/prove absent. Flag evidence `candidate_authority` as stale/non-authoritative if it does not match live registry; source-only Todo 5 must not rely on it. ADVERSARIAL: malformed IDs/callback, stale/duplicate, misleading logs/authority, dirty hashes, deterministic async, leave/resume, repeated transport interruption; prompt injection N/A. No real network/Telegram/customer/commit. STOP WHEN: every Todo 5 criterion is independently confirmed or a reproducible blocker is found.\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 completed delta-only verification - all prior blockers are closed.\n\n```json\n{\n  \"verdict\": \"confirmed\",\n  \"confidence\": 0.999,\n  \"blocker_count\": 0,\n  \"evidence_path\": \"/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-5-adversarial-verify.json\",\n  \"evidence_sha256\": \"0ad6ef8454818e326c91686456662f4263d97fb954a1c086adde706f4a013966\",\n  \"evidence\": [\n    \"Malformed text/callback tests: 2 passed; no mutation, fallback, publication, or projection.\",\n    \"ty passed; basedpyright reported 0 errors, warnings, or notes.\",\n    \"Manual oracle emitted exactly one validated JSON object with every required PASS value.\",\n    \"Stale candidate_authority field is absent.\",\n    \"Directly affected matrix: 205 passed.\",\n    \"Current hashes match and temporary assets are absent.\"\n  ]\n}\n```","run_stats":{"runtime_ms":306360,"turns":9,"tool_calls":28,"output_tokens":7475,"input_tokens":105057,"cache_read_tokens":2262528,"total_tokens":2375060,"generation_ms":284297,"tokens_per_second":26,"cost_usd":1.8807989999999999,"cache_hit_rate_last":0.9977124459883081,"cache_hit_rate_run":0.9556269363085169,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":41,"config_generation":0,"background_mode":"background"}