{"task_id":"st_01a01339","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":"2026-08-18T04:55:23.103Z","updated_at":"2026-08-19T11:45:56.780Z","notification":{"run_epoch":2,"notified_epoch":2},"name":"clarification-policy-implementation","task_summary":"Implement deterministic clarification compiler","description":"Implement deterministic clarification compiler","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: make the committed RED suite GREEN with the smallest root-level production/profile design, not field-specific suppression. Edit both authoritative working sources as needed: profile `/home/cube/.cache/task26-strict-successor-1786976146/src-p`; Hermes `/home/cube/projects/richard/hermes-agent`. Shared workspace: preserve unrelated changes; no Git/plan/todo/live/evidence/service operations.\n\nRequired source of truth: `/home/cube/projects/richard/hermes-agent/tests/gateway/test_nutrition_onboarding_clarification_policy.py` (11 RED cases). Current command:\n`cd /home/cube/projects/richard/hermes-agent && PYTHONPATH=/home/cube/.cache/task26-strict-successor-1786976146/src-p .venv/bin/pytest -q tests/gateway/test_nutrition_onboarding_clarification_policy.py`\ncurrently 11 failed.\n\nArchitecture decision:\n- No new runtime-wide lifecycle aggregate.\n- Existing domain authorities stay authoritative.\n- A deterministic 22-field compiler exclusively owns canonicalization, validation, issue/hold eligibility, issue IDs, reason codes, fixed copy, ordering, full issue set and 3-item visible slice.\n- Provider reconciliation is advisory only: its clarification fields/prose never become persisted or visible mandatory questions.\n- Production and preview call the same compiler result.\n- Publication renders only a reloaded committed reconciliation record; discard transient provider objects after advisory storage.\n- Sensitive disclosures create holds, not clarification questions.\n- Revision is bound to lifecycle/issue ID/exact field/answers digest/reconciliation digest; remove QUESTION_FIELDS[0] fallback.\n- After revision recompute full issue set; cap display only.\n- Keep provider advisory summary separate and non-authoritative; do not silently erase unrelated advisory metadata.\n\nImplementation guidance: create a focused profile module (keep files <=250 new/modified pure LOC where practical) with frozen/Pydantic typed policy result. Parse at boundary. Stable issue ID should derive from policy version/digest + field + reason + answer digest, not prose. Policy digest must bind schema/rules. Full valid 22-answer fixture yields zero issues/holds. Ambiguous measurement such as `180 또는 185cm` deterministically yields one fixed issue. Build on existing typed baseline validators rather than duplicate broad validation; add only explicit cross-field/safety rules required by contract. Preview may compile in-memory but cannot use provider clarifications. Production must persist compiler result and reconstruct publication from persisted record.\n\nTDD discipline: first re-run RED and preserve output, then implement minimally. Do not weaken/delete tests. Run focused suite until 11 pass, then related reconciliation/onboarding profile and gateway suites, ruff, basedpyright, compileall. Manual QA with a minimal driver that executes exact natural Korean 22 inputs plus malicious provider output through production and preview and prints issue/hold/visible counts and absence of provider question text. Return changed files, RED→GREEN, contract, exact test counts, diagnostics, and remaining risks. Stop source-ready; do not build wheels/deploy.\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 final verification reporting - the four canonical string expectations are updated and the broader glob is green.\n\nChanged only:\n\n- `tests/gateway/test_telegram_nutrition_onboarding_copy.py`\n  - `180cm` / `180 cm` → `\"180\"`\n  - `80kg` → `\"80\"`\n  - `75 kg` → `\"75\"`\n\nVerification:\n\n```text\n152 passed in 1.36s\n```\n\nSource-resolving type gate used before wheel build:\n\n```bash\ncd /home/cube/projects/richard/hermes-agent\n.venv/bin/ty check \\\n  --python .venv \\\n  --extra-search-path /home/cube/.cache/task26-strict-successor-1786976146/src-p \\\n  gateway/platforms/telegram_nutrition_onboarding_copy.py \\\n  gateway/platforms/telegram_nutrition_onboarding_preview.py \\\n  gateway/platforms/telegram_nutrition_onboarding_preview_completion.py \\\n  gateway/platforms/telegram_nutrition_onboarding_preview_flow.py \\\n  gateway/platforms/telegram_nutrition_onboarding_preview_publication.py \\\n  gateway/platforms/telegram_nutrition_onboarding_preview_types.py \\\n  gateway/platforms/telegram_nutrition_onboarding_runtime_publication.py \\\n  gateway/platforms/telegram_nutrition_onboarding_runtime_callback.py \\\n  gateway/platforms/telegram_nutrition_onboarding_runtime_collection.py \\\n  /home/cube/.cache/task26-strict-successor-1786976146/src-p/checkin_cli/nutrition_onboarding.py \\\n  /home/cube/.cache/task26-strict-successor-1786976146/src-p/checkin_cli/nutrition_onboarding_reconciliation.py \\\n  /home/cube/.cache/task26-strict-successor-1786976146/src-p/checkin_cli/nutrition_onboarding_clarification_policy.py \\\n  /home/cube/.cache/task26-strict-successor-1786976146/src-p/checkin_cli/nutrition_onboarding_clarification_rules.py\n```\n\nThis invocation passed with zero diagnostics. No remaining failures.","run_stats":{"runtime_ms":29051,"turns":4,"tool_calls":3,"output_tokens":1041,"total_tokens":819877,"generation_ms":25466,"tokens_per_second":41,"cost_usd":0.46204999999999996,"cache_hit_rate_last":0.996269257216427,"cache_hit_rate_run":0.9941917551255685}}