{"task_id":"st_01a05896","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-terra","notify_on_terminal":true,"created_at":"2026-08-31T16:10:39.086Z","updated_at":"2026-08-31T16:51:25.706Z","notification":{"run_epoch":1,"notified_epoch":1},"name":"wave1-domain-unknown","task_summary":"Build typed unknown domain contract with TDD","description":"Implement typed nutrition unknown state","category":"unspecified-high","requested_model":{"provider":"openai-codex","model_id":"gpt-5.6-terra","display":"openai-codex/gpt-5.6-terra","source":"category","variant":"xhigh","reasoning_effort":"xhigh"},"fallback_models":[{"provider":"clinepass","model_id":"cline-pass/glm-5.2","display":"clinepass/cline-pass/glm-5.2","source":"category","variant":"xhigh","reasoning_effort":"medium"},{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"openai-codex/gpt-5.6-sol","source":"category","variant":"xhigh","reasoning_effort":"xhigh"}],"resolved_model":{"provider":"openai-codex","model_id":"gpt-5.6-terra","display":"GPT-5.6 Terra","source":"category","variant":"xhigh","reasoning_effort":"xhigh"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"TASK: Execute plan Todo 1 as a self-contained HEAVY implementation lane. You are the executor, not a planner. DELIVERABLE: A DoneClaim for typed nutrition_daily known/unknown/unanswered state and partial canonical event projection, with RED->GREEN logs, manual auxiliary-surface QA, evidence artifact, and cleanup receipt. SCOPE: Work only in /home/cube/projects/richard/.worktrees/nutricoach-v150-combined. Primary editable files: dualcoach/profile/checkin_cli/wizard_models.py, wizard.py, and only downstream profile code proven necessary by a failing test; tests in a dedicated new dualcoach/profile/tests/test_nutrition_daily_unknown.py plus narrowly necessary existing profile tests. Do NOT edit gateway/, scripts/, sealing files, plan/Boulder, or unrelated files. No commit/push/PR. MUST DO: (1) write and run a baseline characterization test that passes unchanged for a complete known nutrition flow; (2) write failing tests for state_schema_version=2, unknown_steps, mutually exclusive known/unknown/unanswered, all 11 unknown-capable fields, macros->three None fields, previous/correction, all-unknown accepted event, legacy default, and missing downstream semantics; capture RED for the right assertion; (3) implement the smallest typed domain change; (4) run GREEN with `uv run --directory '/home/cube/projects/richard/.worktrees/nutricoach-v150-combined/dualcoach/profile' pytest -q tests/test_nutrition_daily_unknown.py tests/test_customer_nutrition_wizard.py tests/test_customer_reporting.py tests/test_wizard_domain.py`; (5) run LSP diagnostics, focused Ruff, and strict type checks on changed/new files. MANUAL QA CHANNEL: create `/tmp/ulw-task1-unknown-driver.py` via apply_patch; run `/home/cube/projects/richard/.worktrees/nutricoach-v150-combined/dualcoach/profile/.venv/bin/python -B /tmp/ulw-task1-unknown-driver.py`; it must execute a synthetic all-unknown nutrition_daily flow and print one JSON object with `status:\"PASS\"`, `unknown_steps:11`, and canonical calories/macros null/omitted. Delete the script via apply_patch and prove it absent. EVIDENCE: write `/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-1-domain-unknown.json` containing exact baseline, RED, GREEN, diagnostics, manual output, changed-file inventory, adversarial results, and cleanup. ADVERSARIAL: malformed action/state, stale version, dirty worktree explicit inventory, stale legacy state, misleading success output (record exact exit/status), flaky tests (no sleeps/time dependence), cancel/resume previous/correction, repeated interruption around save; prompt injection/hung command not applicable with reasons. CONSTRAINTS: no customer values outside synthetic fixtures; no sentinel string in answers/events; no broad cleanup; no test weakening/suppression; apply_patch for all edits. VERIFY: independently read back the evidence and changed files; DoneClaim must list changed_files, exact tests/results, manual QA artifact, cleanup, risks. STOP WHEN: RED and GREEN are captured, all named checks pass, manual JSON PASS is observed, evidence exists, temp script is gone, and DoneClaim is returned.\n\n<Category_Context>\nYou are working on tasks that don't fit specific categories but require substantial effort.\n</Category_Context>"},"host_pid":1353625,"final_response":"I read this as Todo 1 blocker closure - fixes, verification, and evidence are complete.\n\n**DoneClaim:** verifier blockers from `st_01a058a8` are fixed.\n\n- Reserved free-text sentinel literals are rejected.\n- Forged future nutrition unknown state/history is rejected.\n- All-unknown nutrition saves with `branch: null`; known normal remains normal.\n- Required suite: `96 passed`.\n- Focused suite: `19 passed`.\n- Ruff, compileall, LSP for model/test, and strict model/test checks pass.\n- Manual synthetic QA: `{\"branch\": null, \"status\": \"PASS\", \"unknown_steps\": 11}`.\n- Evidence updated: `.omo/evidence/nutricoach-telegram-checkin-stepper/task-1-domain-unknown.json`.\n\nRemaining pre-existing issue: whole-file strict checking of `wizard.py` still reports 30 unrelated legacy diagnostics.","run_stats":{"runtime_ms":728014,"turns":26,"tool_calls":79,"output_tokens":30869,"input_tokens":421869,"cache_read_tokens":1918976,"total_tokens":2371714,"generation_ms":643523,"tokens_per_second":48,"cost_usd":1.5979611999999999,"cache_hit_rate_last":0.9672033247614289,"cache_hit_rate_run":0.8197791823038262,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":26,"config_generation":0,"background_mode":"background"}