{"task_id":"st_01a05a5b","status":"cancelled","residency_state":"disposed","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":"2026-09-01T00:26:02.856Z","updated_at":"2026-09-01T00:54:59.681Z","notification":{"run_epoch":0,"notified_epoch":-1},"name":"wave3-qualification","task_summary":"Run full suites diagnostics and privacy sentinel","description":"Run full affected qualification gates","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 7 qualification baseline; you are the primary test/diagnostic executor. DELIVERABLE: Full source suite results, changed-file inventory/hashes/diagnostics, deterministic privacy-sentinel QA, clean disposable wheel/import checks, cleanup, DoneClaim or exact blocker. WORKTREE: `/home/cube/projects/richard/.worktrees/nutricoach-v150-combined`; plan root evidence at `/home/cube/projects/richard/traning coach/.omo/evidence/nutricoach-telegram-checkin-stepper/task-7-qualification-run.json`. No commit/push/PR/customer/network. First inventory every changed/new product/test/script file from Task1-6 receipts plus actual current hashes; do not trust summaries. Run ONCE with environment captured: full profile suite using project command (`uv run --directory .../dualcoach/profile pytest -q`, or exact repository equivalent if uv absent) and full affected root gateway/customer suites including all `tests/gateway` plus any directly imported root customer/onboarding tests; record counts/duration/exit0. Do not rerun a passing full suite. Fix only failures proven caused by Todos1-6, test-first; record pre-existing failures separately and do not suppress/weaken/skip. DIAGNOSTICS: LSP on every changed source/test/script file, focused Ruff; strict ty and basedpyright on every new typed module and strict test/QA support; compileall; import from outside source and from independently built disposable wheels with PYTHONPATH cleared. Audit package inclusion for every Todo1-6 wheel-bound source. PRIVACY REAL QA: with isolated actual WizardService/Bridge/Stepper/BindingStore/fake transport and a fresh synthetic sentinel answer, drive known/unknown/correction/uncertainty/resume; assert the sentinel appears nowhere in customer-visible prompt/card/callback payload, structured logs, projection state, binding files, or retained evidence output. Do not write the sentinel itself into evidence; record only sentinel SHA and per-surface absent booleans. Require exactly one value-free card, no later action, unknown + valid-history previous controls, duplicate/recovery sends zero, deterministic async event waits/no sleeps. Validate malformed/corrupt/stale/restart paths remain deterministic. Build temporary wheels from clean copied inputs, validate ZIP/RECORD/critical member hashes and installed import origins; remove them. CLEANUP: remove all task temp/bytecode/build/debug/journal artifacts created by you; prove absent, preserve unrelated/pre-existing assets. EVIDENCE must include source inventory, exact commands/counts, diagnostics, privacy oracle, packaging/import parity, adversarial classes, cleanup, forbidden-effects zero. Do not perform the three independent PASS audits yourself; root will dispatch fresh read-only auditors after stable baseline. STOP WHEN: all qualification gates pass with stable hashes and no temp artifacts, or return one reproducible blocker.\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,"error_message":"No evidence or progress after three recovery turns; replace with bounded read-only lanes","run_stats":{"runtime_ms":1736637,"turns":7,"tool_calls":26,"output_tokens":3086,"input_tokens":107753,"cache_read_tokens":332800,"total_tokens":443639,"generation_ms":65551,"tokens_per_second":47,"cost_usd":0.7977450000000001,"cache_hit_rate_last":0.983580235114212,"cache_hit_rate_run":0.7554142180396002,"token_status":"complete","cost_status":"reported","duration_status":"monotonic"},"task_seq":44,"config_generation":0,"background_mode":"background"}