{"task_id":"st_01a01574","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":"2026-08-18T15:18:49.428Z","updated_at":"2026-08-24T10:58:01.199Z","notification":{"run_epoch":40,"notified_epoch":40},"name":"verify-repaired-golden-path","task_summary":"Seal repaired candidate and rerun strict Golden Path","description":"Verify repaired installed candidate","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":"In /home/cube/projects/richard/hermes-agent, produce one verified repaired Task26 installed-candidate evidence bundle for the current uncommitted source changes that normalize unambiguous closed-choice Korean variants. Scope: preserve all unrelated dirty changes; do not commit, push, release, touch Telegram, start live services, mutate profiles, activate/deliver customers, or edit the plan checkbox. Build a fresh wheel/candidate from the current source, bind exact source/product/wheel digests and import origins with PYTHONPATH unset, and run the strict clarification-root Golden Path using the real production and preview handoffs with all 22 natural-language fields, specifically activity_category='보통 수준', zero clarification issues/re-asks, customer attestation, owner review, activation, one check-in, approval, one-use capability, exactly one synthetic delivery, duplicate rejection, archive/disable/quiescence, and cleanup. Also run the focused parser/policy regressions, related tests, the full fresh-interpreter gateway suite, independent Golden Path verifier, installed-wheel provenance verification, and cleanup seal. If any gate fails, diagnose and fix only failures caused by this change test-first; do not weaken tests or expand unrelated scope. Deliverable: one immutable evidence directory plus candidate digest, exact commands/results/counts, hashes, changed files, and any pre-existing failures. Observable stop condition: every required offline/disposable gate is PASS on one exact installed candidate with no live/customer action, or a fail-closed blocker with exact evidence. Do not start Task26 review lanes.\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":1082531,"final_response":"I read this as Phase 1 prefreeze qualification - return the exact phase-one fail-closed result.\n\n## FAIL_CLOSED\n\nEvidence root:\n\n`/home/cube/projects/richard/traning coach/.omo/evidence/task26/task26-direct-url-portable-prefreeze-st_01a01574-v31`\n\n- Derived candidate: `7997f03e8eb5d439ed3eec672a22237999e513cf8b98b48c4b5656b075ec7c99`\n- `FAIL-CLOSED.json`: `26cc501d79d8dfe04e95029746f0d1224b6785f668d14a0c84a74149812b5939`\n\nPassed:\n\n- Reproducible Hermes/profile/corrected-Ty wheel builds\n- Direct-url focused regression matrix\n- Focused qualification\n- Full Gateway\n- Ruff/Ty\n- Canonical candidate derivation\n\nReceipts:\n\n- Full Gateway: `192dcc42d7442da9baa0ed20dc67419a0e6933b5001eb64fea9c8afd7875157a`\n- Focused: `71bb7ba9bfda26beec3490c0196558e773551d33206cd6668c8bec3331488214`\n- Ruff/Ty: `d63ab3df51a50c66f9c57056288c7d4faf9dce413552d89215714320ac2b748e`\n\nMandatory Phase 1 Golden, profile, runtime direct-url projection, authority, expected-state, and final prefreeze-seal gates did not complete. No authority event was appended. The disposable runtime was removed and the evidence root sealed `0500/0400`.","run_stats":{"runtime_ms":442433,"turns":6,"tool_calls":11,"output_tokens":3483,"total_tokens":2129092,"generation_ms":88251,"tokens_per_second":39,"cost_usd":2.3817850000000003,"cache_hit_rate_last":0.9978911473056041,"cache_hit_rate_run":0.9948019602852641}}