{"task_id":"st_019fd7ed","status":"cancelled","residency_state":"disposed","parent_session_id":"019fd78b-bc20-7f7e-baca-b4bb0dc6b301","root_session_id":"019fd78b-bc20-7f7e-baca-b4bb0dc6b301","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-08-06T16:34:48.282Z","updated_at":"2026-08-06T16:36:18.902Z","notification":{"run_epoch":0,"notified_epoch":-1},"name":"dualcoach-dm-migration-mapper","task_summary":"Task 5 customer-DM migration의 exact symbol/file seam map 작성","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"},"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":"Output-only seam mapping for plan task `5. Migrate bootstrap and onboarding to customer DM`. Do not edit files or run tests.\n\nRead plan Specification/Todo 5, Task 4 typed address module, Golden Path contract, and at most 16 directly relevant current source/test files in `/home/cube/projects/richard/hermes-agent`. Preserve dirty-worktree context. Focus on real handler/runtime paths, not hypothetical redesign.\n\nReturn <=12,000 UTF-8 characters with exact symbol/file map and minimum ordered TDD implementation split. Cover every customer-facing surface:\n- bootstrap registration/consent route;\n- onboarding Q1-Q22 publication;\n- ForceReply anchor and direct typed answers;\n- activation notice;\n- check-in prompts/responses;\n- coaching delivery destination.\nKeep trainer, owner, operator cards/messages in staff-only routes. Owner/trainer must not answer customer questions from staff surfaces. Preserve canonical customer key and consent. Store no phone-specific state. All customer DM topic IDs canonical 0.\n\nFor each surface report:\n1. exact current file + class/function/method;\n2. current route source and why it is wrong/right;\n3. exact smallest failing-first existing/new test and expected failure;\n4. exact minimum source change and dependencies;\n5. task-6 readiness/gate work that must remain deferred.\n\nAlso return:\n- an ordered file split safe for root apply_patch (tests before source), minimizing shared-file conflicts;\n- current tests already covering real handlers, wrong-surface negatives, direct typed answers, ForceReply, activation notice, check-in, delivery;\n- manual QA driver/scenario runnable without a live customer;\n- all nine adversarial classes and cleanup obligations;\n- explicit list of files that must NOT be touched because task 5 does not own readiness gates or generation/outbox.\n\nDo not return patches or generic prose. Return concise Markdown tables and exact symbol names. Stop after the implementation map.\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":489237,"error_message":"Mapper continued read/bash loop after explicit stop-and-return steer; replace with bounded surface-specific test/patch workers.","run_stats":{"runtime_ms":90614,"turns":7,"tool_calls":24,"output_tokens":2363,"total_tokens":362603,"generation_ms":57756,"tokens_per_second":41,"cost_usd":0.7039620000000001,"cache_hit_rate_last":0.6978572334220869,"cache_hit_rate_run":0.7205862758161226}}