{"task_id":"st_019fd7d4","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-5.4-mini","notify_on_terminal":true,"created_at":"2026-08-06T16:07:09.799Z","updated_at":"2026-08-06T16:14:42.270Z","notification":{"run_epoch":1,"notified_epoch":0},"name":"dualcoach-address-source-payload","task_summary":"적용된 tests에 맞는 typed address source lossless 반환","category":"quick","requested_model":{"provider":"openai-codex","model_id":"gpt-5.4-mini","display":"openai-codex/gpt-5.4-mini","source":"category","reasoning_effort":"medium"},"fallback_models":[{"provider":"openai-codex","model_id":"gpt-5.6-luna","display":"openai-codex/gpt-5.6-luna","source":"category","reasoning_effort":"high"}],"resolved_model":{"provider":"openai-codex","model_id":"gpt-5.4-mini","display":"GPT-5.4 mini","source":"category","reasoning_effort":"medium"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"Source-only implementation for plan task 4. Do not write files and do not run tests.\n\nRead exactly `/home/cube/projects/richard/hermes-agent/tests/gateway/test_telegram_nutrition_addresses.py` and `/home/cube/projects/richard/hermes-agent/AGENTS.md`. Author the minimal strict Python module `gateway/platforms/telegram_nutrition_addresses.py` that satisfies every applied test and Specification 4 semantics. Keep it <=250 LOC, immutable typed dataclasses/enums, typed actionable exceptions, bool-not-int checks, no Any, no fallback beyond explicit legacy detection.\n\nReturn ONLY minified JSON with complete source bytes compressed losslessly:\n{\"path\":\"gateway/platforms/telegram_nutrition_addresses.py\",\"encoding\":\"zlib+base64\",\"sha256\":\"<sha256 decoded UTF-8 bytes>\",\"data\":\"<base64>\"}\nNo markdown, prose, commands, tests, or other keys. Compute the payload in memory; do not create temp files.\n\n<Category_Context>\nYou are working on SMALL / QUICK tasks.\n\nEfficient execution mindset:\n- Fast, focused, minimal overhead\n- Get to the point immediately\n- No over-engineering\n- Simple solutions for simple problems\n\nApproach:\n- Minimal viable implementation\n- Skip unnecessary abstractions\n- Direct and concise\n</Category_Context>\n\n<Caller_Warning>\nTHIS CATEGORY USES A SMALLER/FASTER MODEL (gpt-5.6-luna-fast).\n\nThe model executing this task is optimized for speed over depth. Your prompt MUST be:\n\n**EXHAUSTIVELY EXPLICIT** - Leave NOTHING to interpretation:\n1. MUST DO: List every required action as atomic, numbered steps\n2. MUST NOT DO: Explicitly forbid likely mistakes and deviations\n3. EXPECTED OUTPUT: Describe exact success criteria with concrete examples\n\n**WHY THIS MATTERS:**\n- Smaller models benefit from explicit guardrails\n- Vague instructions may lead to unpredictable results\n- Implicit expectations may be missed\n**PROMPT STRUCTURE (MANDATORY):**\n```\nTASK: [One-sentence goal]\n\nMUST DO:\n1. [Specific action with exact details]\n2. [Another specific action]\n...\n\nMUST NOT DO:\n- [Forbidden action + why]\n- [Another forbidden action]\n...\n\nEXPECTED OUTPUT:\n- [Exact deliverable description]\n- [Success criteria / verification method]\n```\n\nIf your prompt lacks this structure, REWRITE IT before delegating.\n</Caller_Warning>"},"host_pid":489237,"error_message":"Plain-base64 regeneration remained live across repeated goal turns; root will implement the minimum module against the delegated applied tests.","run_stats":{"runtime_ms":69438,"turns":1,"tool_calls":1,"output_tokens":2715,"total_tokens":67324,"generation_ms":39458,"tokens_per_second":69,"cost_usd":0.06067425,"cache_hit_rate_last":0,"cache_hit_rate_run":0}}