{"task_id":"st_019ff9ed","status":"completed","residency_state":"persisted_only","parent_session_id":"019fe727-6018-700d-9bb7-2ba4611da8e8","root_session_id":"019fe727-6018-700d-9bb7-2ba4611da8e8","depth":1,"execution_mode":"in-process","model":"openai-codex/gpt-5.6-sol","notify_on_terminal":true,"created_at":"2026-08-13T07:01:48.521Z","updated_at":"2026-08-15T03:46:45.114Z","notification":{"run_epoch":0,"notified_epoch":0},"name":"task23-generation-budget-root-cause-v1","task_summary":"Prove terminal generation validation root cause","category":"ultrabrain","requested_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"openai-codex/gpt-5.6-sol","source":"category","variant":"max","reasoning_effort":"xhigh"},"resolved_model":{"provider":"openai-codex","model_id":"gpt-5.6-sol","display":"GPT-5.6 Sol","source":"category","variant":"max","reasoning_effort":"xhigh"},"spawn_spec":{"version":1,"cwd":"/home/cube/projects/richard/traning coach","prompt":"Strictly read-only/offline root-cause proof; no provider calls, edits, live profile/service/Telegram mutation. Read plan/ledger and st_019ff976/st_019ff9e3 evidence. Focus on deterministic possibility that max completion budget256 cannot fit nutrition-coach-response-v2 strict 11-key object plus required grounded content. Inspect actual prompt/schema, validator minimum lengths/required arrays/IDs, provider adapter token parameter and any finish_reason/usage logs retained. Construct the smallest validator-accepted JSON object from the exact finalized checkin's non-sensitive structural IDs using disposable fixture, serialize exactly as requested, and measure bytes plus tokenizer estimate/actual tokenizer for gpt-5.6-terra if available. Compare against256 and correction prompt budget. Also audit other deterministic mismatches: response_format support/parameter naming, strict schema incompatibility, impossible grounding constraints, missing facts/allowed IDs. Form >=3 hypotheses and falsify. Run no model. Return one exact proven root cause if possible, with source lines/tests and smallest code/policy repair; if evidence is insufficient, state that rather than speculate. Explain whether another replacement could be justified only after that repair and how to preserve exactly-once lineage. One deliverable.\n\n<Category_Context>\nYou are working on DEEP LOGICAL REASONING / COMPLEX ARCHITECTURE tasks.\n\n**CRITICAL - CODE STYLE REQUIREMENTS (NON-NEGOTIABLE)**:\n1. BEFORE writing ANY code, SEARCH the existing codebase to find similar patterns/styles\n2. Your code MUST match the project's existing conventions - blend in seamlessly\n3. Write READABLE code that humans can easily understand - no clever tricks\n4. If unsure about style, explore more files until you find the pattern\n\nStrategic advisor mindset:\n- Bias toward simplicity: least complex solution that fulfills requirements\n- Leverage existing code/patterns over new components\n- Prioritize developer experience and maintainability\n- One clear recommendation with effort estimate (Quick/Short/Medium/Large)\n- Signal when advanced approach warranted\n\nResponse format:\n- Bottom line (2-3 sentences)\n- Action plan (numbered steps)\n- Risks and mitigations (if relevant)\n</Category_Context>"},"final_response":"I read this as a read-only Task23 root-cause proof - I inspected retained evidence and ran only offline validators and mocked transport probes.\n\n## Verdict\n\n- **A 256-token completion can fit the strict 11-key response.**\n- **The finalized grounding, IDs, targets, and validator are jointly satisfiable.**\n- **The configured Codex adapter did not transmit either the 256-token limit or the native JSON Schema request.** This is a proven integration defect.\n- The first response in both successor attempts was valid JSON with the exact key set and contract version, but failed an unspecified semantic predicate.\n- Because raw responses, detailed predicate paths, finish status, and usage were discarded, **no clause-level cause of the semantic rejection can now be proven**.\n\n## Exact grounding reconstruction\n\nRebuilding the production request from the finalized check-in reproduced the retained revision exactly:\n\n```text\nevent:    wizard_995f04a3b8bc256fa13ff407\nrevision: f266949e05195d9a23c728264f84507e3edcea207126f501df0251924c117ae1\n```\n\nCurrent targets:\n\n```json\n{\"calories\":2760,\"protein_g\":160,\"carbs_g\":350,\"fat_g\":80}\n```\n\nRelevant allowed IDs included:\n\n```text\nEvidence:\ncheckin.current\napproved-6ae32d168621ccdd\nnaver:seongdo1994:224189737338\nsafe-rewrite-3c26aadac3503c70\napproved-1fb81ec4ce817ec3\n\nFocus:\ncheckin.bodyweight\ncheckin.calories\ncheckin.condition\ncheckin.digestion\ncheckin.macros\ncheckin.sleep_duration\ncheckin.sleep_quality\ncheckin.training_summary\ncheckin.water\n```\n\n## Minimum accepted fixture\n\nThis compact, grounded Korean fixture passed the real `diagnose_coach_judgment` boundary:\n\n```json\n{\"schema_version\":\"nutrition-coach-response-v2\",\"customer_key\":\"task22_dm_rehearsal\",\"revision_binding_digest\":\"f266949e05195d9a23c728264f84507e3edcea207126f501df0251924c117ae1\",\"decision\":\"maintain\",\"confidence\":\"low\",\"evidence_ids\":[\"checkin.current\"],\"interpretation\":\"유지\",\"recommendation_unit_system\":\"kcal_and_grams\",\"recommendation\":{\"calories\":2760,\"protein_g\":160,\"carbs_g\":350,\"fat_g\":80},\"next_checkin_focus_ids\":[\"checkin.water\"],\"customer_draft\":\"유지해요.\"}\n```\n\nMeasurements:\n\n- UTF-8: **478 bytes**\n- `o200k_harmony`: **140 tokens**\n- `o200k_base`: **140 tokens**\n- `cl100k_base`: **139 tokens**\n- Legacy GPT/P50/R50 encodings: **180 tokens**\n- Result: `accepted`\n\nThe literal validator floor, using one-character text values, is **461 bytes / 135 `o200k_harmony` tokens**. It also passes, exposing that Korean/naturalness is prompt-only rather than validator-enforced.\n\n## Deterministic hypotheses\n\n| Hypothesis | Result | Proof |\n|---|---|---|\n| 256 tokens are inherently insufficient | **Falsified** | Real validator accepted the 140-token fixture; every locally available OpenAI encoding measured below 256. |\n| Native structured-output support mismatched the adapter | **Confirmed defect** | Caller supplied strict `response_format.json_schema`, but an offline Codex adapter spy emitted only `input`, `instructions`, `model`, `store`, `stream`, and `timeout`. |\n| Grounding IDs, targets, or semantics make acceptance impossible | **Falsified** | Exact reconstructed revision and structural IDs produced an accepted response. |\n| Validator is not enforcing strictness | **Falsified** | An unoffered evidence ID and changed target were rejected as `semantic_validation_failed`; an extra key was rejected as `invalid_shape`. |\n\n## Proven failure evidence\n\nGateway logs retained this for both successor attempts:\n\n```text\n14:13:52 ... correction=1 diagnostic=semantic_validation_failed\n15:50:31 ... correction=1 diagnostic=semantic_validation_failed\n```\n\nThat diagnostic is assigned only after:\n\n1. JSON parsing succeeds.\n2. The root is an object.\n3. Its key set equals all 11 required keys.\n4. `schema_version` equals `nutrition-coach-response-v2`.\n\nTherefore the initial failures were **not malformed/truncated JSON or missing-key failures**. At least one later semantic condition failed, such as binding, offered IDs, target/decision consistency, number grounding, copy consistency, or safety.\n\nThe correction responses also failed, but their diagnostic codes are only inside non-reversible audit hashes. The exact predicates cannot be recovered.\n\n## Adapter and retained-metadata defect\n\nThe configured route was `openai-codex` / `gpt-5.6-terra`, which resolves through `_CodexCompletionsAdapter`.\n\nAn offline spy proved:\n\n```text\nresponse_format forwarded: false\ntoken budget forwarded:    false\n```\n\nThe adapter also synthesized `finish_reason=\"stop\"` for a mocked incomplete provider result. Although it can expose usage to its caller, `_request_physique_coaching_stage` discards both usage and finish status and returns only text.\n\nConsequently:\n\n- There was no actual transmitted 256-token cap.\n- There was no provider-side strict JSON Schema request.\n- No trustworthy finish reason, incomplete reason, or token usage was retained.\n- All generation-provider receipts remained null.\n\nThe smallest safe repair is to translate Chat Completions `response_format` into Responses API `text.format` when supported, otherwise fail closed or use a structured-output-capable provider. It should also preserve provider status/incomplete reason and privacy-safe token counts. This repairs a proven transport defect, but it does **not** prove or repair the unknown semantic predicate.\n\n## Replacement eligibility and lineage\n\nThe current successor is terminal:\n\n```text\ntoken: 664046dbca210afc\ngeneration: 6\nattempt: 2/2\nstate: generation_failed\nerror: invalid_model_output, non-retryable\nrecord digest: 9bc0920c5be80a312ab04f3cbb4f75a4d69cbee967ed9bddd402959ea7347454\ndraft revision: null\ndelivery/provider receipts: null\n```\n\nIt is **not currently authorized for another replacement**:\n\n- Retained evidence says `no_further_retry_authorized: true`.\n- The existing one-purpose journal is already `replaced`.\n- That authority was pinned only to predecessor `90f6df222e870e58`.\n- The semantic cause has not been repaired.\n\nIf a future replacement becomes justified after repair and fresh owner authorization, exactly-once preservation requires:\n\n1. CAS against token `664046dbca210afc`, generation `6`, and terminal digest `9bc092...7454`.\n2. Append one deterministic new token with:\n   - `lineage_parent_token = 664046dbca210afc`\n   - `lineage_predecessor_digest = 9bc092...7454`\n3. Preserve both existing histories byte-for-byte.\n4. Copy the same customer/session/event/revision request binding.\n5. Use a `prepared -> replaced` one-time journal under the delivery lock.\n6. Reject multiple children; duplicate/restart execution must resolve to the same child.\n7. Create no draft delivery or customer send.\n\nNo provider calls, model runs, edits, or live state mutations were performed.","run_stats":{"runtime_ms":721533,"turns":38,"tool_calls":155,"output_tokens":28550,"total_tokens":5262164,"generation_ms":653302,"tokens_per_second":44,"cost_usd":5.984442000000001,"cache_hit_rate_last":0.9917502787068004,"cache_hit_rate_run":0.8933757820122004}}