{"type":"transition_applied","payload":{"type":"transition_applied","status":"running","residency_state":"resident"}}
{"type":"assistant_message","payload":{"text":"I read this as a read-only forensic investigation into the customer summary formatter path in `/home/cube/projects/richard/hermes-agent`. Let me begin with parallel exploration.\n\n"}}
{"type":"tool_execution","payload":{"tool":"ls","is_error":false}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"assistant_message","payload":{"text":"This is a large codebase. Let me search for the key terms from the hypothesis in parallel.\n\n"}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"The core formatter is `render_authoritative_customer_summary` in `nutrition_onboarding_reconciliation.py`. Let me read it and the runtime publication path in parallel.\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"The formatter is `render_authoritative_customer_summary`. Now let me find the `StructuredItem`/`StructuredItems` types (likely in `checkin_cli`), what `reconciliation_answers` returns, and the contract field definitions.\n\n"}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":true}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"`StructuredItem` isn't in hermes-agent — it's in the external `checkin_cli` package. Let me locate it in the venv and examine the contract, the service `reconciliation_answers`, and the existing formatter tests.\n\n"}}
{"type":"tool_execution","payload":{"tool":"bash","is_error":true}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"assistant_message","payload":{"text":"The bash tool only allows read-only gh/curl — no arbitrary shell. Let me locate `checkin_cli` inside the venv directories and find where `reconciliation_answers` is defined.\n\n"}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"ls","is_error":false}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"assistant_message","payload":{"text":"\n\n"}}
{"type":"tool_execution","payload":{"tool":"ls","is_error":false}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"assistant_message","payload":{"text":"`physique_checkin_cli` is an editable install. Let me read the editable finder to locate `checkin_cli` sources.\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"`checkin_cli` is an editable dependency at `/home/cube/.hermes/profiles/dualcoachtest/workspace/checkin_cli/checkin_cli`. Let me explore it for the `StructuredItem`/`StructuredItems` types and `reconciliation_answers`.\n\n"}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"tool_execution","payload":{"tool":"find","is_error":false}}
{"type":"assistant_message","payload":{"text":"\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"This is the crux — the \"structured\" fields are `StructuredItems` with `status`/`items` or raw `{\"status\": \"none\", \"items\": []}` dicts. Let me read the models and find where `reconciliation_answers` is defined (the service feeding the formatter).\n\n\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"Now let me read `reconciliation_answers` in the service and the existing formatter tests to understand the exact return shape and test expectations.\n\n\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"I now have the core causal mechanism. Let me trace the clarification state machine (`current_index`, `record[\"state\"]`) and the copy `card()` builder to pin the exact runtime path and card content.\n\n"}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"Let me read the checkin_cli reconciliation record builder and the gateway clarification text renderer to complete the state-machine trace.\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"Let me examine the existing tests around the attestation/clarification publish to find the test seam and see whether `render_authoritative_customer_summary` is currently covered.\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"Let me pin exact line numbers in the formatter and confirm the clarification-answer re-publish handler that reaches `_publish` with `record[\"state\"]==\"resolved\"` and `current_index>0`.\n\n"}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"I have the complete causal path. Let me do one final cross-check for any direct unit test of the formatter so I can pinpoint the test gap.\n\n"}}
{"type":"tool_execution","payload":{"tool":"grep","is_error":false}}
{"type":"assistant_message","payload":{"text":"\n\n"}}
{"type":"tool_execution","payload":{"tool":"read","is_error":false}}
{"type":"assistant_message","payload":{"text":"I have the full causal chain. Here is the complete findings report.\n\n<analysis>\n**Literal Request**: Trace the exact runtime path that produced a screenshot card after a clarification, proving H1: the customer-summary formatter stringifies raw dicts/StructuredItems and misuses field names and truthiness, yielding `{'items': [], 'status': 'none'}`, `목표: 미입력`, activity text + `· 미입력`, and a false safety-health warning.\n\n**Actual Need**: A file:line causal chain from collected answers → clarification → re-publication → rendered card, exact input dict, exact formatter output strings, and the smallest unit-test seam so the bug can be fixed and regression-tested.\n\n**Success Looks Like**: Precise call chain with line numbers, the raw `answers` dict fed in, the four rendered output strings, and one pure-function seam (`render_authoritative_customer_summary`) that currently has zero direct tests.\n</analysis>\n\n<results>\n<files>\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/nutrition_onboarding_reconciliation.py - The buggy formatter `render_authoritative_customer_summary` (lines 59-107). Root of all four symptoms.\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/telegram_nutrition_onboarding_runtime_publication.py - Runtime publish path that calls the formatter after clarification (line 128) and wraps it via `render_reconciliation_text` (line 139).\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/telegram_nutrition_onboarding_runtime_collection.py - Ingress handler for a clarification reply; calls `service.revise_reconciliation_answer` then `_publish`, re-issuing the card (lines 162-210).\n- /home/cube/.hermes/profiles/dualcoachtest/workspace/checkin_cli/checkin_cli/nutrition_onboarding.py - Service: `reconciliation_answers` (line 414, returns `answers`), `revise_reconciliation_answer` (line 529, advances reconciliation after a clarification), `submit_answer`/`attest_baseline`.\n- /home/cube/.hermes/profiles/dualcoachtest/workspace/checkin_cli/checkin_cli/nutrition_onboarding_reconciliation.py - `build_reconciliation` (line 84, sets `current_index=0`, state `clarifying`/`resolved`) and `advance_reconciliation` (line 106, bumps `current_index`, sets `resolved` when all clarifications answered).\n- /home/cube/.hermes/profiles/dualcoachtest/workspace/checkin_cli/checkin_cli/nutrition_onboarding_contract.py - Canonical field names (`QUESTION_FIELDS`, line 19) and `example_answer` (line 66) showing structured fields are `{\"status\": \"none\", \"items\": []}` dicts and belief fields are bools.\n- /home/cube/.hermes/profiles/dualcoachtest/workspace/checkin_cli/checkin_cli/nutrition_onboarding_models.py - `StructuredItems`/`StructuredItemStatus` (lines 70, 90-121) proving structured values are dict-like objects serialized to `{\"status\": \"none\", \"items\": []}`.\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/telegram_nutrition_onboarding_copy.py - `card()` (line ~52) and `PROMPTS`; the card base text and the `_publish` heading repurposed into the summary card.\n- /home/cube/projects/richard/hermes-agent/gateway/platforms/nutrition_onboarding_reconciliation_copy.py - `render_clarification_text` (line 9), the pre-clarification card body.\n- /home/cube/projects/richard/hermes-agent/tests/gateway/test_nutrition_onboarding_reconciliation.py - Existing reconciliation tests (line 207 renders `render_reconciliation_text`), confirming `render_authoritative_customer_summary` itself is never test-covered — the seam.\n</files>\n\n<answer>\nH1 is confirmed. The formatter's bugs are a field-name mismatch against the canonical contract plus `str()` on structured dicts.\n\n**Exact runtime path (after clarification)**\n1. Customer fills onboarding; collected answers stored raw in the session document (`nutrition_onboarding.py:157 submit_answer`). Structured fields are stored as their JSON form `{\"status\": \"none\", \"items\": []}`; belief fields as bools (see `contract.py:66 example_answer`).\n2. On `customer_attestation`, `_publish` calls `service.reconciliation_answers()` (`publication.py:71-72`, def `nutrition_onboarding.py:414`) -> deepcopy of `document[\"answers\"]`, raw JSON dicts. LLM reconciliation yields clarifications; record created with `current_index=0`, state `clarifying` (`reconciliation.py:84 build_reconciliation`).\n3. Each clarification reply is routed by `runtime_collection.py:162-176` (`clarification_field` in the publication payload, set at `publication.py:166`) to `service.revise_reconciliation_answer` (`nutrition_onboarding.py:529`), which stores the revised answer and calls `advance_reconciliation` (`nutrition_onboarding_reconciliation.py:106`), incrementing `current_index`. It re-publishes afterward (`runtime_collection.py:210`).\n4. After the last clarification, `advance_reconciliation` sets `state=\"resolved\"` and `current_index = N` (> 0). The re-published `customer_attestation` then hits the `else` branch: `if current_index:` is truthy, so `summary_ko = render_authoritative_customer_summary(answers)` (`publication.py:116,126-129`). `render_reconciliation_text` wraps that string into the card body (`publication.py:138-141`, join at `nutrition_onboarding_reconciliation.py:34-58`). This is exactly the \"card after clarification.\"\n\n**Exact inputs** (example answers dict, confirmed by `contract.py:66` and `models.py`):\n- `goal_type=\"maintain\"` (no `goal` key)\n- `activity_category=\"moderate\"`, `activity_rationale=\"주 3회 근력 운동\"` (no `training_details` key)\n- `allergies` / `intolerances` / `dietary_preferences` / `religious_ethical_exclusions` / `conditions` / `medications` = `{\"status\": \"none\", \"items\": []}`\n- `pregnancy_breastfeeding=False`, `eating_disorder_risk=False`\n- `meal_count=3`, `cooking_access=\"기본 조리 가능\"`, `budget_band=\"보통\"`, `schedule_constraints=\"없음\"`\n\n**Why each symptom happens** (`nutrition_onboarding_reconciliation.py`)\n- `value()` (lines 62-68) only short-circuits on `None`/`\"\"`/`[]`; it never checks `{}` and falls to `str(raw)` (line 68). Non-empty dicts `{\"status\":\"none\",\"items\":[]}` stringify to `\"{'status': 'none', 'items': []}\"`. This literal appears in the restriction line (and would appear in any stringified structured field).\n- `- 목표: {value('goal')}` (line 93) reads `goal`, but the contract field is `goal_type` -> `answers.get('goal')` is `None` -> `미입력`. (No `goal` key exists anywhere.)\n- `- 활동: {value('activity_category')} · {value('training_details')}` (lines 94-97): `activity_category` renders \"moderate\", but `training_details` does not exist (the real field is `activity_rationale`) -> `미입력` -> `활동: moderate · 미입력`.\n- False health warning (lines 70-80): `health_fields` uses `medical_conditions` and `pregnancy_lactation` (real fields: `conditions`, `pregnancy_breastfeeding`) so those read `None`; but `medications` is the dict string `\"{'status': 'none', 'items': []}\"` and `eating_disorder_risk` is bool `False` -> `str(False)=\"False\"`. Neither is in `{\"없음\",\"해당 없음\",\"아니요\"}` -> `any(...)` is True -> `검토할 입력이 있습니다.` even though nothing meaningful was provided.\n- Restriction line (lines 82-90) uses `religious_restrictions` (real: `religious_ethical_exclusions`), so 3 of 4 fields stringify as dicts: `... · ... · ... · 없음` when the customer simply reported none.\n\n**Exact formatter output** (what appeared in the card's summary block):\n```\n- 목표: 미입력\n- 활동: moderate · 미입력\n- 식사: 하루 3끼\n- 조리·예산: 기본 조리 가능 · 보통\n- 식사 시간: 없음\n- 알레르기·불내증·식품 제한: {'status': 'none', 'items': []} · {'status': 'none', 'items': []} · {'status': 'none', 'items': []} · 없음\n- 건강 관련 입력: 검토할 입력이 있습니다.\n```\n(Dict repr key order is whatever was parsed from JSON; the H1 `{'items': [], 'status': 'none'}` matches this stringified dict.)\n\n**Minimal test seam**\n`render_authoritative_customer_summary` (pure function, `nutrition_onboarding_reconciliation.py:59`) is imported by `_publish` and `runtime_collection` but has zero direct tests — it is not in any import list in `tests/gateway/test_nutrition_onboarding_reconciliation.py` (lines 17-27). Add a focused unit test there that calls it with a canonical `answers` dict (all 22 contract keys, structured fields as `{\"status\": \"none\", \"items\": []}`, goal as `goal_type`, activity rationale as `activity_rationale`) and asserts both the current (buggy) output and the corrected output (goal rendered, no `· 미입력` via `activity_rationale`, empty restriction set, `별도 검토 입력이 없습니다.`). This isolates all four bugs without touching the service or Telegram path.\n\n**Root causes (fix direction, not applied):** (a) formatter field names must match `QUESTION_FIELDS`: `goal`→`goal_type`, `training_details`→`activity_rationale`, `medical_conditions`→`conditions`, `pregnancy_lactation`→`pregnancy_breastfeeding`, `religious_restrictions`→`religious_ethical_exclusions`; (b) `value()` must treat empty/`NONE`-status dicts as absent instead of `str()`-ing them; (c) health review must interpret `StructuredItems(status=\"none\")` and bool `False` as \"no review needed.\"\n</answer>\n\n<next_steps>\n- Add the seam test for `render_authoritative_customer_summary` in /home/cube/projects/richard/hermes-agent/tests/gateway/test_nutrition_onboarding_reconciliation.py before changing behavior, so the false-positive output is pinned first.\n- Then align the formatter's field names with `QUESTION_FIELDS` (`contract.py:19`) and add an \"is empty/none\" predicate for structured dicts and `False`.\n- Optionally add one `_publish` integration assert (mirroring `tests/gateway/test_telegram_nutrition_onboarding.py:1330-1370`) with a resolved record `current_index=1` to confirm the card text no longer contains `미입력` or the dict repr.\n- Ready to proceed — the causal chain and inputs are fully pinned; no further discovery needed.\n</next_steps>\n</results>\n\nRead-only investigation complete. No files, services, network, or evidence were modified."}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"resident"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"persisted_only"}}
{"type":"suspended","payload":{"reason":"reload"}}
{"type":"reconcile_reattached","payload":{"session_path":"/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a00a91/sessions/st_01a00a91/2026-08-16T12-34-54-950Z_01a00a91-6165-7ffe-a4ea-66fdea692ca0.jsonl"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"persisted_only"}}
{"type":"suspended","payload":{"reason":"reload"}}
{"type":"reconcile_reattached","payload":{"session_path":"/home/cube/projects/richard/traning coach/.omo/senpi-task/children/st_01a00a91/sessions/st_01a00a91/2026-08-16T12-34-54-950Z_01a00a91-6165-7ffe-a4ea-66fdea692ca0.jsonl"}}
{"type":"transition_applied","payload":{"type":"transition_applied","status":"completed","residency_state":"evicted"}}
{"type":"evicted","payload":{"cause":"evict"}}