{ "trace_id": "Eyq9tJ_zuOSOJb", "timestamp": "2026-03-23T18:47:02.155Z", "model": "gpt-4o-mini", "prompt_version": "normalizer_v2_0_1", "schema_version": "v2_0_1", "case_id": "BQ-009", "user_question_raw": "Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже.", "context": { "period_hint": null, "business_context": null, "expected_route": null, "case_id": "BQ-009", "eval_mode": "single-pass-strict" }, "request_payload_redacted": { "model": "gpt-4o-mini", "baseUrl": "https://api.openai.com/v1", "temperature": 0, "maxOutputTokens": 900, "promptVersion": "normalizer_v2_0_1", "systemPrompt": "Ты semantic-normalizer для бухгалтерского ассистента NDC.\nТвоя роль: только нормализация запроса пользователя в строгий JSON-контракт.\n\nЖесткие правила:\n1) Не давай бухгалтерский ответ по сути вопроса.\n2) Возвращай только JSON без markdown и пояснений.\n3) JSON обязан соответствовать переданной schema normalized_query_v1.\n4) Если период не указан, не выдумывай его; отмечай ambiguity.\n5) Для цепочек документов/проводок/оплат поднимай causal и cross-entity признаки.\n6) Для точечного object trace (номер/строка/ref) поднимай needs_exact_object_trace=true.\n7) Используй терминологию NDC.", "developerPrompt": "You are semantic-normalizer for accounting assistant NDC.\nReturn strict JSON only, no markdown, no comments.\n\nTarget schema: normalized_query_v2_0_1.\n\nCore behavior (v2.0.1):\n1. Decompose message into semantic fragments.\n2. Classify fragment domain relevance and business scope.\n3. Fill route-critical flags and candidate labels.\n4. For each fragment set execution readiness:\n - executable\n - executable_with_soft_assumptions\n - needs_clarification\n5. Clarification must be rare and justified.\n\nReadiness policy:\n- If fragment is in-scope, maps to recognizable accounting area, and route can be chosen -> do NOT set needs_clarification.\n- Use executable_with_soft_assumptions when request is operationally understandable but details are implicit.\n- Use needs_clarification only when missing information blocks reliable routing/execution.\n\nDo not over-require formality:\n- Do not require document IDs, exact periods, or exact object references for scan/review/anomaly/rule-check requests.\n- Colloquial accounting phrases like \"что висит\", \"что подозрительно\", \"что не сходится\", \"что криво\", \"что аукнется\" are executable if accounting area is understandable.\n\nFragment required fields:\n- fragment_id\n- raw_fragment_text\n- normalized_fragment_text\n- domain_relevance\n- business_scope\n- entity_hints\n- account_hints\n- document_hints\n- register_hints\n- time_scope\n- flags\n- candidate_labels\n- confidence\n- execution_readiness\n- clarification_reason\n- soft_assumption_used\n\nSoft assumptions (`soft_assumption_used`) allowed values:\n- period_from_session_context\n- company_scope_defaulted\n- problem_scan_mode_enabled\n\nGlobal notes:\n- global_notes.needs_clarification should be true only when execution is truly blocked.\n- global_notes.clarification_reason must explain the blocker.\n\nSchema version must be:\n- \"schema_version\": \"normalized_query_v2_0_1\"", "domainPrompt": "Контекст домена: бухгалтерия 1С/NDC.\n\nКлючевые счета:\n- 01, 02, 10, 41, 51, 60, 62, 68.02, 90, 97.\n\nТиповые сущности:\n- контрагент, договор, документ реализации, документ поступления, оплата, проводка, регистр, закрывающий документ.\n\nЛексика causal и сверки (сильные сигналы для cross_entity):\n- \"не бьется\", \"не сходится\", \"не видно\", \"не собралось\", \"повисло\", \"хвост\";\n- \"разложи по документам/оплатам/закрывающим\";\n- \"чем подтверждается\", \"где ошибка в цепочке\", \"что пошло криво\".\n\nЛексика точечного drilldown:\n- \"документ №...\", \"ref\", \"строка проводки\", \"покажи конкретную операцию\", \"точный source-of-record\".\n\nЛексика rule-based контроля:\n- \"проверь настройки\", \"ошибка срока/даты\", \"контроль 97/10/ОС\", \"нарушение правила учета\".\n\nЛексика обзорной аналитики:\n- \"рейтинг\", \"топ рисков\", \"в целом по компании\", \"перед закрытием периода\", \"приоритизация проверок\".\n\nВажное правило:\nЕсли в одном вопросе есть и риск-лексика, и цепочка document/payment/posting, не понижать задачу до чистого `store_feature_risk`.\nПриоритет у causal cross-entity семантики.", "fewShotExamples": "Q: По каким поставщикам висят хвосты по 60, что подозрительно по цепочке оплат?\nA: in_scope fragment, cross_entity/anomaly flags, execution_readiness=executable_with_soft_assumptions, soft_assumption_used includes problem_scan_mode_enabled.\n\nQ: Покажи записи по 97, которые повисли и могут аукнуться.\nA: in_scope fragment, rule/anomaly scan, execution_readiness=executable_with_soft_assumptions; no clarification required.\n\nQ: Чекни, что у нас не так.\nA: unclear fragment, execution_readiness=needs_clarification, clarification_reason explains missing accounting area/object.\n\nQ: Как вообще по ФСБУ правильно?\nA: out_of_scope fragment, business_scope=generic_accounting, execution_readiness=needs_clarification or out-of-scope handling.", "userQuestion": "Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже.", "context": { "eval_label": "eval-wO885tbCgd", "case_id": "BQ-009", "eval_mode": "single-pass-strict" }, "retryPolicy": "single-pass-strict", "useMock": false }, "raw_model_response": { "id": "resp_02d060c4970e51c10069c18a9dd3ec81a299d48190d5e2f132", "object": "response", "created_at": 1774291613, "status": "completed", "background": false, "billing": { "payer": "developer" }, "completed_at": 1774291622, "error": null, "frequency_penalty": 0, "incomplete_details": null, "instructions": null, "max_output_tokens": 900, "max_tool_calls": null, "model": "gpt-4o-mini-2024-07-18", "output": [ { "id": "msg_02d060c4970e51c10069c18a9e341881a2b9876292e58f3766", "type": "message", "status": "completed", "content": [ { "type": "output_text", "annotations": [], "logprobs": [], "text": "{\n \"schema_version\": \"normalized_query_v2_0_1\",\n \"user_message_raw\": \"Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже.\",\n \"message_in_scope\": true,\n \"scope_confidence\": \"high\",\n \"contains_multiple_tasks\": false,\n \"fragments\": [\n {\n \"fragment_id\": \"1\",\n \"raw_fragment_text\": \"Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже.\",\n \"normalized_fragment_text\": \"Показать объекты ОС с подозрительной логикой начисления.\",\n \"domain_relevance\": \"in_scope\",\n \"business_scope\": \"company_specific_accounting\",\n \"entity_hints\": [\"объект ОС\"],\n \"account_hints\": [\"01\", \"02\"],\n \"document_hints\": [],\n \"register_hints\": [],\n \"time_scope\": {\n \"type\": \"missing\",\n \"value\": null,\n \"confidence\": \"low\"\n },\n \"flags\": {\n \"has_multi_entity_scope\": false,\n \"asks_for_chain_explanation\": true,\n \"asks_for_ranking_or_top\": false,\n \"asks_for_period_summary\": false,\n \"asks_for_rule_check\": false,\n \"asks_for_anomaly_scan\": true,\n \"asks_for_exact_object_trace\": false,\n \"asks_for_evidence\": false,\n \"mentions_period_close_context\": false\n },\n \"candidate_labels\": [\"anomaly_probe\", \"cross_entity\"],\n \"confidence\": \"high\",\n \"execution_readiness\": \"executable_with_soft_assumptions\",\n \"clarification_reason\": null,\n \"soft_assumption_used\": []\n }\n ],\n \"discarded_fragments\": [],\n \"global_notes\": {\n \"needs_clarification\": false,\n \"clarification_reason\": null\n }\n}" } ], "role": "assistant" } ], "parallel_tool_calls": true, "presence_penalty": 0, "previous_response_id": null, "prompt_cache_key": null, "prompt_cache_retention": null, "reasoning": { "effort": null, "summary": null }, "safety_identifier": null, "service_tier": "default", "store": true, "temperature": 0, "text": { "format": { "type": "json_schema", "description": null, "name": "normalized_query_v2_0_1", "schema": { "$id": "normalized_query_v2_0_1", "title": "Normalized Query V2.0.1", "type": "object", "additionalProperties": false, "required": [ "schema_version", "user_message_raw", "message_in_scope", "scope_confidence", "contains_multiple_tasks", "fragments", "discarded_fragments", "global_notes" ], "properties": { "schema_version": { "type": "string", "const": "normalized_query_v2_0_1" }, "user_message_raw": { "type": "string", "minLength": 1 }, "message_in_scope": { "type": "boolean" }, "scope_confidence": { "type": "string", "enum": [ "high", "medium", "low" ] }, "contains_multiple_tasks": { "type": "boolean" }, "fragments": { "type": "array", "items": { "type": "object", "additionalProperties": false, "required": [ "fragment_id", "raw_fragment_text", "normalized_fragment_text", "domain_relevance", "business_scope", "entity_hints", "account_hints", "document_hints", "register_hints", "time_scope", "flags", "candidate_labels", "confidence", "execution_readiness", "clarification_reason", "soft_assumption_used" ], "properties": { "fragment_id": { "type": "string", "minLength": 1 }, "raw_fragment_text": { "type": "string", "minLength": 1 }, "normalized_fragment_text": { "type": "string", "minLength": 1 }, "domain_relevance": { "type": "string", "enum": [ "in_scope", "out_of_scope", "unclear" ] }, "business_scope": { "type": "string", "enum": [ "company_specific_accounting", "generic_accounting", "offtopic", "unclear" ] }, "entity_hints": { "type": "array", "items": { "type": "string" } }, "account_hints": { "type": "array", "items": { "type": "string" } }, "document_hints": { "type": "array", "items": { "type": "string" } }, "register_hints": { "type": "array", "items": { "type": "string" } }, "time_scope": { "type": "object", "additionalProperties": false, "required": [ "type", "value", "confidence" ], "properties": { "type": { "type": "string", "enum": [ "explicit", "inferred", "missing" ] }, "value": { "type": [ "string", "null" ] }, "confidence": { "type": "string", "enum": [ "high", "medium", "low" ] } } }, "flags": { "type": "object", "additionalProperties": false, "required": [ "has_multi_entity_scope", "asks_for_chain_explanation", "asks_for_ranking_or_top", "asks_for_period_summary", "asks_for_rule_check", "asks_for_anomaly_scan", "asks_for_exact_object_trace", "asks_for_evidence", "mentions_period_close_context" ], "properties": { "has_multi_entity_scope": { "type": "boolean" }, "asks_for_chain_explanation": { "type": "boolean" }, "asks_for_ranking_or_top": { "type": "boolean" }, "asks_for_period_summary": { "type": "boolean" }, "asks_for_rule_check": { "type": "boolean" }, "asks_for_anomaly_scan": { "type": "boolean" }, "asks_for_exact_object_trace": { "type": "boolean" }, "asks_for_evidence": { "type": "boolean" }, "mentions_period_close_context": { "type": "boolean" } } }, "candidate_labels": { "type": "array", "items": { "type": "string", "enum": [ "heavy_analytical", "cross_entity", "drilldown_explain", "rule_based_account_control", "anomaly_probe", "period_close_risk", "ambiguous_human_query", "simple_factual" ] } }, "confidence": { "type": "string", "enum": [ "high", "medium", "low" ] }, "execution_readiness": { "type": "string", "enum": [ "executable", "executable_with_soft_assumptions", "needs_clarification" ] }, "clarification_reason": { "type": [ "string", "null" ] }, "soft_assumption_used": { "type": "array", "items": { "type": "string", "enum": [ "period_from_session_context", "company_scope_defaulted", "problem_scan_mode_enabled" ] } } } } }, "discarded_fragments": { "type": "array", "items": { "type": "object", "additionalProperties": false, "required": [ "raw_fragment_text", "reason" ], "properties": { "raw_fragment_text": { "type": "string", "minLength": 1 }, "reason": { "type": "string", "minLength": 1 } } } }, "global_notes": { "type": "object", "additionalProperties": false, "required": [ "needs_clarification", "clarification_reason" ], "properties": { "needs_clarification": { "type": "boolean" }, "clarification_reason": { "type": [ "string", "null" ] } } } } }, "strict": true }, "verbosity": "medium" }, "tool_choice": "auto", "tools": [], "top_logprobs": 0, "top_p": 1, "truncation": "disabled", "usage": { "input_tokens": 1818, "input_tokens_details": { "cached_tokens": 0 }, "output_tokens": 440, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 2258 }, "user": null, "metadata": {} }, "parsed_normalized_json": { "schema_version": "normalized_query_v2_0_1", "user_message_raw": "Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже.", "message_in_scope": true, "scope_confidence": "high", "contains_multiple_tasks": false, "fragments": [ { "fragment_id": "1", "raw_fragment_text": "Покажи объекты ОС, где риск не в сумме, а в том, что карточка и логика начисления выглядят подозрительно и могут аукнуться позже.", "normalized_fragment_text": "Показать объекты ОС с подозрительной логикой начисления.", "domain_relevance": "in_scope", "business_scope": "company_specific_accounting", "entity_hints": [ "объект ОС" ], "account_hints": [ "01", "02" ], "document_hints": [], "register_hints": [], "time_scope": { "type": "missing", "value": null, "confidence": "low" }, "flags": { "has_multi_entity_scope": false, "asks_for_chain_explanation": true, "asks_for_ranking_or_top": false, "asks_for_period_summary": false, "asks_for_rule_check": false, "asks_for_anomaly_scan": true, "asks_for_exact_object_trace": false, "asks_for_evidence": false, "mentions_period_close_context": false }, "candidate_labels": [ "anomaly_probe", "cross_entity" ], "confidence": "high", "execution_readiness": "executable_with_soft_assumptions", "clarification_reason": null, "soft_assumption_used": [ "problem_scan_mode_enabled" ] } ], "discarded_fragments": [], "global_notes": { "needs_clarification": false, "clarification_reason": null } }, "validation_result": { "passed": true, "errors": [] }, "route_hint_summary": { "mode": "deterministic_v2", "message_in_scope": true, "scope_confidence": "high", "planner": { "total_fragments": 1, "in_scope_fragments": 1, "out_of_scope_fragments": 0, "discarded_fragments": 0, "contains_multiple_tasks": false }, "decisions": [ { "fragment_id": "1", "domain_relevance": "in_scope", "business_scope": "company_specific_accounting", "candidate_labels": [ "anomaly_probe", "cross_entity" ], "decision_flags": { "has_multi_entity_scope": false, "asks_for_chain_explanation": true, "asks_for_ranking_or_top": false, "asks_for_period_summary": false, "asks_for_rule_check": false, "asks_for_anomaly_scan": true, "asks_for_exact_object_trace": false, "asks_for_evidence": false, "mentions_period_close_context": false }, "execution_readiness": "executable_with_soft_assumptions", "clarification_reason": null, "soft_assumption_used": [ "problem_scan_mode_enabled" ], "route": "store_feature_risk", "reason": "Anomaly scan without heavy ranking or causal chain." } ], "fallback": { "type": "none", "message": null } }, "route_hint": "store_feature_risk", "confidence": "high", "usage": { "input_tokens": 1818, "output_tokens": 440, "total_tokens": 2258 }, "latency_ms": 8669, "eval_label": "eval-wO885tbCgd", "eval_mode": "single-pass-strict", "request_count_for_case": 1 }