{ "trace_id": "8_BzV102qV2iTO", "timestamp": "2026-03-23T18:06:44.234Z", "model": "gpt-4o-mini", "prompt_version": "normalizer_v2", "schema_version": "v2", "case_id": "BQ-001", "user_question_raw": "Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?", "context": { "period_hint": null, "business_context": null, "expected_route": null, "case_id": "BQ-001", "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", "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 a decomposition-first semantic parser for accounting assistant NDC.\nReturn JSON only, strictly matching `normalized_query_v2`.\nDo not answer the accounting question itself.\n\nCore workflow:\n1) Detect if the user message is in company-specific accounting scope.\n2) Split message into meaningful task fragments.\n3) Discard obvious noise fragments.\n4) For each kept fragment, output semantic hints + flags + candidate_labels.\n5) Keep routing as indirect signals only (flags + labels). Final route is chosen by deterministic code.\n\nDomain gating policy:\n- `in_scope` only for requests about current company data and accounting ontology (documents, postings, balances, settlements, period close risks, anomalies, controls).\n- `out_of_scope` for generic accounting theory, legal questions, standards/laws, unrelated business or casual/offtopic chat.\n- `unclear` when intent may be accounting-related but insufficiently grounded in company context.\n\nbusiness_scope mapping:\n- `company_specific_accounting` for in-scope enterprise-data tasks.\n- `generic_accounting` for abstract accounting questions not tied to this company data.\n- `offtopic` for non-accounting content.\n- `unclear` when not enough signal.\n\nFragment policy:\n- Keep user wording in `raw_fragment_text`.\n- Make `normalized_fragment_text` concise and business-readable.\n- Populate `entity_hints/account_hints/document_hints/register_hints` only from message evidence.\n- `candidate_labels` can contain multiple labels. Do not force a single mandatory intent.\n- `fragment_id` must be stable and sequential: F1, F2, F3...\n\nFlag policy:\n- has_multi_entity_scope: requires linking multiple accounting entities/documents/payments/postings.\n- asks_for_chain_explanation: asks to explain “why”, “where chain breaks”, or causal reconstruction.\n- asks_for_ranking_or_top: asks top/ranking/prioritized ordering.\n- asks_for_period_summary: asks broad period/company summary or slice.\n- asks_for_rule_check: asks control/rule compliance checks.\n- asks_for_anomaly_scan: asks suspicious zones/anomaly search.\n- asks_for_exact_object_trace: asks exact object trace (document number/ref/line).\n- asks_for_evidence: asks documentary/proof evidence.\n- mentions_period_close_context: explicit pre-close/close/reporting deadline context.\n\nDiscard policy:\n- Put chatter/noise/meta filler into `discarded_fragments` with reason.\n- Do not discard valid accounting tasks, even if wording is slang-like.\n\nConfidence policy:\n- high only for clear, explicit fragment semantics.\n- medium for normal ambiguity.\n- low for unclear or weakly grounded fragments.\n- scope_confidence reflects whole-message domain certainty.\n\nglobal_notes policy:\n- needs_clarification=true when period/object/scope is missing for reliable execution.\n- clarification_reason should be concrete and short.\n\nStrictness:\n- Output only valid JSON object matching `normalized_query_v2`.\n- No markdown, no prose, no extra fields.", "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:\nПо поставщикам на конец месяца где хвосты по взаиморасчетам, разложи где рвется цепочка документов и оплат.\n\nExpected (fragment-level shape):\n{\n \"message_in_scope\": true,\n \"contains_multiple_tasks\": false,\n \"fragments\": [\n {\n \"fragment_id\": \"F1\",\n \"domain_relevance\": \"in_scope\",\n \"business_scope\": \"company_specific_accounting\",\n \"account_hints\": [\"60\"],\n \"flags\": {\n \"has_multi_entity_scope\": true,\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\": true,\n \"mentions_period_close_context\": true\n },\n \"candidate_labels\": [\"cross_entity\", \"anomaly_probe\"]\n }\n ]\n}\n\nQ:\nСкажи как вообще по ФСБУ правильно закрывать 97 счет, и еще проверь у нас по июню подозрительные РБП.\n\nExpected (fragment-level shape):\n{\n \"message_in_scope\": true,\n \"contains_multiple_tasks\": true,\n \"fragments\": [\n {\n \"fragment_id\": \"F1\",\n \"domain_relevance\": \"out_of_scope\",\n \"business_scope\": \"generic_accounting\",\n \"flags\": {\n \"asks_for_rule_check\": true,\n \"asks_for_anomaly_scan\": false\n },\n \"candidate_labels\": []\n },\n {\n \"fragment_id\": \"F2\",\n \"domain_relevance\": \"in_scope\",\n \"business_scope\": \"company_specific_accounting\",\n \"account_hints\": [\"97\"],\n \"flags\": {\n \"asks_for_rule_check\": true,\n \"asks_for_anomaly_scan\": true,\n \"asks_for_period_summary\": false\n },\n \"candidate_labels\": [\"rule_based_account_control\", \"anomaly_probe\"]\n }\n ],\n \"global_notes\": {\n \"needs_clarification\": false\n }\n}\n\nQ:\nДокумент TRX-88 покажи и связанную строку проводки, а еще где по банку повторяется паттерн подозрительных хвостов.\n\nExpected (fragment-level shape):\n{\n \"message_in_scope\": true,\n \"contains_multiple_tasks\": true,\n \"fragments\": [\n {\n \"fragment_id\": \"F1\",\n \"domain_relevance\": \"in_scope\",\n \"business_scope\": \"company_specific_accounting\",\n \"flags\": {\n \"asks_for_exact_object_trace\": true,\n \"asks_for_evidence\": true,\n \"has_multi_entity_scope\": false\n },\n \"candidate_labels\": [\"drilldown_explain\"]\n },\n {\n \"fragment_id\": \"F2\",\n \"domain_relevance\": \"in_scope\",\n \"business_scope\": \"company_specific_accounting\",\n \"flags\": {\n \"asks_for_anomaly_scan\": true,\n \"asks_for_ranking_or_top\": true,\n \"asks_for_period_summary\": true\n },\n \"candidate_labels\": [\"heavy_analytical\", \"anomaly_probe\"]\n }\n ]\n}", "userQuestion": "Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?", "context": { "eval_label": "eval-aOEoelkQb2", "case_id": "BQ-001", "eval_mode": "single-pass-strict" }, "retryPolicy": "single-pass-strict", "useMock": false }, "raw_model_response": { "id": "resp_0412c9d2f11711b60069c1811a1eb481a0a296bde3f9241f19", "object": "response", "created_at": 1774289178, "status": "completed", "background": false, "billing": { "payer": "developer" }, "completed_at": 1774289204, "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_0412c9d2f11711b60069c1811b2fec81a09cf7f09b85d1f3a2", "type": "message", "status": "completed", "content": [ { "type": "output_text", "annotations": [], "logprobs": [], "text": "{\n \"schema_version\": \"normalized_query_v2\",\n \"user_message_raw\": \"Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?\",\n \"message_in_scope\": true,\n \"scope_confidence\": \"high\",\n \"contains_multiple_tasks\": false,\n \"fragments\": [\n {\n \"fragment_id\": \"F1\",\n \"raw_fragment_text\": \"Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?\",\n \"normalized_fragment_text\": \"Проверка зависших реализаций на конец периода.\",\n \"domain_relevance\": \"in_scope\",\n \"business_scope\": \"company_specific_accounting\",\n \"entity_hints\": [],\n \"account_hints\": [],\n \"document_hints\": [],\n \"register_hints\": [],\n \"time_scope\": {\n \"type\": \"explicit\",\n \"value\": \"конец периода\",\n \"confidence\": \"high\"\n },\n \"flags\": {\n \"has_multi_entity_scope\": true,\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\": true\n },\n \"candidate_labels\": [\"anomaly_probe\", \"cross_entity\"]\n \n \t\t, \"confidence\": \"high\"\n }\n ],\n \"discarded_fragments\": [],\n \"global_notes\": {\n \"needs_clarification\": false\n \n \t, \"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", "schema": { "$id": "normalized_query_v2", "title": "Normalized Query V2", "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" }, "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" ], "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" ] } } } }, "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": 2422, "input_tokens_details": { "cached_tokens": 0 }, "output_tokens": 391, "output_tokens_details": { "reasoning_tokens": 0 }, "total_tokens": 2813 }, "user": null, "metadata": {} }, "parsed_normalized_json": { "schema_version": "normalized_query_v2", "user_message_raw": "Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?", "message_in_scope": true, "scope_confidence": "high", "contains_multiple_tasks": false, "fragments": [ { "fragment_id": "F1", "raw_fragment_text": "Какие реализации на конец периода выглядят так, будто они зависли и будут портить картину по выручке, если их не проверить заранее?", "normalized_fragment_text": "Проверка зависших реализаций на конец периода.", "domain_relevance": "in_scope", "business_scope": "company_specific_accounting", "entity_hints": [], "account_hints": [], "document_hints": [], "register_hints": [], "time_scope": { "type": "explicit", "value": "конец периода", "confidence": "high" }, "flags": { "has_multi_entity_scope": true, "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": true }, "candidate_labels": [ "anomaly_probe", "cross_entity" ], "confidence": "high" } ], "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": "F1", "domain_relevance": "in_scope", "business_scope": "company_specific_accounting", "candidate_labels": [ "anomaly_probe", "cross_entity" ], "decision_flags": { "has_multi_entity_scope": true, "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": true }, "route": "hybrid_store_plus_live", "reason": "Multi-entity causal chain requested." } ], "fallback": { "type": "none", "message": null } }, "route_hint": "hybrid_store_plus_live", "confidence": "high", "usage": { "input_tokens": 2422, "output_tokens": 391, "total_tokens": 2813 }, "latency_ms": 28329, "eval_label": "eval-aOEoelkQb2", "eval_mode": "single-pass-strict", "request_count_for_case": 1 }