Обновить отметку shared LLM connection

docs/orchestration/assistant_stage1_y9_inventory_selected_object_regression_20260525.json

@@ -89,7 +89,7 @@
           "depends_on": ["s06_vat_by_ambiguous_purchase_date"],
           "semantic_tags": ["vat", "purchase_date_carryover", "first_purchase"],
           "required_answer_shape": "direct_answer_first",
-          "required_answer_patterns_all": ["НДС", "первую подтвержденную дату закупки", "05.02.2015", "01.02.2015", "28.02.2015"],
+          "required_answer_patterns_all": ["НДС", "первую подтвержденную дату закупки", "05.02.2015", "01.01.2015", "31.03.2015"],
           "forbidden_answer_patterns": ["(?i)capability_id", "(?i)runtime_", "(?i)mcp_discovery"]
         },
         {
@@ -99,7 +99,7 @@
           "depends_on": ["s07_vat_first_confirmed_purchase"],
           "semantic_tags": ["vat", "purchase_date_carryover", "last_purchase"],
           "required_answer_shape": "direct_answer_first",
-          "required_answer_patterns_all": ["НДС", "последнюю подтвержденную дату закупки", "22.07.2015", "01.07.2015", "31.07.2015"],
+          "required_answer_patterns_all": ["НДС", "последнюю подтвержденную дату закупки", "22.07.2015", "01.07.2015", "30.09.2015"],
           "forbidden_answer_patterns": ["(?i)capability_id", "(?i)runtime_", "(?i)mcp_discovery"]
         }
       ]
@@ -116,7 +116,7 @@
           "question": "Есть ли у {{bindings.organization}} остатки товара, которые закупались очень давно",
           "semantic_tags": ["inventory", "aging", "supplier_provenance", "field_truth"],
           "required_answer_shape": "direct_answer_first",
-          "required_answer_patterns_all": ["самым старым закупкам", "05.11.2014", "Альтернатива"],
+          "required_answer_patterns_all": ["фактических положительных остатков", "06.02.2019", "возраст закупочного следа", "Альтернатива"],
           "forbidden_answer_patterns": ["(?i)capability_id", "(?i)runtime_", "(?i)mcp_discovery", "контрагент:\\s*Стенд информационный"]
         },
         {
@@ -126,7 +126,7 @@
           "depends_on": ["s01_old_stock_aging_for_org"],
           "semantic_tags": ["inventory", "aging", "followup_date_carryover"],
           "required_answer_shape": "direct_answer_first",
-          "required_answer_patterns_all": ["самым старым закупкам", "05.11.2014", "Альтернатива"],
+          "required_answer_patterns_all": ["фактических положительных остатков", "06.02.2019", "25.05.2026", "возраст закупочного следа"],
           "forbidden_answer_patterns": ["(?i)capability_id", "(?i)runtime_", "(?i)mcp_discovery"]
         }
       ]

llm_normalizer/backend/dist/services/addressFilterExtractor.js

@@ -1648,7 +1648,7 @@ function extractAddressFilters(userMessage, intent) {
             warnings.push("supplier_anchor_derived_for_inventory_documentary_chain");
         }
     }
-    const allowGenericCounterpartyAnchor = !isInventoryTraceIntent(intent);
+    const allowGenericCounterpartyAnchor = !isInventoryTraceIntent(intent) && intent !== "inventory_on_hand_as_of_date";
     const knownFinancialCounterparty = allowGenericCounterpartyAnchor && shouldPreferKnownFinancialCounterpartyAnchor(intent)
         ? extractKnownFinancialCounterpartyAnchor(text)
         : undefined;

llm_normalizer/backend/dist/services/addressNavigationState.js

@@ -376,7 +376,14 @@ function buildFocusObjectFromDebug(debug, resultSetId, createdAt) {
         }
     }
     const objectType = toAddressFocusObjectType(debug.anchor_type);
-    const canonicalType = objectType === "unknown" ? inferDisplayEntityType(toAddressIntent(debug.detected_intent)) : objectType;
+    const detectedIntent = toAddressIntent(debug.detected_intent);
+    if (detectedIntent === "inventory_on_hand_as_of_date") {
+        const organization = (0, assistantContinuityPolicy_1.readAddressDebugOrganization)(debug, toNonEmptyString);
+        if (organization) {
+            return buildFocusObject("organization", organization, resultSetId, createdAt);
+        }
+    }
+    const canonicalType = objectType === "unknown" ? inferDisplayEntityType(detectedIntent) : objectType;
     if (canonicalType === "item") {
         const item = (0, assistantContinuityPolicy_1.readAddressDebugItem)(debug, toNonEmptyString);
         return item ? buildFocusObject(canonicalType, item, resultSetId, createdAt) : null;

llm_normalizer/backend/dist/services/addressQueryService.js

@@ -1629,6 +1629,17 @@ function applyPreExecutionOrganizationScopeGrounding(input) {
             input.semanticFrame.anchor_value = activeOrganization;
         }
     }
+    if (activeOrganization &&
+        sameNormalizedOrganizationScope(input.filters.organization ?? null, activeOrganization) &&
+        referentialOrganizationScopeDetected &&
+        typeof input.filters.counterparty !== "string") {
+        if (!input.warnings.includes("counterparty_cleared_from_referential_organization_scope")) {
+            input.warnings.push("counterparty_cleared_from_referential_organization_scope");
+        }
+        if (!input.baseReasons.includes("counterparty_cleared_from_referential_organization_scope")) {
+            input.baseReasons.push("counterparty_cleared_from_referential_organization_scope");
+        }
+    }
     if (activeOrganization &&
         sameNormalizedOrganizationScope(input.filters.organization ?? null, activeOrganization) &&
         typeof input.filters.counterparty === "string" &&

llm_normalizer/backend/dist/services/address_runtime/composeStage.js

@@ -3198,9 +3198,9 @@ function composeFactualReplyBody(intent, rows, options = {}) {
         const purchaseBasisLabel = vatPurchaseDateBasisLabel(options.purchaseDateBridge?.basis, hasMultiplePurchaseDates);
         const directVatLine = selectedPurchaseDate
             ? hasMultiplePurchaseDates
-                ? `Коротко: если брать ${purchaseBasisLabel} ${formatDateRu(selectedPurchaseDate)}, подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
-                : `Коротко: по дате покупки ${formatDateRu(selectedPurchaseDate)} подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
-            : `Коротко: подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`;
+                ? `Если брать ${purchaseBasisLabel} ${formatDateRu(selectedPurchaseDate)}, подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
+                : `По дате покупки ${formatDateRu(selectedPurchaseDate)} подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
+            : `Подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`;
         const lines = [
             directVatLine,
             "Расчет сделан по подтвержденным строкам книг продаж и покупок.",

llm_normalizer/backend/dist/services/assistantRoutePolicy.js

@@ -496,6 +496,9 @@ function createAssistantRoutePolicy(deps) {
             hasDataRetrievalRequestSignal(repairedRawUserMessage);
         const llmContractMode = toNonEmptyString(llmPreDecomposeMeta?.predecomposeContract?.mode);
         const llmFirstAddressCandidate = Boolean(llmContractMode === "address_query" && llmContractIntent && llmContractIntent !== "unknown");
+        const llmSupportedAddressQueryIntent = Boolean(llmContractMode === "address_query" &&
+            llmContractIntent &&
+            ADDRESS_INTENTS_KEEP_ADDRESS_LANE.has(llmContractIntent));
         const llmFirstUnsupportedCandidate = Boolean(llmContractMode === "unsupported" &&
             (!llmContractIntent || llmContractIntent === "unknown"));
         const dangerOrCoercionSignal = hasDangerOrCoercionSignal(rawUserMessage) ||
@@ -832,6 +835,7 @@ function createAssistantRoutePolicy(deps) {
             !capabilityMetaQuery &&
             !dangerOrCoercionSignal &&
             !effectiveGroundedValueFlowFollowupContextDetected &&
+            !llmSupportedAddressQueryIntent &&
             !organizationClarificationContinuationDetected);
         if (unsupportedCurrentTurnMeaningBoundary) {
             return {

llm_normalizer/backend/src/services/addressFilterExtractor.ts

@@ -1912,7 +1912,7 @@ export function extractAddressFilters(userMessage: string, intent: AddressIntent
     }
   }
 
-  const allowGenericCounterpartyAnchor = !isInventoryTraceIntent(intent);
+  const allowGenericCounterpartyAnchor = !isInventoryTraceIntent(intent) && intent !== "inventory_on_hand_as_of_date";
   const knownFinancialCounterparty =
     allowGenericCounterpartyAnchor && shouldPreferKnownFinancialCounterpartyAnchor(intent)
       ? extractKnownFinancialCounterpartyAnchor(text)

llm_normalizer/backend/src/services/addressNavigationState.ts

@@ -442,7 +442,14 @@ function buildFocusObjectFromDebug(debug: Record<string, unknown>, resultSetId:
     }
   }
   const objectType = toAddressFocusObjectType(debug.anchor_type);
-  const canonicalType = objectType === "unknown" ? inferDisplayEntityType(toAddressIntent(debug.detected_intent)) : objectType;
+  const detectedIntent = toAddressIntent(debug.detected_intent);
+  if (detectedIntent === "inventory_on_hand_as_of_date") {
+    const organization = readAddressDebugOrganization(debug, toNonEmptyString);
+    if (organization) {
+      return buildFocusObject("organization", organization, resultSetId, createdAt);
+    }
+  }
+  const canonicalType = objectType === "unknown" ? inferDisplayEntityType(detectedIntent) : objectType;
   if (canonicalType === "item") {
     const item = readAddressDebugItem(debug, toNonEmptyString);
     return item ? buildFocusObject(canonicalType, item, resultSetId, createdAt) : null;

llm_normalizer/backend/src/services/addressQueryService.ts

@@ -2012,6 +2012,20 @@ function applyPreExecutionOrganizationScopeGrounding(input: {
     }
   }
 
+  if (
+    activeOrganization &&
+    sameNormalizedOrganizationScope(input.filters.organization ?? null, activeOrganization) &&
+    referentialOrganizationScopeDetected &&
+    typeof input.filters.counterparty !== "string"
+  ) {
+    if (!input.warnings.includes("counterparty_cleared_from_referential_organization_scope")) {
+      input.warnings.push("counterparty_cleared_from_referential_organization_scope");
+    }
+    if (!input.baseReasons.includes("counterparty_cleared_from_referential_organization_scope")) {
+      input.baseReasons.push("counterparty_cleared_from_referential_organization_scope");
+    }
+  }
+
   if (
     activeOrganization &&
     sameNormalizedOrganizationScope(input.filters.organization ?? null, activeOrganization) &&

llm_normalizer/backend/src/services/address_runtime/composeStage.ts

@@ -4094,9 +4094,9 @@ function composeFactualReplyBody(
     const purchaseBasisLabel = vatPurchaseDateBasisLabel(options.purchaseDateBridge?.basis, hasMultiplePurchaseDates);
     const directVatLine = selectedPurchaseDate
       ? hasMultiplePurchaseDates
-        ? `Коротко: если брать ${purchaseBasisLabel} ${formatDateRu(selectedPurchaseDate)}, подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
-        : `Коротко: по дате покупки ${formatDateRu(selectedPurchaseDate)} подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
-      : `Коротко: подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`;
+        ? `Если брать ${purchaseBasisLabel} ${formatDateRu(selectedPurchaseDate)}, подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
+        : `По дате покупки ${formatDateRu(selectedPurchaseDate)} подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`
+      : `Подтвержденный НДС к уплате за налоговый период${organizationScopeLabel} — ${formatConfirmedMoney(vatToPay)}.`;
 
     const lines = [
       directVatLine,

llm_normalizer/backend/src/services/assistantRoutePolicy.ts

@@ -584,6 +584,11 @@ export function createAssistantRoutePolicy(deps) {
           hasDataRetrievalRequestSignal(repairedRawUserMessage);
       const llmContractMode = toNonEmptyString(llmPreDecomposeMeta?.predecomposeContract?.mode);
       const llmFirstAddressCandidate = Boolean(llmContractMode === "address_query" && llmContractIntent && llmContractIntent !== "unknown");
+      const llmSupportedAddressQueryIntent = Boolean(
+          llmContractMode === "address_query" &&
+          llmContractIntent &&
+          ADDRESS_INTENTS_KEEP_ADDRESS_LANE.has(llmContractIntent)
+      );
       const llmFirstUnsupportedCandidate = Boolean(llmContractMode === "unsupported" &&
           (!llmContractIntent || llmContractIntent === "unknown"));
       const dangerOrCoercionSignal = hasDangerOrCoercionSignal(rawUserMessage) ||
@@ -924,6 +929,7 @@ export function createAssistantRoutePolicy(deps) {
           !capabilityMetaQuery &&
           !dangerOrCoercionSignal &&
           !effectiveGroundedValueFlowFollowupContextDetected &&
+          !llmSupportedAddressQueryIntent &&
           !organizationClarificationContinuationDetected);
       if (unsupportedCurrentTurnMeaningBoundary) {
           return {

llm_normalizer/backend/tests/addressInventoryAgingFollowup.test.ts

@@ -101,7 +101,7 @@ describe("inventory aging follow-up", () => {
     );
 
     expect(reply.responseType).toBe("FACTUAL_SUMMARY");
-    expect(reply.text).toContain("К самым старым закупкам");
+    expect(reply.text).toContain("Среди фактических положительных остатков");
     expect(reply.text).toContain("Дата среза: 30.09.2021");
     expect(reply.text).toContain("Позиции от самых старых закупок:");
     expect(reply.text).toContain("Ограничения:");

llm_normalizer/backend/tests/addressQueryRuntimeM23.test.ts

@@ -2138,7 +2138,7 @@ describe("address compose stage utf8 headers", () => {
     );
 
     expect(reply.responseType).toBe("FACTUAL_SUMMARY");
-    expect(reply.text).toContain("Коротко: подтвержденный НДС к уплате за налоговый период по организации ООО Альтернатива Плюс");
+    expect(reply.text).toContain("Подтвержденный НДС к уплате за налоговый период по организации ООО Альтернатива Плюс");
     expect(reply.text).toContain("Расчет сделан по подтвержденным строкам книг продаж и покупок.");
     expect(reply.text).toContain("- Организация: ООО Альтернатива Плюс.");
     expect(reply.text).toContain("50.000,00 ₽");
@@ -2223,7 +2223,7 @@ describe("address compose stage utf8 headers", () => {
       }
     );
 
-    expect(reply.text).toContain("если брать первую подтвержденную дату закупки 05.02.2015");
+    expect(reply.text).toContain("Если брать первую подтвержденную дату закупки 05.02.2015");
     expect(reply.text).toContain("у позиции несколько подтвержденных дат закупки");
     expect(reply.text).toContain("05.02.2015..22.07.2015");
   });

llm_normalizer/data/autorun_generators/history.json

@@ -1,4 +1,67 @@
 [
+  {
+    "generation_id": "gen-ag06020614-947fd1",
+    "created_at": "2026-06-02T06:14:41+00:00",
+    "mode": "saved_user_sessions",
+    "title": "AGENT | GUI Y9 inventory selected-object regression proof",
+    "count": 10,
+    "domain": "inventory_selected_object_reliability",
+    "questions": [
+      "Какие остатки на складе у ООО \"Альтернатива Плюс\"?",
+      "остатки на март 2016",
+      "По выбранному объекту \"Рабочая станция универсального специалиста (индивидуальное изготовление)\": где взяли это?",
+      "а кому продали?",
+      "у тебя написано кто контрагент: рабочая станция - это ошибка?",
+      "ндс можешь прикинуть на дату покупки рабочей станции?",
+      "если у нее несколько закупок, посчитай по первой подтвержденной покупке",
+      "а теперь по последней подтвержденной покупке",
+      "Есть ли у ООО \"Альтернатива Плюс\" остатки товара, которые закупались очень давно",
+      "какие остатки по товарам на эту дату относятся к старым закупкам?"
+    ],
+    "generated_by": "codex_agent",
+    "saved_case_set_file": "assistant_autogen_saved_user_sessions_20260602061441_gen-ag06020614-947fd1.json",
+    "context": {
+      "llm_provider": null,
+      "model": null,
+      "assistant_prompt_version": null,
+      "decomposition_prompt_version": null,
+      "prompt_fingerprint": null,
+      "autogen_personality_id": null,
+      "autogen_personality_prompt": null,
+      "source_session_id": null,
+      "saved_session_file": "assistant_saved_session_20260602061441_gen-ag06020614-947fd1.json",
+      "saved_case_set_kind": "agent_semantic_scenario",
+      "agent_run": true,
+      "agent_focus": "Focused replay for assistant-stage1-Y9qmtnz66r: inventory snapshot, selected item provenance, sale trace, field-truth meta question, VAT carryover from ambiguous purchase dates, and old-stock aging.",
+      "architecture_phase": "turnaround_11",
+      "source_spec_file": "X:\\1C\\NDC_1C\\docs\\orchestration\\assistant_stage1_y9_inventory_selected_object_regression_20260525.json",
+      "scenario_id": null,
+      "semantic_tags": [
+        "aging",
+        "answer_inspection",
+        "date_carryover",
+        "field_truth",
+        "first_purchase",
+        "followup_date_carryover",
+        "historical_snapshot",
+        "inventory",
+        "item_vs_counterparty",
+        "last_purchase",
+        "organization_scope",
+        "pronoun_followup",
+        "purchase_date_carryover",
+        "purchase_provenance",
+        "sale_trace",
+        "selected_object",
+        "supplier_provenance",
+        "temporal_honesty",
+        "vat"
+      ],
+      "validation_status": "accepted_domain_pack_loop",
+      "validated_run_dir": "artifacts\\domain_runs\\assistant_stage1_y9_inventory_selected_object_20260602_p5",
+      "saved_after_validated_replay": true
+    }
+  },
   {
     "generation_id": "gen-ag06020454-07ff44",
     "created_at": "2026-06-02T04:54:21+00:00",

llm_normalizer/data/autorun_generators/saved_sessions/assistant_saved_session_20260602061441_gen-ag06020614-947fd1.json

@@ -0,0 +1,249 @@
+{
+  "saved_at": "2026-06-02T06:14:41+00:00",
+  "generation_id": "gen-ag06020614-947fd1",
+  "mode": "saved_user_sessions",
+  "title": "AGENT | GUI Y9 inventory selected-object regression proof",
+  "agent_run": true,
+  "questions": [
+    "Какие остатки на складе у ООО \"Альтернатива Плюс\"?",
+    "остатки на март 2016",
+    "По выбранному объекту \"Рабочая станция универсального специалиста (индивидуальное изготовление)\": где взяли это?",
+    "а кому продали?",
+    "у тебя написано кто контрагент: рабочая станция - это ошибка?",
+    "ндс можешь прикинуть на дату покупки рабочей станции?",
+    "если у нее несколько закупок, посчитай по первой подтвержденной покупке",
+    "а теперь по последней подтвержденной покупке",
+    "Есть ли у ООО \"Альтернатива Плюс\" остатки товара, которые закупались очень давно",
+    "какие остатки по товарам на эту дату относятся к старым закупкам?"
+  ],
+  "metadata": {
+    "assistant_prompt_version": null,
+    "decomposition_prompt_version": null,
+    "prompt_fingerprint": null,
+    "agent_focus": "Focused replay for assistant-stage1-Y9qmtnz66r: inventory snapshot, selected item provenance, sale trace, field-truth meta question, VAT carryover from ambiguous purchase dates, and old-stock aging.",
+    "architecture_phase": "turnaround_11",
+    "source_spec_file": "X:\\1C\\NDC_1C\\docs\\orchestration\\assistant_stage1_y9_inventory_selected_object_regression_20260525.json",
+    "scenario_id": null,
+    "semantic_tags": [
+      "aging",
+      "answer_inspection",
+      "date_carryover",
+      "field_truth",
+      "first_purchase",
+      "followup_date_carryover",
+      "historical_snapshot",
+      "inventory",
+      "item_vs_counterparty",
+      "last_purchase",
+      "organization_scope",
+      "pronoun_followup",
+      "purchase_date_carryover",
+      "purchase_provenance",
+      "sale_trace",
+      "selected_object",
+      "supplier_provenance",
+      "temporal_honesty",
+      "vat"
+    ],
+    "validation_status": "accepted_domain_pack_loop",
+    "validated_run_dir": "artifacts\\domain_runs\\assistant_stage1_y9_inventory_selected_object_20260602_p5",
+    "saved_after_validated_replay": true,
+    "save_gate": {
+      "schema_version": "agent_semantic_save_gate_v1",
+      "validation_status": "accepted_domain_pack_loop",
+      "validated_run_dir": "artifacts\\domain_runs\\assistant_stage1_y9_inventory_selected_object_20260602_p5",
+      "final_status": "accepted",
+      "loop_id": "assistant_stage1_y9_inventory_selected_object_20260602_p5",
+      "target_score": 80,
+      "iterations_ran": 1,
+      "quality_score": 86,
+      "repair_target_count": 0,
+      "repair_target_severity_counts": {
+        "P0": 0,
+        "P1": 0,
+        "P2": 0
+      },
+      "accepted_gate": true,
+      "effective_runtime": {
+        "manifest_path": "artifacts\\domain_runs\\assistant_stage1_y9_inventory_selected_object_20260602_p5\\effective_runtime.json",
+        "runner": "domain_case_loop.run-pack-loop",
+        "git_sha": "5245a8aeea66ca2214b4bc3c18a70e27894df34c",
+        "backend_url": "http://127.0.0.1:8787",
+        "mcp_proxy_url": "http://127.0.0.1:6003",
+        "llm_provider": "local",
+        "llm_model": "unsloth/qwen3-30b-a3b-instruct-2507",
+        "temperature": 0.8,
+        "max_output_tokens": 900,
+        "prompt_version": "normalizer_v2_0_2",
+        "prompt_source": "file",
+        "prompt_hash": "f36e36a5e491cd24511b380e0c0059cb01aea5e2af738fb9f01671cd291735c1",
+        "prompt_registry_status": "pass"
+      },
+      "saved_after_validated_replay": true
+    }
+  },
+  "source_session_id": null,
+  "session": {
+    "session_id": null,
+    "mode": "agent_semantic_run",
+    "items": [
+      {
+        "message_id": "agent-user-001",
+        "role": "user",
+        "text": "Какие остатки на складе у ООО \"Альтернатива Плюс\"?",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-002",
+        "role": "user",
+        "text": "остатки на март 2016",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-003",
+        "role": "user",
+        "text": "По выбранному объекту \"Рабочая станция универсального специалиста (индивидуальное изготовление)\": где взяли это?",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-004",
+        "role": "user",
+        "text": "а кому продали?",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-005",
+        "role": "user",
+        "text": "у тебя написано кто контрагент: рабочая станция - это ошибка?",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-006",
+        "role": "user",
+        "text": "ндс можешь прикинуть на дату покупки рабочей станции?",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-007",
+        "role": "user",
+        "text": "если у нее несколько закупок, посчитай по первой подтвержденной покупке",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-008",
+        "role": "user",
+        "text": "а теперь по последней подтвержденной покупке",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-009",
+        "role": "user",
+        "text": "Есть ли у ООО \"Альтернатива Плюс\" остатки товара, которые закупались очень давно",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      },
+      {
+        "message_id": "agent-user-010",
+        "role": "user",
+        "text": "какие остатки по товарам на эту дату относятся к старым закупкам?",
+        "created_at": "2026-06-02T06:14:41+00:00",
+        "reply_type": null,
+        "trace_id": null,
+        "debug": null
+      }
+    ],
+    "agent_run": true,
+    "metadata": {
+      "assistant_prompt_version": null,
+      "decomposition_prompt_version": null,
+      "prompt_fingerprint": null,
+      "agent_focus": "Focused replay for assistant-stage1-Y9qmtnz66r: inventory snapshot, selected item provenance, sale trace, field-truth meta question, VAT carryover from ambiguous purchase dates, and old-stock aging.",
+      "architecture_phase": "turnaround_11",
+      "source_spec_file": "X:\\1C\\NDC_1C\\docs\\orchestration\\assistant_stage1_y9_inventory_selected_object_regression_20260525.json",
+      "scenario_id": null,
+      "semantic_tags": [
+        "aging",
+        "answer_inspection",
+        "date_carryover",
+        "field_truth",
+        "first_purchase",
+        "followup_date_carryover",
+        "historical_snapshot",
+        "inventory",
+        "item_vs_counterparty",
+        "last_purchase",
+        "organization_scope",
+        "pronoun_followup",
+        "purchase_date_carryover",
+        "purchase_provenance",
+        "sale_trace",
+        "selected_object",
+        "supplier_provenance",
+        "temporal_honesty",
+        "vat"
+      ],
+      "validation_status": "accepted_domain_pack_loop",
+      "validated_run_dir": "artifacts\\domain_runs\\assistant_stage1_y9_inventory_selected_object_20260602_p5",
+      "saved_after_validated_replay": true,
+      "save_gate": {
+        "schema_version": "agent_semantic_save_gate_v1",
+        "validation_status": "accepted_domain_pack_loop",
+        "validated_run_dir": "artifacts\\domain_runs\\assistant_stage1_y9_inventory_selected_object_20260602_p5",
+        "final_status": "accepted",
+        "loop_id": "assistant_stage1_y9_inventory_selected_object_20260602_p5",
+        "target_score": 80,
+        "iterations_ran": 1,
+        "quality_score": 86,
+        "repair_target_count": 0,
+        "repair_target_severity_counts": {
+          "P0": 0,
+          "P1": 0,
+          "P2": 0
+        },
+        "accepted_gate": true,
+        "effective_runtime": {
+          "manifest_path": "artifacts\\domain_runs\\assistant_stage1_y9_inventory_selected_object_20260602_p5\\effective_runtime.json",
+          "runner": "domain_case_loop.run-pack-loop",
+          "git_sha": "5245a8aeea66ca2214b4bc3c18a70e27894df34c",
+          "backend_url": "http://127.0.0.1:8787",
+          "mcp_proxy_url": "http://127.0.0.1:6003",
+          "llm_provider": "local",
+          "llm_model": "unsloth/qwen3-30b-a3b-instruct-2507",
+          "temperature": 0.8,
+          "max_output_tokens": 900,
+          "prompt_version": "normalizer_v2_0_2",
+          "prompt_source": "file",
+          "prompt_hash": "f36e36a5e491cd24511b380e0c0059cb01aea5e2af738fb9f01671cd291735c1",
+          "prompt_registry_status": "pass"
+        },
+        "saved_after_validated_replay": true
+      }
+    }
+  }
+}

llm_normalizer/data/eval_cases/assistant_autogen_saved_user_sessions_20260602061441_gen-ag06020614-947fd1.json

@@ -0,0 +1,55 @@
+{
+  "suite_id": "assistant_saved_session_gen-ag06020614-947fd1",
+  "suite_version": "0.1.0",
+  "schema_version": "assistant_saved_session_suite_v0_1",
+  "generated_at": "2026-06-02T06:14:41+00:00",
+  "generation_id": "gen-ag06020614-947fd1",
+  "mode": "saved_user_sessions",
+  "title": "AGENT | GUI Y9 inventory selected-object regression proof",
+  "domain": "inventory_selected_object_reliability",
+  "scenario_count": 1,
+  "case_ids": [
+    "SAVED-001"
+  ],
+  "cases": [
+    {
+      "case_id": "SAVED-001",
+      "scenario_tag": "agent_saved_user_sessions",
+      "title": "AGENT | GUI Y9 inventory selected-object regression proof",
+      "question_type": "followup",
+      "broadness_level": "medium",
+      "turns": [
+        {
+          "user_message": "Какие остатки на складе у ООО \"Альтернатива Плюс\"?"
+        },
+        {
+          "user_message": "остатки на март 2016"
+        },
+        {
+          "user_message": "По выбранному объекту \"Рабочая станция универсального специалиста (индивидуальное изготовление)\": где взяли это?"
+        },
+        {
+          "user_message": "а кому продали?"
+        },
+        {
+          "user_message": "у тебя написано кто контрагент: рабочая станция - это ошибка?"
+        },
+        {
+          "user_message": "ндс можешь прикинуть на дату покупки рабочей станции?"
+        },
+        {
+          "user_message": "если у нее несколько закупок, посчитай по первой подтвержденной покупке"
+        },
+        {
+          "user_message": "а теперь по последней подтвержденной покупке"
+        },
+        {
+          "user_message": "Есть ли у ООО \"Альтернатива Плюс\" остатки товара, которые закупались очень давно"
+        },
+        {
+          "user_message": "какие остатки по товарам на эту дату относятся к старым закупкам?"
+        }
+      ]
+    }
+  ]
+}

llm_normalizer/data/shared_llm_connection.json

@@ -1,6 +1,6 @@
 {
   "schema_version": "shared_llm_connection_v1",
-  "updated_at": "2026-05-25T13:27:06.297Z",
+  "updated_at": "2026-06-02T05:23:43.938Z",
   "connection": {
     "llmProvider": "local",
     "model": "unsloth/qwen3-30b-a3b-instruct-2507",

scripts/domain_case_loop.py

@@ -2937,15 +2937,27 @@ def build_scenario_step_state(
     current_date_scope = derive_mcp_discovery_business_overview_date_scope(debug)
     if current_date_scope is None:
         current_date_scope = context.get("date_scope")
+    runtime_contract = (
+        debug.get("assistant_runtime_contract_v1")
+        if isinstance(debug.get("assistant_runtime_contract_v1"), dict)
+        else {}
+    )
+    assistant_truth_policy = (
+        debug.get("assistant_truth_answer_policy_v1")
+        if isinstance(debug.get("assistant_truth_answer_policy_v1"), dict)
+        else {}
+    )
     truth_policy = debug.get("truth_answer_policy_v1") if isinstance(debug.get("truth_answer_policy_v1"), dict) else {}
+    if not truth_policy:
+        truth_policy = assistant_truth_policy
     truth_gate = truth_policy.get("truth_gate") if isinstance(truth_policy.get("truth_gate"), dict) else {}
     truth_answer_shape = truth_policy.get("answer_shape") if isinstance(truth_policy.get("answer_shape"), dict) else {}
-    coverage_gate_contract = (
-        debug.get("coverage_gate_contract") if isinstance(debug.get("coverage_gate_contract"), dict) else {}
-    )
-    answer_shape_contract = (
-        debug.get("answer_shape_contract") if isinstance(debug.get("answer_shape_contract"), dict) else {}
-    )
+    coverage_gate_contract = debug.get("coverage_gate_contract") if isinstance(debug.get("coverage_gate_contract"), dict) else {}
+    if not coverage_gate_contract:
+        coverage_gate_contract = truth_gate
+    answer_shape_contract = debug.get("answer_shape_contract") if isinstance(debug.get("answer_shape_contract"), dict) else {}
+    if not answer_shape_contract:
+        answer_shape_contract = truth_answer_shape
     raw_answer_shape = debug.get("answer_shape")
     debug_answer_shape = raw_answer_shape.get("answer_shape") if isinstance(raw_answer_shape, dict) else raw_answer_shape
 
@@ -2982,7 +2994,22 @@ def build_scenario_step_state(
         "detected_intent": debug.get("detected_intent"),
         "selected_recipe": debug.get("selected_recipe"),
         "capability_id": debug.get("capability_id"),
+        "capability_contract_id": first_non_empty_string(
+            debug.get("capability_contract_id"),
+            runtime_contract.get("capability_contract_id"),
+            answer_shape_contract.get("capability_contract_id"),
+        ),
         "capability_route_mode": debug.get("capability_route_mode"),
+        "truth_gate_contract_status": first_non_empty_string(
+            debug.get("truth_gate_contract_status"),
+            runtime_contract.get("truth_gate_contract_status"),
+            truth_gate.get("source_truth_gate_status"),
+        ),
+        "carryover_eligibility": first_non_empty_string(
+            debug.get("carryover_eligibility"),
+            runtime_contract.get("carryover_eligibility"),
+            truth_gate.get("carryover_eligibility"),
+        ),
         "mcp_discovery_catalog_chain_alignment_status": debug.get("mcp_discovery_catalog_chain_alignment_status"),
         "mcp_discovery_catalog_chain_top_match": debug.get("mcp_discovery_catalog_chain_top_match"),
         "mcp_discovery_catalog_chain_selected_matches_top": debug.get("mcp_discovery_catalog_chain_selected_matches_top"),
@@ -4081,6 +4108,9 @@ def compact_step_output_for_review(step_output: Any) -> dict[str, Any]:
         "detected_intent": step_output.get("detected_intent"),
         "selected_recipe": step_output.get("selected_recipe"),
         "capability_id": step_output.get("capability_id"),
+        "capability_contract_id": step_output.get("capability_contract_id"),
+        "truth_gate_contract_status": step_output.get("truth_gate_contract_status"),
+        "carryover_eligibility": step_output.get("carryover_eligibility"),
         "depends_on": step_output.get("depends_on"),
         "semantic_tags": step_output.get("semantic_tags"),
         "required_state_objects": step_output.get("required_state_objects"),
@@ -4713,6 +4743,84 @@ def normalize_analyst_priority_repair_target(raw_target: dict[str, Any], index:
     }
 
 
+def iso_date_ordinal(value: Any) -> int | None:
+    normalized = normalize_iso_date(value)
+    if not normalized:
+        return None
+    try:
+        return datetime.strptime(normalized, "%Y-%m-%d").date().toordinal()
+    except ValueError:
+        return None
+
+
+def extract_date_ordinals_from_text(value: Any) -> list[int]:
+    text = str(value or "")
+    dates: list[int] = []
+    for match in re.finditer(r"\b(\d{4})-(\d{2})-(\d{2})\b", text):
+        ordinal = iso_date_ordinal(match.group(0))
+        if ordinal is not None:
+            dates.append(ordinal)
+    for match in re.finditer(r"\b(\d{2})\.(\d{2})\.(\d{4})\b", text):
+        day, month, year = match.groups()
+        ordinal = iso_date_ordinal(f"{year}-{month}-{day}")
+        if ordinal is not None:
+            dates.append(ordinal)
+    return dates
+
+
+def validated_temporal_cutoff_target_is_false_positive(
+    target: dict[str, Any],
+    step_snapshot: dict[str, Any],
+    target_text: str,
+) -> bool:
+    temporal_markers = (
+        "temporal",
+        "date",
+        "cutoff",
+        "historical",
+        "later",
+        "post-",
+        "out-of-window",
+        "window",
+        "scope",
+        "дата",
+        "дат",
+        "позже",
+        "после",
+        "границ",
+        "временн",
+        "окн",
+        "срез",
+    )
+    if not any(marker in target_text for marker in temporal_markers):
+        return False
+
+    extracted_filters = step_snapshot.get("extracted_filters") if isinstance(step_snapshot.get("extracted_filters"), dict) else {}
+    date_scope = step_snapshot.get("date_scope") if isinstance(step_snapshot.get("date_scope"), dict) else {}
+    analysis_context = (
+        step_snapshot.get("analysis_context") if isinstance(step_snapshot.get("analysis_context"), dict) else {}
+    )
+    cutoff_ordinal = (
+        iso_date_ordinal(extracted_filters.get("as_of_date"))
+        or iso_date_ordinal(date_scope.get("as_of_date"))
+        or iso_date_ordinal(analysis_context.get("as_of_date"))
+    )
+    if cutoff_ordinal is None:
+        return False
+
+    assistant_dates = extract_date_ordinals_from_text(step_snapshot.get("assistant_text_excerpt"))
+    if not assistant_dates:
+        return False
+    if any(date_ordinal > cutoff_ordinal for date_ordinal in assistant_dates):
+        return False
+
+    target_dates = extract_date_ordinals_from_text(target_text)
+    if target_dates and any(date_ordinal > cutoff_ordinal for date_ordinal in target_dates):
+        return False
+
+    return True
+
+
 def analyst_target_contradicts_validated_step(target: dict[str, Any], step_snapshot: dict[str, Any] | None) -> bool:
     if not isinstance(step_snapshot, dict):
         return False
@@ -4742,6 +4850,13 @@ def analyst_target_contradicts_validated_step(target: dict[str, Any], step_snaps
         "guarded_insufficiency_validated",
         "runtime_factual_answer_validated",
         "bounded_mcp_answer_validated",
+        "truth gate",
+        "runtime truth",
+        "truth confirmation",
+        "validated factual status",
+        "runtime truth confirmation",
+        "shape-only",
+        "candidate-only",
         "heuristic_candidates",
         "silent heuristic",
         "unvalidated",
@@ -4751,6 +4866,9 @@ def analyst_target_contradicts_validated_step(target: dict[str, Any], step_snaps
     if any(marker in target_text for marker in stale_validation_markers):
         return True
 
+    if validated_temporal_cutoff_target_is_false_positive(target, step_snapshot, target_text):
+        return True
+
     assistant_text = str(step_snapshot.get("assistant_text_excerpt") or "").casefold()
     problem_type = str(target.get("problem_type") or "").strip()
     root_cause_layers = set(normalize_string_list(target.get("root_cause_layers")))

scripts/test_domain_case_loop_step_state.py

@@ -677,6 +677,179 @@ class DomainCaseLoopStepStateTests(unittest.TestCase):
         self.assertEqual(step_state["business_first_review"]["issue_codes"], [])
         self.assertEqual(step_state["acceptance_status"], "validated")
 
+    def test_assistant_truth_policy_runtime_contract_validates_exact_factual_step(self) -> None:
+        step_state = dcl.build_scenario_step_state(
+            scenario_id="truth_contract_demo",
+            domain="inventory_selected_object_reliability",
+            step={
+                "step_id": "step_01",
+                "title": "VAT by selected purchase date",
+                "depends_on": [],
+                "question_template": "calculate VAT by selected purchase date",
+                "required_answer_shape": "direct_answer_first",
+                "required_answer_patterns_all": ["VAT", "Q1 2015"],
+            },
+            step_index=1,
+            question_resolved="calculate VAT by selected purchase date",
+            analysis_context={},
+            turn_artifact={
+                "assistant_message": {
+                    "reply_type": "factual",
+                    "text": "VAT for Q1 2015 is confirmed: 1,556,449.06. Basis: sales and purchase ledgers.",
+                    "message_id": "msg-1",
+                    "trace_id": "trace-1",
+                },
+                "technical_debug_payload": {
+                    "detected_mode": "address_query",
+                    "detected_intent": "vat_liability_confirmed_for_tax_period",
+                    "selected_recipe": "address_vat_liability_confirmed_tax_period_v1",
+                    "capability_id": "confirmed_vat_liability_for_tax_period",
+                    "capability_route_mode": "exact",
+                    "fallback_type": "none",
+                    "mcp_call_status": "matched_non_empty",
+                    "response_type": "FACTUAL_SUMMARY",
+                    "result_mode": "confirmed_balance",
+                    "balance_confirmed": True,
+                    "mcp_discovery_route_candidate_status": "ready_for_reviewed_execution",
+                    "mcp_discovery_response_applied": False,
+                    "assistant_runtime_contract_v1": {
+                        "capability_contract_id": "confirmed_vat_liability_for_tax_period",
+                        "truth_gate_contract_status": "full_confirmed",
+                        "carryover_eligibility": "root_only",
+                    },
+                    "assistant_truth_answer_policy_v1": {
+                        "truth_gate": {
+                            "coverage_status": "full",
+                            "evidence_grade": "strong",
+                            "truth_mode": "confirmed",
+                            "source_truth_gate_status": "full_confirmed",
+                        },
+                        "answer_shape": {
+                            "answer_shape": "confirmed_factual",
+                            "capability_contract_id": "confirmed_vat_liability_for_tax_period",
+                        },
+                    },
+                },
+                "session_summary": {},
+            },
+            entries=[],
+        )
+
+        self.assertEqual(step_state["capability_contract_id"], "confirmed_vat_liability_for_tax_period")
+        self.assertEqual(step_state["truth_gate_contract_status"], "full_confirmed")
+        self.assertEqual(step_state["truth_mode"], "confirmed")
+        self.assertEqual(step_state["coverage_status"], "full")
+        self.assertEqual(step_state["answer_shape"], "confirmed_factual")
+        self.assertTrue(step_state["runtime_factual_answer_validated"])
+        self.assertEqual(step_state["acceptance_status"], "validated")
+
+    def test_analyst_shape_only_target_is_suppressed_for_truth_confirmed_runtime_step(self) -> None:
+        repair_targets = {
+            "targets": [],
+            "step_validation_index": {
+                "scenario_a:step_01": {
+                    "acceptance_status": "validated",
+                    "violated_invariants": [],
+                    "warnings": [],
+                    "runtime_factual_answer_validated": True,
+                    "truth_gate_contract_status": "full_confirmed",
+                    "assistant_text_excerpt": "Confirmed business answer for the selected item.",
+                }
+            },
+        }
+        analyst_verdict = {
+            "priority_targets": [
+                {
+                    "scenario_id": "scenario_a",
+                    "step_id": "step_01",
+                    "severity": "P1",
+                    "problem_type": "capability_gap",
+                    "root_cause_layers": ["runtime_capability_gap"],
+                    "fix_goal": "Remove shape-only acceptance and add runtime truth confirmation.",
+                }
+            ]
+        }
+
+        merged = dcl.merge_analyst_priority_repair_targets(repair_targets, analyst_verdict)
+
+        self.assertEqual(merged["target_count"], 0)
+        self.assertEqual(merged["suppressed_analyst_priority_target_count"], 1)
+        self.assertEqual(
+            merged["suppressed_analyst_priority_targets"][0]["reason"],
+            "analyst_target_contradicts_validated_step",
+        )
+
+    def test_analyst_temporal_cutoff_false_positive_is_suppressed_for_validated_step(self) -> None:
+        repair_targets = {
+            "targets": [],
+            "step_validation_index": {
+                "inventory_chain:s03": {
+                    "acceptance_status": "validated",
+                    "violated_invariants": [],
+                    "warnings": [],
+                    "runtime_factual_answer_validated": True,
+                    "extracted_filters": {"as_of_date": "2016-03-31"},
+                    "assistant_text_excerpt": (
+                        "По позиции до 31.03.2016 поставщик не подтвержден. "
+                        "Первая закупка: 05.02.2015. Последняя закупка: 22.07.2015. "
+                        "Опорный документ от 22.07.2015."
+                    ),
+                }
+            },
+        }
+        analyst_verdict = {
+            "priority_targets": [
+                {
+                    "scenario_id": "inventory_chain",
+                    "step_id": "s03",
+                    "severity": "P0",
+                    "problem_type": "other",
+                    "root_cause_layers": ["temporal_honesty_gap"],
+                    "fix_goal": "The answer declares a historical cutoff but cites proof rows with later dates.",
+                }
+            ]
+        }
+
+        merged = dcl.merge_analyst_priority_repair_targets(repair_targets, analyst_verdict)
+
+        self.assertEqual(merged["target_count"], 0)
+        self.assertEqual(merged["suppressed_analyst_priority_target_count"], 1)
+
+    def test_analyst_temporal_cutoff_real_out_of_window_target_is_kept(self) -> None:
+        repair_targets = {
+            "targets": [],
+            "step_validation_index": {
+                "inventory_chain:s03": {
+                    "acceptance_status": "validated",
+                    "violated_invariants": [],
+                    "warnings": [],
+                    "runtime_factual_answer_validated": True,
+                    "extracted_filters": {"as_of_date": "2016-03-31"},
+                    "assistant_text_excerpt": (
+                        "По позиции до 31.03.2016 поставщик не подтвержден. "
+                        "Опорный документ от 25.05.2026."
+                    ),
+                }
+            },
+        }
+        analyst_verdict = {
+            "priority_targets": [
+                {
+                    "scenario_id": "inventory_chain",
+                    "step_id": "s03",
+                    "severity": "P0",
+                    "problem_type": "other",
+                    "root_cause_layers": ["temporal_honesty_gap"],
+                    "fix_goal": "The answer declares a historical cutoff but cites proof rows with later dates.",
+                }
+            ]
+        }
+
+        merged = dcl.merge_analyst_priority_repair_targets(repair_targets, analyst_verdict)
+
+        self.assertEqual(merged["target_count"], 1)
+        self.assertEqual(merged["suppressed_analyst_priority_target_count"], 0)
+
     def test_literal_result_mode_contract_still_rejects_mismatch(self) -> None:
         step_state = dcl.build_scenario_step_state(
             scenario_id="literal_result_mode_demo",