ARCH: добить all-time и period-first clarification loops

docs/orchestration/address_truth_harness_phase47_multi_hop_open_net_period_first_clarification_loop.json

@@ -0,0 +1,70 @@
+{
+  "schema_version": "domain_truth_harness_spec_v1",
+  "scenario_id": "address_truth_harness_phase47_multi_hop_open_net_period_first_clarification_loop",
+  "domain": "address_phase47_multi_hop_open_net_period_first_clarification_loop",
+  "title": "Phase 47 multi-hop open net period-first clarification loop",
+  "description": "Targeted AGENT replay for Big Block F where an open-scope net question asks for both organization and period, then keeps the same net loop after a period-only clarification, and finally answers after the second clarification provides the organization.",
+  "bindings": {},
+  "steps": [
+    {
+      "step_id": "step_01_open_net_requires_org_and_period",
+      "title": "Open net question asks for both organization and period",
+      "question": "Какое нетто по деньгам: сколько получили и сколько заплатили?",
+      "allowed_reply_types": ["clarification_required", "partial_coverage", "factual_with_explanation"],
+      "required_answer_patterns_all": [
+        "(?i)уточн|нужно",
+        "(?i)организац",
+        "(?i)период"
+      ],
+      "forbidden_answer_patterns": [
+        "(?i)уточните контрагента",
+        "(?i)не найден контрагент",
+        "(?i)по какому контрагенту",
+        "(?i)не найдено контрагента"
+      ],
+      "criticality": "critical",
+      "semantic_tags": ["open_scope_net", "multi_hop_clarification", "organization_scope", "period_scope", "bounded_autonomy"]
+    },
+    {
+      "step_id": "step_02_period_only_clarification_keeps_same_net_loop",
+      "title": "Period-only clarification preserves the same net loop and asks only for the organization",
+      "question": "за 2020 год",
+      "allowed_reply_types": ["clarification_required", "partial_coverage"],
+      "required_answer_patterns_all": [
+        "(?i)уточн|нужно",
+        "(?i)организац"
+      ],
+      "forbidden_answer_patterns": [
+        "(?i)период",
+        "(?i)уточните контрагента",
+        "(?i)не найден контрагент"
+      ],
+      "criticality": "critical",
+      "semantic_tags": ["open_scope_net", "multi_hop_clarification", "period_followup_reuse", "bounded_autonomy"]
+    },
+    {
+      "step_id": "step_03_org_clarification_completes_same_net_loop",
+      "title": "Organization clarification completes the same net loop and yields a bounded net answer",
+      "question": "по ООО Альтернатива Плюс",
+      "allowed_reply_types": ["factual_with_explanation", "partial_coverage"],
+      "required_answer_patterns_all": [
+        "(?i)2020",
+        "(?i)получ|входящ|заплат|исходящ|нетто",
+        "(?i)руб"
+      ],
+      "required_answer_patterns_any": [
+        "(?i)альтернатива",
+        "(?i)проверенн|найденн",
+        "(?i)разниц|нетто"
+      ],
+      "forbidden_answer_patterns": [
+        "(?i)уточните организацию",
+        "(?i)уточните период",
+        "(?i)уточните контрагента",
+        "(?i)не найден контрагент"
+      ],
+      "criticality": "critical",
+      "semantic_tags": ["open_scope_net", "multi_hop_clarification", "organization_followup_reuse", "bounded_autonomy"]
+    }
+  ]
+}

docs/orchestration/address_truth_harness_phase48_multi_hop_open_total_all_time_clarification_loop.json

@@ -0,0 +1,69 @@
+{
+  "schema_version": "domain_truth_harness_spec_v1",
+  "scenario_id": "address_truth_harness_phase48_multi_hop_open_total_all_time_clarification_loop",
+  "domain": "address_phase48_multi_hop_open_total_all_time_clarification_loop",
+  "title": "Phase 48 multi-hop open total all-time clarification loop",
+  "description": "Targeted AGENT replay for Big Block F where an open-scope incoming-total question asks for both organization and period, then keeps the same total loop after an organization-only clarification, and finally accepts 'за все время' as the period clarification that clears the remaining gap and produces a bounded answer.",
+  "bindings": {},
+  "steps": [
+    {
+      "step_id": "step_01_open_total_requires_org_and_period",
+      "title": "Open total question asks for both organization and period",
+      "question": "Сколько вообще входящих денег было?",
+      "allowed_reply_types": ["clarification_required", "partial_coverage", "factual_with_explanation"],
+      "required_answer_patterns_all": [
+        "(?i)уточн|нужно",
+        "(?i)организац",
+        "(?i)период"
+      ],
+      "forbidden_answer_patterns": [
+        "(?i)уточните контрагента",
+        "(?i)не найден контрагент",
+        "(?i)по какому контрагенту",
+        "(?i)не найдено контрагента"
+      ],
+      "criticality": "critical",
+      "semantic_tags": ["open_scope_total", "multi_hop_clarification", "organization_scope", "period_scope", "bounded_autonomy"]
+    },
+    {
+      "step_id": "step_02_org_only_clarification_keeps_same_total_loop",
+      "title": "Organization-only clarification preserves the same total loop and asks only for the period",
+      "question": "по ООО Альтернатива Плюс",
+      "allowed_reply_types": ["clarification_required", "partial_coverage"],
+      "required_answer_patterns_all": [
+        "(?i)уточн|нужно",
+        "(?i)период"
+      ],
+      "forbidden_answer_patterns": [
+        "(?i)организац",
+        "(?i)уточните контрагента",
+        "(?i)не найден контрагент"
+      ],
+      "criticality": "critical",
+      "semantic_tags": ["open_scope_total", "multi_hop_clarification", "organization_followup_reuse", "bounded_autonomy"]
+    },
+    {
+      "step_id": "step_03_all_time_clarification_completes_same_total_loop",
+      "title": "All-time clarification clears the remaining period gap and yields a bounded total answer",
+      "question": "за все время",
+      "allowed_reply_types": ["factual_with_explanation", "partial_coverage"],
+      "required_answer_patterns_all": [
+        "(?i)входящ|получ",
+        "(?i)руб"
+      ],
+      "required_answer_patterns_any": [
+        "(?i)все время|доступное время|проверенн",
+        "(?i)альтернатива",
+        "(?i)найденн"
+      ],
+      "forbidden_answer_patterns": [
+        "(?i)уточните организацию",
+        "(?i)уточните период",
+        "(?i)уточните контрагента",
+        "(?i)не найден контрагент"
+      ],
+      "criticality": "critical",
+      "semantic_tags": ["open_scope_total", "all_time_scope", "multi_hop_clarification", "bounded_autonomy"]
+    }
+  ]
+}

llm_normalizer/backend/dist/services/assistantMcpCatalogIndex.js

@@ -65,7 +65,13 @@ const PRIMITIVE_CONTRACTS = [
         supported_fact_families: ["value_flow", "movement_evidence"],
         supported_action_families: ["turnover", "payout", "net_value_flow", "list_movements"],
         planning_tags: ["movement", "comparison", "ranking", "aggregation", "monthly_aggregation"],
-        required_axes_any_of: [["period", "account"], ["period", "counterparty"], ["period", "organization"]],
+        required_axes_any_of: [
+            ["period", "account"],
+            ["period", "counterparty"],
+            ["period", "organization"],
+            ["all_time_scope", "counterparty"],
+            ["all_time_scope", "organization"]
+        ],
         optional_axes: ["contract", "document", "amount", "item", "warehouse"],
         output_fact_kinds: ["movement_rows", "turnover", "balance_delta"],
         evidence_floor: "rows_matched",
@@ -93,7 +99,13 @@ const PRIMITIVE_CONTRACTS = [
         supported_fact_families: ["value_flow"],
         supported_action_families: ["turnover", "payout", "net_value_flow"],
         planning_tags: ["aggregation", "ranking", "monthly_aggregation"],
-        required_axes_any_of: [["aggregate_axis", "period"], ["aggregate_axis", "counterparty"], ["aggregate_axis", "account"]],
+        required_axes_any_of: [
+            ["aggregate_axis", "period"],
+            ["aggregate_axis", "counterparty"],
+            ["aggregate_axis", "account"],
+            ["aggregate_axis", "counterparty", "all_time_scope"],
+            ["aggregate_axis", "organization", "all_time_scope"]
+        ],
         optional_axes: ["organization", "contract", "document", "amount"],
         output_fact_kinds: ["aggregate_totals", "ranked_axis_values"],
         evidence_floor: "rows_matched",

llm_normalizer/backend/dist/services/assistantMcpDiscoveryAnswerAdapter.js

@@ -46,7 +46,6 @@ function isInternalMechanicsLine(value) {
         text.includes("runtime_") ||
         text.includes("planner_") ||
         text.includes("catalog_") ||
-        text.includes("mcp discovery") ||
         text.includes("needs more scope before execution") ||
         text.includes("mcp_execution_performed"));
 }

llm_normalizer/backend/dist/services/assistantMcpDiscoveryDataNeedGraph.js

@@ -100,10 +100,10 @@ function hasOpenScopeOneSidedValueTotalHint(rawUtterance, action) {
         return false;
     }
     if (action === "turnover") {
-        return /(?:\bсколько\s+(?:мы\s+)?(?:получили|получено|входящих(?:\s+денег)?|поступлений|денег\s+пришло)\b|(?:сумма|объем)\s+(?:входящих|поступлений)|поступлений\s+за\b)/iu.test(rawUtterance);
+        return /(?:\bсколько\s+(?:(?:вообще|всего|реально)\s+){0,2}(?:мы\s+)?(?:получили|получено|входящих(?:\s+денег)?(?:\s+было)?|поступлений|денег\s+пришло)\b|(?:сумма|объем)\s+(?:входящих|поступлений)|поступлений\s+за\b)/iu.test(rawUtterance);
     }
     if (action === "payout") {
-        return /(?:\bсколько\s+(?:мы\s+)?(?:заплатили|выплатили|потратили|исходящих(?:\s+денег)?|платежей|списаний)\b|(?:сумма|объем)\s+(?:исходящих|платежей|списаний)|(?:платежей|списаний)\s+за\b)/iu.test(rawUtterance);
+        return /(?:\bсколько\s+(?:(?:вообще|всего|реально)\s+){0,2}(?:мы\s+)?(?:заплатили|выплатили|потратили|исходящих(?:\s+денег)?(?:\s+было)?|платежей(?:\s+было)?|списаний(?:\s+было)?)\b|(?:сумма|объем)\s+(?:исходящих|платежей|списаний)|(?:платежей|списаний)\s+за\b)/iu.test(rawUtterance);
     }
     return false;
 }
@@ -112,10 +112,10 @@ function hasOpenScopeOneSidedValueTotalHintUtf8Safe(rawUtterance, action) {
         return false;
     }
     if (action === "turnover") {
-        return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:\u043c\u044b\s+)?(?:\u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438|\u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043e|\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439|\u0434\u0435\u043d\u0435\u0433\s+\u043f\u0440\u0438\u0448\u043b\u043e)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439)|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439\s+\u0437\u0430)/u.test(rawUtterance);
+        return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:(?:\u0432\u043e\u043e\u0431\u0449\u0435|\u0432\u0441\u0435\u0433\u043e|\u0440\u0435\u0430\u043b\u044c\u043d\u043e)\s+){0,2}(?:\u043c\u044b\s+)?(?:\u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438|\u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043e|\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?(?:\s+\u0431\u044b\u043b\u043e)?|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439|\u0434\u0435\u043d\u0435\u0433\s+\u043f\u0440\u0438\u0448\u043b\u043e)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439)|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439\s+\u0437\u0430)/u.test(rawUtterance);
     }
     if (action === "payout") {
-        return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:\u043c\u044b\s+)?(?:\u0437\u0430\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u0432\u044b\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u043f\u043e\u0442\u0440\u0430\u0442\u0438\u043b\u0438|\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)|(?:\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)\s+\u0437\u0430)/u.test(rawUtterance);
+        return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:(?:\u0432\u043e\u043e\u0431\u0449\u0435|\u0432\u0441\u0435\u0433\u043e|\u0440\u0435\u0430\u043b\u044c\u043d\u043e)\s+){0,2}(?:\u043c\u044b\s+)?(?:\u0437\u0430\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u0432\u044b\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u043f\u043e\u0442\u0440\u0430\u0442\u0438\u043b\u0438|\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?(?:\s+\u0431\u044b\u043b\u043e)?|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439(?:\s+\u0431\u044b\u043b\u043e)?|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439(?:\s+\u0431\u044b\u043b\u043e)?)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)|(?:\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)\s+\u0437\u0430)/u.test(rawUtterance);
     }
     return false;
 }

llm_normalizer/backend/dist/services/assistantMcpDiscoveryPlanner.js

@@ -58,6 +58,11 @@ function addScopeAxes(axes, meaning) {
         pushUnique(axes, "period");
     }
 }
+function addTimeScopeAxes(axes, dataNeedGraph) {
+    if (dataNeedGraph?.time_scope_need === "all_time_scope") {
+        pushUnique(axes, "all_time_scope");
+    }
+}
 function includesAny(text, tokens) {
     return tokens.some((token) => text.includes(token));
 }
@@ -276,6 +281,7 @@ function recipeFor(input) {
     const axes = [];
     const requestedAggregationAxis = aggregationAxis(meaning);
     addScopeAxes(axes, meaning);
+    addTimeScopeAxes(axes, dataNeedGraph);
     if (graphClarificationGaps.includes("lane_family_choice")) {
         pushUnique(axes, "lane_family_choice");
         return {

llm_normalizer/backend/dist/services/assistantMcpDiscoveryResponseCandidate.js

@@ -56,7 +56,6 @@ function hasInternalMechanics(value) {
         text.includes("planner_") ||
         text.includes("catalog_") ||
         text.includes("select ") ||
-        text.includes("mcp discovery") ||
         text.includes("needs more scope before execution") ||
         text.includes("mcp_execution_performed"));
 }

llm_normalizer/backend/dist/services/assistantMcpDiscoveryTurnInputAdapter.js

@@ -768,14 +768,27 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
         ? null
         : predecomposeEntities.counterparty;
     const predecomposeDateScope = collectDateScope(predecomposeContract);
+    const periodClarificationFollowupApplicable = Boolean(followupSeed.domain &&
+        followupSeed.loopStatus === "awaiting_clarification" &&
+        followupSeed.loopPendingAxes.includes("period") &&
+        !rawLifecycleSignal &&
+        !rawMetadataSignal &&
+        (rawAllTimeScopeSignal ||
+            explicitDateScopeLiteralDetected ||
+            rawDateScope ||
+            relativeCurrentDateHintDetected ||
+            (predecomposeDateScope && !isImplicitCurrentDateScope(predecomposeDateScope))));
     const followupDiscoverySeedApplicable = Boolean(followupSeed.domain &&
         !rawLifecycleSignal &&
-        !rawValueFlowSignal &&
+        !rawMetadataSignal &&
-        (monthlyAggregationSignal ||
+        (periodClarificationFollowupApplicable ||
-            explicitDateScopeLiteralDetected ||
+            (!rawValueFlowSignal &&
-            predecomposeDateScope ||
+                (monthlyAggregationSignal ||
-            explicitOrganizationScopeSignal ||
+                    rawAllTimeScopeSignal ||
-            organizationClarificationFollowupApplicable));
+                    explicitDateScopeLiteralDetected ||
+                    predecomposeDateScope ||
+                    explicitOrganizationScopeSignal ||
+                    organizationClarificationFollowupApplicable))));
     const metadataFollowupSeedApplicable = Boolean(followupSeed.domain === "metadata" &&
         !rawLifecycleSignal &&
         !rawValueFlowSignal &&
@@ -1197,6 +1210,7 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
             groundedValueFlowFollowupApplicable,
         forceDiscoveryOverExplicitIntent: Boolean(entityResolutionClarificationCandidate) ||
             organizationClarificationFollowupApplicable ||
+            periodClarificationFollowupApplicable ||
             metadataAmbiguityLaneClarificationApplicable ||
             metadataGroundedMovementLaneApplicable ||
             metadataGroundedDocumentLaneApplicable ||
@@ -1249,6 +1263,9 @@ function buildAssistantMcpDiscoveryTurnInput(input) {
     if (organizationClarificationFollowupApplicable) {
         pushReason(reasonCodes, "mcp_discovery_organization_clarification_followup_from_followup_context");
     }
+    if (periodClarificationFollowupApplicable) {
+        pushReason(reasonCodes, "mcp_discovery_period_clarification_followup_from_followup_context");
+    }
     if (payoutSignal) {
         pushReason(reasonCodes, "mcp_discovery_payout_signal_detected");
     }

llm_normalizer/backend/src/services/assistantMcpCatalogIndex.ts

@@ -98,7 +98,13 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
     supported_fact_families: ["value_flow", "movement_evidence"],
     supported_action_families: ["turnover", "payout", "net_value_flow", "list_movements"],
     planning_tags: ["movement", "comparison", "ranking", "aggregation", "monthly_aggregation"],
-    required_axes_any_of: [["period", "account"], ["period", "counterparty"], ["period", "organization"]],
+    required_axes_any_of: [
+      ["period", "account"],
+      ["period", "counterparty"],
+      ["period", "organization"],
+      ["all_time_scope", "counterparty"],
+      ["all_time_scope", "organization"]
+    ],
     optional_axes: ["contract", "document", "amount", "item", "warehouse"],
     output_fact_kinds: ["movement_rows", "turnover", "balance_delta"],
     evidence_floor: "rows_matched",
@@ -126,7 +132,13 @@ const PRIMITIVE_CONTRACTS: AssistantMcpCatalogPrimitiveContract[] = [
     supported_fact_families: ["value_flow"],
     supported_action_families: ["turnover", "payout", "net_value_flow"],
     planning_tags: ["aggregation", "ranking", "monthly_aggregation"],
-    required_axes_any_of: [["aggregate_axis", "period"], ["aggregate_axis", "counterparty"], ["aggregate_axis", "account"]],
+    required_axes_any_of: [
+      ["aggregate_axis", "period"],
+      ["aggregate_axis", "counterparty"],
+      ["aggregate_axis", "account"],
+      ["aggregate_axis", "counterparty", "all_time_scope"],
+      ["aggregate_axis", "organization", "all_time_scope"]
+    ],
     optional_axes: ["organization", "contract", "document", "amount"],
     output_fact_kinds: ["aggregate_totals", "ranked_axis_values"],
     evidence_floor: "rows_matched",

llm_normalizer/backend/src/services/assistantMcpDiscoveryDataNeedGraph.ts

@@ -153,12 +153,12 @@ function hasOpenScopeOneSidedValueTotalHint(rawUtterance: string, action: string
     return false;
   }
   if (action === "turnover") {
-    return /(?:\bсколько\s+(?:мы\s+)?(?:получили|получено|входящих(?:\s+денег)?|поступлений|денег\s+пришло)\b|(?:сумма|объем)\s+(?:входящих|поступлений)|поступлений\s+за\b)/iu.test(
+    return /(?:\bсколько\s+(?:(?:вообще|всего|реально)\s+){0,2}(?:мы\s+)?(?:получили|получено|входящих(?:\s+денег)?(?:\s+было)?|поступлений|денег\s+пришло)\b|(?:сумма|объем)\s+(?:входящих|поступлений)|поступлений\s+за\b)/iu.test(
       rawUtterance
     );
   }
   if (action === "payout") {
-    return /(?:\bсколько\s+(?:мы\s+)?(?:заплатили|выплатили|потратили|исходящих(?:\s+денег)?|платежей|списаний)\b|(?:сумма|объем)\s+(?:исходящих|платежей|списаний)|(?:платежей|списаний)\s+за\b)/iu.test(
+    return /(?:\bсколько\s+(?:(?:вообще|всего|реально)\s+){0,2}(?:мы\s+)?(?:заплатили|выплатили|потратили|исходящих(?:\s+денег)?(?:\s+было)?|платежей(?:\s+было)?|списаний(?:\s+было)?)\b|(?:сумма|объем)\s+(?:исходящих|платежей|списаний)|(?:платежей|списаний)\s+за\b)/iu.test(
       rawUtterance
     );
   }
@@ -170,12 +170,12 @@ function hasOpenScopeOneSidedValueTotalHintUtf8Safe(rawUtterance: string, action
     return false;
   }
   if (action === "turnover") {
-    return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:\u043c\u044b\s+)?(?:\u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438|\u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043e|\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439|\u0434\u0435\u043d\u0435\u0433\s+\u043f\u0440\u0438\u0448\u043b\u043e)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439)|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439\s+\u0437\u0430)/u.test(
+    return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:(?:\u0432\u043e\u043e\u0431\u0449\u0435|\u0432\u0441\u0435\u0433\u043e|\u0440\u0435\u0430\u043b\u044c\u043d\u043e)\s+){0,2}(?:\u043c\u044b\s+)?(?:\u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438|\u043f\u043e\u043b\u0443\u0447\u0435\u043d\u043e|\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?(?:\s+\u0431\u044b\u043b\u043e)?|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439|\u0434\u0435\u043d\u0435\u0433\s+\u043f\u0440\u0438\u0448\u043b\u043e)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0432\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439)|\u043f\u043e\u0441\u0442\u0443\u043f\u043b\u0435\u043d\u0438\u0439\s+\u0437\u0430)/u.test(
       rawUtterance
     );
   }
   if (action === "payout") {
-    return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:\u043c\u044b\s+)?(?:\u0437\u0430\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u0432\u044b\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u043f\u043e\u0442\u0440\u0430\u0442\u0438\u043b\u0438|\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)|(?:\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)\s+\u0437\u0430)/u.test(
+    return /(?:\u0441\u043a\u043e\u043b\u044c\u043a\u043e\s+(?:(?:\u0432\u043e\u043e\u0431\u0449\u0435|\u0432\u0441\u0435\u0433\u043e|\u0440\u0435\u0430\u043b\u044c\u043d\u043e)\s+){0,2}(?:\u043c\u044b\s+)?(?:\u0437\u0430\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u0432\u044b\u043f\u043b\u0430\u0442\u0438\u043b\u0438|\u043f\u043e\u0442\u0440\u0430\u0442\u0438\u043b\u0438|\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445(?:\s+\u0434\u0435\u043d\u0435\u0433)?(?:\s+\u0431\u044b\u043b\u043e)?|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439(?:\s+\u0431\u044b\u043b\u043e)?|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439(?:\s+\u0431\u044b\u043b\u043e)?)|(?:\u0441\u0443\u043c\u043c\u0430|\u043e\u0431\u044a\u0435\u043c)\s+(?:\u0438\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0445|\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)|(?:\u043f\u043b\u0430\u0442\u0435\u0436\u0435\u0439|\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u0439)\s+\u0437\u0430)/u.test(
       rawUtterance
     );
   }

llm_normalizer/backend/src/services/assistantMcpDiscoveryPlanner.ts

@@ -150,6 +150,15 @@ function addScopeAxes(axes: string[], meaning: AssistantMcpDiscoveryTurnMeaningR
   }
 }
 
+function addTimeScopeAxes(
+  axes: string[],
+  dataNeedGraph: AssistantMcpDiscoveryDataNeedGraphContract | null | undefined
+): void {
+  if (dataNeedGraph?.time_scope_need === "all_time_scope") {
+    pushUnique(axes, "all_time_scope");
+  }
+}
+
 function includesAny(text: string, tokens: string[]): boolean {
   return tokens.some((token) => text.includes(token));
 }
@@ -417,6 +426,7 @@ function recipeFor(input: AssistantMcpDiscoveryPlannerInput): PlannerRecipe {
   const axes: string[] = [];
   const requestedAggregationAxis = aggregationAxis(meaning);
   addScopeAxes(axes, meaning);
+  addTimeScopeAxes(axes, dataNeedGraph);
 
   if (graphClarificationGaps.includes("lane_family_choice")) {
     pushUnique(axes, "lane_family_choice");

llm_normalizer/backend/src/services/assistantMcpDiscoveryTurnInputAdapter.ts

@@ -1053,15 +1053,30 @@ export function buildAssistantMcpDiscoveryTurnInput(
     ? null
     : predecomposeEntities.counterparty;
   const predecomposeDateScope = collectDateScope(predecomposeContract);
+  const periodClarificationFollowupApplicable = Boolean(
+    followupSeed.domain &&
+      followupSeed.loopStatus === "awaiting_clarification" &&
+      followupSeed.loopPendingAxes.includes("period") &&
+      !rawLifecycleSignal &&
+      !rawMetadataSignal &&
+      (rawAllTimeScopeSignal ||
+        explicitDateScopeLiteralDetected ||
+        rawDateScope ||
+        relativeCurrentDateHintDetected ||
+        (predecomposeDateScope && !isImplicitCurrentDateScope(predecomposeDateScope)))
+  );
   const followupDiscoverySeedApplicable = Boolean(
     followupSeed.domain &&
       !rawLifecycleSignal &&
-      !rawValueFlowSignal &&
+      !rawMetadataSignal &&
-      (monthlyAggregationSignal ||
+      (periodClarificationFollowupApplicable ||
-        explicitDateScopeLiteralDetected ||
+        (!rawValueFlowSignal &&
-        predecomposeDateScope ||
+          (monthlyAggregationSignal ||
-        explicitOrganizationScopeSignal ||
+            rawAllTimeScopeSignal ||
-        organizationClarificationFollowupApplicable)
+            explicitDateScopeLiteralDetected ||
+            predecomposeDateScope ||
+            explicitOrganizationScopeSignal ||
+            organizationClarificationFollowupApplicable)))
   );
   const metadataFollowupSeedApplicable = Boolean(
     followupSeed.domain === "metadata" &&
@@ -1563,6 +1578,7 @@ export function buildAssistantMcpDiscoveryTurnInput(
     forceDiscoveryOverExplicitIntent:
       Boolean(entityResolutionClarificationCandidate) ||
       organizationClarificationFollowupApplicable ||
+      periodClarificationFollowupApplicable ||
       metadataAmbiguityLaneClarificationApplicable ||
       metadataGroundedMovementLaneApplicable ||
       metadataGroundedDocumentLaneApplicable ||
@@ -1616,6 +1632,9 @@ export function buildAssistantMcpDiscoveryTurnInput(
   if (organizationClarificationFollowupApplicable) {
     pushReason(reasonCodes, "mcp_discovery_organization_clarification_followup_from_followup_context");
   }
+  if (periodClarificationFollowupApplicable) {
+    pushReason(reasonCodes, "mcp_discovery_period_clarification_followup_from_followup_context");
+  }
   if (payoutSignal) {
     pushReason(reasonCodes, "mcp_discovery_payout_signal_detected");
   }

llm_normalizer/backend/tests/assistantMcpCatalogIndex.test.ts

@@ -71,6 +71,17 @@ describe("assistant MCP catalog index", () => {
     expect(primitives).toEqual(["resolve_entity_reference", "query_documents", "probe_coverage"]);
   });
 
+  it("treats all-time organization-scoped value-flow as catalog-compatible without inventing a fake period axis", () => {
+    const primitives = searchAssistantMcpCatalogPrimitivesByFactAxis({
+      business_fact_family: "value_flow",
+      action_family: "turnover",
+      has_subject_candidates: false,
+      required_axes: ["organization", "all_time_scope", "aggregate_axis", "amount", "coverage_target"]
+    });
+
+    expect(primitives).toEqual(["query_movements", "aggregate_by_axis", "probe_coverage"]);
+  });
+
   it("can search reviewed primitives directly from a confirmed document metadata surface", () => {
     const primitives = searchAssistantMcpCatalogPrimitivesByMetadataSurface({
       downstream_route_family: "document_evidence",
@@ -150,6 +161,25 @@ describe("assistant MCP catalog index", () => {
     ]);
   });
 
+  it("marks an all-time organization-scoped value-flow plan as catalog-compatible without requiring an explicit period", () => {
+    const plan = buildAssistantMcpDiscoveryPlan({
+      semanticDataNeed: "organization-scoped value-flow evidence",
+      turnMeaning: {
+        asked_domain_family: "counterparty_value",
+        asked_action_family: "turnover",
+        explicit_organization_scope: "ООО Альтернатива Плюс"
+      },
+      proposedPrimitives: ["query_movements", "aggregate_by_axis", "probe_coverage"],
+      requiredAxes: ["organization", "all_time_scope", "aggregate_axis", "amount", "coverage_target"]
+    });
+
+    const review = reviewAssistantMcpDiscoveryPlanAgainstCatalog(plan);
+
+    expect(review.review_status).toBe("catalog_compatible");
+    expect(review.reason_codes).toContain("catalog_plan_compatible");
+    expect(review.missing_axes_by_primitive).toEqual({});
+  });
+
   it("preserves source-summary evidence floors for metadata and coverage primitives", () => {
     expect(getAssistantMcpCatalogPrimitive("inspect_1c_metadata").evidence_floor).toBe("source_summary");
     expect(getAssistantMcpCatalogPrimitive("probe_coverage").evidence_floor).toBe("source_summary");

llm_normalizer/backend/tests/assistantMcpDiscoveryDataNeedGraph.test.ts

@@ -182,6 +182,29 @@ describe("assistant MCP discovery data need graph", () => {
     expect(result.reason_codes).toContain("data_need_graph_open_scope_total_needs_organization");
   });
 
+  it("treats colloquial open incoming total wording with filler words as an open-scope ask rather than a missing subject", () => {
+    const result = buildAssistantMcpDiscoveryDataNeedGraph({
+      semanticDataNeed: "counterparty value-flow evidence",
+      rawUtterance: "сколько вообще входящих денег было?",
+      turnMeaning: {
+        asked_domain_family: "counterparty_value",
+        asked_action_family: "turnover"
+      }
+    });
+
+    expect(result.business_fact_family).toBe("value_flow");
+    expect(result.subject_candidates).toEqual([]);
+    expect(result.clarification_gaps).toEqual(["organization", "period"]);
+    expect(result.proof_expectation).toBe("clarification_required");
+    expect(result.decomposition_candidates).toEqual([
+      "collect_scoped_movements",
+      "aggregate_checked_amounts",
+      "probe_coverage"
+    ]);
+    expect(result.reason_codes).toContain("data_need_graph_open_scope_total_without_subject");
+    expect(result.reason_codes).toContain("data_need_graph_open_scope_total_needs_organization");
+  });
+
   it("treats all-time open-scope totals as an open-ended period rather than a missing period", () => {
     const result = buildAssistantMcpDiscoveryDataNeedGraph({
       semanticDataNeed: "counterparty value-flow evidence",

llm_normalizer/backend/tests/assistantMcpDiscoveryPlanner.test.ts

@@ -779,4 +779,48 @@ describe("assistant MCP discovery planner", () => {
     expect(result.reason_codes).toContain("planner_selected_open_scope_value_flow_total_from_data_need_graph");
     expect(result.selected_chain_id).not.toBe("entity_resolution");
   });
+
+  it("treats all-time organization-scoped open totals as execution-ready without reintroducing a fake period gap", () => {
+    const result = planAssistantMcpDiscovery({
+      dataNeedGraph: {
+        schema_version: "assistant_data_need_graph_v1",
+        policy_owner: "assistantMcpDiscoveryDataNeedGraph",
+        subject_candidates: [],
+        business_fact_family: "value_flow",
+        action_family: "turnover",
+        aggregation_need: null,
+        time_scope_need: "all_time_scope",
+        comparison_need: null,
+        ranking_need: null,
+        proof_expectation: "coverage_checked_fact",
+        clarification_gaps: [],
+        decomposition_candidates: ["collect_scoped_movements", "aggregate_checked_amounts", "probe_coverage"],
+        forbidden_overclaim_flags: ["no_raw_model_claims", "no_unchecked_fact_totals"],
+        reason_codes: [
+          "data_need_graph_built",
+          "data_need_graph_open_scope_total_without_subject",
+          "data_need_graph_all_time_scope_hint"
+        ]
+      },
+      turnMeaning: {
+        asked_domain_family: "counterparty_value",
+        asked_action_family: "turnover",
+        explicit_organization_scope: "ООО Альтернатива Плюс"
+      }
+    });
+
+    expect(result.planner_status).toBe("ready_for_execution");
+    expect(result.semantic_data_need).toBe("organization-scoped value-flow evidence");
+    expect(result.selected_chain_id).toBe("value_flow");
+    expect(result.proposed_primitives).toEqual(["query_movements", "aggregate_by_axis", "probe_coverage"]);
+    expect(result.required_axes).toEqual([
+      "organization",
+      "all_time_scope",
+      "aggregate_axis",
+      "amount",
+      "coverage_target"
+    ]);
+    expect(result.catalog_review.review_status).toBe("catalog_compatible");
+    expect(result.reason_codes).toContain("planner_selected_open_scope_value_flow_total_from_data_need_graph");
+  });
 });

llm_normalizer/backend/tests/assistantMcpDiscoveryTurnInputAdapter.test.ts

@@ -1500,6 +1500,27 @@ describe("assistant MCP discovery turn input adapter", () => {
     expect(result.data_need_graph?.reason_codes).toContain("data_need_graph_open_scope_total_needs_organization");
   });
 
+  it("treats colloquial open incoming total wording with filler words as an open-scope ask that needs organization and period", () => {
+    const result = buildAssistantMcpDiscoveryTurnInput({
+      userMessage: "сколько вообще входящих денег было?"
+    });
+
+    expect(result.adapter_status).toBe("ready");
+    expect(result.should_run_discovery).toBe(true);
+    expect(result.semantic_data_need).toBe("counterparty value-flow evidence");
+    expect(result.turn_meaning_ref).toMatchObject({
+      asked_domain_family: "counterparty_value",
+      asked_action_family: "turnover",
+      unsupported_but_understood_family: "counterparty_value_or_turnover",
+      stale_replay_forbidden: true
+    });
+    expect(result.turn_meaning_ref?.explicit_entity_candidates).toBeUndefined();
+    expect(result.data_need_graph?.subject_candidates).toEqual([]);
+    expect(result.data_need_graph?.clarification_gaps).toEqual(["organization", "period"]);
+    expect(result.data_need_graph?.reason_codes).toContain("data_need_graph_open_scope_total_without_subject");
+    expect(result.data_need_graph?.reason_codes).toContain("data_need_graph_open_scope_total_needs_organization");
+  });
+
   it("resumes an open-scope incoming total from follow-up context when the user clarifies only the organization", () => {
     const orgName = "ООО Альтернатива Плюс";
     const result = buildAssistantMcpDiscoveryTurnInput({
@@ -1564,6 +1585,46 @@ describe("assistant MCP discovery turn input adapter", () => {
     expect(result.data_need_graph?.reason_codes).toContain("data_need_graph_all_time_scope_hint");
   });
 
+  it("resumes an open-scope total clarification loop from saved state when the user resolves the pending period with all-time wording", () => {
+    const orgName = "ООО Альтернатива Плюс";
+    const result = buildAssistantMcpDiscoveryTurnInput({
+      userMessage: "за все время",
+      assistantTurnMeaning: {
+        explicit_intent_candidate: "customer_revenue_and_payments"
+      },
+      followupContext: {
+        previous_discovery_loop_status: "awaiting_clarification",
+        previous_discovery_loop_selected_chain_id: "value_flow",
+        previous_discovery_loop_pending_axes: ["period"],
+        previous_discovery_loop_provided_axes: ["organization", "aggregate_axis", "amount", "coverage_target"],
+        previous_discovery_loop_asked_domain_family: "counterparty_value",
+        previous_discovery_loop_asked_action_family: "turnover",
+        previous_discovery_loop_unsupported_family: "counterparty_value_or_turnover",
+        previous_filters: {
+          organization: orgName
+        }
+      }
+    });
+
+    expect(result.adapter_status).toBe("ready");
+    expect(result.should_run_discovery).toBe(true);
+    expect(result.reason_codes).toContain("mcp_discovery_all_time_scope_signal_detected");
+    expect(result.reason_codes).toContain("mcp_discovery_period_clarification_followup_from_followup_context");
+    expect(result.reason_codes).not.toContain("mcp_discovery_not_applicable_for_supported_exact_turn");
+    expect(result.turn_meaning_ref).toMatchObject({
+      asked_domain_family: "counterparty_value",
+      asked_action_family: "turnover",
+      explicit_organization_scope: orgName,
+      unsupported_but_understood_family: "counterparty_value_or_turnover",
+      stale_replay_forbidden: true
+    });
+    expect(result.turn_meaning_ref?.explicit_date_scope).toBeUndefined();
+    expect(result.data_need_graph?.clarification_gaps).toEqual([]);
+    expect(result.data_need_graph?.time_scope_need).toBe("all_time_scope");
+    expect(result.data_need_graph?.reason_codes).toContain("data_need_graph_open_scope_total_without_subject");
+    expect(result.data_need_graph?.reason_codes).toContain("data_need_graph_all_time_scope_hint");
+  });
+
   it("resumes an open-scope ranking from follow-up context when the user clarifies only the organization", () => {
     const orgName = "ООО Альтернатива Плюс";
     const result = buildAssistantMcpDiscoveryTurnInput({