FN-7040: align task-detail model displays

Unify task-detail model resolution so Chat, Agent Log, and Workflow settings display the same effective model.

- Add a shared dashboard resolver for executor, validator, and planning model display precedence.
- Reuse the resolver in TaskDetailModal and WorkflowResultsTab instead of duplicating fallback logic.
- Cover log marker, assigned runtime model, task override, and settings fallback cases with focused tests.
- Add a patch changeset for the published Fusion package.

Files changed:
 .../FN-7040-align-task-detail-model-display.md     |   7 +
 .../dashboard/app/components/TaskDetailModal.tsx   | 158 +--------------------
 .../app/components/WorkflowResultsTab.tsx          |  15 +-
 .../__tests__/WorkflowResultsTab.test.tsx          |  74 +++++++++-
 .../__tests__/effective-model-resolution.test.ts   | 111 +++++++++++++++
 .../app/components/effective-model-resolution.ts   | 149 +++++++++++++++++++
 6 files changed, 354 insertions(+), 160 deletions(-)

Fusion-Task-Id: FN-7040

Fusion-Task-Lineage: 05ec3ae7-5063-4219-a515-da16168e9a19

.changeset/FN-7040-align-task-detail-model-display.md

@@ -0,0 +1,7 @@
+---
+"@runfusion/fusion": patch
+---
+
+summary: Keep task-detail Chat and Workflow tabs aligned on displayed model names.
+category: fix
+dev: Extracts dashboard effective model display resolution for shared Chat, Agent Log, and Workflow tab use.

packages/dashboard/app/components/TaskDetailModal.tsx

@@ -10,7 +10,7 @@ import ReactMarkdown from "react-markdown";
 import type { Components } from "react-markdown";
 import remarkGfm from "remark-gfm";
 import { sharedRehypePlugins, createMermaidCodeComponent } from "./markdownPipeline";
-import type { Task, TaskDetail, TaskAttachment, Column, ColumnId, MergeResult, Settings, GlobalSettings, AgentLogEntry, Agent, TaskPriority, TaskSourceIssue, WorkflowStepResult, GithubIssueAction } from "@fusion/core";
+import type { Task, TaskDetail, TaskAttachment, Column, ColumnId, MergeResult, Settings, GlobalSettings, Agent, TaskPriority, TaskSourceIssue, WorkflowStepResult, GithubIssueAction } from "@fusion/core";
 import {
   DEFAULT_TASK_PRIORITY,
   REPO_OVERRIDE_RE,
@@ -18,9 +18,6 @@ import {
   VALID_TRANSITIONS,
   isColumn,
   getErrorMessage,
-  resolveTaskExecutionModel,
-  resolveTaskPlanningModel,
-  resolveTaskValidatorModel,
 } from "@fusion/core";
 import { isNearDuplicateCanonicalInactive } from "../../../core/src/near-duplicate-canonical";
 import { resolveEffectiveAutoMerge } from "../../../core/src/task-merge";
@@ -66,13 +63,8 @@ import { getTaskAgeStalenessCopy } from "../utils/taskAgeStalenessCopy";
 import { findInReviewStallLogEntry, IN_REVIEW_STALL_LOG_REGEX } from "../utils/findInReviewStallLogEntry";
 import { getTaskLogEntryAction, getTaskLogEntryOutcome } from "../utils/taskLogEntryDisplay";
 import { getRelativeTimeBucket } from "../utils/relativeTimeAgo";
+import { ACTIVE_STATUSES, resolveEffectiveExecutor, resolveEffectivePlanning, resolveEffectiveValidator, type ModelSelection } from "./effective-model-resolution";
 
-interface ModelSelection {
-  provider?: string;
-  modelId?: string;
-}
-
-const ACTIVE_STATUSES = new Set(["planning", "researching", "executing", "finalizing", "merging", "merging-fix"]);
 const STALE_PAUSED_REVIEW_LOG_REGEX = /^Stale paused review surfaced \[([^\]]+)\]/;
 const EMPTY_MARKDOWN_CHILD_SEPARATOR = "";
 const STRING_OBJECT_TAG = "[object String]";
@@ -107,35 +99,6 @@ const markdownLinkifyComponents: Components = {
   code: createMermaidCodeComponent("task-detail-mermaid-diagram", markdownLinkifyCodeComponent),
 };
 
-/**
- * Resolve the effective executor model following the engine's resolution order:
- * 1. Per-task modelProvider/modelId (both must be set)
- * 2. Project/global execution lane fallback
- */
-function extractExecutorModelFromLog(entries: AgentLogEntry[]): { provider: string; modelId: string } | null {
-  let result: { provider: string; modelId: string } | null = null;
-  entries.forEach((entry) => {
-    if (entry.agent !== "executor" || entry.type !== "text") return;
-    const match = entry.text.match(/^Executor using model: (.+?)\/(.+)$/);
-    if (match) {
-      result = { provider: match[1], modelId: match[2] };
-    }
-  });
-  return result;
-}
-
-function extractReviewerModelFromLog(entries: AgentLogEntry[]): { provider: string; modelId: string } | null {
-  let result: { provider: string; modelId: string } | null = null;
-  entries.forEach((entry) => {
-    if (entry.agent !== "reviewer" || entry.type !== "text") return;
-    const match = entry.text.match(/^Reviewer using model: (.+?)\/(.+)$/);
-    if (match) {
-      result = { provider: match[1], modelId: match[2] };
-    }
-  });
-  return result;
-}
-
 function hasUsableTrackingTitle(task: { title?: string | null; description?: string | null }): boolean {
   if ((task.title ?? "").trim().length > 0) {
     return true;
@@ -149,121 +112,6 @@ function hasUsableTrackingTitle(task: { title?: string | null; description?: str
   return Boolean(firstMeaningfulLine);
 }
 
-function extractAssignedRuntimeModel(agent: Agent | null | undefined): ModelSelection {
-  const runtimeConfig = (agent?.runtimeConfig ?? undefined) as Record<string, unknown> | undefined;
-  const model = isStringValue(runtimeConfig?.model) ? runtimeConfig.model.trim() : "";
-  if (model) {
-    const slashIdx = model.indexOf("/");
-    if (slashIdx > 0 && slashIdx < model.length - 1) {
-      return {
-        provider: model.slice(0, slashIdx),
-        modelId: model.slice(slashIdx + 1),
-      };
-    }
-  }
-
-  const provider = isStringValue(runtimeConfig?.modelProvider) ? runtimeConfig.modelProvider.trim() : "";
-  const modelId = isStringValue(runtimeConfig?.modelId) ? runtimeConfig.modelId.trim() : "";
-  return {
-    provider: provider || undefined,
-    modelId: modelId || undefined,
-  };
-}
-
-/**
- * Resolve the effective executor model following the engine's resolution order:
- * 1. Runtime executor model from agent log marker
- * 2. Assigned agent runtime model (active runs only)
- * 3. Per-task modelProvider/modelId override
- * 4. Project/global execution lane fallback
- */
-function resolveEffectiveExecutor(
-  task: Task | TaskDetail,
-  logEntries: AgentLogEntry[],
-  assignedAgent: Agent | null,
-  settings?: Settings,
-): ModelSelection {
-  const fromLog = extractExecutorModelFromLog(logEntries);
-  if (fromLog) return fromLog;
-
-  if (ACTIVE_STATUSES.has(task.status ?? "") || task.column === "in-progress") {
-    const assignedModel = extractAssignedRuntimeModel(assignedAgent);
-    if (assignedModel.provider && assignedModel.modelId) {
-      return assignedModel;
-    }
-  }
-
-  return resolveTaskExecutionModel(task, settings);
-}
-
-/**
- * Resolve the effective validator model following the engine's resolution order:
- * 1. Runtime reviewer model from agent log marker
- * 2. Assigned agent runtime model (active runs only)
- * 3. Per-task validatorModelProvider/validatorModelId override
- * 4. Project/global validator lane fallback
- */
-function resolveEffectiveValidator(
-  task: Task | TaskDetail,
-  logEntries: AgentLogEntry[],
-  assignedAgent: Agent | null,
-  settings?: Settings,
-): ModelSelection {
-  const fromLog = extractReviewerModelFromLog(logEntries);
-  if (fromLog) return fromLog;
-
-  if (ACTIVE_STATUSES.has(task.status ?? "") || task.column === "in-progress") {
-    const assignedModel = extractAssignedRuntimeModel(assignedAgent);
-    if (assignedModel.provider && assignedModel.modelId) {
-      return assignedModel;
-    }
-  }
-
-  return resolveTaskValidatorModel(task, settings);
-}
-
-/**
- * Extract planning model from agent log entries.
- * Looks for text entries with agent role "triage" matching the pattern:
- *   "Triage using model: <provider>/<modelId>"
- * Returns the latest match, or null if none found.
- */
-function extractPlanningModelFromLog(entries: AgentLogEntry[]): { provider: string; modelId: string } | null {
-  // Iterate in chronological order; last match wins
-  let result: { provider: string; modelId: string } | null = null;
-  entries.forEach((entry) => {
-    if (entry.agent !== "triage" || entry.type !== "text") return;
-    const match = entry.text.match(/^Triage using model: (.+?)\/(.+)$/);
-    if (match) {
-      result = { provider: match[1], modelId: match[2] };
-    }
-  });
-  return result;
-}
-
-/**
- * Resolve the effective planning model following the resolution order:
- * 1. Per-task planningModelProvider/planningModelId override
- * 2. Runtime triage model from agent log marker (if present)
- * 3. Project/global planning lane fallback
- */
-function resolveEffectivePlanning(
-  task: Task | TaskDetail,
-  logEntries: AgentLogEntry[],
-  settings?: Settings,
-): ModelSelection {
-  // 1. Per-task override takes precedence
-  if (task.planningModelProvider && task.planningModelId) {
-    return { provider: task.planningModelProvider, modelId: task.planningModelId };
-  }
-  // 2. Runtime triage model from agent log marker
-  const fromLog = extractPlanningModelFromLog(logEntries);
-  if (fromLog) {
-    return fromLog;
-  }
-  return resolveTaskPlanningModel(task, settings);
-}
-
 function toTaskChatModelInfo(model: ModelSelection): { provider: string; modelId?: string } | null {
   if (!model.provider) return null;
   return model.modelId ? { provider: model.provider, modelId: model.modelId } : { provider: model.provider };
@@ -3292,6 +3140,8 @@ export function TaskDetailContent({
                 taskStatus={task.status}
                 taskPausedReason={task.pausedReason}
                 settings={settings}
+                agentLogEntries={agentLogEntries}
+                assignedAgent={assignedAgent}
                 onEditWorkflow={onOpenWorkflowEditor}
               />
             </div>

packages/dashboard/app/components/WorkflowResultsTab.tsx

@@ -11,8 +11,8 @@ import { Check, ChevronDown, ChevronRight, ChevronUp, Maximize2, Pencil, X } fro
 import ReactMarkdown from "react-markdown";
 import remarkGfm from "remark-gfm";
 import { ReactFlow, ReactFlowProvider } from "@xyflow/react";
-import type { AgentLogEntry, Settings, Task, TaskDetail, WorkflowDefinition, WorkflowStep, WorkflowStepResult, ResolvedWorkflowOptionalStep } from "@fusion/core";
+import type { Agent, AgentLogEntry, Settings, Task, TaskDetail, WorkflowDefinition, WorkflowStep, WorkflowStepResult, ResolvedWorkflowOptionalStep } from "@fusion/core";
-import { getErrorMessage, resolveTaskExecutionModel, resolveTaskPlanningModel, resolveTaskValidatorModel } from "@fusion/core";
+import { getErrorMessage } from "@fusion/core";
 import { approveTaskWorkflowCli, fetchBoardWorkflows, fetchWorkflow, fetchWorkflows, fetchWorkflowSteps, fetchTaskWorkflow, fetchWorkflowOptionalSteps, selectTaskWorkflow, submitTaskWorkflowInput } from "../api";
 import { WorkflowSelector } from "./WorkflowSelector";
 import { phaseBadge } from "./workflow-phase-badge";
@@ -22,6 +22,7 @@ import { irToFlow } from "./workflow-flow-mapping";
 import { workflowNodeTypes } from "./nodes/WorkflowNodeTypes";
 import type { Components } from "react-markdown";
 import { linkifyFilePaths, linkifyReactChildren } from "../utils/filePathLinkify";
+import { resolveEffectiveExecutor, resolveEffectivePlanning, resolveEffectiveValidator } from "./effective-model-resolution";
 
 // Markdown rendering components for workflow output
 const markdownComponents: Components = {
@@ -59,6 +60,8 @@ interface WorkflowResultsTabProps {
   taskStatus?: string;
   taskPausedReason?: string;
   settings?: Settings;
+  agentLogEntries?: AgentLogEntry[];
+  assignedAgent?: Agent | null;
   onEditWorkflow?: () => void;
   /** U5 (R20): called after a workflow switch affects board placement
    *  (any reconciliation result) so the board can refresh before the SSE
@@ -310,6 +313,8 @@ export function WorkflowResultsTab({
   taskStatus,
   taskPausedReason,
   settings,
+  agentLogEntries = [],
+  assignedAgent = null,
   onEditWorkflow,
   onWorkflowReconciled,
 }: WorkflowResultsTabProps) {
@@ -608,9 +613,9 @@ export function WorkflowResultsTab({
   const completedStepCount = useMemo(() => results.filter((result) => ["passed", "skipped", "failed", "advisory_failure"].includes(result.status)).length, [results]);
   const graphWorkflow = graphCacheKey ? workflowGraphCache[graphCacheKey] : undefined;
   const graphFlow = useMemo(() => (graphWorkflow ? irToFlow(graphWorkflow) : null), [graphWorkflow]);
-  const effectiveExecutor = useMemo(() => (task ? resolveTaskExecutionModel(task, settings) : undefined), [task, settings]);
+  const effectiveExecutor = useMemo(() => (task ? resolveEffectiveExecutor(task, agentLogEntries, assignedAgent, settings) : undefined), [agentLogEntries, assignedAgent, task, settings]);
-  const effectiveValidator = useMemo(() => (task ? resolveTaskValidatorModel(task, settings) : undefined), [task, settings]);
+  const effectiveValidator = useMemo(() => (task ? resolveEffectiveValidator(task, agentLogEntries, assignedAgent, settings) : undefined), [agentLogEntries, assignedAgent, task, settings]);
-  const effectivePlanning = useMemo(() => (task ? resolveTaskPlanningModel(task, settings) : undefined), [task, settings]);
+  const effectivePlanning = useMemo(() => (task ? resolveEffectivePlanning(task, agentLogEntries, settings) : undefined), [agentLogEntries, task, settings]);
 
   const renderEditor = () => {
     if (!canEdit || !isEditing || loading) {

packages/dashboard/app/components/__tests__/WorkflowResultsTab.test.tsx

@@ -4,7 +4,8 @@ import { WorkflowResultsTab } from "../WorkflowResultsTab";
 import * as api from "../../api";
 import { useAgentLogs } from "../../hooks/useAgentLogs";
 import { loadAllAppCss, loadAllAppCssBaseOnly } from "../../test/cssFixture";
-import type { AgentLogEntry, Settings, Task, WorkflowDefinition, WorkflowStep, WorkflowStepResult } from "@fusion/core";
+import type { Agent, AgentLogEntry, Settings, Task, WorkflowDefinition, WorkflowStep, WorkflowStepResult } from "@fusion/core";
+import { resolveEffectiveExecutor, resolveEffectivePlanning, resolveEffectiveValidator } from "../effective-model-resolution";
 
 vi.mock("@xyflow/react", () => ({
   ReactFlow: ({ nodes = [], edges = [] }: { nodes?: unknown[]; edges?: unknown[] }) => (
@@ -442,6 +443,77 @@ describe("WorkflowResultsTab", () => {
     expect(onWorkflowReconciled).toHaveBeenCalledTimes(1);
   });
 
+  it("shows Workflow model settings that match the Chat effective model resolver for runtime markers", async () => {
+    const activeTask = {
+      ...baseTask,
+      status: "executing",
+      column: "in-progress",
+      modelProvider: "configured-executor",
+      modelId: "configured-executor-model",
+      validatorModelProvider: "configured-reviewer",
+      validatorModelId: "configured-reviewer-model",
+      planningModelProvider: null,
+      planningModelId: null,
+    } as Task;
+    const agentLogEntries: AgentLogEntry[] = [
+      {
+        timestamp: "2026-06-25T00:00:00Z",
+        taskId: "FN-001",
+        agent: "executor",
+        type: "text",
+        text: "Executor using model: runtime-executor/runtime-executor-model",
+      },
+      {
+        timestamp: "2026-06-25T00:00:01Z",
+        taskId: "FN-001",
+        agent: "reviewer",
+        type: "text",
+        text: "Reviewer using model: runtime-reviewer/runtime-reviewer-model",
+      },
+      {
+        timestamp: "2026-06-25T00:00:02Z",
+        taskId: "FN-001",
+        agent: "triage",
+        type: "text",
+        text: "Triage using model: runtime-planning/runtime-planning-model",
+      },
+    ];
+    const assignedAgent = {
+      id: "agent-runtime",
+      name: "Runtime Agent",
+      role: "executor",
+      state: "running",
+      createdAt: "2026-06-25T00:00:00Z",
+      updatedAt: "2026-06-25T00:00:00Z",
+      metadata: {},
+      runtimeConfig: { model: "assigned-provider/assigned-model" },
+    } as Agent;
+
+    render(
+      <WorkflowResultsTab
+        taskId="FN-001"
+        task={activeTask}
+        settings={mockSettings}
+        results={mockResults}
+        agentLogEntries={agentLogEntries}
+        assignedAgent={assignedAgent}
+      />,
+    );
+
+    await screen.findByTestId("workflow-state-summary-name");
+    fireEvent.click(screen.getByTestId("workflow-model-settings-toggle"));
+
+    const chatExecutor = resolveEffectiveExecutor(activeTask, agentLogEntries, assignedAgent, mockSettings);
+    const chatReviewer = resolveEffectiveValidator(activeTask, agentLogEntries, assignedAgent, mockSettings);
+    const chatPlanning = resolveEffectivePlanning(activeTask, agentLogEntries, mockSettings);
+
+    await waitFor(() => expect(screen.getByTestId("workflow-model-setting-executor")).toHaveTextContent(`${chatExecutor.provider}/${chatExecutor.modelId}`));
+    expect(screen.getByTestId("workflow-model-setting-reviewer")).toHaveTextContent(`${chatReviewer.provider}/${chatReviewer.modelId}`);
+    expect(screen.getByTestId("workflow-model-setting-planning")).toHaveTextContent(`${chatPlanning.provider}/${chatPlanning.modelId}`);
+    expect(screen.getByTestId("workflow-model-setting-executor")).not.toHaveTextContent("configured-executor/configured-executor-model");
+    expect(screen.getByTestId("workflow-model-setting-reviewer")).not.toHaveTextContent("configured-reviewer/configured-reviewer-model");
+  });
+
   it("shows effective model settings and default fallbacks", async () => {
     const { rerender } = render(
       <WorkflowResultsTab taskId="FN-001" task={baseTask} settings={mockSettings} results={mockResults} />,

packages/dashboard/app/components/__tests__/effective-model-resolution.test.ts

@@ -0,0 +1,111 @@
+import { describe, expect, it } from "vitest";
+import type { Agent, AgentLogEntry, Settings, Task } from "@fusion/core";
+import {
+  extractAssignedRuntimeModel,
+  extractExecutorModelFromLog,
+  extractPlanningModelFromLog,
+  extractReviewerModelFromLog,
+  resolveEffectiveExecutor,
+  resolveEffectivePlanning,
+  resolveEffectiveValidator,
+} from "../effective-model-resolution";
+
+const baseTask: Task = {
+  id: "FN-7040",
+  title: "Align models",
+  status: "todo",
+  column: "todo",
+  createdAt: "2026-06-25T00:00:00Z",
+  updatedAt: "2026-06-25T00:00:00Z",
+  dependencies: [],
+  outputBranch: null,
+  prompt: "",
+  baseBranch: null,
+  assignee: null,
+  labels: [],
+  priority: "normal",
+  autoMerge: false,
+  autoMergeMode: "squash",
+  paused: false,
+  userPaused: false,
+} as Task;
+
+const settings: Settings = {
+  executionProvider: "settings-executor",
+  executionModelId: "settings-executor-model",
+  validatorProvider: "settings-reviewer",
+  validatorModelId: "settings-reviewer-model",
+  planningProvider: "settings-planning",
+  planningModelId: "settings-planning-model",
+} as Settings;
+
+function log(agent: AgentLogEntry["agent"], text: string): AgentLogEntry {
+  return {
+    timestamp: "2026-06-25T00:00:00Z",
+    taskId: "FN-7040",
+    agent,
+    type: "text",
+    text,
+  };
+}
+
+function runtimeAgent(runtimeConfig?: Record<string, unknown>): Agent {
+  return {
+    id: "agent-1",
+    name: "Executor",
+    role: "executor",
+    state: "running",
+    createdAt: "2026-06-25T00:00:00Z",
+    updatedAt: "2026-06-25T00:00:00Z",
+    metadata: {},
+    runtimeConfig,
+  } as Agent;
+}
+
+describe("effective model resolution", () => {
+  it("extracts the latest role-specific model marker from agent logs", () => {
+    const entries = [
+      log("executor", "Executor using model: old-provider/old-model"),
+      log("reviewer", "Reviewer using model: reviewer-provider/reviewer-model"),
+      log("triage", "Triage using model: triage-provider/triage-model"),
+      log("executor", "Executor using model: new-provider/new-model"),
+    ];
+
+    expect(extractExecutorModelFromLog(entries)).toEqual({ provider: "new-provider", modelId: "new-model" });
+    expect(extractReviewerModelFromLog(entries)).toEqual({ provider: "reviewer-provider", modelId: "reviewer-model" });
+    expect(extractPlanningModelFromLog(entries)).toEqual({ provider: "triage-provider", modelId: "triage-model" });
+  });
+
+  it("parses assigned-agent runtime models from combined or split fields", () => {
+    expect(extractAssignedRuntimeModel(runtimeAgent({ model: "runtime-provider/runtime-model" }))).toEqual({ provider: "runtime-provider", modelId: "runtime-model" });
+    expect(extractAssignedRuntimeModel(runtimeAgent({ modelProvider: "split-provider", modelId: "split-model" }))).toEqual({ provider: "split-provider", modelId: "split-model" });
+    expect(extractAssignedRuntimeModel(runtimeAgent({ model: "malformed" }))).toEqual({ provider: undefined, modelId: undefined });
+    expect(extractAssignedRuntimeModel(null)).toEqual({ provider: undefined, modelId: undefined });
+  });
+
+  it("resolves executor from log marker before assigned runtime, task override, and settings fallback", () => {
+    const task = { ...baseTask, status: "executing", column: "in-progress", modelProvider: "task-provider", modelId: "task-model" } as Task;
+
+    expect(resolveEffectiveExecutor(task, [log("executor", "Executor using model: log-provider/log-model")], runtimeAgent({ model: "runtime-provider/runtime-model" }), settings)).toEqual({ provider: "log-provider", modelId: "log-model" });
+    expect(resolveEffectiveExecutor(task, [], runtimeAgent({ model: "runtime-provider/runtime-model" }), settings)).toEqual({ provider: "runtime-provider", modelId: "runtime-model" });
+    expect(resolveEffectiveExecutor({ ...task, status: "todo", column: "todo" } as Task, [], runtimeAgent({ model: "runtime-provider/runtime-model" }), settings)).toEqual({ provider: "task-provider", modelId: "task-model" });
+    expect(resolveEffectiveExecutor({ ...baseTask, modelProvider: null, modelId: null } as Task, [], null, settings)).toEqual({ provider: "settings-executor", modelId: "settings-executor-model" });
+  });
+
+  it("resolves validator from reviewer log marker before assigned runtime, task override, and settings fallback", () => {
+    const task = { ...baseTask, status: "executing", column: "in-progress", validatorModelProvider: "task-reviewer", validatorModelId: "task-reviewer-model" } as Task;
+
+    expect(resolveEffectiveValidator(task, [log("reviewer", "Reviewer using model: log-reviewer/log-reviewer-model")], runtimeAgent({ model: "runtime-provider/runtime-model" }), settings)).toEqual({ provider: "log-reviewer", modelId: "log-reviewer-model" });
+    expect(resolveEffectiveValidator(task, [], runtimeAgent({ model: "runtime-provider/runtime-model" }), settings)).toEqual({ provider: "runtime-provider", modelId: "runtime-model" });
+    expect(resolveEffectiveValidator({ ...task, status: "done", column: "done" } as Task, [], runtimeAgent({ model: "runtime-provider/runtime-model" }), settings)).toEqual({ provider: "task-reviewer", modelId: "task-reviewer-model" });
+    expect(resolveEffectiveValidator({ ...baseTask, validatorModelProvider: null, validatorModelId: null } as Task, [], null, settings)).toEqual({ provider: "settings-reviewer", modelId: "settings-reviewer-model" });
+  });
+
+  it("resolves planning from task override before triage log marker and settings fallback", () => {
+    const task = { ...baseTask, planningModelProvider: "task-planning", planningModelId: "task-planning-model" } as Task;
+
+    expect(resolveEffectivePlanning(task, [log("triage", "Triage using model: log-planning/log-planning-model")], settings)).toEqual({ provider: "task-planning", modelId: "task-planning-model" });
+    expect(resolveEffectivePlanning({ ...baseTask, planningModelProvider: null, planningModelId: null } as Task, [log("triage", "Triage using model: log-planning/log-planning-model")], settings)).toEqual({ provider: "log-planning", modelId: "log-planning-model" });
+    expect(resolveEffectivePlanning({ ...baseTask, planningModelProvider: null, planningModelId: null } as Task, [], settings)).toEqual({ provider: "settings-planning", modelId: "settings-planning-model" });
+  });
+});

packages/dashboard/app/components/effective-model-resolution.ts

@@ -0,0 +1,149 @@
+import type { Agent, AgentLogEntry, ResolvedModelSelection, Settings, Task, TaskDetail } from "@fusion/core";
+import { resolveTaskExecutionModel, resolveTaskPlanningModel, resolveTaskValidatorModel } from "@fusion/core";
+
+export type ModelSelection = ResolvedModelSelection;
+
+export const ACTIVE_STATUSES = new Set(["planning", "researching", "executing", "finalizing", "merging", "merging-fix"]);
+
+const STRING_OBJECT_TAG = "[object String]";
+
+function isStringValue(value: unknown): value is string {
+  return Object.prototype.toString.call(value) === STRING_OBJECT_TAG;
+}
+
+/*
+FNXC:ModelResolution 2026-06-25-00:00:
+FN-7040 requires the Chat tab, Agent Log header, and Workflow tab Model settings to share one effective model resolver so runtime log markers, active assigned-agent runtime models, task overrides, and settings fallbacks never diverge between task-detail surfaces.
+*/
+export function extractExecutorModelFromLog(entries: AgentLogEntry[]): { provider: string; modelId: string } | null {
+  let result: { provider: string; modelId: string } | null = null;
+  entries.forEach((entry) => {
+    if (entry.agent !== "executor" || entry.type !== "text") return;
+    const match = entry.text.match(/^Executor using model: (.+?)\/(.+)$/);
+    if (match) {
+      result = { provider: match[1], modelId: match[2] };
+    }
+  });
+  return result;
+}
+
+export function extractReviewerModelFromLog(entries: AgentLogEntry[]): { provider: string; modelId: string } | null {
+  let result: { provider: string; modelId: string } | null = null;
+  entries.forEach((entry) => {
+    if (entry.agent !== "reviewer" || entry.type !== "text") return;
+    const match = entry.text.match(/^Reviewer using model: (.+?)\/(.+)$/);
+    if (match) {
+      result = { provider: match[1], modelId: match[2] };
+    }
+  });
+  return result;
+}
+
+export function extractAssignedRuntimeModel(agent: Agent | null | undefined): ModelSelection {
+  const runtimeConfig = (agent?.runtimeConfig ?? undefined) as Record<string, unknown> | undefined;
+  const model = isStringValue(runtimeConfig?.model) ? runtimeConfig.model.trim() : "";
+  if (model) {
+    const slashIdx = model.indexOf("/");
+    if (slashIdx > 0 && slashIdx < model.length - 1) {
+      return {
+        provider: model.slice(0, slashIdx),
+        modelId: model.slice(slashIdx + 1),
+      };
+    }
+  }
+
+  const provider = isStringValue(runtimeConfig?.modelProvider) ? runtimeConfig.modelProvider.trim() : "";
+  const modelId = isStringValue(runtimeConfig?.modelId) ? runtimeConfig.modelId.trim() : "";
+  return {
+    provider: provider || undefined,
+    modelId: modelId || undefined,
+  };
+}
+
+/**
+ * Resolve the effective executor model following the dashboard display resolution order:
+ * 1. Runtime executor model from agent log marker
+ * 2. Assigned agent runtime model (active runs only)
+ * 3. Per-task modelProvider/modelId override
+ * 4. Project/global execution lane fallback
+ */
+export function resolveEffectiveExecutor(
+  task: Task | TaskDetail,
+  logEntries: AgentLogEntry[],
+  assignedAgent: Agent | null,
+  settings?: Settings,
+): ModelSelection {
+  const fromLog = extractExecutorModelFromLog(logEntries);
+  if (fromLog) return fromLog;
+
+  if (ACTIVE_STATUSES.has(task.status ?? "") || task.column === "in-progress") {
+    const assignedModel = extractAssignedRuntimeModel(assignedAgent);
+    if (assignedModel.provider && assignedModel.modelId) {
+      return assignedModel;
+    }
+  }
+
+  return resolveTaskExecutionModel(task, settings);
+}
+
+/**
+ * Resolve the effective validator model following the dashboard display resolution order.
+ * Merger display intentionally reuses this reviewer/validator lane in TaskDetailModal.
+ */
+export function resolveEffectiveValidator(
+  task: Task | TaskDetail,
+  logEntries: AgentLogEntry[],
+  assignedAgent: Agent | null,
+  settings?: Settings,
+): ModelSelection {
+  const fromLog = extractReviewerModelFromLog(logEntries);
+  if (fromLog) return fromLog;
+
+  if (ACTIVE_STATUSES.has(task.status ?? "") || task.column === "in-progress") {
+    const assignedModel = extractAssignedRuntimeModel(assignedAgent);
+    if (assignedModel.provider && assignedModel.modelId) {
+      return assignedModel;
+    }
+  }
+
+  return resolveTaskValidatorModel(task, settings);
+}
+
+/**
+ * Extract planning model from agent log entries.
+ * Looks for text entries with agent role "triage" matching the pattern:
+ *   "Triage using model: <provider>/<modelId>"
+ * Returns the latest match, or null if none found.
+ */
+export function extractPlanningModelFromLog(entries: AgentLogEntry[]): { provider: string; modelId: string } | null {
+  let result: { provider: string; modelId: string } | null = null;
+  entries.forEach((entry) => {
+    if (entry.agent !== "triage" || entry.type !== "text") return;
+    const match = entry.text.match(/^Triage using model: (.+?)\/(.+)$/);
+    if (match) {
+      result = { provider: match[1], modelId: match[2] };
+    }
+  });
+  return result;
+}
+
+/**
+ * Resolve the effective planning model following the preserved dashboard order:
+ * 1. Per-task planningModelProvider/planningModelId override
+ * 2. Runtime triage model from agent log marker
+ * 3. Project/global planning lane fallback
+ */
+export function resolveEffectivePlanning(
+  task: Task | TaskDetail,
+  logEntries: AgentLogEntry[],
+  settings?: Settings,
+): ModelSelection {
+  if (task.planningModelProvider && task.planningModelId) {
+    return { provider: task.planningModelProvider, modelId: task.planningModelId };
+  }
+  const fromLog = extractPlanningModelFromLog(logEntries);
+  if (fromLog) {
+    return fromLog;
+  }
+  return resolveTaskPlanningModel(task, settings);
+}