murashit_codex-panel/tests/runtime/runtime-settings.test.ts

import { describe, expect, it } from "vitest";

import type { ConfigReadResponse } from "../../src/generated/app-server/v2/ConfigReadResponse";
import type { Model } from "../../src/generated/app-server/v2/Model";
import type { Thread } from "../../src/generated/app-server/v2/Thread";
import { createAppServerDiagnostics } from "../../src/app-server/compatibility";
import {
  compactModelLabel,
  compactReasoningEffortLabel,
  modelOverrideMessage,
  parseModelOverride,
  parseReasoningEffortOverride,
  reasoningEffortOverrideMessage,
} from "../../src/runtime/settings";
import {
  autoReviewActive,
  currentApprovalsReviewer,
  currentModel,
  currentReasoningEffort,
  currentServiceTier,
  fastModeActive,
  fastServiceTierRequestValue,
  fastModeLabel,
  requestedOrConfiguredServiceTier,
  requestedTurnRuntimeSettings,
  resetRuntimeSettingToConfig,
  pendingRuntimeSettingPayload,
  setPendingRuntimeSetting,
  serviceTierLabel,
  type RuntimeSnapshot,
} from "../../src/runtime/state";
import { readRuntimeConfig } from "../../src/runtime/config";
import { contextSummary, effectiveConfigSections, rateLimitSummary } from "../../src/runtime/view";
import {
  applySharedAppServerMetadata,
  applySharedModels,
  applySharedThreadList,
  cachedSharedAppServerMetadata,
  cachedSharedThreadList,
  createSharedAppServerState,
} from "../../src/runtime/shared-app-server-state";

describe("runtime settings", () => {
  it("parses model overrides", () => {
    expect(parseModelOverride("gpt-5.5")).toBe("gpt-5.5");
    expect(parseModelOverride(" default ")).toBeNull();
    expect(parseModelOverride("")).toBeUndefined();
  });

  it("keeps shared app-server cache snapshots detached from caller-owned arrays", () => {
    const sourceThreads = [threadFixture("thread-1")];
    const threadState = applySharedThreadList(createSharedAppServerState(), sourceThreads);
    sourceThreads.push(threadFixture("thread-2"));

    const cachedThreads = cachedSharedThreadList(threadState);
    expect(cachedThreads?.map((thread) => thread.id)).toEqual(["thread-1"]);

    const mutableCachedThreads = cachedThreads as Thread[];
    mutableCachedThreads.push(threadFixture("thread-3"));
    expect(cachedSharedThreadList(threadState)?.map((thread) => thread.id)).toEqual(["thread-1"]);

    const sourceModels = [modelFixture("gpt-5.5")];
    const modelState = applySharedModels(createSharedAppServerState(), sourceModels);
    sourceModels.push(modelFixture("gpt-5.6"));
    expect(modelState.availableModels.map((model) => model.model)).toEqual(["gpt-5.5"]);

    const metadataState = applySharedAppServerMetadata(createSharedAppServerState(), {
      effectiveConfig: null,
      availableModels: sourceModels,
      availableSkills: [{ name: "skill", description: "", path: "/tmp/skill", scope: "repo", enabled: true }],
      rateLimit: null,
      appServerDiagnostics: {
        ...createAppServerDiagnostics(),
        mcpServers: [{ name: "server", startupStatus: "ready", authStatus: null, toolCount: 1, message: null }],
      },
    });
    sourceModels.push(modelFixture("gpt-5.7"));
    const cachedMetadata = cachedSharedAppServerMetadata(metadataState);
    expect(cachedMetadata?.availableModels.map((model) => model.model)).toEqual(["gpt-5.5", "gpt-5.6"]);
  });

  it("parses reasoning effort overrides", () => {
    expect(parseReasoningEffortOverride("high")).toBe("high");
    expect(parseReasoningEffortOverride("default")).toBeNull();
    expect(parseReasoningEffortOverride("extreme")).toBeUndefined();
  });

  it("formats runtime override messages", () => {
    expect(modelOverrideMessage("gpt-5.5")).toBe("Model set to gpt-5.5 for subsequent turns.");
    expect(modelOverrideMessage(null)).toBe("Model reset to default for subsequent turns.");
    expect(reasoningEffortOverrideMessage("low")).toBe("Reasoning effort set to low for subsequent turns.");
    expect(reasoningEffortOverrideMessage(null)).toBe("Reasoning effort reset to default for subsequent turns.");
  });

  it("formats compact runtime labels", () => {
    expect(compactModelLabel("gpt-5.5")).toBe("5.5");
    expect(compactModelLabel("custom-model")).toBe("custom-model");
    expect(compactModelLabel(null)).toBe("default");
    expect(compactReasoningEffortLabel("minimal")).toBe("min");
    expect(compactReasoningEffortLabel("high")).toBe("high");
    expect(compactReasoningEffortLabel(null)).toBe("default");
  });

  it("keeps runtime defaults, resets, and collaboration mode semantics distinct", () => {
    const snapshot = runtimeSnapshot({
      requestedModel: resetRuntimeSettingToConfig(),
      requestedReasoningEffort: resetRuntimeSettingToConfig(),
    });

    expect(currentModel(snapshot)).toBe("gpt-5.5");
    expect(currentReasoningEffort(snapshot)).toBe("high");
    expect(requestedTurnRuntimeSettings(snapshot)).toMatchObject({
      collaborationMode: {
        mode: "default",
        settings: { model: "gpt-5.5", reasoning_effort: "high" },
      },
    });
    expect(pendingRuntimeSettingPayload(snapshot.requestedModel)).toBeNull();
    expect(pendingRuntimeSettingPayload(snapshot.requestedReasoningEffort)).toBeNull();
  });

  it("uses explicit runtime overrides as current values and settings payload values", () => {
    const snapshot = runtimeSnapshot({
      requestedModel: setPendingRuntimeSetting("gpt-5.4"),
      requestedReasoningEffort: setPendingRuntimeSetting("low"),
    });

    expect(currentModel(snapshot)).toBe("gpt-5.4");
    expect(currentReasoningEffort(snapshot)).toBe("low");
    expect(pendingRuntimeSettingPayload(snapshot.requestedModel)).toBe("gpt-5.4");
    expect(pendingRuntimeSettingPayload(snapshot.requestedReasoningEffort)).toBe("low");
  });

  it("resolves approval reviewer from requested, active, then effective config", () => {
    expect(
      currentApprovalsReviewer(
        runtimeSnapshot({
          requestedApprovalsReviewer: setPendingRuntimeSetting("user"),
          activeApprovalsReviewer: "auto_review",
          effectiveConfig: effectiveConfigFixture({ approvals_reviewer: "guardian_subagent" }),
        }),
      ),
    ).toBe("user");
    expect(
      currentApprovalsReviewer(
        runtimeSnapshot({
          activeApprovalsReviewer: "auto_review",
          effectiveConfig: effectiveConfigFixture({ approvals_reviewer: "guardian_subagent" }),
        }),
      ),
    ).toBe("auto_review");
    expect(
      currentApprovalsReviewer(
        runtimeSnapshot({
          effectiveConfig: effectiveConfigFixture({ approvals_reviewer: "guardian_subagent" }),
        }),
      ),
    ).toBe("guardian_subagent");
  });

  it("uses the active reviewer before configured reviewer", () => {
    const snapshot = runtimeSnapshot({
      activeApprovalsReviewer: "user",
      effectiveConfig: effectiveConfigFixture({ approvals_reviewer: "auto_review" }),
    });

    expect(currentApprovalsReviewer(snapshot)).toBe("user");
    expect(autoReviewActive(snapshot)).toBe(false);
  });

  it("treats guardian subagent reviewer as active auto-review", () => {
    const snapshot = runtimeSnapshot({
      activeApprovalsReviewer: "guardian_subagent",
    });

    expect(currentApprovalsReviewer(snapshot)).toBe("guardian_subagent");
    expect(autoReviewActive(snapshot)).toBe(true);
  });

  it("uses requested reviewer above active and configured reviewers", () => {
    const snapshot = runtimeSnapshot({
      requestedApprovalsReviewer: setPendingRuntimeSetting("user"),
      activeApprovalsReviewer: "user",
      effectiveConfig: effectiveConfigFixture({ approvals_reviewer: "auto_review" }),
    });

    expect(currentApprovalsReviewer(snapshot)).toBe("user");
    expect(autoReviewActive(snapshot)).toBe(false);
  });

  it("uses effective approval reviewer values and reports selected profile metadata", () => {
    const effectiveConfig = effectiveConfigFixture({ approvals_reviewer: "auto_review" }, [
      configLayer({}, null),
      configLayer({ approvals_reviewer: "auto_review" }, "auto"),
    ]);
    const snapshot = runtimeSnapshot({
      effectiveConfig,
    });

    expect(readRuntimeConfig(effectiveConfig).profile).toBe("auto");
    expect(currentApprovalsReviewer(snapshot)).toBe("auto_review");
    expect(autoReviewActive(snapshot)).toBe(true);
  });

  it("uses effective model, effort, and fast mode config values", () => {
    const snapshot = runtimeSnapshot({
      effectiveConfig: effectiveConfigFixture(
        {
          model: "gpt-profile",
          model_reasoning_effort: "high",
          service_tier: "fast",
        },
        [
          configLayer({}, null),
          configLayer({ model: "gpt-profile", model_reasoning_effort: "high", service_tier: "fast" }, "fast-profile"),
        ],
      ),
    });

    expect(currentModel(snapshot)).toBe("gpt-profile");
    expect(currentReasoningEffort(snapshot)).toBe("high");
    expect(currentServiceTier(snapshot)).toBe("fast");
    expect(serviceTierLabel(snapshot)).toBe("fast");
    expect(fastModeLabel(snapshot)).toBe("on");
    expect(requestedOrConfiguredServiceTier(snapshot)).toBe("fast");
  });

  it("uses active service tier before configured service tier", () => {
    const snapshot = runtimeSnapshot({
      activeServiceTier: "flex",
      effectiveConfig: effectiveConfigFixture({ service_tier: "fast" }),
    });

    expect(currentServiceTier(snapshot)).toBe("flex");
    expect(fastModeLabel(snapshot)).toBe("off");
  });

  it("treats the catalog Fast service tier id as fast mode while preserving the id", () => {
    const model = modelFixture("gpt-5.5");
    // This mirrors Codex app-server 0.134.0 model/list: Fast is named "Fast" but its id is "priority".
    model.serviceTiers = [{ id: "priority", name: "Fast", description: "1.5x speed, increased usage" }];
    const snapshot = runtimeSnapshot({
      activeModel: "gpt-5.5",
      activeServiceTier: "priority",
      effectiveConfig: effectiveConfigFixture({ model: "gpt-5.5" }),
      availableModels: [model],
    });

    expect(currentServiceTier(snapshot)).toBe("priority");
    expect(serviceTierLabel(snapshot)).toBe("priority");
    expect(fastModeActive(snapshot)).toBe(true);
    expect(fastModeLabel(snapshot)).toBe("on");
    expect(fastServiceTierRequestValue(snapshot)).toBe("priority");
  });

  it("treats the Codex 0.134.0 reported default tier after clearing Fast as fast mode off", () => {
    const model = modelFixture("gpt-5.5");
    model.serviceTiers = [{ id: "priority", name: "Fast", description: "1.5x speed, increased usage" }];
    const snapshot = runtimeSnapshot({
      activeModel: "gpt-5.5",
      activeServiceTier: "default",
      effectiveConfig: effectiveConfigFixture({ model: "gpt-5.5" }),
      availableModels: [model],
    });

    expect(currentServiceTier(snapshot)).toBe("default");
    expect(serviceTierLabel(snapshot)).toBe("default");
    expect(fastModeActive(snapshot)).toBe(false);
    expect(fastModeLabel(snapshot)).toBe("off");
  });

  it("uses requested service tier above active and configured service tiers", () => {
    const snapshot = runtimeSnapshot({
      requestedServiceTier: setPendingRuntimeSetting("off"),
      activeServiceTier: "flex",
      effectiveConfig: effectiveConfigFixture({ service_tier: "fast" }),
    });

    expect(currentServiceTier(snapshot)).toBeNull();
    expect(fastModeLabel(snapshot)).toBe("off");
  });

  it("resolves requested approval reviewer without adding it to turn runtime settings", () => {
    const snapshot = runtimeSnapshot({ requestedApprovalsReviewer: setPendingRuntimeSetting("auto_review") });

    expect(autoReviewActive(snapshot)).toBe(true);
    expect(currentApprovalsReviewer(snapshot)).toBe("auto_review");
    expect(requestedTurnRuntimeSettings(snapshot)).not.toHaveProperty("approvalsReviewer");
  });

  it("treats active thread runtime as display state without persisting it into turn overrides", () => {
    const snapshot = runtimeSnapshot({
      activeModel: "gpt-5-active",
      activeServiceTier: "fast",
      effectiveConfig: effectiveConfigFixture({}),
    });

    expect(currentModel(snapshot)).toBe("gpt-5-active");
    expect(currentServiceTier(snapshot)).toBe("fast");
    expect(requestedTurnRuntimeSettings(snapshot)).toMatchObject({
      collaborationMode: {
        mode: "default",
        settings: { model: "gpt-5-active" },
      },
    });
    expect(requestedTurnRuntimeSettings(snapshot)).not.toHaveProperty("model");
    expect(requestedTurnRuntimeSettings(snapshot)).not.toHaveProperty("effort");
  });

  it("separates effective runtime, config defaults, and pending changes in status details", () => {
    const sections = effectiveConfigSections(
      runtimeSnapshot({
        activeModel: "gpt-5-active",
        activeReasoningEffort: "low",
        activeCollaborationMode: "plan",
        selectedCollaborationMode: "plan",
        requestedModel: setPendingRuntimeSetting("gpt-5-pending"),
      }),
      "/vault",
    );
    const runtimeRows = Object.fromEntries(
      sections.find((section) => section.title === "Runtime")?.rows.map((row) => [row.key, row.value]) ?? [],
    );

    expect(runtimeRows).toMatchObject({
      "effective model": "gpt-5-pending",
      "configured model": "gpt-5.5",
      "thread model": "gpt-5-active",
      "requested model": "gpt-5-pending",
      "effective effort": "low",
      "configured effort": "high",
      "thread effort": "low",
      "requested effort": "(none)",
      "effective mode": "Plan",
      "requested mode": "(none)",
      "configured service tier": "flex",
      "thread service tier": "(not reported)",
      "requested service tier": "(none)",
    });

    const resetSections = effectiveConfigSections(
      runtimeSnapshot({
        requestedReasoningEffort: resetRuntimeSettingToConfig(),
      }),
      "/vault",
    );
    const resetRuntimeRows = Object.fromEntries(
      resetSections.find((section) => section.title === "Runtime")?.rows.map((row) => [row.key, row.value]) ?? [],
    );
    expect(resetRuntimeRows["requested effort"]).toBe("(reset to config)");
  });

  it("labels unset config values as Codex defaults when no concrete value is reported", () => {
    const sections = effectiveConfigSections(
      runtimeSnapshot({
        effectiveConfig: effectiveConfigFixture({}),
      }),
      "/vault",
    );
    const scopeRows = Object.fromEntries(
      sections.find((section) => section.title === "Scope")?.rows.map((row) => [row.key, row.value]) ?? [],
    );
    const runtimeRows = Object.fromEntries(
      sections.find((section) => section.title === "Runtime")?.rows.map((row) => [row.key, row.value]) ?? [],
    );
    const policyRows = Object.fromEntries(
      sections.find((section) => section.title === "Policy")?.rows.map((row) => [row.key, row.value]) ?? [],
    );

    expect(scopeRows["model provider"]).toBe("(Codex default)");
    expect(runtimeRows).toMatchObject({
      "effective model": "(Codex default)",
      "configured model": "(not reported)",
      "thread model": "(not reported)",
      "requested model": "(none)",
      "configured service tier": "(Codex default)",
      "thread service tier": "(not reported)",
      "requested service tier": "(none)",
      "fast mode": "Codex default",
    });
    expect(policyRows).toMatchObject({
      "effective approval": "(Codex default)",
      "configured approval": "(Codex default)",
      "thread approval": "(not reported)",
      "active permissions": "(not reported)",
      "configured reviewer": "(Codex default)",
      sandbox: "(Codex default)",
      "web search": "(Codex default)",
    });
  });

  it("shows effective profile runtime and policy values in status details", () => {
    const profileConfig = {
      model: "gpt-profile",
      model_provider: "profile-provider",
      model_reasoning_effort: "high",
      model_reasoning_summary: "detailed",
      model_verbosity: "high",
      approval_policy: "never",
      approvals_reviewer: "auto_review",
      web_search: "live",
      service_tier: "fast",
    };
    const sections = effectiveConfigSections(
      runtimeSnapshot({
        effectiveConfig: effectiveConfigFixture(profileConfig, [configLayer({}, null), configLayer(profileConfig, "auto")]),
      }),
      "/vault",
    );
    const scopeRows = Object.fromEntries(
      sections.find((section) => section.title === "Scope")?.rows.map((row) => [row.key, row.value]) ?? [],
    );
    const runtimeRows = Object.fromEntries(
      sections.find((section) => section.title === "Runtime")?.rows.map((row) => [row.key, row.value]) ?? [],
    );
    const policyRows = Object.fromEntries(
      sections.find((section) => section.title === "Policy")?.rows.map((row) => [row.key, row.value]) ?? [],
    );

    expect(scopeRows["profile"]).toBe("auto");
    expect(scopeRows["model provider"]).toBe("profile-provider");
    expect(runtimeRows).toMatchObject({
      "effective model": "gpt-profile",
      "configured model": "gpt-profile",
      "thread model": "(not reported)",
      "requested model": "(none)",
      "effective effort": "high",
      "configured effort": "high",
      "thread effort": "(not reported)",
      "requested effort": "(none)",
      "reasoning summary": "detailed",
      verbosity: "high",
      "effective service tier": "fast",
      "configured service tier": "fast",
      "thread service tier": "(not reported)",
      "requested service tier": "(none)",
      "fast mode": "on",
    });
    expect(policyRows["effective approval"]).toBe("never");
    expect(policyRows["configured approval"]).toBe("never");
    expect(policyRows["thread approval"]).toBe("(not reported)");
    expect(policyRows["active permissions"]).toBe("(not reported)");
    expect(policyRows["effective reviewer"]).toBe("auto_review");
    expect(policyRows["auto-review"]).toBe("on");
    expect(policyRows["configured reviewer"]).toBe("auto_review");
    expect(policyRows["thread reviewer"]).toBe("(not reported)");
    expect(policyRows["requested reviewer"]).toBe("(none)");
    expect(policyRows["web search"]).toBe("live");
  });

  it("shows active and configured reviewer inputs in status details", () => {
    const sections = effectiveConfigSections(
      runtimeSnapshot({
        activeApprovalsReviewer: "guardian_subagent",
        activeApprovalPolicy: "never",
        activePermissionProfile: { id: ":workspace", extends: ":default" },
        effectiveConfig: effectiveConfigFixture({ approvals_reviewer: "auto_review" }),
      }),
      "/vault",
    );
    const policyRows = Object.fromEntries(
      sections.find((section) => section.title === "Policy")?.rows.map((row) => [row.key, row.value]) ?? [],
    );

    expect(policyRows).toMatchObject({
      "effective approval": "never",
      "thread approval": "never",
      "active permissions": ":workspace extends :default",
      "effective reviewer": "guardian_subagent",
      "auto-review": "on",
      "configured reviewer": "auto_review",
      "thread reviewer": "guardian_subagent",
    });
  });

  it("summarizes service tier and context meter state from one runtime snapshot", () => {
    const snapshot = runtimeSnapshot({ requestedServiceTier: setPendingRuntimeSetting("fast"), activeThreadId: "thread" });

    expect(serviceTierLabel(snapshot)).toBe("fast");
    expect(fastModeLabel(snapshot)).toBe("on");
    expect(contextSummary(snapshot)).toMatchObject({
      label: "Context 0%",
      title: "Context: 0 / 100,000 (0%). No turns in this thread yet.",
      percent: 0,
      level: "ok",
    });
    expect(
      contextSummary(
        runtimeSnapshot({
          activeThreadId: "thread",
          tokenUsage: {
            last: { inputTokens: 1000, cachedInputTokens: 0, outputTokens: 200, reasoningOutputTokens: 50, totalTokens: 1250 },
            total: { inputTokens: 2000, cachedInputTokens: 0, outputTokens: 500, reasoningOutputTokens: 100, totalTokens: 2600 },
            modelContextWindow: 100_000,
          },
        }),
      ),
    ).toMatchObject({
      title: "Context: 1,000 / 100,000 (1%). Last request: 1,000 input, 200 output, 50 reasoning. Total: 2,600 tokens.",
    });
    expect(
      contextSummary(
        runtimeSnapshot({
          activeThreadId: "thread",
          hasThreadTurns: true,
        }),
      ),
    ).toMatchObject({
      label: "Context unknown",
      percent: null,
    });
  });

  it("serializes explicit fast off as a null service tier request", () => {
    const snapshot = runtimeSnapshot({
      effectiveConfig: effectiveConfigFixture({ service_tier: "fast" }),
      requestedServiceTier: setPendingRuntimeSetting("off"),
    });

    expect(serviceTierLabel(snapshot)).toBe("(Codex default)");
    expect(fastModeLabel(snapshot)).toBe("off");
    expect(requestedOrConfiguredServiceTier(snapshot)).toBeNull();
  });

  it("serializes requested fast mode using the catalog Fast service tier id", () => {
    const model = modelFixture("gpt-5.5");
    model.serviceTiers = [{ id: "priority", name: "Fast", description: "1.5x speed, increased usage" }];
    const snapshot = runtimeSnapshot({
      requestedServiceTier: setPendingRuntimeSetting("fast"),
      effectiveConfig: effectiveConfigFixture({ model: "gpt-5.5" }),
      availableModels: [model],
    });

    expect(fastModeLabel(snapshot)).toBe("on");
    expect(requestedOrConfiguredServiceTier(snapshot)).toBe("priority");
  });

  it("omits service tier when neither config nor override selects one", () => {
    expect(requestedOrConfiguredServiceTier(runtimeSnapshot({ effectiveConfig: effectiveConfigFixture({}) }))).toBeUndefined();
  });

  it("passes through configured non-fast service tier ids", () => {
    const snapshot = runtimeSnapshot({ effectiveConfig: effectiveConfigFixture({ service_tier: "flex" }) });

    expect(serviceTierLabel(snapshot)).toBe("flex");
    expect(fastModeLabel(snapshot)).toBe("off");
    expect(requestedOrConfiguredServiceTier(snapshot)).toBe("flex");
  });

  it("summarizes Codex usage limits independently from context usage", () => {
    expect(
      rateLimitSummary(
        runtimeSnapshot({
          rateLimit: {
            limitId: "codex",
            limitName: "Codex",
            primary: { usedPercent: 72.4, windowDurationMins: 300, resetsAt: 1_800_000_000 },
            secondary: null,
            credits: null,
            individualLimit: null,
            planType: null,
            rateLimitReachedType: null,
          },
        }),
        1_799_991_600_000,
      ),
    ).toMatchObject({
      rows: [{ label: "5h", value: "72%", resetLabel: "reset in 2h 20m", percent: 72, meterDivisions: 5 }],
      level: "warn",
    });

    expect(
      rateLimitSummary(
        runtimeSnapshot({
          rateLimit: {
            limitId: "codex",
            limitName: null,
            primary: { usedPercent: 95, windowDurationMins: null, resetsAt: null },
            secondary: null,
            credits: null,
            individualLimit: null,
            planType: null,
            rateLimitReachedType: "rate_limit_reached",
          },
        }),
      ),
    ).toMatchObject({
      rows: [{ percent: 95, resetLabel: null }],
      level: "danger",
    });

    expect(
      rateLimitSummary(
        runtimeSnapshot({
          rateLimit: {
            limitId: "codex",
            limitName: "Codex",
            primary: { usedPercent: 15, windowDurationMins: 300, resetsAt: null },
            secondary: { usedPercent: 38, windowDurationMins: 10_080, resetsAt: null },
            credits: null,
            individualLimit: null,
            planType: null,
            rateLimitReachedType: null,
          },
        }),
      ),
    ).toMatchObject({
      rows: [
        { label: "5h", value: "15%", meterDivisions: 5 },
        { label: "1w", value: "38%", meterDivisions: 7 },
      ],
      level: "ok",
    });

    expect(
      rateLimitSummary(
        runtimeSnapshot({
          rateLimit: {
            limitId: "codex",
            limitName: "Codex",
            primary: { usedPercent: 10, windowDurationMins: 300, resetsAt: 1_800_000_000 },
            secondary: null,
            credits: null,
            individualLimit: null,
            planType: null,
            rateLimitReachedType: null,
          },
        }),
        1_800_000_001_000,
      ),
    ).toMatchObject({
      rows: [{ resetLabel: "reset due" }],
    });

    expect(
      rateLimitSummary(
        runtimeSnapshot({
          rateLimit: {
            limitId: "codex",
            limitName: "Codex",
            primary: null,
            secondary: null,
            credits: null,
            individualLimit: { limit: "$100", used: "$72", remainingPercent: 28, resetsAt: 1_800_000_000 },
            planType: null,
            rateLimitReachedType: null,
          },
        }),
        1_799_991_600_000,
      ),
    ).toMatchObject({
      rows: [{ label: "monthly", value: "$72 / $100", resetLabel: "reset in 2h 20m", percent: 72, meterDivisions: null }],
      level: "warn",
    });
  });
});

function runtimeSnapshot(overrides: Partial<RuntimeSnapshot> = {}): RuntimeSnapshot {
  return {
    effectiveConfig: effectiveConfigFixture({
      model: "gpt-5.5",
      model_reasoning_effort: "high",
      service_tier: "flex",
      model_context_window: 100_000,
    }),
    activeThreadId: null,
    activeModel: null,
    activeReasoningEffort: null,
    activeCollaborationMode: "default",
    activeServiceTier: null,
    activeApprovalPolicy: null,
    activeApprovalsReviewer: null,
    activePermissionProfile: null,
    requestedModel: { kind: "unchanged" },
    requestedReasoningEffort: { kind: "unchanged" },
    requestedApprovalsReviewer: { kind: "unchanged" },
    selectedCollaborationMode: "default",
    requestedServiceTier: { kind: "unchanged" },
    tokenUsage: null,
    rateLimit: null,
    hasThreadTurns: false,
    availableModels: [],
    ...overrides,
  };
}

function effectiveConfigFixture(config: Record<string, unknown>, layers: ConfigReadResponse["layers"] = null): ConfigReadResponse {
  return {
    config: config as ConfigReadResponse["config"],
    origins: {},
    layers,
  };
}

function configLayer(config: Record<string, unknown>, profile: string | null): NonNullable<ConfigReadResponse["layers"]>[number] {
  return {
    name: { type: "user", file: "/home/me/.codex/config.toml", profile },
    version: "1",
    config: config as NonNullable<ConfigReadResponse["layers"]>[number]["config"],
    disabledReason: null,
  };
}

function threadFixture(id: string): Thread {
  return {
    id,
    sessionId: "session",
    forkedFromId: null,
    parentThreadId: null,
    preview: "",
    ephemeral: false,
    modelProvider: "openai",
    createdAt: 1,
    updatedAt: 1,
    status: { type: "idle" },
    path: null,
    cwd: "/vault",
    cliVersion: "0.0.0",
    source: "appServer",
    threadSource: null,
    agentNickname: null,
    agentRole: null,
    gitInfo: null,
    name: null,
    turns: [],
  };
}

function modelFixture(model: string): Model {
  return {
    id: model,
    model,
    upgrade: null,
    upgradeInfo: null,
    availabilityNux: null,
    displayName: model,
    description: "",
    hidden: false,
    supportedReasoningEfforts: [],
    defaultReasoningEffort: "medium",
    inputModalities: [],
    supportsPersonality: false,
    additionalSpeedTiers: [],
    serviceTiers: [],
    defaultServiceTier: null,
    isDefault: false,
  };
}