mirror of https://github.com/openclaw/openclaw.git
325 lines
9.5 KiB
TypeScript
325 lines
9.5 KiB
TypeScript
import { beforeEach, describe, expect, it, vi } from "vitest";
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import type { OpenClawConfig } from "../config/config.js";
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import {
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applyModelAllowlist,
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applyModelFallbacksFromSelection,
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promptDefaultModel,
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promptModelAllowlist,
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} from "./model-picker.js";
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import { makePrompter } from "./setup/__tests__/test-utils.js";
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const loadModelCatalog = vi.hoisted(() => vi.fn());
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vi.mock("../agents/model-catalog.js", () => ({
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loadModelCatalog,
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}));
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const ensureAuthProfileStore = vi.hoisted(() =>
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vi.fn(() => ({
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version: 1,
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profiles: {},
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})),
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);
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const listProfilesForProvider = vi.hoisted(() => vi.fn(() => []));
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const upsertAuthProfile = vi.hoisted(() => vi.fn());
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vi.mock("../agents/auth-profiles.js", () => ({
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ensureAuthProfileStore,
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listProfilesForProvider,
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upsertAuthProfile,
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}));
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const resolveEnvApiKey = vi.hoisted(() => vi.fn(() => undefined));
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const hasUsableCustomProviderApiKey = vi.hoisted(() => vi.fn(() => false));
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vi.mock("../agents/model-auth.js", () => ({
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resolveEnvApiKey,
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hasUsableCustomProviderApiKey,
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}));
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const resolveProviderModelPickerEntries = vi.hoisted(() => vi.fn(() => []));
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const resolveProviderPluginChoice = vi.hoisted(() => vi.fn());
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const runProviderModelSelectedHook = vi.hoisted(() => vi.fn(async () => {}));
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const resolvePluginProviders = vi.hoisted(() => vi.fn(() => []));
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const runProviderPluginAuthMethod = vi.hoisted(() => vi.fn());
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vi.mock("./model-picker.runtime.js", () => ({
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modelPickerRuntime: {
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resolveProviderModelPickerEntries,
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resolveProviderPluginChoice,
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runProviderModelSelectedHook,
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resolvePluginProviders,
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runProviderPluginAuthMethod,
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},
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}));
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const OPENROUTER_CATALOG = [
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{
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provider: "openrouter",
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id: "auto",
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name: "OpenRouter Auto",
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},
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{
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provider: "openrouter",
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id: "meta-llama/llama-3.3-70b:free",
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name: "Llama 3.3 70B",
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},
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] as const;
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function expectRouterModelFiltering(options: Array<{ value: string }>) {
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expect(options.some((opt) => opt.value === "openrouter/auto")).toBe(false);
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expect(options.some((opt) => opt.value === "openrouter/meta-llama/llama-3.3-70b:free")).toBe(
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true,
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);
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}
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function createSelectAllMultiselect() {
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return vi.fn(async (params) => params.options.map((option: { value: string }) => option.value));
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}
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beforeEach(() => {
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vi.clearAllMocks();
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});
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describe("promptDefaultModel", () => {
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it("supports configuring vLLM during setup", async () => {
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loadModelCatalog.mockResolvedValue([
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{
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provider: "anthropic",
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id: "claude-sonnet-4-5",
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name: "Claude Sonnet 4.5",
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},
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]);
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resolveProviderModelPickerEntries.mockReturnValue([
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{ value: "vllm", label: "vLLM (custom)", hint: "Enter vLLM URL + API key + model" },
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] as never);
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resolvePluginProviders.mockReturnValue([{ id: "vllm" }] as never);
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resolveProviderPluginChoice.mockReturnValue({
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provider: { id: "vllm", label: "vLLM", auth: [] },
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method: { id: "custom", label: "vLLM", kind: "custom" },
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});
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runProviderPluginAuthMethod.mockResolvedValue({
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config: {
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models: {
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providers: {
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vllm: {
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baseUrl: "http://127.0.0.1:8000/v1",
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api: "openai-completions",
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apiKey: "VLLM_API_KEY",
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models: [
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{
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id: "meta-llama/Meta-Llama-3-8B-Instruct",
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name: "meta-llama/Meta-Llama-3-8B-Instruct",
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},
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],
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},
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},
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},
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},
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defaultModel: "vllm/meta-llama/Meta-Llama-3-8B-Instruct",
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});
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const select = vi.fn(async (params) => {
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const vllm = params.options.find((opt: { value: string }) => opt.value === "vllm");
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return (vllm?.value ?? "") as never;
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});
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const prompter = makePrompter({ select });
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const config = { agents: { defaults: {} } } as OpenClawConfig;
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const result = await promptDefaultModel({
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config,
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prompter,
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allowKeep: false,
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includeManual: false,
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includeProviderPluginSetups: true,
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ignoreAllowlist: true,
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agentDir: "/tmp/openclaw-agent",
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runtime: {} as never,
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});
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expect(runProviderPluginAuthMethod).toHaveBeenCalledOnce();
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expect(result.model).toBe("vllm/meta-llama/Meta-Llama-3-8B-Instruct");
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expect(result.config?.models?.providers?.vllm).toMatchObject({
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baseUrl: "http://127.0.0.1:8000/v1",
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api: "openai-completions",
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apiKey: "VLLM_API_KEY", // pragma: allowlist secret
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models: [
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{ id: "meta-llama/Meta-Llama-3-8B-Instruct", name: "meta-llama/Meta-Llama-3-8B-Instruct" },
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],
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});
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});
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});
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describe("promptModelAllowlist", () => {
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it("filters to allowed keys when provided", async () => {
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loadModelCatalog.mockResolvedValue([
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{
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provider: "anthropic",
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id: "claude-opus-4-5",
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name: "Claude Opus 4.5",
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},
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{
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provider: "anthropic",
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id: "claude-sonnet-4-5",
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name: "Claude Sonnet 4.5",
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},
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{
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provider: "openai",
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id: "gpt-5.2",
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name: "GPT-5.2",
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},
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]);
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const multiselect = createSelectAllMultiselect();
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const prompter = makePrompter({ multiselect });
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const config = { agents: { defaults: {} } } as OpenClawConfig;
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await promptModelAllowlist({
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config,
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prompter,
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allowedKeys: ["anthropic/claude-opus-4-5"],
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});
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const options = multiselect.mock.calls[0]?.[0]?.options ?? [];
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expect(options.map((opt: { value: string }) => opt.value)).toEqual([
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"anthropic/claude-opus-4-5",
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]);
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});
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it("scopes the initial allowlist picker to the preferred provider", async () => {
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loadModelCatalog.mockResolvedValue([
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{
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provider: "anthropic",
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id: "claude-sonnet-4-5",
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name: "Claude Sonnet 4.5",
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},
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{
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provider: "openai",
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id: "gpt-5.4",
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name: "GPT-5.4",
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},
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{
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provider: "openai",
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id: "gpt-5.4-mini",
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name: "GPT-5.4 Mini",
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},
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]);
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const multiselect = createSelectAllMultiselect();
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const prompter = makePrompter({ multiselect });
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const config = { agents: { defaults: {} } } as OpenClawConfig;
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await promptModelAllowlist({
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config,
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prompter,
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preferredProvider: "openai",
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});
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const options = multiselect.mock.calls[0]?.[0]?.options ?? [];
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expect(options.map((opt: { value: string }) => opt.value)).toEqual([
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"openai/gpt-5.4",
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"openai/gpt-5.4-mini",
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]);
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});
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});
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describe("router model filtering", () => {
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it("filters internal router models in both default and allowlist prompts", async () => {
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loadModelCatalog.mockResolvedValue(OPENROUTER_CATALOG);
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const select = vi.fn(async (params) => {
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const first = params.options[0];
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return first?.value ?? "";
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});
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const multiselect = createSelectAllMultiselect();
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const defaultPrompter = makePrompter({ select });
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const allowlistPrompter = makePrompter({ multiselect });
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const config = { agents: { defaults: {} } } as OpenClawConfig;
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await promptDefaultModel({
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config,
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prompter: defaultPrompter,
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allowKeep: false,
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includeManual: false,
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ignoreAllowlist: true,
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});
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await promptModelAllowlist({ config, prompter: allowlistPrompter });
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const defaultOptions = select.mock.calls[0]?.[0]?.options ?? [];
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expectRouterModelFiltering(defaultOptions);
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const allowlistCall = multiselect.mock.calls[0]?.[0];
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expectRouterModelFiltering(allowlistCall?.options as Array<{ value: string }>);
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expect(allowlistCall?.searchable).toBe(true);
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expect(runProviderPluginAuthMethod).not.toHaveBeenCalled();
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});
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});
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describe("applyModelAllowlist", () => {
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it("preserves existing entries for selected models", () => {
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const config = {
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agents: {
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defaults: {
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models: {
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"openai/gpt-5.2": { alias: "gpt" },
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"anthropic/claude-opus-4-5": { alias: "opus" },
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},
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},
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},
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} as OpenClawConfig;
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const next = applyModelAllowlist(config, ["openai/gpt-5.2"]);
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expect(next.agents?.defaults?.models).toEqual({
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"openai/gpt-5.2": { alias: "gpt" },
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});
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});
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it("clears the allowlist when no models remain", () => {
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const config = {
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agents: {
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defaults: {
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models: {
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"openai/gpt-5.2": { alias: "gpt" },
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},
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},
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},
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} as OpenClawConfig;
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const next = applyModelAllowlist(config, []);
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expect(next.agents?.defaults?.models).toBeUndefined();
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});
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});
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describe("applyModelFallbacksFromSelection", () => {
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it("sets fallbacks from selection when the primary is included", () => {
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const config = {
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agents: {
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defaults: {
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model: { primary: "anthropic/claude-opus-4-5" },
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},
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},
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} as OpenClawConfig;
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const next = applyModelFallbacksFromSelection(config, [
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"anthropic/claude-opus-4-5",
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"anthropic/claude-sonnet-4-5",
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]);
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expect(next.agents?.defaults?.model).toEqual({
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primary: "anthropic/claude-opus-4-5",
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fallbacks: ["anthropic/claude-sonnet-4-5"],
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});
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});
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it("keeps existing fallbacks when the primary is not selected", () => {
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const config = {
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agents: {
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defaults: {
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model: { primary: "anthropic/claude-opus-4-5", fallbacks: ["openai/gpt-5.2"] },
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},
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},
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} as OpenClawConfig;
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const next = applyModelFallbacksFromSelection(config, ["openai/gpt-5.2"]);
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expect(next.agents?.defaults?.model).toEqual({
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primary: "anthropic/claude-opus-4-5",
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fallbacks: ["openai/gpt-5.2"],
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});
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});
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});
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