// Onboard config tests cover workspace, bootstrap, and local setup config mutations.

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

import type { OpenClawConfig } from "../config/config.js";

import {

applyLocalSetupWorkspaceConfig,

ONBOARDING_DEFAULT_DM_SCOPE,

ONBOARDING_DEFAULT_TOOLS_PROFILE,

} from "./onboard-config.js";

import { applyLocalSetupWorkspaceConfig } from "./onboard-config.js";

describe("applyLocalSetupWorkspaceConfig", () => {

it("defaults local setup tool profile to coding", () => {

expect(ONBOARDING_DEFAULT_TOOLS_PROFILE).toBe("coding");

});

it("sets secure dmScope default when unset", () => {

const baseConfig: OpenClawConfig = {};

const result = applyLocalSetupWorkspaceConfig(baseConfig, "/tmp/workspace");

expect(result.session?.dmScope).toBe(ONBOARDING_DEFAULT_DM_SCOPE);

expect(result.session?.dmScope).toBe("per-channel-peer");

expect(result.gateway?.mode).toBe("local");

expect(result.agents?.defaults?.workspace).toBe("/tmp/workspace");

expect(result.tools?.profile).toBe(ONBOARDING_DEFAULT_TOOLS_PROFILE);

expect(result.tools?.profile).toBe("coding");

});

it("preserves existing dmScope when already configured", () => {

import type { ToolProfileId } from "../config/types.tools.js";

/** Default DM scoping selected during local onboarding. */

export const ONBOARDING_DEFAULT_DM_SCOPE: DmScope = "per-channel-peer";

const ONBOARDING_DEFAULT_DM_SCOPE: DmScope = "per-channel-peer";

/** Default tool profile selected during local onboarding. */

export const ONBOARDING_DEFAULT_TOOLS_PROFILE: ToolProfileId = "coding";

const ONBOARDING_DEFAULT_TOOLS_PROFILE: ToolProfileId = "coding";

/** Applies local gateway/workspace defaults without overwriting explicit user defaults. */

export function applyLocalSetupWorkspaceConfig(

applyCustomApiConfig,

buildAnthropicVerificationProbeRequest,

buildOpenAiVerificationProbeRequest,

CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,

inferCustomModelSupportsImageInput,

parseNonInteractiveCustomApiFlags,

resolveCustomModelImageInputInference,

} from "./onboard-custom-config.js";

const EXPECTED_CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS = 128_000;

function buildCustomProviderConfig(contextWindow?: number) {

if (contextWindow === undefined) {

return {} as OpenClawConfig;

{

name: "uses stable default context window for newly added custom models",

existingContextWindow: undefined,

expectedContextWindow: CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,

expectedContextWindow: EXPECTED_CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,

},

{

name: "upgrades existing custom model context window when below hard minimum",

existingContextWindow: 2048,

expectedContextWindow: CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,

expectedContextWindow: EXPECTED_CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,

},

{

name: "raises legacy generated hard-min context window (#79428)",

existingContextWindow: CONTEXT_WINDOW_HARD_MIN_TOKENS,

expectedContextWindow: CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,

expectedContextWindow: EXPECTED_CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,

},

{

name: "preserves explicit small context window when already valid",

* Mirrors the generic persisted custom-model catalog fallback and leaves enough

* room above the default compaction reserve floor in `agent-settings.ts`.

*/

export const CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS = 128_000;

const CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS = 128_000;

const DEFAULT_CONTEXT_WINDOW = CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS;

const DEFAULT_MAX_TOKENS = 4096;

// Azure OpenAI uses the Responses API, which supports larger generated defaults.