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* tests: add unit tests for MoonshotProvider with mocked client: [#2979] Adds offline MoonshotProvider.test.ts covering construction, model resolution and aliasing, request shape (hardcoded max_tokens=1000, stream_options gating, tool_use → tool_calls hoisting), vision-model image-inlining hook, non-stream and streaming output, error logging and rethrow, and metering. Existing integration test is left untouched. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> * tests: MoonshotProvider uses setupTestServer + real metering Drops the local makeMeteringStub in favour of a live PuterServer-wired MeteringService. The OpenAI SDK is still mocked at the module boundary (the real network egress point); inlineHttpImageUrls is mocked because verifying the provider invokes it for vision-capable models is the unit's concern. Aligns with AGENTS.md: "Prefer test server over mocking deps." Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Daniel Salazar
co-authored by
Claude Opus 4.7
Claude Opus 4.7
parent
6ab2a2a6cc
commit
6226db73d4
@@ -0,0 +1,759 @@
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/*
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* Copyright (C) 2024-present Puter Technologies Inc.
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*
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* This file is part of Puter.
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*
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* Puter is free software: you can redistribute it and/or modify
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* it under the terms of the GNU Affero General Public License as published
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* by the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU Affero General Public License for more details.
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*
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* You should have received a copy of the GNU Affero General Public License
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* along with this program. If not, see <https://www.gnu.org/licenses/>.
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*/
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/**
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* Offline unit tests for MoonshotProvider.
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*
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* Boots a real PuterServer (in-memory sqlite + dynamo + s3 + mock
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* redis) and constructs MoonshotProvider directly against the live
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* wired `MeteringService` so the recording side is exercised end-to-
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* end. Moonshot is OpenAI-compatible so the OpenAI SDK is mocked at
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* the module boundary; that's the real network egress point. Image-
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* inlining behaviour is covered by `imageHandling.test.ts`; here we
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* stub `inlineHttpImageUrls` so http URLs in vision messages don't
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* trigger network fetches and only verify the provider invokes it
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* for vision-capable models. The companion integration test
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* (MoonshotProvider.integration.test.ts) exercises the real Moonshot
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* endpoint.
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*/
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import { Writable } from 'node:stream';
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import {
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afterAll,
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afterEach,
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beforeAll,
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beforeEach,
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describe,
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expect,
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it,
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vi,
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type MockInstance,
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} from 'vitest';
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import { SYSTEM_ACTOR } from '../../../../core/actor.js';
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import type { MeteringService } from '../../../../services/metering/MeteringService.js';
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import { PuterServer } from '../../../../server.js';
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import { setupTestServer } from '../../../../testUtil.js';
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import { withTestActor } from '../../../integrationTestUtil.js';
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import { AIChatStream } from '../../utils/Streaming.js';
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import { MOONSHOT_MODELS } from './models.js';
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import { MoonshotProvider } from './MoonshotProvider.js';
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// ── OpenAI SDK mock ─────────────────────────────────────────────────
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const { createMock, openAICtor } = vi.hoisted(() => {
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const createMock = vi.fn();
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const openAICtor = vi.fn();
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return { createMock, openAICtor };
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});
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vi.mock('openai', () => {
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const OpenAICtor = vi.fn().mockImplementation(function (
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this: Record<string, unknown>,
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opts: unknown,
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) {
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openAICtor(opts);
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this.chat = { completions: { create: createMock } };
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});
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// Some providers (e.g. OllamaChatProvider, GeminiChatProvider)
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// import the default export and access `.OpenAI` on it, so expose
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// the same constructor under both shapes — the test server boots
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// every provider, not just Moonshot.
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return { OpenAI: OpenAICtor, default: { OpenAI: OpenAICtor } };
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});
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// ── imageHandling stub ──────────────────────────────────────────────
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const { inlineHttpImageUrlsMock } = vi.hoisted(() => ({
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inlineHttpImageUrlsMock: vi.fn(async () => {}),
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}));
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vi.mock('./imageHandling.js', () => ({
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inlineHttpImageUrls: inlineHttpImageUrlsMock,
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}));
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// ── Test harness ────────────────────────────────────────────────────
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let server: PuterServer;
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let recordSpy: MockInstance<MeteringService['utilRecordUsageObject']>;
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beforeAll(async () => {
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server = await setupTestServer();
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});
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afterAll(async () => {
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await server?.shutdown();
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});
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const makeProvider = () => {
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const provider = new MoonshotProvider(
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{ apiKey: 'test-key' },
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server.services.metering,
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);
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return { provider };
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};
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const asAsyncIterable = <T>(items: T[]): AsyncIterable<T> => ({
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async *[Symbol.asyncIterator]() {
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for (const item of items) {
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yield item;
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}
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},
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});
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const makeCapturingChatStream = () => {
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const chunks: string[] = [];
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const sink = new Writable({
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write(chunk, _enc, cb) {
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chunks.push(chunk.toString('utf8'));
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cb();
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},
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});
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const chatStream = new AIChatStream({ stream: sink });
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return {
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chatStream,
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events: () =>
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chunks
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.join('')
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.split('\n')
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.filter(Boolean)
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.map((line) => JSON.parse(line)),
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};
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};
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beforeEach(() => {
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createMock.mockReset();
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openAICtor.mockReset();
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inlineHttpImageUrlsMock.mockReset();
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inlineHttpImageUrlsMock.mockImplementation(async () => {});
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recordSpy = vi.spyOn(server.services.metering, 'utilRecordUsageObject');
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});
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afterEach(() => {
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vi.restoreAllMocks();
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});
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// ── Construction ────────────────────────────────────────────────────
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describe('MoonshotProvider construction', () => {
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it('points the OpenAI SDK at the Moonshot base URL with the configured key', () => {
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makeProvider();
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expect(openAICtor).toHaveBeenCalledTimes(1);
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expect(openAICtor).toHaveBeenCalledWith({
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apiKey: 'test-key',
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baseURL: 'https://api.moonshot.ai/v1',
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});
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});
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});
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// ── Model catalog ───────────────────────────────────────────────────
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describe('MoonshotProvider model catalog', () => {
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it('returns kimi-k2.6 as the default', () => {
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const { provider } = makeProvider();
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expect(provider.getDefaultModel()).toBe('kimi-k2.6');
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});
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it('exposes the static MOONSHOT_MODELS list verbatim from models()', () => {
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const { provider } = makeProvider();
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expect(provider.models()).toBe(MOONSHOT_MODELS);
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});
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it('list() flattens canonical ids and aliases (returned via async)', async () => {
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const { provider } = makeProvider();
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const names = await provider.list();
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for (const m of MOONSHOT_MODELS) {
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expect(names).toContain(m.id);
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for (const a of m.aliases ?? []) {
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expect(names).toContain(a);
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}
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}
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expect(names).toContain('kimi');
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expect(names).toContain('kimi-k2.6');
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});
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});
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// ── Request shape ───────────────────────────────────────────────────
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describe('MoonshotProvider.complete request shape', () => {
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const baseCompletion = {
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choices: [
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{
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message: { content: 'hi', role: 'assistant' },
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finish_reason: 'stop',
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},
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],
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usage: { prompt_tokens: 1, completion_tokens: 1 },
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};
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it('forwards model + messages and locks max_tokens=1000', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.6',
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messages: [{ role: 'user', content: 'hello' }],
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}),
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);
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const [args] = createMock.mock.calls[0]!;
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expect(args.model).toBe('kimi-k2.6');
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expect(args.messages).toEqual([{ role: 'user', content: 'hello' }]);
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// max_tokens is hardcoded by the provider — the call to Moonshot
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// should always cap at 1000 tokens of completion.
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expect(args.max_tokens).toBe(1000);
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});
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it('omits the `tools` key entirely when no tools are supplied', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.6',
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messages: [{ role: 'user', content: 'hi' }],
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}),
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);
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const [args] = createMock.mock.calls[0]!;
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expect('tools' in args).toBe(false);
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});
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it('passes tool definitions through unchanged when supplied', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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const tools = [
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{
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type: 'function',
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function: {
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name: 'lookup',
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description: 'find a thing',
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parameters: {
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type: 'object',
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properties: { q: { type: 'string' } },
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required: ['q'],
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},
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},
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},
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];
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.6',
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messages: [{ role: 'user', content: 'hi' }],
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tools,
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}),
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);
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const [args] = createMock.mock.calls[0]!;
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expect(args.tools).toBe(tools);
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});
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it('only sets stream_options.include_usage when streaming', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.6',
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messages: [{ role: 'user', content: 'hi' }],
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stream: false,
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}),
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);
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const [nonStreamArgs] = createMock.mock.calls[0]!;
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expect(nonStreamArgs.stream).toBe(false);
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expect('stream_options' in nonStreamArgs).toBe(false);
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createMock.mockReturnValueOnce(asAsyncIterable([]));
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.6',
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messages: [{ role: 'user', content: 'hi' }],
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stream: true,
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}),
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);
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const [streamArgs] = createMock.mock.calls[1]!;
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expect(streamArgs.stream).toBe(true);
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expect(streamArgs.stream_options).toEqual({ include_usage: true });
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});
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it('hoists Puter-style tool_use blocks into OpenAI tool_calls before sending', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.6',
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messages: [
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{
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role: 'assistant',
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content: [
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{
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type: 'tool_use',
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id: 'call_1',
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name: 'lookup',
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input: { q: 'puter' },
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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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const [args] = createMock.mock.calls[0]!;
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expect(args.messages[0].content).toBeNull();
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expect(args.messages[0].tool_calls).toEqual([
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{
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id: 'call_1',
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type: 'function',
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function: {
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name: 'lookup',
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arguments: JSON.stringify({ q: 'puter' }),
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},
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},
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]);
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});
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});
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// ── Image inlining for vision models ────────────────────────────────
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describe('MoonshotProvider image inlining', () => {
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const baseCompletion = {
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choices: [
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{
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message: { content: 'ok', role: 'assistant' },
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finish_reason: 'stop',
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},
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],
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usage: { prompt_tokens: 1, completion_tokens: 1 },
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};
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it('routes vision-capable models through inlineHttpImageUrls', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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const messages = [
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{
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role: 'user',
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content: [
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{ type: 'text', text: 'what is this?' },
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{
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type: 'image_url',
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image_url: { url: 'https://example.com/img.png' },
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},
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],
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},
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];
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.5', // kimi-k2.5 declares image input modality
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messages: messages as unknown as { role: string; content: unknown }[],
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}),
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);
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expect(inlineHttpImageUrlsMock).toHaveBeenCalledTimes(1);
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// The provider passes the same messages array — image inlining
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// mutates parts in place before process_input_messages runs.
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expect(inlineHttpImageUrlsMock.mock.calls[0]![0]).toBe(messages);
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});
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it('does not invoke inlineHttpImageUrls for text-only models', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'kimi-k2.6',
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messages: [{ role: 'user', content: 'hi' }],
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}),
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);
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expect(inlineHttpImageUrlsMock).not.toHaveBeenCalled();
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});
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});
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// ── Model resolution ────────────────────────────────────────────────
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describe('MoonshotProvider model resolution', () => {
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const baseCompletion = {
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choices: [
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{
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message: { content: 'ok', role: 'assistant' },
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finish_reason: 'stop',
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},
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],
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usage: { prompt_tokens: 1, completion_tokens: 1 },
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};
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it('resolves an exact canonical id', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'moonshot-v1-32k',
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messages: [{ role: 'user', content: 'hi' }],
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}),
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);
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expect(createMock.mock.calls[0]![0].model).toBe('moonshot-v1-32k');
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expect(recordSpy).toHaveBeenCalledWith(
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expect.any(Object),
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expect.anything(),
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'moonshotai:moonshot-v1-32k',
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expect.any(Object),
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);
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});
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it('resolves an alias to its canonical id (alias rewriting)', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'kimi',
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messages: [{ role: 'user', content: 'hi' }],
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}),
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);
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expect(createMock.mock.calls[0]![0].model).toBe('kimi-k2.6');
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expect(recordSpy).toHaveBeenCalledWith(
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expect.any(Object),
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expect.anything(),
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'moonshotai:kimi-k2.6',
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expect.any(Object),
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);
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});
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it('falls back to the default model when given an unknown id', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce(baseCompletion);
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await withTestActor(() =>
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provider.complete({
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model: 'totally-not-a-real-model',
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messages: [{ role: 'user', content: 'hi' }],
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}),
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);
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expect(createMock.mock.calls[0]![0].model).toBe('kimi-k2.6');
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expect(recordSpy).toHaveBeenCalledWith(
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expect.any(Object),
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expect.anything(),
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'moonshotai:kimi-k2.6',
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expect.any(Object),
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);
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});
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});
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// ── Non-stream completion ───────────────────────────────────────────
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describe('MoonshotProvider.complete non-stream output', () => {
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it('returns the first choice and runs the metered usage calculator', async () => {
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const { provider } = makeProvider();
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createMock.mockResolvedValueOnce({
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choices: [
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{
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message: { content: 'hi there', role: 'assistant' },
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finish_reason: 'stop',
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||||
},
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||||
],
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usage: {
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prompt_tokens: 100,
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completion_tokens: 50,
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prompt_tokens_details: { cached_tokens: 10 },
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},
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});
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const result = await withTestActor(() =>
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provider.complete({
|
||||
model: 'kimi-k2.6',
|
||||
messages: [{ role: 'user', content: 'hi' }],
|
||||
}),
|
||||
);
|
||||
|
||||
expect(result).toMatchObject({
|
||||
message: { content: 'hi there', role: 'assistant' },
|
||||
finish_reason: 'stop',
|
||||
});
|
||||
expect((result as { usage: unknown }).usage).toEqual({
|
||||
prompt_tokens: 100,
|
||||
completion_tokens: 50,
|
||||
cached_tokens: 10,
|
||||
});
|
||||
|
||||
// kimi-k2.6 costs: prompt=95, completion=400, cached=16.
|
||||
const kimi = MOONSHOT_MODELS.find((m) => m.id === 'kimi-k2.6')!;
|
||||
expect(recordSpy).toHaveBeenCalledTimes(1);
|
||||
const [usage, actor, prefix, overrides] = recordSpy.mock.calls[0]!;
|
||||
expect(usage).toEqual({
|
||||
prompt_tokens: 100,
|
||||
completion_tokens: 50,
|
||||
cached_tokens: 10,
|
||||
});
|
||||
expect(actor).toBe(SYSTEM_ACTOR);
|
||||
expect(prefix).toBe('moonshotai:kimi-k2.6');
|
||||
expect(overrides).toEqual({
|
||||
prompt_tokens: 100 * Number(kimi.costs.prompt_tokens),
|
||||
completion_tokens: 50 * Number(kimi.costs.completion_tokens),
|
||||
cached_tokens: 10 * Number(kimi.costs.cached_tokens ?? 0),
|
||||
});
|
||||
});
|
||||
|
||||
it('preserves OpenAI-shaped tool_calls on the assistant response', async () => {
|
||||
const { provider } = makeProvider();
|
||||
createMock.mockResolvedValueOnce({
|
||||
choices: [
|
||||
{
|
||||
message: {
|
||||
role: 'assistant',
|
||||
content: null,
|
||||
tool_calls: [
|
||||
{
|
||||
id: 'call_1',
|
||||
type: 'function',
|
||||
function: {
|
||||
name: 'lookup',
|
||||
arguments: '{"q":"puter"}',
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
finish_reason: 'tool_calls',
|
||||
},
|
||||
],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1 },
|
||||
});
|
||||
|
||||
const result = (await withTestActor(() =>
|
||||
provider.complete({
|
||||
model: 'kimi-k2.6',
|
||||
messages: [{ role: 'user', content: 'do a tool call' }],
|
||||
tools: [
|
||||
{
|
||||
type: 'function',
|
||||
function: { name: 'lookup', parameters: {} },
|
||||
},
|
||||
],
|
||||
}),
|
||||
)) as { message: { tool_calls?: unknown[] }; finish_reason: string };
|
||||
|
||||
expect(result.finish_reason).toBe('tool_calls');
|
||||
expect(result.message.tool_calls).toEqual([
|
||||
{
|
||||
id: 'call_1',
|
||||
type: 'function',
|
||||
function: {
|
||||
name: 'lookup',
|
||||
arguments: '{"q":"puter"}',
|
||||
},
|
||||
},
|
||||
]);
|
||||
});
|
||||
|
||||
it('zeroes cached_tokens when prompt_tokens_details is missing', async () => {
|
||||
const { provider } = makeProvider();
|
||||
createMock.mockResolvedValueOnce({
|
||||
choices: [
|
||||
{
|
||||
message: { content: 'ok', role: 'assistant' },
|
||||
finish_reason: 'stop',
|
||||
},
|
||||
],
|
||||
usage: { prompt_tokens: 7, completion_tokens: 3 },
|
||||
});
|
||||
|
||||
await withTestActor(() =>
|
||||
provider.complete({
|
||||
model: 'kimi-k2.6',
|
||||
messages: [{ role: 'user', content: 'hi' }],
|
||||
}),
|
||||
);
|
||||
|
||||
const [usage, , , overrides] = recordSpy.mock.calls[0]!;
|
||||
expect(usage.cached_tokens).toBe(0);
|
||||
expect(overrides).toMatchObject({ cached_tokens: 0 });
|
||||
});
|
||||
});
|
||||
|
||||
// ── Streaming deltas ────────────────────────────────────────────────
|
||||
|
||||
describe('MoonshotProvider.complete streaming', () => {
|
||||
it('streams text deltas through to text events and meters final usage', async () => {
|
||||
const { provider } = makeProvider();
|
||||
createMock.mockReturnValueOnce(
|
||||
asAsyncIterable([
|
||||
{ choices: [{ delta: { content: 'hel' } }] },
|
||||
{ choices: [{ delta: { content: 'lo' } }] },
|
||||
{
|
||||
choices: [{ delta: {} }],
|
||||
usage: {
|
||||
prompt_tokens: 4,
|
||||
completion_tokens: 2,
|
||||
prompt_tokens_details: { cached_tokens: 1 },
|
||||
},
|
||||
},
|
||||
]),
|
||||
);
|
||||
|
||||
const result = await withTestActor(() =>
|
||||
provider.complete({
|
||||
model: 'kimi-k2.6',
|
||||
messages: [{ role: 'user', content: 'say hi' }],
|
||||
stream: true,
|
||||
}),
|
||||
);
|
||||
expect((result as { stream: boolean }).stream).toBe(true);
|
||||
|
||||
const harness = makeCapturingChatStream();
|
||||
await (
|
||||
result as {
|
||||
init_chat_stream: (p: { chatStream: unknown }) => Promise<void>;
|
||||
}
|
||||
).init_chat_stream({ chatStream: harness.chatStream });
|
||||
|
||||
const events = harness.events();
|
||||
const textEvents = events.filter((e) => e.type === 'text');
|
||||
expect(textEvents.map((e) => e.text)).toEqual(['hel', 'lo']);
|
||||
|
||||
const usageEvent = events.find((e) => e.type === 'usage');
|
||||
expect(usageEvent?.usage).toEqual({
|
||||
prompt_tokens: 4,
|
||||
completion_tokens: 2,
|
||||
cached_tokens: 1,
|
||||
});
|
||||
|
||||
const kimi = MOONSHOT_MODELS.find((m) => m.id === 'kimi-k2.6')!;
|
||||
expect(recordSpy).toHaveBeenCalledTimes(1);
|
||||
const [, , prefix, overrides] = recordSpy.mock.calls[0]!;
|
||||
expect(prefix).toBe('moonshotai:kimi-k2.6');
|
||||
expect(overrides).toEqual({
|
||||
prompt_tokens: 4 * Number(kimi.costs.prompt_tokens),
|
||||
completion_tokens: 2 * Number(kimi.costs.completion_tokens),
|
||||
cached_tokens: 1 * Number(kimi.costs.cached_tokens ?? 0),
|
||||
});
|
||||
});
|
||||
|
||||
it('builds a tool_use block from streamed function-call deltas', async () => {
|
||||
const { provider } = makeProvider();
|
||||
createMock.mockReturnValueOnce(
|
||||
asAsyncIterable([
|
||||
{
|
||||
choices: [
|
||||
{
|
||||
delta: {
|
||||
tool_calls: [
|
||||
{
|
||||
index: 0,
|
||||
id: 'call_1',
|
||||
function: {
|
||||
name: 'lookup',
|
||||
arguments: '{"q":',
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
choices: [
|
||||
{
|
||||
delta: {
|
||||
tool_calls: [
|
||||
{
|
||||
index: 0,
|
||||
function: { arguments: '"puter"}' },
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
],
|
||||
},
|
||||
{
|
||||
choices: [{ delta: {} }],
|
||||
usage: { prompt_tokens: 1, completion_tokens: 1 },
|
||||
},
|
||||
]),
|
||||
);
|
||||
|
||||
const result = await withTestActor(() =>
|
||||
provider.complete({
|
||||
model: 'kimi-k2.6',
|
||||
messages: [{ role: 'user', content: 'do tool call' }],
|
||||
tools: [
|
||||
{
|
||||
type: 'function',
|
||||
function: { name: 'lookup', parameters: {} },
|
||||
},
|
||||
],
|
||||
stream: true,
|
||||
}),
|
||||
);
|
||||
|
||||
const harness = makeCapturingChatStream();
|
||||
await (
|
||||
result as {
|
||||
init_chat_stream: (p: { chatStream: unknown }) => Promise<void>;
|
||||
}
|
||||
).init_chat_stream({ chatStream: harness.chatStream });
|
||||
|
||||
const events = harness.events();
|
||||
const toolEvent = events.find((e) => e.type === 'tool_use');
|
||||
expect(toolEvent).toBeDefined();
|
||||
expect(toolEvent?.id).toBe('call_1');
|
||||
expect(toolEvent?.name).toBe('lookup');
|
||||
expect(toolEvent?.input).toEqual({ q: 'puter' });
|
||||
});
|
||||
});
|
||||
|
||||
// ── Error mapping ───────────────────────────────────────────────────
|
||||
|
||||
describe('MoonshotProvider.complete error mapping', () => {
|
||||
it('logs and rethrows errors raised by the OpenAI client unchanged', async () => {
|
||||
const { provider } = makeProvider();
|
||||
const apiError = new Error('Moonshot exploded');
|
||||
createMock.mockRejectedValueOnce(apiError);
|
||||
const logSpy = vi.spyOn(console, 'log').mockImplementation(() => {});
|
||||
|
||||
await expect(
|
||||
withTestActor(() =>
|
||||
provider.complete({
|
||||
model: 'kimi-k2.6',
|
||||
messages: [{ role: 'user', content: 'boom' }],
|
||||
}),
|
||||
),
|
||||
).rejects.toBe(apiError);
|
||||
|
||||
expect(recordSpy).not.toHaveBeenCalled();
|
||||
expect(logSpy).toHaveBeenCalled();
|
||||
});
|
||||
});
|
||||
|
||||
// ── Moderation ──────────────────────────────────────────────────────
|
||||
|
||||
describe('MoonshotProvider.checkModeration', () => {
|
||||
it('throws — Moonshot provider does not implement moderation', () => {
|
||||
const { provider } = makeProvider();
|
||||
expect(() => provider.checkModeration('anything')).toThrow(
|
||||
/not implemented/i,
|
||||
);
|
||||
});
|
||||
});
|
||||
Reference in New Issue
Block a user