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* feat: support data retention for normal chats Add retentionMode config variable supporting "all" and "temporary" values. When "all" is set, data retention applies to all chats, not just temporary ones. Adds isTemporary field to conversations for proper filtering. Adapted to new TS method files in packages/data-schemas since upstream moved models out of api/models/. Based on danny-avila/LibreChat#10532 Co-Authored-By: WhammyLeaf <233105313+WhammyLeaf@users.noreply.github.com> (cherry picked from commit30109e90b0) * feat: extend data retention to files, tool calls, and shared links Add expiredAt field and TTL indexes to file, toolCall, and share schemas. Set expiredAt on tool calls, shared links, and file uploads when retentionMode is "all" or chat is temporary. (cherry picked from commit48973752d3) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * fix: lint/test (cherry picked from commit310c514e6a) * fix: address code review feedback for data retention PR Critical: - Fix BookmarkMenu crash: restore optional chaining on conversation - Fix migration hazard: backward-compatible sidebar filter that also checks expiredAt for documents without isTemporary field Major: - Add logging to getRetentionExpiry error path, align with tools.js - Add tests for retentionMode: ALL in saveConvo and saveMessage - Fix share route: apply expiredAt for temporary chats too by querying the conversation's isTemporary flag server-side - Add assertions for getRetentionExpiry mocks in process tests Minor: - Fix ChatRoute isTemporaryChat to be strictly boolean via Boolean() - Fix stale test description (expired -> temporary) - Comment out retentionMode default in example yaml - Simplify verbose if/else to isTemporary === true - Add compound index on { user: 1, isTemporary: 1 } - Remove narrating comment from process.spec.js Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> (cherry picked from commit6bad535f90) * chore: fix typescript (cherry picked from commit826527a46b) * fix: lint (cherry picked from commit77817e80ea) * fix: use mockSanitizeArtifactPath in retention test The 'getRetentionExpiry is called with the request object' test referenced an undefined `mockSanitizeFilename` identifier, breaking both lint (no-undef) and the test suite. Use the existing `mockSanitizeArtifactPath` mock that the surrounding tests already use, since `processCodeOutput` calls `sanitizeArtifactPath` (not `sanitizeFilename`) before invoking `getRetentionExpiry`. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> (cherry picked from commit52ea2da66d) * fix: forward isTemporary from client for retention on file uploads and tool calls Server-side `getRetentionExpiry` (file uploads) and the tool-call controller both read `req.body.isTemporary`, but the file upload multipart form and the tool-call payload did not include that field. In `retentionMode: temporary` (default), files uploaded and tool calls created from temporary chats were therefore retained indefinitely. Forward the Recoil `isTemporary` flag in both client paths so the existing server checks can fire correctly. `ToolParams` gains an optional `isTemporary` field. Addresses Codex P1 review feedback on PR #29. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> (cherry picked from commit7e937df05a) * test: stub store.isTemporary in useFileHandling test mocks Previous commit added `useRecoilValue(store.isTemporary)` to the hook. The test file mocks `~/store` with only `ephemeralAgentByConvoId` and does not stub `useRecoilValue`, so all 7 cases threw "Invalid argument to useRecoilValue: expected an atom or selector but got undefined". Add a stub default export with `isTemporary` and a `useRecoilValue` mock returning `false`. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com> (cherry picked from commiteb1609537d) * fix: harden data retention semantics * fix: provide sweep request context for expired files * fix: preserve temporary flags in all-retention updates * fix: honor assistant versions in retention sweeps * fix: retain non-temporary flags in all mode * fix: hide expired retained records * fix: propagate retained conversation expiry * fix: refresh meili retention cutoff * fix: prevent overlapping file sweeps * fix: show legacy retained conversations * fix: index legacy retained records * fix: harden retention cleanup edge cases * fix: count failed file storage sweeps * fix: preserve legacy temporary retention * fix: assign retention sweep worker deterministically * fix: hide expired shared links on reads * fix: prevent retention refresh after parent expiry * fix: break code output retention import cycle * fix: harden retention review findings * fix: ignore expired share duplicates * fix: reject expired retained share creation * fix: harden retention review edge cases * fix: address retention audit findings * fix: enforce expired conversation shares in all retention * fix: scope temporary upload flag to chat files * fix: address retention review findings * fix: address codex retention review findings * fix: tighten missing storage detection * test: remove unused file process spec bindings --------- Co-authored-by: WhammyLeaf <233105313+WhammyLeaf@users.noreply.github.com> Co-authored-by: Aron Gates <aron@muonspace.com> Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
399 lines
14 KiB
JavaScript
399 lines
14 KiB
JavaScript
/**
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* Regression tests for image tool agent mode — verifies that invoke() returns
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* a ToolMessage with base64 in artifact.content rather than serialized into content.
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*
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* Root cause: DALLE3/FluxAPI/StableDiffusion extend LangChain's Tool but did not
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* set responseFormat = 'content_and_artifact'. LangChain's invoke() would then
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* JSON.stringify the entire [content, artifact] tuple into ToolMessage.content,
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* dumping base64 into token counting and causing context exhaustion.
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*/
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const axios = require('axios');
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const OpenAI = require('openai');
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const undici = require('undici');
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const fetch = require('node-fetch');
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const { ContentTypes } = require('librechat-data-provider');
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const { ToolMessage } = require('@librechat/agents/langchain/messages');
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const StableDiffusionAPI = require('../StableDiffusion');
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const FluxAPI = require('../FluxAPI');
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const DALLE3 = require('../DALLE3');
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jest.mock('axios');
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jest.mock('openai');
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jest.mock('node-fetch');
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jest.mock('undici', () => ({
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ProxyAgent: jest.fn(),
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fetch: jest.fn(),
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}));
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jest.mock('@librechat/data-schemas', () => ({
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logger: { info: jest.fn(), warn: jest.fn(), debug: jest.fn(), error: jest.fn() },
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}));
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jest.mock('path', () => ({
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resolve: jest.fn(),
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join: jest.fn().mockReturnValue('/mock/path'),
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relative: jest.fn().mockReturnValue('relative/path'),
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extname: jest.fn().mockReturnValue('.png'),
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}));
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jest.mock('fs', () => ({
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existsSync: jest.fn().mockReturnValue(true),
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mkdirSync: jest.fn(),
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promises: { writeFile: jest.fn(), readFile: jest.fn(), unlink: jest.fn() },
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}));
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const FAKE_BASE64 = 'aGVsbG8=';
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const makeToolCall = (name, args) => ({
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id: 'call_test_123',
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name,
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args,
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type: 'tool_call',
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});
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describe('image tools - agent mode ToolMessage format', () => {
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const ENV_KEYS = ['DALLE_API_KEY', 'FLUX_API_KEY', 'SD_WEBUI_URL', 'PROXY'];
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let savedEnv = {};
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beforeEach(() => {
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jest.clearAllMocks();
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for (const key of ENV_KEYS) {
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savedEnv[key] = process.env[key];
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}
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process.env.DALLE_API_KEY = 'test-dalle-key';
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process.env.FLUX_API_KEY = 'test-flux-key';
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process.env.SD_WEBUI_URL = 'http://localhost:7860';
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delete process.env.PROXY;
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});
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afterEach(() => {
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for (const key of ENV_KEYS) {
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if (savedEnv[key] === undefined) {
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delete process.env[key];
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} else {
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process.env[key] = savedEnv[key];
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}
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}
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savedEnv = {};
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});
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describe('DALLE3', () => {
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beforeEach(() => {
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OpenAI.mockImplementation(() => ({
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images: {
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generate: jest.fn().mockResolvedValue({
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data: [{ url: 'https://example.com/image.png' }],
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}),
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},
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}));
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undici.fetch.mockResolvedValue({
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arrayBuffer: () => Promise.resolve(Buffer.from(FAKE_BASE64, 'base64')),
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});
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});
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it('sets responseFormat to content_and_artifact when isAgent is true', () => {
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const dalle = new DALLE3({ isAgent: true });
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expect(dalle.responseFormat).toBe('content_and_artifact');
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});
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it('does not set responseFormat when isAgent is false', () => {
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const dalle = new DALLE3({ isAgent: false, processFileURL: jest.fn() });
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expect(dalle.responseFormat).not.toBe('content_and_artifact');
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});
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it('keeps tenant context without retaining the request object', () => {
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const req = {
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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socket: {},
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};
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const dalle = new DALLE3({ isAgent: false, processFileURL: jest.fn(), req });
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expect(dalle.tenantId).toBe('tenant-a');
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expect(dalle.req).toBeUndefined();
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expect(dalle.retentionRequest).toEqual({
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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});
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});
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it('invoke() returns ToolMessage with base64 in artifact, not serialized in content', async () => {
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const dalle = new DALLE3({ isAgent: true });
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const result = await dalle.invoke(
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makeToolCall('dalle', {
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prompt: 'a box',
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quality: 'standard',
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size: '1024x1024',
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style: 'vivid',
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}),
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);
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expect(result).toBeInstanceOf(ToolMessage);
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const contentStr =
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typeof result.content === 'string' ? result.content : JSON.stringify(result.content);
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expect(contentStr).not.toContain(FAKE_BASE64);
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expect(result.artifact).toBeDefined();
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const artifactContent = result.artifact?.content;
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expect(Array.isArray(artifactContent)).toBe(true);
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expect(artifactContent[0].type).toBe(ContentTypes.IMAGE_URL);
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expect(artifactContent[0].image_url.url).toContain('base64');
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});
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it('invoke() returns ToolMessage with error string in content when API fails', async () => {
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OpenAI.mockImplementation(() => ({
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images: { generate: jest.fn().mockRejectedValue(new Error('API error')) },
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}));
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const dalle = new DALLE3({ isAgent: true });
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const result = await dalle.invoke(
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makeToolCall('dalle', {
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prompt: 'a box',
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quality: 'standard',
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size: '1024x1024',
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style: 'vivid',
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}),
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);
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expect(result).toBeInstanceOf(ToolMessage);
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const contentStr =
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typeof result.content === 'string' ? result.content : JSON.stringify(result.content);
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expect(contentStr).toContain('Something went wrong');
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expect(result.artifact).toBeDefined();
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});
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});
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describe('FluxAPI', () => {
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beforeEach(() => {
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jest.useFakeTimers();
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axios.post.mockResolvedValue({ data: { id: 'task-123' } });
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axios.get.mockResolvedValue({
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data: { status: 'Ready', result: { sample: 'https://example.com/image.png' } },
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});
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fetch.mockResolvedValue({
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arrayBuffer: () => Promise.resolve(Buffer.from(FAKE_BASE64, 'base64')),
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});
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});
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afterEach(() => {
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jest.useRealTimers();
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});
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it('sets responseFormat to content_and_artifact when isAgent is true', () => {
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const flux = new FluxAPI({ isAgent: true });
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expect(flux.responseFormat).toBe('content_and_artifact');
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});
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it('does not set responseFormat when isAgent is false', () => {
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const flux = new FluxAPI({ isAgent: false, processFileURL: jest.fn() });
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expect(flux.responseFormat).not.toBe('content_and_artifact');
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});
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it('keeps tenant context without retaining the request object', () => {
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const req = {
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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socket: {},
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};
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const flux = new FluxAPI({ isAgent: false, processFileURL: jest.fn(), req });
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expect(flux.tenantId).toBe('tenant-a');
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expect(flux.req).toBeUndefined();
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expect(flux.retentionRequest).toEqual({
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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});
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});
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it('passes minimal retention context when saving generated images', async () => {
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const processFileURL = jest.fn().mockResolvedValue({ filepath: '/images/generated.png' });
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const req = {
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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socket: {},
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};
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const flux = new FluxAPI({
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isAgent: false,
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processFileURL,
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req,
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userId: 'user-1',
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fileStrategy: 'local',
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});
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const invokePromise = flux.invoke(
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makeToolCall('flux', { prompt: 'a box', endpoint: '/v1/flux-dev' }),
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);
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await jest.runAllTimersAsync();
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await invokePromise;
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expect(processFileURL).toHaveBeenCalledWith(
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expect.objectContaining({
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req: {
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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},
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}),
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);
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});
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it('passes minimal retention context when saving finetuned generated images', async () => {
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const processFileURL = jest.fn().mockResolvedValue({ filepath: '/images/generated.png' });
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const req = {
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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socket: {},
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};
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const flux = new FluxAPI({
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isAgent: false,
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processFileURL,
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req,
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userId: 'user-1',
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fileStrategy: 'local',
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});
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const invokePromise = flux.invoke(
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makeToolCall('flux', {
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action: 'generate_finetuned',
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prompt: 'a box',
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finetune_id: 'ft-abc123',
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endpoint: '/v1/flux-pro-finetuned',
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}),
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);
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await jest.runAllTimersAsync();
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await invokePromise;
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expect(processFileURL).toHaveBeenCalledWith(
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expect.objectContaining({
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req: {
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user: { id: 'user-1', tenantId: 'tenant-a' },
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body: { conversationId: 'convo-1', isTemporary: 'true' },
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config: { interfaceConfig: { retentionMode: 'all' } },
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},
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}),
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);
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});
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it('invoke() returns ToolMessage with base64 in artifact, not serialized in content', async () => {
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const flux = new FluxAPI({ isAgent: true });
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const invokePromise = flux.invoke(
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makeToolCall('flux', { prompt: 'a box', endpoint: '/v1/flux-dev' }),
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);
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await jest.runAllTimersAsync();
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const result = await invokePromise;
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expect(result).toBeInstanceOf(ToolMessage);
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const contentStr =
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typeof result.content === 'string' ? result.content : JSON.stringify(result.content);
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expect(contentStr).not.toContain(FAKE_BASE64);
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expect(result.artifact).toBeDefined();
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const artifactContent = result.artifact?.content;
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expect(Array.isArray(artifactContent)).toBe(true);
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expect(artifactContent[0].type).toBe(ContentTypes.IMAGE_URL);
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expect(artifactContent[0].image_url.url).toContain('base64');
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});
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it('invoke() returns ToolMessage with base64 in artifact for generate_finetuned action', async () => {
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const flux = new FluxAPI({ isAgent: true });
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const invokePromise = flux.invoke(
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makeToolCall('flux', {
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action: 'generate_finetuned',
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prompt: 'a box',
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finetune_id: 'ft-abc123',
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endpoint: '/v1/flux-pro-finetuned',
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}),
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);
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await jest.runAllTimersAsync();
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const result = await invokePromise;
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expect(result).toBeInstanceOf(ToolMessage);
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const contentStr =
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typeof result.content === 'string' ? result.content : JSON.stringify(result.content);
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expect(contentStr).not.toContain(FAKE_BASE64);
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expect(result.artifact).toBeDefined();
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const artifactContent = result.artifact?.content;
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expect(Array.isArray(artifactContent)).toBe(true);
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expect(artifactContent[0].type).toBe(ContentTypes.IMAGE_URL);
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expect(artifactContent[0].image_url.url).toContain('base64');
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});
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it('invoke() returns ToolMessage with error string in content when task submission fails', async () => {
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axios.post.mockRejectedValue(new Error('Network error'));
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const flux = new FluxAPI({ isAgent: true });
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const invokePromise = flux.invoke(
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makeToolCall('flux', { prompt: 'a box', endpoint: '/v1/flux-dev' }),
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);
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await jest.runAllTimersAsync();
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const result = await invokePromise;
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expect(result).toBeInstanceOf(ToolMessage);
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const contentStr =
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typeof result.content === 'string' ? result.content : JSON.stringify(result.content);
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expect(contentStr).toContain('Something went wrong');
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expect(result.artifact).toBeDefined();
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});
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});
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describe('StableDiffusion', () => {
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beforeEach(() => {
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axios.post.mockResolvedValue({
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data: {
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images: [FAKE_BASE64],
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info: JSON.stringify({ height: 1024, width: 1024, seed: 42, infotexts: [] }),
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},
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});
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});
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it('sets responseFormat to content_and_artifact when isAgent is true', () => {
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const sd = new StableDiffusionAPI({ isAgent: true, override: true });
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expect(sd.responseFormat).toBe('content_and_artifact');
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});
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it('does not set responseFormat when isAgent is false', () => {
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const sd = new StableDiffusionAPI({
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isAgent: false,
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override: true,
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uploadImageBuffer: jest.fn(),
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});
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expect(sd.responseFormat).not.toBe('content_and_artifact');
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});
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it('invoke() returns ToolMessage with base64 in artifact, not serialized in content', async () => {
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const sd = new StableDiffusionAPI({ isAgent: true, override: true, userId: 'user-1' });
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const result = await sd.invoke(
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makeToolCall('stable-diffusion', { prompt: 'a box', negative_prompt: '' }),
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);
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expect(result).toBeInstanceOf(ToolMessage);
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const contentStr =
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typeof result.content === 'string' ? result.content : JSON.stringify(result.content);
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expect(contentStr).not.toContain(FAKE_BASE64);
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expect(result.artifact).toBeDefined();
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const artifactContent = result.artifact?.content;
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expect(Array.isArray(artifactContent)).toBe(true);
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expect(artifactContent[0].type).toBe(ContentTypes.IMAGE_URL);
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expect(artifactContent[0].image_url.url).toContain('base64');
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});
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it('invoke() returns ToolMessage with error string in content when API fails', async () => {
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axios.post.mockRejectedValue(new Error('Connection refused'));
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const sd = new StableDiffusionAPI({ isAgent: true, override: true, userId: 'user-1' });
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const result = await sd.invoke(
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makeToolCall('stable-diffusion', { prompt: 'a box', negative_prompt: '' }),
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);
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expect(result).toBeInstanceOf(ToolMessage);
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const contentStr =
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typeof result.content === 'string' ? result.content : JSON.stringify(result.content);
|
|
expect(contentStr).toContain('Error making API request');
|
|
});
|
|
});
|
|
});
|