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https://github.com/lobehub/lobehub.git
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✨ feat(cli): add generate command for text/image/video/tts/asr (#12799)
* ✨ feat(cli): add generate command for text/image/video/tts/asr LOBE-5711 - `lh generate text <prompt>` — LLM text completion with SSE streaming - Supports --model (provider/model format), --system, --temperature, --pipe - `lh generate image <prompt>` — Image generation via async task - `lh generate video <prompt>` — Video generation via async task - `lh generate tts <text>` — Text-to-speech (openai/microsoft/edge backends) - `lh generate asr <file>` — Speech-to-text via OpenAI Whisper - `lh generate status` — Check async generation task status - `lh generate list` — List generation topics - Add shared HTTP auth helper (api/http.ts) for webapi endpoints Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * update info * ♻️ refactor(cli): split generate command into submodules, text defaults non-streaming - Split monolithic generate.ts into generate/{index,text,image,video,tts,asr}.ts - Text subcommand now defaults to non-streaming (use --stream to opt in) - Text subcommand supports --json for full JSON response output - Video subcommand uses requiredOption for --model and --provider Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * 🐛 fix(cli): read generation data from result.data and add required X-lobe-chat-auth header Image/video mutations return { success, data: { ... } }, read IDs from data. WebAPI endpoints require X-lobe-chat-auth (XOR-encrypted) alongside Oidc-Auth. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Arvin Xu
@@ -1,6 +1,6 @@
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{
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"name": "@lobehub/cli",
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"version": "0.0.1-canary.3",
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"version": "0.0.1-canary.5",
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"type": "module",
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"bin": {
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"lh": "./dist/index.js"
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49
apps/cli/src/api/http.ts
Normal file
49
apps/cli/src/api/http.ts
Normal file
@@ -0,0 +1,49 @@
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import { getValidToken } from '../auth/refresh';
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import { log } from '../utils/logger';
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// Must match the server's SECRET_XOR_KEY (src/envs/auth.ts)
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const SECRET_XOR_KEY = 'LobeHub · LobeHub';
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/**
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* XOR-obfuscate a payload and encode as Base64.
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* The /webapi/* routes require `X-lobe-chat-auth` with this encoding.
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*/
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function obfuscatePayloadWithXOR(payload: Record<string, any>): string {
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const jsonString = JSON.stringify(payload);
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const dataBytes = new TextEncoder().encode(jsonString);
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const keyBytes = new TextEncoder().encode(SECRET_XOR_KEY);
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const result = new Uint8Array(dataBytes.length);
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for (let i = 0; i < dataBytes.length; i++) {
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result[i] = dataBytes[i] ^ keyBytes[i % keyBytes.length];
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}
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return btoa(String.fromCharCode(...result));
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}
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export interface AuthInfo {
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accessToken: string;
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/** Headers required for /webapi/* endpoints (includes both X-lobe-chat-auth and Oidc-Auth) */
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headers: Record<string, string>;
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serverUrl: string;
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}
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export async function getAuthInfo(): Promise<AuthInfo> {
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const result = await getValidToken();
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if (!result) {
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log.error("No authentication found. Run 'lh login' first.");
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process.exit(1);
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}
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const { serverUrl, accessToken } = result!.credentials;
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return {
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accessToken,
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headers: {
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'Content-Type': 'application/json',
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'Oidc-Auth': accessToken,
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'X-lobe-chat-auth': obfuscatePayloadWithXOR({}),
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},
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serverUrl: serverUrl.replace(/\/$/, ''),
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};
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}
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372
apps/cli/src/commands/generate.test.ts
Normal file
372
apps/cli/src/commands/generate.test.ts
Normal file
@@ -0,0 +1,372 @@
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import { Command } from 'commander';
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import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
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import { log } from '../utils/logger';
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import { registerGenerateCommand } from './generate';
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const { mockTrpcClient } = vi.hoisted(() => ({
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mockTrpcClient: {
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generation: {
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getGenerationStatus: { query: vi.fn() },
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},
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generationTopic: {
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createTopic: { mutate: vi.fn() },
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getAllGenerationTopics: { query: vi.fn() },
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},
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image: {
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createImage: { mutate: vi.fn() },
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},
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video: {
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createVideo: { mutate: vi.fn() },
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},
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},
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}));
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const { getTrpcClient: mockGetTrpcClient } = vi.hoisted(() => ({
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getTrpcClient: vi.fn(),
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}));
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const { getAuthInfo: mockGetAuthInfo } = vi.hoisted(() => ({
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getAuthInfo: vi.fn(),
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}));
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const { writeFileSync: mockWriteFileSync } = vi.hoisted(() => ({
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writeFileSync: vi.fn(),
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}));
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vi.mock('../api/client', () => ({ getTrpcClient: mockGetTrpcClient }));
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vi.mock('../api/http', () => ({ getAuthInfo: mockGetAuthInfo }));
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vi.mock('node:fs', async (importOriginal) => {
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const actual: Record<string, unknown> = await importOriginal();
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return { ...actual, writeFileSync: mockWriteFileSync };
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});
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vi.mock('../utils/logger', () => ({
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log: { debug: vi.fn(), error: vi.fn(), info: vi.fn(), warn: vi.fn() },
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setVerbose: vi.fn(),
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}));
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describe('generate command', () => {
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let exitSpy: ReturnType<typeof vi.spyOn>;
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let consoleSpy: ReturnType<typeof vi.spyOn>;
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let stdoutSpy: ReturnType<typeof vi.spyOn>;
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beforeEach(() => {
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exitSpy = vi.spyOn(process, 'exit').mockImplementation((() => {}) as any);
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consoleSpy = vi.spyOn(console, 'log').mockImplementation(() => {});
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stdoutSpy = vi.spyOn(process.stdout, 'write').mockImplementation(() => true);
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mockGetTrpcClient.mockResolvedValue(mockTrpcClient);
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mockGetAuthInfo.mockResolvedValue({
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accessToken: 'test-token',
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headers: {
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'Content-Type': 'application/json',
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'Oidc-Auth': 'test-token',
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'X-lobe-chat-auth': 'test-xor-token',
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},
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serverUrl: 'https://app.lobehub.com',
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});
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for (const router of Object.values(mockTrpcClient)) {
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for (const method of Object.values(router)) {
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for (const fn of Object.values(method)) {
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(fn as ReturnType<typeof vi.fn>).mockReset();
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}
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}
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}
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});
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afterEach(() => {
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exitSpy.mockRestore();
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consoleSpy.mockRestore();
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stdoutSpy.mockRestore();
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vi.restoreAllMocks();
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});
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function createProgram() {
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const program = new Command();
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program.exitOverride();
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registerGenerateCommand(program);
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return program;
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}
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describe('text', () => {
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it('should default to non-streaming and output plain text', async () => {
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vi.stubGlobal(
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'fetch',
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vi.fn().mockResolvedValue({
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json: vi.fn().mockResolvedValue({
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choices: [{ message: { content: 'Response text' } }],
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}),
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ok: true,
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}),
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);
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const program = createProgram();
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await program.parseAsync(['node', 'test', 'generate', 'text', 'Hello']);
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// Should send stream: false by default
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const fetchCall = vi.mocked(fetch).mock.calls[0];
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const body = JSON.parse(fetchCall[1]!.body as string);
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expect(body.stream).toBe(false);
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expect(stdoutSpy).toHaveBeenCalledWith('Response text');
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});
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it('should output JSON when --json is used', async () => {
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const responseBody = {
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choices: [{ message: { content: 'Hello' } }],
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model: 'gpt-4o-mini',
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usage: { completion_tokens: 5, prompt_tokens: 10 },
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};
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vi.stubGlobal(
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'fetch',
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vi.fn().mockResolvedValue({
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json: vi.fn().mockResolvedValue(responseBody),
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ok: true,
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}),
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);
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const program = createProgram();
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await program.parseAsync(['node', 'test', 'generate', 'text', 'Hello', '--json']);
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expect(consoleSpy).toHaveBeenCalledWith(JSON.stringify(responseBody, null, 2));
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});
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it('should stream when --stream is explicitly passed', async () => {
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const encoder = new TextEncoder();
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const stream = new ReadableStream({
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start(controller) {
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controller.enqueue(
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encoder.encode('data: {"choices":[{"delta":{"content":"Hello"}}]}\n\n'),
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);
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controller.enqueue(encoder.encode('data: [DONE]\n\n'));
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controller.close();
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},
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});
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vi.stubGlobal('fetch', vi.fn().mockResolvedValue({ body: stream, ok: true }));
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const program = createProgram();
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await program.parseAsync(['node', 'test', 'generate', 'text', 'Hi', '--stream']);
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const fetchCall = vi.mocked(fetch).mock.calls[0];
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const body = JSON.parse(fetchCall[1]!.body as string);
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expect(body.stream).toBe(true);
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expect(stdoutSpy).toHaveBeenCalledWith('Hello');
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});
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it('should parse provider from model string', async () => {
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vi.stubGlobal(
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'fetch',
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vi.fn().mockResolvedValue({
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json: vi.fn().mockResolvedValue({
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choices: [{ message: { content: 'ok' } }],
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}),
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ok: true,
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}),
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);
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const program = createProgram();
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await program.parseAsync([
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'node',
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'test',
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'generate',
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'text',
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'Hi',
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'--model',
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'anthropic/claude-3-haiku',
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]);
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expect(fetch).toHaveBeenCalledWith(
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'https://app.lobehub.com/webapi/chat/anthropic',
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expect.any(Object),
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);
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});
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it('should exit on error response', async () => {
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vi.stubGlobal(
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'fetch',
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vi.fn().mockResolvedValue({
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ok: false,
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status: 500,
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text: vi.fn().mockResolvedValue('Internal error'),
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}),
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);
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const program = createProgram();
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await program.parseAsync(['node', 'test', 'generate', 'text', 'fail']);
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expect(log.error).toHaveBeenCalledWith(expect.stringContaining('500'));
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expect(exitSpy).toHaveBeenCalledWith(1);
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});
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});
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describe('image', () => {
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it('should create image generation', async () => {
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mockTrpcClient.generationTopic.createTopic.mutate.mockResolvedValue('topic-1');
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mockTrpcClient.image.createImage.mutate.mockResolvedValue({
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data: {
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batch: { id: 'batch-1' },
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generations: [{ asyncTaskId: 'task-1', id: 'gen-1' }],
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},
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success: true,
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});
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const program = createProgram();
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await program.parseAsync([
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'node',
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'test',
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'generate',
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'image',
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'a cute cat',
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'--model',
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'dall-e-3',
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'--provider',
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'openai',
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]);
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expect(mockTrpcClient.generationTopic.createTopic.mutate).toHaveBeenCalledWith({
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type: 'image',
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});
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expect(mockTrpcClient.image.createImage.mutate).toHaveBeenCalledWith(
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expect.objectContaining({
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generationTopicId: 'topic-1',
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model: 'dall-e-3',
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params: { prompt: 'a cute cat' },
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provider: 'openai',
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}),
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);
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expect(consoleSpy).toHaveBeenCalledWith(expect.stringContaining('Image generation started'));
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});
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});
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describe('video', () => {
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it('should create video generation', async () => {
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mockTrpcClient.generationTopic.createTopic.mutate.mockResolvedValue('topic-2');
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mockTrpcClient.video.createVideo.mutate.mockResolvedValue({
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data: { generationId: 'gen-v1' },
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success: true,
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});
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const program = createProgram();
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await program.parseAsync([
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'node',
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'test',
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'generate',
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'video',
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'a dancing cat',
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'--model',
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'gen-3',
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'--provider',
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'runway',
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]);
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expect(mockTrpcClient.video.createVideo.mutate).toHaveBeenCalledWith(
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expect.objectContaining({
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generationTopicId: 'topic-2',
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model: 'gen-3',
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params: { prompt: 'a dancing cat' },
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provider: 'runway',
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}),
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);
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expect(consoleSpy).toHaveBeenCalledWith(expect.stringContaining('Video generation started'));
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});
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});
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describe('tts', () => {
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it('should call TTS endpoint and save file', async () => {
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const audioBuffer = new ArrayBuffer(100);
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vi.stubGlobal(
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'fetch',
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vi.fn().mockResolvedValue({
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arrayBuffer: vi.fn().mockResolvedValue(audioBuffer),
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ok: true,
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}),
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);
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const program = createProgram();
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await program.parseAsync([
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'node',
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'test',
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'generate',
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'tts',
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'Hello world',
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'--output',
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'/tmp/test.mp3',
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]);
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expect(fetch).toHaveBeenCalledWith(
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'https://app.lobehub.com/webapi/tts/openai',
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expect.objectContaining({ method: 'POST' }),
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);
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expect(mockWriteFileSync).toHaveBeenCalledWith('/tmp/test.mp3', expect.any(Buffer));
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expect(consoleSpy).toHaveBeenCalledWith(expect.stringContaining('Audio saved'));
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});
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it('should reject invalid backend', async () => {
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const program = createProgram();
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await program.parseAsync([
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'node',
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'test',
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'generate',
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'tts',
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'Hello',
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'--backend',
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'invalid',
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]);
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expect(log.error).toHaveBeenCalledWith(expect.stringContaining('Invalid backend'));
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expect(exitSpy).toHaveBeenCalledWith(1);
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});
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});
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describe('asr', () => {
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it('should exit when file not found', async () => {
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const program = createProgram();
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await program.parseAsync(['node', 'test', 'generate', 'asr', '/nonexistent/audio.mp3']);
|
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expect(log.error).toHaveBeenCalledWith(expect.stringContaining('not found'));
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expect(exitSpy).toHaveBeenCalledWith(1);
|
||||
});
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});
|
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|
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describe('status', () => {
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it('should show generation status', async () => {
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mockTrpcClient.generation.getGenerationStatus.query.mockResolvedValue({
|
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generation: { asset: { url: 'https://example.com/image.png' }, id: 'gen-1' },
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status: 'success',
|
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});
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|
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const program = createProgram();
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await program.parseAsync(['node', 'test', 'generate', 'status', 'gen-1', 'task-1']);
|
||||
|
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expect(mockTrpcClient.generation.getGenerationStatus.query).toHaveBeenCalledWith({
|
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asyncTaskId: 'task-1',
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generationId: 'gen-1',
|
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});
|
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expect(consoleSpy).toHaveBeenCalledWith(expect.stringContaining('success'));
|
||||
});
|
||||
});
|
||||
|
||||
describe('list', () => {
|
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it('should list generation topics', async () => {
|
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mockTrpcClient.generationTopic.getAllGenerationTopics.query.mockResolvedValue([
|
||||
{ id: 't1', title: 'My Images', type: 'image', updatedAt: new Date().toISOString() },
|
||||
]);
|
||||
|
||||
const program = createProgram();
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await program.parseAsync(['node', 'test', 'generate', 'list']);
|
||||
|
||||
expect(consoleSpy).toHaveBeenCalledTimes(2);
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expect(consoleSpy.mock.calls[0][0]).toContain('ID');
|
||||
});
|
||||
|
||||
it('should show message when empty', async () => {
|
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mockTrpcClient.generationTopic.getAllGenerationTopics.query.mockResolvedValue([]);
|
||||
|
||||
const program = createProgram();
|
||||
await program.parseAsync(['node', 'test', 'generate', 'list']);
|
||||
|
||||
expect(consoleSpy).toHaveBeenCalledWith('No generation topics found.');
|
||||
});
|
||||
});
|
||||
});
|
||||
77
apps/cli/src/commands/generate/asr.ts
Normal file
77
apps/cli/src/commands/generate/asr.ts
Normal file
@@ -0,0 +1,77 @@
|
||||
import { createReadStream, existsSync } from 'node:fs';
|
||||
import path from 'node:path';
|
||||
|
||||
import type { Command } from 'commander';
|
||||
|
||||
import { getAuthInfo } from '../../api/http';
|
||||
import { log } from '../../utils/logger';
|
||||
|
||||
export function registerAsrCommand(parent: Command) {
|
||||
parent
|
||||
.command('asr <audio-file>')
|
||||
.description('Convert speech to text (automatic speech recognition)')
|
||||
.option('--model <model>', 'STT model', 'whisper-1')
|
||||
.option('--language <lang>', 'Language code (e.g. en, zh)')
|
||||
.option('--json', 'Output raw JSON')
|
||||
.action(
|
||||
async (
|
||||
audioFile: string,
|
||||
options: {
|
||||
json?: boolean;
|
||||
language?: string;
|
||||
model: string;
|
||||
},
|
||||
) => {
|
||||
if (!existsSync(audioFile)) {
|
||||
log.error(`File not found: ${audioFile}`);
|
||||
process.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
const { serverUrl, headers } = await getAuthInfo();
|
||||
|
||||
const sttOptions: Record<string, any> = { model: options.model };
|
||||
if (options.language) sttOptions.language = options.language;
|
||||
|
||||
const formData = new FormData();
|
||||
const fileBuffer = await readFileAsBlob(audioFile);
|
||||
formData.append('speech', fileBuffer, path.basename(audioFile));
|
||||
formData.append('options', JSON.stringify(sttOptions));
|
||||
|
||||
// Remove Content-Type for multipart/form-data (let fetch set it with boundary)
|
||||
const { 'Content-Type': _, ...formHeaders } = headers;
|
||||
|
||||
const res = await fetch(`${serverUrl}/webapi/stt/openai`, {
|
||||
body: formData,
|
||||
headers: formHeaders,
|
||||
method: 'POST',
|
||||
});
|
||||
|
||||
if (!res.ok) {
|
||||
const errText = await res.text();
|
||||
log.error(`ASR failed: ${res.status} ${errText}`);
|
||||
process.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
const result = await res.json();
|
||||
|
||||
if (options.json) {
|
||||
console.log(JSON.stringify(result, null, 2));
|
||||
} else {
|
||||
const text = (result as any).text || JSON.stringify(result);
|
||||
process.stdout.write(text);
|
||||
process.stdout.write('\n');
|
||||
}
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
async function readFileAsBlob(filePath: string): Promise<Blob> {
|
||||
const chunks: Uint8Array[] = [];
|
||||
const stream = createReadStream(filePath);
|
||||
for await (const chunk of stream) {
|
||||
chunks.push(chunk as Uint8Array);
|
||||
}
|
||||
return new Blob(chunks);
|
||||
}
|
||||
76
apps/cli/src/commands/generate/image.ts
Normal file
76
apps/cli/src/commands/generate/image.ts
Normal file
@@ -0,0 +1,76 @@
|
||||
import type { Command } from 'commander';
|
||||
import pc from 'picocolors';
|
||||
|
||||
import { getTrpcClient } from '../../api/client';
|
||||
|
||||
export function registerImageCommand(parent: Command) {
|
||||
parent
|
||||
.command('image <prompt>')
|
||||
.description('Generate an image from text')
|
||||
.option('-m, --model <model>', 'Model ID', 'dall-e-3')
|
||||
.option('-p, --provider <provider>', 'Provider name', 'openai')
|
||||
.option('-n, --num <n>', 'Number of images', '1')
|
||||
.option('--width <px>', 'Width in pixels')
|
||||
.option('--height <px>', 'Height in pixels')
|
||||
.option('--steps <n>', 'Number of steps')
|
||||
.option('--seed <n>', 'Random seed')
|
||||
.option('--json', 'Output raw JSON')
|
||||
.action(
|
||||
async (
|
||||
prompt: string,
|
||||
options: {
|
||||
height?: string;
|
||||
json?: boolean;
|
||||
model: string;
|
||||
num: string;
|
||||
provider: string;
|
||||
seed?: string;
|
||||
steps?: string;
|
||||
width?: string;
|
||||
},
|
||||
) => {
|
||||
const client = await getTrpcClient();
|
||||
|
||||
// Create a generation topic first
|
||||
const topicId = await client.generationTopic.createTopic.mutate({ type: 'image' });
|
||||
|
||||
const params: Record<string, any> = { prompt };
|
||||
if (options.width) params.width = Number.parseInt(options.width, 10);
|
||||
if (options.height) params.height = Number.parseInt(options.height, 10);
|
||||
if (options.steps) params.steps = Number.parseInt(options.steps, 10);
|
||||
if (options.seed) params.seed = Number.parseInt(options.seed, 10);
|
||||
|
||||
const result = await client.image.createImage.mutate({
|
||||
generationTopicId: topicId as string,
|
||||
imageNum: Number.parseInt(options.num, 10),
|
||||
model: options.model,
|
||||
params,
|
||||
provider: options.provider,
|
||||
});
|
||||
|
||||
const r = result as any;
|
||||
if (options.json) {
|
||||
console.log(JSON.stringify(r, null, 2));
|
||||
return;
|
||||
}
|
||||
|
||||
const data = r.data || r;
|
||||
console.log(`${pc.green('✓')} Image generation started`);
|
||||
if (data.batch?.id) console.log(` Batch ID: ${pc.bold(data.batch.id)}`);
|
||||
|
||||
const generations = data.generations || [];
|
||||
if (generations.length > 0) {
|
||||
console.log(` ${generations.length} image(s) queued`);
|
||||
for (const gen of generations) {
|
||||
if (gen.asyncTaskId) {
|
||||
console.log(` Generation ${pc.bold(gen.id)} → Task ${pc.dim(gen.asyncTaskId)}`);
|
||||
}
|
||||
}
|
||||
console.log();
|
||||
console.log(
|
||||
pc.dim('Use "lh generate status <generationId> <taskId>" to check progress.'),
|
||||
);
|
||||
}
|
||||
},
|
||||
);
|
||||
}
|
||||
104
apps/cli/src/commands/generate/index.ts
Normal file
104
apps/cli/src/commands/generate/index.ts
Normal file
@@ -0,0 +1,104 @@
|
||||
import type { Command } from 'commander';
|
||||
import pc from 'picocolors';
|
||||
|
||||
import { getTrpcClient } from '../../api/client';
|
||||
import { outputJson, printTable, timeAgo, truncate } from '../../utils/format';
|
||||
import { registerAsrCommand } from './asr';
|
||||
import { registerImageCommand } from './image';
|
||||
import { registerTextCommand } from './text';
|
||||
import { registerTtsCommand } from './tts';
|
||||
import { registerVideoCommand } from './video';
|
||||
|
||||
export function registerGenerateCommand(program: Command) {
|
||||
const generate = program
|
||||
.command('generate')
|
||||
.alias('gen')
|
||||
.description('Generate content (text, image, video, speech)');
|
||||
|
||||
registerTextCommand(generate);
|
||||
registerImageCommand(generate);
|
||||
registerVideoCommand(generate);
|
||||
registerTtsCommand(generate);
|
||||
registerAsrCommand(generate);
|
||||
|
||||
// ── status ──────────────────────────────────────────
|
||||
generate
|
||||
.command('status <generationId> <taskId>')
|
||||
.description('Check generation task status')
|
||||
.option('--json', 'Output raw JSON')
|
||||
.action(async (generationId: string, taskId: string, options: { json?: boolean }) => {
|
||||
const client = await getTrpcClient();
|
||||
const result = await client.generation.getGenerationStatus.query({
|
||||
asyncTaskId: taskId,
|
||||
generationId,
|
||||
});
|
||||
|
||||
if (options.json) {
|
||||
console.log(JSON.stringify(result, null, 2));
|
||||
return;
|
||||
}
|
||||
|
||||
const r = result as any;
|
||||
console.log(`Status: ${colorStatus(r.status)}`);
|
||||
if (r.error) {
|
||||
console.log(`Error: ${pc.red(r.error.message || JSON.stringify(r.error))}`);
|
||||
}
|
||||
if (r.generation) {
|
||||
const gen = r.generation;
|
||||
console.log(` ID: ${gen.id}`);
|
||||
if (gen.asset?.url) console.log(` URL: ${gen.asset.url}`);
|
||||
if (gen.asset?.thumbnailUrl) console.log(` Thumb: ${gen.asset.thumbnailUrl}`);
|
||||
}
|
||||
});
|
||||
|
||||
// ── list ────────────────────────────────────────────
|
||||
generate
|
||||
.command('list')
|
||||
.description('List generation topics')
|
||||
.option('--json [fields]', 'Output JSON, optionally specify fields (comma-separated)')
|
||||
.action(async (options: { json?: string | boolean }) => {
|
||||
const client = await getTrpcClient();
|
||||
const result = await client.generationTopic.getAllGenerationTopics.query();
|
||||
const items = Array.isArray(result) ? result : [];
|
||||
|
||||
if (options.json !== undefined) {
|
||||
const fields = typeof options.json === 'string' ? options.json : undefined;
|
||||
outputJson(items, fields);
|
||||
return;
|
||||
}
|
||||
|
||||
if (items.length === 0) {
|
||||
console.log('No generation topics found.');
|
||||
return;
|
||||
}
|
||||
|
||||
const rows = items.map((t: any) => [
|
||||
t.id || '',
|
||||
truncate(t.title || 'Untitled', 40),
|
||||
t.type || '',
|
||||
t.updatedAt ? timeAgo(t.updatedAt) : '',
|
||||
]);
|
||||
|
||||
printTable(rows, ['ID', 'TITLE', 'TYPE', 'UPDATED']);
|
||||
});
|
||||
}
|
||||
|
||||
export function colorStatus(status: string): string {
|
||||
switch (status) {
|
||||
case 'success': {
|
||||
return pc.green(status);
|
||||
}
|
||||
case 'error': {
|
||||
return pc.red(status);
|
||||
}
|
||||
case 'processing': {
|
||||
return pc.yellow(status);
|
||||
}
|
||||
case 'pending': {
|
||||
return pc.cyan(status);
|
||||
}
|
||||
default: {
|
||||
return status;
|
||||
}
|
||||
}
|
||||
}
|
||||
146
apps/cli/src/commands/generate/text.ts
Normal file
146
apps/cli/src/commands/generate/text.ts
Normal file
@@ -0,0 +1,146 @@
|
||||
import type { Command } from 'commander';
|
||||
|
||||
import { getAuthInfo } from '../../api/http';
|
||||
import { log } from '../../utils/logger';
|
||||
|
||||
export function registerTextCommand(parent: Command) {
|
||||
parent
|
||||
.command('text <prompt>')
|
||||
.description('Generate text with an LLM (single completion, no tools)')
|
||||
.option('-m, --model <model>', 'Model ID (provider/model format)', 'openai/gpt-4o-mini')
|
||||
.option('-p, --provider <provider>', 'Provider name (derived from model if omitted)')
|
||||
.option('-s, --system <prompt>', 'System prompt')
|
||||
.option('--temperature <n>', 'Temperature (0-2)')
|
||||
.option('--max-tokens <n>', 'Maximum output tokens')
|
||||
.option('--stream', 'Enable streaming (SSE, renders incrementally)')
|
||||
.option('--json', 'Output full JSON response')
|
||||
.option('--pipe', 'Pipe mode: read additional context from stdin')
|
||||
.action(
|
||||
async (
|
||||
prompt: string,
|
||||
options: {
|
||||
json?: boolean;
|
||||
maxTokens?: string;
|
||||
model: string;
|
||||
pipe?: boolean;
|
||||
provider?: string;
|
||||
stream?: boolean;
|
||||
system?: string;
|
||||
temperature?: string;
|
||||
},
|
||||
) => {
|
||||
// Resolve provider from model if not specified
|
||||
const parts = options.model.split('/');
|
||||
const provider = options.provider || (parts.length > 1 ? parts[0] : 'openai');
|
||||
const model = parts.length > 1 ? parts.slice(1).join('/') : options.model;
|
||||
|
||||
// Read additional input from stdin if --pipe
|
||||
let fullPrompt = prompt;
|
||||
if (options.pipe) {
|
||||
const chunks: Buffer[] = [];
|
||||
for await (const chunk of process.stdin) {
|
||||
chunks.push(chunk as Buffer);
|
||||
}
|
||||
const stdinContent = Buffer.concat(chunks).toString('utf8').trim();
|
||||
if (stdinContent) {
|
||||
fullPrompt = `${prompt}\n\n${stdinContent}`;
|
||||
}
|
||||
}
|
||||
|
||||
const messages: Array<{ content: string; role: string }> = [];
|
||||
if (options.system) {
|
||||
messages.push({ content: options.system, role: 'system' });
|
||||
}
|
||||
messages.push({ content: fullPrompt, role: 'user' });
|
||||
|
||||
const useStream = options.stream === true;
|
||||
|
||||
const payload: Record<string, any> = {
|
||||
messages,
|
||||
model,
|
||||
stream: useStream,
|
||||
};
|
||||
if (options.temperature) payload.temperature = Number.parseFloat(options.temperature);
|
||||
if (options.maxTokens) payload.max_tokens = Number.parseInt(options.maxTokens, 10);
|
||||
|
||||
const { serverUrl, headers } = await getAuthInfo();
|
||||
|
||||
const res = await fetch(`${serverUrl}/webapi/chat/${provider}`, {
|
||||
body: JSON.stringify(payload),
|
||||
headers,
|
||||
method: 'POST',
|
||||
});
|
||||
|
||||
if (!res.ok) {
|
||||
const text = await res.text();
|
||||
log.error(`Text generation failed: ${res.status} ${text}`);
|
||||
process.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
if (!useStream) {
|
||||
const body = await res.json();
|
||||
if (options.json) {
|
||||
console.log(JSON.stringify(body, null, 2));
|
||||
} else {
|
||||
const content = (body as any).choices?.[0]?.message?.content || JSON.stringify(body);
|
||||
process.stdout.write(content);
|
||||
process.stdout.write('\n');
|
||||
}
|
||||
return;
|
||||
}
|
||||
|
||||
// Stream SSE response
|
||||
if (!res.body) {
|
||||
log.error('No response body received');
|
||||
process.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
await streamSSEResponse(res.body, options.json);
|
||||
},
|
||||
);
|
||||
}
|
||||
|
||||
async function streamSSEResponse(body: ReadableStream<Uint8Array>, json?: boolean): Promise<void> {
|
||||
const reader = body.getReader();
|
||||
const decoder = new TextDecoder();
|
||||
let buffer = '';
|
||||
|
||||
try {
|
||||
while (true) {
|
||||
const { done, value } = await reader.read();
|
||||
if (done) break;
|
||||
|
||||
buffer += decoder.decode(value, { stream: true });
|
||||
const lines = buffer.split('\n');
|
||||
buffer = lines.pop() || '';
|
||||
|
||||
for (const line of lines) {
|
||||
if (!line.startsWith('data:')) continue;
|
||||
const data = line.slice(5).trim();
|
||||
if (data === '[DONE]') {
|
||||
if (!json) process.stdout.write('\n');
|
||||
return;
|
||||
}
|
||||
|
||||
try {
|
||||
const parsed = JSON.parse(data);
|
||||
if (json) {
|
||||
console.log(JSON.stringify(parsed));
|
||||
} else {
|
||||
const content = parsed.choices?.[0]?.delta?.content;
|
||||
if (content) process.stdout.write(content);
|
||||
}
|
||||
} catch {
|
||||
// Not JSON, might be raw text chunk
|
||||
if (!json) process.stdout.write(data);
|
||||
}
|
||||
}
|
||||
}
|
||||
// Final newline
|
||||
if (!json) process.stdout.write('\n');
|
||||
} finally {
|
||||
reader.releaseLock();
|
||||
}
|
||||
}
|
||||
69
apps/cli/src/commands/generate/tts.ts
Normal file
69
apps/cli/src/commands/generate/tts.ts
Normal file
@@ -0,0 +1,69 @@
|
||||
import { writeFileSync } from 'node:fs';
|
||||
|
||||
import type { Command } from 'commander';
|
||||
import pc from 'picocolors';
|
||||
|
||||
import { getAuthInfo } from '../../api/http';
|
||||
import { log } from '../../utils/logger';
|
||||
|
||||
export function registerTtsCommand(parent: Command) {
|
||||
parent
|
||||
.command('tts <text>')
|
||||
.description('Convert text to speech')
|
||||
.option('-o, --output <file>', 'Output audio file path', 'output.mp3')
|
||||
.option('--voice <voice>', 'Voice name', 'alloy')
|
||||
.option('--speed <n>', 'Speed multiplier (0.25-4.0)', '1')
|
||||
.option('--model <model>', 'TTS model', 'tts-1')
|
||||
.option('--backend <backend>', 'TTS backend: openai, microsoft, edge', 'openai')
|
||||
.action(
|
||||
async (
|
||||
text: string,
|
||||
options: {
|
||||
backend: string;
|
||||
model: string;
|
||||
output: string;
|
||||
speed: string;
|
||||
voice: string;
|
||||
},
|
||||
) => {
|
||||
const backends = ['openai', 'microsoft', 'edge'];
|
||||
if (!backends.includes(options.backend)) {
|
||||
log.error(`Invalid backend. Must be one of: ${backends.join(', ')}`);
|
||||
process.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
const { serverUrl, headers } = await getAuthInfo();
|
||||
|
||||
const payload: Record<string, any> = {
|
||||
input: text,
|
||||
model: options.model,
|
||||
options: {
|
||||
model: options.model,
|
||||
voice: options.voice,
|
||||
},
|
||||
speed: Number.parseFloat(options.speed),
|
||||
voice: options.voice,
|
||||
};
|
||||
|
||||
const res = await fetch(`${serverUrl}/webapi/tts/${options.backend}`, {
|
||||
body: JSON.stringify(payload),
|
||||
headers,
|
||||
method: 'POST',
|
||||
});
|
||||
|
||||
if (!res.ok) {
|
||||
const errText = await res.text();
|
||||
log.error(`TTS failed: ${res.status} ${errText}`);
|
||||
process.exit(1);
|
||||
return;
|
||||
}
|
||||
|
||||
const buffer = Buffer.from(await res.arrayBuffer());
|
||||
writeFileSync(options.output, buffer);
|
||||
console.log(
|
||||
`${pc.green('✓')} Audio saved to ${pc.bold(options.output)} (${Math.round(buffer.length / 1024)}KB)`,
|
||||
);
|
||||
},
|
||||
);
|
||||
}
|
||||
62
apps/cli/src/commands/generate/video.ts
Normal file
62
apps/cli/src/commands/generate/video.ts
Normal file
@@ -0,0 +1,62 @@
|
||||
import type { Command } from 'commander';
|
||||
import pc from 'picocolors';
|
||||
|
||||
import { getTrpcClient } from '../../api/client';
|
||||
|
||||
export function registerVideoCommand(parent: Command) {
|
||||
parent
|
||||
.command('video <prompt>')
|
||||
.description('Generate a video from text')
|
||||
.requiredOption('-m, --model <model>', 'Model ID')
|
||||
.requiredOption('-p, --provider <provider>', 'Provider name')
|
||||
.option('--aspect-ratio <ratio>', 'Aspect ratio (e.g. 16:9)')
|
||||
.option('--duration <sec>', 'Duration in seconds')
|
||||
.option('--resolution <res>', 'Resolution (e.g. 720p, 1080p)')
|
||||
.option('--seed <n>', 'Random seed')
|
||||
.option('--json', 'Output raw JSON')
|
||||
.action(
|
||||
async (
|
||||
prompt: string,
|
||||
options: {
|
||||
aspectRatio?: string;
|
||||
duration?: string;
|
||||
json?: boolean;
|
||||
model: string;
|
||||
provider: string;
|
||||
resolution?: string;
|
||||
seed?: string;
|
||||
},
|
||||
) => {
|
||||
const client = await getTrpcClient();
|
||||
const topicId = await client.generationTopic.createTopic.mutate({ type: 'video' });
|
||||
|
||||
const params: Record<string, any> = { prompt };
|
||||
if (options.aspectRatio) params.aspectRatio = options.aspectRatio;
|
||||
if (options.duration) params.duration = Number.parseInt(options.duration, 10);
|
||||
if (options.resolution) params.resolution = options.resolution;
|
||||
if (options.seed) params.seed = Number.parseInt(options.seed, 10);
|
||||
|
||||
const result = await client.video.createVideo.mutate({
|
||||
generationTopicId: topicId as string,
|
||||
model: options.model,
|
||||
params,
|
||||
provider: options.provider,
|
||||
});
|
||||
|
||||
const r = result as any;
|
||||
if (options.json) {
|
||||
console.log(JSON.stringify(r, null, 2));
|
||||
return;
|
||||
}
|
||||
|
||||
const data = r.data || r;
|
||||
console.log(`${pc.green('✓')} Video generation started`);
|
||||
if (data.generationId) {
|
||||
console.log(` Generation ID: ${pc.bold(data.generationId)}`);
|
||||
}
|
||||
console.log(
|
||||
pc.dim('Video generation runs asynchronously. Check status or wait for notification.'),
|
||||
);
|
||||
},
|
||||
);
|
||||
}
|
||||
@@ -5,6 +5,7 @@ import { registerConfigCommand } from './commands/config';
|
||||
import { registerConnectCommand } from './commands/connect';
|
||||
import { registerDocCommand } from './commands/doc';
|
||||
import { registerFileCommand } from './commands/file';
|
||||
import { registerGenerateCommand } from './commands/generate';
|
||||
import { registerKbCommand } from './commands/kb';
|
||||
import { registerLoginCommand } from './commands/login';
|
||||
import { registerLogoutCommand } from './commands/logout';
|
||||
@@ -34,6 +35,7 @@ registerSearchCommand(program);
|
||||
registerKbCommand(program);
|
||||
registerMemoryCommand(program);
|
||||
registerAgentCommand(program);
|
||||
registerGenerateCommand(program);
|
||||
registerFileCommand(program);
|
||||
registerSkillCommand(program);
|
||||
registerTopicCommand(program);
|
||||
|
||||
Reference in New Issue
Block a user