chore: Remove unused grok and meta-chat API routes
This commit is contained in:
Khoa.vo
parent
e8978bb086
commit
072c7adf89
3 changed files with 0 additions and 366 deletions
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@ -1,54 +0,0 @@
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import { NextRequest, NextResponse } from 'next/server';
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const CRAWL_SERVICE_URL = 'http://127.0.0.1:8000';
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export async function POST(req: NextRequest) {
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try {
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const body = await req.json();
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const { message, history } = body;
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console.log(`[Grok Debug API] Incoming body:`, JSON.stringify(body, null, 2));
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const proxyPayload = {
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message,
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history: history || [],
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cookies: body.cookies || null,
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user_agent: body.userAgent || null
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};
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console.log(`[Grok Debug API] Proxy payload:`, JSON.stringify(proxyPayload, null, 2));
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const response = await fetch(`${CRAWL_SERVICE_URL}/grok/chat`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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},
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body: JSON.stringify(proxyPayload),
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});
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if (!response.ok) {
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const errorText = await response.text();
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console.error(`[Grok Debug API] Service error: ${response.status} ${errorText}`);
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try {
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// Try to parse detailed JSON error from FastAPI
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const errorJson = JSON.parse(errorText);
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return NextResponse.json(errorJson, { status: response.status });
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} catch {
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// Fallback to text
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return NextResponse.json(
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{ error: `Service error: ${response.status} - ${errorText}` },
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{ status: response.status }
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);
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}
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}
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const data = await response.json();
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return NextResponse.json(data);
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} catch (error: any) {
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console.error('[Grok Debug API] Internal error:', error);
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return NextResponse.json(
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{ error: error.message || 'Internal Server Error' },
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{ status: 500 }
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);
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}
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}
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@ -1,104 +0,0 @@
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import { NextRequest, NextResponse } from 'next/server';
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/**
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* Grok Image Generation API
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* Uses xLmiler/grok2api_python backend with OpenAI-compatible format
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*/
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export async function POST(req: NextRequest) {
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try {
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const body = await req.json();
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const { prompt, numImages = 1, grokApiUrl, apiKey, sso } = body;
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if (!prompt) {
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return NextResponse.json({ error: "Prompt is required" }, { status: 400 });
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}
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if (!grokApiUrl) {
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return NextResponse.json({ error: "Grok API URL not configured" }, { status: 400 });
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}
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console.log(`[Grok Image] Generating ${numImages} image(s) for: "${prompt.substring(0, 50)}..."`);
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// Call xLmiler backend using OpenAI-compatible format
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const headers: Record<string, string> = {
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'Content-Type': 'application/json',
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};
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if (apiKey) {
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headers['Authorization'] = `Bearer ${apiKey}`;
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}
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const response = await fetch(`${grokApiUrl}/v1/chat/completions`, {
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method: 'POST',
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headers,
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body: JSON.stringify({
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model: 'grok-4-imageGen',
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messages: [
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{
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role: 'user',
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content: prompt
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}
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],
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// The xLmiler backend handles image generation via chat completions
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})
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});
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if (!response.ok) {
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const errorText = await response.text();
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console.error('[Grok Image] Error:', response.status, errorText);
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return NextResponse.json(
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{ error: `Grok API Error: ${response.status} - ${errorText.substring(0, 200)}` },
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{ status: response.status }
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);
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}
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const data = await response.json();
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console.log('[Grok Image] Response:', JSON.stringify(data, null, 2).substring(0, 500));
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// Extract image URLs from the response
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// xLmiler returns images in the message content or as markdown images
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const content = data.choices?.[0]?.message?.content || '';
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// Parse image URLs from markdown format:  or direct URLs
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const imageUrls: string[] = [];
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// Match markdown image syntax
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const mdImageRegex = /!\[.*?\]\((https?:\/\/[^\s)]+)\)/g;
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let match;
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while ((match = mdImageRegex.exec(content)) !== null) {
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imageUrls.push(match[1]);
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}
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// Also match direct URLs
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const urlRegex = /https:\/\/[^\s"'<>]+\.(png|jpg|jpeg|webp|gif)/gi;
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while ((match = urlRegex.exec(content)) !== null) {
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if (!imageUrls.includes(match[0])) {
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imageUrls.push(match[0]);
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}
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}
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// Return images in our standard format
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const images = imageUrls.slice(0, numImages).map(url => ({
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url,
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prompt,
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model: 'grok-4-imageGen'
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}));
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if (images.length === 0) {
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// Return the raw content for debugging
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return NextResponse.json({
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error: "No images found in response",
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rawContent: content.substring(0, 500)
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}, { status: 500 });
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}
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return NextResponse.json({ images });
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} catch (error: any) {
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console.error('[Grok Image] Error:', error);
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return NextResponse.json(
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{ error: error.message || 'Generation failed' },
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{ status: 500 }
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);
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}
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}
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@ -1,208 +0,0 @@
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import { NextRequest, NextResponse } from 'next/server';
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import { MetaAIClient } from '@/lib/providers/meta-client';
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/**
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* Meta AI Chat API
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* Uses MetaAIClient directly (GraphQL-based) for Llama 3 chat
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* No external Crawl4AI service needed
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*/
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export async function POST(req: NextRequest) {
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try {
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const body = await req.json();
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const { message, history, metaCookies } = body;
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if (!message) {
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return NextResponse.json({ error: "Message is required" }, { status: 400 });
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}
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if (!metaCookies) {
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return NextResponse.json(
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{ error: "Meta AI cookies required. Configure in Settings." },
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{ status: 401 }
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);
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}
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console.log(`[Meta Chat] Message: "${message.substring(0, 50)}..."`);
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// Use MetaAIClient to send chat message
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// The Meta AI API is primarily designed for image generation,
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// but we can use it for text chat by not prefixing with "Imagine"
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const client = new MetaAIClient({ cookies: metaCookies });
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// For chat, we need to initialize session and send via GraphQL
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// Since MetaAIClient.generate() adds "Imagine" prefix for images,
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// we'll create a direct chat method or adapt the prompt
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// Send message directly - the response will contain text, not images
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const chatPrompt = message; // Don't add "Imagine" prefix for chat
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try {
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// Use the internal sendPrompt mechanism via generate
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// But we'll extract the text response instead of images
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const response = await sendMetaChatMessage(client, chatPrompt, metaCookies);
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return NextResponse.json({ response });
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} catch (chatError: any) {
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// If the direct approach fails, provide helpful error
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throw new Error(chatError.message || "Failed to get response from Meta AI");
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}
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} catch (error: any) {
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console.error('[Meta Chat] Error:', error);
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const msg = error.message || "";
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const isAuthError = msg.includes("401") || msg.includes("cookies") ||
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msg.includes("expired") || msg.includes("Login");
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return NextResponse.json(
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{ error: error.message || 'Internal Server Error' },
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{ status: isAuthError ? 401 : 500 }
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);
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}
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}
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/**
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* Send a chat message to Meta AI and extract text response
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*/
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async function sendMetaChatMessage(client: MetaAIClient, message: string, cookies: string): Promise<string> {
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const META_AI_BASE = "https://www.meta.ai";
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const GRAPHQL_ENDPOINT = `${META_AI_BASE}/api/graphql/`;
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// Normalize cookies from JSON array to string format
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const normalizedCookies = normalizeCookies(cookies);
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// First we need to get session tokens
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const sessionResponse = await fetch(META_AI_BASE, {
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headers: {
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"Cookie": normalizedCookies,
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
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}
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});
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const html = await sessionResponse.text();
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// Extract LSD token
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const lsdMatch = html.match(/\"LSD\",\[\],\{\"token\":\"([^\"]+)\"/) ||
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html.match(/\"lsd\":\"([^\"]+)\"/) ||
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html.match(/name=\"lsd\" value=\"([^\"]+)\"/);
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const lsd = lsdMatch?.[1] || '';
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// Extract access token
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const tokenMatch = html.match(/\"accessToken\":\"([^\"]+)\"/);
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const accessToken = tokenMatch?.[1];
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if (html.includes('login_form') || html.includes('login_page')) {
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throw new Error("Meta AI: Cookies expired. Please update in Settings.");
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}
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// Send chat message
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const variables = {
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message: {
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text: message,
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content_type: "TEXT"
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},
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source: "PDT_CHAT_INPUT",
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external_message_id: Math.random().toString(36).substring(2) + Date.now().toString(36)
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};
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const body = new URLSearchParams({
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fb_api_caller_class: "RelayModern",
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fb_api_req_friendly_name: "useAbraSendMessageMutation",
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variables: JSON.stringify(variables),
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doc_id: "7783822248314888",
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...(lsd && { lsd }),
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});
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const response = await fetch(GRAPHQL_ENDPOINT, {
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method: "POST",
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headers: {
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"Content-Type": "application/x-www-form-urlencoded",
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"Cookie": normalizedCookies,
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"Origin": META_AI_BASE,
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"Referer": `${META_AI_BASE}/`,
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"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36",
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"Sec-Fetch-Site": "same-origin",
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"Sec-Fetch-Mode": "cors",
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"Sec-Fetch-Dest": "empty",
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"Accept": "application/json",
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"Accept-Language": "en-US,en;q=0.9",
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...(accessToken && { "Authorization": `OAuth ${accessToken}` })
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},
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body: body.toString()
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});
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// Get response text first
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const responseText = await response.text();
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// Check if response is HTML (error page)
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if (responseText.trim().startsWith('<') || responseText.includes('<!DOCTYPE')) {
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console.error('[Meta Chat] Received HTML instead of JSON:', responseText.substring(0, 200));
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if (responseText.includes('login') || responseText.includes('checkpoint')) {
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throw new Error("Meta AI: Cookies expired or account requires verification. Please update cookies in Settings.");
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}
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throw new Error("Meta AI: Service returned an error page. Please try again later.");
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}
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if (!response.ok) {
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console.error('[Meta Chat] Response not OK:', response.status, responseText.substring(0, 200));
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throw new Error(`Meta AI Error: ${response.status}`);
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}
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// Parse JSON response
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let data;
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try {
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data = JSON.parse(responseText);
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} catch (e) {
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console.error('[Meta Chat] Failed to parse JSON:', responseText.substring(0, 200));
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throw new Error("Meta AI: Invalid response format. Please try again.");
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}
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// Extract text response from the GraphQL response
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const messageData = data?.data?.node?.bot_response_message ||
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data?.data?.xabraAIPreviewMessageSendMutation?.message;
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// Check for GraphQL errors
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if (data?.errors) {
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console.error('[Meta Chat] GraphQL errors:', JSON.stringify(data.errors));
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throw new Error("Meta AI: Request failed. " + (data.errors[0]?.message || "Unknown error"));
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}
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const textResponse = messageData?.text ||
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messageData?.snippet ||
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messageData?.message_text ||
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"I'm sorry, I couldn't generate a response.";
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return textResponse;
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}
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/**
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* Normalize cookies from JSON array format to header string format
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* Handles: [{name: "foo", value: "bar"}, ...] -> "foo=bar; ..."
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*/
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function normalizeCookies(cookies: string): string {
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if (!cookies) return '';
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try {
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const trimmed = cookies.trim();
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// Check if it's JSON array
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if (trimmed.startsWith('[')) {
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const parsed = JSON.parse(trimmed);
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if (Array.isArray(parsed)) {
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return parsed
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.map((c: any) => `${c.name}=${c.value}`)
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.join('; ');
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}
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}
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// Check if it's JSON object with multiple arrays (merged cookies)
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if (trimmed.startsWith('{')) {
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const parsed = JSON.parse(trimmed);
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// If it's an object, iterate values
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const entries = Object.entries(parsed)
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.map(([k, v]) => `${k}=${v}`)
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.join('; ');
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return entries;
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}
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} catch (e) {
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// Not JSON, assume it's already a string format
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}
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return cookies;
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}
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