Venice AI Chat

// venice.js
const fetch = require("node-fetch")

async function chatVeniceAI(prompt, modelId = "zai-org-glm-4.6") {
    const url = 'https://outerface.venice.ai/api/inference/chat';

    const timestamp = new Date().toISOString().slice(0, 19) + '+08:00';
    const requestId = Math.random().toString(36).substring(2, 10);
    const conversationId = Math.random().toString(36).substring(2, 10).toUpperCase();

    const data = {
        conversationId: conversationId,
        characterId: "",
        clientProcessingTime: 1618,
        conversationType: "text",
        includeVeniceSystemPrompt: true,
        isCharacter: false,
        modelId: modelId,
        prompt: [{
            content: prompt,
            role: "user"
        }],
        reasoning: false,
        requestId: requestId,
        systemPrompt: "",
        temperature: 0.7,
        topP: 0.9,
        userId: "user_anon_1234568910",
        webEnabled: true,
        webScrapeEnabled: false
    };

    const headers = {
        'Host': 'outerface.venice.ai',
        'sec-ch-ua': '"Chromium";v="139", "Not;A=Brand";v="99"',
        'x-venice-locale': 'en',
        'sec-ch-ua-mobile': '?1',
        'user-agent': 'Mozilla/5.0 (Linux; Android 10; K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/139.0.0.0 Mobile Safari/537.36',
        'content-type': 'application/json',
        'x-venice-version': '[email protected]+b2d4cb6',
        'x-venice-timestamp': timestamp,
        'sec-ch-ua-platform': '"Android"',
        'accept': '*/*',
        'origin': 'https://venice.ai',
        'sec-fetch-site': 'same-site',
        'sec-fetch-mode': 'cors',
        'sec-fetch-dest': 'empty',
        'referer': 'https://venice.ai/',
        'accept-encoding': 'gzip, deflate, br',
        'accept-language': 'id-ID,id;q=0.9,en-US;q=0.8,en;q=0.7'
    };

    const response = await fetch(url, {
        method: 'POST',
        headers: headers,
        body: JSON.stringify(data)
    });

    if (!response.ok) {
        const errorText = await response.text();
        throw new Error(`HTTP ${response.status}: ${errorText}`);
    }

    const reader = response.body.getReader();
    const decoder = new TextDecoder();
    let fullResponse = '';

    while (true) {
        const { done, value } = await reader.read();
        if (done) break;

        const chunk = decoder.decode(value);
        const lines = chunk.split('\n');

        for (const line of lines) {
            if (line.trim()) {
                try {
                    const data = JSON.parse(line);
                    if (data.kind === 'content' && data.content) {
                        fullResponse += data.content;
                    }
                } catch (e) {
                    continue;
                }
            }
        }
    }

    return { success: true, response: fullResponse };
}