const https = require('https');

// Helper to call Groq Vision API (Llama 3.2 Vision)

async function analyzeImageWithGroq(apiKey, imageBuffer, mimeType, prompt, model = 'llama-3.2-11b-vision-preview') {

const base64Data = imageBuffer.toString('base64');

const mime = mimeType || 'image/jpeg';

const cleanModel = (model || 'llama-3.2-11b-vision-preview').trim();

const requestBody = JSON.stringify({

model: cleanModel,

messages: [

{

role: 'user',

content: [

{ type: 'text', text: prompt },

{

type: 'image_url',

image_url: {

url: `data:${mime};base64,${base64Data}`

}

}

]

}

],

max_tokens: 1500,

temperature: 0.2

});

return new Promise((resolve, reject) => {

const req = https.request('https://api.groq.com/openai/v1/chat/completions', {

method: 'POST',

headers: {

'Content-Type': 'application/json',

'Authorization': `Bearer ${apiKey.trim()}`,

'Content-Length': Buffer.byteLength(requestBody)

}

}, res => {

let data = '';

res.on('data', chunk => data += chunk);

res.on('end', () => {

try {

const parsed = JSON.parse(data);

if (parsed.error) {

return reject(new Error(parsed.error.message || 'Groq API Error'));

}

if (parsed.choices && parsed.choices[0] && parsed.choices[0].message) {

const text = parsed.choices[0].message.content.trim();

resolve(text);

} else {

reject(new Error('No response text generated by Groq Vision'));

}

} catch (e) {

reject(new Error('Invalid response from Groq API: ' + e.message));

}

});

});

req.on('error', reject);

req.write(requestBody);

req.end();

});

}

module.exports = { analyzeImageWithGroq };