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Sleeping
File size: 1,287 Bytes
4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 8820d6e e18b60d 8820d6e 4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 4127e08 e18b60d 4127e08 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | const handler = async (req, res) => {
try {
const { text, model = 'qwen3-max' } = req.query;
if (!text) {
return res.status(400).json({
success: false,
error: 'Missing required parameter: text'
});
}
const apiKey = process.env.QWEN;
if (!apiKey) {
return res.status(500).json({
success: false,
error: 'QWEN API key not configured'
});
}
const url = `https://qwen-azure.vercel.app/api/qwen?text=${encodeURIComponent(text)}&model=${model}&key=${apiKey}`;
const response = await fetch(url);
const result = await response.json();
if (!response.ok || !result.success) {
return res.status(response.status || 500).json({
success: false,
error: result.error || 'Failed to get response from Qwen API'
});
}
res.json({
author: "Herza",
success: true,
data: result.data
});
} catch (error) {
res.status(500).json({
success: false,
error: error.message
});
}
};
module.exports = {
name: 'Qwen AI',
description: 'Generate responses using Qwen AI',
type: 'GET',
routes: ['api/AI/qwen'],
tags: ['ai', 'qwen'],
main: ['AI'],
parameters: ['text', 'model', 'key'],
enabled: true,
handler
}; |