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const express = require('express')
const bodyParser = require('body-parser')
const axios = require('axios')
const app = express()
const uuid = require('uuid')
const { uploadImage } = require('./image')
app.use(bodyParser.json())
// 设置上传文件大小限制
app.use(bodyParser.json({ limit: '50mb' }))
app.use(bodyParser.urlencoded({ limit: '50mb', extended: true }))
app.get('/v1/models', async (req, res) => {
try {
const response = await axios.get('https://chat.qwenlm.ai/api/models',
{
headers: {
"Authorization": req.headers.authorization,
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
}
})
res.json(response.data)
} catch (error) {
res.status(403)
.json({
error: "请提供正确的 Authorization token"
})
}
})
app.post('/v1/chat/completions', async (req, res) => {
if (!req.headers.authorization) {
return res.status(403)
.json({
error: "请提供正确的 Authorization token"
})
}
const messages = req.body.messages
let imageId = null
const isImageMessage = Array.isArray(messages[messages.length - 1].content) === true && messages[messages.length - 1].content[1].image_url.url
if (isImageMessage) {
imageId = await uploadImage(messages[messages.length - 1].content[1].image_url.url, req.headers.authorization)
messages[messages.length - 1].content[1] = {
"type": "image",
"image": imageId
}
}
const stream = req.body.stream
const notStreamResponse = async (response) => {
const bodyTemplate = {
"id": `chatcmpl-${uuid.v4()}`,
"object": "chat.completion",
"created": new Date().getTime(),
"model": req.body.model,
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": response.choices[0].message.content
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": JSON.stringify(req.body.messages).length,
"completion_tokens": response.choices[0].message.content.length,
"total_tokens": JSON.stringify(req.body.messages).length + response.choices[0].message.content.length
}
}
res.json(bodyTemplate)
}
const streamResponse = async (response) => {
const id = uuid.v4()
const decoder = new TextDecoder('utf-8')
let backContent = null
response.on('data', (chunk) => {
const decodeText = decoder.decode(chunk)
const lists = decodeText.split('\n').filter(item => item.trim() !== '')
for (const item of lists) {
const decodeJson = JSON.parse(item.replace(/^data: /, ''))
let content = decodeJson.choices[0].delta.content
if (backContent === null) {
backContent = content
} else {
const temp = content
content = content.replace(backContent, '')
backContent = temp
}
const StreamTemplate = {
"id": `chatcmpl-${id}`,
"object": "chat.completion.chunk",
"created": new Date().getTime(),
"choices": [
{
"index": 0,
"delta": {
"content": content
},
"finish_reason": null
}
]
}
res.write(`data: ${JSON.stringify(StreamTemplate)}\n\n`)
}
})
response.on('end', () => {
res.write(`data: [DONE]\n\n`)
res.end()
})
}
try {
const response = await axios.post('https://chat.qwenlm.ai/api/chat/completions',
req.body,
{
headers: {
"Authorization": req.headers.authorization,
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
},
responseType: stream ? 'stream' : 'json'
}
)
if (stream) {
res.set({
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
})
streamResponse(response.data)
} else {
res.set({
'Content-Type': 'application/json',
})
notStreamResponse(response.data)
}
} catch (error) {
console.log(error)
res.status(500)
.json({
error: "罢工了，不干了!!!"
})
}
})
app.listen(3000, () => {
console.log('Server is running on port 3000')
})
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