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Refactor Qwen.js to OpenAI API style
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Qu Yi
parent
c62ee6ee13
commit
8277c23a2c
1 changed files with 60 additions and 90 deletions
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@ -1,109 +1,79 @@
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// This code uses Dashscope and HTTP to ensure the latest support for the Qwen model.
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// Qwen is also compatible with the OpenAI API format;
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import { getKey } from '../utils/keys.js';
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import OpenAIApi from 'openai';
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import { getKey, hasKey } from '../utils/keys.js';
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import { strictFormat } from '../utils/text.js';
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export class Qwen {
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constructor(model_name, url, params) {
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this.model_name = model_name;
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this.params = params;
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this.url = url || 'https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation';
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this.apiKey = getKey('QWEN_API_KEY');
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let config = {};
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config.baseURL = url || 'https://dashscope.aliyuncs.com/compatible-mode/v1';
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config.apiKey = getKey('QWEN_API_KEY');
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this.openai = new OpenAIApi(config);
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}
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async sendRequest(turns, systemMessage, stopSeq = '***', retryCount = 0) {
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if (retryCount > 5) {
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console.error('Maximum retry attempts reached.');
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return 'Error: Too many retry attempts.';
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}
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async sendRequest(turns, systemMessage, stop_seq='***') {
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let messages = [{'role': 'system', 'content': systemMessage}].concat(turns);
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const data = {
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model: this.modelName || 'qwen-plus',
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input: { messages: [{ role: 'system', content: systemMessage }, ...turns] },
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parameters: {
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result_format: 'message',
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stop: stopSeq,
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...(this.params || {})
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},
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messages = strictFormat(messages);
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const pack = {
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model: this.model_name || "qwen-plus",
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messages,
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stop: stop_seq,
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...(this.params || {})
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};
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// Add default user message if all messages are 'system' role
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if (turns.every((msg) => msg.role === 'system')) {
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data.input.messages.push({ role: 'user', content: 'hello' });
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}
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if (!data.model || !data.input || !data.input.messages || !data.parameters) {
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console.error('Invalid request data format:', data);
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throw new Error('Invalid request data format.');
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}
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let res = null;
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try {
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const response = await this._makeHttpRequest(this.url, data);
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const choice = response?.output?.choices?.[0];
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if (choice?.finish_reason === 'length' && turns.length > 0) {
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return this.sendRequest(turns.slice(1), systemMessage, stopSeq, retryCount + 1);
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console.log('Awaiting Qwen api response...');
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// console.log('Messages:', messages);
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let completion = await this.openai.chat.completions.create(pack);
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if (completion.choices[0].finish_reason == 'length')
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throw new Error('Context length exceeded');
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console.log('Received.');
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res = completion.choices[0].message.content;
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}
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catch (err) {
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if ((err.message == 'Context length exceeded' || err.code == 'context_length_exceeded') && turns.length > 1) {
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console.log('Context length exceeded, trying again with shorter context.');
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return await this.sendRequest(turns.slice(1), systemMessage, stop_seq);
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} else {
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console.log(err);
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res = 'My brain disconnected, try again.';
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}
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return choice?.message?.content || 'No content received.';
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} catch (err) {
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console.error('Error occurred:', err);
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return 'An error occurred, please try again.';
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}
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return res;
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}
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// Why random backoff?
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// With a 30 requests/second limit on Alibaba Qwen's embedding service,
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// random backoff helps maximize bandwidth utilization.
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async embed(text) {
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if (!text || typeof text !== 'string') {
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console.error('Invalid embedding input: text must be a non-empty string.');
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return 'Invalid embedding input: text must be a non-empty string.';
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}
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const data = {
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model: 'text-embedding-v2',
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input: { texts: [text] },
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parameters: { text_type: 'query' },
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};
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if (!data.model || !data.input || !data.input.texts || !data.parameters) {
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console.error('Invalid embedding request data format:', data);
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throw new Error('Invalid embedding request data format.');
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}
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try {
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const response = await this._makeHttpRequest(this.url, data);
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const embedding = response?.output?.embeddings?.[0]?.embedding;
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return embedding || 'No embedding result received.';
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} catch (err) {
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console.error('Error occurred:', err);
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return 'An error occurred, please try again.';
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const maxRetries = 5; // Maximum number of retries
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for (let retries = 0; retries < maxRetries; retries++) {
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try {
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const { data } = await this.openai.embeddings.create({
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model: this.model_name || "text-embedding-v3",
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input: text,
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encoding_format: "float",
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});
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return data[0].embedding;
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} catch (err) {
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if (err.status === 429) {
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// If a rate limit error occurs, calculate the exponential backoff with a random delay (1-5 seconds)
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const delay = Math.pow(2, retries) * 1000 + Math.floor(Math.random() * 2000);
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// console.log(`Rate limit hit, retrying in ${delay} ms...`);
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await new Promise(resolve => setTimeout(resolve, delay)); // Wait for the delay before retrying
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} else {
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throw err;
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}
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}
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}
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// If maximum retries are reached and the request still fails, throw an error
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throw new Error('Max retries reached, request failed.');
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}
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async _makeHttpRequest(url, data) {
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const headers = {
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'Authorization': `Bearer ${this.apiKey}`,
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'Content-Type': 'application/json',
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};
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const response = await fetch(url, {
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method: 'POST',
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headers,
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body: JSON.stringify(data),
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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(`Request failed, status code ${response.status}: ${response.statusText}`);
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console.error('Error response content:', errorText);
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throw new Error(`Request failed, status code ${response.status}: ${response.statusText}`);
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}
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const responseText = await response.text();
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try {
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return JSON.parse(responseText);
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} catch (err) {
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console.error('Failed to parse response JSON:', err);
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throw new Error('Invalid response JSON format.');
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}
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}
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}
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}
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