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* perf: user select ux and api * perf: http variables replace code * perf: http variables replace code * perf: chat box question guide adapt interactive * remove comment
68 lines
1.7 KiB
TypeScript
68 lines
1.7 KiB
TypeScript
import type { ChatCompletionMessageParam } from '@fastgpt/global/core/ai/type.d';
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import { getAIApi } from '../config';
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import { countGptMessagesTokens } from '../../../common/string/tiktoken/index';
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import { loadRequestMessages } from '../../chat/utils';
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export const Prompt_QuestionGuide = `你是一个AI智能助手,可以回答和解决我的问题。请结合前面的对话记录,帮我生成 3 个问题,引导我继续提问,生成问题的语言要与原问题相同。问题的长度应小于20个字符,按 JSON 格式返回: ["问题1", "问题2", "问题3"]`;
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export async function createQuestionGuide({
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messages,
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model
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}: {
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messages: ChatCompletionMessageParam[];
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model: string;
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}) {
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const concatMessages: ChatCompletionMessageParam[] = [
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...messages,
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{
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role: 'user',
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content: Prompt_QuestionGuide
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}
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];
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const ai = getAIApi({
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timeout: 480000
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});
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const data = await ai.chat.completions.create({
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model: model,
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temperature: 0.1,
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max_tokens: 200,
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messages: await loadRequestMessages({
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messages: concatMessages,
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useVision: false
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}),
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stream: false
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});
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const answer = data.choices?.[0]?.message?.content || '';
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const start = answer.indexOf('[');
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const end = answer.lastIndexOf(']');
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const tokens = await countGptMessagesTokens(concatMessages);
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if (start === -1 || end === -1) {
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return {
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result: [],
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tokens: 0
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};
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}
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const jsonStr = answer
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.substring(start, end + 1)
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.replace(/(\\n|\\)/g, '')
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.replace(/ /g, '');
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try {
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return {
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result: JSON.parse(jsonStr),
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tokens
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};
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} catch (error) {
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return {
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result: [],
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tokens: 0
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};
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}
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}
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