【Node.js】AzureOpenAIのChatGPTを使用してTeamsのチャットボットを開発してみる - コード書いてく編

PS> yo botbuilder

Welcome to the Microsoft Bot Builder generator v4.17.0.

Detailed documentation can be found at https://aka.ms/botbuilder-generator

? What's the name of your bot? my-chat-bot
? What will your bot do? Demonstrate the core capabilities of the Microsoft Bot Framework
? What programming language do you want to use? JavaScript
? Which template would you like to start with? Echo Bot - https://aka.ms/bot-template-echo
? Looking good.  Shall I go ahead and create your new bot? (Y/n) 

PS> yo botbuilder
yo : このシステムではスクリプトの実行が無効になっているため、ファイル C:\U
sers\<User>\AppData\Roaming\npm\yo.ps1 を読み込むことができません。詳細につ
いては、「about_Execution_Policies」(https://go.microsoft.com/fwlink/?Link
ID=135170) を参照してください。
発生場所 行:1 文字:1

PS> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process

PS> npm install azure-openai

// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

const path = require('path');
const dotenv = require('dotenv');

// Import required bot configuration.
const ENV_FILE = path.join(__dirname, '.env');

dotenv.config({ path: ENV_FILE });

const { ActivityHandler, MessageFactory } = require('botbuilder');
const { Configuration, OpenAIApi } = require("azure-openai");

const configuration = new Configuration({
    apiKey: this.apiKey,
    // add azure info into configuration
    azure: {
       apiKey: process.env.AZURE_OPENAI_API_KEY,
       endpoint: process.env.AZURE_OPENAI_ENDPOINT,
       // deploymentName is optional, if you donot set it, you need to set it in the request parameter
       deploymentName: process.env.AZURE_OPENAI_DEPLOYMENT_NAME,
    }
});

const modelName = process.env.AZURE_OPENAI_MODEL_NAME || "gpt-35-turbo (version 0301)"
const setupMessage = {"role":"system","content":"You are an AI assistant that helps people find information."}

const openai = new OpenAIApi(configuration);

class OpenAiBot extends ActivityHandler {

    constructor() {
        super();

        // See https://aka.ms/about-bot-activity-message to learn more about the message and other activity types.
        this.onMessage(async (context, next) => {
            let replyText = ""
            try {
                const response = await this.createChatResponseFromOpenAi(context.activity.text);
                console.log(response.data.choices[0]);
                replyText = `${ response.data.choices[0].message["content"] }`;
                console.log(`Prompt Tokens: ${response.data.usage["prompt_tokens"]} | Completion Tokens: ${response.data.usage["completion_tokens"]} | Total Tokens: ${response.data.usage["total_tokens"]}`);
                console.log(`Create Reponse Text: ${response.data.choices[0].message["content"].replace(/(\r\n|\n|\r)/gm, "")}`);

            } catch (error) {
                if (error.response) {
                    console.log(error.response.status);
                    console.log(error.response.data);
                    replyText = `エラーが発生しました。もう1回試してみてね。詳細：${error.response.data}`;
                } else {
                    console.log(error.message);
                    replyText = `エラーが発生しました。もう1回試してみてね。詳細：${error.message}`;
                }
              } finally {
                  await context.sendActivity(MessageFactory.text(replyText, replyText));
                  // By calling next() you ensure that the next BotHandler is run.
                  await next();
              }
        });

        this.onMembersAdded(async (context, next) => {
            const membersAdded = context.activity.membersAdded;

            const welcomeText = `こんにちは。my-chat-bot - ${modelName}です。`;

            for (let cnt = 0; cnt < membersAdded.length; ++cnt) {
                if (membersAdded[cnt].id !== context.activity.recipient.id) {
                    await context.sendActivity(MessageFactory.text(welcomeText, welcomeText));
                }
            }

            // By calling next() you ensure that the next BotHandler is run.
            await next();
        });
    }

    async createChatResponseFromOpenAi(text) {
        return await openai.createChatCompletion({
            model: modelName,
            messages: [setupMessage].concat({role: "user", content: text}),
            temperature: 1,
            top_p: 0.9,
            presence_penalty: 0,
            frequency_penalty: 1,
            max_tokens: 512,
        });
    }
}

module.exports.OpenAiBot = OpenAiBot;

const setupMessage = {"role":"system","content":"You are an AI assistant that helps people find information."}

MicrosoftAppType=
MicrosoftAppId=
MicrosoftAppPassword=
MicrosoftAppTenantId=

AZURE_OPENAI_API_KEY=<Your Azure OpenAI Key>
AZURE_OPENAI_ENDPOINT=<Your Azure OpenAI Endpoint>
AZURE_OPENAI_DEPLOYMENT_NAME=<Your Azure OpenAI Deployment Name>
AZURE_OPENAI_MODEL_NAME=gpt-35-turbo (version 0301)

PS> npm start

> my-chat-bot@1.0.0 start
> node ./index.js

(node:16420) [DEP0111] DeprecationWarning: Access to process.binding('http_parser') is deprecated.
(Use `node --trace-deprecation ...` to show where the warning was created)

restify listening to http://[::]:3978

Get Bot Framework Emulator: https://aka.ms/botframework-emulator

To talk to your bot, open the emulator select "Open Bot"