在Node.js中将Bot框架v4机器人连接到Power Virtual Agent机器人,可以通过以下步骤完成:
npm install --save botbuilder-ai
const { BotFrameworkAdapter, BotFrameworkAdapterSettings } = require('botbuilder');
const { BotFrameworkHttpClient } = require('botframework-connector');
const { MicrosoftAppCredentials } = require('botframework-connector');
const { PVAAssist } = require('botbuilder-ai');
const adapterSettings = new BotFrameworkAdapterSettings({
appId: process.env.MicrosoftAppId,
appPassword: process.env.MicrosoftAppPassword
});
const adapter = new BotFrameworkAdapter(adapterSettings);
const pvaConfig = {
knowledgeBaseId: '<knowledge-base-id>',
endpointKey: '<endpoint-key>',
host: 'https://<power-virtual-agent-hostname>.azurewebsites.net'
};
const httpClient = new BotFrameworkHttpClient(MicrosoftAppCredentials.empty);
const pvaAssist = new PVAAssist(pvaConfig, httpClient);
注意:你需要替换<knowledge-base-id>
,<endpoint-key>
和<power-virtual-agent-hostname>
为实际的Power Virtual Agent机器人配置值。
adapter.use(pvaAssist);
adapter.onTurnError = async (context, error) => {
console.error(`\n [onTurnError]: ${error}`);
await context.sendActivity('An error occurred. Please try again later.');
};
adapter.processActivity(req, res, async (context) => {
if (context.activity.type === 'message') {
const results = await pvaAssist.recognize(context);
const topIntent = results.intents[0].intent;
// 根据意图执行适当的操作
if (topIntent === 'GreetingIntent') {
await context.sendActivity('Hello!');
} else if (topIntent === 'HelpIntent') {
await context.sendActivity('How can I assist you?');
} else {
await context.sendActivity("I'm sorry, I don't understand.");
}
}
});
上述代码中,我们使用pvaAssist.recognize()
方法来调用Power Virtual Agent机器人进行消息的识别和处理。根据识别结果中的意图,我们可以执行不同的操作。
这样,你就成功将Bot框架v4机器人连接到Power Virtual Agent机器人了。
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