在BotBuilder中使用API.ai(现为Dialogflow)意图涉及将自然语言理解(NLU)服务集成到聊天机器人开发流程中。以下是完整的解析:
npm install botbuilder dialogflow-fulfillment
WelcomeIntent
、OrderPizzaIntent
)并训练模型。const { Dialogflow } = require('botbuilder-dialogs');
const { ServiceClientCredentials } = require('dialogflow');
// 初始化Dialogflow连接
const creds = new ServiceClientCredentials({
private_key: "YOUR_PRIVATE_KEY",
client_email: "YOUR_SERVICE_ACCOUNT_EMAIL"
});
const dialogflow = new Dialogflow({
credentials: creds,
sessionId: (context) => context.activity.conversation.id
});
// 注册意图处理器
bot.dialog('MainDialog', [
async (session) => {
const result = await dialogflow.recognize(session.context);
switch (result.intent) {
case 'WelcomeIntent':
session.send("Hello! How can I help?");
break;
case 'OrderPizzaIntent':
const topping = result.entities.Topping;
session.send(`Ordering a pizza with ${topping}!`);
break;
default:
session.send("I didn't understand that.");
}
}
]);
sessionId
导致对话状态断裂。sessionId
(如用户ID或会话ID)。ngrok
暴露本地端口供Dialogflow回调。通过以上步骤,可高效结合BotBuilder的对话流控制与Dialogflow的语义理解能力。
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