ChatBot is an all-in-one platform to create, deploy, and track chatbots across channels.
Emit new event for event received. Need to be configured in the ChatBot UI flow to emit events. See docs here
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Leverage the ChatBot API on Pipedream to automate conversations, streamline customer service, and connect chat functionality with various apps for rich, responsive interaction. With this API, you can programmatically send messages, manage chat histories, and implement chatbots that react to user input in real-time. By integrating with Pipedream, these capabilities can be augmented with thousands of apps, enabling seamless data flow and complex automations.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
chatbot: {
type: "app",
app: "chatbot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.chatbot.com/stories`,
headers: {
Authorization: `Bearer ${this.chatbot.$auth.developer_access_token}`,
},
})
},
})
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});