Vapi is the platform to build, test and deploy voicebots in minutes rather than months.
Create a new document in a collection of your choice. See the docs here
Execute an aggregation pipeline on a MongoDB collection. See the documentation
The Vapi API delivers voice automation capabilities, letting you build powerful voice response systems. With Vapi, you can automate calls, send voice messages, and create dynamic interactions through speech recognition and text-to-speech. Pipedream's serverless platform allows you to integrate Vapi's API with numerous other services to automate workflows, react to events, and orchestrate complex voice-enabled processes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vapi: {
type: "app",
app: "vapi",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://west-api.vapi.ai/assistant`,
headers: {
Authorization: `Bearer ${this.vapi.$auth.api_key}`,
},
})
},
})
The MongoDB API provides powerful capabilities to interact with a MongoDB database, allowing you to perform CRUD (Create, Read, Update, Delete) operations, manage databases, and execute sophisticated queries. With Pipedream, you can harness these abilities to automate tasks, sync data across various apps, and react to events in real-time. It’s a combo that’s particularly potent for managing data workflows, syncing application states, or triggering actions based on changes to your data.
import mongodb from 'mongodb'
export default defineComponent({
props: {
mongodb: {
type: "app",
app: "mongodb",
},
collection: {
type: "string"
},
filter: {
type: "object"
}
},
async run({steps, $}) {
const MongoClient = mongodb.MongoClient
const {
database,
hostname,
username,
password,
} = this.mongodb.$auth
const url = `mongodb+srv://${username}:${password}@${hostname}/test?retryWrites=true&w=majority`
const client = await MongoClient.connect(url, {
useNewUrlParser: true,
useUnifiedTopology: true
})
const db = client.db(database)
const results = await db.collection(this.collection).find(this.filter).toArray();
$.export('results', results);
await client.close()
},
})