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with Telegram and Google Dialogflow?

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Create Context with Google Dialogflow API on Channel Updates (Instant) from Telegram Bot API
Telegram + Google Dialogflow
 
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Create Context with Google Dialogflow API on Message Updates (Instant) from Telegram Bot API
Telegram + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Bot Command Received (Instant) from Telegram Bot API
Telegram + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Updates (Instant) from Telegram Bot API
Telegram + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Channel Updates (Instant) from Telegram Bot API
Telegram + Google Dialogflow
 
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New Bot Command Received (Instant) from the Telegram API

Emit new event each time a Telegram Bot command is received.

 
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New Channel Updates (Instant) from the Telegram API

Emit new event each time a channel post is created or updated.

 
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New Message Updates (Instant) from the Telegram API

Emit new event each time a Telegram message is created or updated.

 
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New Updates (Instant) from the Telegram API

Emit new event for each new Telegram event.

 
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Create Chat Invite Link with the Telegram API

Create an additional invite link for a chat, See the docs for more information

 
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Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Delete a Message with the Telegram API

Deletes a message. See the docs for more information

 
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Create Entities with the Google Dialogflow API

Batch create entities, See REST docs and client API docs

 
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Edit a Media Message with the Telegram API

Edits photo or video messages. See the docs for more information

 
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Integrate the Telegram API with the Google Dialogflow API
Setup the Telegram API trigger to run a workflow which integrates with the Google Dialogflow API. Pipedream's integration platform allows you to integrate Telegram and Google Dialogflow remarkably fast. Free for developers.

Overview of Telegram

The Telegram Bot API allows you to build bots that can interact with users on the Telegram platform. Using Pipedream, you can automate messaging, handle commands, and trigger actions based on conversations or alerts. Pipedream's serverless execution model enables you to create complex workflows involving Telegram messages without managing any infrastructure. With Pipedream's integration, you can process inbound messages, send outbound notifications, and connect the Telegram Bot API with numerous other services to create powerful automation solutions.

Connect Telegram

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    telegram_bot_api: {
      type: "app",
      app: "telegram_bot_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.telegram.org/bot${this.telegram_bot_api.$auth.token}/getMe`,
    })
  },
})

Overview of Google Dialogflow

Google Dialogflow API empowers you to create conversational interfaces for websites, apps, and messaging platforms. Think chatbots that can engage in human-like dialogue, provide customer support, guide through sales processes, or control smart home devices with voice commands. With Pipedream's integration capabilities, you can create automated workflows that trigger actions in other apps based on Dialogflow's processed input, enabling seamless interaction across a plethora of services.

Connect Google Dialogflow

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module.exports = defineComponent({
  props: {
    google_dialogflow: {
      type: "app",
      app: "google_dialogflow",
    }
  },
  async run({steps, $}) {
    // Example code from the Dialogflow Node.js library:
    // https://github.com/googleapis/nodejs-dialogflow
    const dialogflow = require('dialogflow')
    const uuid = require('uuid')
    
    // A unique identifier for the given session
    const sessionId = uuid.v4()
    
    const key = JSON.parse(this.google_dialogflow.$auth.key_json)
     
    // Creates a session client from a Google service account key.
    const sessionClient = new dialogflow.SessionsClient({
      projectId: key.project_id,
      credentials: {
        client_email: key.client_email,
        private_key: key.private_key,
      }
    })
    const sessionPath = sessionClient.sessionPath(key.project_id, sessionId)
    
    // The text query request.
    const request = {
      session: sessionPath,
      queryInput: {
        text: {
          // The query to send to the dialogflow agent
          text: 'hello',
          // The language used by the client (en-US)
          languageCode: 'en-US',
        },
      },
    }
    
    // Send request and log result
    const responses = await sessionClient.detectIntent(request)
    console.log('Detected intent')
    const result = responses[0].queryResult
    console.log(`Query: ${result.queryText}`)
    console.log(`Response: ${result.fulfillmentText}`)
    if (result.intent) {
      console.log(`Intent: ${result.intent.displayName}`)
    } else {
      console.log(`No intent matched.`)
    }
  },
})

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo