Integrate the AWS API with the Perplexity API

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

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Popular Ways to Connect AWS with Perplexity#

Chat Completions with Perplexity API on New Scheduled Tasks from AWS API

AWS + Perplexity

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Chat Completions with Perplexity API on New SNS Messages from AWS API

AWS + Perplexity

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Chat Completions with Perplexity API on New Inbound SES Emails from AWS API

AWS + Perplexity

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Chat Completions with Perplexity API on New Deleted S3 File from AWS API

AWS + Perplexity

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Chat Completions with Perplexity API on New DynamoDB Stream Event from AWS API

AWS + Perplexity

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Popular AWS and Perplexity Triggers#

New Scheduled Tasks from the AWS API

Creates a Step Function State Machine to publish a message to an SNS topic at a specific timestamp. The SNS topic delivers the message to this Pipedream source, and the source emits it as a new event.

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New SNS Messages from the AWS API

Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.

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New Inbound SES Emails from the AWS API

The source subscribes to all emails delivered to a specific domain configured in AWS SES. When an email is sent to any address at the domain, this event source emits that email as a formatted event. These events can trigger a Pipedream workflow and can be consumed via SSE or REST API.

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New Deleted S3 File from the AWS API

Emit new event when a file is deleted from a S3 bucket

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New DynamoDB Stream Event from the AWS API

Emit new event when a DynamoDB stream receives new events. See the docs here

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Popular AWS and Perplexity Actions#

Chat Completions with the Perplexity API

Generates a model's response for the given chat conversation. See the documentation

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CloudWatch Logs - Put Log Event with the AWS API

Uploads a log event to the specified log stream. See docs

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DynamoDB - Create Table with the AWS API

Creates a new table to your account. See docs

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DynamoDB - Execute Statement with the AWS API

This operation allows you to perform transactional reads or writes on data stored in DynamoDB, using PartiQL. See docs

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DynamoDB - Get Item with the AWS API

The Get Item operation returns a set of attributes for the item with the given primary key. If there is no matching item, Get Item does not return any data and there will be no Item element in the response. See docs

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Overview of AWS#

The AWS API unlocks endless possibilities for automation with Pipedream. With this powerful combo, you can manage your AWS services and resources, automate deployment workflows, process data, and react to events across your AWS infrastructure. Pipedream offers a serverless platform for creating workflows triggered by various events that can execute AWS SDK functions, making it an efficient tool to integrate, automate, and orchestrate tasks across AWS services and other apps.

Connect AWS#

import AWS from 'aws-sdk'

export default defineComponent({
  props: {
    aws: {
      type: "app",
      app: "aws",
    }
  },
  async run({steps, $}) {
    const { accessKeyId, secretAccessKey } = this.aws.$auth
    
    /* Now, pass the accessKeyId and secretAccessKey to the constructor for your desired service. For example:
    
    const dynamodb = new AWS.DynamoDB({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    */
  },
})

Overview of Perplexity#

The Perplexity API offers advanced natural language processing capabilities, enabling users to generate answers, summaries, and insights from texts. Leveraging this API on Pipedream allows for the automation of content analysis, intelligent alert systems, and dynamic data enrichment, integrating seamlessly with various data sources and services for real-time processing.

Connect Perplexity#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    perplexity: {
      type: "app",
      app: "perplexity",
    }
  },
  async run({steps, $}) {
    const data = {
      "model": "mistral-7b-instruct",
      "messages": [
        {
          "role": "system",
          "content": "Be precise and concise."
        },
        {
          "role": "user",
          "content": "Can you tell me about the integration platform called Pipedream?"
        }
      ]
    }
    return await axios($, {
      method: "post",
      url: `https://api.perplexity.ai/chat/completions`,
      headers: {
        Authorization: `Bearer ${this.perplexity.$auth.api_key}`,
        "accept": `application/json`,
      },
      data,
    })
  },
})

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