Azure OpenAI Service

Apply large language models and generative AI to a variety of use cases

Integrate the Azure OpenAI Service API with the AWS API

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

Chat with Azure OpenAI Service API on New Scheduled Tasks from AWS API
AWS + Azure OpenAI Service
 
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Chat with Azure OpenAI Service API on New SNS Messages from AWS API
AWS + Azure OpenAI Service
 
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Classify Items Into Categories with Azure OpenAI Service API on New Scheduled Tasks from AWS API
AWS + Azure OpenAI Service
 
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Classify Items Into Categories with Azure OpenAI Service API on New SNS Messages from AWS API
AWS + Azure OpenAI Service
 
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Create Image with Azure OpenAI Service API on New Scheduled Tasks from AWS API
AWS + Azure OpenAI Service
 
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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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Chat with the Azure OpenAI Service API

Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation

 
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Classify Items Into Categories with the Azure OpenAI Service API

Classify items into specific categories. See the documentation

 
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Create Image with the Azure OpenAI Service API

Creates an image given a prompt, and returns a URL to the image. See the documentation

 
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Summarize with the Azure OpenAI Service API

Summarizes a text message with the GPT-35-Turbo and GPT-4 models. 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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Overview of Azure OpenAI Service

The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.

Connect Azure OpenAI Service

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_openai_service: {
      type: "app",
      app: "azure_openai_service",
    }
  },
  async run({steps, $}) {
    const data = {
      "messages": [{ role: 'user', content: "Hello, world!" }],
    }
    return await axios($, {
      method: "post",
      url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
      headers: {
        "Content-Type": `application/json`,
        "api-key": `${this.azure_openai_service.$auth.api_key}`,
      },
      data,
    })
  },
})

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

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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',
    })
    
    */
  },
})