Integrate the Llama AI API with the Amazon SES API

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

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Popular Llama AI and Amazon SES Actions#

Create Chat with the Llama AI API

Creates a new chat. See the documentation

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Create Email Template with the Amazon SES API

Create a HTML or a plain text email template. See the docs

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Get Email Template with the Amazon SES API

Get an email template. See the docs

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Send Email with the Amazon SES API

Send an email using Amazon SES. Supports simple email messaging. See the docs

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Send Templated Email with the Amazon SES API

Send an email replacing the template tags with values using Amazon SES. See the docs

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Overview of Llama AI#

The Llama AI API provides powerful machine learning capabilities, enabling users to harness advanced AI for image recognition, natural language processing, and predictive modeling. By leveraging this API on Pipedream, you can automate complex workflows that require AI-driven insights, enhancing data analysis and decision-making processes across various business applications.

Connect Llama AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    llama_ai: {
      type: "app",
      app: "llama_ai",
    }
  },
  async run({steps, $}) {
    const data = {
        "messages": [
            {"role": "user", "content": "What is the weather like in Boston?"},
        ],
        "functions": [
            {
                "name": "get_current_weather",
                "description": "Get the current weather in a given location",
                "parameters": {
                    "type": "object",
                    "properties": {
                        "location": {
                            "type": "string",
                            "description": "The city and state, e.g. San Francisco, CA",
                        },
                        "days": {
                            "type": "number",
                            "description": "for how many days ahead you wants the forecast",
                        },
                        "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]},
                    },
                },
                "required": ["location", "days"],
            }
        ],
        "stream": "false",
        "function_call": "get_current_weather",
    }
    return await axios($, {
      method: "post",
      url: `https://api.llama-api.com/chat/completions`,
      headers: {
        Authorization: `Bearer ${this.llama_ai.$auth.api_token}`,
      },
      data,
    })
  },
})

Overview of Amazon SES#

Amazon Simple Email Service (SES) is a powerful cloud-based email sending service designed to help digital marketers and application developers send marketing, notification, and transactional emails. With the SES API, you can reliably send emails at scale, manage sender reputations, view email sending statistics, and maintain a high deliverability rate. Leveraging Pipedream's capabilities, you can integrate SES seamlessly into serverless workflows, automate email responses based on triggers from other apps, and analyze the effectiveness of your email campaigns by connecting to data analytics platforms.

Connect Amazon SES#

module.exports = defineComponent({
  props: {
    amazon_ses: {
      type: "app",
      app: "amazon_ses",
    }
  },
  async run({steps, $}) {
    const AWS = require("aws-sdk")
    const { accessKeyId, secretAccessKey } = this.amazon_ses.$auth
    
    const ses = new AWS.SES({
      accessKeyId, 
      secretAccessKey,
      region: 'us-east-1',
    })
    
    const sesParams = {
      Destination: {
        ToAddresses: ["<your email here>"],
      }, 
      Message: {
        Body: {
          Html: {
            Charset: "UTF-8", 
            Data: "<h1>This is a test</h1>",
          }, 
            Text: {
            Charset: "UTF-8", 
            Data: "This is a test",
          }
        }, 
        Subject: {
          Charset: "UTF-8", 
          Data: "Test email",
        }
      },
      Source: "<your from address here", 
    };
    
    this.resp = await ses.sendEmail(sesParams).promise()
  },
})

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