Amazon Web Services (AWS) offers reliable, scalable, and inexpensive cloud computing services.
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.
Creates an SNS topic in your AWS account. Messages published to this topic are emitted from the Pipedream source.
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.
Emit new event when a DynamoDB stream receives new events. See the docs here
Generate embeddings using Google PaLM. See the docs here
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.
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',
})
*/
},
})
The Google PaLM API is a cutting-edge language model that allows developers to integrate advanced natural language understanding into their applications. On Pipedream, you can harness this power to create serverless workflows that react to various triggers and perform actions based on the insights and outputs from PaLM. Whether it's generating content, summarizing text, or understanding user intent, PaLM's capabilities can be integrated into Pipedream workflows to automate complex tasks involving language.
import { v1beta2 } from "@google-ai/generativelanguage";
import { GoogleAuth } from "google-auth-library";
export default defineComponent({
props: {
google_palm_api: {
type: "app",
app: "google_palm_api",
}
},
async run({ steps, $ }) {
const client = new v1beta2.TextServiceClient({
authClient: new GoogleAuth().fromAPIKey(this.google_palm_api.$auth.palm_api_key),
});
const text = "Repeat after me: one, two,";
const model = "models/text-bison-001";
return await client
.generateText({
model,
prompt: {
text,
},
})
},
})