What do you want to automate
with Bluesky and Google Vertex AI?
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Popular Ways to Connect Bluesky with Google Vertex AI#
Popular Bluesky and Google Vertex AI Triggers#
Emit new event when someone follows the specified account. Requires the account ID as a prop to monitor followers for that account. See the documentation
Emit new event when an author creates a post. Requires the author id as a prop to track posts from a specific author. See the documentation
Emit new event when posts appear in the following feed. See the documentation
Popular Bluesky and Google Vertex AI Actions#
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
Connect Bluesky#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bluesky: {
type: "app",
app: "bluesky",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bsky.social/xrpc/app.bsky.actor.getProfile?actor=${this.bluesky.$auth.did}`,
headers: {
Authorization: `Bearer ${this.bluesky.$auth.oauth_access_token}`,
},
})
},
})
Overview of Google Vertex AI#
With the Google Vertex AI API, you can tap into a robust suite of AI tools offered by Google Cloud to build, deploy, and scale machine learning models. Whether you're processing data, training custom models, or using pre-trained ones, Vertex AI provides a unified platform for AI development. In Pipedream, you can create serverless workflows that interact with Vertex AI, allowing you to automate tasks like model training, prediction, and resource management without provisioning your own infrastructure.
Connect Google Vertex AI#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_vertex_ai: {
type: "app",
app: "google_vertex_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_vertex_ai.$auth.oauth_access_token}`,
},
})
},
})
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