Vertex AI offers everything you need to build and use generative AI—from AI solutions, to Search and Conversation, to 130+ foundation models, to a unified AI platform.
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Convert an object to a JSON format string
Analyzes a specified text for its underlying sentiment. See the documentation
Groups a provided text into predefined categories. See the documentation
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.
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}`,
},
})
},
})
The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.
export default defineComponent({
props: {
pipedream_utils: {
type: "app",
app: "pipedream_utils",
}
},
async run({steps, $}) {
},
})