with Checkvist and Google Vertex AI?
Creates a new list item within a specified list. See the documentation
Examines an image or video following given instructions. Results will contain the analysis findings. See the documentation
Enables creation of several list items at once from a block of text. Indentations in the text indicate nested list items. See the documentation
Analyzes a specified text for its underlying sentiment. See the documentation
The Checkvist API allows for the creation and management of tasks and lists in a way that streamlines productivity and enhances organizational workflows. With the API, you can automate task updates, synchronize lists with other platforms, and trigger actions based on task completion. Utilizing Pipedream, these capabilities can be expanded by orchestrating complex workflows that connect Checkvist with a multitude of other apps and services, enabling seamless data flow and event-driven automation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
checkvist: {
type: "app",
app: "checkvist",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://checkvist.com/auth/curr_user.json`,
auth: {
username: `${this.checkvist.$auth.username}`,
password: `${this.checkvist.$auth.api_key}`,
},
})
},
})
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}`,
},
})
},
})