with Google Vertex AI and ServiceNow?
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
Retrieves the record identified by the specified sys_id from the specified table.
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 ServiceNow API lets developers access and manipulate records, manage workflows, and integrate with other services on its IT service management platform. These capabilities support automating tasks, syncing data across platforms, and boosting operational efficiencies.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
servicenow: {
type: "app",
app: "servicenow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.servicenow.$auth.instance_name}.service-now.com/api/now/table/incident`,
headers: {
Authorization: `Bearer ${this.servicenow.$auth.oauth_access_token}`,
},
})
},
})