with Pingdom and Google PaLM?
Emit new event when a new check is added in Pingdom. See the documentation
Generate embeddings using Google PaLM. See the docs here
The Pingdom API offers a suite of endpoints to monitor the uptime, performance, and interactions for websites and web applications. With this API, you can automate the retrieval of monitor statuses, alerts, and performance data. Integrating Pingdom with Pipedream allows developers to create custom workflows that can notify teams of incidents, track performance metrics, or even trigger actions based on website status changes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
pingdom: {
type: "app",
app: "pingdom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.pingdom.com/api/3.1/checks`,
headers: {
"Authorization": `Bearer ${this.pingdom.$auth.api_token}`,
},
})
},
})
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,
},
})
},
})