with Resend and fal.ai?
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation
Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. See the documentation
Gets the response of a completed request in the queue. This retrieves the results of your asynchronous task. See the documentation
The Resend API opens a direct line to powerful communication automation, letting you send, receive, and track messages across various channels like SMS and email. In Pipedream, Resend's capabilities can be harnessed within serverless workflows, allowing for dynamic interactions based on triggers from a multitude of integrated services. From confirmation messages to multi-step notification sequences, you can craft tailored communication flows that react in real-time to your application or service's needs.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
resend: {
type: "app",
app: "resend",
}
},
async run({steps, $}) {
const data = {
"from": `onboarding@resend.dev`,
"to": `user@example.com`,
"subject": `pipedream testing`,
"text": `it works!`,
}
return await axios($, {
method: "post",
url: `https://api.resend.com/email`,
headers: {
Authorization: `Bearer ${this.resend.$auth.api_key}`,
"Content-Type": `application/json`,
},
data,
})
},
})
import { fal } from "@fal-ai/client"
export default defineComponent({
props: {
fal_ai: {
type: "app",
app: "fal_ai",
}
},
async run({ steps, $ }) {
fal.config({
credentials: `${this.fal_ai.$auth.api_key}`,
});
const result = await fal.subscribe("fal-ai/lora", {
input: {
model_name: "stabilityai/stable-diffusion-xl-base-1.0",
prompt:
"Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
},
logs: true,
});
return result;
},
})