with Aircall 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 Aircall API allows you to harness telephony features within your applications, enabling you to manage calls, contacts, users, and more programmatically. With Pipedream's capability to leverage this API, you can automate call logging, synchronize contact information across platforms, dynamically route calls based on business logic, and generate analytics and reports.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
aircall: {
type: "app",
app: "aircall",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.aircall.io/v1/integrations/me`,
headers: {
Authorization: `Bearer ${this.aircall.$auth.oauth_access_token}`,
},
})
},
})
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;
},
})