with OnceHub and Azure OpenAI?
Emit new event when a booking is canceled. See the docs
Emit new event when a customer cancels a booking and then reschedules on a different booking page. See the docs
Emit new event when the status of a booking is changed. See the docs
Emit new event when a user sets the completed booking to No-show. See the docs
Emit new event when a booking is rescheduled. See the docs
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Classify items into specific categories. See the documentation
Creates an image given a prompt, and returns a URL to the image. See the documentation
Summarizes a text message with the GPT-35-Turbo and GPT-4 models. See the documentation
Translate text from one language to another. See the documentation
The OnceHub API is a powerful tool for automating the scheduling of meetings and appointments. With this API, you can dynamically manage bookings, sync calendars, personalize notifications, and streamline the entire process of setting up and following up on appointments. When used on Pipedream, you can harness the serverless power of the platform to trigger workflows based on events in OnceHub, or to act upon data from other services, making the maintenance of your calendar and scheduling needs a breeze.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
oncehub: {
type: "app",
app: "oncehub",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.oncehub.com/v2/test`,
headers: {
"Accept": `application/json`,
"API-Key": `${this.oncehub.$auth.api_key}`,
},
})
},
})
The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
azure_openai_service: {
type: "app",
app: "azure_openai_service",
}
},
async run({steps, $}) {
const data = {
"messages": [{ role: 'user', content: "Hello, world!" }],
}
return await axios($, {
method: "post",
url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
headers: {
"Content-Type": `application/json`,
"api-key": `${this.azure_openai_service.$auth.api_key}`,
},
data,
})
},
})