with Vercel and Azure OpenAI?
Emit new event when a deployment is canceled See the documentation
Emit new event when a deployment encounters an error See the documentation
Emit new event when a deployment successfully completes See the documentation
Emit new event when a deployment is created See the documentation
Cancel a deployment which is currently building. See the documentation
Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. See the documentation
Create a new deployment from a GitHub repository. 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
The Vercel API empowers developers to automate, manage, and interact with their Vercel projects and deployments directly through code. With the Vercel API on Pipedream, you can harness the power of serverless functions to create dynamic and responsive workflows. Automate deployment processes, sync deployment statuses with other tools, trigger notifications based on deployment events, or manage your domains and aliases—all within the seamless integration landscape of Pipedream.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vercel_token_auth: {
type: "app",
app: "vercel_token_auth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.vercel.com/www/user`,
headers: {
Authorization: `Bearer ${this.vercel_token_auth.$auth.personal_access_token}`,
},
})
},
})
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,
})
},
})