with LiveKit and Azure OpenAI?
Emit new event for LiveKit room activities via webhook. See the documentation
Create a new ingress from url in LiveKit. See the documentation
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
import { RoomServiceClient } from 'livekit-server-sdk';
export default defineComponent({
props: {
livekit: {
type: "app",
app: "livekit",
}
},
async run({steps, $}) {
const svc = new RoomServiceClient(
this.livekit.$auth.project_url,
this.livekit.$auth.api_key,
this.livekit.$auth.secret_key);
return await svc.listRooms();
},
})
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,
})
},
})