Using the Livepeer Studio Gateway

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Start here in 5 minutes

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What Studio Gives You

• Livestreaming - Create streams, ingest via RTMP or WebRTC WHIP, play back via low-latency WebRTC or HLS, record sessions, and multistream to other platforms
• Video on demand - Upload video assets (TUS resumable or URL), transcode, play back with the Livepeer Player or any HLS/MP4 player
• AI inference - Access the Livepeer AI network via Studio’s /api/beta/generate endpoints (text-to-image, image-to-image, image-to-video, and more). As of 02-March-2026, this remains the managed Studio AI base path.
• Access control - Gate playback with webhooks or JWTs for subscriptions and token-gating
• Analytics - Viewership and engagement metrics via the viewership API
• Webhooks - Event-driven notifications for stream and asset lifecycle events

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Getting Started

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1. Create an account and API key

1. Go to livepeer.studio and create an account
2. Open Developers → API Keys and create a new key
3. Store your API key in environment variables - never expose it in client-side code

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2. Install the SDK

npm install livepeer @livepeer/react

import Livepeer from "livepeer";

const livepeer = new Livepeer({
  apiKey: process.env.LIVEPEER_STUDIO_API_KEY,
});

pip install livepeer

from livepeer import Livepeer

livepeer = Livepeer(api_key=os.environ["LIVEPEER_STUDIO_API_KEY"])

go get github.com/livepeer/livepeer-go

client := livepeer.New(livepeer.WithAPIKey(os.Getenv("LIVEPEER_STUDIO_API_KEY")))

curl -X GET "https://livepeer.studio/api/stream" \
  -H "Authorization: Bearer <LIVEPEER_STUDIO_API_KEY>"

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Common Tasks

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Create a livestream

const { data } = await livepeer.stream.create({ name: "my-stream" });
console.log("Stream key:", data.streamKey);       // Give to broadcaster
console.log("Playback ID:", data.playbackId);     // Use in your app

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Upload a video asset

// Upload via URL
const { asset } = await livepeer.asset.createViaUrl({
  name: "my-video",
  url: "https://example.com/video.mp4",
});
console.log("Playback ID:", asset.playbackId);

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Run an AI inference job

// Text-to-image (example using the AI SDK)
import { Livepeer } from "@livepeer/ai";

const livepeer = new Livepeer({
  httpBearer: process.env.LIVEPEER_STUDIO_API_KEY,
});

const result = await livepeer.generate.textToImage({
  prompt: "A futuristic cityscape at night",
  modelId: "SG161222/RealVisXL_V4.0_Lightning",
});

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SDK and API Summary

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Studio vs. Running Your Own Gateway