@livepeer/ai

Livepeer AI JavaScript/TypeScript Library

Welcome to the Livepeer AI JavaScript/TypeScript Library! This library offers a seamless integration with the Livepeer AI API, enabling you to easily incorporate powerful AI capabilities into your JavaScript applications, whether they run in the browser or on the server side.

SDK Installation

The SDK can be installed with either npm, pnpm, bun or yarn package managers.

NPM

npm add @livepeer/ai

PNPM

pnpm add @livepeer/ai

Bun

bun add @livepeer/ai

Yarn

yarn add @livepeer/ai zod

# Note that Yarn does not install peer dependencies automatically. You will need
# to install zod as shown above.

Requirements

For supported JavaScript runtimes, please consult RUNTIMES.md.

SDK Example Usage

Example

import { LivepeerAI } from "@livepeer/ai";

const livepeerAI = new LivepeerAI({
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await livepeerAI.generate.textToImage({
    prompt: "<value>",
  });

  // Handle the result
  console.log(result);
}

run();

Available Resources and Operations

Available methods

generate

• textToImage - Text To Image
• imageToImage - Image To Image
• imageToVideo - Image To Video
• upscale - Upscale
• audioToText - Audio To Text
• segmentAnything2 - Segment Anything 2

Standalone functions

All the methods listed above are available as standalone functions. These functions are ideal for use in applications running in the browser, serverless runtimes or other environments where application bundle size is a primary concern. When using a bundler to build your application, all unused functionality will be either excluded from the final bundle or tree-shaken away.

To read more about standalone functions, check FUNCTIONS.md.

Available standalone functions

• generateAudioToText
• generateImageToImage
• generateImageToVideo
• generateSegmentAnything2
• generateTextToImage
• generateUpscale

File uploads

Certain SDK methods accept files as part of a multi-part request. It is possible and typically recommended to upload files as a stream rather than reading the entire contents into memory. This avoids excessive memory consumption and potentially crashing with out-of-memory errors when working with very large files. The following example demonstrates how to attach a file stream to a request.

[!TIP]

Depending on your JavaScript runtime, there are convenient utilities that return a handle to a file without reading the entire contents into memory:

• Node.js v20+: Since v20, Node.js comes with a native openAsBlob function in node:fs.
• Bun: The native Bun.file function produces a file handle that can be used for streaming file uploads.
• Browsers: All supported browsers return an instance to a File when reading the value from an <input type="file"> element.
• Node.js v18: A file stream can be created using the fileFrom helper from fetch-blob/from.js.

import { LivepeerAI } from "@livepeer/ai";
import { openAsBlob } from "node:fs";

const livepeerAI = new LivepeerAI({
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await livepeerAI.generate.imageToImage({
    image: await openAsBlob("example.file"),
    prompt: "<value>",
  });

  // Handle the result
  console.log(result);
}

run();

Retries

Some of the endpoints in this SDK support retries. If you use the SDK without any configuration, it will fall back to the default retry strategy provided by the API. However, the default retry strategy can be overridden on a per-operation basis, or across the entire SDK.

To change the default retry strategy for a single API call, simply provide a retryConfig object to the call:

import { LivepeerAI } from "@livepeer/ai";

const livepeerAI = new LivepeerAI({
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await livepeerAI.generate.textToImage({
    prompt: "<value>",
  }, {
    retries: {
      strategy: "backoff",
      backoff: {
        initialInterval: 1,
        maxInterval: 50,
        exponent: 1.1,
        maxElapsedTime: 100,
      },
      retryConnectionErrors: false,
    },
  });

  // Handle the result
  console.log(result);
}

run();

If you'd like to override the default retry strategy for all operations that support retries, you can provide a retryConfig at SDK initialization:

import { LivepeerAI } from "@livepeer/ai";

const livepeerAI = new LivepeerAI({
  retryConfig: {
    strategy: "backoff",
    backoff: {
      initialInterval: 1,
      maxInterval: 50,
      exponent: 1.1,
      maxElapsedTime: 100,
    },
    retryConnectionErrors: false,
  },
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await livepeerAI.generate.textToImage({
    prompt: "<value>",
  });

  // Handle the result
  console.log(result);
}

run();

Error Handling

All SDK methods return a response object or throw an error. If Error objects are specified in your OpenAPI Spec, the SDK will throw the appropriate Error type.

Error Object	Status Code	Content Type
errors.HTTPError	400,401,500	application/json
errors.HTTPValidationError	422	application/json
errors.SDKError	4xx-5xx	/

Validation errors can also occur when either method arguments or data returned from the server do not match the expected format. The SDKValidationError that is thrown as a result will capture the raw value that failed validation in an attribute called rawValue. Additionally, a pretty() method is available on this error that can be used to log a nicely formatted string since validation errors can list many issues and the plain error string may be difficult read when debugging.

import { LivepeerAI } from "@livepeer/ai";
import {
  HTTPError,
  HTTPValidationError,
  SDKValidationError,
} from "@livepeer/ai/models/errors";

const livepeerAI = new LivepeerAI({
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  let result;
  try {
    result = await livepeerAI.generate.textToImage({
      prompt: "<value>",
    });

    // Handle the result
    console.log(result);
  } catch (err) {
    switch (true) {
      case (err instanceof SDKValidationError): {
        // Validation errors can be pretty-printed
        console.error(err.pretty());
        // Raw value may also be inspected
        console.error(err.rawValue);
        return;
      }
      case (err instanceof HTTPError): {
        // Handle err.data$: HTTPErrorData
        console.error(err);
        return;
      }
      case (err instanceof HTTPValidationError): {
        // Handle err.data$: HTTPValidationErrorData
        console.error(err);
        return;
      }
      default: {
        throw err;
      }
    }
  }
}

run();

Server Selection

Select Server by Index

You can override the default server globally by passing a server index to the serverIdx optional parameter when initializing the SDK client instance. The selected server will then be used as the default on the operations that use it. This table lists the indexes associated with the available servers:

#	Server	Variables
0	https://dream-gateway.livepeer.cloud	None
1	https://livepeer.studio/api/beta/generate	None

import { LivepeerAI } from "@livepeer/ai";

const livepeerAI = new LivepeerAI({
  serverIdx: 1,
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await livepeerAI.generate.textToImage({
    prompt: "<value>",
  });

  // Handle the result
  console.log(result);
}

run();

Override Server URL Per-Client

The default server can also be overridden globally by passing a URL to the serverURL optional parameter when initializing the SDK client instance. For example:

import { LivepeerAI } from "@livepeer/ai";

const livepeerAI = new LivepeerAI({
  serverURL: "https://dream-gateway.livepeer.cloud",
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await livepeerAI.generate.textToImage({
    prompt: "<value>",
  });

  // Handle the result
  console.log(result);
}

run();

Custom HTTP Client

The TypeScript SDK makes API calls using an HTTPClient that wraps the native Fetch API. This client is a thin wrapper around fetch and provides the ability to attach hooks around the request lifecycle that can be used to modify the request or handle errors and response.

The HTTPClient constructor takes an optional fetcher argument that can be used to integrate a third-party HTTP client or when writing tests to mock out the HTTP client and feed in fixtures.

The following example shows how to use the "beforeRequest" hook to to add a custom header and a timeout to requests and how to use the "requestError" hook to log errors:

import { LivepeerAI } from "@livepeer/ai";
import { HTTPClient } from "@livepeer/ai/lib/http";

const httpClient = new HTTPClient({
  // fetcher takes a function that has the same signature as native `fetch`.
  fetcher: (request) => {
    return fetch(request);
  }
});

httpClient.addHook("beforeRequest", (request) => {
  const nextRequest = new Request(request, {
    signal: request.signal || AbortSignal.timeout(5000)
  });

  nextRequest.headers.set("x-custom-header", "custom value");

  return nextRequest;
});

httpClient.addHook("requestError", (error, request) => {
  console.group("Request Error");
  console.log("Reason:", `${error}`);
  console.log("Endpoint:", `${request.method} ${request.url}`);
  console.groupEnd();
});

const sdk = new LivepeerAI({ httpClient });

Authentication

Per-Client Security Schemes

This SDK supports the following security scheme globally:

Name	Type	Scheme
httpBearer	http	HTTP Bearer

To authenticate with the API the httpBearer parameter must be set when initializing the SDK client instance. For example:

import { LivepeerAI } from "@livepeer/ai";

const livepeerAI = new LivepeerAI({
  httpBearer: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await livepeerAI.generate.textToImage({
    prompt: "<value>",
  });

  // Handle the result
  console.log(result);
}

run();

Debugging

You can setup your SDK to emit debug logs for SDK requests and responses.

You can pass a logger that matches console's interface as an SDK option.

[!WARNING] Beware that debug logging will reveal secrets, like API tokens in headers, in log messages printed to a console or files. It's recommended to use this feature only during local development and not in production.

import { LivepeerAI } from "@livepeer/ai";

const sdk = new LivepeerAI({ debugLogger: console });

Summary

Livepeer AI Runner: An application to run AI pipelines

Table of Contents

• SDK Installation
• Requirements
• SDK Example Usage
• Available Resources and Operations
• Standalone functions
• File uploads
• Retries
• Error Handling
• Server Selection
• Custom HTTP Client
• Authentication
• Debugging

Development

Maturity

This SDK is in alpha, and there may be breaking changes between versions without a major version update. Therefore, we recommend pinning usage to a specific package version. This way, you can install the same version each time without breaking changes unless you are intentionally looking for the latest version.

Contributions

While we value open-source contributions to this SDK, this library is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.

SDK Created by Speakeasy