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.

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``bash
npm add @livepeer/ai
`

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`bash
pnpm add @livepeer/ai
`

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`bash
bun add @livepeer/ai
`

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`bash
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

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`typescript
import { Livepeer } from "@livepeer/ai";

const livepeer = new Livepeer({
httpBearer: "",
});

async function run() {
const result = await livepeer.generate.textToImage({
modelId: "",
loras: "",
prompt: "",
height: 576,
width: 1024,
guidanceScale: 7.5,
negativePrompt: "",
safetyCheck: true,
numInferenceSteps: 50,
numImagesPerPrompt: 1,
});

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

run();

`





Available Resources and Operations

Available methods

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* textToImage - Text To Image
* imageToImage - Image To Image
* imageToVideo - Image To Video
* upscale - Upscale
* audioToText - Audio To Text
* segmentAnything2 - Segment Anything 2
* llm - LLM
* imageToText - Image To Text
* liveVideoToVideo - Live Video To Video
* textToSpeech - Text To Speech

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 - Audio To Text
- generateImageToImage - Image To Image
- generateImageToText - Image To Text
- generateImageToVideo - Image To Video
- generateLiveVideoToVideo - Live Video To Video
- generateLlm - LLM
- generateSegmentAnything2 - Segment Anything 2
- generateTextToImage - Text To Image
- generateTextToSpeech - Text To Speech
- generateUpscale - Upscale

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 element.
> - Node.js v18: A file stream can be created using the fileFrom helper from fetch-blob/from.js.

`typescript
import { Livepeer } from "@livepeer/ai";
import { openAsBlob } from "node:fs";

const livepeer = new Livepeer({
httpBearer: "",
});

async function run() {
const result = await livepeer.generate.imageToImage({
image: await openAsBlob("example.file"),
prompt: "",
guidanceScale: 7.5,
imageGuidanceScale: 1.5,
loras: "",
modelId: "",
negativePrompt: "",
numImagesPerPrompt: 1,
numInferenceSteps: 100,
safetyCheck: true,
strength: 0.8,
});

// 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:
`typescript
import { Livepeer } from "@livepeer/ai";

const livepeer = new Livepeer({
httpBearer: "",
});

async function run() {
const result = await livepeer.generate.textToImage({
modelId: "",
loras: "",
prompt: "",
height: 576,
width: 1024,
guidanceScale: 7.5,
negativePrompt: "",
safetyCheck: true,
numInferenceSteps: 50,
numImagesPerPrompt: 1,
}, {
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:
`typescript
import { Livepeer } from "@livepeer/ai";

const livepeer = new Livepeer({
retryConfig: {
strategy: "backoff",
backoff: {
initialInterval: 1,
maxInterval: 50,
exponent: 1.1,
maxElapsedTime: 100,
},
retryConnectionErrors: false,
},
httpBearer: "",
});

async function run() {
const result = await livepeer.generate.textToImage({
modelId: "",
loras: "",
prompt: "",
height: 576,
width: 1024,
guidanceScale: 7.5,
negativePrompt: "",
safetyCheck: true,
numInferenceSteps: 50,
numImagesPerPrompt: 1,
});

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

run();

`





Error Handling

Some methods specify known errors which can be thrown. All the known errors are enumerated in the models/errors/errors.ts module. The known errors for a method are documented under the Errors tables in SDK docs. For example, the textToImage method may throw the following errors:

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

If the method throws an error and it is not captured by the known errors, it will default to throwing a SDKError.

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

const livepeer = new Livepeer({
httpBearer: "",
});

async function run() {
let result;
try {
result = await livepeer.generate.textToImage({
modelId: "",
loras: "",
prompt: "",
height: 576,
width: 1024,
guidanceScale: 7.5,
negativePrompt: "",
safetyCheck: true,
numInferenceSteps: 50,
numImagesPerPrompt: 1,
});

// Handle the result
console.log(result);
} catch (err) {
switch (true) {
// The server response does not match the expected SDK schema
case (err instanceof SDKValidationError): {
// Pretty-print will provide a human-readable multi-line error message
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;
}
case (err instanceof HTTPError): {
// Handle err.data$: HTTPErrorData
console.error(err);
return;
}
default: {
// Other errors such as network errors, see HTTPClientErrors for more details
throw err;
}
}
}
}

run();

`

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 multi-line string since validation errors can list many issues and the plain error string may be difficult read when debugging.

In some rare cases, the SDK can fail to get a response from the server or even make the request due to unexpected circumstances such as network conditions. These types of errors are captured in the models/errors/httpclienterrors.ts module:

| HTTP Client Error | Description |
| ---------------------------------------------------- | ---------------------------------------------------- |
| RequestAbortedError | HTTP request was aborted by the client |
| RequestTimeoutError | HTTP request timed out due to an AbortSignal signal |
| ConnectionError | HTTP client was unable to make a request to a server |
| InvalidRequestError | Any input used to create a request is invalid |
| UnexpectedClientError | Unrecognised or unexpected error |





Server Selection

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You can override the default server globally by passing a server index to the serverIdx: number 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 |
| --- | ------------------------------------------- |
| 0 | https://dream-gateway.livepeer.cloud |
| 1 | https://livepeer.studio/api/beta/generate |

#### Example

`typescript
import { Livepeer } from "@livepeer/ai";

const livepeer = new Livepeer({
serverIdx: 1,
httpBearer: "",
});

async function run() {
const result = await livepeer.generate.textToImage({
modelId: "",
loras: "",
prompt: "",
height: 576,
width: 1024,
guidanceScale: 7.5,
negativePrompt: "",
safetyCheck: true,
numInferenceSteps: 50,
numImagesPerPrompt: 1,
});

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

run();

`

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The default server can also be overridden globally by passing a URL to the serverURL: string optional parameter when initializing the SDK client instance. For example:
`typescript
import { Livepeer } from "@livepeer/ai";

const livepeer = new Livepeer({
serverURL: "https://dream-gateway.livepeer.cloud",
httpBearer: "",
});

async function run() {
const result = await livepeer.generate.textToImage({
modelId: "",
loras: "",
prompt: "",
height: 576,
width: 1024,
guidanceScale: 7.5,
negativePrompt: "",
safetyCheck: true,
numInferenceSteps: 50,
numImagesPerPrompt: 1,
});

// 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:

`typescript
import { Livepeer } 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 Livepeer({ httpClient });
`





Authentication

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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:
`typescript
import { Livepeer } from "@livepeer/ai";

const livepeer = new Livepeer({
httpBearer: "",
});

async function run() {
const result = await livepeer.generate.textToImage({
modelId: "",
loras: "",
prompt: "",
height: 576,
width: 1024,
guidanceScale: 7.5,
negativePrompt: "",
safetyCheck: true,
numInferenceSteps: 50,
numImagesPerPrompt: 1,
});

// 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.

`typescript
import { Livepeer } from "@livepeer/ai";

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

Summary

Livepeer AI Runner: An application to run AI pipelines

Table of Contents

* Livepeer AI JavaScript/TypeScript Library
* 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
* Contributions

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.

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