@hedra/sdk
v3.0.0
Published
The official TypeScript library for the Hedra API — API spec 3.9.0
Readme
Hedra TypeScript Library
The Hedra TypeScript library provides convenient access to the Hedra APIs from TypeScript.
Table of Contents
- Installation
- Reference
- Usage
- Custom base URL
- Request and Response Types
- Pagination
- Exception Handling
- File Uploads
- Advanced
- Contributing
Installation
npm i -s @hedra/sdkReference
A full reference for this library is available here.
Usage
Instantiate and use the client with the following:
import { HedraClient } from "@hedra/sdk";
const client = new HedraClient({ apiKey: "YOUR_API_KEY" });
const submitted = await client.jobs.submitKlingO3({
input: {
prompt: "a fox sprinting across fresh snow",
aspect_ratio: "16:9",
duration_ms: 5000,
quality: "standard",
},
});
// Poll until the job reaches a terminal state, then fetch the result envelope.
let status = await client.jobs.getStatus(submitted.job_id);
while (status.status === "IN_QUEUE" || status.status === "IN_PROGRESS") {
await new Promise((resolve) => setTimeout(resolve, 2000));
status = await client.jobs.getStatus(submitted.job_id);
}
const result = await client.jobs.get(submitted.job_id);
console.log(result.outputs?.[0]?.url);Every model has its own submit method — submitKlingO3, submitVeo3, submitNanoBanana
and so on — each taking the input that model actually accepts, checked at compile time.
The reference lists all of them.
Instead of polling you can consume the job's server-sent event stream with
client.jobs.stream(job_id).
The client authenticates with Authorization: Bearer <api key>; an API key is the
<key_id>:<secret> credential from the Hedra console. When apiKey is not passed,
it is read from the HEDRA_API_KEY environment variable.
Custom base URL
The client targets https://api.hedra.com/v3. Pass a URL as environment to point
elsewhere (e.g. a mock server in tests):
import { HedraClient } from "@hedra/sdk";
const client = new HedraClient({
environment: "http://localhost:8000/v3",
});Request and Response Types
The SDK exports all request and response types as TypeScript interfaces. Simply import them with the following namespace:
import { Hedra } from "@hedra/sdk";
const request: Hedra.SubmitBodyKlingO3 = {
...
};Pagination
client.jobs.list(...) returns a Page that can be iterated asynchronously; it
fetches cursor pages lazily as you iterate:
const page = await client.jobs.list({ limit: 50 });
for await (const job of page) {
console.log(job.job_id, job.status);
}Exception Handling
When the API returns a non-success status code (4xx or 5xx response), a subclass of the following error will be thrown.
import { HedraError } from "@hedra/sdk";
try {
await client.jobs.submitKlingO3(...);
} catch (err) {
if (err instanceof HedraError) {
console.log(err.statusCode);
console.log(err.message);
console.log(err.body);
console.log(err.rawResponse);
}
}File Uploads
You can upload files using the client:
import * as fs from "fs";
import { HedraClient } from "@hedra/sdk";
const client = new HedraClient({ apiKey: "YOUR_API_KEY" });
await client.files.upload({
file: fs.createReadStream("/path/to/your/file"),
});The client accepts a variety of types for file upload parameters:
- Stream types:
fs.ReadStream,stream.Readable, andReadableStream - Buffered types:
Buffer,Blob,File,ArrayBuffer,ArrayBufferView, andUint8Array
Metadata
You can configure metadata when uploading a file:
import { createReadStream } from "fs";
import { Uploadable } from "@hedra/sdk";
const file: Uploadable.WithMetadata = {
data: createReadStream("path/to/file"),
filename: "my-file", // optional
contentType: "audio/mpeg", // optional
contentLength: 1949, // optional
};Alternatively, you can upload a file directly from a file path:
import { Uploadable } from "@hedra/sdk";
const file: Uploadable.FromPath = {
path: "path/to/file",
filename: "my-file", // optional
contentType: "audio/mpeg", // optional
contentLength: 1949, // optional
};The metadata is used to set the Content-Length, Content-Type, and Content-Disposition headers. If not provided, the client will attempt to determine them automatically.
For example, fs.ReadStream has a path property which the SDK uses to retrieve the file size from the filesystem without loading it into memory.
Advanced
Additional Headers
If you would like to send additional headers as part of the request, use the headers request option.
import { HedraClient } from "@hedra/sdk";
const client = new HedraClient({
...
headers: {
'X-Custom-Header': 'custom value'
}
});
const response = await client.jobs.submitKlingO3(..., {
headers: {
'X-Custom-Header': 'custom value'
}
});Additional Query String Parameters
If you would like to send additional query string parameters as part of the request, use the queryParams request option.
const response = await client.jobs.submitKlingO3(..., {
queryParams: {
'customQueryParamKey': 'custom query param value'
}
});Retries
The SDK is instrumented with automatic retries with exponential backoff. A request will be retried as long as the request is deemed retryable and the number of retry attempts has not grown larger than the configured retry limit (default: 2).
Which status codes are retried depends on the retryStatusCodes generator configuration:
legacy (current default): retries on
recommended: retries on
Use the maxRetries request option to configure this behavior.
const response = await client.jobs.submitKlingO3(..., {
maxRetries: 0 // override maxRetries at the request level
});Timeouts
The SDK defaults to a 60 second timeout. Use the timeoutInSeconds option to configure this behavior.
const response = await client.jobs.submitKlingO3(..., {
timeoutInSeconds: 30 // override timeout to 30s
});Aborting Requests
The SDK allows users to abort requests at any point by passing in an abort signal.
const controller = new AbortController();
const response = await client.jobs.submitKlingO3(..., {
abortSignal: controller.signal
});
controller.abort(); // aborts the requestAccess Raw Response Data
The SDK provides access to raw response data, including headers, through the .withRawResponse() method.
The .withRawResponse() method returns a promise that results to an object with a data and a rawResponse property.
const { data, rawResponse } = await client.jobs.submitKlingO3(...).withRawResponse();
console.log(data);
console.log(rawResponse.headers['X-My-Header']);Logging
The SDK supports logging. You can configure the logger by passing in a logging object to the client options.
import { HedraClient, logging } from "@hedra/sdk";
const client = new HedraClient({
...
logging: {
level: logging.LogLevel.Debug, // defaults to logging.LogLevel.Info
logger: new logging.ConsoleLogger(), // defaults to ConsoleLogger
silent: false, // defaults to true, set to false to enable logging
}
});The logging object can have the following properties:
level: The log level to use. Defaults tologging.LogLevel.Info.logger: The logger to use. Defaults to alogging.ConsoleLogger.silent: Whether to silence the logger. Defaults totrue.
The level property can be one of the following values:
logging.LogLevel.Debuglogging.LogLevel.Infologging.LogLevel.Warnlogging.LogLevel.Error
To provide a custom logger, you can pass in an object that implements the logging.ILogger interface.
Here's an example using the popular winston logging library.
import winston from 'winston';
const winstonLogger = winston.createLogger({...});
const logger: logging.ILogger = {
debug: (msg, ...args) => winstonLogger.debug(msg, ...args),
info: (msg, ...args) => winstonLogger.info(msg, ...args),
warn: (msg, ...args) => winstonLogger.warn(msg, ...args),
error: (msg, ...args) => winstonLogger.error(msg, ...args),
};Here's an example using the popular pino logging library.
import pino from 'pino';
const pinoLogger = pino({...});
const logger: logging.ILogger = {
debug: (msg, ...args) => pinoLogger.debug(args, msg),
info: (msg, ...args) => pinoLogger.info(args, msg),
warn: (msg, ...args) => pinoLogger.warn(args, msg),
error: (msg, ...args) => pinoLogger.error(args, msg),
};Custom Fetch
The SDK provides a low-level fetch method for making custom HTTP requests while still
benefiting from SDK-level configuration like authentication, retries, timeouts, and logging.
This is useful for calling API endpoints not yet supported in the SDK.
Construct the client with an explicit environment (or baseUrl) when you use it. Unlike
the resource clients, client.fetch does not fall back to the default production URL, so on
a default-constructed client a relative path reaches fetch() unresolved and throws
TypeError: Failed to parse URL.
import { HedraClient, HedraEnvironment } from "@hedra/sdk";
const client = new HedraClient({
apiKey: "YOUR_API_KEY",
environment: HedraEnvironment.Production,
});
const response = await client.fetch("/some/unsupported/endpoint", {
method: "GET",
}, {
timeoutInSeconds: 30,
maxRetries: 3,
headers: {
"X-Custom-Header": "custom-value",
},
});
const data = await response.json();Prefer a relative path against a configured environment, as above — it is the one form
that both resolves and carries the Authorization header on every generator version.
Credentials are not guaranteed to be attached to an absolute URL that points somewhere
other than your configured base.
Runtime Compatibility
The SDK works in the following runtimes:
- Node.js 18+
- Vercel
- Cloudflare Workers
- Deno v1.25+
- Bun 1.0+
- React Native
Contributing
While we value open-source contributions to this SDK, this library is generated programmatically. Additions made directly to this library would have to be moved over to our generation code, otherwise they would be overwritten upon the next generated release. Feel free to open a PR as a proof of concept, but know that we will not be able to merge it as-is. We suggest opening an issue first to discuss with us!
On the other hand, contributions to the README are always very welcome!
