Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/runwayml/sdk-node
https://github.com/runwayml/sdk-node
Last synced: about 2 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/runwayml/sdk-node
- Owner: runwayml
- License: apache-2.0
- Created: 2024-09-16T22:18:43.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-11-06T19:42:57.000Z (about 2 months ago)
- Last Synced: 2024-11-06T20:30:17.377Z (about 2 months ago)
- Language: TypeScript
- Size: 188 KB
- Stars: 5
- Watchers: 11
- Forks: 1
- Open Issues: 6
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Security: SECURITY.md
Awesome Lists containing this project
README
# RunwayML Node API Library
[](https://npmjs.org/package/@runwayml/sdk) 
This library provides convenient access to the RunwayML REST API from server-side TypeScript or JavaScript.
The REST API documentation can be found on [dev.runwayml.com](https://dev.runwayml.com). The full API of this library can be found in [api.md](api.md).
It is generated with [Stainless](https://www.stainlessapi.com/).
## Installation
```sh
npm install @runwayml/sdk
```
## Usage
The full API of this library can be found in [api.md](api.md).
```js
import RunwayML from '@runwayml/sdk';
const client = new RunwayML({
apiKey: process.env['RUNWAYML_API_SECRET'], // This is the default and can be omitted
});
async function main() {
const imageToVideo = await client.imageToVideo.create({
model: 'gen3a_turbo',
promptImage: 'https://example.com/assets/bunny.jpg',
promptText: 'The bunny is eating a carrot',
});
console.log(imageToVideo.id);
}
main();
```
### Request & Response types
This library includes TypeScript definitions for all request params and response fields. You may import and use them like so:
```ts
import RunwayML from '@runwayml/sdk';
const client = new RunwayML({
apiKey: process.env['RUNWAYML_API_SECRET'], // This is the default and can be omitted
});
async function main() {
const params: RunwayML.ImageToVideoCreateParams = {
model: 'gen3a_turbo',
promptImage: 'https://example.com/assets/bunny.jpg',
promptText: 'The bunny is eating a carrot',
};
const imageToVideo: RunwayML.ImageToVideoCreateResponse = await client.imageToVideo.create(params);
}
main();
```
Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.
## Handling errors
When the library is unable to connect to the API,
or if the API returns a non-success status code (i.e., 4xx or 5xx response),
a subclass of `APIError` will be thrown:
```ts
async function main() {
const imageToVideo = await client.imageToVideo
.create({
model: 'gen3a_turbo',
promptImage: 'https://example.com/assets/bunny.jpg',
promptText: 'The bunny is eating a carrot',
})
.catch(async (err) => {
if (err instanceof RunwayML.APIError) {
console.log(err.status); // 400
console.log(err.name); // BadRequestError
console.log(err.headers); // {server: 'nginx', ...}
} else {
throw err;
}
});
}
main();
```
Error codes are as followed:
| Status Code | Error Type |
| ----------- | -------------------------- |
| 400 | `BadRequestError` |
| 401 | `AuthenticationError` |
| 403 | `PermissionDeniedError` |
| 404 | `NotFoundError` |
| 422 | `UnprocessableEntityError` |
| 429 | `RateLimitError` |
| >=500 | `InternalServerError` |
| N/A | `APIConnectionError` |
### Retries
Certain errors will be automatically retried 2 times by default, with a short exponential backoff.
Connection errors (for example, due to a network connectivity problem), 408 Request Timeout, 409 Conflict,
429 Rate Limit, and >=500 Internal errors will all be retried by default.
You can use the `maxRetries` option to configure or disable this:
```js
// Configure the default for all requests:
const client = new RunwayML({
maxRetries: 0, // default is 2
});
// Or, configure per-request:
await client.imageToVideo.create({ model: 'gen3a_turbo', promptImage: 'https://example.com/assets/bunny.jpg', promptText: 'The bunny is eating a carrot' }, {
maxRetries: 5,
});
```
### Timeouts
Requests time out after 1 minute by default. You can configure this with a `timeout` option:
```ts
// Configure the default for all requests:
const client = new RunwayML({
timeout: 20 * 1000, // 20 seconds (default is 1 minute)
});
// Override per-request:
await client.imageToVideo.create({ model: 'gen3a_turbo', promptImage: 'https://example.com/assets/bunny.jpg', promptText: 'The bunny is eating a carrot' }, {
timeout: 5 * 1000,
});
```
On timeout, an `APIConnectionTimeoutError` is thrown.
Note that requests which time out will be [retried twice by default](#retries).
## Advanced Usage
### Accessing raw Response data (e.g., headers)
The "raw" `Response` returned by `fetch()` can be accessed through the `.asResponse()` method on the `APIPromise` type that all methods return.
You can also use the `.withResponse()` method to get the raw `Response` along with the parsed data.
```ts
const client = new RunwayML();
const response = await client.imageToVideo
.create({
model: 'gen3a_turbo',
promptImage: 'https://example.com/assets/bunny.jpg',
promptText: 'The bunny is eating a carrot',
})
.asResponse();
console.log(response.headers.get('X-My-Header'));
console.log(response.statusText); // access the underlying Response object
const { data: imageToVideo, response: raw } = await client.imageToVideo
.create({
model: 'gen3a_turbo',
promptImage: 'https://example.com/assets/bunny.jpg',
promptText: 'The bunny is eating a carrot',
})
.withResponse();
console.log(raw.headers.get('X-My-Header'));
console.log(imageToVideo.id);
```
### Making custom/undocumented requests
This library is typed for convenient access to the documented API. If you need to access undocumented
endpoints, params, or response properties, the library can still be used.
#### Undocumented endpoints
To make requests to undocumented endpoints, you can use `client.get`, `client.post`, and other HTTP verbs.
Options on the client, such as retries, will be respected when making these requests.
```ts
await client.post('/some/path', {
body: { some_prop: 'foo' },
query: { some_query_arg: 'bar' },
});
```
#### Undocumented request params
To make requests using undocumented parameters, you may use `// @ts-expect-error` on the undocumented
parameter. This library doesn't validate at runtime that the request matches the type, so any extra values you
send will be sent as-is.
```ts
client.foo.create({
foo: 'my_param',
bar: 12,
// @ts-expect-error baz is not yet public
baz: 'undocumented option',
});
```
For requests with the `GET` verb, any extra params will be in the query, all other requests will send the
extra param in the body.
If you want to explicitly send an extra argument, you can do so with the `query`, `body`, and `headers` request
options.
#### Undocumented response properties
To access undocumented response properties, you may access the response object with `// @ts-expect-error` on
the response object, or cast the response object to the requisite type. Like the request params, we do not
validate or strip extra properties from the response from the API.
### Customizing the fetch client
By default, this library uses `node-fetch` in Node, and expects a global `fetch` function in other environments.
If you would prefer to use a global, web-standards-compliant `fetch` function even in a Node environment,
(for example, if you are running Node with `--experimental-fetch` or using NextJS which polyfills with `undici`),
add the following import before your first import `from "RunwayML"`:
```ts
// Tell TypeScript and the package to use the global web fetch instead of node-fetch.
// Note, despite the name, this does not add any polyfills, but expects them to be provided if needed.
import '@runwayml/sdk/shims/web';
import RunwayML from '@runwayml/sdk';
```
To do the inverse, add `import "@runwayml/sdk/shims/node"` (which does import polyfills).
This can also be useful if you are getting the wrong TypeScript types for `Response` ([more details](https://github.com/runwayml/sdk-node/tree/main/src/_shims#readme)).
### Logging and middleware
You may also provide a custom `fetch` function when instantiating the client,
which can be used to inspect or alter the `Request` or `Response` before/after each request:
```ts
import { fetch } from 'undici'; // as one example
import RunwayML from '@runwayml/sdk';
const client = new RunwayML({
fetch: async (url: RequestInfo, init?: RequestInit): Promise => {
console.log('About to make a request', url, init);
const response = await fetch(url, init);
console.log('Got response', response);
return response;
},
});
```
Note that if given a `DEBUG=true` environment variable, this library will log all requests and responses automatically.
This is intended for debugging purposes only and may change in the future without notice.
### Configuring an HTTP(S) Agent (e.g., for proxies)
By default, this library uses a stable agent for all http/https requests to reuse TCP connections, eliminating many TCP & TLS handshakes and shaving around 100ms off most requests.
If you would like to disable or customize this behavior, for example to use the API behind a proxy, you can pass an `httpAgent` which is used for all requests (be they http or https), for example:
```ts
import http from 'http';
import { HttpsProxyAgent } from 'https-proxy-agent';
// Configure the default for all requests:
const client = new RunwayML({
httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
});
// Override per-request:
await client.imageToVideo.create(
{
model: 'gen3a_turbo',
promptImage: 'https://example.com/assets/bunny.jpg',
promptText: 'The bunny is eating a carrot',
},
{
httpAgent: new http.Agent({ keepAlive: false }),
},
);
```
## Semantic versioning
This package generally follows [SemVer](https://semver.org/spec/v2.0.0.html) conventions, though certain backwards-incompatible changes may be released as minor versions:
1. Changes that only affect static types, without breaking runtime behavior.
2. Changes to library internals which are technically public but not intended or documented for external use. _(Please open a GitHub issue to let us know if you are relying on such internals)_.
3. Changes that we do not expect to impact the vast majority of users in practice.
We take backwards-compatibility seriously and work hard to ensure you can rely on a smooth upgrade experience.
We are keen for your feedback; please open an [issue](https://www.github.com/runwayml/sdk-node/issues) with questions, bugs, or suggestions.
## Requirements
TypeScript >= 4.5 is supported.
The following runtimes are supported:
- Node.js 18 LTS or later ([non-EOL](https://endoflife.date/nodejs)) versions.
- Deno v1.28.0 or higher, using `import RunwayML from "npm:@runwayml/sdk"`.
- Bun 1.0 or later.
- Cloudflare Workers.
- Vercel Edge Runtime.
- Jest 28 or greater with the `"node"` environment (`"jsdom"` is not supported at this time).
- Nitro v2.6 or greater.
> [!WARNING]
> Web browser runtimes aren't supported. The SDK will throw an error if used in a browser environment.
Note that React Native is not supported at this time.
If you are interested in other runtime environments, please open or upvote an issue on GitHub.
## Contributing
See [the contributing documentation](./CONTRIBUTING.md).