This library provides convenient access to the Cerebras REST API from server-side TypeScript or JavaScript.
The REST API documentation can be found on inference-docs.cerebras.ai. The full API of this library can be found in api.md.
It is generated with Stainless.
At Cerebras, we've developed the world's largest and fastest AI processor, the Wafer-Scale Engine-3 (WSE-3). The Cerebras CS-3 system, powered by the WSE-3, represents a new class of AI supercomputer that sets the standard for generative AI training and inference with unparalleled performance and scalability.
With Cerebras as your inference provider, you can:
- Achieve unprecedented speed for AI inference workloads
- Build commercially with high throughput
- Effortlessly scale your AI workloads with our seamless clustering technology
Our CS-3 systems can be quickly and easily clustered to create the largest AI supercomputers in the world, making it simple to place and run the largest models. Leading corporations, research institutions, and governments are already using Cerebras solutions to develop proprietary models and train popular open-source models.
Want to experience the power of Cerebras? Check out our website for more resources and explore options for accessing our technology through the Cerebras Cloud or on-premise deployments!
npm install @cerebras/cerebras_cloud_sdk
Get an API Key from cloud.cerebras.ai and add it to your environment variables:
export CEREBRAS_API_KEY="your-api-key-here"
The full API of this library can be found in api.md.
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras({
apiKey: process.env['CEREBRAS_API_KEY'], // This is the default and can be omitted
});
async function main() {
const chatCompletion = await client.chat.completions.create({
messages: [{ role: 'user', content: 'Why is fast inference important?' }],
model: 'llama3.1-8b',
});
console.log(chatCompletion?.choices[0]?.message);
}
main();
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras({
apiKey: process.env['CEREBRAS_API_KEY'], // This is the default and can be omitted
});
async function main() {
const completion = await client.completions.create({
prompt: "It was a dark and stormy ",
model: 'llama3.1-8b',
});
console.log(completion?.choices[0]?.text);
}
main();
We provide support for streaming responses using Server Sent Events (SSE).
Note that when streaming, usage
and time_info
will be information will only be included in the final chunk.
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras({
apiKey: process.env['CEREBRAS_API_KEY'], // This is the default and can be omitted
});
async function main() {
const stream = await client.chat.completions.create({
messages: [{ role: 'user', content: 'Why is fast inference important?' }],
model: 'llama3.1-8b',
stream: true,
});
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.delta?.content || '');
}
}
main();
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras({
apiKey: process.env['CEREBRAS_API_KEY'], // This is the default and can be omitted
});
async function main() {
const stream = await client.completions.create({
prompt: "It was a dark and stormy ",
model: 'llama3.1-8b',
max_tokens: 10,
stream: true,
});
for await (const chunk of stream) {
process.stdout.write(chunk.choices[0]?.text || '');
}
}
main();
If you need to cancel a stream, you can break
from the loop
or call stream.controller.abort()
.
This library includes TypeScript definitions for all request params and response fields. You may import and use them like so:
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras({
apiKey: process.env['CEREBRAS_API_KEY'], // This is the default and can be omitted
});
async function main() {
const params: Cerebras.Chat.ChatCompletionCreateParams = {
messages: [{ role: 'user', content: 'Why is fast inference important?' }],
model: 'llama3.1-8b',
};
const chatCompletion: Cerebras.Chat.ChatCompletion = await client.chat.completions.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.
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:
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras({
apiKey: process.env['CEREBRAS_API_KEY'], // This is the default and can be omitted
});
async function main() {
const chatCompletion = await client.chat.completions
.create({
messages: [{ role: 'user', content: 'This should cause an error!' }],
model: 'some-model-that-doesnt-exist' as any, // Ask TS to ignore the obviously invalid model name... Do not do this!
})
.catch(async (err) => {
if (err instanceof Cerebras.APIError) {
console.log(err.status); // 400
console.log(err.name); // BadRequestError
console.log(err.headers); // {server: 'nginx', ...}
console.log(err); // Full exception
} 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 |
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:
import Cerebras from '@cerebras/cerebras_cloud_sdk';
// Configure the default for all requests:
const client = new Cerebras({
maxRetries: 0, // default is 2
});
// Or, configure per-request:
await client.chat.completions.create({ messages: [{ role: 'user', content: 'Why is fast inference important?' }], model: 'llama3.1-8b' }, {
maxRetries: 5,
});
Requests time out after 1 minute by default. You can configure this with a timeout
option:
import Cerebras from '@cerebras/cerebras_cloud_sdk';
// Configure the default for all requests:
const client = new Cerebras({
timeout: 20 * 1000, // 20 seconds (default is 1 minute)
});
// Override per-request:
await client.chat.completions.create({ messages: [{ role: 'user', content: 'Why is fast inference important?' }], model: 'llama3.1-8b' }, {
timeout: 5 * 1000,
});
On timeout, an APIConnectionTimeoutError
is thrown.
Note that requests which time out will be retried twice by default.
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.
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras();
const response = await client.chat.completions
.create({ messages: [{ role: 'user', content: 'Why is fast inference important?' }], model: 'llama3.1-8b' })
.asResponse();
console.log(response.headers.get('X-My-Header'));
console.log(response.statusText); // access the underlying Response object
const { data: chatCompletion, response: raw } = await client.chat.completions
.create({ messages: [{ role: 'user', content: 'Why is fast inference important?' }], model: 'llama3.1-8b' })
.withResponse();
console.log(raw.headers.get('X-My-Header'));
console.log(chatCompletion);
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.
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.
await client.post('/some/path', {
body: { some_prop: 'foo' },
query: { some_query_arg: 'bar' },
});
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.
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.
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.
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 "Cerebras"
:
// 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 '@cerebras/cerebras_cloud_sdk/shims/web';
import Cerebras from '@cerebras/cerebras_cloud_sdk';
To do the inverse, add import "@cerebras/cerebras_cloud_sdk/shims/node"
(which does import polyfills).
This can also be useful if you are getting the wrong TypeScript types for Response
(more details).
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:
import { fetch } from 'undici'; // as one example
import Cerebras from '@cerebras/cerebras_cloud_sdk';
const client = new Cerebras({
fetch: async (url: RequestInfo, init?: RequestInit): Promise<Response> => {
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.
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:
import http from 'http';
import { HttpsProxyAgent } from 'https-proxy-agent';
// Configure the default for all requests:
const client = new Cerebras({
httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
});
// Override per-request:
await client.chat.completions.create(
{ messages: [{ role: 'user', content: 'Why is fast inference important?' }], model: 'llama3.1-8b' },
{
httpAgent: new http.Agent({ keepAlive: false }),
},
);
This package generally follows SemVer conventions, though certain backwards-incompatible changes may be released as minor versions:
- Changes that only affect static types, without breaking runtime behavior.
- 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).
- 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 with questions, bugs, or suggestions.
TypeScript >= 4.5 is supported.
The following runtimes are supported:
- Web browsers (Up-to-date Chrome, Firefox, Safari, Edge, and more)
- Node.js 18 LTS or later (non-EOL) versions.
- Deno v1.28.0 or higher, using
import Cerebras from "npm:@cerebras/cerebras_cloud_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.
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.