@anthropic-ai/bedrock-sdk

Anthropic Bedrock TypeScript API Library

This library provides convenient access to the Anthropic Bedrock REST API from server-side TypeScript or JavaScript.

For the non-Bedrock Anthropic API at api.anthropic.com, see @anthropic-ai/sdk.

The API documentation can be found here.

Installation

npm install --save @anthropic-ai/bedrock-sdk
# or
yarn add @anthropic-ai/bedrock-sdk

Usage

The full API of this library can be found in api.md.

import AnthropicBedrock from '@anthropic-ai/bedrock-sdk';

const client = new AnthropicBedrock({
  // Authenticate by either providing the keys below or use the default AWS credential providers, such as
  // using ~/.aws/credentials or the "AWS_SECRET_ACCESS_KEY" and "AWS_ACCESS_KEY_ID" environment variables.
  awsAccessKey: '<access key>',
  awsSecretKey: '<secret key>',

  // Temporary credentials can be used with awsSessionToken.
  // Read more at https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html.
  awsSessionToken: '<session_token>',

  // awsRegion changes the aws region to which the request is made. By default, we read AWS_REGION,
  // and if that's not present, we default to us-east-1. Note that we do not read ~/.aws/config for the region.
  awsRegion: 'us-east-2',
});

async function main() {
  const completion = await client.completions.create({
    model: 'anthropic.claude-v2',
    max_tokens_to_sample: 256,
    prompt: `${AnthropicBedrock.HUMAN_PROMPT} how does a court case get to the Supreme Court? ${AnthropicBedrock.AI_PROMPT}`,
  });
}
main().catch(console.error);

Streaming Responses

We provide support for streaming responses using Server Sent Events (SSE).

import AnthropicBedrock from '@anthropic-ai/bedrock-sdk';

const client = new AnthropicBedrock();

const stream = await client.completions.create({
  prompt: `${AnthropicBedrock.HUMAN_PROMPT} Your prompt here${AnthropicBedrock.AI_PROMPT}`,
  model: 'anthropic.claude-v2',
  stream: true,
  max_tokens_to_sample: 300,
});
for await (const completion of stream) {
  console.log(completion.completion);
}

If you need to cancel a stream, you can break from the loop or call stream.controller.abort().

Request & Response types

This library includes TypeScript definitions for all request params and response fields. You may import and use them like so:

import AnthropicBedrock from '@anthropic-ai/bedrock-sdk';

const client = new AnthropicBedrock();

async function main() {
  const params: AnthropicBedrock.CompletionCreateParams = {
    model: 'anthropic.claude-v2',
    prompt: `${AnthropicBedrock.HUMAN_PROMPT} how does a court case get to the Supreme Court? ${AnthropicBedrock.AI_PROMPT}`,
    max_tokens_to_sample: 256,
  };
  const completion: AnthropicBedrock.Completion = await client.completions.create(params);
}
main().catch(console.error);

Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.

This library uses @smithy/signature-v4 internally for authentication; you can read more about default providers here.

Counting Tokens

We provide a separate package for counting how many tokens a given piece of text contains.

See the repository documentation for more details.

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:

async function main() {
  const completion = await anthropicBedrock.completions
    .create({
      model: 'anthropic.claude-v2',
      prompt: `${AnthropicBedrock.HUMAN_PROMPT} your prompt here ${AnthropicBedrock.AI_PROMPT}`,
      max_tokens_to_sample: 256,
    })
    .catch((err) => {
      if (err instanceof AnthropicBedrock.APIError) {
        console.log(err.status); // 400
        console.log(err.name); // BadRequestError
        console.log(err.headers); // {server: 'nginx', ...}
      }
    });
}
main().catch(console.error);

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:

// Configure the default for all requests:
const client = new AnthropicBedrock({
  maxRetries: 0, // default is 2
});

// Or, configure per-request:
await client.completions.create(
  {
    prompt: `${AnthropicBedrock.HUMAN_PROMPT} Can you help me effectively ask for a raise at work?${AnthropicBedrock.AI_PROMPT}`,
    max_tokens_to_sample: 300,
    model: 'anthropic.claude-v2',
  },
  {
    maxRetries: 5,
  },
);

Timeouts

Requests time out after 1 minute by default. You can configure this with a timeout option:

// Configure the default for all requests:
const client = new AnthropicBedrock({
  timeout: 20 * 1000, // 20 seconds (default is 10 minutes)
});

// Override per-request:
await client.completions.create(
  {
    prompt: `${AnthropicBedrock.HUMAN_PROMPT} Where can I get a good coffee in my neighbourhood?${AnthropicBedrock.AI_PROMPT}`,
    max_tokens_to_sample: 300,
    model: 'anthropic.claude-v2',
  },
  {
    timeout: 5 * 1000,
  },
);

On timeout, an APIConnectionTimeoutError is thrown.

Note that requests which time out will be retried twice by default.

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.

const response = await client.completions
  .create({
    model: 'anthropic.claude-v2',
    prompt: `${AnthropicBedrock.HUMAN_PROMPT} your prompt here ${AnthropicBedrock.AI_PROMPT}`,
    max_tokens_to_sample: 256,
  })
  .asResponse();

console.log(response.headers.get('X-My-Header'));
console.log(response.statusText); // access the underlying Response object

const { data: completions, response: raw } = await client.completions
  .create({
    model: 'anthropic.claude-v2',
    prompt: `${AnthropicBedrock.HUMAN_PROMPT} your prompt here ${AnthropicBedrock.AI_PROMPT}`,
    max_tokens_to_sample: 256,
  })
  .withResponse();

console.log(raw.headers.get('X-My-Header'));
console.log(completions.choices);

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 "AnthropicBedrock":

// 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 "@anthropic-ai/bedrock-sdk/shims/web";
import AnthropicBedrock from "@anthropic-ai/bedrock-sdk";

To do the inverse, add import "@anthropic-ai/bedrock-sdk/shims/node" (which does import polyfills). This can also be useful if you are getting the wrong TypeScript types for Response - more details here.

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 AnthropicBedrock from '@anthropic-ai/bedrock-sdk';

const client = new AnthropicBedrock({
  fetch: (url: RequestInfo, init?: RequestInfo): Response => {
    console.log('About to make 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:

import http from 'http';
import AnthropicBedrock from '@anthropic-ai/bedrock-sdk';
import HttpsProxyAgent from 'https-proxy-agent';

// Configure the default for all requests:
const client = new AnthropicBedrock({
  httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
});

// Override per-request:
await client.completions.create(
  {
    prompt: `${AnthropicBedrock.HUMAN_PROMPT} How does a court case get to the Supreme Court?${AnthropicBedrock.AI_PROMPT}`,
    max_tokens_to_sample: 300,
    model: 'anthropic.claude-v2',
  },
  {
    baseURL: 'http://localhost:8080/test-api',
    httpAgent: new http.Agent({ keepAlive: false }),
  },
);

Semantic Versioning

This package generally follows SemVer 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 with questions, bugs, or suggestions.

Requirements

TypeScript >= 4.5 is supported.

The following runtimes are supported:

• Node.js 18 LTS or later (non-EOL) versions.
• Deno v1.28.0 or higher, using import AnthropicBedrock from "npm:@anthropic-ai/bedrock-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.