The Anthropic TypeScript library provides convenient access to the Anthropic REST API from applications written in server-side JavaScript. It includes TypeScript definitions for all request params and response fields.
In v0.5.0, we introduced a fully rewritten SDK. The new version offers better error handling, a more robust and intuitive streaming implementation, and more.
Key interface changes:
new Client(apiKey)→new Anthropic({ apiKey })client.complete()→client.completions.create()client.completeStream()→client.completions.create({ stream: true })onUpdatecallback →for await (const x of stream)- full message in stream → delta of message in stream
Example diff
// Import "Anthropic" instead of "Client":
- import { Client, HUMAN_PROMPT, AI_PROMPT } from '@anthropic-ai/sdk';
+ import Anthropic, { HUMAN_PROMPT, AI_PROMPT } from '@anthropic-ai/sdk';
// Instantiate with "apiKey" as an object property:
- const client = new Client(apiKey);
+ const client = new Anthropic({ apiKey });
// or, simply provide an ANTHROPIC_API_KEY environment variable:
+ const client = new Anthropic();
async function main() {
// Request & response types are the same as before, but better-typed.
const params = {
prompt: `${HUMAN_PROMPT} How many toes do dogs have?${AI_PROMPT}`,
max_tokens_to_sample: 200,
model: "claude-1",
};
// Instead of "client.complete()", you now call "client.completions.create()":
- await client.complete(params);
+ await client.completions.create(params);
// Streaming requests now use async iterators instead of callbacks:
- client.completeStream(params, {
- onUpdate: (completion) => {
- console.log(completion.completion); // full text
- },
- });
+ const stream = await client.completions.create({ ...params, stream: true });
+ for await (const completion of stream) {
+ process.stdout.write(completion.completion); // incremental text
+ }
// And, since this library uses `Anthropic-Version: 2023-06-01`,
// completion streams are now incremental diffs of text
// rather than sending the whole message every time:
let text = '';
- await client.completeStream(params, {
- onUpdate: (completion) => {
- const diff = completion.completion.replace(text, "");
- text = completion.completion;
- process.stdout.write(diff);
- },
- });
+ const stream = await client.completions.create({ ...params, stream: true });
+ for await (const completion of stream) {
+ const diff = completion.completion;
+ text += diff;
+ process.stdout.write(diff);
+ }
console.log('Done; final text is:')
console.log(text)
}
main();The API documentation can be found here.
npm install --save @anthropic-ai/sdk
# or
yarn add @anthropic-ai/sdkimport Anthropic from '@anthropic-ai/sdk';
const anthropic = new Anthropic({
apiKey: 'my api key', // defaults to process.env["ANTHROPIC_API_KEY"]
});
async function main() {
const completion = await anthropic.completions.create({
model: 'claude-1',
max_tokens_to_sample: 300,
prompt: `${Anthropic.HUMAN_PROMPT} how does a court case get to the Supreme Court? ${Anthropic.AI_PROMPT}`,
});
}
main().catch(console.error);We provide support for streaming responses using Server Side Events (SSE).
import Anthropic from '@anthropic-ai/sdk';
const anthropic = new Anthropic();
const stream = await anthropic.completions.create({
prompt: `${Anthropic.HUMAN_PROMPT} Your prompt here ${Anthropic.AI_PROMPT}`,
model: 'claude-1',
stream: true,
max_tokens_to_sample: 300,
});
for await (const completion of stream) {
console.log(completion.completion);
}If you need to cancel a stream, you can break from the loop
or call stream.controller.abort().
Importing, instantiating, and interacting with the library are the same as above. If you like, you may reference our types directly:
import Anthropic from '@anthropic-ai/sdk';
const anthropic = new Anthropic({
apiKey: 'my api key', // defaults to process.env["ANTHROPIC_API_KEY"]
});
async function main() {
const params: Anthropic.CompletionCreateParams = {
prompt: `${Anthropic.HUMAN_PROMPT} how does a court case get to the Supreme Court? ${Anthropic.AI_PROMPT}`,
max_tokens_to_sample: 300,
model: 'claude-1',
};
const completion: Anthropic.Completion = await anthropic.completions.create(params);
}
main().catch(console.error);Documentation for each method, request param, and response field are available in docstrings and will appear on hover in most modern editors.
When the library is unable to connect to the API,
or if the API returns a non-success status code (i.e., 4xx or 5xx response),
a subclass of APIError will be thrown:
async function main() {
const completion = await anthropic.completions
.create({
prompt: `${Anthropic.HUMAN_PROMPT} Your prompt here ${Anthropic.AI_PROMPT}`,
max_tokens_to_sample: 300,
model: 'claude-1',
})
.catch((err) => {
if (err instanceof Anthropic.APIError) {
console.log(err.status); // 400
console.log(err.name); // BadRequestError
console.log(err.headers); // {server: 'nginx', ...}
}
});
}
main().catch(console.error);Error codes are as followed:
| Status Code | Error Type |
|---|---|
| 400 | BadRequestError |
| 401 | AuthenticationError |
| 403 | PermissionDeniedError |
| 404 | NotFoundError |
| 422 | UnprocessableEntityError |
| 429 | RateLimitError |
| >=500 | InternalServerError |
| N/A | APIConnectionError |
Certain errors will be automatically retried 2 times by default, with a short exponential backoff. Connection errors (for example, due to a network connectivity problem), 409 Conflict, 429 Rate Limit, and >=500 Internal errors will all be retried by default.
You can use the maxRetries option to configure or disable this:
// Configure the default for all requests:
const anthropic = new Anthropic({
maxRetries: 0, // default is 2
});
// Or, configure per-request:
await anthropic.completions.create(
{
prompt: `${Anthropic.HUMAN_PROMPT} Can you help me effectively ask for a raise at work? ${Anthropic.AI_PROMPT}`,
max_tokens_to_sample: 300,
model: 'claude-1',
},
{
maxRetries: 5,
},
);Requests time out after 60 seconds by default. You can configure this with a timeout option:
// Configure the default for all requests:
const anthropic = new Anthropic({
timeout: 20 * 1000, // 20 seconds (default is 60s)
});
// Override per-request:
await anthropic.completions.create(
{
prompt: `${Anthropic.HUMAN_PROMPT} Where can I get a good coffee in my neighbourhood? ${Anthropic.AI_PROMPT}`,
max_tokens_to_sample: 300,
model: 'claude-1',
},
{
timeout: 5 * 1000,
},
);On timeout, an APIConnectionTimeoutError is thrown.
Note that requests which time out will be retried twice by default.
By default, this library uses a stable agent for all http/https requests to reuse TCP connections, eliminating many TCP & TLS handshakes and shaving around 100ms off most requests.
If you would like to disable or customize this behavior, for example to use the API behind a proxy, you can pass an httpAgent which is used for all requests (be they http or https), for example:
import http from 'http';
import Anthropic from '@anthropic-ai/sdk';
import HttpsProxyAgent from 'https-proxy-agent';
// Configure the default for all requests:
const anthropic = new Anthropic({
httpAgent: new HttpsProxyAgent(process.env.PROXY_URL),
});
// Override per-request:
await anthropic.completions.create(
{
prompt: `${Anthropic.HUMAN_PROMPT} How does a court case get to the Supreme Court? ${Anthropic.AI_PROMPT}`,
max_tokens_to_sample: 300,
model: 'claude-1',
},
{
baseURL: 'http://localhost:8080/test-api',
httpAgent: new http.Agent({ keepAlive: false }),
},
);This package is in beta. Its internals and interfaces are not stable and subject to change without a major semver bump; please reach out if you rely on any undocumented behavior.
We are keen for your feedback; please open an issue with questions, bugs, or suggestions.
The following runtimes are supported:
- Node.js 16 LTS or later (non-EOL) versions.
- Deno v1.28.0 or higher (experimental).
Use
import Anthropic from "npm:@anthropic-ai/sdk".
If you are interested in other runtime environments, please open or upvote an issue on GitHub.