Turbopuffer TypeScript API Library 

This library provides convenient access to the Turbopuffer HTTP API from server-side TypeScript or JavaScript.
It is generated with Stainless.
[!IMPORTANT]
The latest version of the TypeScript SDK (v0.10) contains several breaking changes.
Consult UPGRADING.md for details.
Documentation
The HTTP API documentation can be found at turbopuffer.com/docs.
Installation
npm install @turbopuffer/turbopuffer
Usage
import Turbopuffer from '@turbopuffer/turbopuffer';
const tpuf = new Turbopuffer({
apiKey: process.env['TURBOPUFFER_API_KEY'],
});
const ns = tpuf.namespace("example");
const vectorResult = await ns.query({
rank_by: ["vector", "ANN", [0.1, 0.2]],
top_k: 10,
filters: [
"And",
[
["name", "Eq", "foo"],
["public", "Eq", 1],
],
],
include_attributes: ["name"],
});
console.log(vectorResult.rows);
const ftsResult = await ns.query({
top_k: 10,
filters: ["name", "Eq", "foo"],
rank_by: ["text", "BM25", "quick walrus"],
});
console.log(ftsResult.rows);
Request & Response types
This library includes TypeScript definitions for all request params and response fields. You may import and use them like so:
import Turbopuffer from '@turbopuffer/turbopuffer';
const client = new Turbopuffer({
apiKey: process.env['TURBOPUFFER_API_KEY'],
});
const params: Turbopuffer.NamespacesParams = { prefix: 'foo' };
const [namespaceSummary]: [Turbopuffer.NamespaceSummary] = await client.namespaces(params);
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:
const namespaces = await client.namespaces({ prefix: 'foo' }).catch(async (err) => {
if (err instanceof Turbopuffer.APIError) {
console.log(err.status);
console.log(err.name);
console.log(err.headers);
} else {
throw err;
}
});
Error codes are as follows:
| 400 | BadRequestError |
| 401 | AuthenticationError |
| 403 | PermissionDeniedError |
| 404 | NotFoundError |
| 422 | UnprocessableEntityError |
| 429 | RateLimitError |
| >=500 | InternalServerError |
| N/A | APIConnectionError |
Retries
Certain errors will be automatically retried 4 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:
const client = new Turbopuffer({
maxRetries: 0,
});
await client.namespaces({ prefix: 'foo' }, {
maxRetries: 5,
});
Timeouts
Requests time out after 1 minute by default. You can configure this with a timeout option:
const client = new Turbopuffer({
timeout: 20 * 1000,
});
await client.namespaces({ prefix: 'foo' }, {
timeout: 5 * 1000,
});
On timeout, an APIConnectionTimeoutError is thrown.
Note that requests which time out will be retried twice by default.
List methods in the Turbopuffer API are paginated.
You can use the for await … of syntax to iterate through items across all pages:
async function fetchAllNamespaceSummaries(params) {
const allNamespaceSummaries = [];
for await (const namespaceSummary of client.namespaces({ prefix: 'products' })) {
allNamespaceSummaries.push(namespaceSummary);
}
return allNamespaceSummaries;
}
Alternatively, you can request a single page at a time:
let page = await client.namespaces({ prefix: 'products' });
for (const namespaceSummary of page.namespaces) {
console.log(namespaceSummary);
}
while (page.hasNextPage()) {
page = await page.getNextPage();
}
Advanced Usage
The "raw" Response returned by fetch() can be accessed through the .asResponse() method on the APIPromise type that all methods return.
This method returns as soon as the headers for a successful response are received and does not consume the response body, so you are free to write custom parsing or streaming logic.
You can also use the .withResponse() method to get the raw Response along with the parsed data.
Unlike .asResponse() this method consumes the body, returning once it is parsed.
const client = new Turbopuffer();
const response = await client.namespaces({ prefix: 'foo' }).asResponse();
console.log(response.headers.get('X-My-Header'));
console.log(response.statusText);
const { data: namespaces, response: raw } = await client.namespaces({ prefix: 'foo' }).withResponse();
console.log(raw.headers.get('X-My-Header'));
for await (const namespaceSummary of namespaces) {
console.log(namespaceSummary.id);
}
Logging
[!IMPORTANT]
All log messages are intended for debugging only. The format and content of log messages
may change between releases.
Log levels
The log level can be configured in two ways:
- Via the
TURBOPUFFER_LOG environment variable
- Using the
logLevel client option (overrides the environment variable if set)
import Turbopuffer from '@turbopuffer/turbopuffer';
const client = new Turbopuffer({
logLevel: 'debug',
});
Available log levels, from most to least verbose:
'debug' - Show debug messages, info, warnings, and errors
'info' - Show info messages, warnings, and errors
'warn' - Show warnings and errors (default)
'error' - Show only errors
'off' - Disable all logging
At the 'debug' level, all HTTP requests and responses are logged, including headers and bodies.
Some authentication-related headers are redacted, but sensitive data in request and response bodies
may still be visible.
Custom logger
By default, this library logs to globalThis.console. You can also provide a custom logger.
Most logging libraries are supported, including pino, winston, bunyan, consola, signale, and @std/log. If your logger doesn't work, please open an issue.
When providing a custom logger, the logLevel option still controls which messages are emitted, messages
below the configured level will not be sent to your logger.
import Turbopuffer from '@turbopuffer/turbopuffer';
import pino from 'pino';
const logger = pino();
const client = new Turbopuffer({
logger: logger.child({ name: 'Turbopuffer' }),
logLevel: 'debug',
});
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.
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.
client.namespaces.write({
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 expects a global fetch function is defined.
If you want to use a different fetch function, you can either polyfill the global:
import fetch from 'my-fetch';
globalThis.fetch = fetch;
Or pass it to the client:
import Turbopuffer from '@turbopuffer/turbopuffer';
import fetch from 'my-fetch';
const client = new Turbopuffer({ fetch });
Fetch options
If you want to set custom fetch options without overriding the fetch function, you can provide a fetchOptions object when instantiating the client or making a request. (Request-specific options override client options.)
import Turbopuffer from '@turbopuffer/turbopuffer';
const client = new Turbopuffer({
fetchOptions: {
},
});
Configuring proxies
To modify proxy behavior, you can provide custom fetchOptions that add runtime-specific proxy
options to requests:
Node [docs]
import Turbopuffer from '@turbopuffer/turbopuffer';
import * as undici from 'undici';
const proxyAgent = new undici.ProxyAgent('http://localhost:8888');
const client = new Turbopuffer({
fetchOptions: {
dispatcher: proxyAgent,
},
});
Bun [docs]
import Turbopuffer from '@turbopuffer/turbopuffer';
const client = new Turbopuffer({
fetchOptions: {
proxy: 'http://localhost:8888',
},
});
Deno [docs]
import Turbopuffer from 'npm:@turbopuffer/turbopuffer';
const httpClient = Deno.createHttpClient({ proxy: { url: 'http://localhost:8888' } });
const client = new Turbopuffer({
fetchOptions: {
client: httpClient,
},
});
Frequently Asked Questions
Semantic versioning
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.
Requirements
TypeScript >= 4.9 is supported.
The following runtimes are supported:
- Web browsers (Up-to-date Chrome, Firefox, Safari, Edge, and more)
- Node.js 20 LTS or later (non-EOL) versions.
- Deno v1.28.0 or higher.
- Bun 1.0 or later.
- Cloudflare Workers.
- Vercel Edge Runtime.
- Jest 28 or greater with the
"node" environment
- 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.
Contributing
See the contributing documentation.