Llama Cloud TypeScript API Library

 !npm bundle size

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

The REST API documentation can be found on developers.llamaindex.ai. The full API of this library can be found in api.md.

It is generated with Stainless.

MCP Server

Use the Llama Cloud MCP Server to enable AI assistants to interact with this API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.


> Note: You may need to set environment variables in your MCP client.

Installation

``sh
npm install @llamaindex/llama-cloud
`

Usage

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


`js
import LlamaCloud from '@llamaindex/llama-cloud';

const client = new LlamaCloud({
apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});

const parsing = await client.parsing.create({
tier: 'agentic',
version: 'latest',
file_id: 'abc1234',
});

console.log(parsing.id);
`

$3

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


`ts
import LlamaCloud from '@llamaindex/llama-cloud';

const client = new LlamaCloud({
apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});

const params: LlamaCloud.PipelineListParams = { project_id: 'my-project-id' };
const pipelines: LlamaCloud.PipelineListResponse = await client.pipelines.list(params);
`

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

File uploads

Request parameters that correspond to file uploads can be passed in many different forms:

- File (or an object with the same structure)
- a fetch Response (or an object with the same structure)
- an fs.ReadStream
- the return value of our toFile helper

`ts
import fs from 'fs';
import LlamaCloud, { toFile } from '@llamaindex/llama-cloud';

const client = new LlamaCloud();

// If you have access to Node fs we recommend using fs.createReadStream():
await client.files.create({ file: fs.createReadStream('/path/to/file'), purpose: 'purpose' });

// Or if you have the web File API you can pass a File instance:
await client.files.create({ file: new File(['my bytes'], 'file'), purpose: 'purpose' });

// You can also pass a fetch Response:
await client.files.create({ file: await fetch('https://somesite/file'), purpose: 'purpose' });

// Finally, if none of the above are convenient, you can use our toFile helper:
await client.files.create({
file: await toFile(Buffer.from('my bytes'), 'file'),
purpose: 'purpose',
});
await client.files.create({
file: await toFile(new Uint8Array([0, 1, 2]), 'file'),
purpose: 'purpose',
});
`

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
const pipelines = await client.pipelines
.list({ project_id: 'my-project-id' })
.catch(async (err) => {
if (err instanceof LlamaCloud.APIError) {
console.log(err.status); // 400
console.log(err.name); // BadRequestError
console.log(err.headers); // {server: 'nginx', ...}
} else {
throw err;
}
});
`

Error codes are as follows:

| Status Code | Error Type |
| ----------- | -------------------------- |
| 400 | BadRequestError |
| 401 | AuthenticationError |
| 403 | PermissionDeniedError |
| 404 | NotFoundError |
| 422 | UnprocessableEntityError |
| 429 | RateLimitError |
| >=500 | InternalServerError |
| N/A | APIConnectionError |

$3

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 LlamaCloud({
maxRetries: 0, // default is 2
});

// Or, configure per-request:
await client.pipelines.list({ project_id: 'my-project-id' }, {
maxRetries: 5,
});
`

$3

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 LlamaCloud({
timeout: 20 * 1000, // 20 seconds (default is 1 minute)
});

// Override per-request:
await client.pipelines.list({ project_id: 'my-project-id' }, {
timeout: 5 * 1000,
});
`

On timeout, an APIConnectionTimeoutError is thrown.

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

Auto-pagination

List methods in the LlamaCloud API are paginated.
You can use the for await … of syntax to iterate through items across all pages:

`ts
async function fetchAllExtractRuns(params) {
const allExtractRuns = [];
// Automatically fetches more pages as needed.
for await (const extractRun of client.extraction.runs.list({
extraction_agent_id: '30988414-9163-4a0b-a7e0-35dd760109d7',
limit: 20,
})) {
allExtractRuns.push(extractRun);
}
return allExtractRuns;
}
`

Alternatively, you can request a single page at a time:

`ts
let page = await client.extraction.runs.list({
extraction_agent_id: '30988414-9163-4a0b-a7e0-35dd760109d7',
limit: 20,
});
for (const extractRun of page.items) {
console.log(extractRun);
}

// Convenience methods are provided for manually paginating:
while (page.hasNextPage()) {
page = await page.getNextPage();
// ...
}
`

Advanced Usage

$3

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.


`ts
const client = new LlamaCloud();

const response = await client.pipelines.list({ project_id: 'my-project-id' }).asResponse();
console.log(response.headers.get('X-My-Header'));
console.log(response.statusText); // access the underlying Response object

const { data: pipelines, response: raw } = await client.pipelines
.list({ project_id: 'my-project-id' })
.withResponse();
console.log(raw.headers.get('X-My-Header'));
console.log(pipelines);
`

$3

> [!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:

1. Via the LLAMA_CLOUD_LOG environment variable
2. Using the logLevel client option (overrides the environment variable if set)

`ts
import LlamaCloud from '@llamaindex/llama-cloud';

const client = new LlamaCloud({
logLevel: 'debug', // Show all log messages
});
`

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.

`ts
import LlamaCloud from '@llamaindex/llama-cloud';
import pino from 'pino';

const logger = pino();

const client = new LlamaCloud({
logger: logger.child({ name: 'LlamaCloud' }),
logLevel: 'debug', // Send all messages to pino, allowing it to filter
});
`

$3

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.parsing.create({
// ...
// @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.

$3

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:

`ts
import fetch from 'my-fetch';

globalThis.fetch = fetch;
`

Or pass it to the client:

`ts
import LlamaCloud from '@llamaindex/llama-cloud';
import fetch from 'my-fetch';

const client = new LlamaCloud({ fetch });
`

$3

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.)

`ts
import LlamaCloud from '@llamaindex/llama-cloud';

const client = new LlamaCloud({
fetchOptions: {
// RequestInit options
},
});
`

#### Configuring proxies

To modify proxy behavior, you can provide custom fetchOptions that add runtime-specific proxy
options to requests:

Node [docs]

`ts
import LlamaCloud from '@llamaindex/llama-cloud';
import * as undici from 'undici';

const proxyAgent = new undici.ProxyAgent('http://localhost:8888');
const client = new LlamaCloud({
fetchOptions: {
dispatcher: proxyAgent,
},
});
`

Bun [docs]

`ts
import LlamaCloud from '@llamaindex/llama-cloud';

const client = new LlamaCloud({
fetchOptions: {
proxy: 'http://localhost:8888',
},
});
`

Deno [docs]

`ts
import LlamaCloud from 'npm:@llamaindex/llama-cloud';

const httpClient = Deno.createHttpClient({ proxy: { url: 'http://localhost:8888' } });
const client = new LlamaCloud({
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:

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 >= 4.9 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 ("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.

Contributing

See the contributing documentation.