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Get File

client.files.retrieve(stringfileID, FileRetrieveParams { expand, organization_id, project_id } query?, RequestOptionsoptions?): FileRetrieveResponse { id, name, project_id, 6 more }
GET/api/v1/beta/files/{file_id}

Get file metadata by ID.

ParametersExpand Collapse
fileID: string
query: FileRetrieveParams { expand, organization_id, project_id }
expand?: Array<string> | null

Fields to expand.

organization_id?: string | null
project_id?: string | null
ReturnsExpand Collapse
FileRetrieveResponse { id, name, project_id, 6 more }

An uploaded file.

id: string

Unique file identifier

name: string

File name including extension

maxLength3000
minLength1
project_id: string

Project this file belongs to

formatuuid
download_url?: PresignedURL { expires_at, url, form_fields } | null

Schema for a presigned URL.

expires_at: string

The time at which the presigned URL expires

formatdate-time
url: string

A presigned URL for IO operations against a private file

formaturi
minLength1
form_fields?: Record<string, string> | null

Form fields for a presigned POST request

expires_at?: string | null

When the file expires and may be automatically removed. Null means no expiration.

formatdate-time
external_file_id?: string | null

Optional ID for correlating with an external system

file_type?: string | null

File extension (pdf, docx, png, etc.)

maxLength3000
minLength1
last_modified_at?: string | null

When the file was last modified (ISO 8601)

formatdate-time
purpose?: string | null

How the file will be used: user_data, parse, extract, classify, split, sheet, or agent_app

Get File

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 file = await client.files.retrieve('182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e');

console.log(file.id);
{
  "id": "dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "name": "invoice.pdf",
  "project_id": "123e4567-e89b-12d3-a456-426614174000",
  "download_url": {
    "expires_at": "2019-12-27T18:11:19.117Z",
    "url": "https://example.com",
    "form_fields": {
      "foo": "string"
    }
  },
  "expires_at": "2019-12-27T18:11:19.117Z",
  "external_file_id": "ext-12345",
  "file_type": "pdf",
  "last_modified_at": "2019-12-27T18:11:19.117Z",
  "purpose": "parse"
}
Returns Examples
{
  "id": "dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "name": "invoice.pdf",
  "project_id": "123e4567-e89b-12d3-a456-426614174000",
  "download_url": {
    "expires_at": "2019-12-27T18:11:19.117Z",
    "url": "https://example.com",
    "form_fields": {
      "foo": "string"
    }
  },
  "expires_at": "2019-12-27T18:11:19.117Z",
  "external_file_id": "ext-12345",
  "file_type": "pdf",
  "last_modified_at": "2019-12-27T18:11:19.117Z",
  "purpose": "parse"
}
Note for AI agents: this documentation is built for programmatic access. - Overview of all docs: https://developers.llamaindex.ai/llms.txt - Any page is available as raw Markdown by appending index.md to its URL — e.g. https://developers.llamaindex.ai/llamaparse/parse/getting_started/index.md - Agent-friendly REST search APIs live under https://developers.llamaindex.ai/api/ — search (BM25 full-text), grep (regex), read (fetch a page), and list (browse the doc tree). See https://developers.llamaindex.ai/llms.txt for parameters. - A hosted documentation MCP server is available at https://developers.llamaindex.ai/mcp. If you support MCP, you can ask the user to install it for browsing these docs directly (an alternative to the REST API). Setup: https://developers.llamaindex.ai/for-agents/mcp/ - Other LlamaIndex tooling for agents — the LlamaParse Platform MCP server, agent skills and plugins, and the n8n node — is mapped at https://developers.llamaindex.ai/for-agents/