Upload File
client.files.create(FileCreateParams { file, purpose, organization_id, 2 more } params, RequestOptionsoptions?): FileCreateResponse { id, name, project_id, 6 more }
POST/api/v1/beta/files
Upload a file using multipart/form-data.
Set purpose to indicate how the file will be used:
user_data, parse, extract, classify, split,
sheet, or agent_app.
Returns the created file metadata including its ID for use in subsequent parse, extract, or classify operations.
Upload 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.create({
file: fs.createReadStream('path/to/file'),
purpose: 'purpose',
});
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/python/shared/mcp/