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List Attachments

AttachmentListPage beta().attachments().list(AttachmentListParamsparams, RequestOptionsrequestOptions = RequestOptions.none())
GET/api/v1/beta/attachments

List the attachments associated with a file (e.g. per-page screenshots).

ParametersExpand Collapse
AttachmentListParams params
String sourceId

File UUID or directory file ID (dfl-…).

Optional<String> organizationId
Optional<Long> pageSize
Optional<String> pageToken
Optional<String> projectId
ReturnsExpand Collapse
class AttachmentListResponse:

Metadata for a single file attachment.

String name

Name of the attachment

long size

Size of the attachment in bytes

minimum0
Optional<LocalDateTime> lastModified

When the attachment was last modified

formatdate-time

List Attachments

package ai.llamaindex.llamacloud.example;

import ai.llamaindex.llamacloud.client.LlamaCloudClient;
import ai.llamaindex.llamacloud.client.okhttp.LlamaCloudOkHttpClient;
import ai.llamaindex.llamacloud.models.beta.attachments.AttachmentListPage;
import ai.llamaindex.llamacloud.models.beta.attachments.AttachmentListParams;

public final class Main {
    private Main() {}

    public static void main(String[] args) {
        LlamaCloudClient client = LlamaCloudOkHttpClient.fromEnv();

        AttachmentListParams params = AttachmentListParams.builder()
            .sourceId("source_id")
            .build();
        AttachmentListPage page = client.beta().attachments().list(params);
    }
}
{
  "items": [
    {
      "name": "name",
      "size": 0,
      "last_modified": "2019-12-27T18:11:19.117Z"
    }
  ],
  "next_page_token": "next_page_token",
  "total_size": 0
}
Returns Examples
{
  "items": [
    {
      "name": "name",
      "size": 0,
      "last_modified": "2019-12-27T18:11:19.117Z"
    }
  ],
  "next_page_token": "next_page_token",
  "total_size": 0
}
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/