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Get Agent Data

AgentData beta().agentData().get(AgentDataGetParamsparams = AgentDataGetParams.none(), RequestOptionsrequestOptions = RequestOptions.none())
GET/api/v1/beta/agent-data/{item_id}

Get agent data by ID.

ParametersExpand Collapse
AgentDataGetParams params
Optional<String> itemId
Optional<String> organizationId
Optional<String> projectId
ReturnsExpand Collapse
class AgentData:

API Result for a single agent data item

Data data
String deploymentName
Optional<String> id
Optional<String> collection
Optional<LocalDateTime> createdAt
Optional<String> projectId
Optional<LocalDateTime> updatedAt

Get Agent Data

package com.llamacloud_prod.api.example;

import com.llamacloud_prod.api.client.LlamaCloudClient;
import com.llamacloud_prod.api.client.okhttp.LlamaCloudOkHttpClient;
import com.llamacloud_prod.api.models.beta.agentdata.AgentData;
import com.llamacloud_prod.api.models.beta.agentdata.AgentDataGetParams;

public final class Main {
    private Main() {}

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

        AgentData agentData = client.beta().agentData().get("item_id");
    }
}
{
  "data": {
    "foo": "bar"
  },
  "deployment_name": "deployment_name",
  "id": "id",
  "collection": "collection",
  "created_at": "2019-12-27T18:11:19.117Z",
  "project_id": "project_id",
  "updated_at": "2019-12-27T18:11:19.117Z"
}
Returns Examples
{
  "data": {
    "foo": "bar"
  },
  "deployment_name": "deployment_name",
  "id": "id",
  "collection": "collection",
  "created_at": "2019-12-27T18:11:19.117Z",
  "project_id": "project_id",
  "updated_at": "2019-12-27T18:11:19.117Z"
}
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/