Aggregate Agent Data
beta.agent_data.aggregate(AgentDataAggregateParams**kwargs) -> SyncPaginatedCursorPost[AgentDataAggregateResponse]
POST/api/v1/beta/agent-data/:aggregate
Aggregate agent data with grouping and optional counting/first item retrieval.
Aggregate Agent Data
import os
from llama_cloud import LlamaCloud
client = LlamaCloud(
api_key=os.environ.get("LLAMA_CLOUD_API_KEY"), # This is the default and can be omitted
)
page = client.beta.agent_data.aggregate(
deployment_name="deployment_name",
)
page = page.items[0]
print(page.group_key){
"items": [
{
"group_key": {
"foo": "bar"
},
"count": 0,
"first_item": {
"foo": "bar"
}
}
],
"next_page_token": "next_page_token",
"total_size": 0
}Returns Examples
{
"items": [
{
"group_key": {
"foo": "bar"
},
"count": 0,
"first_item": {
"foo": "bar"
}
}
],
"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/python/shared/mcp/