Agent Data

Get Agent Data

$ llamacloud-prod beta:agent-data get

GET/api/v1/beta/agent-data/{item_id}

Update Agent Data

$ llamacloud-prod beta:agent-data update

PUT/api/v1/beta/agent-data/{item_id}

Delete Agent Data

$ llamacloud-prod beta:agent-data delete

DELETE/api/v1/beta/agent-data/{item_id}

Create Agent Data

$ llamacloud-prod beta:agent-data create

POST/api/v1/beta/agent-data

Search Agent Data

$ llamacloud-prod beta:agent-data search

POST/api/v1/beta/agent-data/:search

Aggregate Agent Data

$ llamacloud-prod beta:agent-data aggregate

POST/api/v1/beta/agent-data/:aggregate

Delete Agent Data By Query

$ llamacloud-prod beta:agent-data delete-by-query

POST/api/v1/beta/agent-data/:delete

ModelsExpand Collapse

agent_data: object { data, deployment_name, id, 4 more }

API Result for a single agent data item

data: map[unknown]

deployment_name: string

id: optional string

collection: optional string

created_at: optional string

project_id: optional string

updated_at: optional string

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/