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API Reference
Beta

Agent Data

Get Agent Data
GET/api/v1/beta/agent-data/{item_id}
Update Agent Data
PUT/api/v1/beta/agent-data/{item_id}
Delete Agent Data
DELETE/api/v1/beta/agent-data/{item_id}
Create Agent Data
POST/api/v1/beta/agent-data
Search Agent Data
POST/api/v1/beta/agent-data/:search
Aggregate Agent Data
POST/api/v1/beta/agent-data/:aggregate
Delete Agent Data By Query
POST/api/v1/beta/agent-data/:delete
ModelsExpand Collapse
AgentData = 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
AgentDataDeleteResponse = map[string]
AgentDataAggregateResponse = object { group_key, count, first_item }

API Result for a single group in the aggregate response

group_key: map[unknown]
count: optional number
first_item: optional map[unknown]
AgentDataDeleteByQueryResponse = object { deleted_count }

API response for bulk delete operation

deleted_count: number
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/