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Agent Data

Get Agent Data
beta.agent_data.get(stritem_id, AgentDataGetParams**kwargs) -> AgentData
GET/api/v1/beta/agent-data/{item_id}
Update Agent Data
beta.agent_data.update(stritem_id, AgentDataUpdateParams**kwargs) -> AgentData
PUT/api/v1/beta/agent-data/{item_id}
Delete Agent Data
beta.agent_data.delete(stritem_id, AgentDataDeleteParams**kwargs) -> AgentDataDeleteResponse
DELETE/api/v1/beta/agent-data/{item_id}
Create Agent Data
beta.agent_data.create(AgentDataCreateParams**kwargs) -> AgentData
POST/api/v1/beta/agent-data
Search Agent Data
beta.agent_data.search(AgentDataSearchParams**kwargs) -> SyncPaginatedCursorPost[AgentData]
POST/api/v1/beta/agent-data/:search
Aggregate Agent Data
beta.agent_data.aggregate(AgentDataAggregateParams**kwargs) -> SyncPaginatedCursorPost[AgentDataAggregateResponse]
POST/api/v1/beta/agent-data/:aggregate
Delete Agent Data By Query
beta.agent_data.delete_by_query(AgentDataDeleteByQueryParams**kwargs) -> AgentDataDeleteByQueryResponse
POST/api/v1/beta/agent-data/:delete
ModelsExpand Collapse
class AgentData:

API Result for a single agent data item

data: Dict[str, object]
deployment_name: str
id: Optional[str]
collection: Optional[str]
created_at: Optional[datetime]
project_id: Optional[str]
updated_at: Optional[datetime]
Dict[str, str]
class AgentDataAggregateResponse:

API Result for a single group in the aggregate response

group_key: Dict[str, object]
count: Optional[int]
first_item: Optional[Dict[str, object]]
class AgentDataDeleteByQueryResponse:

API response for bulk delete operation

deleted_count: int
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/