Agent Data
Get Agent Data
client.beta.agentData.get(stringitemID, AgentDataGetParams { organization_id, project_id } query?, RequestOptionsoptions?): AgentData { data, deployment_name, id, 4 more }
GET/api/v1/beta/agent-data/{item_id}
Update Agent Data
client.beta.agentData.update(stringitemID, AgentDataUpdateParams { data, organization_id, project_id } params, RequestOptionsoptions?): AgentData { data, deployment_name, id, 4 more }
PUT/api/v1/beta/agent-data/{item_id}
Delete Agent Data
client.beta.agentData.delete(stringitemID, AgentDataDeleteParams { organization_id, project_id } params?, RequestOptionsoptions?): AgentDataDeleteResponse
DELETE/api/v1/beta/agent-data/{item_id}
Create Agent Data
client.beta.agentData.create(AgentDataCreateParams { data, deployment_name, organization_id, 2 more } params, RequestOptionsoptions?): AgentData { data, deployment_name, id, 4 more }
POST/api/v1/beta/agent-data
Search Agent Data
client.beta.agentData.search(AgentDataSearchParams { deployment_name, organization_id, project_id, 7 more } params, RequestOptionsoptions?): PaginatedCursorPost<AgentData { data, deployment_name, id, 4 more } >
POST/api/v1/beta/agent-data/:search
Aggregate Agent Data
client.beta.agentData.aggregate(AgentDataAggregateParams { deployment_name, organization_id, project_id, 9 more } params, RequestOptionsoptions?): PaginatedCursorPost<AgentDataAggregateResponse { group_key, count, first_item } >
POST/api/v1/beta/agent-data/:aggregate
Delete Agent Data By Query
client.beta.agentData.deleteByQuery(AgentDataDeleteByQueryParams { deployment_name, organization_id, project_id, 2 more } params, RequestOptionsoptions?): AgentDataDeleteByQueryResponse { deleted_count }
POST/api/v1/beta/agent-data/:delete
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/