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Delete Agent Data By Query

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

Bulk delete agent data by query (deployment_name, collection, optional filters).

Query ParametersExpand Collapse
organization_id: optional string
project_id: optional string
Cookie ParametersExpand Collapse
session: optional string
Body ParametersJSONExpand Collapse
deployment_name: string

The agent deployment’s name to delete data for

collection: optional string

The logical agent data collection to delete from

filter: optional map[object { eq, excludes, gt, 5 more } ]

Optional filters to select which items to delete

eq: optional number or string or string
One of the following:
number
string
string
excludes: optional array of number or string or string
One of the following:
number
string
string
gt: optional number or string or string
One of the following:
number
string
string
gte: optional number or string or string
One of the following:
number
string
string
includes: optional array of number or string or string
One of the following:
number
string
string
lt: optional number or string or string
One of the following:
number
string
string
lte: optional number or string or string
One of the following:
number
string
string
ne: optional number or string or string
One of the following:
number
string
string
ReturnsExpand Collapse
deleted_count: number

Delete Agent Data By Query

curl https://api.cloud.llamaindex.ai/api/v1/beta/agent-data/:delete \
    -H 'Content-Type: application/json' \
    -H "Authorization: Bearer $LLAMA_CLOUD_API_KEY" \
    -d '{
          "deployment_name": "deployment_name"
        }'
{
  "deleted_count": 0
}
Returns Examples
{
  "deleted_count": 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/