Update Agent Data
PUT/api/v1/beta/agent-data/{item_id}
Update agent data by ID (overwrites).
Update Agent Data
curl https://api.cloud.llamaindex.ai/api/v1/beta/agent-data/$ITEM_ID \
-X PUT \
-H 'Content-Type: application/json' \
-H "Authorization: Bearer $LLAMA_CLOUD_API_KEY" \
-d '{
"data": {
"foo": "bar"
}
}'{
"data": {
"foo": "bar"
},
"deployment_name": "deployment_name",
"id": "id",
"collection": "collection",
"created_at": "2019-12-27T18:11:19.117Z",
"project_id": "project_id",
"updated_at": "2019-12-27T18:11:19.117Z"
}Returns Examples
{
"data": {
"foo": "bar"
},
"deployment_name": "deployment_name",
"id": "id",
"collection": "collection",
"created_at": "2019-12-27T18:11:19.117Z",
"project_id": "project_id",
"updated_at": "2019-12-27T18:11:19.117Z"
}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/