Step-by-step explanation of why this classification was chosen and the confidence score assigned
type: string
The document type that best matches, or null if no match.
updated_at: optional string
Update datetime
formatdate-time
next_page_token: optional string
A token, which can be sent as page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.
total_size: optional number
The total number of items available. This is only populated when specifically requested. The value may be an estimate and can be used for display purposes only.
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/