Validate Extraction Schema
$ llamacloud-prod extract validate-schema
POST/api/v2/extract/schema/validation
Validate Extraction Schema
llamacloud-prod extract validate-schema \
--api-key 'My API Key' \
--data-schema '{properties: {vendor_name: bar, invoice_number: bar, total_amount: bar, line_items: bar}, required: [vendor_name, invoice_number, total_amount], type: object}'{
"data_schema": {
"foo": {
"foo": "bar"
}
}
}Returns Examples
{
"data_schema": {
"foo": {
"foo": "bar"
}
}
}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/