Validate Extraction Schema
client.extract.validateSchema(ExtractValidateSchemaParams { data_schema } body, RequestOptionsoptions?): ExtractV2SchemaValidateResponse { data_schema }
POST/api/v2/extract/schema/validation
Validate Extraction Schema
import LlamaCloud from '@llamaindex/llama-cloud';
const client = new LlamaCloud({
apiKey: process.env['LLAMA_CLOUD_API_KEY'], // This is the default and can be omitted
});
const extractV2SchemaValidateResponse = await client.extract.validateSchema({
data_schema: { foo: { foo: 'bar' } },
});
console.log(extractV2SchemaValidateResponse.data_schema);{
"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/