ExtractWithSchemaLlmExtractRequestBody
The extraction request parameters
Example Usage
typescript
import { ExtractWithSchemaLlmExtractRequestBody } from "@meetkai/mka1/models/operations";
let value: ExtractWithSchemaLlmExtractRequestBody = {
model: "Civic",
file: "<value>",
};Fields
| Field | Type | Required | Description |
|---|---|---|---|
model | string | ✔️ | ID of the model to use for extraction. You can use provider:model format or just the model name with a default provider. Vision-capable models are recommended for processing images and PDFs. |
file | string | ✔️ | The file to extract structured data from. Supports various formats including images and documents. The file content will be analyzed by the model according to the referenced extraction schema. |
prompt | string | ➖ | Optional custom system prompt to guide the extraction process. Use this to provide specific instructions about how to interpret the file or handle edge cases. |