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List Split Jobs

beta.split.list(SplitListParams**kwargs) -> SyncPaginatedCursor[SplitListResponse]
GET/api/v1/beta/split/jobs

List document split jobs. Experimental: This endpoint is not yet ready for production use and is subject to change at any time.

ParametersExpand Collapse
organization_id: Optional[str]
page_size: Optional[int]
page_token: Optional[str]
project_id: Optional[str]
ReturnsExpand Collapse
class SplitListResponse:

A document split job.

id: str

Unique identifier for the split job.

categories: List[SplitCategory]

Categories used for splitting.

name: str

Name of the category.

maxLength200
minLength1
description: Optional[str]

Optional description of what content belongs in this category.

maxLength2000
minLength1
document_input: SplitDocumentInput

Document that was split.

type: str

Type of document input. Valid values are: file_id

value: str

Document identifier.

project_id: str

Project ID this job belongs to.

status: str

Current status of the job. Valid values are: pending, processing, completed, failed.

user_id: str

User ID who created this job.

created_at: Optional[datetime]

Creation datetime

formatdate-time
error_message: Optional[str]

Error message if the job failed.

result: Optional[SplitResultResponse]

Result of a completed split job.

segments: List[SplitSegmentResponse]

List of document segments.

category: str

Category name this split belongs to.

confidence_category: str

Categorical confidence level. Valid values are: high, medium, low.

pages: List[int]

1-indexed page numbers in this split.

updated_at: Optional[datetime]

Update datetime

formatdate-time

List Split Jobs

import os
from llama_cloud import LlamaCloud

client = LlamaCloud(
    api_key=os.environ.get("LLAMA_CLOUD_API_KEY"),  # This is the default and can be omitted
)
page = client.beta.split.list()
page = page.items[0]
print(page.id)
{
  "items": [
    {
      "id": "id",
      "categories": [
        {
          "name": "x",
          "description": "x"
        }
      ],
      "document_input": {
        "type": "type",
        "value": "value"
      },
      "project_id": "project_id",
      "status": "status",
      "user_id": "user_id",
      "created_at": "2019-12-27T18:11:19.117Z",
      "error_message": "error_message",
      "result": {
        "segments": [
          {
            "category": "category",
            "confidence_category": "confidence_category",
            "pages": [
              0
            ]
          }
        ]
      },
      "updated_at": "2019-12-27T18:11:19.117Z"
    }
  ],
  "next_page_token": "next_page_token",
  "total_size": 0
}
Returns Examples
{
  "items": [
    {
      "id": "id",
      "categories": [
        {
          "name": "x",
          "description": "x"
        }
      ],
      "document_input": {
        "type": "type",
        "value": "value"
      },
      "project_id": "project_id",
      "status": "status",
      "user_id": "user_id",
      "created_at": "2019-12-27T18:11:19.117Z",
      "error_message": "error_message",
      "result": {
        "segments": [
          {
            "category": "category",
            "confidence_category": "confidence_category",
            "pages": [
              0
            ]
          }
        ]
      },
      "updated_at": "2019-12-27T18:11:19.117Z"
    }
  ],
  "next_page_token": "next_page_token",
  "total_size": 0
}