API Reference

Split

Copy Markdown

Open in Claude

Open in ChatGPT

Open in Cursor

---

Copy Markdown

View as Markdown

Create Split Job

split.create(SplitCreateParams**kwargs) -> SplitCreateResponse

POST/api/v1/split/jobs

Create a document split job.

ParametersExpand Collapse

file_input: str

File ID or parse job ID

organization_id: Optional[str]

project_id: Optional[str]

configuration: Optional[Configuration]

Split configuration with categories and splitting strategy.

categories: Iterable[SplitCategoryParam]

Categories to split documents into.

name: str

Name of the category.

maxLength200

minLength1

description: Optional[str]

Optional description of what content belongs in this category.

maxLength2000

minLength1

splitting_strategy: Optional[ConfigurationSplittingStrategy]

Strategy for splitting documents.

allow_uncategorized: Optional[Literal["forbid", "include", "omit"]]

Controls handling of pages that don’t match any category. ‘include’: pages can be grouped as ‘uncategorized’ and included in results. ‘forbid’: all pages must be assigned to a defined category. ‘omit’: pages can be classified as ‘uncategorized’ but are excluded from results.

One of the following:

"forbid"

"include"

"omit"

custom_instructions: Optional[str]

Free-form guidance for where segment boundaries are placed.

maxLength5000

min_pages_per_split: Optional[int]

Minimum pages per segment. Shorter segments are merged into an adjacent segment; 1 disables merging.

minimum1

configuration_id: Optional[str]

Saved configuration ID

transaction_id: Optional[str]

Idempotency key scoped to the project. Reusing a key returns the original job; the new request body is ignored.

maxLength255

webhook_configuration_ids: Optional[Sequence[str]]

IDs of saved webhook configurations to notify for this job.

webhook_configurations: Optional[Iterable[WebhookConfiguration]]

Outbound webhook endpoints to notify on job status changes

webhook_events: Optional[List[Literal["batch.cancelled", "batch.error", "batch.pending", 30 more]]]

Events to subscribe to (e.g. ‘parse.success’, ‘extract.error’). If null, all events are delivered.

One of the following:

"batch.cancelled"

"batch.error"

"batch.pending"

"batch.running"

"batch.success"

"classify.cancelled"

"classify.error"

"classify.partial_success"

"classify.pending"

"classify.running"

"classify.success"

"extract.cancelled"

"extract.error"

"extract.partial_success"

"extract.pending"

"extract.success"

"parse.cancelled"

"parse.error"

"parse.partial_success"

"parse.pending"

"parse.running"

"parse.success"

"sheets.cancelled"

"sheets.error"

"sheets.partial_success"

"sheets.pending"

"sheets.success"

"split.cancelled"

"split.error"

"split.pending"

"split.processing"

"split.success"

"unmapped_event"

webhook_headers: Optional[Dict[str, str]]

Custom HTTP headers sent with each webhook request (e.g. auth tokens)

webhook_output_format: Optional[str]

Response format sent to the webhook: ‘string’ (default) or ‘json’

webhook_signing_secret: Optional[str]

Shared signing secret used to sign webhook deliveries. When set, each request includes an HMAC-SHA256 signature of the request body in the ‘LC-Signature’ header (value ‘sha256=’). Recompute the HMAC over the raw request body with this secret to verify the delivery is authentic.

webhook_url: Optional[str]

URL to receive webhook POST notifications

ReturnsExpand Collapse

class SplitCreateResponse: …

A 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_type: Literal["file_id", "parse_job_id", "url"]

Whether the input was a file or parse job

One of the following:

"file_id"

"parse_job_id"

"url"

file_input: str

File ID or parse job ID

project_id: str

Project this job belongs to.

status: str

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

user_id: str

User who created this job.

configuration_id: Optional[str]

Split configuration ID used for 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.

splitting_strategy: Optional[SplittingStrategy]

Strategy used for splitting.

allow_uncategorized: Optional[Literal["forbid", "include", "omit"]]

Controls handling of pages that don’t match any category. ‘include’: pages can be grouped as ‘uncategorized’ and included in results. ‘forbid’: all pages must be assigned to a defined category. ‘omit’: pages can be classified as ‘uncategorized’ but are excluded from results.

One of the following:

"forbid"

"include"

"omit"

custom_instructions: Optional[str]

Free-form guidance for where segment boundaries are placed.

maxLength5000

min_pages_per_split: Optional[int]

Minimum pages per segment. Shorter segments are merged into an adjacent segment; 1 disables merging.

minimum1

transaction_id: Optional[str]

Idempotency key scoped to the project, if one was provided.

updated_at: Optional[datetime]

Update datetime

formatdate-time

Create Split Job

Python

HTTP

TypeScript

Python

Go

Java

C#

CLI Tool

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
)
split = client.split.create(
    file_input="dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
)
print(split.id)

200 example

{
  "id": "id",
  "categories": [
    {
      "name": "x",
      "description": "x"
    }
  ],
  "document_input_type": "file_id",
  "file_input": "dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "project_id": "project_id",
  "status": "status",
  "user_id": "user_id",
  "configuration_id": "configuration_id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "error_message": "error_message",
  "result": {
    "segments": [
      {
        "category": "category",
        "confidence_category": "confidence_category",
        "pages": [
          0
        ]
      }
    ]
  },
  "splitting_strategy": {
    "allow_uncategorized": "forbid",
    "custom_instructions": "Start a new segment at every signature page.",
    "min_pages_per_split": 1
  },
  "transaction_id": "transaction_id",
  "updated_at": "2019-12-27T18:11:19.117Z"
}

Returns Examples

200 example

{
  "id": "id",
  "categories": [
    {
      "name": "x",
      "description": "x"
    }
  ],
  "document_input_type": "file_id",
  "file_input": "dfl-aaaaaaaa-bbbb-cccc-dddd-eeeeeeeeeeee",
  "project_id": "project_id",
  "status": "status",
  "user_id": "user_id",
  "configuration_id": "configuration_id",
  "created_at": "2019-12-27T18:11:19.117Z",
  "error_message": "error_message",
  "result": {
    "segments": [
      {
        "category": "category",
        "confidence_category": "confidence_category",
        "pages": [
          0
        ]
      }
    ]
  },
  "splitting_strategy": {
    "allow_uncategorized": "forbid",
    "custom_instructions": "Start a new segment at every signature page.",
    "min_pages_per_split": 1
  },
  "transaction_id": "transaction_id",
  "updated_at": "2019-12-27T18:11:19.117Z"
}