The pages to target for parsing (0-indexed, so first page is at 0)
updated_at: Optional[datetime]
Update datetime
formatdate-time
class ClassifyParsingConfiguration: …
Parsing configuration for a classify job.
lang: Optional[ParsingLanguages]
The language to parse the files in
One of the following:
"af"
"az"
"bs"
"cs"
"cy"
"da"
"de"
"en"
"es"
"et"
"fr"
"ga"
"hr"
"hu"
"id"
"is"
"it"
"ku"
"la"
"lt"
"lv"
"mi"
"ms"
"mt"
"nl"
"no"
"oc"
"pi"
"pl"
"pt"
"ro"
"rs_latin"
"sk"
"sl"
"sq"
"sv"
"sw"
"tl"
"tr"
"uz"
"vi"
"ar"
"fa"
"ug"
"ur"
"bn"
"as"
"mni"
"ru"
"rs_cyrillic"
"be"
"bg"
"uk"
"mn"
"abq"
"ady"
"kbd"
"ava"
"dar"
"inh"
"che"
"lbe"
"lez"
"tab"
"tjk"
"hi"
"mr"
"ne"
"bh"
"mai"
"ang"
"bho"
"mah"
"sck"
"new"
"gom"
"sa"
"bgc"
"th"
"ch_sim"
"ch_tra"
"ja"
"ko"
"ta"
"te"
"kn"
max_pages: Optional[int]
The maximum number of pages to parse
target_pages: Optional[List[int]]
The pages to target for parsing (0-indexed, so first page is at 0)
class JobGetResultsResponse: …
Response model for the classify endpoint following AIP-132 pagination standard.
items: List[Item]
The list of items.
id: str
Unique identifier
formatuuid
classify_job_id: str
The ID of the classify job
formatuuid
created_at: Optional[datetime]
Creation datetime
formatdate-time
file_id: Optional[str]
The ID of the classified file
formatuuid
result: Optional[ItemResult]
Result of classifying a single file.
confidence: float
Confidence score of the classification (0.0-1.0)
maximum1
minimum0
reasoning: str
Step-by-step explanation of why this classification was chosen and the confidence score assigned
type: Optional[str]
The document type that best matches, or null if no match.
updated_at: Optional[datetime]
Update datetime
formatdate-time
next_page_token: Optional[str]
A token, which can be sent as page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.
total_size: Optional[int]
The total number of items available. This is only populated when specifically requested. The value may be an estimate and can be used for display purposes only.
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/