llama-cloud

The official Python library for the llama-cloud API

llama-cloud Permissive license MIT Active ★ 57 v2.14.0 released 2026-08-12

Install

llama-cloud on PyPI

pip

pip install llama-cloud

uv

uv add llama-cloud

poetry

poetry add llama-cloud

Package facts

License	MIT (permissive)
Python support	supports the current Python release (>=3.9)
Install friction	low — pure-Python wheel
Runtime dependencies	6 — anyio, distro, httpx, pydantic, sniffio, typing-extensions
Maintenance	actively maintained — 1 days since the last release
Last repo commit	2026-08-13
First released	2024-06-19
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: llama_cloud-2.14.0-py3-none-any.whl

Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: OS IndependentOperating System :: POSIXOperating System :: POSIX :: LinuxProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9Topic :: Software Development :: Libraries :: Python ModulesTyping :: Typed

About llama-cloud

from the package's own PyPI description — quoted content, verbatim

Llama Cloud Python SDK

PyPI version (image)

The official Python SDK for LlamaParse - the enterprise platform for agentic OCR and document processing.

With this SDK, create powerful workflows across many features:

MCP Server

Use the Llama Cloud MCP Server to enable AI assistants to interact with this API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Official Python SDK for LlamaParse, enabling enterprise-grade OCR and document parsing through the Llama Cloud API with support for file uploads, async workflows, and agentic processing.

Low friction: pure Python wheel with six lightweight runtime dependencies (anyio, distro, httpx, pydantic, sniffio, typing-extensions). Actively maintained with release 1 day old and recent commits; supports Python 3.9–3.14.

MIT license permits unrestricted use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.

Usage

pip install llama_cloud

import os
from llama_cloud import LlamaCloud

client = LlamaCloud(api_key=os.environ.get("LLAMA_CLOUD_API_KEY"))
job = client.parsing.create(tier="agentic", version="latest", file_id="your-file-id")
print(job.id)

Requires LLAMA_CLOUD_API_KEY environment variable to authenticate with the Llama Cloud API.

Verdict: A well-maintained, actively developed SDK for a commercial document-processing service. No known vulnerabilities, permissive MIT license, and low install friction make it safe to adopt. Requires API credentials and internet connectivity to function.

Needs verification

Whether the SDK's retry and timeout defaults (2 retries, 1-minute timeout) are appropriate for typical document-parsing workloads.
Performance characteristics and rate-limiting behavior under high-volume parsing scenarios.
Whether the MCP server integration requires additional setup beyond the SDK itself.

OCR document parsing SDKenterprise document processingllama parse python clientagentic OCR APIfile parsing and extractioncloud document processingPDF text extraction