Implementation:Ucbepic Docetl Pip Install Docetl

Knowledge Sources	DocETL DocETL Docs
Domains	DevOps, Environment_Setup
Last Updated	2026-02-08 01:40 GMT

Overview

Concrete installation commands for the DocETL Python package and its optional extras.

Description

DocETL is distributed as a Python package installable via pip. The core package includes litellm, pydantic, pandas, rich, diskcache, pyrate-limiter, and tiktoken. Optional extras add file parsing (docling, pdfplumber, python-docx) or server capabilities (fastapi, uvicorn).

Usage

Install DocETL before using the CLI (docetl run, docetl build) or the Python API (from docetl import Pipeline). Set LLM API keys as environment variables.

Code Reference

Source Location

• Repository: docetl
• File: pyproject.toml
• Lines: L1-151

Signature

# Core installation
pip install docetl

# With file parsing support
pip install "docetl[parsing]"

# With playground server
pip install "docetl[server]"

Import

from docetl import Pipeline, Dataset, MapOp, ReduceOp, PipelineStep, PipelineOutput

I/O Contract

Inputs

Name	Type	Required	Description
Python environment	Python 3.10+	Yes	Compatible Python runtime
OPENAI_API_KEY	env var	Conditional	Required if using OpenAI models
ANTHROPIC_API_KEY	env var	Conditional	Required if using Anthropic models

Outputs

Name	Type	Description
docetl package	Python package	Installed CLI and Python API
docetl CLI	executable	Commands: docetl run, docetl build, docetl clear-cache

Usage Examples

# Install and configure
pip install docetl
export OPENAI_API_KEY="sk-..."

# Verify installation
docetl --help

# Run a pipeline
docetl run pipeline.yaml

Related Pages

Implements Principle

• Principle:Ucbepic_Docetl_Package_Installation

Requires Environment

• Environment:Ucbepic_Docetl_Python_Runtime