uipath 2.0.19.dev10291020

Python SDK and CLI for UiPath Platform, enabling programmatic interaction with automation services, process management, and deployment tools.

UiPath Python SDK

A Python SDK that enables programmatic interaction with UiPath Platform services including processes, assets, buckets, context grounding, data services, jobs, and more. The package also features a CLI for creation, packaging, and deployment of automations to UiPath Platform.

Use the UiPath LangChain SDK to pack and publish LangGraph Agents.

Table of Contents

• Installation
• Configuration
  • Environment Variables
• Basic Usage
• Available Services
• Examples
  • Buckets Service
  • Context Grounding Service
• Command Line Interface (CLI)
  • Authentication
  • Initialize a Project
  • Debug a Project
  • Package a Project
  • Publish a Package
• Project Structure
• Development
  • Setting Up a Development Environment

Installation

pip install uipath

using uv:

uv add uipath

Configuration

Environment Variables

Create a .env file in your project root with the following variables:

UIPATH_URL=https://cloud.uipath.com/ACCOUNT_NAME/TENANT_NAME
UIPATH_ACCESS_TOKEN=YOUR_TOKEN_HERE

Basic Usage

from uipath import UiPath
# Initialize the SDK
sdk = UiPath()
# Execute a process
job = sdk.processes.invoke(
    name="MyProcess",
    input_arguments={"param1": "value1", "param2": 42}
)
# Work with assets
asset = sdk.assets.retrieve(name="MyAsset")

Available Services

The SDK provides access to various UiPath services:

• sdk.processes - Manage and execute UiPath automation processes

• sdk.assets - Work with assets (variables, credentials) stored in UiPath

• sdk.buckets - Manage cloud storage containers for automation files

• sdk.connections - Handle connections to external systems

• sdk.context_grounding - Work with semantic contexts for AI-enabled automation

• sdk.jobs - Monitor and manage automation jobs

• sdk.queues - Work with transaction queues

• sdk.actions - Work with Action Center

• sdk.api_client - Direct access to the API client for custom requests

Examples

Buckets Service

# Download a file from a bucket
sdk.buckets.download(
    bucket_key="my-bucket",
    blob_file_path="path/to/file.xlsx",
    destination_path="local/path/file.xlsx"
)

Context Grounding Service

# Search for contextual information
results = sdk.context_grounding.search(
    name="my-knowledge-index",
    query="How do I process an invoice?",
    number_of_results=5
)

Command Line Interface (CLI)

The SDK also provides a command-line interface for creating, packaging, and deploying automations:

Authentication

uipath auth

This command opens a browser for authentication and creates/updates your .env file with the proper credentials.

Initialize a Project

uipath init [ENTRYPOINT]

Creates a uipath.json configuration file for your project. If the entrypoint is not provided, it will try to find a single Python file in the current directory.

Debug a Project

uipath run ENTRYPOINT [INPUT]

Executes a Python script with the provided JSON input arguments.

Package a Project

uipath pack

Packages your project into a .nupkg file that can be deployed to UiPath.

Note: Your pyproject.toml must include:

• A description field (avoid characters: &, <, >, ", ', ;)
• Author information

Example:

description = "Your package description"
authors = [{name = "Your Name", email = "[e-mail]"}]

Publish a Package

uipath publish

Publishes the most recently created package to your UiPath Orchestrator.

Project Structure

To properly use the CLI for packaging and publishing, your project should include:

• A pyproject.toml file with project metadata
• A uipath.json file (generated by uipath init)
• Any Python files needed for your automation

Development

Setting Up a Development Environment

Please read CONTRIBUTING.md before submitting a pull request.