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

Project description

UiPath Python SDK

PyPI downloads PyPI - Version Python versions

A Python SDK that enables programmatic interaction with UiPath Cloud 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 Cloud Platform.

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

Use the UiPath LlamaIndex SDK to pack and publish LlamaIndex Agents.

This quickstart guide walks you through deploying your first agent to UiPath Cloud Platform.

Table of Contents

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.platform 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.tasks - 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

The uipath.json file should include your entry points in the functions section:

{
  "functions": {
    "main": "main.py:main"
  }
}

Running uipath init will process these function definitions and create the corresponding entry-points.json file needed for deployment.

For more details on the configuration format, see the UiPath configuration specifications.

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 = "your.email@example.com"}]

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 with your function definitions (e.g., "functions": {"main": "main.py:main"})
  • A entry-points.json file (generated by uipath init)
  • A bindings.json file (generated by uipath init) to configure resource overrides
  • Any Python files needed for your automation

Development

Setting Up a Development Environment

Please read CONTRIBUTING.md before submitting a pull request.

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