A Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform. This package provides programmatic interaction with UiPath Cloud Platform services and human-in-the-loop (HITL) semantics through Action Center integration.

This package is an extension to the UiPath Python SDK.

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

Check out these sample projects to see the SDK in action.

• Python 3.10 or higher
• UiPath Automation Cloud account

pip install uipath-langchain

using uv:

uv add uipath-langchain

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

The SDK provides a command-line interface for creating, packaging, and deploying LangGraph Agents:

uipath init [GRAPH]

Creates a uipath.json configuration file for your project. If [GRAPH] is omitted, it will create an entrypoint for each graph specified in the langgraph.json file.

uipath auth

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

uipath run GRAPH [INPUT]

Executes the agent with the provided JSON input arguments.

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 = "[email protected]"}]

uipath publish

Publishes the most recently created package to your UiPath Orchestrator.

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

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

Please read our contribution guidelines before submitting a pull request.