UiPath LangChain Python SDK
A Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform. It 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 and implements the UiPath Runtime Protocol.
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.
Requirements
- Python 3.11 or higher
- UiPath Automation Cloud account
Installation
pip install uipath-langchain
using uv:
uv add uipath-langchain
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
Command Line Interface (CLI)
The SDK provides a command-line interface for creating, packaging, and deploying LangGraph Agents:
Initialize a Project
uipath init
Running uipath init will process the graph definitions in the langgraph.json file and create the corresponding entry-points.json file needed for deployment.
For more details on the configuration format, see the UiPath configuration specifications.
Authentication
uipath auth
This command opens a browser for authentication and creates/updates your .env file with the proper credentials.
Debug a Project
uipath run GRAPH [INPUT]
Executes the agent 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.tomlfile with project metadata - A
langgraph.jsonfile with your graph definitions (e.g.,"graphs": {"agent": "graph.py:graph"}) - A
entry-points.jsonfile (generated byuipath init) - A
bindings.jsonfile (generated byuipath init) to configure resource overrides - Any Python files needed for your automation
Development
Developer Tools
Check out uipath-dev - an interactive terminal application for building, testing, and debugging UiPath Python runtimes, agents, and automation scripts.
Setting Up a Development Environment
Please read our contribution guidelines before submitting a pull request.
Special Thanks
A huge thank-you to the open-source community and the maintainers of the libraries that make this project possible:
- LangChain for providing a powerful framework for building stateful LLM applications.
- Pydantic for reliable, typed configuration and validation.
- OpenInference for observability and instrumentation support.
3 maintainers
Metadata
3 maintainers
Release files for uipath-langchain 0.18.52
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| uipath_langchain-0.18.52.tar.gz | 5.3 MB | With provenance | Details for uipath_langchain-0.18.52.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| uipath_langchain-0.18.52-py3-none-any.whl | Python 3 | none | any | Details for uipath_langchain-0.18.52-py3-none-any.whl |
Total release size: 5.8 MB
Release files / uipath_langchain-0.18.52.tar.gz
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| Tags | Source |
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| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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twine/7.0.0 CPython/3.13.14
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