uipath-langchain
Python SDK that enables developers to build and deploy LangGraph agents to the UiPath Cloud Platform
Decision gist · record as of 2026-08-14
Yes, if you are building LangGraph agents and need to deploy them to UiPath Cloud Platform with human-in-the-loop capabilities. The package is actively maintained, has low install friction, and provides a complete CLI workflow from development to deployment. However, verify the license terms first (currently unclear in metadata) and be prepared for a large dependency footprint. Not recommended if you need a lightweight agent framework or are not already committed to the UiPath ecosystem.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or higher and a UiPath Automation Cloud account with valid credentials (UIPATH_URL and UIPATH_ACCESS_TOKEN environment variables).
- Low friction installation with a pure-Python wheel.
- The package is actively maintained with a recent release and active repository, though it carries 22 runtime dependencies including langchain, langgraph, and UiPath platform libraries, which may expand your dependency tree significantly.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. You should verify the actual license terms before adopting this package in a commercial or restricted-license context.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 74 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 8,846,909 downloads/mo, #1,588 on PyPI
Alternatives
Verify before relying
pip install uipath-langchain
from uipath_langchain import UiPathAgent
import os
from dotenv import load_dotenv
load_dotenv()
agent = UiPathAgent(url=os.getenv('UIPATH_URL'), token=os.getenv('UIPATH_ACCESS_TOKEN'))- Whether the package's license is compatible with your project's license requirements (currently marked unclear in metadata).
- Whether all 22 runtime dependencies are required for basic usage or if some are optional for specific features.
- Performance characteristics and scalability limits for agent deployment on UiPath Cloud Platform.
What it is and what it does
This is a Python SDK that bridges LangGraph—a framework for building stateful LLM applications—with UiPath Cloud Platform, allowing you to define agent workflows in Python and deploy them as managed automations. It implements the UiPath Runtime Protocol and provides human-in-the-loop semantics through UiPath's Action Center, meaning agents can pause execution and request human approval or input before proceeding.
The package includes a CLI for project initialization, authentication, local debugging, packaging into `.nupkg` format, and publishing to UiPath Orchestrator. It requires Python 3.11 or higher and a UiPath cloud account. The SDK depends on a large set of libraries—langchain, langgraph, pydantic, httpx, and several UiPath-specific packages—so it's best suited for teams already invested in the UiPath ecosystem or building complex agent-based automations that need cloud deployment and human oversight.
Use it for
- Deploy a LangGraph agent that handles customer inquiries with human approval for high-risk actions via Action Center.
- Build a multi-step automation workflow where an LLM agent makes decisions but escalates uncertain cases to a human reviewer.
- Integrate Python-based AI agents into existing UiPath Orchestrator deployments for hybrid RPA + AI automation.
- Debug and test LangGraph agent logic locally before packaging and publishing to UiPath Cloud Platform.
- Create a project structure with langgraph.json and pyproject.toml that UiPath CLI can package and deploy as a managed process.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building LangGraph agents and need to deploy them to UiPath Cloud Platform with human-in-the-loop capabilities.
The package is actively maintained, has low install friction, and provides a complete CLI workflow from development to deployment. However, verify the license terms first (currently unclear in metadata) and be prepared for a large dependency footprint. Not recommended if you need a lightweight agent framework or are not already committed to the UiPath ecosystem.
Install
uipath-langchain on PyPI
Before you install
Low friction installation with a pure-Python wheel. The package is actively maintained with a recent release and active repository, though it carries 22 runtime dependencies including langchain, langgraph, and UiPath platform libraries, which may expand your dependency tree significantly.
Requires Python 3.11 or higher and a UiPath Automation Cloud account with valid credentials (UIPATH_URL and UIPATH_ACCESS_TOKEN environment variables).
License in practice
License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. You should verify the actual license terms before adopting this package in a commercial or restricted-license context.
Quickstart
pip install uipath-langchain
from uipath_langchain import UiPathAgent
import os
from dotenv import load_dotenv
load_dotenv()
agent = UiPathAgent(url=os.getenv('UIPATH_URL'), token=os.getenv('UIPATH_ACCESS_TOKEN'))Verify before relying
- Whether the package's license is compatible with your project's license requirements (currently marked unclear in metadata).
- Whether all 22 runtime dependencies are required for basic usage or if some are optional for specific features.
- Performance characteristics and scalability limits for agent deployment on UiPath Cloud Platform.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 22 packagesa2a-sdkdeepagentshttpxjsonpath-ngjsonschema-pydantic-converterlangchain-corelangchain-mcp-adapterslangchainlanggraph-checkpoint-sqlitelanggraphmcpopeninference-instrumentation-langchainpillowpydantic-settingspython-dotenvrdflibuipath-coreuipath-langchain-clientuipath-llm-clientuipath-platformuipath-runtimeuipath |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 8,846,909 / month, #1,588 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersProgramming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Topic :: Software Development :: Build Tools |
Evidence: uipath_langchain-0.16.4-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “langgraph agent deployment uipath”
- uipath-langchainBuilds and deploys LangGraph agents to UiPath Cloud Platform with…
- uipath-platformA Python SDK for programmatic interaction with UiPath Cloud Platform…
- uipathA Python SDK and CLI for programmatic interaction with UiPath Cloud…
Give your agent the search over MCP, or paste the wish link into any chat.
More Build Tools packages
Provides reusable utilities for Python packaging interoperability, including version handling, specifiers, markers, requirements, tags, and metadata parsing according to standards like PEP 440 and PEP 425.
Wraps any iterable to display a real-time progress bar in the terminal or Jupyter notebook, showing iteration count, elapsed time, and estimated time remaining.
pip is the standard installer for Python packages, enabling you to download and install packages from the Python Package Index and other indexes into your Python environment.
Hatchling is a standards-compliant Python build backend that handles packaging, metadata, and distribution of Python projects when configured in a project's pyproject.toml file.
Generates Python gRPC service stubs and message classes from Protocol Buffer definitions, enabling developers to build gRPC clients and servers.
pre-commit is a framework for installing and running git hooks written in any language before commits are made, automating code quality and validation checks across multi-language projects.
Install it if your team needs consistent, automated validation at commit time.
See also uipath-platform · uipath · uipath-runtime · uipath-dev · copilotkit · uipath-llm-client · langgraph · langchain-cli · uipath-core · langserve