uipath-langchain-client
LangChain-compatible chat models and embeddings for UiPath's LLM services
Decision gist · record as of 2026-08-14
Yes, with conditions. Install if you are already using UiPath's LLM infrastructure or plan to adopt it, and want a clean LangChain integration. The low install friction, active maintenance, and multi-provider support make it a solid choice for that use case. However, verify the license treatment before production use, and confirm that the normalized API mode meets your feature and stability requirements if you plan to use it.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.11 or later.
- Credentials and UiPath LLM service configuration must be available via environment variables or explicit settings.
- Low install friction with a pure-wheel distribution and only two runtime dependencies (langchain and uipath-llm-client).
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is provided in the package metadata. Verify the actual license before use in proprietary or copyleft-sensitive projects.
last release 2026-08-06 (8 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 519,282 downloads/mo, #6,219 on PyPI
Alternatives
Verify before relying
pip install uipath-langchain-client
from uipath_langchain_client import get_chat_model
from uipath_langchain_client.settings import get_default_client_settings
settings = get_default_client_settings()
chat_model = get_chat_model(model_name="gpt-4o-2024-11-20", client_settings=settings)
response = chat_model.invoke("Hello, how are you?")
print(response.content)- Whether the normalized API mode (UiPathChat, UiPathEmbeddings) is production-ready or still experimental.
- Support status and SLA for the UiPath LLM gateway infrastructure.
- Whether streaming and tool-calling work equally across all provider backends or have provider-specific limitations.
What it is and what it does
This package wraps LangChain's chat and embedding interfaces to route requests through UiPath's LLM infrastructure. It supports two modes: passthrough (vendor-specific APIs like OpenAI, Google, Anthropic, AWS Bedrock, Azure AI, and Fireworks) and normalized (a provider-agnostic interface). The factory functions automatically detect the model vendor and return the appropriate client, while direct class instantiation offers finer control. It depends on langchain and uipath-llm-client as runtime dependencies.
The package is designed for developers building LangChain applications within or alongside UiPath's automation platform. It handles streaming, tool binding, LangGraph agent integration, and model-specific features like extended thinking (OpenAI o1/o3 reasoning, Anthropic Claude thinking, Gemini thinking). Configuration options include retry behavior, request timeouts, and reasoning effort tuning.
Use it for
- Build LangChain agents that invoke multiple LLM providers through a single UiPath gateway without managing separate API keys.
- Stream chat responses and embeddings from various providers using a unified interface within LangChain workflows.
- Bind tools and create ReAct agents with LangGraph that automatically route to the best available model via UiPath.
- Integrate extended reasoning models (o1, o3, Claude with thinking) into automation pipelines with consistent configuration.
- Switch between LLM providers (OpenAI to Anthropic to Google) without rewriting application code by using the normalized API mode.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
Install if you are already using UiPath's LLM infrastructure or plan to adopt it, and want a clean LangChain integration. The low install friction, active maintenance, and multi-provider support make it a solid choice for that use case. However, verify the license treatment before production use, and confirm that the normalized API mode meets your feature and stability requirements if you plan to use it.
Install
uipath-langchain-client on PyPI
Before you install
Low install friction with a pure-wheel distribution and only two runtime dependencies (langchain and uipath-llm-client). Active maintenance with a release 8 days old. Optional provider extras allow minimal base installation.
Requires Python 3.11 or later. Credentials and UiPath LLM service configuration must be available via environment variables or explicit settings.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is provided in the package metadata. Verify the actual license before use in proprietary or copyleft-sensitive projects.
Quickstart
pip install uipath-langchain-client
from uipath_langchain_client import get_chat_model
from uipath_langchain_client.settings import get_default_client_settings
settings = get_default_client_settings()
chat_model = get_chat_model(model_name="gpt-4o-2024-11-20", client_settings=settings)
response = chat_model.invoke("Hello, how are you?")
print(response.content)Verify before relying
- Whether the normalized API mode (UiPathChat, UiPathEmbeddings) is production-ready or still experimental.
- Support status and SLA for the UiPath LLM gateway infrastructure.
- Whether streaming and tool-calling work equally across all provider backends or have provider-specific limitations.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release >=3.11 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packageslangchainuipath-llm-client |
| Maintenance | Actively maintained 8 days since the last release |
| First released | |
| Downloads | 519,282 / month, #6,219 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: uipath_langchain_client-1.17.3-py3-none-any.whl
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See also uipath-llm-client · unclecode-litellm · litellm-enterprise · langchain-protocol · uipath-langchain · lunary · llama-index-llms-langchain · langchain-openai