{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/5"}],"enrichment":{"capability":"Provides LangChain-compatible chat models and embeddings that route requests through UiPath's LLM infrastructure, supporting multiple providers including OpenAI, Google, Anthropic, AWS Bedrock, Azure AI, and Fireworks.","skillfed_tags":["langchain-integration","multi-provider-llm","uipath-platform"],"use_cases":["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."],"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.\n\nThe 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.","worth_installing":"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."},"id":"uipath-langchain-client","links":{"html":"https://skillfed.io/packages/uipath-langchain-client","md":"https://skillfed.io/packages/uipath-langchain-client.md","pypi":"https://pypi.org/project/uipath-langchain-client/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-06","license_spdx":null,"license_treatment":"unclear","name":"uipath-langchain-client","python_support":"supports_current","summary":"LangChain-compatible chat models and embeddings for UiPath's LLM services"},"popularity":{"monthly_downloads":519282,"position":6219,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.17.3"}