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LangChain Dependencies

Guide installation and version management for LangChain ecosystem packages.

1.1k|86|Updated Jan 22, 2026
Search Tags:#typescript#package management#python#dependencies#langchain#langgraph#deep agents
One-click install
npx skills add https://github.com/langchain-ai/langchain-skills --skill langchain-dependencies
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: LangChain Dependencies
Source: https://github.com/langchain-ai/langchain-skills/tree/main/config/skills/langchain-dependencies
Command: npx skills add https://github.com/langchain-ai/langchain-skills --skill langchain-dependencies

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users understand and manage the complex versioning and installation requirements for the LangChain ecosystem, preventing compatibility issues and ensuring smooth project setup.

Core Features & Use Cases

  • Dependency Management: Provides clear guidance on required packages for LangChain, LangGraph, LangSmith, and Deep Agents.
  • Version Compatibility: Details minimum versions and versioning policies for various packages.
  • Framework Choice: Explains when to use LangGraph versus Deep Agents.
  • Provider Integrations: Lists common model provider and tool integration packages.
  • Use Case: When starting a new project, use this Skill to get the exact requirements.txt or package.json dependencies needed for a LangGraph project with OpenAI and Tavily search.

Quick Start

Show me the Python dependencies needed for a LangGraph project using OpenAI and Tavily search.

Frequently Asked Questions about LangChain Dependencies

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What Python dependencies do I need to install for a LangGraph project?▼

LangGraph requires specific Python package versions for core functionality alongside model provider integrations like OpenAI and tool packages such as Tavily. This Skill provides the exact requirements.txt needed to ensure ecosystem version compatibility.

How do I manage LangChain package versions in TypeScript to prevent compatibility issues?▼

Manage LangChain package versions in TypeScript by specifying the correct package.json dependencies for LangChain, LangGraph, and LangSmith. This Skill details versioning policies and common installation mistakes to prevent ecosystem compatibility issues.

When should I use LangGraph versus Deep Agents for my project?▼

Choose LangGraph or Deep Agents based on your framework requirements and project scope. This Skill explains the framework choice between LangGraph and Deep Agents, detailing when to use each for optimal architecture.

What are common LangChain installation mistakes with model provider packages?▼

Common LangChain installation mistakes involve missing minimum version requirements or incorrect model provider integration packages. This Skill addresses these versioning policies and provider integration errors to ensure smooth project setup.

Does LangSmith require separate dependencies from LangChain in Python environments?▼

LangSmith requires specific package dependencies separate from the core LangChain packages in Python environments. This Skill provides comprehensive guidance on the required packages and version compatibility for LangSmith integration.

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