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LangChain Dependencies

Manage LangChain, LangGraph, and LangSmith package versions for Python and TypeScript projects.

11|2|Updated Feb 3, 2026
Search Tags:#typescript#package management#python#dependencies#langchain#langgraph#deep agents
One-click install
npx skills add https://github.com/jackjin1997/ClawForge --skill langchain-dependencies-jackjin1997
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: LangChain Dependencies
Source: https://github.com/jackjin1997/ClawForge/tree/main/skills/langchain-dependencies
Command: npx skills add https://github.com/jackjin1997/ClawForge --skill langchain-dependencies-jackjin1997

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers manage the complex and often confusing dependency landscape of the LangChain ecosystem, preventing version conflicts and ensuring compatibility.

Core Features & Use Cases

  • Package Identification: Lists essential and optional packages for Python and TypeScript.
  • Version Guidance: Provides minimum required versions and best practices for LangChain 1.0+.
  • Framework Choice: Clarifies when to use LangGraph versus Deep Agents.
  • Environment Setup: Details necessary environment variables for various services.
  • Use Case: When starting a new AI project using LangChain, consult this Skill to determine the exact packages and versions needed for your Python environment, ensuring a smooth setup.

Quick Start

Use the LangChain Dependencies skill to list the required Python packages for a new LangGraph project.

Frequently Asked Questions about LangChain Dependencies

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

FAQPage Schema
How do I manage LangChain package versions to prevent dependency conflicts?▼

To manage LangChain package versions and prevent conflicts, identify essential and optional packages for your Python or TypeScript environment, ensuring you meet minimum version requirements for LangChain 1.0+ compatibility.

What is the difference between using LangGraph and Deep Agents for an AI project?▼

LangGraph and Deep Agents serve distinct framework purposes within the LangChain ecosystem. Consulting dependency guidance clarifies their specific use cases to help you choose the correct framework for your project architecture.

What are the minimum required package versions for LangChain 1.0+ in Python?▼

Minimum required package versions for LangChain 1.0+ in Python ensure ecosystem compatibility. Detailed dependency guidance lists these specific version thresholds for core packages and common tool integrations to prevent runtime errors.

Which TypeScript packages do I need for a LangChain setup?▼

For a TypeScript LangChain setup, you need specific core packages and optional tool integration libraries. Dependency management guidance details these package requirements to ensure smooth project initialization and prevent incompatibilities.

What environment variables are necessary when configuring LangSmith and LangGraph?▼

Configuring LangSmith and LangGraph requires specific environment variables for various external services. Dependency guidance details these necessary environment configurations to ensure your framework setup connects and functions smoothly.

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