LangChain Dependencies

Manage package versions and dependencies for LangChain ecosystems across Python and TypeScript.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/Diploma-pending/test-case --skill langchain-dependencies-diploma-pending
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: LangChain Dependencies
Source: https://github.com/Diploma-pending/test-case/tree/main/.agents/skills/langchain-dependencies
Command: npx skills add https://github.com/Diploma-pending/test-case --skill langchain-dependencies-diploma-pending

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers manage package versions and dependencies for the LangChain ecosystem, preventing installation conflicts and ensuring compatibility.

Core Features & Use Cases

  • Package Versioning: Provides minimum and recommended versions for LangChain, LangGraph, LangSmith, and related integration packages.
  • Dependency Management: Details required packages for Python and TypeScript projects.
  • Use Case: When starting a new project using LangChain, use this Skill to determine the correct versions of langchain, langchain-core, and a model provider package like langchain-openai to install.

Quick Start

Use the LangChain Dependencies skill to find the minimum 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
What are the minimum required Python packages for a new LangGraph project?

To start a LangGraph project, you need specific minimum versions of LangChain, LangGraph, LangSmith, and related integration packages. This Skill provides the exact package versioning requirements and details the core packages needed for Python and TypeScript environments.

How do I manage LangChain dependencies to prevent installation conflicts?

Manage LangChain dependencies by following versioning policies and upgrade strategies for core packages and model providers. This Skill helps prevent installation conflicts by detailing required packages and addressing common installation mistakes across Python and TypeScript environments.

Do I need to install langchain-core separately when using model provider packages like langchain-openai?

When using model provider packages like langchain-openai, you need to ensure compatibility with langchain-core. This Skill provides guidance on required packages, detailing core packages, orchestration layers, and common tool integrations with their respective versioning policies.

Does LangChain dependency management differ between Python and TypeScript projects?

LangChain dependency management covers both Python and TypeScript projects, detailing required packages for each environment. This Skill outlines core packages, orchestration layers, model providers, and integration packages with specific versioning policies and environment requirements for both languages.

Why does my LangChain installation fail due to package version conflicts?

LangChain installation failures often stem from package version conflicts between core packages, orchestration layers, and integration tools. This Skill addresses common installation mistakes and provides recommended versions and upgrade strategies to ensure ecosystem compatibility.

What is the best way to upgrade LangChain ecosystem packages without breaking compatibility?

The best way to upgrade LangChain ecosystem packages is to follow established versioning policies and upgrade strategies. This Skill provides minimum and recommended versions for LangChain, LangGraph, LangSmith, and integration packages to maintain compatibility during upgrades.