langchain-dependencies

Guide dependency management for LangChain projects in Python and TypeScript.

1|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/wpsadi/stock-agent --skill langchain-dependencies-wpsadi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/wpsadi/stock-agent/tree/main/.agents/skills/langchain-dependencies
Command: npx skills add https://github.com/wpsadi/stock-agent --skill langchain-dependencies-wpsadi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive guide to managing dependencies within the LangChain ecosystem, ensuring compatibility and efficient project setup.

Core Features & Use Cases

  • Dependency Overview: Details required packages, minimum versions, and environment requirements.
  • Framework Choice: Guidance on selecting the appropriate orchestration layer (LangGraph or Deep Agents).
  • Core Packages: Lists essential packages like langchain, langchain-core, and langsmith.
  • Model Providers: Identifies model provider packages and their uses.
  • Versioning Policy: Describes versioning practices and upgrade strategies.
  • Minimal Project Templates: Provides templates for Python and TypeScript projects.
  • Environment Variables: Instructions for setting environment variables.
  • Common Mistakes: Lists and explains common mistakes to avoid.
  • Fixes and Upgrades: Offers solutions for legacy versions and outdated packages.

Quick Start

Run the 'langchain-dependencies' skill to get detailed information about package versions and installation for LangChain projects.

Frequently Asked Questions about langchain-dependencies

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

FAQPage Schema
What packages are required for a LangChain project setup?

Essential LangChain project packages include `langchain`, `langchain-core`, and `langsmith`, along with specific model provider packages. This guide details required packages, minimum versions, and environment requirements for proper setup.

How do I manage LangChain dependencies in Python and TypeScript projects?

Manage LangChain dependencies by using provided minimal project templates for Python and TypeScript. This skill provides package versioning policies, environment variable instructions, and troubleshooting steps for legacy package upgrades.

Should I choose LangGraph or Deep Agents for my LangChain orchestration layer?

Choosing between LangGraph and Deep Agents depends on your orchestration needs. This guide provides framework choice guidance to help select the appropriate orchestration layer for your LangChain ecosystem.

Why are my LangChain package dependencies causing versioning conflicts?

LangChain versioning conflicts often stem from outdated packages or legacy versions. This guide explains versioning practices, lists common mistakes to avoid, and offers solutions for fixing and upgrading dependencies.

What are common mistakes to avoid when setting up LangChain environment variables?

Common LangChain environment setup mistakes include incorrect variable configurations and outdated package versions. This guide lists these specific mistakes and provides instructions for proper environment variable setup.

How do I upgrade legacy LangChain packages to the latest versions?

Upgrade legacy LangChain packages by following the outlined versioning policies and upgrade strategies. This guide offers specific fixes for outdated packages to ensure ecosystem compatibility.