langchain-dependencies

Standardize LangChain dependency versions across Python and TypeScript projects.

8|Updated Jul 26, 2026

Search Tags:#typescript #versioning #python #dependencies #langchain #langgraph

Ready to run

npx skills add https://github.com/joonlab/joonlab-claudecode-setting-for-share --skill langchain-dependencies-joonlab

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/joonlab/joonlab-claudecode-setting-for-share/tree/main/claude/skills/langchain-dependencies
Command: npx skills add https://github.com/joonlab/joonlab-claudecode-setting-for-share --skill langchain-dependencies-joonlab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill resolves the complexity of managing the fragmented LangChain ecosystem, preventing version conflicts and ensuring stable project configurations.

Core Features & Use Cases

Dependency Management: Provides clear guidance on versioning for LangChain, LangGraph, and LangSmith.
Framework Selection: Helps choose between LangGraph and Deep Agents based on project requirements.
Best Practices: Offers standardized templates for Python and TypeScript to ensure compatibility and avoid legacy pitfalls.

Quick Start

Use the langchain-dependencies skill to generate a compatible dependency list for a new LangGraph project using Python.

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 versions and dependencies across Python and TypeScript projects?▼

You can manage LangChain versions by standardizing dependency management across Python and TypeScript, enforcing LTS versioning policies, and validating runtime versions to ensure environment compatibility and prevent version conflicts.

What's the best way to choose between LangGraph and Deep Agents for my orchestration framework?▼

Choosing between LangGraph and Deep Agents depends on your project requirements; this skill facilitates framework selection by providing standardized templates and guidance to ensure compatibility and avoid legacy pitfalls.

Why do LangChain dependency conflicts happen and how can I prevent them?▼

LangChain dependency conflicts happen due to the fragmented ecosystem and mismatched runtime versions; you can prevent them by enforcing LTS versioning policies and validating canonical import paths for community tools.

Do I need to validate runtime versions before adding LangChain community tools to my project?▼

Yes, you need to validate runtime versions before adding community tools to ensure environment compatibility; this skill checks runtime versions and canonical import paths to prevent configuration instability.

Can I use the same LangChain dependency list for both Python and TypeScript?▼

You cannot use the identical list, but you can standardize dependency management across both languages; the skill provides distinct standardized templates for Python and TypeScript to ensure compatibility.

How do I generate a compatible dependency list for a new LangGraph project?▼

To generate a compatible dependency list for a new LangGraph project, use standardized templates that validate runtime versions and enforce LTS versioning policies to ensure a stable configuration.