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langchain-dependencies

Identify and manage LangChain ecosystem dependencies for Python and TypeScript projects.

3|1|Updated Jun 4, 2025
Search Tags:#typescript#versioning#python#dependencies#langchain#setup#environment
One-click install
npx skills add https://github.com/jillesca/sp_oncall --skill langchain-dependencies-jillesca
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/jillesca/sp_oncall/tree/main/.agents/skills/langchain-dependencies
Command: npx skills add https://github.com/jillesca/sp_oncall --skill langchain-dependencies-jillesca

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers identify and manage LangChain ecosystem dependencies for Python and TypeScript projects, ensuring consistent setups and preventing version conflicts.

Core Features & Use Cases

  • Centralizes guidance on required core packages (LangChain, LangGraph or Deep Agents) and environment prerequisites for both Python and TypeScript projects.
  • Helps teams choose the appropriate orchestration framework and pin compatible versions to minimize breakages during upgrades.
  • Provides a practical use-case scenario for starting new LangChain projects with proper dependency alignment and tooling.

Quick Start

Install the core LangChain packages and pick a framework (LangGraph or Deep Agents) following the guidance, then pin compatible versions.

Frequently Asked Questions about langchain-dependencies

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

FAQPage Schema
What LangChain dependencies do I need for a new Python or TypeScript project?▼

To manage LangChain dependencies, you must install explicit core packages like langchain and langchain-core. This Skill enforces a 1.0+ LTS baseline and guides framework selection between LangGraph and Deep Agents to prevent version conflicts.

How do I choose between LangGraph and Deep Agents for my LangChain setup?▼

Choosing between LangGraph and Deep Agents involves evaluating your orchestration needs. This Skill guides framework selection to ensure proper dependency alignment and minimize breakages during LangChain project upgrades.

How do I prevent version conflicts when upgrading LangChain packages?▼

Preventing version conflicts requires pinning compatible versions of LangChain core packages and frameworks. This Skill helps identify necessary dependencies and enforces a 1.0+ LTS baseline to maintain stability during upgrades.

Does LangChain work with both Python and TypeScript environments?▼

LangChain supports both Python and TypeScript environments. This Skill centralizes dependency management guidance for both languages, ensuring consistent setups and proper tooling alignment across your projects.

Why do I need explicit langchain-core packages in my project setup?▼

Explicit langchain-core packages are required to maintain a stable 1.0+ LTS baseline. Enforcing these core dependencies ensures ecosystem compatibility and prevents breakages when integrating orchestration frameworks like LangGraph.

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