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JosephRobles23
JosephRobles23COMMUNITY
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langchain-dependencies

Manage LangChain ecosystem dependencies for Python and TypeScript projects.

Updated Aug 23, 2026
Search Tags:#typescript#package management#python#dependencies#langchain#langgraph#langsmith
One-click install
npx skills add https://github.com/JosephRobles23/Vora.IA --skill langchain-dependencies-josephrobles23
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/JosephRobles23/Vora.IA/tree/main/backend/.windsurf/skills/langchain-dependencies
Command: npx skills add https://github.com/JosephRobles23/Vora.IA --skill langchain-dependencies-josephrobles23

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of managing dependencies within the LangChain ecosystem, preventing version incompatibilities and ensuring smooth project setup and upgrades.

Core Features & Use Cases

  • Dependency Management: Provides clear guidance on required packages, minimum versions, and best practices for LangChain, LangGraph, LangSmith, and related tools.
  • Environment Setup: Details runtime requirements for both Python and TypeScript environments.
  • Framework Choice: Helps users select between LangGraph and Deep Agents for orchestration.
  • Use Case: When starting a new AI project using LangChain, consult this Skill to ensure you install the correct versions of langchain-core, langchain-community, and your chosen model provider package to avoid runtime errors.

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
What packages do I need to install for a LangChain project?▼

To set up a LangChain project, you need to install core packages like `langchain-core`, `langchain-community`, and specific model provider packages. This Skill provides comprehensive guidance on required packages, minimum versions, and best practices to ensure smooth project setup.

How do I manage LangChain dependency versions in Python and TypeScript?▼

Managing LangChain dependency versions involves specifying minimum requirements for both Python and TypeScript environments. This Skill details runtime requirements, versioning best practices, and required community tool packages to prevent version incompatibilities.

Does LangGraph work with LangSmith and what are the package requirements?▼

LangGraph works within the LangChain ecosystem alongside LangSmith and Deep Agents. This Skill helps you select between these orchestration frameworks and provides clear guidance on their specific package requirements and runtime environments.

Why does my LangChain project throw runtime errors after upgrading dependencies?▼

Runtime errors after upgrading LangChain dependencies usually stem from version incompatibilities between `langchain-core`, `langchain-community`, and provider packages. This Skill offers versioning best practices and environment setup guidance to prevent these conflicts.

When should I use Deep Agents instead of LangGraph for orchestration?▼

Choosing between Deep Agents and LangGraph for orchestration depends on your specific AI project requirements. This Skill provides framework choice guidance to help you select the correct orchestration tool and install the appropriate dependencies for your environment.

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