langchain-dependencies

Guide package dependency installation and versioning for LangChain ecosystems in Python and TypeScript.

3|Updated Jan 20, 2026
One-click install
npx skills add https://github.com/Sameeh07/AGENT-SKILLS --skill langchain-dependencies-sameeh07
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/Sameeh07/AGENT-SKILLS/tree/main/skills/langchain-dependencies
Command: npx skills add https://github.com/Sameeh07/AGENT-SKILLS --skill langchain-dependencies-sameeh07

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of managing package versions and dependencies within the LangChain ecosystem, preventing common installation errors and ensuring compatibility across different LangChain components and frameworks.

Core Features & Use Cases

  • Dependency Management: Provides clear guidance on required packages for LangChain, LangGraph, LangSmith, and Deep Agents in both Python and TypeScript.
  • Version Compatibility: Details minimum required versions, versioning best practices, and potential pitfalls with community packages.
  • Framework Choice: Helps users select between LangGraph and Deep Agents based on their project needs.
  • Use Case: When starting a new project that uses LangChain and needs to integrate with OpenAI and a vector store like Chroma, this Skill will tell you exactly which Python packages to install and their recommended versions.

Quick Start

Use the langchain-dependencies skill to find the correct Python packages for a new LangGraph project using OpenAI and Tavily search.

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 package dependencies for a new Python project?

To manage LangChain package dependencies effectively, you need to install core packages like langchain and langgraph alongside specific model provider packages like langchain-openai, ensuring version compatibility to prevent integration errors.

What LangChain packages do I need to install to integrate OpenAI and a vector store?

To integrate OpenAI and a vector store like Chroma, you must install the core langchain package alongside specific integration packages such as langchain-openai and langchain-chroma, ensuring you follow recommended versioning best practices.

Does LangGraph work with TypeScript environments or is it restricted to Python?

LangGraph works seamlessly with both TypeScript and Python environments. The LangChain ecosystem provides guidance on installing and managing framework dependencies in either language to ensure component compatibility.

When should I choose LangGraph versus Deep Agents for my project?

You should choose between LangGraph and Deep Agents based on your specific project needs. Evaluating the framework choice helps determine the required packages, ensuring you install only what is necessary to avoid community package pitfalls.

Why does my LangChain installation fail due to version incompatibilities?

Your LangChain installation fails due to version incompatibilities when minimum required versions are not met. Following versioning best practices and verifying minimum requirements for core packages and community integrations prevents these dependency errors.