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langchain-dependencies

Manage LangChain ecosystem dependencies across Python and TypeScript projects.

Updated Mar 7, 2026
Search Tags:#typescript#package management#python#dependencies#langchain#langgraph#deep agents
One-click install
npx skills add https://github.com/tivon-x/deep-research --skill langchain-dependencies-tivon-x
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/tivon-x/deep-research/tree/main/.agents/skills/langchain-dependencies
Command: npx skills add https://github.com/tivon-x/deep-research --skill langchain-dependencies-tivon-x

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users understand and manage the complex dependency landscape of the LangChain ecosystem, preventing version conflicts and ensuring correct package installations for Python and TypeScript projects.

Core Features & Use Cases

  • Package Identification: Lists essential and optional packages for LangChain, LangGraph, LangSmith, and Deep Agents.
  • Version Management: Provides minimum version requirements and best practices for stable dependency management.
  • Framework Choice Guidance: Helps users select between LangGraph and Deep Agents.
  • Use Case: When starting a new project, use this Skill to get the exact requirements.txt or package.json dependencies needed for a LangGraph project with OpenAI and Tavily search integration.

Quick Start

Use the langchain-dependencies skill to get the Python requirements for a Deep Agents 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
What dependencies do I need for a LangGraph project in Python?▼

Required LangGraph dependencies in Python include core LangGraph packages alongside specific integration packages like LangChain OpenAI and Tavily search, ensuring you meet minimum version requirements for stable project compatibility.

How do I manage LangChain ecosystem dependencies in TypeScript without version conflicts?▼

Managing LangChain dependencies in TypeScript requires specifying exact package versions in package.json for LangChain, LangGraph, and LangSmith to prevent version conflicts and ensure correct installations across your project.

Do I need different packages for LangGraph versus Deep Agents?▼

LangGraph and Deep Agents require different package installations within the LangChain ecosystem. You can use dependency management guidance to identify required packages and select the appropriate framework based on your specific project needs.

What are the minimum version requirements for LangSmith and LangChain packages?▼

Minimum version requirements for LangSmith and LangChain packages are specified to prevent version conflicts and ensure stable dependency management. Installing versions below these thresholds may cause compatibility issues across the ecosystem.

Why does my LangChain Python environment break when adding Tavily search integration?▼

LangChain Python environments break during Tavily search integration due to version conflicts between ecosystem packages. Resolving this requires aligning your requirements.txt with the specified minimum versions and community tool package combinations.

Can I use LangChain and LangGraph packages together in the same project?▼

You can use LangChain and LangGraph packages together by following versioning strategies that ensure project compatibility. Identifying the correct essential and optional packages prevents dependency conflicts across Python and TypeScript environments.

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