langchain-dependencies

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

Updated Aug 27, 2026

Search Tags:#versioning #dependencies #langchain #environment #langgraph #langsmith #deep-agents

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npx skills add https://github.com/Hanseooo/hanseo-opencode-workflows --skill langchain-dependencies-hanseooo

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Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/Hanseooo/hanseo-opencode-workflows/tree/main/skills/langchain-dependencies
Command: npx skills add https://github.com/Hanseooo/hanseo-opencode-workflows --skill langchain-dependencies-hanseooo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This guide helps teams and developers determine the correct LangChain ecosystem dependencies for new projects, including both Python and TypeScript environments, ensuring consistent versioning, environment requirements, and best-practice tool selections.

Core Features & Use Cases

Provides a consolidated view of required core packages (langchain, langchain-core, langsmith) and the recommended orchestration framework (LangGraph or Deep Agents) for Python and TypeScript projects.
Details environment requirements, versioning policy, and upgrade strategies to keep projects stable through updates.
Offers clear guidance on selecting provider integrations and community tools, with examples for typical project setups.

Quick Start

Install the recommended core packages and framework choices for LangChain projects to ensure compatibility across Python and TypeScript ecosystems.

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 project?▼

To set up LangChain dependencies, install the recommended core packages: langchain, langchain-core, and langsmith. Then select an orchestration framework like LangGraph or Deep Agents to ensure ecosystem compatibility across Python and TypeScript projects.

How do I manage LangChain versioning and upgrade strategies?▼

Manage LangChain versioning by defining minimum versions and applying recommended upgrade strategies. This approach enforces compatibility across core packages and frameworks, preventing instability through LangChain ecosystem updates.

Does this LangChain dependency guide work for both Python and TypeScript?▼

Yes, this LangChain dependency guidance explicitly supports both Python and TypeScript projects. It defines environment requirements, framework selection, and recommended community tools for consistent setup across both languages.

When should I use LangGraph vs Deep Agents for LangChain workflows?▼

Choose LangGraph or Deep Agents based on your LangChain workflow orchestration needs. Both serve as recommended frameworks, and this guidance helps select the correct provider integrations to ensure stable operation across releases.

Why are explicit core packages required for LangChain environment setup?▼

Explicit core packages like langchain, langchain-core, and langsmith are required to enforce versioning policy and environment requirements. This prevents dependency conflicts and ensures stable operation across LangChain ecosystem updates.