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langchain-dependencies

Plan LangChain package versions and environment requirements for Python and TypeScript projects.

Updated Jul 13, 2025
Search Tags:#typescript#versioning#dependencies#langchain#environment#installation
One-click install
npx skills add https://github.com/Reofdev07/osai --skill langchain-dependencies-reofdev07
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/Reofdev07/osai/tree/main/.windsurf/skills/langchain-dependencies
Command: npx skills add https://github.com/Reofdev07/osai --skill langchain-dependencies-reofdev07

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LangChain projects often struggle to choose the right versions of core packages, manage environment requirements, and apply consistent dependency strategies across Python and TypeScript. This Skill provides structured guidance to ensure compatible editions of LangChain, LangGraph, LangSmith, and Deep Agents, with clear rules for both modern and legacy maintenance paths, and practical recommendations for environment setup and versioning.

Core Features & Use Cases

  • Environment requirements clarity: runtime versions (Python 3.10+ and Node.js 20+), and minimum versions for LangChain, LangSmith, and related tooling.
  • Package selection guidance: core packages, orchestration options (LangGraph or Deep Agents), and model provider compatibility.
  • Upgrade strategy: versioning policy and safe upgrade paths across LangChain 1.x LTS families and related libraries.
  • Templates and templates usage: provider-agnostic minimal templates and concrete examples for LangGraph and Deep Agents projects.

Quick Start

Configure a LangChain project by selecting core packages, environment requirements, and versioning strategy for Python or TypeScript.

Frequently Asked Questions about langchain-dependencies

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

FAQPage Schema
What LangChain packages and minimum versions do I need for a new TypeScript project?▼

LangChain dependency planning requires Node.js 20+ and Python 3.10+ minimum runtimes, alongside specific minimum versions for LangChain, LangGraph, and LangSmith packages to ensure ecosystem compatibility.

How do I manage LangChain dependency versioning across Python and TypeScript environments?▼

LangChain dependency versioning across Python and TypeScript requires applying consistent versioning policies and safe upgrade paths. You must specify core packages, orchestration choices like LangGraph, and environment constraints to ensure predictable upgrades.

Does LangGraph work with LangChain 1.x LTS packages?▼

LangGraph works with LangChain 1.x LTS packages when applying structured dependency guidance. This ensures compatible editions of LangChain, LangGraph, and LangSmith are selected, providing clear rules for modern and legacy maintenance paths.

What is the best way to choose between LangGraph and Deep Agents for orchestration?▼

Choosing between LangGraph and Deep Agents depends on your orchestration requirements and model provider compatibility. Dependency guidance provides provider-agnostic minimal templates and concrete examples to help you select the right orchestration option for your stack.

Why do my LangChain environment upgrades break package compatibility?▼

LangChain environment upgrades break package compatibility when versioning policies and minimum version constraints are not enforced. Applying structured dependency planning across LangChain, LangSmith, and related tooling ensures compatible stacks and prevents upgrade failures.

Do I need to install LangSmith separately when setting up a LangChain project?▼

You need to install LangSmith separately as part of your core package selection when setting up a LangChain project. Dependency planning guidance specifies the required packages and minimum versions for LangSmith to ensure full ecosystem compatibility.

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