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langchain-dependencies

Specify LangChain ecosystem package versions and environment requirements for Python and TypeScript projects.

Updated May 29, 2026
Search Tags:#versioning#dependencies#langchain#setup#environment#langgraph
One-click install
npx skills add https://github.com/patorn/langgraph-template --skill langchain-dependencies-patorn
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/patorn/langgraph-template/tree/main/.agents/skills/langchain-dependencies
Command: npx skills add https://github.com/patorn/langgraph-template --skill langchain-dependencies-patorn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps teams choose and pin compatible dependencies across Python and TypeScript for LangChain, LangGraph, LangSmith, and Deep Agents, ensuring smooth upgrades and consistent environments.

Core Features & Use Cases

  • Identify required packages and minimum versions for LangChain ecosystems in Python and TypeScript.
  • Provide environment requirements and upgrade strategies to avoid conflicts during project onboarding or upgrades.
  • Offer a reproducible dependency plan to simplify project handoffs and future maintenance.

Quick Start

Provide a ready-to-use dependency plan for a new LangGraph project, including versions and environment requirements.

Frequently Asked Questions about langchain-dependencies

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

FAQPage Schema
What are the minimum required package versions for a new LangChain and LangGraph project?▼

To set up a LangGraph project, this skill provides a ready-to-use dependency plan specifying required packages and minimum versions for Python and TypeScript. It outlines the environment requirements to ensure your LangGraph application starts without version conflicts.

How do I upgrade LangChain dependencies without breaking my existing LangSmith integration?▼

To upgrade LangChain dependencies without breaking LangSmith integration, apply the structured upgrade strategies provided by this skill. It specifies compatible versions and environment requirements to avoid conflicts across the LangChain ecosystem during stack upgrades.

Does this dependency management approach work for both Python and TypeScript LangChain environments?▼

Yes, this dependency management approach supports both Python and TypeScript LangChain environments. It identifies required packages and pins compatible versions across both languages to ensure consistent environments for LangChain, LangGraph, and Deep Agents.

Why do my LangChain and LangGraph packages conflict during environment setup?▼

LangChain and LangGraph packages conflict during environment setup due to unaligned or unpinned dependency versions. This skill provides a reproducible dependency plan specifying minimum versions and environment requirements to resolve these conflicts.

What is the best way to align LangChain ecosystem dependencies for project handoff?▼

The best way to align LangChain ecosystem dependencies for project handoff is to generate a reproducible dependency plan. This skill specifies required packages, minimum versions, and environment requirements to simplify future maintenance and ensure consistent project onboarding.

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