langchain-dependencies

Standardize required packages and versions for LangChain-based Python and TypeScript projects.

Updated Nov 16, 2025

Search Tags:#versioning #dependencies #langchain #packaging #environment #guidelines

Ready to run

npx skills add https://github.com/daniel-dihardja/menuyukti --skill langchain-dependencies-daniel-dihardja

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/daniel-dihardja/menuyukti/tree/main/.agents/skills/langchain-dependencies
Command: npx skills add https://github.com/daniel-dihardja/menuyukti --skill langchain-dependencies-daniel-dihardja

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a centralized, repeatable specification of required packages, minimum versions, environment requirements, and upgrade strategies for LangChain ecosystems to ensure consistent project setup and smoother onboarding.

Core Features & Use Cases

Centralized dependency specification for Python and TypeScript projects.
Environment and versioning guidelines that prevent compatibility issues during onboarding and upgrades.
Use Case: When starting a new LangChain project, generate a ready-to-use dependency plan including core packages and recommended tooling.

Quick Start

Provide a ready-to-use dependency plan for a LangChain project by listing core Python/TS packages, environment requirements, and upgrade policies.

Frequently Asked Questions about langchain-dependencies

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

FAQPage Schema

How do I plan LangChain dependencies for a new Python or TypeScript project?▼

To plan LangChain dependencies, generate a centralized specification of required core packages, minimum versions, and environment requirements. This ensures consistent project setup and smoother onboarding across Python and TypeScript environments.

What packages do I need to install for a LangChain, LangGraph, and LangSmith project?▼

Required packages for a LangChain project include core dependencies for LangChain, LangGraph, LangSmith, and Deep Agents. Standardizing these packages and their versions prevents compatibility issues during onboarding and framework upgrades.

What is the best way to manage versioning and upgrades across LangChain ecosystems?▼

The best way to manage versioning is to apply standardized upgrade strategies and versioning policies across the LangChain ecosystem. This centralized approach prevents compatibility issues when upgrading Python and TypeScript packages.

Does this dependency specification support both Python and TypeScript environments?▼

Yes, the dependency specification supports both Python and TypeScript environments. It provides standardized environment requirements, recommended tooling, and framework choices across LangChain, LangGraph, LangSmith, and Deep Agents.

Why do I need a centralized dependency plan for LangChain-based applications?▼

You need a centralized LangChain dependency plan to satisfy core package constraints and versioning policies. This prevents compatibility issues and ensures consistent project setup across different development environments.

What are the common tooling recommendations when setting up a LangChain project environment?▼

Common tooling recommendations for LangChain projects include applying environment requirements and framework best practices. The dependency plan specifies required packages, minimum versions, and tooling to ensure smoother project onboarding.