langchain-dependencies

Manage LangChain ecosystem dependencies for Python and TypeScript projects.

2|Updated Sep 9, 2024
One-click install
npx skills add https://github.com/ThiNepo/prompt-caller --skill langchain-dependencies-thinepo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: langchain-dependencies
Source: https://github.com/ThiNepo/prompt-caller/tree/main/.continue/skills/langchain-dependencies
Command: npx skills add https://github.com/ThiNepo/prompt-caller --skill langchain-dependencies-thinepo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps manage the complex and evolving dependency landscape of the LangChain ecosystem, preventing version conflicts and ensuring compatibility.

Core Features & Use Cases

  • Version Guidance: Provides minimum and recommended versions for core LangChain packages, providers, and community tools.
  • Framework Choice: Clarifies the distinction and usage between LangGraph and Deep Agents.
  • Environment Setup: Details necessary environment variables and runtime requirements for Python and TypeScript.
  • Use Case: When starting a new project or encountering import errors, use this Skill to get the correct package list and installation commands for your chosen LangChain setup.

Quick Start

Use the langchain-dependencies skill to get the Python package list for a new LangGraph project with OpenAI support.

Frequently Asked Questions about langchain-dependencies

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

FAQPage Schema
How do I manage LangChain ecosystem dependencies to prevent version conflicts?

To manage LangChain ecosystem dependencies and prevent version conflicts, follow specific package requirements and versioning best practices for LangGraph, LangSmith, and Deep Agents in both Python and TypeScript environments.

What is the difference between LangGraph and Deep Agents for my project?

The difference between LangGraph and Deep Agents lies in their framework usage; this Skill clarifies their distinctions to help you choose the correct integration and package requirements for your specific LangChain setup.

How do I set up a Python environment for a new LangGraph project?

To set up a Python environment for a new LangGraph project, use this Skill to get the correct package list, minimum recommended versions, necessary environment variables, and runtime installation commands.

Can I use TypeScript with LangChain and LangSmith?

Yes, you can use TypeScript with LangChain and LangSmith; this Skill provides necessary environment variables, runtime requirements, and version guidance for TypeScript development alongside Python.

Why does my LangChain import fail after installation?

LangChain import failures often stem from incorrect package versions or missing environment variables; use this Skill to verify correct package lists, recommended versions, and resolve common integration issues.