langchain-dependencies

LangChain projects require core packages like langchain, langchain-core, and langsmith for both Python and TypeScript. This dependency management Skill provides minimal project templates listing all required package versions and environment configurations to ensure ecosystem compatibility.

Managing dependency versioning across LangChain, LangGraph, and LangSmith requires following a strict versioning policy and safe upgrade strategy. This Skill validates package versions across your projects to prevent conflicts and explains best practices for ecosystem upgrades.

Yes, you can use Deep Agents as an alternative to LangGraph for agent orchestration. This Skill provides framework choice guidance detailing when to select Deep Agents versus LangGraph based on your specific project requirements and dependency constraints.

LangChain dependencies break after upgrades due to common mistakes in version management and environment setup. This Skill identifies these frequent dependency conflicts and provides solutions, warning about improper package versions and missing environment variables.

Configuring LangChain model providers requires specific environment variables for authentication and tool integration. This Skill describes the necessary environment variables for available model providers and explains how they integrate with your LangChain ecosystem setup.