Can I use different LLM providers for different environments?

Yes, the provided LLM factory reads from environment-specific YAML files, allowing you to use cheaper models in development and more powerful models in production.

Is LangSmith integration included?

The skill includes ready-to-use configuration blocks for LangSmith tracing, allowing you to isolate traces by project name for each specific environment.

How does this skill handle sensitive credentials?

It implements a tiered secrets strategy using local .env files for development and Google Cloud Secret Manager for staging and production, ensuring keys are never hard-coded.

Does this require Pydantic?

Yes, it utilizes Pydantic Settings for robust validation, though the patterns can be adapted to other Python configuration libraries if necessary.

LangChain Multi-Environment Setup

Name: LangChain Multi-Environment Setup
Author: jeremylongshore

byjeremylongshore

•

1,031

Deployment & DevOps

Standardizes the configuration and deployment of LangChain applications across development, staging, and production environments.

About

This skill provides a robust framework for managing LangChain applications throughout the software development lifecycle. It implements a hierarchical configuration system using YAML and Pydantic, allowing developers to maintain a base configuration while overriding specific parameters for dev, staging, and production tiers. It includes integrated secrets management for GCP and local environments, environment-aware LLM factories for cost-effective development, and Docker Compose templates to ensure consistency across the team.

Key Features

Type-safe Pydantic configuration loader with environment variable resolution
Environment-aware LLM factory for switching providers and models dynamically
Pre-configured Docker Compose setup for local Redis and LangSmith proxies
1,031 GitHub stars
Hierarchical YAML configuration with environment-specific overrides
Dual-mode secrets management for local development and GCP Secret Manager

Use Cases

Switching between cost-effective and high-performance models across environments
Automating environment promotion workflows and secure secret injection
Establishing a standardized dev/staging/prod pipeline for LLM-powered applications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills langchain-multi-env-setup

For use in Claude.ai and ChatGPT

Download Skill

GitHub