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

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1,031

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デプロイメントとDevOps

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

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.

主な機能

01Type-safe Pydantic configuration loader with environment variable resolution

02Environment-aware LLM factory for switching providers and models dynamically

03Pre-configured Docker Compose setup for local Redis and LangSmith proxies

041,031 GitHub stars

05Hierarchical YAML configuration with environment-specific overrides

06Dual-mode secrets management for local development and GCP Secret Manager

ユースケース

01Switching between cost-effective and high-performance models across environments

02Automating environment promotion workflows and secure secret injection

03Establishing 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

主な機能

01Type-safe Pydantic configuration loader with environment variable resolution

02Environment-aware LLM factory for switching providers and models dynamically

03Pre-configured Docker Compose setup for local Redis and LangSmith proxies

041,031 GitHub stars

05Hierarchical YAML configuration with environment-specific overrides

06Dual-mode secrets management for local development and GCP Secret Manager

ユースケース

01Switching between cost-effective and high-performance models across environments

02Automating environment promotion workflows and secure secret injection

03Establishing 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