Configure LangChain multi-environment setup for dev/staging/prod. Use when managing multiple environments, configuring environment-specific settings, or implementing environment promotion workflows. Trigger with phrases like "langchain environments", "langchain staging", "langchain dev prod", "environment configuration", "langchain env setup".
7.0
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0
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AI & LLM
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This skill provides comprehensive guidance for configuring LangChain across multiple environments (dev/staging/prod). The description clearly identifies when to use it, and the SKILL.md delivers complete implementation details including configuration files, Python code for settings management, LLM factory patterns, secrets handling, and Docker setup. The structure is logical with step-by-step instructions, code examples, error handling, and promotion workflows. While multi-environment setup is a common DevOps pattern, applying it specifically to LangChain with environment-aware LLM configuration, LangSmith tracing per environment, and integrated secrets management adds meaningful value. A CLI agent would need significant effort to assemble all these pieces correctly across configuration formats, Pydantic models, and cloud-specific secrets management. Minor improvement areas: could benefit from separate files for longer code blocks and additional testing/validation steps.
jeremylongshore
Skill Author
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