When adding AI/ML libraries to a project, carefully consider whether they belong in dependencies or devDependencies. Libraries used for examples, experimentation, or development tooling should be classified as devDependencies to avoid bloating production bundles. Maintain consistency by avoiding install scripts in package.json for dev-only AI libraries.
Example:
// Correct - AI libraries for examples/development
"devDependencies": {
"@langchain/core": "^0.3.40",
"@langchain/openai": "^0.4.4"
}
// Avoid install scripts for dev dependencies
"scripts": {
"example": "npm run build-dom-scripts && tsx examples/example.ts"
// Not: "langchain": "npm install @langchain/core @langchain/openai && ..."
}
This ensures production deployments only include necessary AI dependencies while keeping development and example code properly isolated.
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