{
  "name": "tkyodrift",
  "version": "1.0.7",
  "description": "Lightweight CLI tool and library for detecting AI model drift using embeddings and scalar metrics. Tracks semantic, conceptual, and lexical change over time.",
  "main": "./tkyoDrift.js",
  "bin":{
    "tkyo": "./tkyoDrift.js"
  },
  "types": "./tkyo.d.ts",
  "repository": {
    "type": "git",
    "url": "https://github.com/oslabs-beta/tkyo-drift"
  },
  "keywords": [
    "drift-detection",
    "ai-monitoring",
    "embedding",
    "model-drift",
    "semantic-drift",
    "concept-drift",
    "lexical-drift",
    "ai-evaluation",
    "machine-learning",
    "transformers",
    "xenova",
    "huggingface",
    "vector-embedding",
    "cosine-similarity",
    "euclidean-distance",
    "scalars",
    "population-stability-index",
    "monitoring",
    "model-evaluation",
    "cli-tool"
  ],
  "authors": "Anthony Heinz, Wing Man Lam, Monique Nunez, Chris Antico, Milti Symeonoglou",
  "license": "MIT",
  "dependencies": {
    "@xenova/transformers": "^2.17.2",
    "chalk": "^5.4.1",
    "cli-table3": "^0.6.5",
    "fs": "^0.0.1-security",
    "path": "^0.12.7",
    "uuid": "^11.1.0"
  },
  "type": "module"
}