tkyodrift
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Lightweight CLI tool and library for detecting AI model drift using embeddings and scalar metrics. Tracks semantic, conceptual, and lexical change over time.
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{
"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"
}