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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" }