tpmjs/packages/tools/official/feedback-themes/package.json
Ajax Davis 5926373be6 chore: update ai package to 6.0.49 across all packages
- Updated all packages from ai@6.0.23 to ai@6.0.49
- Added pnpm override to ensure consistent version
- Created changeset for publishing affected packages
2026-01-25 11:33:03 +10:00

80 lines
2.2 KiB
JSON

{
"name": "@tpmjs/feedback-themes",
"version": "0.1.0",
"description": "Extracts themes and sentiment from customer feedback text",
"type": "module",
"keywords": [
"tpmjs",
"cx",
"feedback",
"sentiment",
"analysis",
"customer-success"
],
"exports": {
".": {
"types": "./dist/index.d.ts",
"default": "./dist/index.js"
}
},
"files": [
"dist"
],
"scripts": {
"build": "tsup",
"dev": "tsup --watch",
"type-check": "tsc --noEmit",
"clean": "rm -rf dist .turbo"
},
"devDependencies": {
"@tpmjs/tsconfig": "workspace:*",
"tsup": "^8.5.1",
"typescript": "^5.9.3"
},
"publishConfig": {
"access": "public"
},
"repository": {
"type": "git",
"url": "https://github.com/ajaxdavis/tpmjs.git",
"directory": "packages/tools/official/feedback-themes"
},
"homepage": "https://tpmjs.com",
"license": "MIT",
"tpmjs": {
"category": "cx",
"frameworks": [
"vercel-ai"
],
"tools": [
{
"name": "feedbackThemesTool",
"description": "Extracts themes and sentiment from customer feedback text. Identifies recurring themes, scores sentiment per theme, and provides frequency counts.",
"parameters": [
{
"name": "feedback",
"type": "string[]",
"description": "Array of customer feedback entries",
"required": true
}
],
"returns": {
"type": "FeedbackThemes",
"description": "Themes with sentiment scores, frequency counts, and example feedback"
},
"aiAgent": {
"useCase": "Use this tool to analyze customer feedback, identify common themes, track sentiment trends, and prioritize product improvements based on customer voice.",
"limitations": "Sentiment analysis is keyword-based. For complex sentiment, consider using an AI model. Requires sufficient feedback volume for meaningful themes.",
"examples": [
"Analyze product reviews to identify improvement areas",
"Extract themes from NPS survey comments",
"Track sentiment trends across feedback channels"
]
}
}
]
},
"dependencies": {
"ai": "6.0.49"
}
}