tpmjs/packages/tools/official/IMPLEMENTATION_SUMMARY_NEW_TOOLS.md

TPMJS Tools Implementation Summary

Overview

Successfully implemented 5 production-ready TPMJS tools following the blocks.yml definitions:

1. finance.reconciliationMatch - Bank transaction reconciliation
2. cx.feedbackThemes - Customer feedback theme extraction
3. cx.churnRiskScore - Customer churn risk scoring
4. cx.npsAnalysis - NPS survey analysis
5. cx.ticketCategorize - Support ticket categorization

Tool Details

1. finance.reconciliationMatch (reconciliation-match)

Path: /packages/tools/official/reconciliation-match/

Description: Matches bank transactions to ledger entries for reconciliation using amount matching, date proximity scoring, and description similarity analysis.

Key Features:

• Exact amount matching with 60% weight
• Date proximity scoring (same day = 1.0, decreases with distance)
• Levenshtein distance for description similarity
• Confidence scores with match reasons
• Unmatched transaction tracking

Input Schema:

{
  bankTransactions: Array<{
    id: string;
    date: string;
    amount: number;
    description: string;
  }>;
  ledgerEntries: Array<{
    id: string;
    date: string;
    amount: number;
    description: string;
  }>;
}

Output:

• Matched pairs with confidence scores
• Unmatched bank transactions
• Unmatched ledger entries
• Match rate summary

---

2. cx.feedbackThemes (feedback-themes)

Path: /packages/tools/official/feedback-themes/

Description: Extracts themes and sentiment from customer feedback text using keyword-based analysis.

Key Features:

• 10+ theme categories (Performance, UI, Ease of Use, Features, Support, etc.)
• Sentiment scoring (positive/negative/neutral)
• Theme frequency tracking
• Overall sentiment calculation
• Example feedback for each theme

Input Schema:

{
  feedback: string[];
}

Output:

• Themes with sentiment scores and frequencies
• Overall sentiment breakdown
• Positive/negative/neutral counts
• Example feedback per theme

---

3. cx.churnRiskScore (churn-risk-score)

Path: /packages/tools/official/churn-risk-score/

Description: Scores customer churn risk based on usage, engagement, and support signals.

Key Features:

• Multi-signal risk assessment (usage, engagement, support)
• 0-100 risk score calculation
• Risk level categorization (critical/high/medium/low)
• Contributing factors with impact levels
• Actionable retention recommendations

Input Schema:

{
  customer: {
    id: string;
    name: string;
    subscriptionStartDate: string;
    lastLoginDate?: string;
    loginCount30Days?: number;
    activeUsersCount?: number;
    totalSeats?: number;
    supportTicketsCount30Days?: number;
    negativeTicketsCount30Days?: number;
    npsScore?: number;
    billingIssues?: boolean;
    contractEndDate?: string;
  };
}

Output:

• Risk score (0-100)
• Risk level classification
• Contributing risk factors
• Retention recommendations
• Summary statement

---

4. cx.npsAnalysis (nps-analysis)

Path: /packages/tools/official/nps-analysis/

Description: Analyzes NPS survey responses to categorize by promoter/passive/detractor and extract themes.

Key Features:

• NPS score calculation (% promoters - % detractors)
• Automatic categorization (9-10 = promoter, 7-8 = passive, 0-6 = detractor)
• Theme extraction from comments
• Separate themes for promoters vs detractors
• Actionable recommendations based on findings

Input Schema:

{
  responses: Array<{
    score: number; // 0-10
    comment?: string;
    respondentId?: string;
    date?: string;
  }>;
}

Output:

• NPS score
• Distribution breakdown (promoters/passives/detractors)
• Themes by category
• Recommendations
• Summary statement

---

5. cx.ticketCategorize (ticket-categorize)

Path: /packages/tools/official/ticket-categorize/

Description: Categorizes support tickets by type, priority, and product area with routing suggestions.

Key Features:

• 7 ticket categories (bug, feature-request, how-to, billing, technical-issue, account, other)
• 4 priority levels (critical, high, medium, low)
• Product area identification (API, Dashboard, Mobile, Integrations, etc.)
• Smart routing suggestions
• Estimated resolution time
• Automatic tagging

Input Schema:

{
  ticket: {
    id: string;
    subject: string;
    description: string;
    customerEmail?: string;
    createdAt?: string;
  };
}

Output:

• Category classification
• Priority level
• Product area
• Routing suggestion
• Tags
• Estimated resolution time
• Reasoning explanation

---

Technical Implementation

Stack

• AI SDK: v6.0.0-beta.124 (Vercel AI SDK)
• Schema: jsonSchema() (avoids Zod 4 JSON Schema issues)
• TypeScript: Strict mode with full type safety
• Build Tool: tsup (ESM only)
• Package Structure: Follows TPMJS monorepo conventions

Build Status

✅ All 5 tools successfully type-check ✅ All 5 tools successfully build ✅ All output files generated (index.js + index.d.ts)

File Structure (per tool)

tool-name/
├── src/
│   └── index.ts          # Full implementation with interfaces and logic
├── package.json          # With tpmjs field and category
├── tsconfig.json         # Extends @tpmjs/tsconfig/base.json
└── tsup.config.ts        # Standard tsup config

Package Naming Convention

• @tpmjs/reconciliation-match
• @tpmjs/feedback-themes
• @tpmjs/churn-risk-score
• @tpmjs/nps-analysis
• @tpmjs/ticket-categorize

Categories

• finance: reconciliation-match
• cx: feedback-themes, churn-risk-score, nps-analysis, ticket-categorize

Export Pattern

Each tool exports both named and default:

export const toolNameTool = tool({ ... });
export default toolNameTool;

Validation & Quality

All tools include:

• ✅ Input validation with error messages
• ✅ TypeScript interfaces for all data structures
• ✅ Comprehensive JSDoc comments
• ✅ Edge case handling
• ✅ Production-ready error handling
• ✅ Detailed tpmjs metadata in package.json

Usage Example

import { reconciliationMatchTool } from '@tpmjs/reconciliation-match';
import { streamText } from 'ai';

const result = await streamText({
  model: yourModel,
  tools: {
    reconciliationMatch: reconciliationMatchTool,
  },
  // ... your config
});

Next Steps

To use these tools:

1. Build the packages:

   pnpm --filter=@tpmjs/reconciliation-match... build
   pnpm --filter=@tpmjs/feedback-themes... build
   pnpm --filter=@tpmjs/churn-risk-score... build
   pnpm --filter=@tpmjs/nps-analysis... build
   pnpm --filter=@tpmjs/ticket-categorize... build
   

2. Type-check:

   pnpm --filter=@tpmjs/reconciliation-match type-check
   # ... repeat for other tools
   

3. Publish to npm (when ready):

   pnpm changeset
   pnpm changeset:version
   pnpm changeset:publish
   

Notes

• All tools use keyword-based heuristics for classification
• For advanced use cases, consider enhancing with AI model-powered analysis
• Categorization logic can be customized per organization
• All scoring algorithms use weighted factors that can be tuned
• Tools are designed to be composable with other TPMJS tools

---

Created: 2026-01-01 Author: AI Assistant Status: Production Ready