vibn-frontend/PROMPT_REFACTOR_COMPLETE.md

✅ Prompt Versioning Refactor - Complete

Date: November 17, 2024
Status: Production Ready

---

🎯 What Changed

Before:

lib/ai/chat-modes.ts (297 lines)
└─ All 6 mode prompts in one giant file

After:

lib/ai/
├─ chat-modes.ts (38 lines) - Just type definitions & imports
└─ prompts/
   ├─ README.md - Documentation
   ├─ index.ts - Exports all prompts
   ├─ shared.ts - Shared components
   ├─ collector.ts - Collector mode (versioned)
   ├─ extraction-review.ts - Extraction review mode (versioned)
   ├─ vision.ts - Vision mode (versioned)
   ├─ mvp.ts - MVP mode (versioned)
   ├─ marketing.ts - Marketing mode (versioned)
   └─ general-chat.ts - General chat mode (versioned)

---

✨ Benefits

1. Clean Separation

Each prompt is now in its own file:

• Easy to find and edit
• Clear git diffs
• No accidentally changing the wrong prompt

2. Version Control

Each file tracks versions:

const COLLECTOR_V1: PromptVersion = {
  version: 'v1',
  createdAt: '2024-11-17',
  description: 'Initial version with GitHub analysis',
  prompt: `...`
};

export const collectorPrompts = {
  v1: COLLECTOR_V1,
  current: 'v1',  // ← Change this to switch versions
};

3. Easy Rollback

Problem with a new prompt? Just change one line:

current: 'v1'  // Rolled back instantly

4. A/B Testing Ready

Can test multiple versions:

const version = userInExperiment ? 'v2' : 'v1';
const prompt = collectorPrompts[version].prompt;

5. Documentation Built-In

Each version has metadata:

• version - Version identifier
• createdAt - When it was created
• description - What changed
• prompt - The actual prompt text

---

📝 How to Use

View Current Prompts

import { MODE_SYSTEM_PROMPTS } from '@/lib/ai/chat-modes';

// Same API as before - no breaking changes!
const prompt = MODE_SYSTEM_PROMPTS['collector_mode'];

Access Version History

import { collectorPrompts } from '@/lib/ai/prompts';

console.log(collectorPrompts.v1.prompt);      // Old version
console.log(collectorPrompts.current);         // 'v1'
console.log(collectorPrompts.v1.description);  // Why it changed

Add a New Version

1. Open the relevant file (e.g., prompts/collector.ts)
2. Add new version:

const COLLECTOR_V2: PromptVersion = {
  version: 'v2',
  createdAt: '2024-12-01',
  description: 'Added context-aware chunking instructions',
  prompt: `...`,
};

3. Update exports:

export const collectorPrompts = {
  v1: COLLECTOR_V1,
  v2: COLLECTOR_V2,  // Add
  current: 'v2',     // Switch
};

Rollback a Prompt

Just change the current field:

export const collectorPrompts = {
  v1: COLLECTOR_V1,
  v2: COLLECTOR_V2,
  current: 'v1',  // ← Back to v1
};

---

🔍 Verification

All Tests Pass

✅ Server starts successfully
✅ No import errors
✅ No linter errors
✅ Prompts load correctly
✅ AI chat working

File Structure

lib/ai/prompts/
├── README.md (4.5 KB) - Full documentation
├── collector.ts (3.6 KB)
├── extraction-review.ts (2.1 KB)
├── vision.ts (2.3 KB)
├── mvp.ts (2.0 KB)
├── marketing.ts (2.1 KB)
├── general-chat.ts (2.1 KB)
├── shared.ts (851 B)
└── index.ts (1.2 KB)

No Duplicates

• ✅ Old 297-line file replaced with 38-line import file
• ✅ All prompts moved to separate versioned files
• ✅ No redundant code

---

🚀 Next Steps

Immediate:

1. ✅ Server is running with new structure
2. ✅ Test AI chat to verify prompts work
3. ✅ Commit changes to git

Future Enhancements:

1. Context-Aware Chunking

Add to each prompt:

**Retrieved Context Format**:
When vector search returns chunks, they include:
- Document title and type
- Chunk number and total chunks
- Source metadata (importance, origin)

Always acknowledge the source when using retrieved information.

2. Analytics Tracking

await logPromptUsage({
  mode: 'collector_mode',
  version: collectorPrompts.current,
  responseTime: 1234,
  userSatisfaction: 4.5,
});

3. A/B Testing Framework

const { version, prompt } = await getPromptForUser(
  userId, 
  'collector_mode'
);
// Returns v1 or v2 based on experiment assignment

4. Database Storage

Move to Firestore for:

• No-deploy prompt updates
• Per-user customization
• Instant rollbacks
• Usage analytics

---

📚 Documentation

Full guide available in: lib/ai/prompts/README.md

Topics covered:

• How to add new versions
• How to rollback
• Best practices
• Future enhancements
• Example workflows

---

✅ Migration Checklist

• Create lib/ai/prompts/ directory
• Extract shared components to shared.ts
• Create versioned prompt files for all 6 modes
• Add version metadata (version, date, description)
• Create index file with exports
• Update chat-modes.ts to import from new files
• Write comprehensive README
• Test server startup
• Verify no import errors
• Verify no linter errors
• Verify AI chat works
• Document migration

---

🎉 Summary

Your prompts are now:

• ✅ Organized - One file per mode
• ✅ Versioned - Full history tracking
• ✅ Documented - Metadata for each version
• ✅ Flexible - Easy to update, rollback, or A/B test
• ✅ Scalable - Ready for database storage if needed

No breaking changes - existing code works exactly the same, just with better structure under the hood!

🚀 Ready to add context-aware chunking to prompts whenever you want!