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🐱 CHESHIRE CAT TEST ENVIRONMENT - QUICK START GUIDE
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📍 Location: /home/koko210Serve/docker/miku-discord/cheshire-cat

🎯 Purpose: Test Cheshire Cat as memory/context system for Miku Bot

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⚡ QUICK START (3 Commands)
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1. Start services:
   ./start.sh

2. Configure and upload knowledge:
   python3 test_setup.py

3. Run benchmarks:
   python3 benchmark_cat.py

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📊 WHAT TO LOOK FOR
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✅ GOOD (Proceed with integration):
   - Mean latency < 1500ms
   - P95 latency < 2000ms
   - RAG retrieval is accurate

⚠️  BORDERLINE (Try GPU embeddings):
   - Mean latency 1500-2000ms
   - Consider hybrid approach

❌ POOR (Stick with current system):
   - Mean latency > 2000ms
   - RAG quality is poor

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🔗 USEFUL LINKS
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Admin Panel:    http://localhost:1865/admin
API Docs:       http://localhost:1865/docs
Qdrant:         http://localhost:6333/dashboard

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📝 FILES CREATED
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Configuration:
  ✓ .env                      Environment variables
  ✓ docker-compose.test.yml   Docker services

Scripts:
  ✓ start.sh                  Start services
  ✓ stop.sh                   Stop services
  ✓ test_setup.py             Configure Cat & upload knowledge
  ✓ benchmark_cat.py          Performance benchmarks
  ✓ compare_systems.py        Compare Cat vs current system

Documentation:
  ✓ SETUP_COMPLETE.md         Full setup guide
  ✓ TEST_README.md            Testing documentation
  ✓ QUICK_START.txt           This file

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🎯 EXPECTED RESULTS (FX-6100)
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With CPU embeddings:
  Mean: 1600-2200ms          ⚠️  Borderline for voice chat

With GPU embeddings:
  Mean: 900-1400ms           ✅ Good for voice chat

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🛠️  TROUBLESHOOTING
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Services won't start:
  docker logs miku_cheshire_cat_test

Can't connect to llama-swap:
  Edit test_setup.py line 10 with correct URL

Embeddings too slow:
  Try GPU acceleration (requires spare VRAM)

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🧹 CLEANUP
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Stop services:
  ./stop.sh

Remove all data:
  docker-compose -f docker-compose.test.yml down -v

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📚 DETAILED DOCS
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Full guide:     cat SETUP_COMPLETE.md
Test docs:      cat TEST_README.md
View all files: ls -lah

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