docs/STATUS_REPORT.md

📊 Status Report: LinguaCustodia API Refactoring

Date: September 30, 2025
Current Status: Configuration Layer Complete, Core Layer Pending
Working Space: https://huggingface.co/spaces/jeanbaptdzd/linguacustodia-financial-api

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✅ WHAT WE'VE DONE

Phase 1: Problem Solving ✅ COMPLETE

1. Solved Truncation Issue

   • Problem: Responses were truncated at 76-80 tokens
   • Solution: Applied respectful official configuration with anti-truncation measures
   • Result: Now generating ~141 tokens with proper endings
   • Status: ✅ WORKING in production

2. Implemented Persistent Storage

   • Problem: Models reload every restart
   • Solution: Added persistent storage detection and configuration
   • Result: Storage-enabled app deployed
   • Status: ⚠️ PARTIAL - Space variable not fully working yet

3. Fixed Storage Configuration

   • Problem: App was calling setup_storage() on every request
   • Solution: Call only once during startup, store globally
   • Result: Cleaner, more efficient storage handling
   • Status: ✅ FIXED in latest version

Phase 2: Code Quality ✅ COMPLETE

4. Created Refactored Version
   • Eliminated redundant code blocks
   • Created StorageManager and ModelManager classes
   • Reduced function length and complexity
   • Status: ✅ DONE (app_refactored.py)

Phase 3: Architecture Design ✅ COMPLETE

5. Designed Configuration Pattern

   • Created modular configuration system
   • Separated concerns (base, models, providers, logging)
   • Implemented configuration classes
   • Status: ✅ DONE in config/ directory

6. Created Configuration Files

   • config/base_config.py - Base application settings
   • config/model_configs.py - Model registry and configs
   • config/provider_configs.py - Provider configurations
   • config/logging_config.py - Structured logging
   • Status: ✅ CREATED and ready to use

7. Documented Architecture

   • Created comprehensive architecture document
   • Documented design principles
   • Provided usage examples
   • Listed files to keep/remove
   • Status: ✅ DOCUMENTED in docs/ARCHITECTURE.md

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🚧 WHAT WE NEED TO DO

Phase 4: Core Layer Implementation 🔄 NEXT

Priority: HIGH
Estimated Time: 2-3 hours

Need to create:

1. core/storage_manager.py

   • Handles storage detection and setup
   • Uses configuration from config/base_config.py
   • Manages HF_HOME and cache directories
   • Implements fallback logic

2. core/model_loader.py

   • Handles model authentication and loading
   • Uses configuration from config/model_configs.py
   • Manages memory cleanup
   • Implements retry logic

3. core/inference_engine.py

   • Handles inference requests
   • Uses generation configuration
   • Manages tokenization
   • Implements error handling

Phase 5: Provider Layer Implementation 🔄 PENDING

Priority: MEDIUM
Estimated Time: 3-4 hours

Need to create:

1. providers/base_provider.py

   • Abstract base class for all providers
   • Defines common interface
   • Implements shared logic

2. providers/huggingface_provider.py

   • Implements HuggingFace inference
   • Uses transformers library
   • Handles local model loading

3. providers/scaleway_provider.py

   • Implements Scaleway API integration
   • Handles API authentication
   • Implements retry logic
   • Status: STUB (API details needed)

4. providers/koyeb_provider.py

   • Implements Koyeb API integration
   • Handles deployment management
   • Implements scaling logic
   • Status: STUB (API details needed)

Phase 6: API Layer Refactoring 🔄 PENDING

Priority: MEDIUM
Estimated Time: 2-3 hours

Need to refactor:

1. api/app.py

   • Use new configuration system
   • Use new core modules
   • Remove old code

2. api/routes.py

   • Extract routes from main app
   • Use new inference engine
   • Implement proper error handling

3. api/models.py

   • Update Pydantic models
   • Add validation
   • Use configuration

Phase 7: File Cleanup 🔄 PENDING

Priority: LOW
Estimated Time: 1 hour

Need to:

1. Move test files to tests/ directory
2. Remove redundant files (see list in ARCHITECTURE.md)
3. Update imports in remaining files
4. Update documentation

Phase 8: Testing & Deployment 🔄 PENDING

Priority: HIGH
Estimated Time: 2-3 hours

Need to:

1. Test new architecture locally
2. Update Space deployment
3. Verify persistent storage works
4. Test inference endpoints
5. Monitor performance

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📝 CURRENT FILE STATUS

Production Files (Currently Deployed)

app.py                              # v20.0.0 - Storage-enabled respectful config
requirements.txt                    # Production dependencies
Dockerfile                          # Docker configuration

New Architecture Files (Created, Not Deployed)

config/
  ├── __init__.py                   ✅ DONE
  ├── base_config.py                ✅ DONE
  ├── model_configs.py              ✅ DONE
  ├── provider_configs.py           ✅ DONE
  └── logging_config.py             ✅ DONE

core/                               ⚠️ EMPTY - Needs implementation
providers/                          ⚠️ EMPTY - Needs implementation
api/                                ⚠️ EMPTY - Needs refactoring

Redundant Files (To Remove)

space_app.py                        ❌ Remove
space_app_with_storage.py          ❌ Remove
persistent_storage_app.py          ❌ Remove
memory_efficient_app.py            ❌ Remove
respectful_linguacustodia_config.py ❌ Remove
storage_enabled_respectful_app.py  ❌ Remove
app_refactored.py                   ❌ Remove (after migration)

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🎯 IMMEDIATE NEXT STEPS

Option A: Complete New Architecture (Recommended for Production)

Time: 6-8 hours total

1. Implement core layer (2-3 hours)
2. Implement provider layer - HuggingFace only (2-3 hours)
3. Refactor API layer (2-3 hours)
4. Test and deploy (1-2 hours)

Option B: Deploy Current Working Version (Quick Fix)

Time: 30 minutes

1. Fix persistent storage issue in current app.py
2. Test Space configuration
3. Deploy and verify
4. Continue architecture work later

Option C: Hybrid Approach (Balanced)

Time: 3-4 hours

1. Fix persistent storage in current version (30 min)
2. Deploy working version (30 min)
3. Continue building new architecture in parallel (2-3 hours)
4. Migrate when ready

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📊 PRODUCTION STATUS

Current Space Status

• URL: https://huggingface.co/spaces/jeanbaptdzd/linguacustodia-financial-api
• Version: 20.0.0 (Storage-Enabled Respectful Config)
• Model: LinguaCustodia/llama3.1-8b-fin-v0.3
• Hardware: T4 Medium GPU
• Status: ✅ RUNNING

What's Working

✅ API endpoints (/, /health, /inference, /docs)
✅ Model loading and inference
✅ Truncation fix (141 tokens vs 76-80)
✅ Respectful official configuration
✅ GPU memory management

What's Not Working

❌ Persistent storage (still using ephemeral cache)
⚠️ Storage configuration shows 0GB free
⚠️ Models reload on every restart

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💡 RECOMMENDATIONS

For Immediate Production Use:

1. Option B - Fix the current version quickly
2. Get persistent storage working properly
3. Verify models cache correctly

For Long-term Scalability:

1. Complete Option A - Build out the new architecture
2. This provides multi-provider support
3. Easier to maintain and extend

Best Approach:

1. Today: Fix current version (Option B)
2. This Week: Complete new architecture (Option A)
3. Migration: Gradual cutover with testing

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❓ QUESTIONS TO ANSWER

1. What's the priority?

   • Fix current production issue immediately?
   • Complete new architecture first?
   • Hybrid approach?

2. Do we need Scaleway/Koyeb now?

   • Or can we start with HuggingFace only?
   • When do you need other providers?

3. File cleanup now or later?

   • Clean up redundant files now?
   • Or wait until migration complete?

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📈 SUCCESS METRICS

Completed ✅

• Truncation issue solved
• Code refactored with classes
• Configuration pattern designed
• Architecture documented

In Progress 🔄

• Persistent storage working
• Core layer implementation
• Provider abstraction

Pending ⏳

• Scaleway integration
• Koyeb integration
• Full file cleanup
• Complete migration

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SUMMARY: We've made excellent progress on architecture design and problem-solving. The current version works (with truncation fix), but persistent storage needs fixing. We have a clear path forward with the new architecture.