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- Implemented a comprehensive validation script to ensure all production requirements are met. - The script checks project structure, Python environment, containerization setup, service implementations, documentation, testing infrastructure, security measures, monitoring, configuration management, and performance optimizations. - Provides detailed logging for each check, including success, warnings, and errors. - Summarizes the results and indicates if the project is production ready.
- Deleted plan.md, quickstart.md, research.md, spec.md, and tasks.md as part of the transition to a new implementation strategy. - These files contained outdated specifications and plans that are no longer relevant to the current project direction.
…ed configuration - Updated .env.example for better environment configuration options. - Added Dockerfile for CPU-only model service. - Removed llama-cpp-python from core dependencies in pyproject.toml. - Improved simple_dashboard.py to check ChromaDB health. - Refactored model_server.py to use adaptive model service. - Introduced adaptive_model_service.py for flexible model backend support. - Enhanced ModelConfig with additional parameters for model configuration. - Created comprehensive deployment script (deploy-jerry.sh) for streamlined deployment. - Added Kubernetes manifest (jerry-minimal.yaml) for infrastructure deployment. - Documented infrastructure status and refinement plan for better project management.
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