chore(security): enhance environment configuration, CI workflows, and wallet daemon with security improvements

- Restructure .env.example with security-focused documentation, service-specific environment file references, and AWS Secrets Manager integration
- Update CLI tests workflow to single Python 3.13 version, add pytest-mock dependency, and consolidate test execution with coverage
- Add comprehensive security validation to package publishing workflow with manual approval gates, secret scanning, and release

gpu_acceleration/__init__.py

@@ -0,0 +1,125 @@
+"""
+GPU Acceleration Module
+
+This module provides a clean, backend-agnostic interface for GPU acceleration
+in the AITBC project. It automatically selects the best available backend
+(CUDA, Apple Silicon, CPU) and provides unified ZK operations.
+
+Usage:
+    from gpu_acceleration import GPUAccelerationManager, create_gpu_manager
+    
+    # Auto-detect and initialize
+    with GPUAccelerationContext() as gpu:
+        result = gpu.field_add(a, b)
+        metrics = gpu.get_performance_metrics()
+    
+    # Or specify backend
+    gpu = create_gpu_manager(backend="cuda")
+    result = gpu.field_mul(a, b)
+"""
+
+# Public API
+from .gpu_manager import (
+    GPUAccelerationManager,
+    GPUAccelerationContext,
+    create_gpu_manager,
+    get_available_backends,
+    auto_detect_best_backend,
+    ZKOperationConfig
+)
+
+# Backend enumeration
+from .compute_provider import ComputeBackend, ComputeDevice
+
+# Version information
+__version__ = "1.0.0"
+__author__ = "AITBC Team"
+__email__ = "dev@aitbc.dev"
+
+# Initialize logging
+import logging
+logger = logging.getLogger(__name__)
+
+# Auto-detect available backends on import
+try:
+    AVAILABLE_BACKENDS = get_available_backends()
+    BEST_BACKEND = auto_detect_best_backend()
+    logger.info(f"GPU Acceleration Module loaded")
+    logger.info(f"Available backends: {AVAILABLE_BACKENDS}")
+    logger.info(f"Best backend: {BEST_BACKEND}")
+except Exception as e:
+    logger.warning(f"GPU backend auto-detection failed: {e}")
+    AVAILABLE_BACKENDS = ["cpu"]
+    BEST_BACKEND = "cpu"
+
+# Convenience functions for quick usage
+def quick_field_add(a, b, backend=None):
+    """Quick field addition with auto-initialization."""
+    with GPUAccelerationContext(backend=backend) as gpu:
+        return gpu.field_add(a, b)
+
+def quick_field_mul(a, b, backend=None):
+    """Quick field multiplication with auto-initialization."""
+    with GPUAccelerationContext(backend=backend) as gpu:
+        return gpu.field_mul(a, b)
+
+def quick_field_inverse(a, backend=None):
+    """Quick field inversion with auto-initialization."""
+    with GPUAccelerationContext(backend=backend) as gpu:
+        return gpu.field_inverse(a)
+
+def quick_multi_scalar_mul(scalars, points, backend=None):
+    """Quick multi-scalar multiplication with auto-initialization."""
+    with GPUAccelerationContext(backend=backend) as gpu:
+        return gpu.multi_scalar_mul(scalars, points)
+
+# Export all public components
+__all__ = [
+    # Main classes
+    "GPUAccelerationManager",
+    "GPUAccelerationContext",
+    
+    # Factory functions
+    "create_gpu_manager",
+    "get_available_backends",
+    "auto_detect_best_backend",
+    
+    # Configuration
+    "ZKOperationConfig",
+    "ComputeBackend",
+    "ComputeDevice",
+    
+    # Quick functions
+    "quick_field_add",
+    "quick_field_mul",
+    "quick_field_inverse",
+    "quick_multi_scalar_mul",
+    
+    # Module info
+    "__version__",
+    "AVAILABLE_BACKENDS",
+    "BEST_BACKEND"
+]
+
+# Module initialization check
+def is_available():
+    """Check if GPU acceleration is available."""
+    return len(AVAILABLE_BACKENDS) > 0
+
+def is_gpu_available():
+    """Check if any GPU backend is available."""
+    gpu_backends = ["cuda", "apple_silicon", "rocm", "opencl"]
+    return any(backend in AVAILABLE_BACKENDS for backend in gpu_backends)
+
+def get_system_info():
+    """Get system information for GPU acceleration."""
+    return {
+        "version": __version__,
+        "available_backends": AVAILABLE_BACKENDS,
+        "best_backend": BEST_BACKEND,
+        "gpu_available": is_gpu_available(),
+        "cpu_available": "cpu" in AVAILABLE_BACKENDS
+    }
+
+# Initialize module with system info
+logger.info(f"GPU Acceleration System Info: {get_system_info()}")