Configuration

This guide explains how to configure the memories-dev framework for your specific needs.

Basic Configuration

Environment Setup

Configure the framework using environment variables or a configuration file:

from memories.core.config import Config

# Load configuration from environment variables
config = Config.from_env()

# Or load from a YAML file
config = Config.from_yaml("config.yaml")

# Or set configuration directly
config = Config(
    data_dir="/path/to/data",
    cache_dir="/path/to/cache",
    log_level="INFO",
    max_memory_gb=64
)

Memory Configuration

Configure different memory tiers:

# Configure hot memory
config.hot_memory = {
    "max_size_gb": 32,
    "eviction_policy": "lru",
    "ttl_seconds": 3600,
    "compression": False
}

# Configure warm memory
config.warm_memory = {
    "max_size_gb": 128,
    "compression": True,
    "compression_level": 6,
    "chunk_size_mb": 64
}

# Configure cold memory
config.cold_memory = {
    "storage_type": "s3",
    "bucket": "memories-cold-storage",
    "region": "us-west-2",
    "lifecycle_days": 90
}

Storage Configuration

Configure storage backends:

# Configure local storage
config.storage = {
    "type": "local",
    "root_dir": "/data/memories",
    "max_size_gb": 1000,
    "backup_enabled": True
}

# Configure cloud storage
config.storage = {
    "type": "s3",
    "bucket": "memories-data",
    "region": "us-west-2",
    "credentials": {
        "access_key": "${AWS_ACCESS_KEY}",
        "secret_key": "${AWS_SECRET_KEY}"
    }
}

Network Configuration - ——————–

Configure network settings:

# Configure network parameters
config.network = {
    "max_connections": 1000,
    "timeout_seconds": 30,
    "retry_attempts": 3,
    "backoff_factor": 1.5
}

# Configure API endpoints
config.endpoints = {
    "main": "https://api.memories.dev",
    "backup": "https://backup.memories.dev",
    "metrics": "https://metrics.memories.dev"
}

Security Configuration

Configure security settings:

# Configure authentication
config.auth = {
    "provider": "oauth2",
    "client_id": "${OAUTH_CLIENT_ID}",
    "client_secret": "${OAUTH_CLIENT_SECRET}",
    "scopes": ["read", "write"]
}

# Configure encryption
config.encryption = {
    "algorithm": "aes-256-gcm",
    "key_rotation_days": 30,
    "kms_key_id": "${KMS_KEY_ID}"
}

Monitoring Configuration

Configure monitoring and logging:

# Configure logging
config.logging = {
    "level": "INFO",
    "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s",
    "output": ["console", "file"],
    "log_dir": "/var/log/memories"
}

# Configure metrics
config.metrics = {
    "provider": "prometheus",
    "endpoint": "http://localhost:9090",
    "push_interval": 10,
    "labels": {
        "environment": "production",
        "region": "us-west"
    }
}

Performance Configuration

Configure performance settings:

# Configure caching
config.cache = {
    "backend": "redis",
    "url": "redis://localhost:6379",
    "max_size_gb": 10,
    "ttl_seconds": 3600
}

# Configure query optimization
config.query = {
    "max_results": 1000,
    "timeout_seconds": 30,
    "use_cache": True,
    "spatial_index": "rtree"
}

Model Configuration

Configure AI models:

# Configure model settings
config.models = {
    "provider": "openai",
    "api_key": "${OPENAI_API_KEY}",
    "default_model": "gpt-4",
    "temperature": 0.7,
    "max_tokens": 2000
}

# Configure model deployment
config.model_deployment = {
    "type": "kubernetes",
    "namespace": "memories",
    "min_replicas": 2,
    "max_replicas": 10,
    "gpu_enabled": True
}

Advanced Configuration

Fine-tune advanced settings:

# Configure advanced features
config.advanced = {
    "feature_flags": {
        "experimental": False,
        "beta_features": True
    },
    "optimization": {
        "use_gpu": True,
        "batch_size": 64,
        "prefetch_enabled": True
    },
    "debugging": {
        "verbose": True,
        "profile_queries": True,
        "trace_enabled": False
    }
}

Configuration Validation

Validate your configuration:

# Validate configuration
try:
    config.validate()
except ConfigurationError as e:
    print(f"Configuration error: {e}")

# Test configuration
try:
    config.test_connection()
except ConnectionError as e:
    print(f"Connection error: {e}")

Configuration Best Practices

  1. Security - Never hardcode sensitive values - Use environment variables for secrets - Rotate keys regularly - Encrypt sensitive configuration

  2. Performance - Tune cache sizes based on workload - Configure appropriate timeouts - Enable compression where needed - Monitor and adjust as needed

  3. Monitoring - Enable comprehensive logging - Configure appropriate metrics - Set up alerting - Regular configuration review

  4. Maintenance - Document all configuration - Version control configuration - Regular backup of configuration - Automated configuration testing