.env.example

# Kaltura Configuration
KALTURA_PARTNER_ID=your_partner_id
KALTURA_SECRET=your_secret_key
KALTURA_SERVICE_URL=https://cdnapisec.kaltura.com  # Kaltura API endpoint
KALTURA_SESSION_DURATION=86400  # Session duration in seconds (24 hours)

# AWS Configuration
AWS_ACCESS_KEY_ID=your_aws_access_key
AWS_SECRET_ACCESS_KEY=your_aws_secret_key
AWS_REGION=us-east-1  # Region where Bedrock is available

# Server Configuration
HOST=0.0.0.0  # Bind to all interfaces
PORT=8000  # Port to run the server on
PAGE_SIZE=10  # Number of items per page in API responses

# Model Configuration
MODEL_ID=anthropic.claude-3-5-sonnet-20241022-v2:0  # Claude model ID to use for analysis
SOCIAL_POST_MODEL_ID=anthropic.claude-3-5-haiku-20241022-v1:0  # Model ID for social post generation
MODEL_TIMEOUT=60  # Timeout in seconds for model requests
MODEL_MAX_TOKENS=6000  # Maximum number of tokens per request
MODEL_CHUNK_SIZE=12000  # Maximum size of text chunks for analysis
MODEL_TEMPERATURE=0  # Temperature for model responses (0 = more deterministic, 1 = more creative)

# Logging Configuration
LOG_LEVEL=INFO  # Main application log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
KALTURA_LOG_LEVEL=WARNING  # Kaltura client log level
AWS_LOG_LEVEL=WARNING  # AWS/boto3 log level
HTTP_LOG_LEVEL=WARNING  # HTTP client log level
LITELLM_LOG_LEVEL=WARNING  # LiteLLM log level