Python sdk
Configuration
Learn how to configure the VedaTrace SDK for Python.
Use VedaTraceConfig to control runtime behavior.
from vedatrace import BatchingConfig, RetryConfig, VedaTrace, VedaTraceConfig
def on_error(exc: Exception) -> None:
# Route SDK failures to your telemetry.
pass
config = VedaTraceConfig(
api_key="YOUR_API_KEY",
service="your-service",
console_enabled=False,
batching=BatchingConfig(enabled=True, batch_size=10, flush_interval_seconds=5.0),
retry=RetryConfig(max_retries=3, retry_delay_seconds=1.0),
on_error=on_error,
)
logger = VedaTrace("YOUR_API_KEY", service="your-service", config=config)Configuration Options
api_key(str): Your VedaTrace API key.service(str): A default name for your service or application.console_enabled(bool): Whether to enable the console transport.batching(BatchingConfig): Configuration for batching logs.retry(RetryConfig): Configuration for retrying failed requests.on_error(Callable): A callback function for handling errors.transports(list): A list of custom transports to use.