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@ -158,7 +158,7 @@ async def _log_usage_async(
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end_time: datetime,
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):
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"""Asynchronously log function usage to Redis.
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Args:
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function_name: Name of the function being logged.
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log_type: Type of log entry (e.g., "api_endpoint", "mcp_tool", "function").
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@ -167,9 +167,10 @@ async def _log_usage_async(
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result: Function return value (will be sanitized).
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success: Whether the function executed successfully.
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error: Error message if function failed, None otherwise.
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duration_ms: Execution duration in milliseconds.
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start_time: Function start timestamp.
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end_time: Function end timestamp.
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Note:
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This function silently handles errors to avoid disrupting the original
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function execution. Logs are written to Redis with TTL from config.
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@ -247,13 +248,13 @@ def log_usage(function_name: Optional[str] = None, log_type: str = "function"):
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def decorator(func: Callable) -> Callable:
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"""Inner decorator that wraps the function with usage logging.
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Args:
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func: The async function to wrap with usage logging.
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Returns:
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Callable: The wrapped function with usage logging enabled.
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Raises:
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UsageLoggerError: If the function is not async.
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"""
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@ -265,20 +266,20 @@ def log_usage(function_name: Optional[str] = None, log_type: str = "function"):
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@wraps(func)
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async def async_wrapper(*args, **kwargs):
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"""Wrapper function that executes the original function and logs usage.
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This wrapper:
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- Extracts user ID and parameters from function arguments
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- Executes the original function
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- Captures result, success status, and any errors
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- Logs usage information asynchronously without blocking
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Args:
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*args: Positional arguments passed to the original function.
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**kwargs: Keyword arguments passed to the original function.
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Returns:
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Any: The return value of the original function.
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Raises:
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Any exception raised by the original function (re-raised after logging).
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"""
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