ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter9/browser-use-rpa/browser-use/browser_use/observability.py

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+# @file purpose: Observability module for browser-use that handles optional lmnr integration with debug mode support
+"""
+Observability module for browser-use
+
+This module provides observability decorators that optionally integrate with lmnr (Laminar) for tracing.
+If lmnr is not installed, it provides no-op wrappers that accept the same parameters.
+
+Features:
+- Optional lmnr integration - works with or without lmnr installed
+- Debug mode support - observe_debug only traces when in debug mode
+- Full parameter compatibility with lmnr observe decorator
+- No-op fallbacks when lmnr is unavailable
+"""
+
+import logging
+import os
+from collections.abc import Callable
+from functools import wraps
+from typing import Any, Literal, TypeVar, cast
+
+logger = logging.getLogger(__name__)
+from dotenv import load_dotenv
+
+load_dotenv()
+
+# Type definitions
+F = TypeVar('F', bound=Callable[..., Any])
+
+
+# Check if we're in debug mode
+def _is_debug_mode() -> bool:
+	"""Check if we're in debug mode based on environment variables or logging level."""
+
+	lmnr_debug_mode = os.getenv('LMNR_LOGGING_LEVEL', '').lower()
+	if lmnr_debug_mode == 'debug':
+		# logger.info('Debug mode is enabled for observability')
+		return True
+	# logger.info('Debug mode is disabled for observability')
+	return False
+
+
+# Try to import lmnr observe
+_LMNR_AVAILABLE = False
+_lmnr_observe = None
+
+try:
+	from lmnr import observe as _lmnr_observe  # type: ignore
+
+	if os.environ.get('BROWSER_USE_VERBOSE_OBSERVABILITY', 'false').lower() == 'true':
+		logger.debug('Lmnr is available for observability')
+	_LMNR_AVAILABLE = True
+except ImportError:
+	if os.environ.get('BROWSER_USE_VERBOSE_OBSERVABILITY', 'false').lower() == 'true':
+		logger.debug('Lmnr is not available for observability')
+	_LMNR_AVAILABLE = False
+
+
+def _create_no_op_decorator(
+	name: str | None = None,
+	ignore_input: bool = False,
+	ignore_output: bool = False,
+	metadata: dict[str, Any] | None = None,
+	**kwargs: Any,
+) -> Callable[[F], F]:
+	"""Create a no-op decorator that accepts all lmnr observe parameters but does nothing."""
+	import asyncio
+
+	def decorator(func: F) -> F:
+		if asyncio.iscoroutinefunction(func):
+
+			@wraps(func)
+			async def async_wrapper(*args, **kwargs):
+				return await func(*args, **kwargs)
+
+			return cast(F, async_wrapper)
+		else:
+
+			@wraps(func)
+			def sync_wrapper(*args, **kwargs):
+				return func(*args, **kwargs)
+
+			return cast(F, sync_wrapper)
+
+	return decorator
+
+
+def observe(
+	name: str | None = None,
+	ignore_input: bool = False,
+	ignore_output: bool = False,
+	metadata: dict[str, Any] | None = None,
+	span_type: Literal['DEFAULT', 'LLM', 'TOOL'] = 'DEFAULT',
+	**kwargs: Any,
+) -> Callable[[F], F]:
+	"""
+	Observability decorator that traces function execution when lmnr is available.
+
+	This decorator will use lmnr's observe decorator if lmnr is installed,
+	otherwise it will be a no-op that accepts the same parameters.
+
+	Args:
+	    name: Name of the span/trace
+	    ignore_input: Whether to ignore function input parameters in tracing
+	    ignore_output: Whether to ignore function output in tracing
+	    metadata: Additional metadata to attach to the span
+	    **kwargs: Additional parameters passed to lmnr observe
+
+	Returns:
+	    Decorated function that may be traced depending on lmnr availability
+
+	Example:
+	    @observe(name="my_function", metadata={"version": "1.0"})
+	    def my_function(param1, param2):
+	        return param1 + param2
+	"""
+	kwargs = {
+		'name': name,
+		'ignore_input': ignore_input,
+		'ignore_output': ignore_output,
+		'metadata': metadata,
+		'span_type': span_type,
+		**kwargs,
+	}
+
+	if _LMNR_AVAILABLE and _lmnr_observe:
+		# Use the real lmnr observe decorator
+		return cast(Callable[[F], F], _lmnr_observe(**kwargs))
+	else:
+		# Use no-op decorator
+		return _create_no_op_decorator(**kwargs)
+
+
+def observe_debug(
+	name: str | None = None,
+	ignore_input: bool = False,
+	ignore_output: bool = False,
+	metadata: dict[str, Any] | None = None,
+	span_type: Literal['DEFAULT', 'LLM', 'TOOL'] = 'DEFAULT',
+	**kwargs: Any,
+) -> Callable[[F], F]:
+	"""
+	Debug-only observability decorator that only traces when in debug mode.
+
+	This decorator will use lmnr's observe decorator if both lmnr is installed
+	AND we're in debug mode, otherwise it will be a no-op.
+
+	Debug mode is determined by:
+	- DEBUG environment variable set to 1/true/yes/on
+	- BROWSER_USE_DEBUG environment variable set to 1/true/yes/on
+	- Root logging level set to DEBUG or lower
+
+	Args:
+	    name: Name of the span/trace
+	    ignore_input: Whether to ignore function input parameters in tracing
+	    ignore_output: Whether to ignore function output in tracing
+	    metadata: Additional metadata to attach to the span
+	    **kwargs: Additional parameters passed to lmnr observe
+
+	Returns:
+	    Decorated function that may be traced only in debug mode
+
+	Example:
+	    @observe_debug(ignore_input=True, ignore_output=True,name="debug_function", metadata={"debug": True})
+	    def debug_function(param1, param2):
+	        return param1 + param2
+	"""
+	kwargs = {
+		'name': name,
+		'ignore_input': ignore_input,
+		'ignore_output': ignore_output,
+		'metadata': metadata,
+		'span_type': span_type,
+		**kwargs,
+	}
+
+	if _LMNR_AVAILABLE and _lmnr_observe and _is_debug_mode():
+		# Use the real lmnr observe decorator only in debug mode
+		return cast(Callable[[F], F], _lmnr_observe(**kwargs))
+	else:
+		# Use no-op decorator (either not in debug mode or lmnr not available)
+		return _create_no_op_decorator(**kwargs)
+
+
+# Convenience functions for checking availability and debug status
+def is_lmnr_available() -> bool:
+	"""Check if lmnr is available for tracing."""
+	return _LMNR_AVAILABLE
+
+
+def is_debug_mode() -> bool:
+	"""Check if we're currently in debug mode."""
+	return _is_debug_mode()
+
+
+def get_observability_status() -> dict[str, bool]:
+	"""Get the current status of observability features."""
+	return {
+		'lmnr_available': _LMNR_AVAILABLE,
+		'debug_mode': _is_debug_mode(),
+		'observe_active': _LMNR_AVAILABLE,
+		'observe_debug_active': _LMNR_AVAILABLE and _is_debug_mode(),
+	}