⚡️ Speed up method RegistryToolWrapper._execute_class_method by 21%
#1087
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📄 21% (0.21x) speedup for
RegistryToolWrapper._execute_class_methodinbackend/python/app/modules/agents/qna/tool_registry.py⏱️ Runtime :
97.9 microseconds→80.9 microseconds(best of23runs)📝 Explanation and details
The optimized code achieves a 20% speedup through several targeted micro-optimizations that reduce redundant operations and improve module lookup efficiency:
Key Optimizations:
Smarter Parameter Processing: The original code used
getattr(registry_tool, 'parameters', []) or []which performs unnecessary list allocation even when parameters don't exist. The optimized version usesgetattr(registry_tool, 'parameters', None)and only processes parameters if they actually exist, eliminating wasted formatting operations.Module Import Caching: The most significant optimization replaces expensive
__import__calls withsys.moduleslookup. Since Python modules are cached after first import, checkingsys.modulesfirst avoids the costly import machinery when the module is already loaded. The line profiler shows__import__taking 18.4% of execution time in the original version.Optimized String Splitting: Changed
qualname.split('.')toqualname.split('.', 1)to limit splitting to just the first occurrence, avoiding unnecessary string processing when class names contain multiple dots.Local Variable Binding: In
_create_tool_instance_with_factory, frequently accessed instance variables (self.app_name,self.state) are bound to local variables, reducing attribute lookup overhead for repeated access.Improved Exception Handling: Separated import failures from instance creation failures with more specific error messages and distinct try-catch blocks, reducing exception handling overhead.
Performance Impact: The test results show consistent 10-25% improvements across various edge cases, with the optimizations being particularly effective for:
These optimizations are especially valuable since this wrapper appears to be used in tool execution pipelines where it may be called repeatedly, making the cumulative performance gains significant for agent-based applications.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-RegistryToolWrapper._execute_class_method-mja4fy66and push.