⚡️ Speed up function get_role_based_routes by 24%
#442
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📄 24% (0.24x) speedup for
get_role_based_routesinlitellm/proxy/auth/auth_checks.py⏱️ Runtime :
239 microseconds→192 microseconds(best of60runs)📝 Explanation and details
The optimization achieves a 24% speedup by replacing a manual for-loop with Python's built-in
next()function and a generator expression, along with removing unnecessary type casting.Key optimizations applied:
Eliminated unnecessary
cast()operation: Removed thecast(Optional[List[RoleBasedPermissions]], ...)which added overhead without providing runtime benefit.Replaced for-loop with
next()+ generator: Changed from manually iterating throughrole_based_permissionsto usingnext((rbp for rbp in role_based_permissions if rbp.role == rbac_role), None). This leverages Python's optimized C-level implementation and enables short-circuit evaluation - stopping immediately when the first match is found.Simplified truthiness check: Changed
if role_based_permissions is None:toif not role_based_permissions:which handles bothNoneand empty list cases more efficiently.Why this is faster:
next()function with generator expression is implemented in C and optimized for early terminationImpact on workloads:
Based on the function reference,
get_role_based_routes()is called fromcan_rbac_role_call_route()in the JWT authentication flow. This means the optimization affects every authenticated request that uses role-based access control. The test results show especially significant gains (up to 172% faster) for edge cases like empty permissions lists, which are common in misconfigured or initialization scenarios.Test case performance patterns:
This optimization is particularly valuable since authentication happens on the critical path of every API request.
✅ Correctness verification report:
🌀 Generated Regression Tests and Runtime
To edit these changes
git checkout codeflash/optimize-get_role_based_routes-mhwwp3siand push.