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@codeflash-ai codeflash-ai bot commented Nov 13, 2025

📄 3,113% (31.13x) speedup for _can_object_call_vector_stores in litellm/proxy/auth/auth_checks.py

⏱️ Runtime : 10.0 milliseconds 311 microseconds (best of 27 runs)

📝 Explanation and details

The optimized code achieves a 31x speedup through three key improvements:

1. Combined early exit conditions - The original code checked object_permissions is None and object_permissions.vector_stores is None separately. The optimized version combines these into a single condition, reducing redundant attribute access and improving branch prediction.

2. Local variable caching - By storing object_permissions.vector_stores in the local variable vec_stores, the optimization eliminates repeated attribute lookups during the permission checking loop, which is faster than accessing object attributes repeatedly.

3. Adaptive data structure optimization - The most significant improvement converts the allowed vector stores list to a set when both the permission list is large (>16 items) and multiple stores are being checked. This transforms O(N) list membership checks into O(1) set lookups.

Performance impact by test case:

  • Small permission lists (≤16 items): Modest improvements of 5-20% due to reduced attribute access
  • Large permission lists (1000+ items): Dramatic improvements of 4000%+ due to set-based lookups eliminating the quadratic behavior of list membership checks

Real-world impact: Based on the function reference, this optimization is called from vector_store_access_check(), which runs during API request authorization. The adaptive threshold ensures small, typical permission lists aren't penalized by set conversion overhead, while large enterprise deployments with extensive permission lists see massive performance gains. This is particularly valuable in high-throughput proxy scenarios where authorization checks are in the critical path of every vector store operation.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 31 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 100.0%
🌀 Generated Regression Tests and Runtime
import pytest
from litellm.proxy.auth.auth_checks import _can_object_call_vector_stores


# Function and dependency stubs for testing
class ProxyErrorTypes:
    @staticmethod
    def get_vector_store_access_error_type_for_object(object_type):
        # Just return the object_type for simplicity in tests
        return object_type

class ProxyException(Exception):
    def __init__(self, message, type, param, code):
        self.message = message
        self.type = type
        self.param = param
        self.code = code
        super().__init__(message)

class LiteLLM_ObjectPermissionTable:
    def __init__(self, vector_stores=None):
        self.vector_stores = vector_stores
from litellm.proxy.auth.auth_checks import _can_object_call_vector_stores

# ---------------------- UNIT TESTS ----------------------

# Basic Test Cases

def test_permissions_none_all_access():
    # Object permissions is None, should allow all access
    codeflash_output = _can_object_call_vector_stores("key", ["store1", "store2"], None) # 385ns -> 470ns (18.1% slower)

def test_permissions_vector_stores_none_all_access():
    # Object permissions has vector_stores=None, should allow all access
    perms = LiteLLM_ObjectPermissionTable(vector_stores=None)
    codeflash_output = _can_object_call_vector_stores("team", ["storeA", "storeB"], perms) # 528ns -> 501ns (5.39% faster)

def test_permissions_vector_stores_empty_all_access():
    # Object permissions has empty list, should allow all access
    perms = LiteLLM_ObjectPermissionTable(vector_stores=[])
    codeflash_output = _can_object_call_vector_stores("org", ["storeX", "storeY"], perms) # 827ns -> 697ns (18.7% faster)

def test_permissions_vector_stores_subset_access():
    # Object permissions has some stores, all requested stores are allowed
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["store1", "store2"])
    codeflash_output = _can_object_call_vector_stores("key", ["store1"], perms) # 1.04μs -> 1.18μs (11.8% slower)
    codeflash_output = _can_object_call_vector_stores("key", ["store2"], perms) # 555ns -> 665ns (16.5% slower)
    codeflash_output = _can_object_call_vector_stores("key", ["store1", "store2"], perms) # 466ns -> 475ns (1.89% slower)

def test_permissions_vector_stores_exact_access():
    # Object permissions has only one store, only that store is allowed
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["storeA"])
    codeflash_output = _can_object_call_vector_stores("team", ["storeA"], perms) # 934ns -> 1.07μs (12.5% slower)

def test_permissions_vector_stores_empty_requested():
    # No vector stores requested, should allow (no check needed)
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["store1"])
    codeflash_output = _can_object_call_vector_stores("key", [], perms) # 835ns -> 978ns (14.6% slower)

# Edge Test Cases




def test_permissions_vector_stores_duplicate_requested():
    # Requesting the same store multiple times should not affect outcome
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["store1", "store2"])
    codeflash_output = _can_object_call_vector_stores("key", ["store1", "store1"], perms) # 1.23μs -> 1.35μs (8.73% slower)

def test_permissions_vector_stores_empty_permission_and_request():
    # Both permissions and request are empty
    perms = LiteLLM_ObjectPermissionTable(vector_stores=[])
    codeflash_output = _can_object_call_vector_stores("org", [], perms) # 799ns -> 729ns (9.60% faster)

def test_permissions_vector_stores_none_permission_and_empty_request():
    # Permissions None, empty request
    codeflash_output = _can_object_call_vector_stores("team", [], None) # 445ns -> 471ns (5.52% slower)



def test_permissions_vector_stores_large_allowed_list():
    # Large allowed list, all requested stores are allowed
    allowed = [f"store{i}" for i in range(1000)]
    perms = LiteLLM_ObjectPermissionTable(vector_stores=allowed)
    requested = [f"store{i}" for i in range(1000)]
    codeflash_output = _can_object_call_vector_stores("org", requested, perms) # 3.32ms -> 88.2μs (3660% faster)


def test_permissions_vector_stores_large_requested_list_all_allowed():
    # Large requested list, all stores allowed
    allowed = [f"store{i}" for i in range(1000)]
    perms = LiteLLM_ObjectPermissionTable(vector_stores=allowed)
    requested = allowed.copy()
    codeflash_output = _can_object_call_vector_stores("key", requested, perms) # 3.27ms -> 66.8μs (4797% faster)

def test_permissions_vector_stores_large_requested_list_empty_permissions():
    # Large requested list, permissions empty (should allow all)
    perms = LiteLLM_ObjectPermissionTable(vector_stores=[])
    requested = [f"store{i}" for i in range(1000)]
    codeflash_output = _can_object_call_vector_stores("org", requested, perms) # 808ns -> 668ns (21.0% faster)

def test_permissions_vector_stores_large_requested_list_permissions_none():
    # Large requested list, permissions None (should allow all)
    perms = None
    requested = [f"store{i}" for i in range(1000)]
    codeflash_output = _can_object_call_vector_stores("team", requested, perms) # 401ns -> 441ns (9.07% slower)

def test_permissions_vector_stores_large_requested_list_permissions_vector_stores_none():
    # Large requested list, permissions.vector_stores None (should allow all)
    perms = LiteLLM_ObjectPermissionTable(vector_stores=None)
    requested = [f"store{i}" for i in range(1000)]
    codeflash_output = _can_object_call_vector_stores("key", requested, perms) # 533ns -> 537ns (0.745% slower)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
from typing import List, Literal, Optional

# imports
import pytest  # used for our unit tests
from litellm.proxy.auth.auth_checks import _can_object_call_vector_stores


# --- Minimal stubs for external dependencies ---
class ProxyErrorTypes:
    @staticmethod
    def get_vector_store_access_error_type_for_object(object_type):
        return f"{object_type}_vector_store_access_error"

class ProxyException(Exception):
    def __init__(self, message, type, param, code):
        super().__init__(message)
        self.message = message
        self.type = type
        self.param = param
        self.code = code

class LiteLLM_ObjectPermissionTable:
    def __init__(self, vector_stores: Optional[List[str]]):
        self.vector_stores = vector_stores
from litellm.proxy.auth.auth_checks import _can_object_call_vector_stores

# --- Unit Tests ---

# Basic Test Cases

def test_permissions_none_all_access():
    # If object_permissions is None, any vector store ID should be allowed
    codeflash_output = _can_object_call_vector_stores("key", ["vs1", "vs2"], None) # 469ns -> 513ns (8.58% slower)

def test_vector_stores_none_all_access():
    # If object_permissions.vector_stores is None, any vector store ID should be allowed
    perms = LiteLLM_ObjectPermissionTable(vector_stores=None)
    codeflash_output = _can_object_call_vector_stores("org", ["vs1", "vs2"], perms) # 481ns -> 491ns (2.04% slower)

def test_vector_stores_empty_list_all_access():
    # If object_permissions.vector_stores is empty, any vector store ID should be allowed
    perms = LiteLLM_ObjectPermissionTable(vector_stores=[])
    codeflash_output = _can_object_call_vector_stores("team", ["vs1", "vs2"], perms) # 784ns -> 668ns (17.4% faster)

def test_vector_stores_exact_match():
    # If object_permissions.vector_stores has specific IDs, only those should be allowed
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["vs1", "vs2"])
    codeflash_output = _can_object_call_vector_stores("key", ["vs1"], perms) # 1.02μs -> 1.17μs (12.9% slower)
    codeflash_output = _can_object_call_vector_stores("key", ["vs2"], perms) # 548ns -> 580ns (5.52% slower)
    codeflash_output = _can_object_call_vector_stores("key", ["vs1", "vs2"], perms) # 459ns -> 477ns (3.77% slower)

def test_vector_stores_multiple_ids_all_allowed():
    # All requested IDs are in the allowed list
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["vs1", "vs2", "vs3"])
    codeflash_output = _can_object_call_vector_stores("org", ["vs1", "vs2", "vs3"], perms) # 1.22μs -> 1.41μs (13.6% slower)

# Edge Test Cases



def test_vector_stores_empty_requested_ids():
    # If vector_store_ids_to_run is empty, should succeed regardless of permissions
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["vs1", "vs2"])
    codeflash_output = _can_object_call_vector_stores("key", [], perms) # 1.06μs -> 1.17μs (9.66% slower)

def test_vector_stores_allowed_list_has_duplicates():
    # Allowed list contains duplicates; should still work
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["vs1", "vs1", "vs2"])
    codeflash_output = _can_object_call_vector_stores("team", ["vs1"], perms) # 1.09μs -> 1.20μs (8.94% slower)
    codeflash_output = _can_object_call_vector_stores("team", ["vs2"], perms) # 578ns -> 640ns (9.69% slower)

def test_vector_stores_requested_list_has_duplicates():
    # Requested list contains duplicates; should still work
    perms = LiteLLM_ObjectPermissionTable(vector_stores=["vs1", "vs2"])
    codeflash_output = _can_object_call_vector_stores("org", ["vs1", "vs1"], perms) # 1.04μs -> 1.13μs (8.38% slower)






def test_large_allowed_list_all_access():
    # Large allowed list, all requested IDs present
    allowed = [f"vs{i}" for i in range(1000)]
    requested = [f"vs{i}" for i in range(1000)]
    perms = LiteLLM_ObjectPermissionTable(vector_stores=allowed)
    codeflash_output = _can_object_call_vector_stores("org", requested, perms) # 3.34ms -> 81.2μs (4008% faster)


def test_large_requested_list_all_allowed():
    # Large requested list, all IDs allowed
    allowed = [f"vs{i}" for i in range(10)]
    requested = [f"vs{i}" for i in range(10)] * 99  # 990 elements
    perms = LiteLLM_ObjectPermissionTable(vector_stores=allowed)
    codeflash_output = _can_object_call_vector_stores("team", requested, perms) # 59.3μs -> 52.7μs (12.5% faster)


def test_large_allowed_list_empty_requested():
    # Large allowed list, empty requested list
    allowed = [f"vs{i}" for i in range(1000)]
    perms = LiteLLM_ObjectPermissionTable(vector_stores=allowed)
    codeflash_output = _can_object_call_vector_stores("key", [], perms) # 1.09μs -> 1.38μs (20.8% slower)

def test_large_allowed_list_empty_strings():
    # Large allowed list with empty strings, requested list with empty string
    allowed = [""] * 1000
    perms = LiteLLM_ObjectPermissionTable(vector_stores=allowed)
    codeflash_output = _can_object_call_vector_stores("team", [""], perms) # 1.11μs -> 1.37μs (19.0% slower)
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.

To edit these changes git checkout codeflash/optimize-_can_object_call_vector_stores-mhx36s8m and push.

Codeflash Static Badge

The optimized code achieves a **31x speedup** through three key improvements:

**1. Combined early exit conditions** - The original code checked `object_permissions is None` and `object_permissions.vector_stores is None` separately. The optimized version combines these into a single condition, reducing redundant attribute access and improving branch prediction.

**2. Local variable caching** - By storing `object_permissions.vector_stores` in the local variable `vec_stores`, the optimization eliminates repeated attribute lookups during the permission checking loop, which is faster than accessing object attributes repeatedly.

**3. Adaptive data structure optimization** - The most significant improvement converts the allowed vector stores list to a `set` when both the permission list is large (>16 items) and multiple stores are being checked. This transforms O(N) list membership checks into O(1) set lookups.

**Performance impact by test case:**
- Small permission lists (≤16 items): Modest improvements of 5-20% due to reduced attribute access
- Large permission lists (1000+ items): Dramatic improvements of 4000%+ due to set-based lookups eliminating the quadratic behavior of list membership checks

**Real-world impact:** Based on the function reference, this optimization is called from `vector_store_access_check()`, which runs during API request authorization. The adaptive threshold ensures small, typical permission lists aren't penalized by set conversion overhead, while large enterprise deployments with extensive permission lists see massive performance gains. This is particularly valuable in high-throughput proxy scenarios where authorization checks are in the critical path of every vector store operation.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 13, 2025 07:07
@codeflash-ai codeflash-ai bot added ⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash labels Nov 13, 2025
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⚡️ codeflash Optimization PR opened by Codeflash AI 🎯 Quality: High Optimization Quality according to Codeflash

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