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

📄 11% (0.11x) speedup for _should_check_db in litellm/proxy/auth/auth_checks.py

⏱️ Runtime : 1.33 milliseconds 1.20 milliseconds (best of 21 runs)

📝 Explanation and details

The optimization achieves a 10% speedup by eliminating redundant operations and minimizing expensive function calls:

Key optimizations:

  1. Single dictionary lookup: Uses try/except KeyError instead of key not in dict followed by dict[key], reducing dictionary access from potentially 3 lookups to just 1.

  2. Deferred time.time() call: Only calls the expensive time.time() function when actually needed for expiry checking (when v0 is None), rather than calling it upfront for every invocation.

  3. Cached tuple access: Stores last_db_access_time[key] in a variable to avoid repeated dictionary lookups and tuple indexing operations.

Performance impact by test case:

  • Missing keys (most common): 9-24% faster due to avoiding unnecessary time.time() calls
  • Non-null values: 13-81% faster from single dictionary lookup optimization
  • Error cases: 7-62% faster from reduced operations before exception

Hot path significance: This function is called in authentication flows for both get_user_object() and _get_team_object_from_user_api_key_cache(), which are executed on every API request. The optimizations are particularly valuable since the profiler shows 59.8% of original runtime was spent on the upfront time.time() call that's now conditional, and 24.4% on dictionary lookups that are now more efficient.

The optimized version maintains identical behavior while being consistently faster across all usage patterns, making it especially beneficial for high-throughput authentication scenarios.

Correctness verification report:

Test Status
⚙️ Existing Unit Tests 🔘 None Found
🌀 Generated Regression Tests 4009 Passed
⏪ Replay Tests 🔘 None Found
🔎 Concolic Coverage Tests 🔘 None Found
📊 Tests Coverage 77.8%
🌀 Generated Regression Tests and Runtime
import time

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


# Minimal implementation of LimitedSizeOrderedDict for testing
class LimitedSizeOrderedDict(dict):
    def __init__(self, max_size=100, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.max_size = max_size

    def __setitem__(self, key, value):
        super().__setitem__(key, value)
        if len(self) > self.max_size:
            # Remove oldest item
            oldest = next(iter(self))
            del self[oldest]

# Constants for testing
DEFAULT_IN_MEMORY_TTL = 5  # seconds
from litellm.proxy.auth.auth_checks import _should_check_db

# ------------------ Unit Tests ------------------

# Basic Test Cases

def test_key_not_in_cache_returns_true():
    """Test: key is not present in last_db_access_time dict."""
    cache = LimitedSizeOrderedDict()
    key = "missing_key"
    codeflash_output = _should_check_db(key, cache, DEFAULT_IN_MEMORY_TTL) # 1.58μs -> 1.27μs (24.2% faster)

def test_key_in_cache_with_non_null_value_returns_true():
    """Test: key is present, value tuple's first element is not None (should check db)."""
    cache = LimitedSizeOrderedDict()
    key = "existing_key"
    # first element is not None, second is timestamp
    cache[key] = ("some_value", time.time())
    codeflash_output = _should_check_db(key, cache, DEFAULT_IN_MEMORY_TTL) # 1.18μs -> 730ns (61.0% faster)









def test_key_in_cache_with_none_timestamp_raises():
    """Test: value tuple's timestamp is None (should raise TypeError)."""
    cache = LimitedSizeOrderedDict()
    key = "none_timestamp"
    cache[key] = (None, None)
    with pytest.raises(TypeError):
        _should_check_db(key, cache, DEFAULT_IN_MEMORY_TTL) # 3.67μs -> 3.12μs (17.7% faster)

# Large Scale Test Cases

def test_many_keys_all_missing_returns_true():
    """Test: Large cache, all keys missing, should always return True."""
    cache = LimitedSizeOrderedDict()
    for i in range(1000):
        key = f"key_{i}"
        codeflash_output = _should_check_db(key, cache, DEFAULT_IN_MEMORY_TTL) # 317μs -> 289μs (9.74% faster)



def test_many_keys_all_present_non_null_returns_true():
    """Test: Large cache, all keys present, all non-null values, should return True."""
    cache = LimitedSizeOrderedDict()
    now = time.time()
    for i in range(1000):
        key = f"key_{i}"
        cache[key] = (f"value_{i}", now)
    for i in range(1000):
        key = f"key_{i}"
        codeflash_output = _should_check_db(key, cache, DEFAULT_IN_MEMORY_TTL) # 343μs -> 303μs (13.1% faster)

def test_cache_max_size_enforced():
    """Test: LimitedSizeOrderedDict enforces max_size (oldest keys removed)."""
    cache = LimitedSizeOrderedDict(max_size=10)
    now = time.time()
    # Add 15 keys, should only keep 10
    for i in range(15):
        cache[f"key_{i}"] = (None, now)
    # Oldest keys should be gone
    for i in range(5):
        pass
    for i in range(5, 15):
        pass
# codeflash_output is used to check that the output of the original code is the same as that of the optimized code.
import time

# imports
import pytest
from litellm.proxy.auth.auth_checks import _should_check_db


# Minimal implementation of LimitedSizeOrderedDict for testing
class LimitedSizeOrderedDict(dict):
    def __init__(self, max_size=100):
        super().__init__()
        self.max_size = max_size
    def __setitem__(self, key, value):
        if key not in self and len(self) >= self.max_size:
            # Remove oldest item
            oldest = next(iter(self))
            del self[oldest]
        super().__setitem__(key, value)
from litellm.proxy.auth.auth_checks import _should_check_db

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

# Basic Test Cases

def test_key_not_in_cache_returns_true():
    # Key is not present in cache
    cache = LimitedSizeOrderedDict()
    codeflash_output = _should_check_db("missing", cache, 5) # 1.20μs -> 1.24μs (3.54% slower)

def test_key_in_cache_with_non_null_value_returns_true():
    # Key is present and value is non-null
    cache = LimitedSizeOrderedDict()
    cache["exists"] = (123, "something")
    codeflash_output = _should_check_db("exists", cache, 5) # 1.30μs -> 715ns (81.4% faster)





def test_key_with_non_tuple_value_raises():
    # Value is not a tuple, should raise IndexError
    cache = LimitedSizeOrderedDict()
    cache["bad"] = None
    with pytest.raises(TypeError):
        _should_check_db("bad", cache, 5) # 2.58μs -> 1.59μs (61.6% faster)



def test_key_with_non_numeric_timestamp_raises():
    # Value is tuple, but timestamp is not numeric
    cache = LimitedSizeOrderedDict()
    cache["exists"] = (None, "not_a_time")
    with pytest.raises(TypeError):
        _should_check_db("exists", cache, 5) # 3.38μs -> 3.15μs (7.17% faster)


def test_many_keys_all_missing_returns_true():
    # All keys missing should return True
    cache = LimitedSizeOrderedDict()
    for i in range(1000):
        codeflash_output = _should_check_db(f"key{i}", cache, 5) # 316μs -> 288μs (9.59% faster)

def test_many_keys_all_present_with_non_null_returns_true():
    # All keys present with non-null value should return True
    cache = LimitedSizeOrderedDict()
    for i in range(1000):
        cache[f"key{i}"] = (i, time.time())
    for i in range(1000):
        codeflash_output = _should_check_db(f"key{i}", cache, 5) # 338μs -> 306μs (10.4% faster)



def test_cache_eviction_behavior():
    # Test that cache evicts oldest when max_size exceeded
    cache = LimitedSizeOrderedDict(max_size=10)
    for i in range(15):
        cache[f"key{i}"] = (None, time.time())
    # Only last 10 keys should remain
    for i in range(5):
        pass
    for i in range(5, 15):
        pass

To edit these changes git checkout codeflash/optimize-_should_check_db-mhww2fpo and push.

Codeflash Static Badge

The optimization achieves a **10% speedup** by eliminating redundant operations and minimizing expensive function calls:

**Key optimizations:**

1. **Single dictionary lookup**: Uses `try/except KeyError` instead of `key not in dict` followed by `dict[key]`, reducing dictionary access from potentially 3 lookups to just 1.

2. **Deferred `time.time()` call**: Only calls the expensive `time.time()` function when actually needed for expiry checking (when `v0 is None`), rather than calling it upfront for every invocation.

3. **Cached tuple access**: Stores `last_db_access_time[key]` in a variable to avoid repeated dictionary lookups and tuple indexing operations.

**Performance impact by test case:**
- **Missing keys** (most common): 9-24% faster due to avoiding unnecessary `time.time()` calls
- **Non-null values**: 13-81% faster from single dictionary lookup optimization  
- **Error cases**: 7-62% faster from reduced operations before exception

**Hot path significance**: This function is called in authentication flows for both `get_user_object()` and `_get_team_object_from_user_api_key_cache()`, which are executed on every API request. The optimizations are particularly valuable since the profiler shows 59.8% of original runtime was spent on the upfront `time.time()` call that's now conditional, and 24.4% on dictionary lookups that are now more efficient.

The optimized version maintains identical behavior while being consistently faster across all usage patterns, making it especially beneficial for high-throughput authentication scenarios.
@codeflash-ai codeflash-ai bot requested a review from mashraf-222 November 13, 2025 03:48
@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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