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7 changes: 7 additions & 0 deletions litellm/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -5135,10 +5135,15 @@ def _invalidate_model_cost_lowercase_map() -> None:
"""Invalidate the case-insensitive lookup map for model_cost.

Call this whenever litellm.model_cost is modified to ensure the map is rebuilt.
Also clears related LRU caches that depend on model_cost data.
"""
global _model_cost_lowercase_map
_model_cost_lowercase_map = None

# Clear LRU caches that depend on model_cost data
get_model_info.cache_clear()
_cached_get_model_info_helper.cache_clear()


def _rebuild_model_cost_lowercase_map() -> Dict[str, str]:
"""Rebuild the case-insensitive lookup map from the current model_cost.
Expand Down Expand Up @@ -5352,6 +5357,7 @@ def _get_max_position_embeddings(model_name: str) -> Optional[int]:
return None


@lru_cache(maxsize=DEFAULT_MAX_LRU_CACHE_SIZE)
def _cached_get_model_info_helper(
model: str, custom_llm_provider: Optional[str]
) -> ModelInfoBase:
Expand Down Expand Up @@ -5699,6 +5705,7 @@ def _get_model_info_helper( # noqa: PLR0915
)


@lru_cache(maxsize=DEFAULT_MAX_LRU_CACHE_SIZE)
def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> ModelInfo:
"""
Get a dict for the maximum tokens (context window), input_cost_per_token, output_cost_per_token for a given model.
Expand Down
6 changes: 4 additions & 2 deletions tests/test_litellm/test_cost_calculator.py
Original file line number Diff line number Diff line change
Expand Up @@ -70,8 +70,6 @@ class MockResponse(BaseModel):


def test_cost_calculator_with_usage(monkeypatch):
from litellm import get_model_info

os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
litellm.model_cost = litellm.get_model_cost_map(url="")

Expand Down Expand Up @@ -123,6 +121,10 @@ def test_cost_calculator_with_usage(monkeypatch):
},
)

# Invalidate caches after modifying litellm.model_cost
from litellm.utils import _invalidate_model_cost_lowercase_map
_invalidate_model_cost_lowercase_map()

result = response_cost_calculator(
response_object=mr,
model="",
Expand Down
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