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Merge branch 'main' into fix/reset-end-user-budget-by-duration

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Laurien 2025-02-12 08:24:06 +01:00 • committed by GitHub
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76
tests/proxy_unit_tests/test_proxy_utils.py
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@ -1639,7 +1639,6 @@ def test_provider_specific_header():
},
}
async def create_budget(session, data):
url = "http://0.0.0.0:4000/budget/new"
headers = {"Authorization": "Bearer sk-1234", "Content-Type": "application/json"}
@ -1858,3 +1857,78 @@ async def test_reset_budget_for_endusers(prisma_client, budget_and_enduser_setup
assert (
budget_y.budget_reset_at == initial_budget_y_reset_at_date
), "Budget Y budget_reset_at should remain unchanged"
@pytest.mark.parametrize(
"wildcard_model, expected_models",
[
(
"anthropic/*",
["anthropic/claude-3-5-haiku-20241022", "anthropic/claude-3-opus-20240229"],
),
(
"vertex_ai/gemini-*",
["vertex_ai/gemini-1.5-flash", "vertex_ai/gemini-1.5-pro"],
),
],
)
def test_get_known_models_from_wildcard(wildcard_model, expected_models):
from litellm.proxy.auth.model_checks import get_known_models_from_wildcard
wildcard_models = get_known_models_from_wildcard(wildcard_model=wildcard_model)
# Check if all expected models are in the returned list
print(f"wildcard_models: {wildcard_models}\n")
for model in expected_models:
if model not in wildcard_models:
print(f"Missing expected model: {model}")
assert all(model in wildcard_models for model in expected_models)
@pytest.mark.parametrize(
"data, user_api_key_dict, expected_model",
[
# Test case 1: Model exists in team aliases
(
{"model": "gpt-4o"},
UserAPIKeyAuth(
api_key="test_key", team_model_aliases={"gpt-4o": "gpt-4o-team-1"}
),
"gpt-4o-team-1",
),
# Test case 2: Model doesn't exist in team aliases
(
{"model": "gpt-4o"},
UserAPIKeyAuth(
api_key="test_key", team_model_aliases={"claude-3": "claude-3-team-1"}
),
"gpt-4o",
),
# Test case 3: No team aliases defined
(
{"model": "gpt-4o"},
UserAPIKeyAuth(api_key="test_key", team_model_aliases=None),
"gpt-4o",
),
# Test case 4: No model in request data
(
{"messages": []},
UserAPIKeyAuth(
api_key="test_key", team_model_aliases={"gpt-4o": "gpt-4o-team-1"}
),
None,
),
],
)
def test_update_model_if_team_alias_exists(data, user_api_key_dict, expected_model):
from litellm.proxy.litellm_pre_call_utils import _update_model_if_team_alias_exists
# Make a copy of the input data to avoid modifying the test parameters
test_data = data.copy()
# Call the function
_update_model_if_team_alias_exists(
data=test_data, user_api_key_dict=user_api_key_dict
)
# Check if model was updated correctly
assert test_data.get("model") == expected_model