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import pytest
from litellm import acompletion
from litellm import completion
def test_acompletion_params():
import inspect
from litellm.types.completion import CompletionRequest
acompletion_params_odict = inspect.signature(acompletion).parameters
completion_params_dict = inspect.signature(completion).parameters
acompletion_params = {
name: param.annotation for name, param in acompletion_params_odict.items()
}
completion_params = {
name: param.annotation for name, param in completion_params_dict.items()
}
keys_acompletion = set(acompletion_params.keys())
keys_completion = set(completion_params.keys())
print(keys_acompletion)
print("\n\n\n")
print(keys_completion)
print("diff=", keys_completion - keys_acompletion)
# Assert that the parameters are the same
if keys_acompletion != keys_completion:
pytest.fail(
"The parameters of the litellm.acompletion function and litellm.completion are not the same. "
f"Completion has extra keys: {keys_completion - keys_acompletion}"
)
# test_acompletion_params()
@pytest.mark.asyncio
async def test_langfuse_double_logging():
import litellm
litellm.set_verbose = True
litellm.success_callback = ["langfuse"]
litellm.failure_callback = ["langfuse"] # logs errors to langfuse
models = ["gpt-4o-mini", "claude-3-5-haiku-20241022"]
messages = [
{"role": "user", "content": "Hello, how are you?"},
]
resp = await litellm.acompletion(
model=models[0],
messages=messages,
temperature=0.0,
fallbacks=models[1:],
# metadata={"generation_name": "test-gen", "project": "litellm-test"},
)
return resp
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