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langchain/libs/partners/groq/tests/integration_tests/test_standard.py

57 lines
1.7 KiB
Python

"""Standard LangChain interface tests"""
from typing import Type
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_standard_tests.integration_tests import ( # type: ignore[import-not-found]
ChatModelIntegrationTests, # type: ignore[import-not-found]
)
from langchain_groq import ChatGroq
class BaseTestGroq(ChatModelIntegrationTests):
@property
def chat_model_class(self) -> Type[BaseChatModel]:
return ChatGroq
@pytest.mark.xfail(reason="Not yet implemented.")
def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None:
super().test_tool_message_histories_list_content(model)
class TestGroqMixtral(BaseTestGroq):
@property
def chat_model_params(self) -> dict:
return {
"temperature": 0,
}
@pytest.mark.xfail(
reason=("Fails with 'Failed to call a function. Please adjust your prompt.'")
)
def test_structured_output(self, model: BaseChatModel) -> None:
super().test_structured_output(model)
@pytest.mark.xfail(
reason=("May pass arguments: {'properties': {}, 'type': 'object'}")
)
def test_tool_calling_with_no_arguments(self, model: BaseChatModel) -> None:
super().test_tool_calling_with_no_arguments(model)
class TestGroqLlama(BaseTestGroq):
@property
def chat_model_params(self) -> dict:
return {
"model": "llama3-8b-8192",
"temperature": 0,
}
@pytest.mark.xfail(
reason=("Fails with 'Failed to call a function. Please adjust your prompt.'")
)
def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None:
super().test_tool_message_histories_string_content(model)