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Here we allow standard tests to specify a value for `tool_choice` via a `tool_choice_value` property, which defaults to None. Chat models [available in Together](https://docs.together.ai/docs/chat-models) have issues passing standard tool calling tests: - llama 3.1 models currently [appear to rely on user-side parsing](https://docs.together.ai/docs/llama-3-function-calling) in Together; - Mixtral-8x7B and Mistral-7B (currently tested) consistently do not call tools in some tests. Specifying tool_choice also lets us remove an existing `xfail` and use a smaller model in Groq tests.
26 lines
765 B
Python
26 lines
765 B
Python
"""Standard LangChain interface tests"""
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from typing import Optional, Type
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from langchain_core.language_models import BaseChatModel
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from langchain_standard_tests.integration_tests import ( # type: ignore[import-not-found]
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ChatModelIntegrationTests, # type: ignore[import-not-found]
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)
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from langchain_mistralai import ChatMistralAI
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class TestMistralStandard(ChatModelIntegrationTests):
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@property
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def chat_model_class(self) -> Type[BaseChatModel]:
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return ChatMistralAI
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@property
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def chat_model_params(self) -> dict:
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return {"model": "mistral-large-latest", "temperature": 0}
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@property
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def tool_choice_value(self) -> Optional[str]:
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"""Value to use for tool choice when used in tests."""
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return "any"
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