mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
d96f67b06f
- Refactor standard test classes to make them easier to configure - Update openai to support stop_sequences init param - Update groq to support stop_sequences init param - Update fireworks to support max_retries init param - Update ChatModel.bind_tools to type tool_choice - Update groq to handle tool_choice="any". **this may be controversial** --------- Co-authored-by: Chester Curme <chester.curme@gmail.com>
49 lines
1.3 KiB
Python
49 lines
1.3 KiB
Python
"""Standard LangChain interface tests"""
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import time
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from typing import Type
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import pytest
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from langchain_core.language_models import BaseChatModel
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from langchain_standard_tests.integration_tests import ChatModelIntegrationTests
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from langchain_ai21 import ChatAI21
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class BaseTestAI21(ChatModelIntegrationTests):
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def teardown(self) -> None:
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# avoid getting rate limited
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time.sleep(1)
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@property
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def chat_model_class(self) -> Type[BaseChatModel]:
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return ChatAI21
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@pytest.mark.xfail(reason="Emits AIMessage instead of AIMessageChunk.")
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def test_stream(self, model: BaseChatModel) -> None:
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super().test_stream(model)
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@pytest.mark.xfail(reason="Emits AIMessage instead of AIMessageChunk.")
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async def test_astream(self, model: BaseChatModel) -> None:
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await super().test_astream(model)
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@pytest.mark.xfail(reason="Not implemented.")
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def test_usage_metadata(self, model: BaseChatModel) -> None:
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super().test_usage_metadata(model)
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class TestAI21J2(BaseTestAI21):
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@property
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def chat_model_params(self) -> dict:
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return {
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"model": "j2-ultra",
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}
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class TestAI21Jamba(BaseTestAI21):
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@property
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def chat_model_params(self) -> dict:
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return {
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"model": "jamba-instruct-preview",
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}
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