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44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
"""Standard LangChain interface tests."""
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import pytest
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from langchain_core.language_models import BaseChatModel
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from langchain_tests.unit_tests import ChatModelUnitTests
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from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import-untyped]
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from langchain_anthropic import ChatAnthropic
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_MODEL = "claude-3-haiku-20240307"
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class TestAnthropicStandard(ChatModelUnitTests):
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"""Use the standard chat model unit tests against the `ChatAnthropic` class."""
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@property
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def chat_model_class(self) -> type[BaseChatModel]:
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return ChatAnthropic
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@property
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def chat_model_params(self) -> dict:
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return {"model": _MODEL}
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@property
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def init_from_env_params(self) -> tuple[dict, dict, dict]:
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return (
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{"ANTHROPIC_API_KEY": "test"},
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{"model": _MODEL},
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{"anthropic_api_key": "test"},
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)
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@pytest.mark.benchmark
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def test_init_time_with_client(benchmark: BenchmarkFixture) -> None:
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"""Test initialization time, accounting for lazy loading of client."""
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def _init_in_loop_with_clients() -> None:
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for _ in range(10):
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llm = ChatAnthropic(model="claude-haiku-4-5-20251001")
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_ = llm._client
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_ = llm._async_client
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benchmark(_init_in_loop_with_clients)
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