46 lines
1.3 KiB
Python
46 lines
1.3 KiB
Python
"""Test base LLM functionality."""
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from langchain_core.caches import InMemoryCache
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from langchain_core.outputs import Generation, LLMResult
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from langchain_classic.globals import get_llm_cache, set_llm_cache
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from langchain_classic.llms.base import __all__
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from tests.unit_tests.llms.fake_llm import FakeLLM
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EXPECTED_ALL = [
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"BaseLLM",
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"LLM",
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"BaseLanguageModel",
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]
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def test_all_imports() -> None:
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assert set(__all__) == set(EXPECTED_ALL)
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def test_caching() -> None:
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"""Test caching behavior."""
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set_llm_cache(InMemoryCache())
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llm = FakeLLM()
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params = llm.dict()
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params["stop"] = None
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llm_string = str(sorted([(k, v) for k, v in params.items()]))
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cache = get_llm_cache()
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assert cache is not None
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cache.update("foo", llm_string, [Generation(text="fizz")])
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output = llm.generate(["foo", "bar", "foo"])
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expected_cache_output = [Generation(text="foo")]
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cache_output = cache.lookup("bar", llm_string)
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assert cache_output == expected_cache_output
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set_llm_cache(None)
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expected_generations = [
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[Generation(text="fizz")],
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[Generation(text="foo")],
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[Generation(text="fizz")],
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]
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expected_output = LLMResult(
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generations=expected_generations,
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llm_output=None,
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)
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assert output == expected_output
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