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Harrison Chase
28 lines
869 B
Python
28 lines
869 B
Python
"""Test base LLM functionality."""
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import langchain
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from langchain.cache import InMemoryCache
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from langchain.schema import Generation, LLMResult
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from tests.unit_tests.llms.fake_llm import FakeLLM
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def test_caching() -> None:
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"""Test caching behavior."""
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langchain.llm_cache = InMemoryCache()
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llm = FakeLLM()
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params = llm._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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langchain.llm_cache.update("foo", llm_string, [Generation(text="fizz")])
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output = llm.generate(["foo", "bar", "foo"])
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langchain.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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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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