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2026-07-13 11:58:32 +08:00

46 lines
1.3 KiB
Python

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