mirror of
https://github.com/hwchase17/langchain
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37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
"""Test LLM chain."""
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import pytest
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from langchain.chains.llm import LLMChain
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from langchain.prompts.prompt import Prompt
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from tests.unit_tests.llms.fake_llm import FakeLLM
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@pytest.fixture
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def fake_llm_chain() -> LLMChain:
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"""Fake LLM chain for testing purposes."""
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prompt = Prompt(input_variables=["bar"], template="This is a {bar}:")
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return LLMChain(prompt=prompt, llm=FakeLLM(), output_key="text1")
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def test_missing_inputs(fake_llm_chain: LLMChain) -> None:
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"""Test error is raised if inputs are missing."""
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with pytest.raises(ValueError):
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fake_llm_chain({"foo": "bar"})
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def test_valid_call(fake_llm_chain: LLMChain) -> None:
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"""Test valid call of LLM chain."""
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output = fake_llm_chain({"bar": "baz"})
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assert output == {"bar": "baz", "text1": "foo"}
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# Test with stop words.
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output = fake_llm_chain({"bar": "baz", "stop": ["foo"]})
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# Response should be `bar` now.
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assert output == {"bar": "baz", "stop": ["foo"], "text1": "bar"}
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def test_predict_method(fake_llm_chain: LLMChain) -> None:
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"""Test predict method works."""
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output = fake_llm_chain.predict(bar="baz")
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assert output == "foo"
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