mirror of
https://github.com/hwchase17/langchain
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77 lines
2.5 KiB
Python
77 lines
2.5 KiB
Python
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"""Test PromptLayer OpenAI API wrapper."""
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from pathlib import Path
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from typing import Generator
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import pytest
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from langchain.llms.loading import load_llm
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from langchain.llms.promptlayer_openai import PromptLayerOpenAI
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def test_promptlayer_openai_call() -> None:
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"""Test valid call to promptlayer openai."""
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llm = PromptLayerOpenAI(max_tokens=10)
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output = llm("Say foo:")
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assert isinstance(output, str)
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def test_promptlayer_openai_extra_kwargs() -> None:
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"""Test extra kwargs to promptlayer openai."""
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# Check that foo is saved in extra_kwargs.
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llm = PromptLayerOpenAI(foo=3, max_tokens=10)
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assert llm.max_tokens == 10
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assert llm.model_kwargs == {"foo": 3}
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# Test that if extra_kwargs are provided, they are added to it.
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llm = PromptLayerOpenAI(foo=3, model_kwargs={"bar": 2})
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assert llm.model_kwargs == {"foo": 3, "bar": 2}
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# Test that if provided twice it errors
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with pytest.raises(ValueError):
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PromptLayerOpenAI(foo=3, model_kwargs={"foo": 2})
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def test_promptlayer_openai_stop_valid() -> None:
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"""Test promptlayer openai stop logic on valid configuration."""
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query = "write an ordered list of five items"
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first_llm = PromptLayerOpenAI(stop="3", temperature=0)
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first_output = first_llm(query)
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second_llm = PromptLayerOpenAI(temperature=0)
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second_output = second_llm(query, stop=["3"])
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# Because it stops on new lines, shouldn't return anything
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assert first_output == second_output
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def test_promptlayer_openai_stop_error() -> None:
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"""Test promptlayer openai stop logic on bad configuration."""
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llm = PromptLayerOpenAI(stop="3", temperature=0)
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with pytest.raises(ValueError):
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llm("write an ordered list of five items", stop=["\n"])
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def test_saving_loading_llm(tmp_path: Path) -> None:
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"""Test saving/loading an promptlayer OpenAPI LLM."""
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llm = PromptLayerOpenAI(max_tokens=10)
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llm.save(file_path=tmp_path / "openai.yaml")
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loaded_llm = load_llm(tmp_path / "openai.yaml")
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assert loaded_llm == llm
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def test_promptlayer_openai_streaming() -> None:
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"""Test streaming tokens from promptalyer OpenAI."""
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llm = PromptLayerOpenAI(max_tokens=10)
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generator = llm.stream("I'm Pickle Rick")
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assert isinstance(generator, Generator)
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for token in generator:
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assert isinstance(token["choices"][0]["text"], str)
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def test_promptlayer_openai_streaming_error() -> None:
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"""Test error handling in stream."""
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llm = PromptLayerOpenAI(best_of=2)
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with pytest.raises(ValueError):
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llm.stream("I'm Pickle Rick")
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