mirror of
https://github.com/hwchase17/langchain
synced 2024-11-16 06:13:16 +00:00
481d3855dc
- `llm(prompt)` -> `llm.invoke(prompt)`
- `llm(prompt=prompt` -> `llm.invoke(prompt)` (same with `messages=`)
- `llm(prompt, callbacks=callbacks)` -> `llm.invoke(prompt,
config={"callbacks": callbacks})`
- `llm(prompt, **kwargs)` -> `llm.invoke(prompt, **kwargs)`
29 lines
936 B
Python
29 lines
936 B
Python
"""Test GooseAI API wrapper."""
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from langchain_community.llms.gooseai import GooseAI
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def test_gooseai_call() -> None:
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"""Test valid call to gooseai."""
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llm = GooseAI(max_tokens=10)
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output = llm.invoke("Say foo:")
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assert isinstance(output, str)
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def test_gooseai_call_fairseq() -> None:
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"""Test valid call to gooseai with fairseq model."""
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llm = GooseAI(model_name="fairseq-1-3b", max_tokens=10)
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output = llm.invoke("Say foo:")
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assert isinstance(output, str)
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def test_gooseai_stop_valid() -> None:
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"""Test gooseai stop logic on valid configuration."""
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query = "write an ordered list of five items"
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first_llm = GooseAI(stop="3", temperature=0)
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first_output = first_llm.invoke(query)
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second_llm = GooseAI(temperature=0)
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second_output = second_llm.invoke(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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