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- `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)`
23 lines
764 B
Python
23 lines
764 B
Python
"""Test Minimax API wrapper."""
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from langchain_community.llms.minimax import Minimax
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def test_minimax_call() -> None:
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"""Test valid call to minimax."""
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llm = Minimax(max_tokens=10)
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output = llm.invoke("Hello world!")
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assert isinstance(output, str)
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def test_minimax_call_successful() -> None:
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"""Test valid call to minimax."""
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llm = Minimax()
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output = llm.invoke(
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"A chain is a serial assembly of connected pieces, called links, \
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typically made of metal, with an overall character similar to that\
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of a rope in that it is flexible and curved in compression but \
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linear, rigid, and load-bearing in tension. A chain may consist\
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of two or more links."
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)
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assert isinstance(output, str)
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