langchain/libs/community/tests/integration_tests/llms/test_minimax.py
ccurme 481d3855dc
patch: remove usage of llm, chat model __call__ (#20788)
- `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)`
2024-04-24 19:39:23 -04:00

23 lines
764 B
Python

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