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community:yuan2[patch]: standardize init args (#21462)

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updated stop and request_timeout so they aliased to stop_sequences, and
timeout respectively. Added test that both continue to set the same
underlying attributes.

Related to
[20085](https://github.com/langchain-ai/langchain/issues/20085)

Co-authored-by: ccurme <chester.curme@gmail.com>
This commit is contained in:
Austin Burdette 2024-08-23 13:56:19 -04:00 committed by GitHub
parent bc557a5663
commit f355a98bb6
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2 changed files with 20 additions and 2 deletions
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6
libs/community/langchain_community/chat_models/yuan2.py
View File

@ -93,7 +93,9 @@ class ChatYuan2(BaseChatModel):
)
"""Base URL path for API requests, an OpenAI compatible API server."""
request_timeout: Optional[Union[float, Tuple[float, float]]] = None
request_timeout: Optional[Union[float, Tuple[float, float]]] = Field(
default=None, alias="timeout"
)
"""Timeout for requests to yuan2 completion API. Default is 600 seconds."""
max_retries: int = 6
@ -111,7 +113,7 @@ class ChatYuan2(BaseChatModel):
top_p: Optional[float] = 0.9
"""The top-p value to use for sampling."""
stop: Optional[List[str]] = ["<eod>"]
stop: Optional[List[str]] = Field(default=["<eod>"], alias="stop_sequences")
"""A list of strings to stop generation when encountered."""
repeat_last_n: Optional[int] = 64

16
libs/community/tests/unit_tests/chat_models/test_yuan2.py
View File

@ -22,6 +22,22 @@ def test_yuan2_model_param() -> None:
assert chat.model_name == "foo"
@pytest.mark.requires("openai")
def test_yuan2_timeout_param() -> None:
chat = ChatYuan2(request_timeout=5) # type: ignore[call-arg]
assert chat.request_timeout == 5
chat = ChatYuan2(timeout=10) # type: ignore[call-arg]
assert chat.request_timeout == 10
@pytest.mark.requires("openai")
def test_yuan2_stop_sequences_param() -> None:
chat = ChatYuan2(stop=["<eod>"]) # type: ignore[call-arg]
assert chat.stop == ["<eod>"]
chat = ChatYuan2(stop_sequences=["<eod>"]) # type: ignore[call-arg]
assert chat.stop == ["<eod>"]
def test__convert_message_to_dict_human() -> None:
message = HumanMessage(content="foo")
result = _convert_message_to_dict(message)