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community[patch]:sparkllm standardize init args (#20194)

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Related to https://github.com/langchain-ai/langchain/issues/20085
@baskaryan
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Guangdong Liu 2024-04-14 07:03:19 +08:00 committed by GitHub
parent 7d7a08e458
commit 4be7ca7b4c
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2 changed files with 15 additions and 1 deletions
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7
libs/community/langchain_community/chat_models/sparkllm.py
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@ -141,11 +141,16 @@ class ChatSparkLLM(BaseChatModel):
spark_llm_domain: Optional[str] = None
spark_user_id: str = "lc_user"
streaming: bool = False
request_timeout: int = 30
request_timeout: int = Field(30, alias="timeout")
temperature: float = 0.5
top_k: int = 4
model_kwargs: Dict[str, Any] = Field(default_factory=dict)
class Config:
"""Configuration for this pydantic object."""
allow_population_by_field_name = True
@root_validator(pre=True)
def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
"""Build extra kwargs from additional params that were passed in."""

9
libs/community/tests/integration_tests/chat_models/test_sparkllm.py
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@ -3,6 +3,15 @@ from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage
from langchain_community.chat_models.sparkllm import ChatSparkLLM
def test_initialization() -> None:
"""Test chat model initialization."""
for model in [
ChatSparkLLM(timeout=30),
ChatSparkLLM(request_timeout=30),
]:
assert model.request_timeout == 30
def test_chat_spark_llm() -> None:
chat = ChatSparkLLM()
message = HumanMessage(content="Hello")