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

Related to https://github.com/langchain-ai/langchain/issues/20085
@baskaryan

libs/community/langchain_community/chat_models/sparkllm.py

@@ -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."""

libs/community/tests/integration_tests/chat_models/test_sparkllm.py

@@ -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")