community[patch]: standardize init args (#20210)

Related to #20085

@baskaryan

libs/community/langchain_community/chat_models/tongyi.py

@@ -160,7 +160,7 @@ def lc_secrets(self) -> Dict[str, str]:
     top_p: float = 0.8
     """Total probability mass of tokens to consider at each step."""
 
-    dashscope_api_key: Optional[SecretStr] = None
+    dashscope_api_key: Optional[SecretStr] = Field(None, alias="api_key")
     """Dashscope api key provide by Alibaba Cloud."""
 
     streaming: bool = False
@@ -169,6 +169,11 @@ def lc_secrets(self) -> Dict[str, str]:
     max_retries: int = 10
     """Maximum number of retries to make when generating."""
 
+    class Config:
+        """Configuration for this pydantic object."""
+
+        allow_population_by_field_name = True
+
     @property
     def _llm_type(self) -> str:
         """Return type of llm."""

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

@@ -1,4 +1,5 @@
 """Test Alibaba Tongyi Chat Model."""
+from typing import cast
 
 from langchain_core.callbacks import CallbackManager
 from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
@@ -10,6 +11,16 @@
 from tests.unit_tests.callbacks.fake_callback_handler import FakeCallbackHandler
 
 
+def test_initialization() -> None:
+    """Test chat model initialization."""
+    for model in [
+        ChatTongyi(model_name="qwen-turbo", api_key="xyz"),
+        ChatTongyi(model="qwen-turbo", dashscope_api_key="xyz"),
+    ]:
+        assert model.model_name == "qwen-turbo"
+        assert cast(SecretStr, model.dashscope_api_key).get_secret_value() == "xyz"
+
+
 def test_api_key_is_string() -> None:
     llm = ChatTongyi(dashscope_api_key="secret-api-key")
     assert isinstance(llm.dashscope_api_key, SecretStr)