Merge branch 'master' into mdrxy/fix-pydantic-2-7

libs/langchain/langchain/chains/base.py

@@ -750,11 +750,11 @@ class Chain(RunnableSerializable[dict[str, Any], dict[str, Any]], ABC):
         Example:
             .. code-block:: python
 
-                chain.dict(exclude_unset=True)
+                chain.model_dump(exclude_unset=True)
                 # -> {"_type": "foo", "verbose": False, ...}
 
         """
-        _dict = super().dict(**kwargs)
+        _dict = super().model_dump(**kwargs)
         with contextlib.suppress(NotImplementedError):
             _dict["_type"] = self._chain_type
         return _dict
@@ -779,7 +779,7 @@ class Chain(RunnableSerializable[dict[str, Any], dict[str, Any]], ABC):
             raise ValueError(msg)
 
         # Fetch dictionary to save
-        chain_dict = self.dict()
+        chain_dict = self.model_dump()
         if "_type" not in chain_dict:
             msg = f"Chain {self} does not support saving."
             raise NotImplementedError(msg)

libs/partners/openai/tests/unit_tests/chat_models/test_azure.py

@@ -40,8 +40,8 @@ def test_initialize_more() -> None:
     assert llm.temperature == 0
 
     ls_params = llm._get_ls_params()
-    assert ls_params["ls_provider"] == "azure"
-    assert ls_params["ls_model_name"] == "gpt-35-turbo-0125"
+    assert ls_params.get("ls_provider") == "azure"
+    assert ls_params.get("ls_model_name") == "gpt-35-turbo-0125"
 
 
 def test_initialize_azure_openai_with_openai_api_base_set() -> None:

libs/partners/xai/tests/unit_tests/test_chat_models.py

@@ -34,7 +34,7 @@ def test_xai_model_param() -> None:
     llm = ChatXAI(model_name="foo")  # type: ignore[call-arg]
     assert llm.model_name == "foo"
     ls_params = llm._get_ls_params()
-    assert ls_params["ls_provider"] == "xai"
+    assert ls_params.get("ls_provider") == "xai"
 
 
 def test_chat_xai_invalid_streaming_params() -> None: