tests[patch]: update API ref for chat models (#28594)

docs/docs/contributing/how_to/integrations/standard_tests.ipynb

@@ -230,7 +230,9 @@
     "\n",
     "Tests for \"optional\" capabilities are controlled via a set of properties that can be overridden on the test model subclass.\n",
     "\n",
-    "You can see the entire list of properties in the API reference [here](https://python.langchain.com/api_reference/standard_tests/unit_tests/langchain_tests.unit_tests.chat_models.ChatModelTests.html). These properties are shared by both unit and integration tests.\n",
+    "You can see the entire list of properties in the API references for\n",
+    "[unit tests](https://python.langchain.com/api_reference/standard_tests/unit_tests/langchain_tests.unit_tests.chat_models.ChatModelUnitTests.html)\n",
+    "and [integration tests](https://python.langchain.com/api_reference/standard_tests/integration_tests/langchain_tests.integration_tests.chat_models.ChatModelIntegrationTests.html).\n",
     "\n",
     "For example, to enable integration tests for image inputs, we can implement\n",
     "\n",

libs/standard-tests/langchain_tests/integration_tests/chat_models.py

@@ -145,6 +145,14 @@ def chat_model_params(self) -> dict:
         By default, this is determined by whether the chat model's `bind_tools` method
         is overridden. It typically does not need to be overridden on the test class.
 
+        Example override:
+
+        .. code-block:: python
+
+            @property
+            def has_tool_calling(self) -> bool:
+                return True
+
     .. dropdown:: tool_choice_value
 
         Value to use for tool choice when used in tests.
@@ -308,7 +316,7 @@ def supports_image_tool_message(self) -> bool:
 
     @property
     def standard_chat_model_params(self) -> dict:
-        """:meta private:"""
+        """:private:"""
         return {}
 
     def test_invoke(self, model: BaseChatModel) -> None:
@@ -1323,8 +1331,8 @@ def has_tool_calling(self) -> bool:
             .. code-block:: python
 
                 @pytest.mark.xfail(reason=("Not implemented."))
-                def test_tool_message_histories_string_content(self, model: BaseChatModel) -> None:
-                    super().test_tool_message_histories_string_content(model)
+                def test_tool_message_histories_string_content(self, *args: Any) -> None:
+                    super().test_tool_message_histories_string_content(*args)
         """  # noqa: E501
         if not self.has_tool_calling:
             pytest.skip("Test requires tool calling.")
@@ -1407,8 +1415,8 @@ def has_tool_calling(self) -> bool:
             .. code-block:: python
 
                 @pytest.mark.xfail(reason=("Not implemented."))
-                def test_tool_message_histories_list_content(self, model: BaseChatModel) -> None:
-                    super().test_tool_message_histories_list_content(model)
+                def test_tool_message_histories_list_content(self, *args: Any) -> None:
+                    super().test_tool_message_histories_list_content(*args)
         """  # noqa: E501
         if not self.has_tool_calling:
             pytest.skip("Test requires tool calling.")
@@ -1489,8 +1497,8 @@ def has_tool_calling(self) -> bool:
             .. code-block:: python
 
                 @pytest.mark.xfail(reason=("Not implemented."))
-                def test_structured_few_shot_examples(self, model: BaseChatModel) -> None:
-                    super().test_structured_few_shot_examples(model)
+                def test_structured_few_shot_examples(self, *args: Any) -> None:
+                    super().test_structured_few_shot_examples(*args)
         """  # noqa: E501
         if not self.has_tool_calling:
             pytest.skip("Test requires tool calling.")
@@ -1852,16 +1860,21 @@ def test_message_with_name(self, model: BaseChatModel) -> None:
         assert len(result.content) > 0
 
     def invoke_with_audio_input(self, *, stream: bool = False) -> AIMessage:
+        """:private:"""
         raise NotImplementedError()
 
     def invoke_with_audio_output(self, *, stream: bool = False) -> AIMessage:
+        """:private:"""
         raise NotImplementedError()
 
     def invoke_with_reasoning_output(self, *, stream: bool = False) -> AIMessage:
+        """:private:"""
         raise NotImplementedError()
 
     def invoke_with_cache_read_input(self, *, stream: bool = False) -> AIMessage:
+        """:private:"""
         raise NotImplementedError()
 
     def invoke_with_cache_creation_input(self, *, stream: bool = False) -> AIMessage:
+        """:private:"""
         raise NotImplementedError()

libs/standard-tests/langchain_tests/unit_tests/chat_models.py

@@ -77,17 +77,17 @@ class ChatModelTests(BaseStandardTests):
     @property
     @abstractmethod
     def chat_model_class(self) -> Type[BaseChatModel]:
-        """The chat model class to test, e.g., `ChatParrotLink`."""
+        """The chat model class to test, e.g., ``ChatParrotLink``."""
         ...
 
     @property
     def chat_model_params(self) -> dict:
-        """Initialization parameters for the chat mobdel."""
+        """Initialization parameters for the chat model."""
         return {}
 
     @property
     def standard_chat_model_params(self) -> dict:
-        """:meta private:"""
+        """:private:"""
         return {
             "temperature": 0,
             "max_tokens": 100,
@@ -98,8 +98,7 @@ def standard_chat_model_params(self) -> dict:
 
     @pytest.fixture
     def model(self) -> BaseChatModel:
-        """Fixture that returns an instance of the chat model. Should not be
-        overridden."""
+        """:private:"""
         return self.chat_model_class(
             **{**self.standard_chat_model_params, **self.chat_model_params}
         )
@@ -115,51 +114,49 @@ def my_adder_tool(a: int, b: int) -> int:
 
     @property
     def has_tool_calling(self) -> bool:
-        """Boolean property indicating whether the model supports tool calling."""
+        """(bool) whether the model supports tool calling."""
         return self.chat_model_class.bind_tools is not BaseChatModel.bind_tools
 
     @property
     def tool_choice_value(self) -> Optional[str]:
-        """Value to use for tool choice when used in tests."""
+        """(None or str) to use for tool choice when used in tests."""
         return None
 
     @property
     def has_structured_output(self) -> bool:
-        """Boolean property indicating whether the chat model supports structured
-        output."""
+        """(bool) whether the chat model supports structured output."""
         return (
             self.chat_model_class.with_structured_output
             is not BaseChatModel.with_structured_output
         )
 
     @property
     def supports_image_inputs(self) -> bool:
-        """Boolean property indicating whether the chat model supports image inputs.
-        Defaults to ``False``."""
+        """(bool) whether the chat model supports image inputs, defaults to
+        ``False``."""
         return False
 
     @property
     def supports_video_inputs(self) -> bool:
-        """Boolean property indicating whether the chat model supports image inputs.
-        Defaults to ``False``. No current tests are written for this feature."""
+        """(bool) whether the chat model supports video inputs, efaults to ``False``.
+        No current tests are written for this feature."""
         return False
 
     @property
     def returns_usage_metadata(self) -> bool:
-        """Boolean property indicating whether the chat model returns usage metadata
-        on invoke and streaming responses."""
+        """(bool) whether the chat model returns usage metadata on invoke and streaming
+        responses."""
         return True
 
     @property
     def supports_anthropic_inputs(self) -> bool:
-        """Boolean property indicating whether the chat model supports Anthropic-style
-        inputs."""
+        """(bool) whether the chat model supports Anthropic-style inputs."""
         return False
 
     @property
     def supports_image_tool_message(self) -> bool:
-        """Boolean property indicating whether the chat model supports ToolMessages
-        that include image content."""
+        """(bool) whether the chat model supports ToolMessages that include image
+        content."""
         return False
 
     @property
@@ -177,9 +174,8 @@ def supported_usage_metadata_details(
             ]
         ],
     ]:
-        """Property controlling what usage metadata details are emitted in both invoke
-        and stream. Only needs to be overridden if these details are returned by the
-        model."""
+        """(dict) what usage metadata details are emitted in invoke and stream. Only
+        needs to be overridden if these details are returned by the model."""
         return {"invoke": [], "stream": []}
 
 
@@ -250,6 +246,14 @@ def chat_model_params(self) -> dict:
         By default, this is determined by whether the chat model's `bind_tools` method
         is overridden. It typically does not need to be overridden on the test class.
 
+        Example override:
+
+        .. code-block:: python
+
+            @property
+            def has_tool_calling(self) -> bool:
+                return True
+
     .. dropdown:: tool_choice_value
 
         Value to use for tool choice when used in tests.
@@ -445,17 +449,15 @@ def init_from_env_params(self) -> Tuple[dict, dict, dict]:
 
     @property
     def standard_chat_model_params(self) -> dict:
-        """:meta private:"""
+        """:private:"""
         params = super().standard_chat_model_params
         params["api_key"] = "test"
         return params
 
     @property
     def init_from_env_params(self) -> Tuple[dict, dict, dict]:
-        """This property is used in unit tests to test initialization from environment
-        variables. It should return a tuple of three dictionaries that specify the
-        environment variables, additional initialization args, and expected instance
-        attributes to check."""
+        """(tuple) environment variables, additional initialization args, and expected
+        instance attributes for testing initialization from environment variables."""
         return {}, {}, {}
 
     def test_init(self) -> None: