core,openai,grow,fw[patch]: deprecate bind_functions, update chat mod…

docs/api_reference/templates/runnable_pydantic.rst

@@ -15,7 +15,7 @@
     :member-order: groupwise
     :show-inheritance: True
     :special-members: __call__
-    :exclude-members: construct, copy, dict, from_orm, parse_file, parse_obj, parse_raw, schema, schema_json, update_forward_refs, validate, json, is_lc_serializable, to_json_not_implemented, lc_secrets, lc_attributes, lc_id, get_lc_namespace, astream_log, transform, atransform, get_output_schema, get_prompts, config_schema, map, pick, pipe, with_listeners, with_alisteners, with_config, with_fallbacks, with_types, with_retry, InputType, OutputType, config_specs, output_schema, get_input_schema, get_graph, get_name, input_schema, name, bind, assign, as_tool, get_config_jsonschema, get_input_jsonschema, get_output_jsonschema, model_construct, model_copy, model_dump, model_dump_json, model_parametrized_name, model_post_init, model_rebuild, model_validate, model_validate_json, model_validate_strings, to_json, model_extra, model_fields_set, model_json_schema
+    :exclude-members: construct, copy, dict, from_orm, parse_file, parse_obj, parse_raw, schema, schema_json, update_forward_refs, validate, json, is_lc_serializable, to_json_not_implemented, lc_secrets, lc_attributes, lc_id, get_lc_namespace, astream_log, transform, atransform, get_output_schema, get_prompts, config_schema, map, pick, pipe, InputType, OutputType, config_specs, output_schema, get_input_schema, get_graph, get_name, input_schema, name, assign, as_tool, get_config_jsonschema, get_input_jsonschema, get_output_jsonschema, model_construct, model_copy, model_dump, model_dump_json, model_parametrized_name, model_post_init, model_rebuild, model_validate, model_validate_json, model_validate_strings, to_json, model_extra, model_fields_set, model_json_schema, predict, apredict, predict_messages, apredict_messages, generate, generate_prompt, agenerate, agenerate_prompt, call_as_llm
 
     .. NOTE:: {{objname}} implements the standard :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>`. 🏃
 

libs/core/langchain_core/_api/deprecation.py

@@ -333,9 +333,26 @@ def finalize(wrapper: Callable[..., Any], new_doc: str) -> T:
             old_doc = ""
 
         # Modify the docstring to include a deprecation notice.
+        if (
+            _alternative
+            and _alternative.split(".")[-1].lower() == _alternative.split(".")[-1]
+        ):
+            _alternative = f":meth:`~{_alternative}`"
+        elif _alternative:
+            _alternative = f":class:`~{_alternative}`"
+
+        if (
+            _alternative_import
+            and _alternative_import.split(".")[-1].lower()
+            == _alternative_import.split(".")[-1]
+        ):
+            _alternative_import = f":meth:`~{_alternative_import}`"
+        elif _alternative_import:
+            _alternative_import = f":class:`~{_alternative_import}`"
+
         components = [
             _message,
-            f"Use ``{_alternative}`` instead." if _alternative else "",
+            f"Use {_alternative} instead." if _alternative else "",
             f"Use ``{_alternative_import}`` instead." if _alternative_import else "",
             _addendum,
         ]

libs/partners/fireworks/langchain_fireworks/chat_models.py

@@ -24,6 +24,7 @@
 )
 
 from fireworks.client import AsyncFireworks, Fireworks  # type: ignore
+from langchain_core._api import deprecated
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -626,6 +627,11 @@ def _llm_type(self) -> str:
         """Return type of chat model."""
         return "fireworks-chat"
 
+    @deprecated(
+        since="0.2.1",
+        alternative="langchain_fireworks.chat_models.ChatFireworks.bind_tools",
+        removal="0.3.0",
+    )
     def bind_functions(
         self,
         functions: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable, BaseTool]],
@@ -705,8 +711,8 @@ def bind_tools(
                 with the option to not call any function, "any" to enforce that some
                 function is called, or a dict of the form:
                 {"type": "function", "function": {"name": <<tool_name>>}}.
-            **kwargs: Any additional parameters to pass to the
-                :class:`~langchain.runnable.Runnable` constructor.
+            **kwargs: Any additional parameters to pass to
+                :meth:`~langchain_fireworks.chat_models.ChatFireworks.bind`
         """
 
         formatted_tools = [convert_to_openai_tool(tool) for tool in tools]

libs/partners/groq/langchain_groq/chat_models.py

@@ -23,6 +23,7 @@
     cast,
 )
 
+from langchain_core._api import deprecated
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -650,6 +651,11 @@ def _combine_llm_outputs(self, llm_outputs: List[Optional[dict]]) -> dict:
             combined["system_fingerprint"] = system_fingerprint
         return combined
 
+    @deprecated(
+        since="0.2.1",
+        alternative="langchain_groq.chat_models.ChatGroq.bind_tools",
+        removal="0.3.0",
+    )
     def bind_functions(
         self,
         functions: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable, BaseTool]],
@@ -674,8 +680,8 @@ def bind_functions(
                 Must be the name of the single provided function or
                 "auto" to automatically determine which function to call
                 (if any).
-            **kwargs: Any additional parameters to pass to the
-                :class:`~langchain.runnable.Runnable` constructor.
+            **kwargs: Any additional parameters to pass to
+                :meth:`~langchain_groq.chat_models.ChatGroq.bind`.
         """
 
         formatted_functions = [convert_to_openai_function(fn) for fn in functions]

libs/partners/openai/langchain_openai/chat_models/base.py

@@ -33,6 +33,7 @@
 
 import openai
 import tiktoken
+from langchain_core._api.deprecation import deprecated
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -966,6 +967,11 @@ def get_num_tokens_from_messages(self, messages: List[BaseMessage]) -> int:
         num_tokens += 3
         return num_tokens
 
+    @deprecated(
+        since="0.2.1",
+        alternative="langchain_openai.chat_models.base.ChatOpenAI.bind_tools",
+        removal="0.3.0",
+    )
     def bind_functions(
         self,
         functions: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable, BaseTool]],
@@ -1033,34 +1039,32 @@ def bind_tools(
 
         Assumes model is compatible with OpenAI tool-calling API.
 
-        .. versionchanged:: 0.1.21
-
-            Support for ``strict`` argument added.
-
         Args:
             tools: A list of tool definitions to bind to this chat model.
                 Supports any tool definition handled by
                 :meth:`langchain_core.utils.function_calling.convert_to_openai_tool`.
-            tool_choice: Which tool to require the model to call.
-                Options are:
-                    - str of the form ``"<<tool_name>>"``: calls <<tool_name>> tool.
-                    - ``"auto"``: automatically selects a tool (including no tool).
-                    - ``"none"``: does not call a tool.
-                    - ``"any"`` or ``"required"`` or ``True``: force at least one tool to be called.
-                    - dict of the form ``{"type": "function", "function": {"name": <<tool_name>>}}``: calls <<tool_name>> tool.
-                    - ``False`` or ``None``: no effect, default OpenAI behavior.
+            tool_choice: Which tool to require the model to call. Options are:
+
+                - str of the form ``"<<tool_name>>"``: calls <<tool_name>> tool.
+                - ``"auto"``: automatically selects a tool (including no tool).
+                - ``"none"``: does not call a tool.
+                - ``"any"`` or ``"required"`` or ``True``: force at least one tool to be called.
+                - dict of the form ``{"type": "function", "function": {"name": <<tool_name>>}}``: calls <<tool_name>> tool.
+                - ``False`` or ``None``: no effect, default OpenAI behavior.
             strict: If True, model output is guaranteed to exactly match the JSON Schema
                 provided in the tool definition. If True, the input schema will be
                 validated according to
                 https://platform.openai.com/docs/guides/structured-outputs/supported-schemas.
                 If False, input schema will not be validated and model output will not
                 be validated.
                 If None, ``strict`` argument will not be passed to the model.
+            kwargs: Any additional parameters are passed directly to
+                :meth:`~langchain_openai.chat_models.base.ChatOpenAI.bind`.
 
-                .. versionadded:: 0.1.21
+        .. versionchanged:: 0.1.21
+
+            Support for ``strict`` argument added.
 
-            kwargs: Any additional parameters are passed directly to
-                ``self.bind(**kwargs)``.
         """  # noqa: E501
 
         formatted_tools = [