docs, multiple: de-beta with_structured_output (#20850)

libs/core/langchain_core/language_models/base.py

@@ -19,7 +19,7 @@ from typing import (
 
 from typing_extensions import TypeAlias
 
-from langchain_core._api import beta, deprecated
+from langchain_core._api import deprecated
 from langchain_core.messages import (
     AnyMessage,
     BaseMessage,
@@ -201,7 +201,6 @@ class BaseLanguageModel(
                 prompt and additional model provider-specific output.
         """
 
-    @beta()
     def with_structured_output(
         self, schema: Union[Dict, Type[BaseModel]], **kwargs: Any
     ) -> Runnable[LanguageModelInput, Union[Dict, BaseModel]]:

libs/partners/anthropic/langchain_anthropic/chat_models.py

@@ -580,7 +580,6 @@ class ChatAnthropic(BaseChatModel):
         formatted_tools = [convert_to_anthropic_tool(tool) for tool in tools]
         return self.bind(tools=formatted_tools, **kwargs)
 
-    @beta()
     def with_structured_output(
         self,
         schema: Union[Dict, Type[BaseModel]],

libs/partners/fireworks/langchain_fireworks/chat_models.py

@@ -24,7 +24,6 @@ from typing import (
 )
 
 from fireworks.client import AsyncFireworks, Fireworks  # type: ignore
-from langchain_core._api import beta
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -671,7 +670,6 @@ class ChatFireworks(BaseChatModel):
             kwargs["tool_choice"] = tool_choice
         return super().bind(tools=formatted_tools, **kwargs)
 
-    @beta()
     def with_structured_output(
         self,
         schema: Optional[Union[Dict, Type[BaseModel]]] = None,

libs/partners/groq/langchain_groq/chat_models.py

@@ -23,7 +23,6 @@ from typing import (
     cast,
 )
 
-from langchain_core._api import beta
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -595,7 +594,6 @@ class ChatGroq(BaseChatModel):
             kwargs["tool_choice"] = tool_choice
         return super().bind(tools=formatted_tools, **kwargs)
 
-    @beta()
     def with_structured_output(
         self,
         schema: Optional[Union[Dict, Type[BaseModel]]] = None,

libs/partners/mistralai/langchain_mistralai/chat_models.py

@@ -22,7 +22,6 @@ from typing import (
 
 import httpx
 from httpx_sse import EventSource, aconnect_sse, connect_sse
-from langchain_core._api import beta
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -588,7 +587,6 @@ class ChatMistralAI(BaseChatModel):
         formatted_tools = [convert_to_openai_tool(tool) for tool in tools]
         return super().bind(tools=formatted_tools, **kwargs)
 
-    @beta()
     def with_structured_output(
         self,
         schema: Union[Dict, Type[BaseModel]],

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

@@ -29,7 +29,6 @@ from typing import (
 
 import openai
 import tiktoken
-from langchain_core._api import beta
 from langchain_core.callbacks import (
     AsyncCallbackManagerForLLMRun,
     CallbackManagerForLLMRun,
@@ -885,7 +884,6 @@ class ChatOpenAI(BaseChatModel):
     ) -> Runnable[LanguageModelInput, _DictOrPydantic]:
         ...
 
-    @beta()
     def with_structured_output(
         self,
         schema: Optional[_DictOrPydanticClass] = None,