docs: correct ported over directives (#33121)

Match rest of repo

Author: mdrxy

docs/README.md

@@ -118,18 +118,13 @@ def example_function(param1: str, param2: int = 5) -> bool:
 
     .. warning::
         This function is experimental and may change.
-
-    .. deprecated:: 0.2.0
-        Use :func:`new_function` instead.
     """
 ```
 
 **Special Markers:**
 
 - `:private:` in docstrings excludes members from documentation
-- `.. deprecated::` creates deprecation notices
 - `.. warning::` adds warning admonitions
-- `.. beta::` (custom directive) marks beta features
 
 #### Site Styling and Assets
 

libs/langchain_v1/langchain/agents/react_agent.py

@@ -971,7 +971,7 @@ def select_model(state: AgentState, runtime: Runtime[ModelContext]) -> ChatOpenA
                 return model.bind_tools(tools)
             ```
 
-            !!! note "Dynamic Model Requirements"
+            .. note::
                 Ensure returned models have appropriate tools bound via
                 `.bind_tools()` and support required functionality. Bound tools
                 must be a subset of those specified in the `tools` parameter.
@@ -1011,10 +1011,10 @@ def select_model(state: AgentState, runtime: Runtime[ModelContext]) -> ChatOpenA
                 - description: Optional custom description (defaults to model docstring)
                 - strict: Whether to enforce strict validation
 
-            !!! Important
+            .. important::
                 `response_format` requires the model to support tool calling
 
-            !!! Note
+            .. note::
                 Structured responses are handled directly in the model call node via tool calls,
                 eliminating the need for separate structured response nodes.
 
@@ -1037,12 +1037,12 @@ def select_model(state: AgentState, runtime: Runtime[ModelContext]) -> ChatOpenA
                 }
                 ```
 
-            !!! Important
+            .. important::
                 At least one of `messages` or `llm_input_messages` MUST be provided
                 and will be used as an input to the `agent` node.
                 The rest of the keys will be added to the graph state.
 
-            !!! Warning
+            .. warning::
                 If you are returning `messages` in the pre-model hook,
                 you should OVERWRITE the `messages` key by doing the following:
 
@@ -1059,7 +1059,7 @@ def select_model(state: AgentState, runtime: Runtime[ModelContext]) -> ChatOpenA
             Post-model hook must be a callable or a runnable that takes in
             current graph state and returns a state update.
 
-            !!! Note
+            .. note::
                 Only available with `version="v2"`.
         state_schema: An optional state schema that defines graph state.
             Must have `messages` and `remaining_steps` keys.
@@ -1092,7 +1092,7 @@ def select_model(state: AgentState, runtime: Runtime[ModelContext]) -> ChatOpenA
             another graph as a subgraph node -
             particularly useful for building multi-agent systems.
 
-    !!! warning "`config_schema` Deprecated"
+    .. warning::
         The `config_schema` parameter is deprecated in v0.6.0 and support will be removed in v2.0.0.
         Please use `context_schema` instead to specify the schema for run-scoped context.
 

libs/langchain_v1/langchain/agents/tool_node.py

@@ -1020,7 +1020,7 @@ class InjectedStore(InjectedToolArg):
     for maintaining context, user preferences, or any other data that needs to
     persist beyond individual workflow executions.
 
-    !!! Warning
+    .. warning::
         `InjectedStore` annotation requires `langchain-core >= 0.3.8`
 
     Example: