fix(infra,core): nits (#34079)

* Add missing `nits` to allowed PR linting scopes
* Ensure `MAJOR.MINOR.PATCH` consistency in admonitions
* Ensure valid spacing in admonitions

.github/workflows/pr_lint.yml

@@ -102,6 +102,7 @@ jobs:
             qdrant
             xai
             infra
+            deps
           requireScope: false
           disallowScopes: |
             release

libs/core/langchain_core/language_models/chat_models.py

@@ -333,7 +333,7 @@ class BaseChatModel(BaseLanguageModel[AIMessage], ABC):
     [`langchain-openai`](https://pypi.org/project/langchain-openai)) can also use this
     field to roll out new content formats in a backward-compatible way.
 
-    !!! version-added "Added in `langchain-core` 1.0"
+    !!! version-added "Added in `langchain-core` 1.0.0"
 
     """
 
@@ -349,7 +349,7 @@ class BaseChatModel(BaseLanguageModel[AIMessage], ABC):
     Example profile data includes context window sizes, supported modalities, or support
     for tool calling, structured output, and other features.
 
-    !!! version-added "Added in `langchain-core` 1.1"
+    !!! version-added "Added in `langchain-core` 1.1.0"
     """
 
     model_config = ConfigDict(

libs/core/langchain_core/messages/utils.py

@@ -738,8 +738,10 @@ def trim_messages(
             Set to `len` to count the number of **messages** in the chat history.
 
             !!! note
+
                 Use `count_tokens_approximately` to get fast, approximate token
                 counts.
+
                 This is recommended for using `trim_messages` on the hot path, where
                 exact token counting is not necessary.