chore(core): drop gpt-3.5-turbo from docstrings

Author: mdrxy

libs/core/langchain_core/caches.py

@@ -166,14 +166,14 @@ class InMemoryCache(BaseCache):
         # Update cache
         cache.update(
             prompt="What is the capital of France?",
-            llm_string="model='gpt-3.5-turbo', temperature=0.1",
+            llm_string="model='gpt-5.4-mini',
             return_val=[Generation(text="Paris")],
         )
 
         # Lookup cache
         result = cache.lookup(
             prompt="What is the capital of France?",
-            llm_string="model='gpt-3.5-turbo', temperature=0.1",
+            llm_string="model='gpt-5.4-mini',
         )
         # result is [Generation(text="Paris")]
         ```

libs/core/langchain_core/runnables/configurable.py

@@ -499,7 +499,7 @@ class RunnableConfigurableAlternatives(DynamicRunnable[Input, Output]):
         # When invoking the created RunnableSequence, you can pass in the
         # value for your ConfigurableField's id which in this case will either be
         # `joke` or `poem`.
-        chain = prompt | ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0)
+        chain = prompt | ChatOpenAI(model="gpt-5.4-mini")
 
         # The `with_config` method brings in the desired Prompt Runnable in your
         # Runnable Sequence.
@@ -525,7 +525,7 @@ class RunnableConfigurableAlternatives(DynamicRunnable[Input, Output]):
                 "poem": PromptTemplate.from_template("Write a short poem about {topic}")
             },
         )
-        chain = prompt | ChatOpenAI(model="gpt-3.5-turbo-0125", temperature=0)
+        chain = prompt | ChatOpenAI(model="gpt-5.4-mini")
         chain.with_config(configurable={"prompt": "poem"}).invoke({"topic": "bears"})
         ```
     """

libs/core/langchain_core/runnables/fallbacks.py

@@ -54,8 +54,8 @@ class RunnableWithFallbacks(RunnableSerializable[Input, Output]):
         from langchain_core.chat_models.openai import ChatOpenAI
         from langchain_core.chat_models.anthropic import ChatAnthropic
 
-        model = ChatAnthropic(model="claude-3-haiku-20240307").with_fallbacks(
-            [ChatOpenAI(model="gpt-3.5-turbo-0125")]
+        model = ChatAnthropic(model="claude-sonnet-4-6").with_fallbacks(
+            [ChatOpenAI(model="gpt-5.4-mini")]
         )
         # Will usually use ChatAnthropic, but fallback to ChatOpenAI
         # if ChatAnthropic fails.