docs(core): fix docstring examples that don't run as copied (#40815)

Co-authored-by: ccurme <ccurme@users.noreply.github.com>
Co-authored-by: Aman Gupta <168967382+aman99dex@users.noreply.github.com>

libs/core/langchain_core/messages/utils.py

@@ -1289,7 +1289,7 @@ def trim_messages(
             messages,
             max_tokens=45,
             strategy="last",
-            token_counter=ChatOpenAI(model="openai:gpt-5.5"),
+            token_counter=ChatOpenAI(model="gpt-5.5"),
             # Most chat models expect that chat history starts with either:
             # (1) a HumanMessage or
             # (2) a SystemMessage followed by a HumanMessage

libs/core/langchain_core/output_parsers/string.py

@@ -19,7 +19,7 @@ class StrOutputParser(BaseTransformOutputParser[str]):
         from langchain_core.output_parsers import StrOutputParser
         from langchain_openai import ChatOpenAI
 
-        model = ChatOpenAI(model="openai:gpt-5.5")
+        model = ChatOpenAI(model="gpt-5.5")
         parser = StrOutputParser()
 
         # Get string output from a model

libs/core/langchain_core/prompts/few_shot.py

@@ -369,9 +369,9 @@ class FewShotChatMessagePromptTemplate(
         print(final_prompt.format_messages(input="What's 3+3?"))  # noqa: T201
 
         # Use within an LLM
-        from langchain_core.chat_models import ChatAnthropic
+        from langchain_anthropic import ChatAnthropic
 
-        chain = final_prompt | ChatAnthropic(model="claude-3-haiku-20240307")
+        chain = final_prompt | ChatAnthropic(model="claude-sonnet-5")
         chain.invoke({"input": "What's 3+3?"})
         ```
     """

libs/core/langchain_core/rate_limiters.py

@@ -105,9 +105,7 @@ class InMemoryRateLimiter(BaseRateLimiter):
 
         from langchain_anthropic import ChatAnthropic
 
-        model = ChatAnthropic(
-            model_name="claude-sonnet-4-5-20250929", rate_limiter=rate_limiter
-        )
+        model = ChatAnthropic(model_name="claude-sonnet-5", rate_limiter=rate_limiter)
 
         for _ in range(5):
             tic = time.time()

libs/core/langchain_core/runnables/fallbacks.py

@@ -52,10 +52,10 @@ class RunnableWithFallbacks(RunnableSerializable[Input, Output]):
 
     Example:
         ```python
-        from langchain_core.chat_models.openai import ChatOpenAI
-        from langchain_core.chat_models.anthropic import ChatAnthropic
+        from langchain_anthropic import ChatAnthropic
+        from langchain_openai import ChatOpenAI
 
-        model = ChatAnthropic(model="claude-sonnet-4-6").with_fallbacks(
+        model = ChatAnthropic(model="claude-sonnet-5").with_fallbacks(
             [ChatOpenAI(model="gpt-5.4-mini")]
         )
         # Will usually use ChatAnthropic, but fallback to ChatOpenAI
@@ -604,8 +604,8 @@ class RunnableWithFallbacks(RunnableSerializable[Input, Output]):
             from langchain_openai import ChatOpenAI
             from langchain_anthropic import ChatAnthropic
 
-            gpt_55 = ChatOpenAI(model="openai:gpt-5.5")
-            claude_3_sonnet = ChatAnthropic(model="claude-sonnet-4-5-20250929")
+            gpt_55 = ChatOpenAI(model="gpt-5.5")
+            claude_3_sonnet = ChatAnthropic(model="claude-sonnet-5")
             model = gpt_55.with_fallbacks([claude_3_sonnet])
 
             model.model_name

libs/core/langchain_core/runnables/history.py

@@ -136,7 +136,7 @@ class RunnableWithMessageHistory(RunnableBindingBase[Any, Any]):  # type: ignore
             ]
         )
 
-        chain = prompt | ChatAnthropic(model="claude-2")
+        chain = prompt | ChatAnthropic(model="claude-sonnet-5")
 
         chain_with_history = RunnableWithMessageHistory(
             chain,
@@ -189,7 +189,7 @@ class RunnableWithMessageHistory(RunnableBindingBase[Any, Any]):  # type: ignore
             ]
         )
 
-        chain = prompt | ChatAnthropic(model="claude-2")
+        chain = prompt | ChatAnthropic(model="claude-sonnet-5")
 
         with_message_history = RunnableWithMessageHistory(
             chain,

libs/core/langchain_core/runnables/retry.py

@@ -96,7 +96,7 @@ class RunnableRetry(RunnableBindingBase[Input, Output]):  # type: ignore[no-rede
 
     Example:
         ```python
-        from langchain_core.chat_models import ChatOpenAI
+        from langchain_openai import ChatOpenAI
         from langchain_core.prompts import PromptTemplate
 
         template = PromptTemplate.from_template("tell me a joke about {topic}.")