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chore(core): drop gpt-3.5-turbo from docstrings (#36497)

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This commit is contained in:
Mason Daugherty
2026-04-03 10:53:33 -04:00
committed by GitHub
parent dd637313c9
commit aec6d42d10
3 changed files with 6 additions and 6 deletions
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4
libs/core/langchain_core/caches.py
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@@ -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")]
```

4
libs/core/langchain_core/runnables/configurable.py
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@@ -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"})
```
"""

4
libs/core/langchain_core/runnables/fallbacks.py
View File

@@ -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.