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chore: update references to use the latest version of Claude-3.5 Sonnet (#32594)

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This commit is contained in:
Mason Daugherty
2025-08-18 14:11:15 -04:00
committed by GitHub
parent 8d0fb2d04b
commit f69f9598f5
11 changed files with 34 additions and 34 deletions
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4
libs/langchain/langchain/chat_models/base.py
View File

@@ -230,7 +230,7 @@ def init_chat_model(
"what's your name",
config={
"configurable": {
"foo_model": "anthropic:claude-3-5-sonnet-20240620",
"foo_model": "anthropic:claude-3-5-sonnet-latest",
"foo_temperature": 0.6
}
}
@@ -272,7 +272,7 @@ def init_chat_model(
configurable_model_with_tools.invoke(
"Which city is hotter today and which is bigger: LA or NY?",
config={"configurable": {"model": "claude-3-5-sonnet-20240620"}}
config={"configurable": {"model": "claude-3-5-sonnet-latest"}}
)
# Claude-3.5 sonnet response with tools

4
libs/langchain_v1/langchain/chat_models/base.py
View File

@@ -224,7 +224,7 @@ def init_chat_model(
"what's your name",
config={
"configurable": {
"foo_model": "anthropic:claude-3-5-sonnet-20240620",
"foo_model": "anthropic:claude-3-5-sonnet-latest",
"foo_temperature": 0.6
}
}
@@ -266,7 +266,7 @@ def init_chat_model(
configurable_model_with_tools.invoke(
"Which city is hotter today and which is bigger: LA or NY?",
config={"configurable": {"model": "claude-3-5-sonnet-20240620"}}
config={"configurable": {"model": "claude-3-5-sonnet-latest"}}
)
# Claude-3.5 sonnet response with tools

20
libs/partners/anthropic/langchain_anthropic/chat_models.py
View File

@@ -1731,7 +1731,7 @@ class ChatAnthropic(BaseChatModel):
product: str = Field(..., description="The product to look up.")
llm = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0)
llm = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
llm_with_tools = llm.bind_tools([GetWeather, GetPrice])
llm_with_tools.invoke("what is the weather like in San Francisco",)
# -> AIMessage(
@@ -1739,7 +1739,7 @@ class ChatAnthropic(BaseChatModel):
# {'text': '<thinking>\nBased on the user\'s question, the relevant function to call is GetWeather, which requires the "location" parameter.\n\nThe user has directly specified the location as "San Francisco". Since San Francisco is a well known city, I can reasonably infer they mean San Francisco, CA without needing the state specified.\n\nAll the required parameters are provided, so I can proceed with the API call.\n</thinking>', 'type': 'text'},
# {'text': None, 'type': 'tool_use', 'id': 'toolu_01SCgExKzQ7eqSkMHfygvYuu', 'name': 'GetWeather', 'input': {'location': 'San Francisco, CA'}}
# ],
# response_metadata={'id': 'msg_01GM3zQtoFv8jGQMW7abLnhi', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 487, 'output_tokens': 145}},
# response_metadata={'id': 'msg_01GM3zQtoFv8jGQMW7abLnhi', 'model': 'claude-3-5-sonnet-latest', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 487, 'output_tokens': 145}},
# id='run-87b1331e-9251-4a68-acef-f0a018b639cc-0'
# )
@@ -1761,7 +1761,7 @@ class ChatAnthropic(BaseChatModel):
product: str = Field(..., description="The product to look up.")
llm = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0)
llm = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
llm_with_tools = llm.bind_tools([GetWeather, GetPrice], tool_choice="any")
llm_with_tools.invoke("what is the weather like in San Francisco",)
@@ -1784,7 +1784,7 @@ class ChatAnthropic(BaseChatModel):
product: str = Field(..., description="The product to look up.")
llm = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0)
llm = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
llm_with_tools = llm.bind_tools([GetWeather, GetPrice], tool_choice="GetWeather")
llm_with_tools.invoke("what is the weather like in San Francisco",)
@@ -1816,7 +1816,7 @@ class ChatAnthropic(BaseChatModel):
# We need to pass in extra headers to enable use of the beta cache
# control API.
llm = ChatAnthropic(
model="claude-3-5-sonnet-20240620",
model="claude-3-5-sonnet-latest",
temperature=0,
)
llm_with_tools = llm.bind_tools([GetWeather, cached_price_tool])
@@ -1826,13 +1826,13 @@ class ChatAnthropic(BaseChatModel):
.. code-block:: python
AIMessage(content=[{'text': "Certainly! I can help you find out the current weather in San Francisco. To get this information, I'll use the GetWeather function. Let me fetch that data for you right away.", 'type': 'text'}, {'id': 'toolu_01TS5h8LNo7p5imcG7yRiaUM', 'input': {'location': 'San Francisco, CA'}, 'name': 'GetWeather', 'type': 'tool_use'}], response_metadata={'id': 'msg_01Xg7Wr5inFWgBxE5jH9rpRo', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 171, 'output_tokens': 96, 'cache_creation_input_tokens': 1470, 'cache_read_input_tokens': 0}}, id='run-b36a5b54-5d69-470e-a1b0-b932d00b089e-0', tool_calls=[{'name': 'GetWeather', 'args': {'location': 'San Francisco, CA'}, 'id': 'toolu_01TS5h8LNo7p5imcG7yRiaUM', 'type': 'tool_call'}], usage_metadata={'input_tokens': 171, 'output_tokens': 96, 'total_tokens': 267})
AIMessage(content=[{'text': "Certainly! I can help you find out the current weather in San Francisco. To get this information, I'll use the GetWeather function. Let me fetch that data for you right away.", 'type': 'text'}, {'id': 'toolu_01TS5h8LNo7p5imcG7yRiaUM', 'input': {'location': 'San Francisco, CA'}, 'name': 'GetWeather', 'type': 'tool_use'}], response_metadata={'id': 'msg_01Xg7Wr5inFWgBxE5jH9rpRo', 'model': 'claude-3-5-sonnet-latest', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 171, 'output_tokens': 96, 'cache_creation_input_tokens': 1470, 'cache_read_input_tokens': 0}}, id='run-b36a5b54-5d69-470e-a1b0-b932d00b089e-0', tool_calls=[{'name': 'GetWeather', 'args': {'location': 'San Francisco, CA'}, 'id': 'toolu_01TS5h8LNo7p5imcG7yRiaUM', 'type': 'tool_call'}], usage_metadata={'input_tokens': 171, 'output_tokens': 96, 'total_tokens': 267})
If we invoke the tool again, we can see that the "usage" information in the AIMessage.response_metadata shows that we had a cache hit:
.. code-block:: python
AIMessage(content=[{'text': 'To get the current weather in San Francisco, I can use the GetWeather function. Let me check that for you.', 'type': 'text'}, {'id': 'toolu_01HtVtY1qhMFdPprx42qU2eA', 'input': {'location': 'San Francisco, CA'}, 'name': 'GetWeather', 'type': 'tool_use'}], response_metadata={'id': 'msg_016RfWHrRvW6DAGCdwB6Ac64', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 171, 'output_tokens': 82, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 1470}}, id='run-88b1f825-dcb7-4277-ac27-53df55d22001-0', tool_calls=[{'name': 'GetWeather', 'args': {'location': 'San Francisco, CA'}, 'id': 'toolu_01HtVtY1qhMFdPprx42qU2eA', 'type': 'tool_call'}], usage_metadata={'input_tokens': 171, 'output_tokens': 82, 'total_tokens': 253})
AIMessage(content=[{'text': 'To get the current weather in San Francisco, I can use the GetWeather function. Let me check that for you.', 'type': 'text'}, {'id': 'toolu_01HtVtY1qhMFdPprx42qU2eA', 'input': {'location': 'San Francisco, CA'}, 'name': 'GetWeather', 'type': 'tool_use'}], response_metadata={'id': 'msg_016RfWHrRvW6DAGCdwB6Ac64', 'model': 'claude-3-5-sonnet-latest', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 171, 'output_tokens': 82, 'cache_creation_input_tokens': 0, 'cache_read_input_tokens': 1470}}, id='run-88b1f825-dcb7-4277-ac27-53df55d22001-0', tool_calls=[{'name': 'GetWeather', 'args': {'location': 'San Francisco, CA'}, 'id': 'toolu_01HtVtY1qhMFdPprx42qU2eA', 'type': 'tool_call'}], usage_metadata={'input_tokens': 171, 'output_tokens': 82, 'total_tokens': 253})
""" # noqa: E501
formatted_tools = [
@@ -1929,7 +1929,7 @@ class ChatAnthropic(BaseChatModel):
answer: str
justification: str
llm = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0)
llm = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
structured_llm = llm.with_structured_output(AnswerWithJustification)
structured_llm.invoke("What weighs more a pound of bricks or a pound of feathers")
@@ -1951,7 +1951,7 @@ class ChatAnthropic(BaseChatModel):
answer: str
justification: str
llm = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0)
llm = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
structured_llm = llm.with_structured_output(AnswerWithJustification, include_raw=True)
structured_llm.invoke("What weighs more a pound of bricks or a pound of feathers")
@@ -1979,7 +1979,7 @@ class ChatAnthropic(BaseChatModel):
"required": ["answer", "justification"]
}
}
llm = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0)
llm = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
structured_llm = llm.with_structured_output(schema)
structured_llm.invoke("What weighs more a pound of bricks or a pound of feathers")