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chore: remove mentions of sonnet 3.5 (#33737)

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see
https://docs.claude.com/en/docs/about-claude/model-deprecations#2025-08-13%3A-claude-sonnet-3-5-models
This commit is contained in:
Sydney Runkle
2025-10-29 15:49:27 -07:00
committed by GitHub
parent ac58d75113
commit fabcacc3e5
8 changed files with 35 additions and 49 deletions
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28
libs/partners/anthropic/langchain_anthropic/chat_models.py
View File

@@ -820,7 +820,7 @@ class ChatAnthropic(BaseChatModel):
image_url = "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
image_data = base64.b64encode(httpx.get(image_url).content).decode("utf-8")
model = ChatAnthropic(model="claude-3-5-sonnet-latest")
model = ChatAnthropic(model="claude-sonnet-4-5")
message = HumanMessage(
content=[
{
@@ -887,7 +887,7 @@ class ChatAnthropic(BaseChatModel):
url = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf"
data = b64encode(requests.get(url).content).decode()
model = ChatAnthropic(model="claude-3-5-sonnet-latest")
model = ChatAnthropic(model="claude-sonnet-4-5")
ai_msg = model.invoke(
[
HumanMessage(
@@ -1948,7 +1948,7 @@ class ChatAnthropic(BaseChatModel):
product: str = Field(..., description="The product to look up.")
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
model = ChatAnthropic(model="claude-sonnet-4-5", temperature=0)
model_with_tools = model.bind_tools([GetWeather, GetPrice])
model_with_tools.invoke(
"What is the weather like in San Francisco",
@@ -1958,7 +1958,7 @@ 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-latest', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 487, 'output_tokens': 145}},
# response_metadata={'id': 'msg_01GM3zQtoFv8jGQMW7abLnhi', 'model': 'claude-sonnet-4-5', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 487, 'output_tokens': 145}},
# id='run-87b1331e-9251-4a68-acef-f0a018b639cc-0'
# )
```
@@ -1982,7 +1982,7 @@ class ChatAnthropic(BaseChatModel):
product: str = Field(..., description="The product to look up.")
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
model = ChatAnthropic(model="claude-sonnet-4-5", temperature=0)
model_with_tools = model.bind_tools([GetWeather, GetPrice], tool_choice="any")
model_with_tools.invoke(
"what is the weather like in San Francisco",
@@ -2008,7 +2008,7 @@ class ChatAnthropic(BaseChatModel):
product: str = Field(..., description="The product to look up.")
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
model = ChatAnthropic(model="claude-sonnet-4-5", temperature=0)
model_with_tools = model.bind_tools([GetWeather, GetPrice], tool_choice="GetWeather")
model_with_tools.invoke("What is the weather like in San Francisco")
```
@@ -2043,7 +2043,7 @@ class ChatAnthropic(BaseChatModel):
# We need to pass in extra headers to enable use of the beta cache
# control API.
model = ChatAnthropic(
model="claude-3-5-sonnet-latest",
model="claude-sonnet-4-5",
temperature=0,
)
model_with_tools = model.bind_tools([GetWeather, cached_price_tool])
@@ -2068,7 +2068,7 @@ class ChatAnthropic(BaseChatModel):
],
response_metadata={
"id": "msg_01Xg7Wr5inFWgBxE5jH9rpRo",
"model": "claude-3-5-sonnet-latest",
"model": "claude-sonnet-4-5",
"stop_reason": "tool_use",
"stop_sequence": None,
"usage": {
@@ -2113,7 +2113,7 @@ class ChatAnthropic(BaseChatModel):
],
response_metadata={
"id": "msg_016RfWHrRvW6DAGCdwB6Ac64",
"model": "claude-3-5-sonnet-latest",
"model": "claude-sonnet-4-5",
"stop_reason": "tool_use",
"stop_sequence": None,
"usage": {
@@ -2240,7 +2240,7 @@ class ChatAnthropic(BaseChatModel):
justification: str
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
model = ChatAnthropic(model="claude-sonnet-4-5", temperature=0)
structured_model = model.with_structured_output(AnswerWithJustification)
structured_model.invoke("What weighs more a pound of bricks or a pound of feathers")
@@ -2265,7 +2265,7 @@ class ChatAnthropic(BaseChatModel):
justification: str
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
model = ChatAnthropic(model="claude-sonnet-4-5", temperature=0)
structured_model = model.with_structured_output(AnswerWithJustification, include_raw=True)
structured_model.invoke("What weighs more a pound of bricks or a pound of feathers")
@@ -2293,7 +2293,7 @@ class ChatAnthropic(BaseChatModel):
"required": ["answer", "justification"],
},
}
model = ChatAnthropic(model="claude-3-5-sonnet-latest", temperature=0)
model = ChatAnthropic(model="claude-sonnet-4-5", temperature=0)
structured_model = model.with_structured_output(schema)
structured_model.invoke("What weighs more a pound of bricks or a pound of feathers")
@@ -2365,7 +2365,7 @@ class ChatAnthropic(BaseChatModel):
from langchain_anthropic import ChatAnthropic
from langchain_core.messages import HumanMessage, SystemMessage
model = ChatAnthropic(model="claude-3-5-sonnet-20241022")
model = ChatAnthropic(model="claude-sonnet-4-5-20250929")
messages = [
SystemMessage(content="You are a scientist"),
@@ -2385,7 +2385,7 @@ class ChatAnthropic(BaseChatModel):
from langchain_core.messages import HumanMessage
from langchain_core.tools import tool
model = ChatAnthropic(model="claude-3-5-sonnet-20241022")
model = ChatAnthropic(model="claude-sonnet-4-5-20250929")
@tool(parse_docstring=True)
def get_weather(location: str) -> str:

2
libs/partners/anthropic/langchain_anthropic/llms.py
View File

@@ -25,7 +25,7 @@ from typing_extensions import Self
class _AnthropicCommon(BaseLanguageModel):
client: Any = None #: :meta private:
async_client: Any = None #: :meta private:
model: str = Field(default="claude-3-5-sonnet-latest", alias="model_name")
model: str = Field(default="claude-sonnet-4-5", alias="model_name")
"""Model name to use."""
max_tokens: int = Field(default=1024, alias="max_tokens_to_sample")

4
libs/partners/anthropic/tests/integration_tests/test_chat_models.py
View File

@@ -588,7 +588,7 @@ class GenerateUsername(BaseModel):
def test_disable_parallel_tool_calling() -> None:
llm = ChatAnthropic(model="claude-3-5-sonnet-20241022") # type: ignore[call-arg]
llm = ChatAnthropic(model="claude-sonnet-4-5-20250929") # type: ignore[call-arg]
llm_with_tools = llm.bind_tools([GenerateUsername], parallel_tool_calls=False)
result = llm_with_tools.invoke(
"Use the GenerateUsername tool to generate user names for:\n\n"
@@ -665,7 +665,7 @@ def test_with_structured_output() -> None:
def test_get_num_tokens_from_messages() -> None:
llm = ChatAnthropic(model="claude-3-5-sonnet-20241022") # type: ignore[call-arg]
llm = ChatAnthropic(model="claude-sonnet-4-5-20250929") # type: ignore[call-arg]
# Test simple case
messages = [

34
libs/partners/anthropic/tests/unit_tests/test_chat_models.py
View File

@@ -55,17 +55,17 @@ def test_streaming_attribute_should_stream(async_api: bool) -> None: # noqa: FB
def test_anthropic_client_caching() -> None:
"""Test that the OpenAI client is cached."""
llm1 = ChatAnthropic(model="claude-3-5-sonnet-latest")
llm2 = ChatAnthropic(model="claude-3-5-sonnet-latest")
llm1 = ChatAnthropic(model="claude-sonnet-4-5")
llm2 = ChatAnthropic(model="claude-sonnet-4-5")
assert llm1._client._client is llm2._client._client
llm3 = ChatAnthropic(model="claude-3-5-sonnet-latest", base_url="foo")
llm3 = ChatAnthropic(model="claude-sonnet-4-5", base_url="foo")
assert llm1._client._client is not llm3._client._client
llm4 = ChatAnthropic(model="claude-3-5-sonnet-latest", timeout=None)
llm4 = ChatAnthropic(model="claude-sonnet-4-5", timeout=None)
assert llm1._client._client is llm4._client._client
llm5 = ChatAnthropic(model="claude-3-5-sonnet-latest", timeout=3)
llm5 = ChatAnthropic(model="claude-sonnet-4-5", timeout=3)
assert llm1._client._client is not llm5._client._client
@@ -74,9 +74,7 @@ def test_anthropic_proxy_support() -> None:
proxy_url = "http://proxy.example.com:8080"
# Test sync client with proxy
llm_sync = ChatAnthropic(
model="claude-3-5-sonnet-latest", anthropic_proxy=proxy_url
)
llm_sync = ChatAnthropic(model="claude-sonnet-4-5", anthropic_proxy=proxy_url)
sync_client = llm_sync._client
assert sync_client is not None
@@ -85,10 +83,8 @@ def test_anthropic_proxy_support() -> None:
assert async_client is not None
# Test that clients with different proxy settings are not cached together
llm_no_proxy = ChatAnthropic(model="claude-3-5-sonnet-latest")
llm_with_proxy = ChatAnthropic(
model="claude-3-5-sonnet-latest", anthropic_proxy=proxy_url
)
llm_no_proxy = ChatAnthropic(model="claude-sonnet-4-5")
llm_with_proxy = ChatAnthropic(model="claude-sonnet-4-5", anthropic_proxy=proxy_url)
# Different proxy settings should result in different cached clients
assert llm_no_proxy._client._client is not llm_with_proxy._client._client
@@ -100,7 +96,7 @@ def test_anthropic_proxy_from_environment() -> None:
# Test with environment variable set
with patch.dict(os.environ, {"ANTHROPIC_PROXY": proxy_url}):
llm = ChatAnthropic(model="claude-3-5-sonnet-latest")
llm = ChatAnthropic(model="claude-sonnet-4-5")
assert llm.anthropic_proxy == proxy_url
# Should be able to create clients successfully
@@ -112,9 +108,7 @@ def test_anthropic_proxy_from_environment() -> None:
# Test that explicit parameter overrides environment variable
with patch.dict(os.environ, {"ANTHROPIC_PROXY": "http://env-proxy.com"}):
explicit_proxy = "http://explicit-proxy.com"
llm = ChatAnthropic(
model="claude-3-5-sonnet-latest", anthropic_proxy=explicit_proxy
)
llm = ChatAnthropic(model="claude-sonnet-4-5", anthropic_proxy=explicit_proxy)
assert llm.anthropic_proxy == explicit_proxy
@@ -132,10 +126,6 @@ def test_set_default_max_tokens() -> None:
llm = ChatAnthropic(model="claude-3-7-sonnet-latest", anthropic_api_key="test")
assert llm.max_tokens == 64000
# Test claude-3-5-sonnet models
llm = ChatAnthropic(model="claude-3-5-sonnet-latest", anthropic_api_key="test")
assert llm.max_tokens == 8192
# Test claude-3-5-haiku models
llm = ChatAnthropic(model="claude-3-5-haiku-latest", anthropic_api_key="test")
assert llm.max_tokens == 8192
@@ -146,13 +136,13 @@ def test_set_default_max_tokens() -> None:
# Test that existing max_tokens values are preserved
llm = ChatAnthropic(
model="claude-3-5-sonnet-latest", max_tokens=2048, anthropic_api_key="test"
model="claude-sonnet-4-5", max_tokens=2048, anthropic_api_key="test"
)
assert llm.max_tokens == 2048
# Test that explicitly set max_tokens values are preserved
llm = ChatAnthropic(
model="claude-3-5-sonnet-latest", max_tokens=4096, anthropic_api_key="test"
model="claude-sonnet-4-5", max_tokens=4096, anthropic_api_key="test"
)
assert llm.max_tokens == 4096