anthropic[patch]: use anthropic 0.23 (#20022)

docs/docs/integrations/chat/anthropic.ipynb

@@ -338,7 +338,6 @@
     "\n",
     "llm = ChatAnthropic(\n",
     "    model=\"claude-3-opus-20240229\",\n",
-    "    default_headers={\"anthropic-beta\": \"tools-2024-04-04\"},\n",
     ")\n",
     "\n",
     "\n",
@@ -697,9 +696,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "poetry-venv-2",
    "language": "python",
-   "name": "python3"
+   "name": "poetry-venv-2"
   },
   "language_info": {
    "codemirror_mode": {

libs/partners/anthropic/langchain_anthropic/chat_models.py

@@ -325,7 +325,7 @@ class ChatAnthropic(BaseChatModel):
         **kwargs: Any,
     ) -> Iterator[ChatGenerationChunk]:
         params = self._format_params(messages=messages, stop=stop, **kwargs)
-        if "extra_body" in params and params["extra_body"].get("tools"):
+        if _tools_in_params(params):
             warnings.warn("stream: Tool use is not yet supported in streaming mode.")
             result = self._generate(
                 messages, stop=stop, run_manager=run_manager, **kwargs
@@ -347,7 +347,7 @@ class ChatAnthropic(BaseChatModel):
         **kwargs: Any,
     ) -> AsyncIterator[ChatGenerationChunk]:
         params = self._format_params(messages=messages, stop=stop, **kwargs)
-        if "extra_body" in params and params["extra_body"].get("tools"):
+        if _tools_in_params(params):
             warnings.warn("stream: Tool use is not yet supported in streaming mode.")
             result = await self._agenerate(
                 messages, stop=stop, run_manager=run_manager, **kwargs
@@ -385,7 +385,7 @@ class ChatAnthropic(BaseChatModel):
     ) -> ChatResult:
         params = self._format_params(messages=messages, stop=stop, **kwargs)
         if self.streaming:
-            if "extra_body" in params and params["extra_body"].get("tools"):
+            if _tools_in_params(params):
                 warnings.warn(
                     "stream: Tool use is not yet supported in streaming mode."
                 )
@@ -394,7 +394,10 @@ class ChatAnthropic(BaseChatModel):
                     messages, stop=stop, run_manager=run_manager, **kwargs
                 )
                 return generate_from_stream(stream_iter)
-        data = self._client.messages.create(**params)
+        if _tools_in_params(params):
+            data = self._client.beta.tools.messages.create(**params)
+        else:
+            data = self._client.messages.create(**params)
         return self._format_output(data, **kwargs)
 
     async def _agenerate(
@@ -406,7 +409,7 @@ class ChatAnthropic(BaseChatModel):
     ) -> ChatResult:
         params = self._format_params(messages=messages, stop=stop, **kwargs)
         if self.streaming:
-            if "extra_body" in params and params["extra_body"].get("tools"):
+            if _tools_in_params(params):
                 warnings.warn(
                     "stream: Tool use is not yet supported in streaming mode."
                 )
@@ -415,7 +418,10 @@ class ChatAnthropic(BaseChatModel):
                     messages, stop=stop, run_manager=run_manager, **kwargs
                 )
                 return await agenerate_from_stream(stream_iter)
-        data = await self._async_client.messages.create(**params)
+        if _tools_in_params(params):
+            data = await self._async_client.beta.tools.messages.create(**params)
+        else:
+            data = await self._async_client.messages.create(**params)
         return self._format_output(data, **kwargs)
 
     @beta()
@@ -434,9 +440,7 @@ class ChatAnthropic(BaseChatModel):
             **kwargs: Any additional parameters to bind.
         """
         formatted_tools = [convert_to_anthropic_tool(tool) for tool in tools]
-        extra_body = kwargs.pop("extra_body", {})
-        extra_body["tools"] = formatted_tools
-        return self.bind(extra_body=extra_body, **kwargs)
+        return self.bind(tools=formatted_tools, **kwargs)
 
     @beta()
     def with_structured_output(
@@ -490,6 +494,12 @@ def convert_to_anthropic_tool(
         )
 
 
+def _tools_in_params(params: dict) -> bool:
+    return "tools" in params or (
+        "extra_body" in params and params["extra_body"].get("tools")
+    )
+
+
 @deprecated(since="0.1.0", removal="0.2.0", alternative="ChatAnthropic")
 class ChatAnthropicMessages(ChatAnthropic):
     pass

libs/partners/anthropic/poetry.lock

@@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
 
 [[package]]
 name = "anthropic"
-version = "0.17.0"
+version = "0.23.1"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "anthropic-0.17.0-py3-none-any.whl", hash = "sha256:e582635d65d940cd0d957631d548aa2d8add4f261556bf53f8c1f6e5fa6082fd"},
-    {file = "anthropic-0.17.0.tar.gz", hash = "sha256:6f1958e7ffd706a19741260d6dfef3fd9af07d31a57b837792331b4ba0aa067c"},
+    {file = "anthropic-0.23.1-py3-none-any.whl", hash = "sha256:6dc5779dae83a5834864f4a4af0166c972b70f4cb8fd2765e1558282cc6d6242"},
+    {file = "anthropic-0.23.1.tar.gz", hash = "sha256:9325103702cbc96bb09d1b58c36bde75c726f6a01029fb4d85f41ebba07e9066"},
 ]
 
 [package.dependencies]
@@ -1204,4 +1204,4 @@ watchmedo = ["PyYAML (>=3.10)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.8.1,<4.0"
-content-hash = "b2372f2f83ea5a4bb48c34cec1f4c054e331aa63e0b8dfa3b8493f4045b8a1c7"
+content-hash = "60a40f50a762f49026cfeeb822de78cef08d2a60e585cc994c0f5dcb9498f6ab"

libs/partners/anthropic/pyproject.toml

@@ -13,7 +13,7 @@ license = "MIT"
 [tool.poetry.dependencies]
 python = ">=3.8.1,<4.0"
 langchain-core = "^0.1.33"
-anthropic = ">=0.17.0,<1"
+anthropic = ">=0.23.0,<1"
 defusedxml = { version = "^0.7.1", optional = true }
 
 [tool.poetry.group.test]

libs/partners/anthropic/tests/integration_tests/test_chat_models.py

@@ -217,7 +217,6 @@ async def test_astreaming() -> None:
 def test_tool_use() -> None:
     llm = ChatAnthropic(
         model="claude-3-opus-20240229",
-        default_headers={"anthropic-beta": "tools-2024-04-04"},
     )
 
     llm_with_tools = llm.bind_tools(
@@ -240,7 +239,6 @@ def test_tool_use() -> None:
 def test_with_structured_output() -> None:
     llm = ChatAnthropic(
         model="claude-3-opus-20240229",
-        default_headers={"anthropic-beta": "tools-2024-04-04"},
     )
 
     structured_llm = llm.with_structured_output(