langchain-ai · SokiKawashima · Nov 1, 2024
diff --git a/README.md b/README.md
@@ -91,7 +91,7 @@ tools = [search]
 
 tool_node = ToolNode(tools)
 
-model = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0).bind_tools(tools)
+model = ChatAnthropic(model="claude-3-5-sonnet-20241022", temperature=0).bind_tools(tools)
 
 # Define the function that determines whether to continue or not
 def should_continue(state: MessagesState) -> Literal["tools", END]:

diff --git a/docs/docs/cloud/quick_start.md b/docs/docs/cloud/quick_start.md
@@ -61,7 +61,7 @@ First, let's set create all of the necessary files for our LangGraph application
         from langchain_community.tools.tavily_search import TavilySearchResults
         from langgraph.prebuilt import create_react_agent
 
-        model = ChatAnthropic(model="claude-3-5-sonnet-20240620")
+        model = ChatAnthropic(model="claude-3-5-sonnet-20241022")
 
         tools = [TavilySearchResults(max_results=2)]
 
@@ -78,7 +78,7 @@ First, let's set create all of the necessary files for our LangGraph application
         import { createReactAgent } from "@langchain/langgraph/prebuilt";
 
         const model = new ChatAnthropic({
-          model: "claude-3-5-sonnet-20240620",
+          model: "claude-3-5-sonnet-20241022",
         });
 
         const tools = [

diff --git a/docs/docs/how-tos/cross-thread-persistence.ipynb b/docs/docs/how-tos/cross-thread-persistence.ipynb
@@ -155,7 +155,7 @@
     "from langgraph.store.base import BaseStore\n",
     "\n",
     "\n",
-    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "\n",
     "\n",
     "# NOTE: we're passing the Store param to the node --\n",

diff --git a/docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb b/docs/docs/how-tos/human_in_the_loop/breakpoints.ipynb
@@ -288,7 +288,7 @@
     "\n",
     "# Set up the model\n",
     "\n",
-    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "model = model.bind_tools(tools)\n",
     "\n",
     "\n",

diff --git a/docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb b/docs/docs/how-tos/human_in_the_loop/edit-graph-state.ipynb
@@ -297,7 +297,7 @@
     "\n",
     "# Set up the model\n",
     "\n",
-    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "model = model.bind_tools(tools)\n",
     "\n",
     "\n",

diff --git a/docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb b/docs/docs/how-tos/human_in_the_loop/review-tool-calls.ipynb
@@ -136,7 +136,7 @@
     "    return \"Sunny!\"\n",
     "\n",
     "\n",
-    "model = ChatAnthropic(model_name=\"claude-3-5-sonnet-20240620\").bind_tools(\n",
+    "model = ChatAnthropic(model_name=\"claude-3-5-sonnet-20241022\").bind_tools(\n",
     "    [weather_search]\n",
     ")\n",
     "\n",

diff --git a/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb b/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb
@@ -377,7 +377,7 @@
     "from langchain_anthropic import ChatAnthropic\n",
     "from langchain_openai import ChatOpenAI\n",
     "\n",
-    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "model = ChatOpenAI(model=\"gpt-4o\")\n",
     "\n",
     "from pydantic import BaseModel\n",

diff --git a/docs/docs/how-tos/map-reduce.ipynb b/docs/docs/how-tos/map-reduce.ipynb
@@ -166,7 +166,7 @@
     "    id: int = Field(description=\"Index of the best joke, starting with 0\", ge=0)\n",
     "\n",
     "\n",
-    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "\n",
     "# Graph components: define the components that will make up the graph\n",
     "\n",

diff --git a/docs/docs/how-tos/persistence.ipynb b/docs/docs/how-tos/persistence.ipynb
@@ -142,7 +142,7 @@
    "source": [
     "from langchain_anthropic import ChatAnthropic\n",
     "\n",
-    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")"
+    "model = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")"
    ]
   },
   {

diff --git a/docs/docs/how-tos/tool-calling-errors.ipynb b/docs/docs/how-tos/tool-calling-errors.ipynb
@@ -414,7 +414,7 @@
     "model = ChatAnthropic(model=\"claude-3-haiku-20240307\", temperature=0)\n",
     "model_with_tools = model.bind_tools([master_haiku_generator])\n",
     "\n",
-    "better_model = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\", temperature=0)\n",
+    "better_model = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\", temperature=0)\n",
     "better_model_with_tools = better_model.bind_tools([master_haiku_generator])\n",
     "\n",
     "\n",

diff --git a/docs/docs/tutorials/introduction.ipynb b/docs/docs/tutorials/introduction.ipynb
@@ -154,7 +154,7 @@
    "source": [
     "from langchain_anthropic import ChatAnthropic\n",
     "\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "\n",
     "\n",
     "def chatbot(state: State):\n",
@@ -340,7 +340,7 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "\n",
     "\n",
     "def chatbot(state: State):\n",
@@ -475,7 +475,7 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "# Modification: tell the LLM which tools it can call\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
@@ -753,7 +753,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -846,7 +846,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1076,7 +1076,7 @@
     {
      "data": {
       "text/plain": [
-       "StateSnapshot(values={'messages': [HumanMessage(content='Hi there! My name is Will.', additional_kwargs={}, response_metadata={}, id='8c1ca919-c553-4ebf-95d4-b59a2d61e078'), AIMessage(content=\"Hello Will! It's nice to meet you. How can I assist you today? Is there anything specific you'd like to know or discuss?\", additional_kwargs={}, response_metadata={'id': 'msg_01WTQebPhNwmMrmmWojJ9KXJ', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 405, 'output_tokens': 32}}, id='run-58587b77-8c82-41e6-8a90-d62c444a261d-0', usage_metadata={'input_tokens': 405, 'output_tokens': 32, 'total_tokens': 437}), HumanMessage(content='Remember my name?', additional_kwargs={}, response_metadata={}, id='daba7df6-ad75-4d6b-8057-745881cea1ca'), AIMessage(content=\"Of course, I remember your name, Will. I always try to pay attention to important details that users share with me. Is there anything else you'd like to talk about or any questions you have? I'm here to help with a wide range of topics or tasks.\", additional_kwargs={}, response_metadata={'id': 'msg_01E41KitY74HpENRgXx94vag', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 444, 'output_tokens': 58}}, id='run-ffeaae5c-4d2d-4ddb-bd59-5d5cbf2a5af8-0', usage_metadata={'input_tokens': 444, 'output_tokens': 58, 'total_tokens': 502})]}, next=(), config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef7d06e-93e0-6acc-8004-f2ac846575d2'}}, metadata={'source': 'loop', 'writes': {'chatbot': {'messages': [AIMessage(content=\"Of course, I remember your name, Will. I always try to pay attention to important details that users share with me. Is there anything else you'd like to talk about or any questions you have? I'm here to help with a wide range of topics or tasks.\", additional_kwargs={}, response_metadata={'id': 'msg_01E41KitY74HpENRgXx94vag', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 444, 'output_tokens': 58}}, id='run-ffeaae5c-4d2d-4ddb-bd59-5d5cbf2a5af8-0', usage_metadata={'input_tokens': 444, 'output_tokens': 58, 'total_tokens': 502})]}}, 'step': 4, 'parents': {}}, created_at='2024-09-27T19:30:10.820758+00:00', parent_config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef7d06e-859f-6206-8003-e1bd3c264b8f'}}, tasks=())"
+       "StateSnapshot(values={'messages': [HumanMessage(content='Hi there! My name is Will.', additional_kwargs={}, response_metadata={}, id='8c1ca919-c553-4ebf-95d4-b59a2d61e078'), AIMessage(content=\"Hello Will! It's nice to meet you. How can I assist you today? Is there anything specific you'd like to know or discuss?\", additional_kwargs={}, response_metadata={'id': 'msg_01WTQebPhNwmMrmmWojJ9KXJ', 'model': 'claude-3-5-sonnet-20241022', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 405, 'output_tokens': 32}}, id='run-58587b77-8c82-41e6-8a90-d62c444a261d-0', usage_metadata={'input_tokens': 405, 'output_tokens': 32, 'total_tokens': 437}), HumanMessage(content='Remember my name?', additional_kwargs={}, response_metadata={}, id='daba7df6-ad75-4d6b-8057-745881cea1ca'), AIMessage(content=\"Of course, I remember your name, Will. I always try to pay attention to important details that users share with me. Is there anything else you'd like to talk about or any questions you have? I'm here to help with a wide range of topics or tasks.\", additional_kwargs={}, response_metadata={'id': 'msg_01E41KitY74HpENRgXx94vag', 'model': 'claude-3-5-sonnet-20241022', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 444, 'output_tokens': 58}}, id='run-ffeaae5c-4d2d-4ddb-bd59-5d5cbf2a5af8-0', usage_metadata={'input_tokens': 444, 'output_tokens': 58, 'total_tokens': 502})]}, next=(), config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef7d06e-93e0-6acc-8004-f2ac846575d2'}}, metadata={'source': 'loop', 'writes': {'chatbot': {'messages': [AIMessage(content=\"Of course, I remember your name, Will. I always try to pay attention to important details that users share with me. Is there anything else you'd like to talk about or any questions you have? I'm here to help with a wide range of topics or tasks.\", additional_kwargs={}, response_metadata={'id': 'msg_01E41KitY74HpENRgXx94vag', 'model': 'claude-3-5-sonnet-20241022', 'stop_reason': 'end_turn', 'stop_sequence': None, 'usage': {'input_tokens': 444, 'output_tokens': 58}}, id='run-ffeaae5c-4d2d-4ddb-bd59-5d5cbf2a5af8-0', usage_metadata={'input_tokens': 444, 'output_tokens': 58, 'total_tokens': 502})]}}, 'step': 4, 'parents': {}}, created_at='2024-09-27T19:30:10.820758+00:00', parent_config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef7d06e-859f-6206-8003-e1bd3c264b8f'}}, tasks=())"
       ]
      },
      "execution_count": 26,
@@ -1150,7 +1150,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1220,7 +1220,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1471,7 +1471,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1546,7 +1546,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -2135,7 +2135,7 @@
    "source": [
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "# We can bind the llm to a tool definition, a pydantic model, or a json schema\n",
     "llm_with_tools = llm.bind_tools(tools + [RequestAssistance])\n",
     "\n",
@@ -2445,7 +2445,7 @@
      "data": {
       "text/plain": [
        "[HumanMessage(content='I need some expert guidance for building this AI agent. Could you request assistance for me?', additional_kwargs={}, response_metadata={}, id='3f28f959-9ab7-489a-9c58-7ed1b49cedf3'),\n",
-       " AIMessage(content=[{'text': \"Certainly! I understand that you need expert guidance for building an AI agent. I'll use the RequestAssistance function to escalate your request to an expert who can provide you with the specialized knowledge and support you need. Let me do that for you right away.\", 'type': 'text'}, {'id': 'toolu_01Mo3N2c1byuSZwT1vyJWRia', 'input': {'request': 'The user needs expert guidance for building an AI agent. They require specialized knowledge and support in AI development and implementation.'}, 'name': 'RequestAssistance', 'type': 'tool_use'}], additional_kwargs={}, response_metadata={'id': 'msg_01VRnZvVbgsVRbQaQuvsziDx', 'model': 'claude-3-5-sonnet-20240620', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 516, 'output_tokens': 130}}, id='run-4e3f7906-5887-40d9-9267-5beefe7b3b76-0', tool_calls=[{'name': 'RequestAssistance', 'args': {'request': 'The user needs expert guidance for building an AI agent. They require specialized knowledge and support in AI development and implementation.'}, 'id': 'toolu_01Mo3N2c1byuSZwT1vyJWRia', 'type': 'tool_call'}], usage_metadata={'input_tokens': 516, 'output_tokens': 130, 'total_tokens': 646}),\n",
+       " AIMessage(content=[{'text': \"Certainly! I understand that you need expert guidance for building an AI agent. I'll use the RequestAssistance function to escalate your request to an expert who can provide you with the specialized knowledge and support you need. Let me do that for you right away.\", 'type': 'text'}, {'id': 'toolu_01Mo3N2c1byuSZwT1vyJWRia', 'input': {'request': 'The user needs expert guidance for building an AI agent. They require specialized knowledge and support in AI development and implementation.'}, 'name': 'RequestAssistance', 'type': 'tool_use'}], additional_kwargs={}, response_metadata={'id': 'msg_01VRnZvVbgsVRbQaQuvsziDx', 'model': 'claude-3-5-sonnet-20241022', 'stop_reason': 'tool_use', 'stop_sequence': None, 'usage': {'input_tokens': 516, 'output_tokens': 130}}, id='run-4e3f7906-5887-40d9-9267-5beefe7b3b76-0', tool_calls=[{'name': 'RequestAssistance', 'args': {'request': 'The user needs expert guidance for building an AI agent. They require specialized knowledge and support in AI development and implementation.'}, 'id': 'toolu_01Mo3N2c1byuSZwT1vyJWRia', 'type': 'tool_call'}], usage_metadata={'input_tokens': 516, 'output_tokens': 130, 'total_tokens': 646}),\n",
        " ToolMessage(content=\"We, the experts are here to help! We'd recommend you check out LangGraph to build your agent. It's much more reliable and extensible than simple autonomous agents.\", id='8583b899-d898-4051-9f36-f5e5d11e9a37', tool_call_id='toolu_01Mo3N2c1byuSZwT1vyJWRia')]"
       ]
      },
@@ -2565,7 +2565,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "# We can bind the llm to a tool definition, a pydantic model, or a json schema\n",
     "llm_with_tools = llm.bind_tools(tools + [RequestAssistance])\n",
     "\n",
@@ -2697,7 +2697,7 @@
     "\n",
     "tool = TavilySearchResults(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "# We can bind the llm to a tool definition, a pydantic model, or a json schema\n",
     "llm_with_tools = llm.bind_tools(tools + [RequestAssistance])\n",
     "\n",

diff --git a/docs/docs/tutorials/reflexion/reflexion.ipynb b/docs/docs/tutorials/reflexion/reflexion.ipynb
@@ -95,7 +95,7 @@
    "source": [
     "from langchain_anthropic import ChatAnthropic\n",
     "\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20241022\")\n",
     "# You could also use OpenAI or another provider\n",
     "# from langchain_openai import ChatOpenAI\n",
     "\n",

diff --git a/libs/cli/js-examples/src/agent/graph.ts b/libs/cli/js-examples/src/agent/graph.ts
@@ -29,7 +29,7 @@ const callModel = async (
    * ```ts
    * import { ChatAnthropic } from "@langchain/anthropic";
    * const model = new ChatAnthropic({
-   *   model: "claude-3-5-sonnet-20240620",
+   *   model: "claude-3-5-sonnet-20241022",
    *   apiKey: process.env.ANTHROPIC_API_KEY,
    * });
    * const res = await model.invoke(state.messages);

diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md
@@ -91,7 +91,7 @@ tools = [search]
 
 tool_node = ToolNode(tools)
 
-model = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0).bind_tools(tools)
+model = ChatAnthropic(model="claude-3-5-sonnet-20241022", temperature=0).bind_tools(tools)
 
 # Define the function that determines whether to continue or not
 def should_continue(state: MessagesState) -> Literal["tools", END]: