From 14e721509018f10c698ee837e28397de6b40bd81 Mon Sep 17 00:00:00 2001
From: ccurme <chester.curme@gmail.com>
Date: Fri, 25 Apr 2025 17:54:37 -0400
Subject: [PATCH] docs: use langchain-tavily in quickstart (#4412)

We want to deprecate `TavilySearchResults` in langchain-community in
favor of `TavilySearch` in langchain-tavily.

Also update quickstart to use `init_chat_model`.
---
 ...4-67cc-4371-9dd1-221e07593148.msgpack.zlib |   2 +-
 ...9-d4b4-46db-bb30-f895fdf4411d.msgpack.zlib |   2 +-
 ...e-c07d-4dd0-a97b-0ce3a723eea5.msgpack.zlib |   1 -
 ...a-b191-4bde-858a-e33a74a48c55.msgpack.zlib |   2 +-
 ...2-c011-4b7f-90b1-8e89e032322d.msgpack.zlib |   2 +-
 ...6-8d34-4a2d-aded-1cf4bb0ca590.msgpack.zlib |   2 +-
 ...e-cc76-4a0f-8307-01e619483b3e.msgpack.zlib |   2 +-
 ...0-ab7e-415b-a5e2-eddec6d9f3a6.msgpack.zlib |   2 +-
 ...6-7a4e-466f-8d41-b1a3d07be8bc.msgpack.zlib |   1 +
 ...9-e5d2-497f-929e-c548d7bcbf77.msgpack.zlib |   2 +-
 ...1-bfcd-4508-b02a-099e3d9627fd.msgpack.zlib |   1 -
 ...8-f8e0-496d-9bd6-37198fb4776e.msgpack.zlib |   2 +-
 ...b-e674-44ef-a46e-17b1a8d2381a.msgpack.zlib |   2 +-
 ...8-53d7-47f3-801b-f47bcf2185a0.msgpack.zlib |   2 +-
 docs/docs/tutorials/introduction.ipynb        | 119 ++++++++++--------
 docs/poetry.lock                              |  87 +++++++++++--
 docs/pyproject.toml                           |   1 +
 17 files changed, 152 insertions(+), 80 deletions(-)
 delete mode 100644 docs/cassettes/introduction_35c8978e-c07d-4dd0-a97b-0ce3a723eea5.msgpack.zlib
 create mode 100644 docs/cassettes/introduction_a7cc7306-7a4e-466f-8d41-b1a3d07be8bc.msgpack.zlib
 delete mode 100644 docs/cassettes/introduction_c5382e81-bfcd-4508-b02a-099e3d9627fd.msgpack.zlib

diff --git a/docs/cassettes/introduction_051dc374-67cc-4371-9dd1-221e07593148.msgpack.zlib b/docs/cassettes/introduction_051dc374-67cc-4371-9dd1-221e07593148.msgpack.zlib
index 626117679..7f9e0dbb8 100644
--- a/docs/cassettes/introduction_051dc374-67cc-4371-9dd1-221e07593148.msgpack.zlib
+++ b/docs/cassettes/introduction_051dc374-67cc-4371-9dd1-221e07593148.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_10701e49-d4b4-46db-bb30-f895fdf4411d.msgpack.zlib b/docs/cassettes/introduction_10701e49-d4b4-46db-bb30-f895fdf4411d.msgpack.zlib
index b23b8c0e7..5f1643569 100644
--- a/docs/cassettes/introduction_10701e49-d4b4-46db-bb30-f895fdf4411d.msgpack.zlib
+++ b/docs/cassettes/introduction_10701e49-d4b4-46db-bb30-f895fdf4411d.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_35c8978e-c07d-4dd0-a97b-0ce3a723eea5.msgpack.zlib b/docs/cassettes/introduction_35c8978e-c07d-4dd0-a97b-0ce3a723eea5.msgpack.zlib
deleted file mode 100644
index 79b725f3b..000000000
--- a/docs/cassettes/introduction_35c8978e-c07d-4dd0-a97b-0ce3a723eea5.msgpack.zlib
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/docs/cassettes/introduction_4527cf9a-b191-4bde-858a-e33a74a48c55.msgpack.zlib b/docs/cassettes/introduction_4527cf9a-b191-4bde-858a-e33a74a48c55.msgpack.zlib
index b9bea8edb..3ee5dda60 100644
--- a/docs/cassettes/introduction_4527cf9a-b191-4bde-858a-e33a74a48c55.msgpack.zlib
+++ b/docs/cassettes/introduction_4527cf9a-b191-4bde-858a-e33a74a48c55.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_69071b02-c011-4b7f-90b1-8e89e032322d.msgpack.zlib b/docs/cassettes/introduction_69071b02-c011-4b7f-90b1-8e89e032322d.msgpack.zlib
index a69fc1008..385895cea 100644
--- a/docs/cassettes/introduction_69071b02-c011-4b7f-90b1-8e89e032322d.msgpack.zlib
+++ b/docs/cassettes/introduction_69071b02-c011-4b7f-90b1-8e89e032322d.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_6a385b06-8d34-4a2d-aded-1cf4bb0ca590.msgpack.zlib b/docs/cassettes/introduction_6a385b06-8d34-4a2d-aded-1cf4bb0ca590.msgpack.zlib
index 0049ee903..03e69d13b 100644
--- a/docs/cassettes/introduction_6a385b06-8d34-4a2d-aded-1cf4bb0ca590.msgpack.zlib
+++ b/docs/cassettes/introduction_6a385b06-8d34-4a2d-aded-1cf4bb0ca590.msgpack.zlib
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/docs/cassettes/introduction_7df33d9e-cc76-4a0f-8307-01e619483b3e.msgpack.zlib b/docs/cassettes/introduction_7df33d9e-cc76-4a0f-8307-01e619483b3e.msgpack.zlib
index 3f3c5747f..429390275 100644
--- a/docs/cassettes/introduction_7df33d9e-cc76-4a0f-8307-01e619483b3e.msgpack.zlib
+++ b/docs/cassettes/introduction_7df33d9e-cc76-4a0f-8307-01e619483b3e.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_9f318020-ab7e-415b-a5e2-eddec6d9f3a6.msgpack.zlib b/docs/cassettes/introduction_9f318020-ab7e-415b-a5e2-eddec6d9f3a6.msgpack.zlib
index f14d5edc4..66a6327d0 100644
--- a/docs/cassettes/introduction_9f318020-ab7e-415b-a5e2-eddec6d9f3a6.msgpack.zlib
+++ b/docs/cassettes/introduction_9f318020-ab7e-415b-a5e2-eddec6d9f3a6.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_a7cc7306-7a4e-466f-8d41-b1a3d07be8bc.msgpack.zlib b/docs/cassettes/introduction_a7cc7306-7a4e-466f-8d41-b1a3d07be8bc.msgpack.zlib
new file mode 100644
index 000000000..6ea03ee0f
--- /dev/null
+++ b/docs/cassettes/introduction_a7cc7306-7a4e-466f-8d41-b1a3d07be8bc.msgpack.zlib
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/docs/cassettes/introduction_acbec099-e5d2-497f-929e-c548d7bcbf77.msgpack.zlib b/docs/cassettes/introduction_acbec099-e5d2-497f-929e-c548d7bcbf77.msgpack.zlib
index 00a9173f4..8387817ed 100644
--- a/docs/cassettes/introduction_acbec099-e5d2-497f-929e-c548d7bcbf77.msgpack.zlib
+++ b/docs/cassettes/introduction_acbec099-e5d2-497f-929e-c548d7bcbf77.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_c5382e81-bfcd-4508-b02a-099e3d9627fd.msgpack.zlib b/docs/cassettes/introduction_c5382e81-bfcd-4508-b02a-099e3d9627fd.msgpack.zlib
deleted file mode 100644
index e8bc8459f..000000000
--- a/docs/cassettes/introduction_c5382e81-bfcd-4508-b02a-099e3d9627fd.msgpack.zlib
+++ /dev/null
@@ -1 +0,0 @@
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
\ No newline at end of file
diff --git a/docs/cassettes/introduction_dba1b168-f8e0-496d-9bd6-37198fb4776e.msgpack.zlib b/docs/cassettes/introduction_dba1b168-f8e0-496d-9bd6-37198fb4776e.msgpack.zlib
index aa5ff8b76..94b5a178c 100644
--- a/docs/cassettes/introduction_dba1b168-f8e0-496d-9bd6-37198fb4776e.msgpack.zlib
+++ b/docs/cassettes/introduction_dba1b168-f8e0-496d-9bd6-37198fb4776e.msgpack.zlib
@@ -1 +1 @@
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\ No newline at end of file
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diff --git a/docs/cassettes/introduction_df6d81bb-e674-44ef-a46e-17b1a8d2381a.msgpack.zlib b/docs/cassettes/introduction_df6d81bb-e674-44ef-a46e-17b1a8d2381a.msgpack.zlib
index c88c4d311..6e179ba80 100644
--- a/docs/cassettes/introduction_df6d81bb-e674-44ef-a46e-17b1a8d2381a.msgpack.zlib
+++ b/docs/cassettes/introduction_df6d81bb-e674-44ef-a46e-17b1a8d2381a.msgpack.zlib
@@ -1 +1 @@
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diff --git a/docs/cassettes/introduction_f5447778-53d7-47f3-801b-f47bcf2185a0.msgpack.zlib b/docs/cassettes/introduction_f5447778-53d7-47f3-801b-f47bcf2185a0.msgpack.zlib
index 870503059..28ee2fb76 100644
--- a/docs/cassettes/introduction_f5447778-53d7-47f3-801b-f47bcf2185a0.msgpack.zlib
+++ b/docs/cassettes/introduction_f5447778-53d7-47f3-801b-f47bcf2185a0.msgpack.zlib
@@ -1 +1 @@
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\ No newline at end of file
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\ No newline at end of file
diff --git a/docs/docs/tutorials/introduction.ipynb b/docs/docs/tutorials/introduction.ipynb
index 7d35c9172..7d1fd7eed 100644
--- a/docs/docs/tutorials/introduction.ipynb
+++ b/docs/docs/tutorials/introduction.ipynb
@@ -30,7 +30,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U langgraph langsmith langchain_anthropic"
+    "%pip install -U langgraph langsmith \"langchain[anthropic]\""
    ]
   },
   {
@@ -129,13 +129,13 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bc8c9137-8261-42ea-8e83-3590981d23e2",
+   "id": "f66edbfb-f374-4998-90a3-78bc8f18e0aa",
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain.chat_models import init_chat_model\n",
     "\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "\n",
     "\n",
     "def chatbot(state: State):\n",
@@ -217,12 +217,12 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "9403859a-f25a-46b4-a672-46a93f8a3cba",
+   "id": "0eb93a3b-5378-479f-bc32-19afed9c3270",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": "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",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -306,7 +306,7 @@
     "```python\n",
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain.chat_models import init_chat_model\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.graph import StateGraph\n",
@@ -320,7 +320,7 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "\n",
     "\n",
     "def chatbot(state: State):\n",
@@ -364,7 +364,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U tavily-python langchain_community"
+    "%pip install -U langchain-tavily"
    ]
   },
   {
@@ -395,28 +395,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
-   "id": "35c8978e-c07d-4dd0-a97b-0ce3a723eea5",
+   "execution_count": 10,
+   "id": "a7cc7306-7a4e-466f-8d41-b1a3d07be8bc",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "[{'url': 'https://medium.com/@cplog/introduction-to-langgraph-a-beginners-guide-14f9be027141',\n",
-       "  'content': 'Nodes: Nodes are the building blocks of your LangGraph. Each node represents a function or a computation step. You define nodes to perform specific tasks, such as processing input, making ...'},\n",
-       " {'url': 'https://saksheepatil05.medium.com/demystifying-langgraph-a-beginner-friendly-dive-into-langgraph-concepts-5ffe890ddac0',\n",
-       "  'content': 'Nodes (Tasks): Nodes are like the workstations on the assembly line. Each node performs a specific task on the product. In LangGraph, nodes are Python functions that take the current state, do some work, and return an updated state. Next, we define the nodes, each representing a task in our sandwich-making process.'}]"
+       "{'query': \"What's a 'node' in LangGraph?\",\n",
+       " 'follow_up_questions': None,\n",
+       " 'answer': None,\n",
+       " 'images': [],\n",
+       " 'results': [{'title': \"Introduction to LangGraph: A Beginner's Guide - Medium\",\n",
+       "   'url': 'https://medium.com/@cplog/introduction-to-langgraph-a-beginners-guide-14f9be027141',\n",
+       "   'content': 'Stateful Graph: LangGraph revolves around the concept of a stateful graph, where each node in the graph represents a step in your computation, and the graph maintains a state that is passed around and updated as the computation progresses. LangGraph supports conditional edges, allowing you to dynamically determine the next node to execute based on the current state of the graph. We define nodes for classifying the input, handling greetings, and handling search queries. def classify_input_node(state): LangGraph is a versatile tool for building complex, stateful applications with LLMs. By understanding its core concepts and working through simple examples, beginners can start to leverage its power for their projects. Remember to pay attention to state management, conditional edges, and ensuring there are no dead-end nodes in your graph.',\n",
+       "   'score': 0.7065353,\n",
+       "   'raw_content': None},\n",
+       "  {'title': 'LangGraph Tutorial: What Is LangGraph and How to Use It?',\n",
+       "   'url': 'https://www.datacamp.com/tutorial/langgraph-tutorial',\n",
+       "   'content': 'LangGraph is a library within the LangChain ecosystem that provides a framework for defining, coordinating, and executing multiple LLM agents (or chains) in a structured and efficient manner. By managing the flow of data and the sequence of operations, LangGraph allows developers to focus on the high-level logic of their applications rather than the intricacies of agent coordination. Whether you need a chatbot that can handle various types of user requests or a multi-agent system that performs complex tasks, LangGraph provides the tools to build exactly what you need. LangGraph significantly simplifies the development of complex LLM applications by providing a structured framework for managing state and coordinating agent interactions.',\n",
+       "   'score': 0.5008063,\n",
+       "   'raw_content': None}],\n",
+       " 'response_time': 1.38}"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain_tavily import TavilySearch\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool]\n",
     "tool.invoke(\"What's a 'node' in LangGraph?\")"
    ]
@@ -441,7 +452,7 @@
    "source": [
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
+    "from langchain.chat_models import init_chat_model\n",
     "from typing_extensions import TypedDict\n",
     "\n",
     "from langgraph.graph import StateGraph, START, END\n",
@@ -455,7 +466,7 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "# Modification: tell the LLM which tools it can call\n",
     "# highlight-next-line\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
@@ -712,8 +723,8 @@
     "```python\n",
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.messages import BaseMessage\n",
     "from typing_extensions import TypedDict\n",
     "\n",
@@ -729,9 +740,9 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -805,8 +816,8 @@
    "source": [
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.messages import BaseMessage\n",
     "from typing_extensions import TypedDict\n",
     "\n",
@@ -822,9 +833,9 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -856,7 +867,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 19,
    "id": "a06548bf-81fa-4436-b4c1-f68601fb4187",
    "metadata": {},
    "outputs": [],
@@ -1113,8 +1124,8 @@
     "```python\n",
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.messages import BaseMessage\n",
     "from typing_extensions import TypedDict\n",
     "\n",
@@ -1131,9 +1142,9 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1183,8 +1194,8 @@
    "source": [
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.tools import tool\n",
     "from typing_extensions import TypedDict\n",
     "\n",
@@ -1216,9 +1227,9 @@
     "    return human_response[\"data\"]\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool, human_assistance]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1482,8 +1493,8 @@
     "```python\n",
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.tools import tool\n",
     "from typing_extensions import TypedDict\n",
     "\n",
@@ -1508,9 +1519,9 @@
     "    return human_response[\"data\"]\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool, human_assistance]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1647,17 +1658,17 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",
     "from langgraph.graph import StateGraph, START, END\n",
     "from langgraph.prebuilt import ToolNode, tools_condition\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool, human_assistance]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -1929,8 +1940,8 @@
     "```python\n",
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.messages import ToolMessage\n",
     "from langchain_core.tools import InjectedToolCallId, tool\n",
     "from typing_extensions import TypedDict\n",
@@ -1978,9 +1989,9 @@
     "    return Command(update=state_update)\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool, human_assistance]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -2037,8 +2048,8 @@
    "source": [
     "from typing import Annotated\n",
     "\n",
-    "from langchain_anthropic import ChatAnthropic\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.messages import BaseMessage\n",
     "from typing_extensions import TypedDict\n",
     "\n",
@@ -2055,9 +2066,9 @@
     "graph_builder = StateGraph(State)\n",
     "\n",
     "\n",
-    "tool = TavilySearchResults(max_results=2)\n",
+    "tool = TavilySearch(max_results=2)\n",
     "tools = [tool]\n",
-    "llm = ChatAnthropic(model=\"claude-3-5-sonnet-20240620\")\n",
+    "llm = init_chat_model(\"anthropic:claude-3-5-sonnet-latest\")\n",
     "llm_with_tools = llm.bind_tools(tools)\n",
     "\n",
     "\n",
@@ -2464,7 +2475,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.3"
+   "version": "3.10.4"
   }
  },
  "nbformat": 4,
diff --git a/docs/poetry.lock b/docs/poetry.lock
index 818a8d6fb..ba5e235bd 100644
--- a/docs/poetry.lock
+++ b/docs/poetry.lock
@@ -3606,6 +3606,24 @@ langchain-core = ">=0.3.53,<1.0.0"
 openai = ">=1.68.2,<2.0.0"
 tiktoken = ">=0.7,<1"
 
+[[package]]
+name = "langchain-tavily"
+version = "0.1.5"
+description = "An integration package connecting Tavily and LangChain"
+optional = false
+python-versions = "<4.0,>=3.9"
+groups = ["test"]
+files = [
+    {file = "langchain_tavily-0.1.5-py3-none-any.whl", hash = "sha256:4960756b64969dc63b6994019b15fee6550a2b07d30a59952400c07d47dbcd41"},
+    {file = "langchain_tavily-0.1.5.tar.gz", hash = "sha256:09125611cb80ce41297b9e1dcc1045349f1854ce17fd8bd438b403a83feab229"},
+]
+
+[package.dependencies]
+aiohttp = ">=3.11.14,<4.0.0"
+langchain = ">=0.3.20,<0.4.0"
+langchain-core = ">=0.3.15,<0.4.0"
+mypy = ">=1.15.0,<2.0.0"
+
 [[package]]
 name = "langchain-text-splitters"
 version = "0.3.8"
@@ -3623,7 +3641,7 @@ langchain-core = ">=0.3.51,<1.0.0"
 
 [[package]]
 name = "langgraph"
-version = "0.3.33"
+version = "0.3.34"
 description = "Building stateful, multi-actor applications with LLMs"
 optional = false
 python-versions = ">=3.9.0,<4.0"
@@ -4669,6 +4687,60 @@ files = [
 [package.dependencies]
 typing-extensions = {version = ">=4.1.0", markers = "python_version < \"3.11\""}
 
+[[package]]
+name = "mypy"
+version = "1.15.0"
+description = "Optional static typing for Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["test"]
+files = [
+    {file = "mypy-1.15.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:979e4e1a006511dacf628e36fadfecbcc0160a8af6ca7dad2f5025529e082c13"},
+    {file = "mypy-1.15.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c4bb0e1bd29f7d34efcccd71cf733580191e9a264a2202b0239da95984c5b559"},
+    {file = "mypy-1.15.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:be68172e9fd9ad8fb876c6389f16d1c1b5f100ffa779f77b1fb2176fcc9ab95b"},
+    {file = "mypy-1.15.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c7be1e46525adfa0d97681432ee9fcd61a3964c2446795714699a998d193f1a3"},
+    {file = "mypy-1.15.0-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:2e2c2e6d3593f6451b18588848e66260ff62ccca522dd231cd4dd59b0160668b"},
+    {file = "mypy-1.15.0-cp310-cp310-win_amd64.whl", hash = "sha256:6983aae8b2f653e098edb77f893f7b6aca69f6cffb19b2cc7443f23cce5f4828"},
+    {file = "mypy-1.15.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:2922d42e16d6de288022e5ca321cd0618b238cfc5570e0263e5ba0a77dbef56f"},
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+    {file = "mypy-1.15.0-cp39-cp39-win_amd64.whl", hash = "sha256:d10d994b41fb3497719bbf866f227b3489048ea4bbbb5015357db306249f7980"},
+    {file = "mypy-1.15.0-py3-none-any.whl", hash = "sha256:5469affef548bd1895d86d3bf10ce2b44e33d86923c29e4d675b3e323437ea3e"},
+    {file = "mypy-1.15.0.tar.gz", hash = "sha256:404534629d51d3efea5c800ee7c42b72a6554d6c400e6a79eafe15d11341fd43"},
+]
+
+[package.dependencies]
+mypy_extensions = ">=1.0.0"
+tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
+typing_extensions = ">=4.6.0"
+
+[package.extras]
+dmypy = ["psutil (>=4.0)"]
+faster-cache = ["orjson"]
+install-types = ["pip"]
+mypyc = ["setuptools (>=50)"]
+reports = ["lxml"]
+
 [[package]]
 name = "mypy-extensions"
 version = "1.1.0"
@@ -5417,41 +5489,30 @@ files = [
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@@ -9060,4 +9121,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.10"
-content-hash = "6518a82118e019cf79a50ebe1147e203d6537fdafe29b58cb1b7b46d11fa10e5"
+content-hash = "4ea147f5c9060b856ea0a450ea78bb6666778d222dac2c3a3cf781b61f140bb6"
diff --git a/docs/pyproject.toml b/docs/pyproject.toml
index b6fc6521c..7b378ee9a 100644
--- a/docs/pyproject.toml
+++ b/docs/pyproject.toml
@@ -49,6 +49,7 @@ langchain-anthropic = "^0.3.8"
 langchain-nomic = "^0.1.3"
 langchain-fireworks = "^0.2.0"
 langchain-community = "^0.3.0"
+langchain-tavily = "^0.1.5"
 langchain-experimental = "^0.3.2"
 langchain-mistralai = "^0.2.6"
 langgraph-checkpoint-mongodb = "^0.1.0"