Merge branch 'main' into v1

docs/docs/tutorials/get-started/1-build-basic-chatbot.md

@@ -112,7 +112,7 @@ This tells the graph to terminate after running the chatbot node.
 ## 6. Compile the graph
 
 Before running the graph, we'll need to compile it. We can do so by calling `compile()`
-on the graph builder. This creates a `CompiledGraph` we can invoke on our state.
+on the graph builder. This creates a `CompiledStateGraph` we can invoke on our state.
 
 ```python
 graph = graph_builder.compile()

docs/docs/tutorials/get-started/2-add-tools.md

@@ -23,12 +23,16 @@ pip install -U langchain-tavily
 
 Configure your environment with your search engine API key:
 
-```bash
+```python
+def _set_env(var: str):
+    if not os.environ.get(var):
+        os.environ[var] = getpass.getpass(f"{var}: ")
+
 _set_env("TAVILY_API_KEY")
 ```
 
 ```
-TAVILY_API_KEY:  ········
+os.environ["TAVILY_API_KEY"]:  "········"
 ```
 
 ## 3. Define the tool

docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb

@@ -49,7 +49,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U langgraph langchain_community langchain_anthropic langchain_experimental"
+    "%pip install -U langgraph langchain_community langchain_anthropic langchain-tavily langchain_experimental"
    ]
   },
   {
@@ -121,10 +121,10 @@
     "from typing import Annotated, List\n",
     "\n",
     "from langchain_community.document_loaders import WebBaseLoader\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.tools import tool\n",
     "\n",
-    "tavily_tool = TavilySearchResults(max_results=5)\n",
+    "tavily_tool = TavilySearch(max_results=5)\n",
     "\n",
     "\n",
     "@tool\n",

docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb

@@ -37,7 +37,7 @@
    "outputs": [],
    "source": [
     "%%capture --no-stderr\n",
-    "%pip install -U langchain_community langchain_anthropic langchain_experimental matplotlib langgraph"
+    "%pip install -U langchain_community langchain_anthropic langchain-tavily langchain_experimental matplotlib langgraph"
    ]
   },
   {
@@ -92,11 +92,11 @@
    "source": [
     "from typing import Annotated\n",
     "\n",
-    "from langchain_community.tools.tavily_search import TavilySearchResults\n",
+    "from langchain_tavily import TavilySearch\n",
     "from langchain_core.tools import tool\n",
     "from langchain_experimental.utilities import PythonREPL\n",
     "\n",
-    "tavily_tool = TavilySearchResults(max_results=5)\n",
+    "tavily_tool = TavilySearch(max_results=5)\n",
     "\n",
     "# Warning: This executes code locally, which can be unsafe when not sandboxed\n",
     "\n",