[Docs] Add ruff linting to .ipynb files (#645)

examples/chat_agent_executor_with_function_calling/anthropic.ipynb

@@ -47,8 +47,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -165,8 +165,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -252,7 +253,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",

examples/chat_agent_executor_with_function_calling/base.ipynb

@@ -46,8 +46,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -193,8 +193,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -236,9 +237,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.prebuilt import ToolInvocation\n",
     "from langchain_core.messages import ToolMessage\n",
     "\n",
+    "from langgraph.prebuilt import ToolInvocation\n",
+    "\n",
     "\n",
     "# Define the function that determines whether to continue or not\n",
     "def should_continue(state):\n",
@@ -299,7 +301,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",
@@ -365,7 +367,7 @@
     "\n",
     "try:\n",
     "    display(Image(app.get_graph(xray=True).draw_mermaid_png()))\n",
-    "except:\n",
+    "except Exception:\n",
     "    # This requires some extra dependencies and is optional\n",
     "    pass"
    ]

examples/chat_agent_executor_with_function_calling/dynamically-returning-directly.ipynb

@@ -58,8 +58,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -230,8 +230,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -273,8 +274,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.prebuilt import ToolInvocation\n",
-    "from langchain_core.messages import ToolMessage"
+    "from langchain_core.messages import ToolMessage\n",
+    "\n",
+    "from langgraph.prebuilt import ToolInvocation"
    ]
   },
   {
@@ -390,7 +392,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",
@@ -460,7 +462,7 @@
     "\n",
     "try:\n",
     "    display(Image(app.get_graph(xray=True).draw_mermaid_png()))\n",
-    "except:\n",
+    "except Exception:\n",
     "    # This requires some extra dependencies and is optional\n",
     "    pass"
    ]

examples/chat_agent_executor_with_function_calling/force-calling-a-tool-first.ipynb

@@ -50,8 +50,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "\n",
     "def _set_env(var: str):\n",
@@ -208,8 +208,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -251,9 +252,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.prebuilt import ToolInvocation\n",
     "from langchain_core.messages import ToolMessage\n",
     "\n",
+    "from langgraph.prebuilt import ToolInvocation\n",
+    "\n",
     "\n",
     "# Define the function that determines whether to continue or not\n",
     "def should_continue(state: AgentState):\n",
@@ -375,7 +377,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",

examples/chat_agent_executor_with_function_calling/high-level-tools.ipynb

@@ -30,10 +30,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_openai import ChatOpenAI\n",
     "from langchain_community.tools.tavily_search import TavilySearchResults\n",
-    "from langgraph.prebuilt import create_react_agent\n",
-    "from langchain_core.messages import HumanMessage"
+    "from langchain_core.messages import HumanMessage\n",
+    "from langchain_openai import ChatOpenAI\n",
+    "\n",
+    "from langgraph.prebuilt import create_react_agent"
    ]
   },
   {

examples/chat_agent_executor_with_function_calling/human-in-the-loop.ipynb

@@ -59,8 +59,8 @@
     }
    ],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -214,8 +214,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -257,9 +258,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.prebuilt import ToolInvocation\n",
     "from langchain_core.messages import ToolMessage\n",
     "\n",
+    "from langgraph.prebuilt import ToolInvocation\n",
+    "\n",
     "\n",
     "# Define the function that determines whether to continue or not\n",
     "def should_continue(state):\n",
@@ -344,8 +346,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",
@@ -411,7 +413,7 @@
     "\n",
     "try:\n",
     "    display(Image(app.get_graph(xray=True).draw_mermaid_png()))\n",
-    "except:\n",
+    "except Exception:\n",
     "    # This requires some extra dependencies and is optional\n",
     "    pass"
    ]

examples/chat_agent_executor_with_function_calling/managing-agent-steps.ipynb

@@ -50,8 +50,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -197,8 +197,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -240,9 +241,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.prebuilt import ToolInvocation\n",
     "from langchain_core.messages import ToolMessage\n",
     "\n",
+    "from langgraph.prebuilt import ToolInvocation\n",
+    "\n",
     "\n",
     "# Define the function that determines whether to continue or not\n",
     "def should_continue(state):\n",
@@ -340,7 +342,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",
@@ -406,7 +408,7 @@
     "\n",
     "try:\n",
     "    display(Image(app.get_graph(xray=True).draw_mermaid_png()))\n",
-    "except:\n",
+    "except Exception:\n",
     "    # This requires some extra dependencies and is optional\n",
     "    pass"
    ]

examples/chat_agent_executor_with_function_calling/prebuilt-tool-node.ipynb

@@ -47,8 +47,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -174,8 +174,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -261,7 +262,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",

examples/chat_agent_executor_with_function_calling/respond-in-format.ipynb

@@ -39,8 +39,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing_extensions import TypedDict\n",
     "from typing import Annotated\n",
+    "\n",
+    "from typing_extensions import TypedDict\n",
+    "\n",
     "from langgraph.graph.message import add_messages\n",
     "\n",
     "# Add messages essentially does this with more\n",
@@ -190,8 +192,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
     "import getpass\n",
+    "import os\n",
     "\n",
     "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"OpenAI API Key:\")\n",
     "os.environ[\"TAVILY_API_KEY\"] = getpass.getpass(\"Tavily API Key:\")"
@@ -352,8 +354,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import TypedDict, Annotated, Sequence\n",
     "import operator\n",
+    "from typing import Annotated, Sequence, TypedDict\n",
+    "\n",
     "from langchain_core.messages import BaseMessage\n",
     "\n",
     "\n",
@@ -399,10 +402,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.prebuilt import ToolInvocation\n",
-    "from langchain_core.messages import ToolMessage\n",
     "from typing import Literal\n",
     "\n",
+    "from langchain_core.messages import ToolMessage\n",
+    "\n",
+    "from langgraph.prebuilt import ToolInvocation\n",
+    "\n",
     "\n",
     "# Define the function that determines whether to continue or not\n",
     "def should_continue(state) -> Literal[\"continue\", \"end\"]:\n",
@@ -478,7 +483,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langgraph.graph import StateGraph, END\n",
+    "from langgraph.graph import END, StateGraph\n",
     "\n",
     "# Define a new graph\n",
     "workflow = StateGraph(AgentState)\n",
@@ -544,7 +549,7 @@
     "\n",
     "try:\n",
     "    display(Image(app.get_graph(xray=True).draw_mermaid_png()))\n",
-    "except:\n",
+    "except Exception:\n",
     "    # This requires some extra dependencies and is optional\n",
     "    pass"
    ]