lint

Author: rlancemartin

examples/customer_support/src/agent/customer_support.ipynb

@@ -18,7 +18,6 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import getpass\n",
     "\n",
     "os.environ[\"ANTHROPIC_API_KEY\"] = \"\"\n",
     "os.environ[\"OPENAI_API_KEY\"] = \"\"\n",
@@ -55,12 +54,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from collections import defaultdict\n",
     "import datetime\n",
+    "from collections import defaultdict\n",
     "from typing import Callable\n",
     "\n",
     "from langchain_core.runnables import RunnableConfig\n",
-    "from langchain_core.tools import tool\n",
     "from langgraph.checkpoint.memory import MemorySaver\n",
     "from langgraph.prebuilt import create_react_agent\n",
     "from langgraph_swarm import create_handoff_tool, create_swarm\n",
@@ -196,7 +194,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from IPython.display import display, Image"
+    "from IPython.display import Image, display"
    ]
   },
   {

examples/customer_support/src/agent/customer_support.py

@@ -5,7 +5,6 @@
 from langchain_core.runnables import RunnableConfig
 from langchain_openai import ChatOpenAI
 from langgraph.prebuilt import create_react_agent
-
 from langgraph_swarm import create_handoff_tool, create_swarm
 
 model = ChatOpenAI(model="gpt-4o")

examples/research/src/agent/agent.ipynb

@@ -2025,10 +2025,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing_extensions import TypedDict\n",
-    "from langchain_core.messages import HumanMessage, AIMessage\n",
+    "from langchain_core.messages import HumanMessage\n",
     "from langchain_openai import ChatOpenAI\n",
-    "from langgraph.graph import StateGraph, START, END\n",
+    "from langgraph.graph import END, START, StateGraph\n",
+    "from typing_extensions import TypedDict\n",
     "\n",
     "\n",
     "# Define state schema for our joke generator\n",

examples/research/src/agent/configuration.py

@@ -1,8 +1,8 @@
 import os
-from pydantic import BaseModel, Field
-from typing import Any, Optional, Literal
+from typing import Any, Optional
 
 from langchain_core.runnables import RunnableConfig
+from pydantic import BaseModel, Field
 
 
 class Configuration(BaseModel):

examples/research/src/agent/utils.py

@@ -38,12 +38,13 @@ def print_stream(stream):
 
 def fetch_doc(url: str) -> str:
     """Fetch a document from a URL and return the markdownified text.
+
     Args:
         url (str): The URL of the document to fetch.
+
     Returns:
         str: The markdownified text of the document.
     """
-
     try:
         response = httpx_client.get(url, timeout=10)
         response.raise_for_status()