chore: remove unused imports, break long lines, and formatting cleanup

Author: gustavocidornelas

examples/tracing/openai/openai_agents_tracing.ipynb

@@ -78,11 +78,11 @@
         "import os\n",
         "\n",
         "# Set up OpenAI API key\n",
-        "os.environ[\"OPENAI_API_KEY\"] = \"YOUR_OPENAI_API_KEY_HERE\"  # Replace with your actual OpenAI API key\n",
+        "os.environ[\"OPENAI_API_KEY\"] = \"YOUR_OPENAI_API_KEY_HERE\"\n",
         "\n",
         "# Set up Openlayer environment variables\n",
-        "os.environ[\"OPENLAYER_INFERENCE_PIPELINE_ID\"] = \"YOUR_OPENLAYER_INFERENCE_PIPELINE_ID_HERE\"  # Replace with your actual pipeline ID\n",
-        "os.environ[\"OPENLAYER_API_KEY\"] = \"YOUR_OPENLAYER_API_KEY_HERE\"  # Replace with your actual Openlayer API key\n"
+        "os.environ[\"OPENLAYER_INFERENCE_PIPELINE_ID\"] = \"YOUR_OPENLAYER_INFERENCE_PIPELINE_ID_HERE\"\n",
+        "os.environ[\"OPENLAYER_API_KEY\"] = \"YOUR_OPENLAYER_API_KEY_HERE\"\n"
       ]
     },
     {
@@ -104,10 +104,8 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "import asyncio\n",
         "import random\n",
         "import uuid\n",
-        "import logging\n",
         "from pydantic import BaseModel\n",
         "\n",
         "# OpenAI Agents SDK imports\n",
@@ -211,7 +209,7 @@
       "outputs": [],
       "source": [
         "@function_tool(\n",
-        "    name_override=\"faq_lookup_tool\", \n",
+        "    name_override=\"faq_lookup_tool\",\n",
         "    description_override=\"Lookup frequently asked questions.\"\n",
         ")\n",
         "async def faq_lookup_tool(question: str) -> str:\n",
@@ -235,13 +233,13 @@
         "\n",
         "@function_tool\n",
         "async def update_seat(\n",
-        "    context: RunContextWrapper[AirlineAgentContext], \n",
-        "    confirmation_number: str, \n",
+        "    context: RunContextWrapper[AirlineAgentContext],\n",
+        "    confirmation_number: str,\n",
         "    new_seat: str\n",
         ") -> str:\n",
         "    \"\"\"\n",
         "    Update the seat for a given confirmation number.\n",
-        "    \n",
+        "\n",
         "    Args:\n",
         "        confirmation_number: The confirmation number for the flight.\n",
         "        new_seat: The new seat to update to.\n",
@@ -378,27 +376,27 @@
         "    \"\"\"Run a single conversation turn with the agent system.\"\"\"\n",
         "    if conversation_id is None:\n",
         "        conversation_id = uuid.uuid4().hex[:16]\n",
-        "    \n",
+        "\n",
         "    current_agent = triage_agent\n",
         "    context = AirlineAgentContext()\n",
-        "    \n",
+        "\n",
         "    print(f\"🎯 Starting conversation with ID: {conversation_id}\")\n",
         "    print(f\"💬 Processing user input: '{user_input}'\")\n",
-        "    \n",
+        "\n",
         "    responses = []\n",
-        "    \n",
+        "\n",
         "    # Wrap the agent execution in a trace for Openlayer monitoring\n",
         "    with agent_trace(\"Customer service\", group_id=conversation_id):\n",
         "        print(\"🔍 Inside agent trace context\")\n",
         "        print(f\"🤖 Running agent: {current_agent.name}\")\n",
-        "        \n",
+        "\n",
         "        result = await Runner.run(current_agent, user_input, context=context)\n",
         "        print(f\"✅ Agent execution completed, got {len(result.new_items)} items\")\n",
-        "        \n",
+        "\n",
         "        # Process the results\n",
         "        for new_item in result.new_items:\n",
         "            agent_name = new_item.agent.name\n",
-        "            \n",
+        "\n",
         "            if isinstance(new_item, MessageOutputItem):\n",
         "                message = ItemHelpers.text_message_output(new_item)\n",
         "                responses.append(f\"{agent_name}: {message}\")\n",
@@ -411,9 +409,9 @@
         "                responses.append(f\"{agent_name}: Tool call output: {new_item.output}\")\n",
         "            else:\n",
         "                responses.append(f\"{agent_name}: {new_item.__class__.__name__}\")\n",
-        "        \n",
+        "\n",
         "        print(\"📤 Exiting agent trace context - spans should be queued for export\")\n",
-        "    \n",
+        "\n",
         "    return \"\\n\".join(responses)\n",
         "\n",
         "print(\"✅ Conversation runner created!\")\n"
@@ -494,11 +492,18 @@
         "print(response)\n",
         "print(\"\\n\" + \"=\"*50 + \"\\n\")\n"
       ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": []
     }
   ],
   "metadata": {
     "kernelspec": {
-      "display_name": ".venv",
+      "display_name": "agents",
       "language": "python",
       "name": "python3"
     },
@@ -512,7 +517,7 @@
       "name": "python",
       "nbconvert_exporter": "python",
       "pygments_lexer": "ipython3",
-      "version": "3.10.16"
+      "version": "3.10.14"
     }
   },
   "nbformat": 4,