Addressing formatting issue.

Author: contextablemark

docs/howtos/integrations/ag_ui.ipynb

@@ -72,7 +72,7 @@
     "\n",
     "load_dotenv()\n",
     "# Patch the existing notebook loop so we can await coroutines safely\n",
-    "nest_asyncio.apply()\n"
+    "nest_asyncio.apply()"
    ]
   },
   {
@@ -115,7 +115,7 @@
     "    ]\n",
     ")\n",
     "\n",
-    "scientist_questions\n"
+    "scientist_questions"
    ]
   },
   {
@@ -156,7 +156,7 @@
     "    ]\n",
     ")\n",
     "\n",
-    "weather_queries\n"
+    "weather_queries"
    ]
   },
   {
@@ -187,7 +187,7 @@
     "evaluator_llm = LangchainLLMWrapper(ChatOpenAI(model=\"gpt-4o-mini\"))\n",
     "\n",
     "qa_metrics = [FactualCorrectness(llm=evaluator_llm)]\n",
-    "tool_metrics = [ToolCallF1()]  # rule-based, no LLM required\n"
+    "tool_metrics = [ToolCallF1()]  # rule-based, no LLM required"
    ]
   },
   {
@@ -210,7 +210,7 @@
     "AG_UI_ENDPOINT = \"http://localhost:8000/agentic_chat\"  # Update to match your agent\n",
     "\n",
     "RUN_FACTUAL_EVAL = False\n",
-    "RUN_TOOL_EVAL = False\n"
+    "RUN_TOOL_EVAL = False"
    ]
   },
   {
@@ -328,10 +328,11 @@
     "        metadata=True,\n",
     "    )\n",
     "\n",
+    "\n",
     "if RUN_FACTUAL_EVAL:\n",
     "    factual_result = await evaluate_factual()\n",
     "    factual_df = factual_result.to_pandas()\n",
-    "    display(factual_df)\n"
+    "    display(factual_df)"
    ]
   },
   {
@@ -426,10 +427,11 @@
     "        evaluator_llm=evaluator_llm,\n",
     "    )\n",
     "\n",
+    "\n",
     "if RUN_TOOL_EVAL:\n",
     "    tool_result = await evaluate_tool_usage()\n",
     "    tool_df = tool_result.to_pandas()\n",
-    "    display(tool_df)\n"
+    "    display(tool_df)"
    ]
   },
   {
@@ -480,7 +482,7 @@
     "\n",
     "messages_from_snapshot = convert_messages_snapshot(snapshot)\n",
     "\n",
-    "messages_from_stream, messages_from_snapshot\n"
+    "messages_from_stream, messages_from_snapshot"
    ]
   },
   {