Update agentchat quickstart to show how to handle multi-round user inputs (#4735)

Update agentchat quickstart to show how to handle multi-round user inputs.

Author: ekzhu

python/packages/autogen-core/docs/src/user-guide/agentchat-user-guide/quickstart.ipynb

@@ -12,8 +12,8 @@
             "metadata": {},
             "source": [
                 "Via AgentChat, you can build applications quickly using preset agents.\n",
-                "To illustrate this, we will begin with creating a team of a single agent\n",
-                "that can use tools and respond to messages.\n",
+                "To illustrate this, we will begin with creating a team of a single tool-use\n",
+                "agent that you can chat with.\n",
                 "\n",
                 "The following code uses the OpenAI model. If you haven't already, you need to\n",
                 "install the following package and extension:"
@@ -42,38 +42,48 @@
         },
         {
             "cell_type": "code",
-            "execution_count": null,
+            "execution_count": 2,
             "metadata": {},
             "outputs": [
                 {
                     "name": "stdout",
                     "output_type": "stream",
                     "text": [
                         "---------- user ----------\n",
-                        "What is the weather in New York?\n",
+                        "What is the weather in NYC?\n",
+                        "---------- weather_agent ----------\n",
+                        "[FunctionCall(id='call_vN04UiNJgqSz6g3MHt7Renig', arguments='{\"city\":\"New York City\"}', name='get_weather')]\n",
+                        "[Prompt tokens: 75, Completion tokens: 16]\n",
+                        "---------- weather_agent ----------\n",
+                        "[FunctionExecutionResult(content='The weather in New York City is 73 degrees and Sunny.', call_id='call_vN04UiNJgqSz6g3MHt7Renig')]\n",
                         "---------- weather_agent ----------\n",
-                        "[FunctionCall(id='call_AhTZ2q3TNL8x0qs00e3wIZ7y', arguments='{\"city\":\"New York\"}', name='get_weather')]\n",
-                        "[Prompt tokens: 79, Completion tokens: 15]\n",
+                        "The weather in New York City is 73 degrees and Sunny.\n",
+                        "---------- Summary ----------\n",
+                        "Number of messages: 4\n",
+                        "Finish reason: Maximum number of turns 1 reached.\n",
+                        "Total prompt tokens: 75\n",
+                        "Total completion tokens: 16\n",
+                        "Duration: 1.15 seconds\n",
+                        "---------- user ----------\n",
+                        "What is the weather in Seattle?\n",
                         "---------- weather_agent ----------\n",
-                        "[FunctionExecutionResult(content='The weather in New York is 73 degrees and Sunny.', call_id='call_AhTZ2q3TNL8x0qs00e3wIZ7y')]\n",
+                        "[FunctionCall(id='call_BesYutZXJIMfu2TlDZgodIEj', arguments='{\"city\":\"Seattle\"}', name='get_weather')]\n",
+                        "[Prompt tokens: 127, Completion tokens: 14]\n",
                         "---------- weather_agent ----------\n",
-                        "The weather in New York is currently 73 degrees and sunny.\n",
-                        "[Prompt tokens: 90, Completion tokens: 14]\n",
+                        "[FunctionExecutionResult(content='The weather in Seattle is 73 degrees and Sunny.', call_id='call_BesYutZXJIMfu2TlDZgodIEj')]\n",
                         "---------- weather_agent ----------\n",
-                        "TERMINATE\n",
-                        "[Prompt tokens: 137, Completion tokens: 4]\n",
+                        "The weather in Seattle is 73 degrees and Sunny.\n",
                         "---------- Summary ----------\n",
-                        "Number of messages: 5\n",
-                        "Finish reason: Text 'TERMINATE' mentioned\n",
-                        "Total prompt tokens: 306\n",
-                        "Total completion tokens: 33\n",
-                        "Duration: 1.43 seconds\n"
+                        "Number of messages: 4\n",
+                        "Finish reason: Maximum number of turns 1 reached.\n",
+                        "Total prompt tokens: 127\n",
+                        "Total completion tokens: 14\n",
+                        "Duration: 2.38 seconds\n"
                     ]
                 }
             ],
             "source": [
                 "from autogen_agentchat.agents import AssistantAgent\n",
-                "from autogen_agentchat.conditions import TextMentionTermination\n",
                 "from autogen_agentchat.teams import RoundRobinGroupChat\n",
                 "from autogen_agentchat.ui import Console\n",
                 "from autogen_ext.models.openai import OpenAIChatCompletionClient\n",
@@ -95,15 +105,17 @@
                 "        tools=[get_weather],\n",
                 "    )\n",
                 "\n",
-                "    # Define termination condition\n",
-                "    termination = TextMentionTermination(\"TERMINATE\")\n",
-                "\n",
-                "    # Define a team\n",
-                "    agent_team = RoundRobinGroupChat([weather_agent], termination_condition=termination)\n",
+                "    # Define a team with a single agent and maximum auto-gen turns of 1.\n",
+                "    agent_team = RoundRobinGroupChat([weather_agent], max_turns=1)\n",
                 "\n",
-                "    # Run the team and stream messages to the console\n",
-                "    stream = agent_team.run_stream(task=\"What is the weather in New York?\")\n",
-                "    await Console(stream)\n",
+                "    while True:\n",
+                "        # Get user input from the console.\n",
+                "        user_input = input(\"Enter a message (type 'exit' to leave): \")\n",
+                "        if user_input.strip().lower() == \"exit\":\n",
+                "            break\n",
+                "        # Run the team and stream messages to the console.\n",
+                "        stream = agent_team.run_stream(task=user_input)\n",
+                "        await Console(stream)\n",
                 "\n",
                 "\n",
                 "# NOTE: if running this inside a Python script you'll need to use asyncio.run(main()).\n",