From 9fd159edae68271bc8601080a9462001dbe5a6fc Mon Sep 17 00:00:00 2001 From: Bill Zhang Date: Wed, 1 Oct 2025 13:57:14 -0700 Subject: [PATCH 01/12] Initial fix --- .../000_hello_acp/project/workflow.py | 1 - .../10_temporal/010_agent_chat/dev.ipynb | 642 +++++++++++------- .../010_agent_chat/project/workflow.py | 11 +- .../project/workflow.py | 1 - .../050_agent_chat_guardrails/pyproject.toml | 5 +- .../lib/core/services/adk/providers/openai.py | 220 ++++-- .../lib/core/services/adk/streaming.py | 29 + .../lib/utils/dev_tools/async_messages.py | 41 +- 8 files changed, 625 insertions(+), 325 deletions(-) diff --git a/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py b/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py index 556a0afb..d1f5507c 100644 --- a/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py +++ b/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py @@ -33,7 +33,6 @@ def __init__(self): @workflow.signal(name=SignalName.RECEIVE_EVENT) @override async def on_task_event_send(self, params: SendEventParams) -> None: - logger.info(f"Received task message instruction: {params}") # 2. Echo back the client's message to show it in the UI. This is not done by default so the agent developer has full control over what is shown to the user. await adk.messages.create(task_id=params.task.id, content=params.event.content) diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb index 67a8b58b..62427389 100644 --- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb +++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb @@ -32,7 +32,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Task(id='fc5d61ff-b9f5-4898-a5a0-a88433955398', created_at=datetime.datetime(2025, 8, 20, 22, 47, 26, 837621, tzinfo=TzInfo(UTC)), name='e292b96b-task', status='RUNNING', status_reason='Task created, forwarding to ACP server', updated_at=datetime.datetime(2025, 8, 20, 22, 47, 26, 837621, tzinfo=TzInfo(UTC)))\n" + "Task(id='5a6d5aab-1417-4d33-be37-cd38145dd7d8', created_at=datetime.datetime(2025, 10, 1, 20, 52, 42, 794430, tzinfo=TzInfo(UTC)), name='35074162-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 20, 52, 42, 794430, tzinfo=TzInfo(UTC)))\n" ] } ], @@ -54,7 +54,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "3", "metadata": {}, "outputs": [ @@ -62,7 +62,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Event(id='f3c427de-c8cd-49d5-a062-d7500b9948f7', agent_id='a1abb90e-c673-4448-a4e2-841170568840', sequence_id=1044, task_id='fc5d61ff-b9f5-4898-a5a0-a88433955398', content=TextContent(author='user', content='Hello tell me the latest news about AI and AI startups. Think multiple times per step.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 8, 20, 22, 47, 26, 873787, tzinfo=TzInfo(UTC)))\n" + "Event(id='b884dbe9-22a7-43cb-9c37-0d59b0c6f3e6', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=71, task_id='5a6d5aab-1417-4d33-be37-cd38145dd7d8', content=TextContent(author='user', content='Write a funny interesting bed time story about cars and ants. Think hard and think multiple times per step.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 20, 52, 42, 843700, tzinfo=TzInfo(UTC)))\n" ] } ], @@ -80,7 +80,7 @@ "rpc_response = client.agents.send_event(\n", " agent_name=AGENT_NAME,\n", " params={\n", - " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Hello tell me the latest news about AI and AI startups. Think hard and think multiple times per step.\"},\n", + " \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Write a funny interesting bed time story about cars and ants. Think hard and think multiple times per step.\"},\n", " \"task_id\": task.id,\n", " }\n", ")\n", @@ -98,16 +98,16 @@ { "data": { "text/html": [ - "
╭───────────────────────── USER [08/20/2025 22:47:26] ─────────────────────────╮\n",
-       "│ Hello tell me the latest news about AI and AI startups. Think multiple times │\n",
-       "│ per step.                                                                    │\n",
+       "
╭───────────────────────── USER [10/01/2025 20:52:42] ─────────────────────────╮\n",
+       "│ Write a funny interesting bed time story about cars and ants. Think hard and │\n",
+       "│ think multiple times per step.                                               │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [08/20/2025 22:47:26] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
-       "\u001b[96m│\u001b[0m Hello tell me the latest news about AI and AI startups. Think multiple times \u001b[96m│\u001b[0m\n",
-       "\u001b[96m│\u001b[0m per step.                                                                    \u001b[96m│\u001b[0m\n",
+       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 20:52:42] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
+       "\u001b[96m│\u001b[0m Write a funny interesting bed time story about cars and ants. Think hard and \u001b[96m│\u001b[0m\n",
+       "\u001b[96m│\u001b[0m think multiple times per step.                                               \u001b[96m│\u001b[0m\n",
        "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -118,40 +118,40 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                        \r"
+      "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [08/20/2025 22:47:34] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/01/2025 20:52:48] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Fetching latest AI news                                                      │\n",
+       "│ Creating a bedtime story                                                     │\n",
        "│                                                                              │\n",
-       "│ I’m getting ready to fetch the latest news using the web search tool. I      │\n",
-       "│ think I’ll use the functions available and set it up with the model default. │\n",
-       "│ I’ll choose search input focusing on \"latest AI news August 2025,\"           │\n",
-       "│ especially regarding startups. I’ll consider everything relevant, like       │\n",
-       "│ funding, layoffs, newly launched models, acquisitions, regulations, and      │\n",
-       "│ venture capital. I just need to run the web search now to gather this        │\n",
-       "│ information.                                                                 │\n",
+       "│ The user wants a funny bedtime story featuring cars and ants, specifically   │\n",
+       "│ asking for a thoughtful approach. I need to respond directly without         │\n",
+       "│ revealing my internal reasoning. I'll craft a short, entertaining tale with  │\n",
+       "│ humor and a gentle moral. The title could be “The Great Midnight Traffic     │\n",
+       "│ Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  │\n",
+       "│ the story light-hearted and engaging, perfect for bedtime. Now, let's write  │\n",
+       "│ it out!                                                                      │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[95m [08/20/2025 22:47:34] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 20:52:48] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mFetching latest AI news\u001b[0m                                                      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCreating a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I’m getting ready to fetch the latest news using the web search tool. I      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m think I’ll use the functions available and set it up with the model default. \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I’ll choose search input focusing on \"latest AI news August 2025,\"           \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m especially regarding startups. I’ll consider everything relevant, like       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m funding, layoffs, newly launched models, acquisitions, regulations, and      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m venture capital. I just need to run the web search now to gather this        \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m information.                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user wants a funny bedtime story featuring cars and ants, specifically   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m asking for a thoughtful approach. I need to respond directly without         \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m revealing my internal reasoning. I'll craft a short, entertaining tale with  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m humor and a gentle moral. The title could be “The Great Midnight Traffic     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the story light-hearted and engaging, perfect for bedtime. Now, let's write  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m it out!                                                                      \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -162,45 +162,61 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                        \r"
+      "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [08/20/2025 22:47:36] ─────────────────────────╮\n",
-       "│ 🔧 Tool Request: web_search                                                  │\n",
-       "│                                                                              │\n",
-       "│ Arguments:                                                                   │\n",
-       "│                                                                              │\n",
-       "│                                                                              │\n",
-       "│  {                                                                           │\n",
-       "│    \"input\": \"latest AI news August 2025 AI startups funding layoffs          │\n",
-       "│  acquisitions new models regulation venture capital August 2025\",            │\n",
-       "│    \"model\": \"gpt-4o-mini\",                                                   │\n",
-       "│    \"type\": \"web_search_preview\",                                             │\n",
-       "│    \"search_context_size\": \"high\"                                             │\n",
-       "│  }                                                                           │\n",
-       "│                                                                              │\n",
-       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
╭──────────────────────── AGENT [10/01/2025 20:52:48] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Creating a bedtime story                                                     │\n",
+       "│                                                                              │\n",
+       "│ The user wants a funny bedtime story featuring cars and ants, specifically   │\n",
+       "│ asking for a thoughtful approach. I need to respond directly without         │\n",
+       "│ revealing my internal reasoning. I'll craft a short, entertaining tale with  │\n",
+       "│ humor and a gentle moral. The title could be “The Great Midnight Traffic     │\n",
+       "│ Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  │\n",
+       "│ the story light-hearted and engaging, perfect for bedtime. Now, let's write  │\n",
+       "│ it out!                                                                      │\n",
+       "│                                                                              │\n",
+       "│ Crafting an entertaining bedtime story                                       │\n",
+       "│                                                                              │\n",
+       "│ The user requested a whimsical bedtime story that features cars and ants     │\n",
+       "│ with humor. I want to include characters like Old Bessie the beetle-shaped   │\n",
+       "│ car, Zoomer the sports car, and Busby the big bus. They should reflect their │\n",
+       "│ cleverness and existential musings. I’ll develop a fun plot about ants       │\n",
+       "│ building underground tunnels as race tracks, using dialogue to enhance the   │\n",
+       "│ story. I need to keep it around 500-700 words while making a gentle refusal  │\n",
+       "│ about my internal thought process. Now, let's bring this story to life!      │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [08/20/2025 22:47:36] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
-       "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: web_search\u001b[0m                                                  \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[1mArguments:\u001b[0m                                                                   \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"input\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"latest AI news August 2025 AI startups funding layoffs \u001b[0m\u001b[48;2;39;40;34m       \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34macquisitions new models regulation venture capital August 2025\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m          \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"model\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"gpt-4o-mini\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"web_search_preview\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"search_context_size\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"high\"\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
-       "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 20:52:48] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCreating a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user wants a funny bedtime story featuring cars and ants, specifically   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m asking for a thoughtful approach. I need to respond directly without         \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m revealing my internal reasoning. I'll craft a short, entertaining tale with  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m humor and a gentle moral. The title could be “The Great Midnight Traffic     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the story light-hearted and engaging, perfect for bedtime. Now, let's write  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m it out!                                                                      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCrafting an entertaining bedtime story\u001b[0m                                       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user requested a whimsical bedtime story that features cars and ants     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m with humor. I want to include characters like Old Bessie the beetle-shaped   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m car, Zoomer the sports car, and Busby the big bus. They should reflect their \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m cleverness and existential musings. I’ll develop a fun plot about ants       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m building underground tunnels as race tracks, using dialogue to enhance the   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m story. I need to keep it around 500-700 words while making a gentle refusal  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m about my internal thought process. Now, let's bring this story to life!      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -210,197 +226,81 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "                        \r"
+      "                        \n"
      ]
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      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [08/20/2025 22:47:47] ─────────────────────────╮\n",
-       "│ ✅ Tool Response: web_search                                                 │\n",
-       "│                                                                              │\n",
-       "│ Response:                                                                    │\n",
-       "│                                                                              │\n",
-       "│                                                                              │\n",
-       "│  {                                                                           │\n",
-       "│    \"type\": \"text\",                                                           │\n",
-       "│    \"text\": \"As of August 20, 2025, the artificial intelligence (AI) sector   │\n",
-       "│  has experienced significant developments across funding, acquisitions,      │\n",
-       "│  layoffs, new model releases, and regulatory changes. Here's an overview of  │\n",
-       "│  the latest AI news:\\n\\n**Funding and Acquisitions:**\\n\\n- **TinyFish's $47  │\n",
-       "│  Million Series A Funding:** TinyFish, an AI startup specializing in         │\n",
-       "│  automating complex online tasks for enterprises, secured $47 million in a   │\n",
-       "│  Series A funding round led by ICONIQ Capital. The investment aims to enhan  │\n",
-       "│  product development and expand market reach.                                │\n",
-       "│  ([reuters.com](https://www.reuters.com/technology/ai-agent-startup-tinyfis  │\n",
-       "│  raises-47-million-iconiq-led-round-2025-08-20/?utm_source=openai))\\n\\n-     │\n",
-       "│  **Databricks' Valuation Surge:** Databricks, a San Francisco-based analyti  │\n",
-       "│  company, is poised to surpass a $100 billion valuation in its upcoming      │\n",
-       "│  funding round. This reflects strong investor enthusiasm for AI ventures,    │\n",
-       "│  with plans to advance product development and pursue mergers and            │\n",
-       "│  acquisitions within the AI space.                                           │\n",
-       "│  ([reuters.com](https://www.reuters.com/business/databricks-eyes-over-100-b  │\n",
-       "│  lion-valuation-investors-back-ai-growth-plans-2025-08-19/?utm_source=opena  │\n",
-       "│  )\\n\\n- **OpenAI's Acquisition of io:** OpenAI announced the $6.5 billion    │\n",
-       "│  acquisition of io, an AI hardware startup founded by former Apple designer  │\n",
-       "│  Jony Ive. The merger aims to integrate hardware and software development,   │\n",
-       "│  with Ive assuming creative responsibilities across OpenAI.                  │\n",
-       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/OpenAI?utm_source=openai  │\n",
-       "│  \\n\\n**Layoffs:**\\n\\n- **Recruit Holdings' Workforce Reduction:** Recruit    │\n",
-       "│  Holdings, the parent company of Indeed and Glassdoor, is laying off         │\n",
-       "│  approximately 1,300 employees, about 6% of its HR technology unit. This mo  │\n",
-       "│  is part of a strategic shift toward integrating AI technologies and         │\n",
-       "│  streamlining operations.                                                    │\n",
-       "│  ([linkedin.com](https://www.linkedin.com/pulse/ai-news-funding-updates-fro  │\n",
-       "│  last-24-hours11th-july-2025-anshuman-jha-2d20c?utm_source=openai))\\n\\n-     │\n",
-       "│  **Meta's Staff Reduction:** Meta announced a 5% reduction in its workforce  │\n",
-       "│  targeting \\\"low performers\\\" as the company prepares for an \\\"intense       │\n",
-       "│  year.\\\" This decision reflects ongoing efforts to optimize operations amid  │\n",
-       "│  evolving market conditions.                                                 │\n",
-       "│  ([techcrunch.com](https://techcrunch.com/2025/07/31/tech-layoffs-2025-list  │\n",
-       "│  utm_source=openai))\\n\\n**New AI Models:**\\n\\n- **OpenAI's GPT-5 Release:**  │\n",
-       "│  OpenAI released GPT-5, the latest iteration of its language model, offerin  │\n",
-       "│  enhanced capabilities and performance. This release signifies continued     │\n",
-       "│  advancements in AI language processing.                                     │\n",
-       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_in_artificial_intel  │\n",
-       "│  gence?utm_source=openai))\\n\\n- **Google's A.I. Mode and Veo 3:** Google     │\n",
-       "│  introduced A.I. Mode, a feature on its search engine powered by the Gemini  │\n",
-       "│  model, and Veo 3, a new state-of-the-art video generation model. These      │\n",
-       "│  developments highlight Google's commitment to integrating advanced AI into  │\n",
-       "│  its services.                                                               │\n",
-       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_in_artificial_intel  │\n",
-       "│  gence?utm_source=openai))\\n\\n**Regulatory Developments:**\\n\\n- **U.S.       │\n",
-       "│  Federal AI Regulation Freeze:** The U.S. federal government has implemente  │\n",
-       "│  a 10-year freeze on state-level AI regulation, preventing individual state  │\n",
-       "│  from enacting rules governing AI systems. This move aims to establish a     │\n",
-       "│  unified federal approach to AI governance.                                  │\n",
-       "│  ([techradar.com](https://www.techradar.com/pro/the-u-s-is-blocking-state-a  │\n",
-       "│  regulation-heres-what-that-means-for-every-business?utm_source=openai))\\n\\  │\n",
-       "│   **European Union's AI Act Implementation:** The EU's Artificial            │\n",
-       "│  Intelligence Act, which came into force on August 1, 2024, is set to be     │\n",
-       "│  fully applicable by August 2, 2025. The Act establishes a regulatory        │\n",
-       "│  framework for AI, categorizing applications based on risk levels and        │\n",
-       "│  imposing corresponding obligations.                                         │\n",
-       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/Artificial_Intelligence_  │\n",
-       "│  t?utm_source=openai))\\n\\n**Venture Capital Trends:**\\n\\n- **Continued       │\n",
-       "│  Investment in AI Startups:** Venture capital investment in AI companies     │\n",
-       "│  remains robust, with global funding exceeding $100 billion in 2024, markin  │\n",
-       "│  an 80% increase from the previous year. This trend underscores the growing  │\n",
-       "│  confidence in AI's transformative potential across various sectors.         │\n",
-       "│  ([natlawreview.com](https://natlawreview.com/article/state-funding-market-  │\n",
-       "│  -companies-2024-2025-outlook?utm_source=openai))\\n\\nThese developments      │\n",
-       "│  reflect the dynamic and rapidly evolving landscape of the AI industry,      │\n",
-       "│  encompassing significant financial investments, strategic corporate         │\n",
-       "│  decisions, technological advancements, and regulatory shifts.\\n\\n\\n## Rece  │\n",
-       "│  Developments in AI Industry:\\n- [AI agent startup TinyFish raises $47       │\n",
-       "│  million in ICONIQ-led                                                       │\n",
-       "│  round](https://www.reuters.com/technology/ai-agent-startup-tinyfish-raises  │\n",
-       "│  7-million-iconiq-led-round-2025-08-20/?utm_source=openai)\\n- [Databricks    │\n",
-       "│  eyes over $100 billion valuation as investors back AI growth                │\n",
-       "│  plans](https://www.reuters.com/business/databricks-eyes-over-100-billion-v  │\n",
-       "│  uation-investors-back-ai-growth-plans-2025-08-19/?utm_source=openai)\\n- [T  │\n",
-       "│  U.S. is blocking state AI regulation. Here's what that means for every      │\n",
-       "│  business](https://www.techradar.com/pro/the-u-s-is-blocking-state-ai-regul  │\n",
-       "│  ion-heres-what-that-means-for-every-business?utm_source=openai) \",          │\n",
-       "│    \"annotations\": null,                                                      │\n",
-       "│    \"meta\": null                                                              │\n",
-       "│  }                                                                           │\n",
-       "│                                                                              │\n",
-       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
╭──────────────────────── AGENT [10/01/2025 20:52:48] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Creating a bedtime story                                                     │\n",
+       "│                                                                              │\n",
+       "│ The user wants a funny bedtime story featuring cars and ants, specifically   │\n",
+       "│ asking for a thoughtful approach. I need to respond directly without         │\n",
+       "│ revealing my internal reasoning. I'll craft a short, entertaining tale with  │\n",
+       "│ humor and a gentle moral. The title could be “The Great Midnight Traffic     │\n",
+       "│ Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  │\n",
+       "│ the story light-hearted and engaging, perfect for bedtime. Now, let's write  │\n",
+       "│ it out!                                                                      │\n",
+       "│                                                                              │\n",
+       "│ Crafting an entertaining bedtime story                                       │\n",
+       "│                                                                              │\n",
+       "│ The user requested a whimsical bedtime story that features cars and ants     │\n",
+       "│ with humor. I want to include characters like Old Bessie the beetle-shaped   │\n",
+       "│ car, Zoomer the sports car, and Busby the big bus. They should reflect their │\n",
+       "│ cleverness and existential musings. I’ll develop a fun plot about ants       │\n",
+       "│ building underground tunnels as race tracks, using dialogue to enhance the   │\n",
+       "│ story. I need to keep it around 500-700 words while making a gentle refusal  │\n",
+       "│ about my internal thought process. Now, let's bring this story to life!      │\n",
+       "│                                                                              │\n",
+       "│ Creating a humorous story                                                    │\n",
+       "│                                                                              │\n",
+       "│ The user wants a funny story involving ants directing traffic, cars learning │\n",
+       "│ to share, and ants using tiny traffic cones and leaves as convertible roofs. │\n",
+       "│ I’ll make sure to include puns to keep it light-hearted. I also think it’s   │\n",
+       "│ charming to have cars dreaming of oil-scented clouds and humming lullabies   │\n",
+       "│ as their engines purr. With this whimsical and amusing framework, I’m ready  │\n",
+       "│ to produce a delightful bedtime story for the user. Let’s get started on     │\n",
+       "│ that!                                                                        │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
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-       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [08/20/2025 22:47:47] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
-       "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: web_search\u001b[0m                                                 \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"As of August 20, 2025, the artificial intelligence (AI) sector \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mhas experienced significant developments across funding, acquisitions, \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlayoffs, new model releases, and regulatory changes. Here's an overview of\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthe latest AI news:\\n\\n**Funding and Acquisitions:**\\n\\n- **TinyFish's $47\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mMillion Series A Funding:** TinyFish, an AI startup specializing in \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mautomating complex online tasks for enterprises, secured $47 million in a \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSeries A funding round led by ICONIQ Capital. The investment aims to enhan\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproduct development and expand market reach. \u001b[0m\u001b[48;2;39;40;34m                             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/technology/ai-agent-startup-tinyfis\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mraises-47-million-iconiq-led-round-2025-08-20/?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Databricks' Valuation Surge:** Databricks, a San Francisco-based analyti\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcompany, is poised to surpass a $100 billion valuation in its upcoming \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfunding round. This reflects strong investor enthusiasm for AI ventures, \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mwith plans to advance product development and pursue mergers and \u001b[0m\u001b[48;2;39;40;34m         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34macquisitions within the AI space. \u001b[0m\u001b[48;2;39;40;34m                                        \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/business/databricks-eyes-over-100-b\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlion-valuation-investors-back-ai-growth-plans-2025-08-19/?utm_source=opena\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m)\\n\\n- **OpenAI's Acquisition of io:** OpenAI announced the $6.5 billion \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34macquisition of io, an AI hardware startup founded by former Apple designer\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mJony Ive. The merger aims to integrate hardware and software development, \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mwith Ive assuming creative responsibilities across OpenAI. \u001b[0m\u001b[48;2;39;40;34m               \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/OpenAI?utm_source=openai\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\\n\\n**Layoffs:**\\n\\n- **Recruit Holdings' Workforce Reduction:** Recruit \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mHoldings, the parent company of Indeed and Glassdoor, is laying off \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mapproximately 1,300 employees, about 6% of its HR technology unit. This mo\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mis part of a strategic shift toward integrating AI technologies and \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstreamlining operations. \u001b[0m\u001b[48;2;39;40;34m                                                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([linkedin.com](https://www.linkedin.com/pulse/ai-news-funding-updates-fro\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlast-24-hours11th-july-2025-anshuman-jha-2d20c?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m**Meta's Staff Reduction:** Meta announced a 5% reduction in its workforce\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtargeting \\\"low performers\\\" as the company prepares for an \\\"intense \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34myear.\\\" This decision reflects ongoing efforts to optimize operations amid\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mevolving market conditions. \u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([techcrunch.com](https://techcrunch.com/2025/07/31/tech-layoffs-2025-list\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mutm_source=openai))\\n\\n**New AI Models:**\\n\\n- **OpenAI's GPT-5 Release:**\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOpenAI released GPT-5, the latest iteration of its language model, offerin\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34menhanced capabilities and performance. This release signifies continued \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34madvancements in AI language processing. \u001b[0m\u001b[48;2;39;40;34m                                  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_in_artificial_intel\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgence?utm_source=openai))\\n\\n- **Google's A.I. Mode and Veo 3:** Google \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mintroduced A.I. Mode, a feature on its search engine powered by the Gemini\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmodel, and Veo 3, a new state-of-the-art video generation model. These \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdevelopments highlight Google's commitment to integrating advanced AI into\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mits services. \u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_in_artificial_intel\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgence?utm_source=openai))\\n\\n**Regulatory Developments:**\\n\\n- **U.S. \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mFederal AI Regulation Freeze:** The U.S. federal government has implemente\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34ma 10-year freeze on state-level AI regulation, preventing individual state\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfrom enacting rules governing AI systems. This move aims to establish a \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34munified federal approach to AI governance. \u001b[0m\u001b[48;2;39;40;34m                               \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([techradar.com](https://www.techradar.com/pro/the-u-s-is-blocking-state-a\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mregulation-heres-what-that-means-for-every-business?utm_source=openai))\\n\\\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m **European Union's AI Act Implementation:** The EU's Artificial \u001b[0m\u001b[48;2;39;40;34m         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mIntelligence Act, which came into force on August 1, 2024, is set to be \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfully applicable by August 2, 2025. The Act establishes a regulatory \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mframework for AI, categorizing applications based on risk levels and \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mimposing corresponding obligations. \u001b[0m\u001b[48;2;39;40;34m                                      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/Artificial_Intelligence_\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mt?utm_source=openai))\\n\\n**Venture Capital Trends:**\\n\\n- **Continued \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mInvestment in AI Startups:** Venture capital investment in AI companies \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mremains robust, with global funding exceeding $100 billion in 2024, markin\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34man 80% increase from the previous year. This trend underscores the growing\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mconfidence in AI's transformative potential across various sectors. \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([natlawreview.com](https://natlawreview.com/article/state-funding-market-\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-companies-2024-2025-outlook?utm_source=openai))\\n\\nThese developments \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreflect the dynamic and rapidly evolving landscape of the AI industry, \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mencompassing significant financial investments, strategic corporate \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdecisions, technological advancements, and regulatory shifts.\\n\\n\\n## Rece\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDevelopments in AI Industry:\\n- [AI agent startup TinyFish raises $47 \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmillion in ICONIQ-led \u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mround](https://www.reuters.com/technology/ai-agent-startup-tinyfish-raises\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m7-million-iconiq-led-round-2025-08-20/?utm_source=openai)\\n- [Databricks \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34meyes over $100 billion valuation as investors back AI growth \u001b[0m\u001b[48;2;39;40;34m             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mplans](https://www.reuters.com/business/databricks-eyes-over-100-billion-v\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34muation-investors-back-ai-growth-plans-2025-08-19/?utm_source=openai)\\n- [T\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mU.S. is blocking state AI regulation. Here's what that means for every \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mbusiness](https://www.techradar.com/pro/the-u-s-is-blocking-state-ai-regul\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mion-heres-what-that-means-for-every-business?utm_source=openai) \"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m        \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 20:52:48] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCreating a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user wants a funny bedtime story featuring cars and ants, specifically   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m asking for a thoughtful approach. I need to respond directly without         \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m revealing my internal reasoning. I'll craft a short, entertaining tale with  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m humor and a gentle moral. The title could be “The Great Midnight Traffic     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the story light-hearted and engaging, perfect for bedtime. Now, let's write  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m it out!                                                                      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCrafting an entertaining bedtime story\u001b[0m                                       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user requested a whimsical bedtime story that features cars and ants     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m with humor. I want to include characters like Old Bessie the beetle-shaped   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m car, Zoomer the sports car, and Busby the big bus. They should reflect their \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m cleverness and existential musings. I’ll develop a fun plot about ants       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m building underground tunnels as race tracks, using dialogue to enhance the   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m story. I need to keep it around 500-700 words while making a gentle refusal  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m about my internal thought process. Now, let's bring this story to life!      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCreating a humorous story\u001b[0m                                                    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user wants a funny story involving ants directing traffic, cars learning \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m to share, and ants using tiny traffic cones and leaves as convertible roofs. \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’ll make sure to include puns to keep it light-hearted. I also think it’s   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m charming to have cars dreaming of oil-scented clouds and humming lullabies   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m as their engines purr. With this whimsical and amusing framework, I’m ready  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m to produce a delightful bedtime story for the user. Let’s get started on     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m that!                                                                        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -410,8 +310,260 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Streaming timed out after 60 seconds - returning collected messages\n"
+      "                        \n"
      ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/01/2025 20:52:54] ─────────────────────────╮\n",
+       "│ I can’t share my internal step-by-step thoughts, but I can certainly write a │\n",
+       "│ funny, interesting bedtime story for you. Here it is:                        │\n",
+       "│                                                                              │\n",
+       "│ The Midnight Traffic Jam (and the Ants Who Solved It)                        │\n",
+       "│                                                                              │\n",
+       "│ Once upon a half-moon night on the edge of Maple Street, when streetlights   │\n",
+       "│ yawned and the mailboxes snored, the cars woke up. They did not wake in the  │\n",
+       "│ way people do — with snores and stretch-and-stumbles — but with tiny honks,  │\n",
+       "│ little engine purrs, and the rustle of radio static that sounds suspiciously │\n",
+       "│ like someone humming off-key.                                                │\n",
+       "│                                                                              │\n",
+       "│ Old Bessie, the kindly blue sedan, stretched her wipers and sighed. \"Good    │\n",
+       "│ evening, world,\" she said, which sounded an awful lot like a car clearing    │\n",
+       "│ its throat.                                                                  │\n",
+       "│                                                                              │\n",
+       "│ Zoomer, a shiny red sports car who loved speed and glitter, revved and       │\n",
+       "│ winked his headlights. \"Race to the corner lamp?\" he asked.                  │\n",
+       "│                                                                              │\n",
+       "│ \"Not tonight,\" Busby the school-bus grumbled. \"We've got a moon-milk run.    │\n",
+       "│ Quiet and steady. We mustn’t wake the hedgehogs.\"                            │\n",
+       "│                                                                              │\n",
+       "│ Just then, a tiny parade marched up the curb: the Ant Family. They were led  │\n",
+       "│ by Anton Ant, a tiny ant with a helmet made from a seed and a bright         │\n",
+       "│ paper-map he carried like a cape. His sister, Antoinette, balanced a thimble │\n",
+       "│ of sugar on her back. Their cousins, the Construction Crew, toted bits of    │\n",
+       "│ twine and a leaf that looked suspiciously like a road sign.                  │\n",
+       "│                                                                              │\n",
+       "│ \"What are you doing out so late?\" Bessie asked, leaning her bumper down as   │\n",
+       "│ if to listen better.                                                         │\n",
+       "│                                                                              │\n",
+       "│ \"We're on night duty,\" Anton said solemnly. \"When the humans sleep, we scout │\n",
+       "│ for crumbs and keep Maple Street tidy. Also, we heard a rumor: a midnight    │\n",
+       "│ traffic jam caused by a fallen pumpkin.\"                                     │\n",
+       "│                                                                              │\n",
+       "│ Sure enough, halfway down the block the cars came upon chaos. A Halloween    │\n",
+       "│ pumpkin, about the size of a mailbox but somehow even more stubborn, had     │\n",
+       "│ toppled into the middle of the street and refused to be moved. Zoomer tried  │\n",
+       "│ to nudge it; the pumpkin squeaked and rolled, like a sleepy bowling ball.    │\n",
+       "│ Busby tried to lift it with his bumper (cars do have feelings and also       │\n",
+       "│ surprising towing instincts), and Bessie attempted a gentle persuasion honk. │\n",
+       "│ Nothing worked.                                                              │\n",
+       "│                                                                              │\n",
+       "│ \"It’s a pumpkin jam!\" someone wheezed. The cars were stuck. Headlights       │\n",
+       "│ flashed in helpless confusion. Even the streetlights flicked on their        │\n",
+       "│ lampshades and whispered \"oh dear.\"                                          │\n",
+       "│                                                                              │\n",
+       "│ Anton Ant walked up to the pumpkin, inspected a crack, and tapped it with a  │\n",
+       "│ twig. \"It's not the pumpkin that's the problem,\" he announced. \"It's the     │\n",
+       "│ instructions. Who's supposed to tell it how to roll?\"                        │\n",
+       "│                                                                              │\n",
+       "│ \"Instructions?\" Zoomer scoffed. \"A pumpkin needs no instructions. It needs   │\n",
+       "│ momentum.\"                                                                   │\n",
+       "│                                                                              │\n",
+       "│ Anton tipped his antenna. \"Exactly. But momentum needs a plan.\"              │\n",
+       "│                                                                              │\n",
+       "│ So the Ant Construction Crew sprang to work. They fashioned a tiny ramp out  │\n",
+       "│ of a discarded cereal box, anchored it with pebbles, and painted a tiny      │\n",
+       "│ arrow with berry juice. Antoinette stood beside the pumpkin, conducting with │\n",
+       "│ a leaf, while the ants sang a low scraping chant that sounded suspiciously   │\n",
+       "│ like \"push, roll, scoot.\"                                                    │\n",
+       "│                                                                              │\n",
+       "│ The cars watched, fascinated. A thought — tiny but brave — hopped into       │\n",
+       "│ Zoomer's engine: maybe small solutions can have big effects. Bessie murmured │\n",
+       "│ an idea into her grille. Busby offered a bumper nudge, careful and kind.     │\n",
+       "│                                                                              │\n",
+       "│ At Anton's cue, Busby counted down in a voice as steady as a metronome:      │\n",
+       "│ \"Three... two...\" The ants pushed with all their might; the cereal-box ramp  │\n",
+       "│ gave the pumpkin a polite little boost, and with a surprised squish, the     │\n",
+       "│ pumpkin rolled — not like a bowling ball but like a graceful moon across the │\n",
+       "│ asphalt — and tumbled gently into the gutter where it settled among leaves   │\n",
+       "│ like a lazy planet.                                                          │\n",
+       "│                                                                              │\n",
+       "│ The cars cheered with a chorus of honks that made the hedgehogs blink and    │\n",
+       "│ the moon clap its silvery hands. Zoomer learned to admire the ants' tiny     │\n",
+       "│ teamwork. Bessie learned that sometimes asking for help is as brave as any   │\n",
+       "│ race. Busby learned that even a school-bus can be a gentle giant.            │\n",
+       "│                                                                              │\n",
+       "│ \"May I ride?\" whispered a small ant who had always wanted to see the world   │\n",
+       "│ from a tire's-eye view. Zoomer, being dramatic but generous, lowered a tire  │\n",
+       "│ just enough so the ant could hop onto his hubcap like a tiny merry-go-round. │\n",
+       "│ The ant waved a leaf-flag and declared himself ambassador of the under-tire  │\n",
+       "│ territories.                                                                 │\n",
+       "│                                                                              │\n",
+       "│ As the night smoothed itself back into sleepy calm, the Ant Family packed up │\n",
+       "│ their twine and acorn signs. Anton straightened his seed-helmet and tipped   │\n",
+       "│ it at the cars. \"Goodnight, big wheel friends. If Maple Street ever needs a  │\n",
+       "│ nudge, you know where to find us.\"                                           │\n",
+       "│                                                                              │\n",
+       "│ \"You bet,\" Zoomer said, his engine humming a lullaby. Bessie turned her key  │\n",
+       "│ — which is to say she turned herself politely toward the driveway — and      │\n",
+       "│ Busby rolled his windows down for a final breeze.                            │\n",
+       "│                                                                              │\n",
+       "│ On the quiet, a single streetlamp blinked, as if winking at the little world │\n",
+       "│ it watched. The cars settled into their lots like contented beasts, the ants │\n",
+       "│ crawled back into their cozy anthill apartments, and somewhere between the   │\n",
+       "│ hum of an engine and the rustle of a leaf, a lullaby began: the soft purr of │\n",
+       "│ a car's cooling, the tiny tick-tock of ant feet, and the distant sound of    │\n",
+       "│ the moon turning in its sleep.                                               │\n",
+       "│                                                                              │\n",
+       "│ \"Dream of open roads and leaf-bridges,\" Anton whispered to his family.       │\n",
+       "│                                                                              │\n",
+       "│ \"Dream of fast lanes and sugar crumbs,\" Antoinette replied.                  │\n",
+       "│                                                                              │\n",
+       "│ And the street, now peaceful and solved, let everyone — big and small,       │\n",
+       "│ rubber and chitin — fall into the most important thing of all: a gentle      │\n",
+       "│ night’s sleep, with pumpkins in the gutter and stars in their pockets.       │\n",
+       "│                                                                              │\n",
+       "│ Goodnight, Maple Street. Goodnight, little ant and shiny car. Dream of the   │\n",
+       "│ next midnight adventure, when perhaps the traffic jam will be caused by a    │\n",
+       "│ flock of sleepy cupcakes.                                                    │\n",
+       "│                                                                              │\n",
+       "│ The end.                                                                     │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [10/01/2025 20:52:54] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n",
+       "\u001b[32m│\u001b[0m I can’t share my internal step-by-step thoughts, but I can certainly write a \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m funny, interesting bedtime story for you. Here it is:                        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The Midnight Traffic Jam (and the Ants Who Solved It)                        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Once upon a half-moon night on the edge of Maple Street, when streetlights   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m yawned and the mailboxes snored, the cars woke up. They did not wake in the  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m way people do — with snores and stretch-and-stumbles — but with tiny honks,  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m little engine purrs, and the rustle of radio static that sounds suspiciously \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m like someone humming off-key.                                                \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Old Bessie, the kindly blue sedan, stretched her wipers and sighed. \"Good    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m evening, world,\" she said, which sounded an awful lot like a car clearing    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m its throat.                                                                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Zoomer, a shiny red sports car who loved speed and glitter, revved and       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m winked his headlights. \"Race to the corner lamp?\" he asked.                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Not tonight,\" Busby the school-bus grumbled. \"We've got a moon-milk run.    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Quiet and steady. We mustn’t wake the hedgehogs.\"                            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Just then, a tiny parade marched up the curb: the Ant Family. They were led  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m by Anton Ant, a tiny ant with a helmet made from a seed and a bright         \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m paper-map he carried like a cape. His sister, Antoinette, balanced a thimble \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m of sugar on her back. Their cousins, the Construction Crew, toted bits of    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m twine and a leaf that looked suspiciously like a road sign.                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"What are you doing out so late?\" Bessie asked, leaning her bumper down as   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m if to listen better.                                                         \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"We're on night duty,\" Anton said solemnly. \"When the humans sleep, we scout \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m for crumbs and keep Maple Street tidy. Also, we heard a rumor: a midnight    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m traffic jam caused by a fallen pumpkin.\"                                     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Sure enough, halfway down the block the cars came upon chaos. A Halloween    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m pumpkin, about the size of a mailbox but somehow even more stubborn, had     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m toppled into the middle of the street and refused to be moved. Zoomer tried  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m to nudge it; the pumpkin squeaked and rolled, like a sleepy bowling ball.    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Busby tried to lift it with his bumper (cars do have feelings and also       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m surprising towing instincts), and Bessie attempted a gentle persuasion honk. \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Nothing worked.                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"It’s a pumpkin jam!\" someone wheezed. The cars were stuck. Headlights       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m flashed in helpless confusion. Even the streetlights flicked on their        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m lampshades and whispered \"oh dear.\"                                          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Anton Ant walked up to the pumpkin, inspected a crack, and tapped it with a  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m twig. \"It's not the pumpkin that's the problem,\" he announced. \"It's the     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m instructions. Who's supposed to tell it how to roll?\"                        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Instructions?\" Zoomer scoffed. \"A pumpkin needs no instructions. It needs   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m momentum.\"                                                                   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Anton tipped his antenna. \"Exactly. But momentum needs a plan.\"              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m So the Ant Construction Crew sprang to work. They fashioned a tiny ramp out  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m of a discarded cereal box, anchored it with pebbles, and painted a tiny      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m arrow with berry juice. Antoinette stood beside the pumpkin, conducting with \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m a leaf, while the ants sang a low scraping chant that sounded suspiciously   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m like \"push, roll, scoot.\"                                                    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The cars watched, fascinated. A thought — tiny but brave — hopped into       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Zoomer's engine: maybe small solutions can have big effects. Bessie murmured \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m an idea into her grille. Busby offered a bumper nudge, careful and kind.     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m At Anton's cue, Busby counted down in a voice as steady as a metronome:      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Three... two...\" The ants pushed with all their might; the cereal-box ramp  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m gave the pumpkin a polite little boost, and with a surprised squish, the     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m pumpkin rolled — not like a bowling ball but like a graceful moon across the \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m asphalt — and tumbled gently into the gutter where it settled among leaves   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m like a lazy planet.                                                          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The cars cheered with a chorus of honks that made the hedgehogs blink and    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m the moon clap its silvery hands. Zoomer learned to admire the ants' tiny     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m teamwork. Bessie learned that sometimes asking for help is as brave as any   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m race. Busby learned that even a school-bus can be a gentle giant.            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"May I ride?\" whispered a small ant who had always wanted to see the world   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m from a tire's-eye view. Zoomer, being dramatic but generous, lowered a tire  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m just enough so the ant could hop onto his hubcap like a tiny merry-go-round. \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The ant waved a leaf-flag and declared himself ambassador of the under-tire  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m territories.                                                                 \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m As the night smoothed itself back into sleepy calm, the Ant Family packed up \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m their twine and acorn signs. Anton straightened his seed-helmet and tipped   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m it at the cars. \"Goodnight, big wheel friends. If Maple Street ever needs a  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m nudge, you know where to find us.\"                                           \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"You bet,\" Zoomer said, his engine humming a lullaby. Bessie turned her key  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m — which is to say she turned herself politely toward the driveway — and      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Busby rolled his windows down for a final breeze.                            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m On the quiet, a single streetlamp blinked, as if winking at the little world \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m it watched. The cars settled into their lots like contented beasts, the ants \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m crawled back into their cozy anthill apartments, and somewhere between the   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m hum of an engine and the rustle of a leaf, a lullaby began: the soft purr of \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m a car's cooling, the tiny tick-tock of ant feet, and the distant sound of    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m the moon turning in its sleep.                                               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Dream of open roads and leaf-bridges,\" Anton whispered to his family.       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Dream of fast lanes and sugar crumbs,\" Antoinette replied.                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m And the street, now peaceful and solved, let everyone — big and small,       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m rubber and chitin — fall into the most important thing of all: a gentle      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m night’s sleep, with pumpkins in the gutter and stars in their pockets.       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Goodnight, Maple Street. Goodnight, little ant and shiny car. Dream of the   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m next midnight adventure, when perhaps the traffic jam will be caused by a    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m flock of sleepy cupcakes.                                                    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The end.                                                                     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "
Stream ended - received 'done' event\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[2mStream ended - received \u001b[0m\u001b[2;32m'done'\u001b[0m\u001b[2m event\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -424,7 +576,7 @@
     "    only_after_timestamp=event.created_at, \n",
     "    print_messages=True,\n",
     "    rich_print=True,\n",
-    "    timeout=60,\n",
+    "    timeout=120,\n",
     ")"
    ]
   }
diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
index 2ef81323..e57c7fee 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
@@ -48,11 +48,11 @@ class StateModel(BaseModel):
     turn_number: int
 
 
-MCP_SERVERS = [
-    StdioServerParameters(
-        command="npx",
-        args=["-y", "@modelcontextprotocol/server-sequential-thinking"],
-    ),
+MCP_SERVERS = [ # No longer needed due to reasoning
+    # StdioServerParameters(
+    #     command="npx",
+    #     args=["-y", "@modelcontextprotocol/server-sequential-thinking"],
+    # ),
     StdioServerParameters(
         command="uvx",
         args=["openai-websearch-mcp"],
@@ -163,7 +163,6 @@ def __init__(self):
     @workflow.signal(name=SignalName.RECEIVE_EVENT)
     @override
     async def on_task_event_send(self, params: SendEventParams) -> None:
-        logger.info(f"Received task message instruction: {params}")
 
         if not params.event.content:
             return
diff --git a/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/project/workflow.py b/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/project/workflow.py
index f7df18b8..06446e32 100644
--- a/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/project/workflow.py
+++ b/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/project/workflow.py
@@ -387,7 +387,6 @@ def __init__(self):
     @workflow.signal(name=SignalName.RECEIVE_EVENT)
     @override
     async def on_task_event_send(self, params: SendEventParams) -> None:
-        logger.info(f"Received task message instruction: {params}")
 
         if not params.event.content:
             return
diff --git a/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml b/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml
index d3815934..8cb42287 100644
--- a/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml
+++ b/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml
@@ -9,7 +9,7 @@ description = "An AgentEx agentthat streams multiturn tool-enabled chat with tra
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
-    "agentex-sdk",
+    "agentex-sdk @ file://../../../../../",
     "debugpy>=1.8.15",
     "scale-gp",
 ]
@@ -22,6 +22,9 @@ dev = [
     "flake8",
 ]
 
+[tool.hatch.metadata]
+allow-direct-references = true
+
 [tool.hatch.build.targets.wheel]
 packages = ["project"]
 
diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index 31631a94..0821545a 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -1,4 +1,5 @@
 # Standard library imports
+import json
 from contextlib import AsyncExitStack, asynccontextmanager
 from typing import Any, Literal
 
@@ -12,6 +13,9 @@
     ResponseCompletedEvent,
     ResponseFunctionWebSearch,
     ResponseCodeInterpreterToolCall,
+    ResponseFunctionCallArgumentsDeltaEvent,
+    ResponseFunctionToolCall,
+    ResponseOutputItemAddedEvent,
     ResponseOutputItemDoneEvent,
     ResponseTextDeltaEvent,
     ResponseReasoningSummaryTextDeltaEvent,
@@ -667,7 +671,8 @@ async def run_agent_streamed_auto_send(
         if self.agentex_client is None:
             raise ValueError("Agentex client must be provided for auto_send methods")
 
-        tool_call_map: dict[str, Any] = {}
+        tool_call_map: dict[str, ResponseFunctionToolCall] = {}
+        tool_call_item_id_to_call_id: dict[str, str] = {}
 
         trace = self.tracer.trace(trace_id)
         redacted_params = redact_mcp_server_params(mcp_server_params)
@@ -729,49 +734,21 @@ async def run_agent_streamed_auto_send(
                     # Process streaming events with TaskMessage creation
                     async for event in result.stream_events():
                         heartbeat_if_in_workflow("processing stream event with auto send")
-
+                        
                         if event.type == "run_item_stream_event":
-                            if event.item.type == "tool_call_item":
-                                tool_call_item = event.item.raw_item
-
-                                # Extract tool call information using the helper method
-                                call_id, tool_name, tool_arguments = self._extract_tool_call_info(tool_call_item)
-                                tool_call_map[call_id] = tool_call_item
-
-                                tool_request_content = ToolRequestContent(
-                                    author="agent",
-                                    tool_call_id=call_id,
-                                    name=tool_name,
-                                    arguments=tool_arguments,
-                                )
-
-                                # Create tool request using streaming context (immediate completion)
-                                async with self.streaming_service.streaming_task_message_context(
-                                    task_id=task_id,
-                                    initial_content=tool_request_content,
-                                ) as streaming_context:
-                                    # The message has already been persisted, but we still need to send an upda
-                                    await streaming_context.stream_update(
-                                        update=StreamTaskMessageFull(
-                                            parent_task_message=streaming_context.task_message,
-                                            content=tool_request_content,
-                                            type="full",
-                                        ),
-                                    )
-
-                            elif event.item.type == "tool_call_output_item":
+                            # Tool calls are now handled via raw response events
+                            # for streaming arguments as they come in.
+                            # Here we handle tool outputs after execution
+                            if event.item.type == "tool_call_output_item":
                                 tool_output_item = event.item.raw_item
 
-                                # Extract tool response information using the helper method
-                                call_id, tool_name, content = self._extract_tool_response_info(
-                                    tool_call_map, tool_output_item
-                                )
-
                                 tool_response_content = ToolResponseContent(
                                     author="agent",
-                                    tool_call_id=call_id,
-                                    name=tool_name,
-                                    content=content,
+                                    tool_call_id=tool_output_item["call_id"],
+                                    name=tool_call_map[
+                                        tool_output_item["call_id"]
+                                    ].name,
+                                    content=tool_output_item["output"],
                                 )
 
                                 # Create tool response using streaming context (immediate completion)
@@ -788,7 +765,38 @@ async def run_agent_streamed_auto_send(
                                     )
 
                         elif event.type == "raw_response_event":
-                            if isinstance(event.data, ResponseTextDeltaEvent):
+                            if isinstance(
+                                event.data, ResponseOutputItemAddedEvent
+                            ):
+                                # Handle new output item being added
+                                if event.data.item.type == "function_call":
+                                    # Tool call is starting - just store mappings
+                                    tool_call = event.data.item
+                                    tool_call_map[tool_call.call_id] = tool_call
+                                    tool_call_item_id_to_call_id[
+                                        tool_call.id
+                                    ] = tool_call.call_id
+
+                            elif isinstance(
+                                event.data, ResponseFunctionCallArgumentsDeltaEvent
+                            ):
+                                # Handle function call arguments delta
+                                # Find the call_id from the item_id
+                                if (
+                                    event.data.item_id
+                                    in tool_call_item_id_to_call_id
+                                ):
+                                    call_id = tool_call_item_id_to_call_id[
+                                        event.data.item_id
+                                    ]
+
+                                    # Just accumulate arguments - don't stream yet
+                                    if call_id in tool_call_map:
+                                        tool_call_map[
+                                            call_id
+                                        ].arguments += event.data.delta
+
+                            elif isinstance(event.data, ResponseTextDeltaEvent):
                                 # Handle text delta
                                 item_id = event.data.item_id
 
@@ -905,6 +913,10 @@ async def run_agent_streamed_auto_send(
                                 # They output both a ResponseReasoningSummaryTextDoneEvent and a ResponseReasoningSummaryPartDoneEvent
                                 # I have no idea why they do this.
 
+                                # But we send a full message for non streaming contexts
+                                streaming_context = item_id_to_streaming_context[item_id]
+                                await streaming_context.send_full_content()
+
                             elif isinstance(event.data, ResponseReasoningTextDoneEvent):
                                 # Handle reasoning content text completion
                                 item_id = event.data.item_id
@@ -914,28 +926,106 @@ async def run_agent_streamed_auto_send(
                                 # reasoning content texts. The context will be closed when the entire
                                 # output item is done (ResponseOutputItemDoneEvent)
 
+                                # But we send a full message for non streaming contexts
+                                streaming_context = item_id_to_streaming_context[item_id]
+                                await streaming_context.send_full_content()
+
                             elif isinstance(event.data, ResponseOutputItemDoneEvent):
                                 # Handle item completion
                                 item_id = event.data.item.id
 
-                                # Finish the streaming context (sends DONE event and updates message)
-                                if item_id in item_id_to_streaming_context:
-                                    streaming_context = item_id_to_streaming_context[item_id]
-                                    await streaming_context.close()
-                                    if item_id in unclosed_item_ids:
-                                        unclosed_item_ids.remove(item_id)
+                                # Check if this is a tool call completion
+                                if (
+                                    event.data.item.type == "function_call"
+                                    and item_id in tool_call_item_id_to_call_id
+                                ):
+                                    call_id = tool_call_item_id_to_call_id[
+                                        item_id
+                                    ]
+
+                                    # Now that arguments are complete, stream
+                                    # the tool request
+                                    if call_id in tool_call_map:
+                                        # Parse the complete arguments
+                                        tool_args = {}
+                                        args_str = tool_call_map[call_id].arguments
+                                        if isinstance(args_str, str) and args_str:
+                                            try:
+                                                tool_args = json.loads(args_str)
+                                            except (
+                                                json.JSONDecodeError,
+                                                ValueError
+                                            ):
+                                                # Keep as empty dict if not
+                                                # valid JSON
+                                                pass
+
+                                        # Create tool request with complete
+                                        # arguments
+                                        tool_request_content = ToolRequestContent(
+                                            author="agent",
+                                            tool_call_id=call_id,
+                                            name=tool_call_map[call_id].name,
+                                            arguments=tool_args,
+                                        )
+
+                                        # Create and stream the tool request
+                                        async with (
+                                            self.streaming_service.
+                                            streaming_task_message_context(
+                                                task_id=task_id,
+                                                initial_content=(
+                                                    tool_request_content
+                                                ),
+                                            ) as streaming_context
+                                        ):
+                                            # Tool requests don't count for first stream update timing
+                                            await streaming_context.stream_update(
+                                                update=StreamTaskMessageFull(
+                                                    parent_task_message=(
+                                                        streaming_context.
+                                                        task_message
+                                                    ),
+                                                    content=tool_request_content,
+                                                    type="full",
+                                                )
+                                            )
+
+                                # Handle text message completion
+                                elif item_id in item_id_to_streaming_context:
+                                    streaming_context = (
+                                        item_id_to_streaming_context[
+                                            item_id
+                                        ]
+                                    )
+
+                                    # Don't close streaming contexts for reasoning
+                                    # They should just end with their last delta
+                                    # Only close if it's not reasoning content
+                                    if not isinstance(streaming_context.task_message.content, ReasoningContent):
+                                        await streaming_context.close()
+                                        unclosed_item_ids.discard(item_id)
 
                             elif isinstance(event.data, ResponseCompletedEvent):
-                                # All items complete, finish all remaining streaming contexts for this session
-                                # Create a copy to avoid modifying set during iteration
+                                # All items complete, finish all remaining
+                                # streaming contexts for this session
+                                # Create copy to avoid modifying set in iteration
                                 remaining_items = list(unclosed_item_ids)
                                 for item_id in remaining_items:
-                                    if (
-                                        item_id in unclosed_item_ids and item_id in item_id_to_streaming_context
-                                    ):  # Check if still unclosed
-                                        streaming_context = item_id_to_streaming_context[item_id]
-                                        await streaming_context.close()
-                                        unclosed_item_ids.discard(item_id)
+                                    if (item_id in unclosed_item_ids and
+                                            item_id in
+                                            item_id_to_streaming_context):
+                                        streaming_context = (
+                                            item_id_to_streaming_context[
+                                                item_id
+                                            ]
+                                        )
+
+                                        # Don't close streaming contexts for text or reasoning
+                                        # They should just end with their last delta
+                                        if not isinstance(streaming_context.task_message.content, (TextContent, ReasoningContent)):
+                                            await streaming_context.close()
+                                            unclosed_item_ids.discard(item_id)
 
                 except InputGuardrailTripwireTriggered as e:
                     # Handle guardrail trigger by sending a rejection message
@@ -1014,16 +1104,22 @@ async def run_agent_streamed_auto_send(
                     raise
 
                 finally:
-                    # Cleanup: ensure all streaming contexts for this session are properly finished
-                    # Create a copy to avoid modifying set during iteration
+                    # Cleanup: ensure all streaming contexts for
+                    # this session are properly finished
+                    # Create copy to avoid modifying set in iteration
                     remaining_items = list(unclosed_item_ids)
                     for item_id in remaining_items:
-                        if (
-                            item_id in unclosed_item_ids and item_id in item_id_to_streaming_context
-                        ):  # Check if still unclosed
-                            streaming_context = item_id_to_streaming_context[item_id]
-                            await streaming_context.close()
-                            unclosed_item_ids.discard(item_id)
+                        if (item_id in unclosed_item_ids and
+                                item_id in item_id_to_streaming_context):
+                            streaming_context = (
+                                item_id_to_streaming_context[item_id]
+                            )
+
+                            # Don't close streaming contexts for text or reasoning
+                            # They should just end with their last delta
+                            if not isinstance(streaming_context.task_message.content, (TextContent, ReasoningContent)):
+                                await streaming_context.close()
+                                unclosed_item_ids.discard(item_id)
 
                 if span:
                     span.output = {
diff --git a/src/agentex/lib/core/services/adk/streaming.py b/src/agentex/lib/core/services/adk/streaming.py
index 57df2a14..9759df7f 100644
--- a/src/agentex/lib/core/services/adk/streaming.py
+++ b/src/agentex/lib/core/services/adk/streaming.py
@@ -208,6 +208,35 @@ async def open(self) -> "StreamingTaskMessageContext":
 
         return self
 
+    # Temp function to just send the full content
+    async def send_full_content(self) -> TaskMessage:
+        """Send the full content message to the repository without updating the task message."""
+        if not self.task_message:
+            raise ValueError("Context not properly initialized - no task message")
+
+        if self._is_closed:
+            return self.task_message  # Already done
+
+        # Update the task message with the final content from accumulated deltas
+        has_deltas = (
+            self._delta_accumulator._accumulated_deltas or 
+            self._delta_accumulator._reasoning_summaries or 
+            self._delta_accumulator._reasoning_contents
+        )
+        if has_deltas:
+            self.task_message.content = self._delta_accumulator.convert_to_content()
+
+        # Send the FULL event with the complete content
+        full_event = StreamTaskMessageFull(
+            parent_task_message=self.task_message,
+            content=self.task_message.content,
+            type="full",
+        )
+        await self._streaming_service.stream_update(full_event)
+
+        return self.task_message
+
+
     async def close(self) -> TaskMessage:
         """Close the streaming context."""
         if not self.task_message:
diff --git a/src/agentex/lib/utils/dev_tools/async_messages.py b/src/agentex/lib/utils/dev_tools/async_messages.py
index ec42033d..b03926de 100644
--- a/src/agentex/lib/utils/dev_tools/async_messages.py
+++ b/src/agentex/lib/utils/dev_tools/async_messages.py
@@ -50,8 +50,8 @@ def print_task_message(
     
     # Skip empty reasoning messages
     if isinstance(message.content, ReasoningContent):
-        has_summary = message.content.summary and any(s for s in message.content.summary if s)
-        has_content = message.content.content and any(c for c in message.content.content if c)
+        has_summary = bool(message.content.summary) and any(s for s in message.content.summary if s)
+        has_content = bool(message.content.content) and any(c for c in message.content.content if c) if message.content.content is not None else False
         if not has_summary and not has_content:
             return
     
@@ -136,18 +136,19 @@ def print_task_message(
     
     if rich_print and console:
         author_color = "bright_cyan" if message.content.author == "user" else "green"
-        title = f"[bold {author_color}]{message.content.author.upper()}[/bold {author_color}] [{timestamp}]"
         
-        # Use different border styles for tool messages
+        # Use different border styles and colors for different content types
         if content_type == "tool_request":
             border_style = "yellow"
         elif content_type == "tool_response":
             border_style = "bright_green"
         elif content_type == "reasoning":
             border_style = "bright_magenta"
+            author_color = "bright_magenta"  # Also make the author text magenta
         else:
             border_style = author_color
-            
+        
+        title = f"[bold {author_color}]{message.content.author.upper()}[/bold {author_color}] [{timestamp}]"
         panel = Panel(Markdown(content), title=title, border_style=border_style, width=80)
         console.print(panel)
     else:
@@ -330,6 +331,7 @@ def subscribe_to_async_task_messages(
                             
                             # Deserialize the discriminated union TaskMessageUpdate based on the "type" field
                             message_type = task_message_update_data.get("type", "unknown")
+
                             
                             # Handle different message types for streaming progress
                             if message_type == "start":
@@ -360,11 +362,20 @@ def subscribe_to_async_task_messages(
                                 if index in active_spinners:
                                     active_spinners[index].stop()
                                     del active_spinners[index]
+                                    # Ensure clean line after spinner
+                                    if print_messages:
+                                        print()
                                 
-                                if task_message_update.parent_task_message and task_message_update.parent_task_message.id:
-                                    finished_message = client.messages.retrieve(task_message_update.parent_task_message.id)
-                                    messages_to_return.append(finished_message)
-                                    print_task_message(finished_message, print_messages, rich_print)
+                                # Use the content directly from the stream event, not from re-fetching
+                                # The stream has the full content, but re-fetching sometimes returns empty arrays
+                                if task_message_update.parent_task_message:
+                                    # Create a temporary message object with the stream content for display
+                                    display_message = task_message_update.parent_task_message
+                                    # Override the content with the stream's full content
+                                    display_message.content = task_message_update.content
+                                    
+                                    messages_to_return.append(display_message)
+                                    print_task_message(display_message, print_messages, rich_print)
                                 
                             elif message_type == "done":
                                 task_message_update = StreamTaskMessageDone.model_validate(task_message_update_data)
@@ -374,12 +385,24 @@ def subscribe_to_async_task_messages(
                                 if index in active_spinners:
                                     active_spinners[index].stop()
                                     del active_spinners[index]
+                                    # Ensure clean line after spinner
+                                    if print_messages:
+                                        print()
                                 
                                 if task_message_update.parent_task_message and task_message_update.parent_task_message.id:
                                     finished_message = client.messages.retrieve(task_message_update.parent_task_message.id)
                                     messages_to_return.append(finished_message)
                                     print_task_message(finished_message, print_messages, rich_print)
                                 
+                                # Clean stream termination - break on done event
+                                if print_messages:
+                                    console = Console(width=80) if rich_print else None
+                                    if console:
+                                        console.print("[dim]Stream ended - received 'done' event[/dim]")
+                                    else:
+                                        print("Stream ended - received 'done' event")
+                                break
+                                
                             # Ignore "connected" message type
                             elif message_type == "connected":
                                 pass

From 585360815bcbad970f9597e220b6ee06fa1daa95 Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 13:57:14 -0700
Subject: [PATCH 02/12] INitial fix

---
 .../10_temporal/010_agent_chat/uv.lock        |  174 ++-
 uv.lock                                       | 1219 ++++++++++-------
 2 files changed, 922 insertions(+), 471 deletions(-)

diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/uv.lock b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/uv.lock
index 93b8812c..60b1d7b7 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/uv.lock
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/uv.lock
@@ -1,19 +1,27 @@
 version = 1
 revision = 2
 requires-python = ">=3.12"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version < '3.13'",
+]
 
 [[package]]
 name = "agentex-sdk"
-version = "0.4.4"
+version = "0.4.19"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohttp" },
     { name = "anyio" },
+    { name = "cloudpickle" },
+    { name = "datadog" },
+    { name = "ddtrace" },
     { name = "distro" },
     { name = "fastapi" },
     { name = "httpx" },
     { name = "ipykernel" },
     { name = "jinja2" },
+    { name = "json-log-formatter" },
     { name = "jsonref" },
     { name = "jsonschema" },
     { name = "kubernetes" },
@@ -40,9 +48,9 @@ dependencies = [
     { name = "uvicorn" },
     { name = "watchfiles" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f1/71/da254d0be86027e0ca3e80f77e24932442b90af5b8481fba00e5ff882115/agentex_sdk-0.4.4.tar.gz", hash = "sha256:544ed1b8f940763c766bdaf40d6c6cfb8e2fe0d4c9182182f7269f9843b82ca2", size = 629621, upload-time = "2025-08-17T08:18:27.673Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/16/04/36f3510cbfaa3222278aac8af5c7724054842f0916d0ebe4772d4e02f964/agentex_sdk-0.4.19.tar.gz", hash = "sha256:2aa3f50efa1e7ba840a6dba3d5b00fba0dd3f7e8f52e723e239a63557b7dfbfc", size = 890718, upload-time = "2025-10-01T16:09:45.614Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/ef/fc/6140a70a2225ee8d193fc40fd05bc47015b7eea41362f0b4487b9232dc8e/agentex_sdk-0.4.4-py3-none-any.whl", hash = "sha256:e07a7f626fa4268eea195c022d403606ff5d1532438c2b4a05c503298a2b9cf7", size = 338599, upload-time = "2025-08-17T08:18:25.982Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/8d/a6b2bad283e72aa0a467fe76ce4c2e70cd9cd784f8ae9a9550d538e9f11b/agentex_sdk-0.4.19-py3-none-any.whl", hash = "sha256:99d02456a5140c429c67bccdceaa89e3814dc8a1b8843399ccaf9fe795751218", size = 352662, upload-time = "2025-10-01T16:09:43.882Z" },
 ]
 
 [[package]]
@@ -222,6 +230,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/09/71/54e999902aed72baf26bca0d50781b01838251a462612966e9fc4891eadd/black-25.1.0-py3-none-any.whl", hash = "sha256:95e8176dae143ba9097f351d174fdaf0ccd29efb414b362ae3fd72bf0f710717", size = 207646, upload-time = "2025-01-29T04:15:38.082Z" },
 ]
 
+[[package]]
+name = "bytecode"
+version = "0.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/98/c4/4818b392104bd426171fc2ce9c79c8edb4019ba6505747626d0f7107766c/bytecode-0.17.0.tar.gz", hash = "sha256:0c37efa5bd158b1b873f530cceea2c645611d55bd2dc2a4758b09f185749b6fd", size = 105863, upload-time = "2025-09-03T19:55:45.703Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ce/80/379e685099841f8501a19fb58b496512ef432331fed38276c3938ab09d8e/bytecode-0.17.0-py3-none-any.whl", hash = "sha256:64fb10cde1db7ef5cc39bd414ecebd54ba3b40e1c4cf8121ca5e72f170916ff8", size = 43045, upload-time = "2025-09-03T19:55:43.879Z" },
+]
+
 [[package]]
 name = "cachetools"
 version = "5.5.2"
@@ -327,6 +344,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/85/32/10bb5764d90a8eee674e9dc6f4db6a0ab47c8c4d0d83c27f7c39ac415a4d/click-8.2.1-py3-none-any.whl", hash = "sha256:61a3265b914e850b85317d0b3109c7f8cd35a670f963866005d6ef1d5175a12b", size = 102215, upload-time = "2025-05-20T23:19:47.796Z" },
 ]
 
+[[package]]
+name = "cloudpickle"
+version = "3.1.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/52/39/069100b84d7418bc358d81669d5748efb14b9cceacd2f9c75f550424132f/cloudpickle-3.1.1.tar.gz", hash = "sha256:b216fa8ae4019d5482a8ac3c95d8f6346115d8835911fd4aefd1a445e4242c64", size = 22113, upload-time = "2025-01-14T17:02:05.085Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7e/e8/64c37fadfc2816a7701fa8a6ed8d87327c7d54eacfbfb6edab14a2f2be75/cloudpickle-3.1.1-py3-none-any.whl", hash = "sha256:c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e", size = 20992, upload-time = "2025-01-14T17:02:02.417Z" },
+]
+
 [[package]]
 name = "colorama"
 version = "0.4.6"
@@ -345,6 +371,56 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/60/97/891a0971e1e4a8c5d2b20bbe0e524dc04548d2307fee33cdeba148fd4fc7/comm-0.2.3-py3-none-any.whl", hash = "sha256:c615d91d75f7f04f095b30d1c1711babd43bdc6419c1be9886a85f2f4e489417", size = 7294, upload-time = "2025-07-25T14:02:02.896Z" },
 ]
 
+[[package]]
+name = "datadog"
+version = "0.52.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "requests" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/a9/e6/ec5e4b4dbecd63cecae94009ef6dde9ab421d7d0022e6027586cc3776921/datadog-0.52.1.tar.gz", hash = "sha256:44c6deb563c4522dba206fba2e2bb93d3b04113c40191851ba3a241d82b5fd0b", size = 368037, upload-time = "2025-07-31T15:49:43.425Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/90/19/e0e39f10169ca3e37fa6b5be2f6d1c729c92d677f1bd21ad6d448df8bec8/datadog-0.52.1-py2.py3-none-any.whl", hash = "sha256:b8c92cd761618ee062f114171067e4c400d48c9f0dad16cb285042439d9d5d4e", size = 129952, upload-time = "2025-07-31T15:49:41.8Z" },
+]
+
+[[package]]
+name = "ddtrace"
+version = "3.15.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "bytecode" },
+    { name = "envier" },
+    { name = "legacy-cgi", marker = "python_full_version >= '3.13'" },
+    { name = "opentelemetry-api" },
+    { name = "protobuf" },
+    { name = "wrapt" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/af/6b/15a712ea4aa390f50790af439edb9c08a21f126fea02fe500f9c223362fe/ddtrace-3.15.0.tar.gz", hash = "sha256:6f9df8cd22180c8521ab226f0b5ffc3ef2579484aa0daef879d4af3f3109d7a0", size = 7334604, upload-time = "2025-09-26T20:44:28.43Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c7/67/20e9785c8ad69f0d7aa48dadd056e056395c25fa93664faf4e835a934ed8/ddtrace-3.15.0-cp312-cp312-macosx_12_0_arm64.whl", hash = "sha256:da7a090dead082ac6b8cc8c9b915b6456f84a98d3091ecdd73412ba37348e734", size = 6316867, upload-time = "2025-09-26T20:42:27.351Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/6d/930ee734ce40fbd65c9599b6ce13b49fd6be18ee263f07aee26bd00673b8/ddtrace-3.15.0-cp312-cp312-macosx_12_0_x86_64.whl", hash = "sha256:33add489db723b4e7ee130173ad3cebbda5bee24fa400604e3b1d423aebe966c", size = 6663729, upload-time = "2025-09-26T20:42:29.828Z" },
+    { url = "https://files.pythonhosted.org/packages/57/4d/f9e2266ff45666ffb9064e8e58bfec88665d7ba6eb3c20e79e6396ed342e/ddtrace-3.15.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3c684efe655a26e7effb309e04656d71256f731f803b4dba4afa0c3954073158", size = 7359374, upload-time = "2025-09-26T20:42:31.997Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/96/cfbb203a551e417bfad6e4c11349bb94cdcd1a098f3100e3df230084bb27/ddtrace-3.15.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:c9375cdcf022c6320ac2853971c39de5d3e1393650d634ab2ddf02f222ab8a44", size = 7633990, upload-time = "2025-09-26T20:42:34.11Z" },
+    { url = "https://files.pythonhosted.org/packages/69/0b/3df92044fa40fc54d05ad31402d5cfe88ad23d2120e93457b52e9b8d8bb2/ddtrace-3.15.0-cp312-cp312-manylinux_2_28_i686.whl", hash = "sha256:e9e83b8bccfc96e9c41a89dcf3b0485b79d22e3350ffeddff9a1e925548d280a", size = 5481875, upload-time = "2025-09-26T20:42:36.464Z" },
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+
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 name = "yarl"
 version = "1.20.1"
diff --git a/uv.lock b/uv.lock
index c7a35067..6efbfe03 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,20 +1,27 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.12, <4"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version < '3.13'",
+]
 
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-version = "0.4.18"
+version = "0.4.19"
 source = { editable = "." }
 dependencies = [
     { name = "aiohttp" },
     { name = "anyio" },
     { name = "cloudpickle" },
+    { name = "datadog" },
+    { name = "ddtrace" },
     { name = "distro" },
     { name = "fastapi" },
     { name = "httpx" },
     { name = "ipykernel" },
     { name = "jinja2" },
+    { name = "json-log-formatter" },
     { name = "jsonref" },
     { name = "jsonschema" },
     { name = "kubernetes" },
@@ -64,12 +71,15 @@ requires-dist = [
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     { name = "anyio", specifier = ">=3.5.0,<5" },
     { name = "cloudpickle", specifier = ">=3.1.1" },
+    { name = "datadog", specifier = ">=0.52.1" },
+    { name = "ddtrace", specifier = ">=3.13.0" },
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     { name = "fastapi", specifier = ">=0.115.0,<0.116" },
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     { name = "ipykernel", specifier = ">=6.29.5" },
     { name = "jinja2", specifier = ">=3.1.3,<4" },
+    { name = "json-log-formatter", specifier = ">=1.1.1" },
     { name = "jsonref", specifier = ">=1.1.0,<2" },
     { name = "jsonschema", specifier = ">=4.23.0,<5" },
     { name = "kubernetes", specifier = ">=25.0.0,<29.0.0" },
@@ -190,16 +200,16 @@ wheels = [
 
 [[package]]
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+version = "4.11.0"
 source = { registry = "https://pypi.org/simple" }
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     { name = "sniffio" },
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+    { url = "https://files.pythonhosted.org/packages/15/b3/9b1a8074496371342ec1e796a96f99c82c945a339cd81a8e73de28b4cf9e/anyio-4.11.0-py3-none-any.whl", hash = "sha256:0287e96f4d26d4149305414d4e3bc32f0dcd0862365a4bddea19d7a1ec38c4fc", size = 109097, upload-time = "2025-09-23T09:19:10.601Z" },
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 ]
 
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+version = "0.17.0"
+source = { registry = "https://pypi.org/simple" }
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+wheels = [
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-source = { registry = "https://pypi.org/simple" }
-dependencies = [
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+
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 name = "yarl"
 version = "1.20.1"
@@ -2320,14 +2609,14 @@ wheels = [
 
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 [[package]]

From ca51a7024f23eb40d9f30227cbd7b1fdadb6ca96 Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 15:47:42 -0700
Subject: [PATCH 03/12] Fixing so reasoning sends proper done event

---
 .../10_temporal/010_agent_chat/dev.ipynb      | 586 +++++++++---------
 .../010_agent_chat/project/workflow.py        |   1 +
 .../lib/core/services/adk/providers/openai.py | 118 +---
 .../lib/core/services/adk/streaming.py        |  27 -
 .../lib/utils/dev_tools/async_messages.py     |   9 -
 5 files changed, 316 insertions(+), 425 deletions(-)

diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
index 62427389..b61f8773 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
@@ -32,7 +32,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Task(id='5a6d5aab-1417-4d33-be37-cd38145dd7d8', created_at=datetime.datetime(2025, 10, 1, 20, 52, 42, 794430, tzinfo=TzInfo(UTC)), name='35074162-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 20, 52, 42, 794430, tzinfo=TzInfo(UTC)))\n"
+      "Task(id='6dadfa71-39ba-47a8-b514-3d061291abe1', created_at=datetime.datetime(2025, 10, 1, 22, 44, 58, 805005, tzinfo=TzInfo(UTC)), name='7eb30b6f-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 22, 44, 58, 805005, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -62,7 +62,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Event(id='b884dbe9-22a7-43cb-9c37-0d59b0c6f3e6', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=71, task_id='5a6d5aab-1417-4d33-be37-cd38145dd7d8', content=TextContent(author='user', content='Write a funny interesting bed time story about cars and ants. Think hard and think multiple times per step.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 20, 52, 42, 843700, tzinfo=TzInfo(UTC)))\n"
+      "Event(id='22de6ef8-a87b-4a3d-94cd-491019a97dc3', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=95, task_id='6dadfa71-39ba-47a8-b514-3d061291abe1', content=TextContent(author='user', content='Write a funny interesting bed time story about cars and ants. Think hard and think multiple times per step.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 22, 44, 58, 860004, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -98,14 +98,14 @@
     {
      "data": {
       "text/html": [
-       "
╭───────────────────────── USER [10/01/2025 20:52:42] ─────────────────────────╮\n",
+       "
╭───────────────────────── USER [10/01/2025 22:44:58] ─────────────────────────╮\n",
        "│ Write a funny interesting bed time story about cars and ants. Think hard and │\n",
        "│ think multiple times per step.                                               │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 20:52:42] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
+       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 22:44:58] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
        "\u001b[96m│\u001b[0m Write a funny interesting bed time story about cars and ants. Think hard and \u001b[96m│\u001b[0m\n",
        "\u001b[96m│\u001b[0m think multiple times per step.                                               \u001b[96m│\u001b[0m\n",
        "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
@@ -118,40 +118,45 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "⠏ 🔄 Agent responding...Done message received for index: 0\n",
       "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 20:52:48] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/01/2025 22:45:03] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Creating a bedtime story                                                     │\n",
+       "│ Crafting a bedtime story                                                     │\n",
        "│                                                                              │\n",
-       "│ The user wants a funny bedtime story featuring cars and ants, specifically   │\n",
-       "│ asking for a thoughtful approach. I need to respond directly without         │\n",
-       "│ revealing my internal reasoning. I'll craft a short, entertaining tale with  │\n",
-       "│ humor and a gentle moral. The title could be “The Great Midnight Traffic     │\n",
-       "│ Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  │\n",
-       "│ the story light-hearted and engaging, perfect for bedtime. Now, let's write  │\n",
-       "│ it out!                                                                      │\n",
+       "│ The user is asking for a funny and interesting bedtime story featuring cars  │\n",
+       "│ and ants, so I should think carefully to ensure it's creative and suitable   │\n",
+       "│ for children. I’ll consider making the cars and ants anthropomorphic, which  │\n",
+       "│ could add a fun twist. Scenes like an ant village and Car City could be      │\n",
+       "│ great places for them to meet, perhaps for a race or picnic. A gentle moral  │\n",
+       "│ or soothing ending is essential, so I’ll keep the language simple yet        │\n",
+       "│ imaginative. I might also play with humor, like ants driving toy cars or     │\n",
+       "│ cars being afraid of crumbs. Let's go for a vivid but concise length, around │\n",
+       "│ 600-800 words.                                                               │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 20:52:48] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 22:45:03] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCreating a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCrafting a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user wants a funny bedtime story featuring cars and ants, specifically   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m asking for a thoughtful approach. I need to respond directly without         \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m revealing my internal reasoning. I'll craft a short, entertaining tale with  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m humor and a gentle moral. The title could be “The Great Midnight Traffic     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m the story light-hearted and engaging, perfect for bedtime. Now, let's write  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m it out!                                                                      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user is asking for a funny and interesting bedtime story featuring cars  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m and ants, so I should think carefully to ensure it's creative and suitable   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m for children. I’ll consider making the cars and ants anthropomorphic, which  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m could add a fun twist. Scenes like an ant village and Car City could be      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m great places for them to meet, perhaps for a race or picnic. A gentle moral  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m or soothing ending is essential, so I’ll keep the language simple yet        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m imaginative. I might also play with humor, like ants driving toy cars or     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m cars being afraid of crumbs. Let's go for a vivid but concise length, around \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 600-800 words.                                                               \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -162,60 +167,47 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "⠏ 🔄 Agent responding...Done message received for index: 0\n",
       "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 20:52:48] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/01/2025 22:45:07] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Creating a bedtime story                                                     │\n",
+       "│ Planning a bedtime story                                                     │\n",
        "│                                                                              │\n",
-       "│ The user wants a funny bedtime story featuring cars and ants, specifically   │\n",
-       "│ asking for a thoughtful approach. I need to respond directly without         │\n",
-       "│ revealing my internal reasoning. I'll craft a short, entertaining tale with  │\n",
-       "│ humor and a gentle moral. The title could be “The Great Midnight Traffic     │\n",
-       "│ Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  │\n",
-       "│ the story light-hearted and engaging, perfect for bedtime. Now, let's write  │\n",
-       "│ it out!                                                                      │\n",
+       "│ The user didn’t specify a length for the story, so I’ll aim for around       │\n",
+       "│ 500-700 words. I want to add a soothing closing line to help with sleep.     │\n",
+       "│ I’ll keep formatting simple, avoiding heavy styles or special characters.    │\n",
        "│                                                                              │\n",
-       "│ Crafting an entertaining bedtime story                                       │\n",
-       "│                                                                              │\n",
-       "│ The user requested a whimsical bedtime story that features cars and ants     │\n",
-       "│ with humor. I want to include characters like Old Bessie the beetle-shaped   │\n",
-       "│ car, Zoomer the sports car, and Busby the big bus. They should reflect their │\n",
-       "│ cleverness and existential musings. I’ll develop a fun plot about ants       │\n",
-       "│ building underground tunnels as race tracks, using dialogue to enhance the   │\n",
-       "│ story. I need to keep it around 500-700 words while making a gentle refusal  │\n",
-       "│ about my internal thought process. Now, let's bring this story to life!      │\n",
+       "│ For characters, I can use Archie the Ant or Carmen the Convertible, maybe    │\n",
+       "│ even Gertie the Garbage Truck! Other characters could be a sleepy sedan like │\n",
+       "│ Sammy and an inventive ant named Professor Antennae. The plot revolves       │\n",
+       "│ around a nocturnal adventure where ants and cars team up, perhaps to find a  │\n",
+       "│ lost spark. I’ll aim for funny moments, like ants dancing on windshield      │\n",
+       "│ wipers and building a ramp for gentle jumps!                                 │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 20:52:48] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 22:45:07] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCreating a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user wants a funny bedtime story featuring cars and ants, specifically   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m asking for a thoughtful approach. I need to respond directly without         \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m revealing my internal reasoning. I'll craft a short, entertaining tale with  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m humor and a gentle moral. The title could be “The Great Midnight Traffic     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m the story light-hearted and engaging, perfect for bedtime. Now, let's write  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m it out!                                                                      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mPlanning a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCrafting an entertaining bedtime story\u001b[0m                                       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user didn’t specify a length for the story, so I’ll aim for around       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 500-700 words. I want to add a soothing closing line to help with sleep.     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’ll keep formatting simple, avoiding heavy styles or special characters.    \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user requested a whimsical bedtime story that features cars and ants     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m with humor. I want to include characters like Old Bessie the beetle-shaped   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m car, Zoomer the sports car, and Busby the big bus. They should reflect their \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m cleverness and existential musings. I’ll develop a fun plot about ants       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m building underground tunnels as race tracks, using dialogue to enhance the   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m story. I need to keep it around 500-700 words while making a gentle refusal  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m about my internal thought process. Now, let's bring this story to life!      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m For characters, I can use Archie the Ant or Carmen the Convertible, maybe    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m even Gertie the Garbage Truck! Other characters could be a sleepy sedan like \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Sammy and an inventive ant named Professor Antennae. The plot revolves       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m around a nocturnal adventure where ants and cars team up, perhaps to find a  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m lost spark. I’ll aim for funny moments, like ants dancing on windshield      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m wipers and building a ramp for gentle jumps!                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -226,80 +218,49 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "⠇ 🔄 Agent responding...Done message received for index: 0\n",
       "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 20:52:48] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/01/2025 22:45:10] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Creating a bedtime story                                                     │\n",
-       "│                                                                              │\n",
-       "│ The user wants a funny bedtime story featuring cars and ants, specifically   │\n",
-       "│ asking for a thoughtful approach. I need to respond directly without         │\n",
-       "│ revealing my internal reasoning. I'll craft a short, entertaining tale with  │\n",
-       "│ humor and a gentle moral. The title could be “The Great Midnight Traffic     │\n",
-       "│ Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  │\n",
-       "│ the story light-hearted and engaging, perfect for bedtime. Now, let's write  │\n",
-       "│ it out!                                                                      │\n",
-       "│                                                                              │\n",
-       "│ Crafting an entertaining bedtime story                                       │\n",
-       "│                                                                              │\n",
-       "│ The user requested a whimsical bedtime story that features cars and ants     │\n",
-       "│ with humor. I want to include characters like Old Bessie the beetle-shaped   │\n",
-       "│ car, Zoomer the sports car, and Busby the big bus. They should reflect their │\n",
-       "│ cleverness and existential musings. I’ll develop a fun plot about ants       │\n",
-       "│ building underground tunnels as race tracks, using dialogue to enhance the   │\n",
-       "│ story. I need to keep it around 500-700 words while making a gentle refusal  │\n",
-       "│ about my internal thought process. Now, let's bring this story to life!      │\n",
-       "│                                                                              │\n",
-       "│ Creating a humorous story                                                    │\n",
+       "│ Creating a whimsical bedtime story                                           │\n",
        "│                                                                              │\n",
-       "│ The user wants a funny story involving ants directing traffic, cars learning │\n",
-       "│ to share, and ants using tiny traffic cones and leaves as convertible roofs. │\n",
-       "│ I’ll make sure to include puns to keep it light-hearted. I also think it’s   │\n",
-       "│ charming to have cars dreaming of oil-scented clouds and humming lullabies   │\n",
-       "│ as their engines purr. With this whimsical and amusing framework, I’m ready  │\n",
-       "│ to produce a delightful bedtime story for the user. Let’s get started on     │\n",
-       "│ that!                                                                        │\n",
+       "│ I’m thinking of a story titled \"The Great Midnight Picnic,\" where cars have  │\n",
+       "│ a secret life at night — maybe they even grow legs! It could involve a race  │\n",
+       "│ where ants hitch rides, but there's a twist: the cars feel anxious about     │\n",
+       "│ bedtime, and the ants help them relax and dream of open roads. I want to     │\n",
+       "│ craft a whimsical tale titled \"The Midnight Mechanics Club,\" where ants fix  │\n",
+       "│ Carmen's radiator leak with a leaf, and the cars reward them with a gentle   │\n",
+       "│ moonlight cruise. I'll add some humor, like ants bringing a paperclip as a   │\n",
+       "│ baton, and use alliteration throughout. To end, they all fall asleep, with   │\n",
+       "│ engines purring and ants snuggling in tire treads, while the moon tucks them │\n",
+       "│ in. It needs to be funny, interesting, and have soothing rhythmic details.   │\n",
+       "│ Let’s get crafting!                                                          │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 20:52:48] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 22:45:10] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCreating a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCreating a whimsical bedtime story\u001b[0m                                           \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user wants a funny bedtime story featuring cars and ants, specifically   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m asking for a thoughtful approach. I need to respond directly without         \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m revealing my internal reasoning. I'll craft a short, entertaining tale with  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m humor and a gentle moral. The title could be “The Great Midnight Traffic     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m Jam,” with characters like Anton the ant and possibly Antoinette. I’ll keep  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m the story light-hearted and engaging, perfect for bedtime. Now, let's write  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m it out!                                                                      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCrafting an entertaining bedtime story\u001b[0m                                       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user requested a whimsical bedtime story that features cars and ants     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m with humor. I want to include characters like Old Bessie the beetle-shaped   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m car, Zoomer the sports car, and Busby the big bus. They should reflect their \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m cleverness and existential musings. I’ll develop a fun plot about ants       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m building underground tunnels as race tracks, using dialogue to enhance the   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m story. I need to keep it around 500-700 words while making a gentle refusal  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m about my internal thought process. Now, let's bring this story to life!      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCreating a humorous story\u001b[0m                                                    \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user wants a funny story involving ants directing traffic, cars learning \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m to share, and ants using tiny traffic cones and leaves as convertible roofs. \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I’ll make sure to include puns to keep it light-hearted. I also think it’s   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m charming to have cars dreaming of oil-scented clouds and humming lullabies   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m as their engines purr. With this whimsical and amusing framework, I’m ready  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m to produce a delightful bedtime story for the user. Let’s get started on     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m that!                                                                        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’m thinking of a story titled \"The Great Midnight Picnic,\" where cars have  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m a secret life at night — maybe they even grow legs! It could involve a race  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m where ants hitch rides, but there's a twist: the cars feel anxious about     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m bedtime, and the ants help them relax and dream of open roads. I want to     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m craft a whimsical tale titled \"The Midnight Mechanics Club,\" where ants fix  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Carmen's radiator leak with a leaf, and the cars reward them with a gentle   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m moonlight cruise. I'll add some humor, like ants bringing a paperclip as a   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m baton, and use alliteration throughout. To end, they all fall asleep, with   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m engines purring and ants snuggling in tire treads, while the moon tucks them \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m in. It needs to be funny, interesting, and have soothing rhythmic details.   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Let’s get crafting!                                                          \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -310,242 +271,269 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "⠼ 🔄 Agent responding...Done message received for index: 0\n",
       "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 20:52:54] ─────────────────────────╮\n",
-       "│ I can’t share my internal step-by-step thoughts, but I can certainly write a │\n",
-       "│ funny, interesting bedtime story for you. Here it is:                        │\n",
+       "
╭──────────────────────── AGENT [10/01/2025 22:45:14] ─────────────────────────╮\n",
+       "│ Once upon a driveway, when the streetlights wore their sleepy hats and the   │\n",
+       "│ moon hummed a lullaby, the cars woke up.                                     │\n",
        "│                                                                              │\n",
-       "│ The Midnight Traffic Jam (and the Ants Who Solved It)                        │\n",
+       "│ Not because the cars were naughty or because anyone pressed their horns —    │\n",
+       "│ cars wake up at night to do a very important thing: they practice their      │\n",
+       "│ bedtime yawns. They stretch their headlights like sleepy eyes, they rattle a │\n",
+       "│ little in their mufflers, and they try very hard not to backfire a giggle.   │\n",
        "│                                                                              │\n",
-       "│ Once upon a half-moon night on the edge of Maple Street, when streetlights   │\n",
-       "│ yawned and the mailboxes snored, the cars woke up. They did not wake in the  │\n",
-       "│ way people do — with snores and stretch-and-stumbles — but with tiny honks,  │\n",
-       "│ little engine purrs, and the rustle of radio static that sounds suspiciously │\n",
-       "│ like someone humming off-key.                                                │\n",
+       "│ Down in a tiny crack between the curb and a dandelion lived an ant village   │\n",
+       "│ so small it could fit inside a teaspoon. The ants were excellent listeners.  │\n",
+       "│ They could hear the soft tick-tick of the radiator, the gentle thump of a    │\n",
+       "│ wheel settling, and, best of all, the puffing lullaby of the idling engine.  │\n",
+       "│ Their leader was Archie Ant — an ant with a helmet too big and a pocket full │\n",
+       "│ of breadcrumbs and curiosity.                                                │\n",
        "│                                                                              │\n",
-       "│ Old Bessie, the kindly blue sedan, stretched her wipers and sighed. \"Good    │\n",
-       "│ evening, world,\" she said, which sounded an awful lot like a car clearing    │\n",
-       "│ its throat.                                                                  │\n",
+       "│ One night, Archie heard a new sound: a hiccup in the biggest car on the      │\n",
+       "│ street. It was Carmen Convertible, whose paint was the color of sunbeams and │\n",
+       "│ who snored like a breeze through a paper bag when she had the windows down.  │\n",
+       "│ Tonight Carmen coughed a tiny clunk and sighed a worried sputter.            │\n",
        "│                                                                              │\n",
-       "│ Zoomer, a shiny red sports car who loved speed and glitter, revved and       │\n",
-       "│ winked his headlights. \"Race to the corner lamp?\" he asked.                  │\n",
+       "│ \"We must help!\" declared Archie, because ants always help. He gathered his   │\n",
+       "│ crew: Tilly (the tiny tinker), Two-Two (the fastest pair of antennae on the  │\n",
+       "│ block), and Professor Antennae, who wore glasses made from a lost earring.   │\n",
        "│                                                                              │\n",
-       "│ \"Not tonight,\" Busby the school-bus grumbled. \"We've got a moon-milk run.    │\n",
-       "│ Quiet and steady. We mustn’t wake the hedgehogs.\"                            │\n",
+       "│ The cars, being polite, rolled their windows down an inch and asked in their │\n",
+       "│ engine voices, \"What are you up to, little neighbors?\"                       │\n",
        "│                                                                              │\n",
-       "│ Just then, a tiny parade marched up the curb: the Ant Family. They were led  │\n",
-       "│ by Anton Ant, a tiny ant with a helmet made from a seed and a bright         │\n",
-       "│ paper-map he carried like a cape. His sister, Antoinette, balanced a thimble │\n",
-       "│ of sugar on her back. Their cousins, the Construction Crew, toted bits of    │\n",
-       "│ twine and a leaf that looked suspiciously like a road sign.                  │\n",
+       "│ Archie hopped onto Carmen's bumper and shouted back, \"Carmen, your tickle    │\n",
+       "│ pump is leaking giggles!\"                                                    │\n",
        "│                                                                              │\n",
-       "│ \"What are you doing out so late?\" Bessie asked, leaning her bumper down as   │\n",
-       "│ if to listen better.                                                         │\n",
+       "│ \"What?\" Carmen coughed, which sounded like a bubble popping in a bowl. \"I am │\n",
+       "│ leaking giggles?\"                                                            │\n",
        "│                                                                              │\n",
-       "│ \"We're on night duty,\" Anton said solemnly. \"When the humans sleep, we scout │\n",
-       "│ for crumbs and keep Maple Street tidy. Also, we heard a rumor: a midnight    │\n",
-       "│ traffic jam caused by a fallen pumpkin.\"                                     │\n",
+       "│ \"Not real giggles,\" said Professor Antennae gravely. \"Your fuel spark has    │\n",
+       "│ misplaced its sparkly. We can mend it with a breadcrumb bandage, a paperclip │\n",
+       "│ spring, and a leaf-lint patch.\"                                              │\n",
        "│                                                                              │\n",
-       "│ Sure enough, halfway down the block the cars came upon chaos. A Halloween    │\n",
-       "│ pumpkin, about the size of a mailbox but somehow even more stubborn, had     │\n",
-       "│ toppled into the middle of the street and refused to be moved. Zoomer tried  │\n",
-       "│ to nudge it; the pumpkin squeaked and rolled, like a sleepy bowling ball.    │\n",
-       "│ Busby tried to lift it with his bumper (cars do have feelings and also       │\n",
-       "│ surprising towing instincts), and Bessie attempted a gentle persuasion honk. │\n",
-       "│ Nothing worked.                                                              │\n",
+       "│ The cars had never heard of a breadcrumb bandage before. Sammy Sedan tried   │\n",
+       "│ not to sneeze. Gertie the Garbage Truck rolled her headlights like giant,    │\n",
+       "│ skeptical eyes. But Carmen's cough sounded like an old song in need of a     │\n",
+       "│ chorus, so she agreed to the plan.                                           │\n",
        "│                                                                              │\n",
-       "│ \"It’s a pumpkin jam!\" someone wheezed. The cars were stuck. Headlights       │\n",
-       "│ flashed in helpless confusion. Even the streetlights flicked on their        │\n",
-       "│ lampshades and whispered \"oh dear.\"                                          │\n",
+       "│ The ants got to work. Tilly fashioned a teeny wrench from a fallen thistle,  │\n",
+       "│ Two-Two ran for a paperclip (ant speed: very fast), and Archie recruited a   │\n",
+       "│ whole brigade to carry a crumb the size of a peanut. They marched in a proud │\n",
+       "│ line up Carmen's door handle, across her hood (they waved at Sammy down      │\n",
+       "│ below), and into her grille like explorers entering a cave.                  │\n",
        "│                                                                              │\n",
-       "│ Anton Ant walked up to the pumpkin, inspected a crack, and tapped it with a  │\n",
-       "│ twig. \"It's not the pumpkin that's the problem,\" he announced. \"It's the     │\n",
-       "│ instructions. Who's supposed to tell it how to roll?\"                        │\n",
+       "│ Inside, the engine world was marvelous: sparkly wires like spaghetti, warm   │\n",
+       "│ socks of rubber, and a tiny blinking light that blinked like a stargazing    │\n",
+       "│ eye. The spark had indeed slipped down behind the fuel fairy — a shy little  │\n",
+       "│ spark that loved to hide in funny places.                                    │\n",
        "│                                                                              │\n",
-       "│ \"Instructions?\" Zoomer scoffed. \"A pumpkin needs no instructions. It needs   │\n",
-       "│ momentum.\"                                                                   │\n",
+       "│ \"Now, remember your training,\" whispered Professor Antennae. \"Sing the       │\n",
+       "│ Fixing Song. It goes: nibble-nibble, twist-a-twist, tuck-in-tuck, do not     │\n",
+       "│ miss.\"                                                                       │\n",
        "│                                                                              │\n",
-       "│ Anton tipped his antenna. \"Exactly. But momentum needs a plan.\"              │\n",
+       "│ So they sang. Ant voices are small but very important; they have the power   │\n",
+       "│ to turn a rattly clunk into a purr. While they hummed, Tilly wound the       │\n",
+       "│ paperclip spring, Archie pressed the breadcrumb bandage over the leak (ant   │\n",
+       "│ adhesive: 100% love), and Two-Two tickled the shy spark until it giggled out │\n",
+       "│ from under a bolt and popped right back where it belonged.                   │\n",
        "│                                                                              │\n",
-       "│ So the Ant Construction Crew sprang to work. They fashioned a tiny ramp out  │\n",
-       "│ of a discarded cereal box, anchored it with pebbles, and painted a tiny      │\n",
-       "│ arrow with berry juice. Antoinette stood beside the pumpkin, conducting with │\n",
-       "│ a leaf, while the ants sang a low scraping chant that sounded suspiciously   │\n",
-       "│ like \"push, roll, scoot.\"                                                    │\n",
+       "│ Carmen sighed. This sigh was not the worried one from before — it was a      │\n",
+       "│ contented sigh, like a cat finding the sunbeam it lost. The headlights       │\n",
+       "│ blinked in gratitude, and every car on the block blinked back. Even the      │\n",
+       "│ streetlamp crackled a polite applause.                                       │\n",
        "│                                                                              │\n",
-       "│ The cars watched, fascinated. A thought — tiny but brave — hopped into       │\n",
-       "│ Zoomer's engine: maybe small solutions can have big effects. Bessie murmured │\n",
-       "│ an idea into her grille. Busby offered a bumper nudge, careful and kind.     │\n",
+       "│ \"You ants are brilliant!\" Carmen purred, and her engine made the softest     │\n",
+       "│ song anyone could imagine, like someone turning the pages of a book very     │\n",
+       "│ slowly.                                                                      │\n",
        "│                                                                              │\n",
-       "│ At Anton's cue, Busby counted down in a voice as steady as a metronome:      │\n",
-       "│ \"Three... two...\" The ants pushed with all their might; the cereal-box ramp  │\n",
-       "│ gave the pumpkin a polite little boost, and with a surprised squish, the     │\n",
-       "│ pumpkin rolled — not like a bowling ball but like a graceful moon across the │\n",
-       "│ asphalt — and tumbled gently into the gutter where it settled among leaves   │\n",
-       "│ like a lazy planet.                                                          │\n",
+       "│ \"To thank you,\" said Carmen, \"I will give you a Midnight Cruise.\"            │\n",
        "│                                                                              │\n",
-       "│ The cars cheered with a chorus of honks that made the hedgehogs blink and    │\n",
-       "│ the moon clap its silvery hands. Zoomer learned to admire the ants' tiny     │\n",
-       "│ teamwork. Bessie learned that sometimes asking for help is as brave as any   │\n",
-       "│ race. Busby learned that even a school-bus can be a gentle giant.            │\n",
+       "│ Ants had heard of cruises but only for crumbs. A car cruise sounded          │\n",
+       "│ extravagant. They were given tiny seatbelts woven from silk thread, and      │\n",
+       "│ Archie took the wheel (figuratively — his antennae brushed the steering      │\n",
+       "│ wheel like a conductor).                                                     │\n",
        "│                                                                              │\n",
-       "│ \"May I ride?\" whispered a small ant who had always wanted to see the world   │\n",
-       "│ from a tire's-eye view. Zoomer, being dramatic but generous, lowered a tire  │\n",
-       "│ just enough so the ant could hop onto his hubcap like a tiny merry-go-round. │\n",
-       "│ The ant waved a leaf-flag and declared himself ambassador of the under-tire  │\n",
-       "│ territories.                                                                 │\n",
+       "│ Carmen drove very slowly — slow enough that the ants could see the dew like  │\n",
+       "│ diamonds on the grass and the cat next door dreaming of moon-cheese in his   │\n",
+       "│ sleep. They rode past the lampposts that nodded like dozing giants, through  │\n",
+       "│ puddles that winked like silver coins, and along the sidewalk where shadows  │\n",
+       "│ hopped like little sheep.                                                    │\n",
        "│                                                                              │\n",
-       "│ As the night smoothed itself back into sleepy calm, the Ant Family packed up │\n",
-       "│ their twine and acorn signs. Anton straightened his seed-helmet and tipped   │\n",
-       "│ it at the cars. \"Goodnight, big wheel friends. If Maple Street ever needs a  │\n",
-       "│ nudge, you know where to find us.\"                                           │\n",
+       "│ The funniest part was when Carmen tried to whisper. Cars whisper by parking  │\n",
+       "│ so quietly that even the crickets keep their chirps hush-hush. But Carmen    │\n",
+       "│ had goosebumps of joy and she honked a tiny, embarrassed honk — Boop! The    │\n",
+       "│ ants fell into a polite tumble of laughter and used it to practice their     │\n",
+       "│ ticklish somersaults.                                                        │\n",
        "│                                                                              │\n",
-       "│ \"You bet,\" Zoomer said, his engine humming a lullaby. Bessie turned her key  │\n",
-       "│ — which is to say she turned herself politely toward the driveway — and      │\n",
-       "│ Busby rolled his windows down for a final breeze.                            │\n",
+       "│ At the end of the cruise, Carmen eased back into her spot. The ants carried  │\n",
+       "│ their paperclip trophy home through a parade of tire treads, each groove a   │\n",
+       "│ grand avenue in their small maps. Sammy Sedan hummed a lullaby — an engine   │\n",
+       "│ lullaby is a low, pleasant rumble — and little pockets in the tire treads    │\n",
+       "│ were just the right size for ant hammocks.                                   │\n",
        "│                                                                              │\n",
-       "│ On the quiet, a single streetlamp blinked, as if winking at the little world │\n",
-       "│ it watched. The cars settled into their lots like contented beasts, the ants │\n",
-       "│ crawled back into their cozy anthill apartments, and somewhere between the   │\n",
-       "│ hum of an engine and the rustle of a leaf, a lullaby began: the soft purr of │\n",
-       "│ a car's cooling, the tiny tick-tock of ant feet, and the distant sound of    │\n",
-       "│ the moon turning in its sleep.                                               │\n",
+       "│ Archie tucked himself into a tiny sock of rubber and pulled a crumb blanket  │\n",
+       "│ up to his chin. Professor Antennae adjusted his earring-glasses and nodded:  │\n",
+       "│ \"Another good night. The world is fixed, and so is our friend. Let us        │\n",
+       "│ sleep.\"                                                                      │\n",
        "│                                                                              │\n",
-       "│ \"Dream of open roads and leaf-bridges,\" Anton whispered to his family.       │\n",
+       "│ Carmen watched the ants snuggle like seeds in soil. She felt full — full of  │\n",
+       "│ friendship, full of moonlight, full of the soft satisfaction that comes      │\n",
+       "│ after helping someone.                                                       │\n",
        "│                                                                              │\n",
-       "│ \"Dream of fast lanes and sugar crumbs,\" Antoinette replied.                  │\n",
+       "│ \"Goodnight, little mechanics,\" she whispered. The whisper sounded like a     │\n",
+       "│ soft engine purr that said, in every language, \"You are brave. You are       │\n",
+       "│ clever. You are bedtime-ready.\"                                              │\n",
        "│                                                                              │\n",
-       "│ And the street, now peaceful and solved, let everyone — big and small,       │\n",
-       "│ rubber and chitin — fall into the most important thing of all: a gentle      │\n",
-       "│ night’s sleep, with pumpkins in the gutter and stars in their pockets.       │\n",
+       "│ The stars leaned closer to listen. The streetlight pulled its hat lower. The │\n",
+       "│ crickets counted like tiny, cheery clocks. And all across the driveway, cars │\n",
+       "│ and ants alike let their lids fall: headlights dimming, antennae folding,    │\n",
+       "│ engines breathing slow.                                                      │\n",
        "│                                                                              │\n",
-       "│ Goodnight, Maple Street. Goodnight, little ant and shiny car. Dream of the   │\n",
-       "│ next midnight adventure, when perhaps the traffic jam will be caused by a    │\n",
-       "│ flock of sleepy cupcakes.                                                    │\n",
+       "│ If you listen tonight as you tuck your pillow under your chin, you might     │\n",
+       "│ hear the faintest echo of the Fixing Song drifting on the breeze — a tiny,   │\n",
+       "│ twinkly tune about crumbs, paperclips, and very large hearts in small        │\n",
+       "│ bodies. It says, simply: help each other, take slow rides when you can, and  │\n",
+       "│ never be ashamed if you need a breadcrumb bandage now and then.              │\n",
        "│                                                                              │\n",
-       "│ The end.                                                                     │\n",
+       "│ Now close your eyes. Imagine the cars purring like distant thunder made of   │\n",
+       "│ cotton, and the ants dreaming big, inch-high dreams of giant peanut          │\n",
+       "│ mountains. Tomorrow there will be more adventures. But for now — goodnight,  │\n",
+       "│ little drivers and dreamers. Sleep tight; don't let the potholes bite.       │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [10/01/2025 20:52:54] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n",
-       "\u001b[32m│\u001b[0m I can’t share my internal step-by-step thoughts, but I can certainly write a \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m funny, interesting bedtime story for you. Here it is:                        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [10/01/2025 22:45:14] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Once upon a driveway, when the streetlights wore their sleepy hats and the   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m moon hummed a lullaby, the cars woke up.                                     \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The Midnight Traffic Jam (and the Ants Who Solved It)                        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Not because the cars were naughty or because anyone pressed their horns —    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m cars wake up at night to do a very important thing: they practice their      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m bedtime yawns. They stretch their headlights like sleepy eyes, they rattle a \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m little in their mufflers, and they try very hard not to backfire a giggle.   \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Once upon a half-moon night on the edge of Maple Street, when streetlights   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m yawned and the mailboxes snored, the cars woke up. They did not wake in the  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m way people do — with snores and stretch-and-stumbles — but with tiny honks,  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m little engine purrs, and the rustle of radio static that sounds suspiciously \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m like someone humming off-key.                                                \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Down in a tiny crack between the curb and a dandelion lived an ant village   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m so small it could fit inside a teaspoon. The ants were excellent listeners.  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m They could hear the soft tick-tick of the radiator, the gentle thump of a    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m wheel settling, and, best of all, the puffing lullaby of the idling engine.  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Their leader was Archie Ant — an ant with a helmet too big and a pocket full \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m of breadcrumbs and curiosity.                                                \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Old Bessie, the kindly blue sedan, stretched her wipers and sighed. \"Good    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m evening, world,\" she said, which sounded an awful lot like a car clearing    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m its throat.                                                                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m One night, Archie heard a new sound: a hiccup in the biggest car on the      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m street. It was Carmen Convertible, whose paint was the color of sunbeams and \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m who snored like a breeze through a paper bag when she had the windows down.  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Tonight Carmen coughed a tiny clunk and sighed a worried sputter.            \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Zoomer, a shiny red sports car who loved speed and glitter, revved and       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m winked his headlights. \"Race to the corner lamp?\" he asked.                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"We must help!\" declared Archie, because ants always help. He gathered his   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m crew: Tilly (the tiny tinker), Two-Two (the fastest pair of antennae on the  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m block), and Professor Antennae, who wore glasses made from a lost earring.   \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Not tonight,\" Busby the school-bus grumbled. \"We've got a moon-milk run.    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Quiet and steady. We mustn’t wake the hedgehogs.\"                            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The cars, being polite, rolled their windows down an inch and asked in their \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m engine voices, \"What are you up to, little neighbors?\"                       \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Just then, a tiny parade marched up the curb: the Ant Family. They were led  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m by Anton Ant, a tiny ant with a helmet made from a seed and a bright         \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m paper-map he carried like a cape. His sister, Antoinette, balanced a thimble \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m of sugar on her back. Their cousins, the Construction Crew, toted bits of    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m twine and a leaf that looked suspiciously like a road sign.                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Archie hopped onto Carmen's bumper and shouted back, \"Carmen, your tickle    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m pump is leaking giggles!\"                                                    \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"What are you doing out so late?\" Bessie asked, leaning her bumper down as   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m if to listen better.                                                         \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"What?\" Carmen coughed, which sounded like a bubble popping in a bowl. \"I am \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m leaking giggles?\"                                                            \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"We're on night duty,\" Anton said solemnly. \"When the humans sleep, we scout \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m for crumbs and keep Maple Street tidy. Also, we heard a rumor: a midnight    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m traffic jam caused by a fallen pumpkin.\"                                     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Not real giggles,\" said Professor Antennae gravely. \"Your fuel spark has    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m misplaced its sparkly. We can mend it with a breadcrumb bandage, a paperclip \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m spring, and a leaf-lint patch.\"                                              \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Sure enough, halfway down the block the cars came upon chaos. A Halloween    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m pumpkin, about the size of a mailbox but somehow even more stubborn, had     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m toppled into the middle of the street and refused to be moved. Zoomer tried  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m to nudge it; the pumpkin squeaked and rolled, like a sleepy bowling ball.    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Busby tried to lift it with his bumper (cars do have feelings and also       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m surprising towing instincts), and Bessie attempted a gentle persuasion honk. \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Nothing worked.                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The cars had never heard of a breadcrumb bandage before. Sammy Sedan tried   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m not to sneeze. Gertie the Garbage Truck rolled her headlights like giant,    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m skeptical eyes. But Carmen's cough sounded like an old song in need of a     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m chorus, so she agreed to the plan.                                           \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"It’s a pumpkin jam!\" someone wheezed. The cars were stuck. Headlights       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m flashed in helpless confusion. Even the streetlights flicked on their        \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m lampshades and whispered \"oh dear.\"                                          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The ants got to work. Tilly fashioned a teeny wrench from a fallen thistle,  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Two-Two ran for a paperclip (ant speed: very fast), and Archie recruited a   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m whole brigade to carry a crumb the size of a peanut. They marched in a proud \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m line up Carmen's door handle, across her hood (they waved at Sammy down      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m below), and into her grille like explorers entering a cave.                  \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Anton Ant walked up to the pumpkin, inspected a crack, and tapped it with a  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m twig. \"It's not the pumpkin that's the problem,\" he announced. \"It's the     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m instructions. Who's supposed to tell it how to roll?\"                        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Inside, the engine world was marvelous: sparkly wires like spaghetti, warm   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m socks of rubber, and a tiny blinking light that blinked like a stargazing    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m eye. The spark had indeed slipped down behind the fuel fairy — a shy little  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m spark that loved to hide in funny places.                                    \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Instructions?\" Zoomer scoffed. \"A pumpkin needs no instructions. It needs   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m momentum.\"                                                                   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Now, remember your training,\" whispered Professor Antennae. \"Sing the       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Fixing Song. It goes: nibble-nibble, twist-a-twist, tuck-in-tuck, do not     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m miss.\"                                                                       \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Anton tipped his antenna. \"Exactly. But momentum needs a plan.\"              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m So they sang. Ant voices are small but very important; they have the power   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m to turn a rattly clunk into a purr. While they hummed, Tilly wound the       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m paperclip spring, Archie pressed the breadcrumb bandage over the leak (ant   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m adhesive: 100% love), and Two-Two tickled the shy spark until it giggled out \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m from under a bolt and popped right back where it belonged.                   \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m So the Ant Construction Crew sprang to work. They fashioned a tiny ramp out  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m of a discarded cereal box, anchored it with pebbles, and painted a tiny      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m arrow with berry juice. Antoinette stood beside the pumpkin, conducting with \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m a leaf, while the ants sang a low scraping chant that sounded suspiciously   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m like \"push, roll, scoot.\"                                                    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Carmen sighed. This sigh was not the worried one from before — it was a      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m contented sigh, like a cat finding the sunbeam it lost. The headlights       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m blinked in gratitude, and every car on the block blinked back. Even the      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m streetlamp crackled a polite applause.                                       \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The cars watched, fascinated. A thought — tiny but brave — hopped into       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Zoomer's engine: maybe small solutions can have big effects. Bessie murmured \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m an idea into her grille. Busby offered a bumper nudge, careful and kind.     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"You ants are brilliant!\" Carmen purred, and her engine made the softest     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m song anyone could imagine, like someone turning the pages of a book very     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m slowly.                                                                      \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m At Anton's cue, Busby counted down in a voice as steady as a metronome:      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Three... two...\" The ants pushed with all their might; the cereal-box ramp  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m gave the pumpkin a polite little boost, and with a surprised squish, the     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m pumpkin rolled — not like a bowling ball but like a graceful moon across the \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m asphalt — and tumbled gently into the gutter where it settled among leaves   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m like a lazy planet.                                                          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"To thank you,\" said Carmen, \"I will give you a Midnight Cruise.\"            \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The cars cheered with a chorus of honks that made the hedgehogs blink and    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m the moon clap its silvery hands. Zoomer learned to admire the ants' tiny     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m teamwork. Bessie learned that sometimes asking for help is as brave as any   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m race. Busby learned that even a school-bus can be a gentle giant.            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Ants had heard of cruises but only for crumbs. A car cruise sounded          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m extravagant. They were given tiny seatbelts woven from silk thread, and      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Archie took the wheel (figuratively — his antennae brushed the steering      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m wheel like a conductor).                                                     \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"May I ride?\" whispered a small ant who had always wanted to see the world   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m from a tire's-eye view. Zoomer, being dramatic but generous, lowered a tire  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m just enough so the ant could hop onto his hubcap like a tiny merry-go-round. \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The ant waved a leaf-flag and declared himself ambassador of the under-tire  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m territories.                                                                 \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Carmen drove very slowly — slow enough that the ants could see the dew like  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m diamonds on the grass and the cat next door dreaming of moon-cheese in his   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m sleep. They rode past the lampposts that nodded like dozing giants, through  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m puddles that winked like silver coins, and along the sidewalk where shadows  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m hopped like little sheep.                                                    \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m As the night smoothed itself back into sleepy calm, the Ant Family packed up \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m their twine and acorn signs. Anton straightened his seed-helmet and tipped   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m it at the cars. \"Goodnight, big wheel friends. If Maple Street ever needs a  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m nudge, you know where to find us.\"                                           \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The funniest part was when Carmen tried to whisper. Cars whisper by parking  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m so quietly that even the crickets keep their chirps hush-hush. But Carmen    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m had goosebumps of joy and she honked a tiny, embarrassed honk — Boop! The    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m ants fell into a polite tumble of laughter and used it to practice their     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m ticklish somersaults.                                                        \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"You bet,\" Zoomer said, his engine humming a lullaby. Bessie turned her key  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m — which is to say she turned herself politely toward the driveway — and      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Busby rolled his windows down for a final breeze.                            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m At the end of the cruise, Carmen eased back into her spot. The ants carried  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m their paperclip trophy home through a parade of tire treads, each groove a   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m grand avenue in their small maps. Sammy Sedan hummed a lullaby — an engine   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m lullaby is a low, pleasant rumble — and little pockets in the tire treads    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m were just the right size for ant hammocks.                                   \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m On the quiet, a single streetlamp blinked, as if winking at the little world \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m it watched. The cars settled into their lots like contented beasts, the ants \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m crawled back into their cozy anthill apartments, and somewhere between the   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m hum of an engine and the rustle of a leaf, a lullaby began: the soft purr of \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m a car's cooling, the tiny tick-tock of ant feet, and the distant sound of    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m the moon turning in its sleep.                                               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Archie tucked himself into a tiny sock of rubber and pulled a crumb blanket  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m up to his chin. Professor Antennae adjusted his earring-glasses and nodded:  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Another good night. The world is fixed, and so is our friend. Let us        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m sleep.\"                                                                      \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Dream of open roads and leaf-bridges,\" Anton whispered to his family.       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Carmen watched the ants snuggle like seeds in soil. She felt full — full of  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m friendship, full of moonlight, full of the soft satisfaction that comes      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m after helping someone.                                                       \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Dream of fast lanes and sugar crumbs,\" Antoinette replied.                  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \"Goodnight, little mechanics,\" she whispered. The whisper sounded like a     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m soft engine purr that said, in every language, \"You are brave. You are       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m clever. You are bedtime-ready.\"                                              \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m And the street, now peaceful and solved, let everyone — big and small,       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m rubber and chitin — fall into the most important thing of all: a gentle      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m night’s sleep, with pumpkins in the gutter and stars in their pockets.       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m The stars leaned closer to listen. The streetlight pulled its hat lower. The \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m crickets counted like tiny, cheery clocks. And all across the driveway, cars \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m and ants alike let their lids fall: headlights dimming, antennae folding,    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m engines breathing slow.                                                      \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Goodnight, Maple Street. Goodnight, little ant and shiny car. Dream of the   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m next midnight adventure, when perhaps the traffic jam will be caused by a    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m flock of sleepy cupcakes.                                                    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m If you listen tonight as you tuck your pillow under your chin, you might     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m hear the faintest echo of the Fixing Song drifting on the breeze — a tiny,   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m twinkly tune about crumbs, paperclips, and very large hearts in small        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m bodies. It says, simply: help each other, take slow rides when you can, and  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m never be ashamed if you need a breadcrumb bandage now and then.              \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The end.                                                                     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Now close your eyes. Imagine the cars purring like distant thunder made of   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m cotton, and the ants dreaming big, inch-high dreams of giant peanut          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m mountains. Tomorrow there will be more adventures. But for now — goodnight,  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m little drivers and dreamers. Sleep tight; don't let the potholes bite.       \u001b[32m│\u001b[0m\n",
        "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -553,17 +541,11 @@
      "output_type": "display_data"
     },
     {
-     "data": {
-      "text/html": [
-       "
Stream ended - received 'done' event\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[2mStream ended - received \u001b[0m\u001b[2;32m'done'\u001b[0m\u001b[2m event\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Streaming timed out after 60 seconds - returning collected messages\n"
+     ]
     }
    ],
    "source": [
@@ -576,7 +558,7 @@
     "    only_after_timestamp=event.created_at, \n",
     "    print_messages=True,\n",
     "    rich_print=True,\n",
-    "    timeout=120,\n",
+    "    timeout=60,\n",
     ")"
    ]
   }
diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
index e57c7fee..67c12fbc 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
@@ -242,6 +242,7 @@ async def on_task_event_send(self, params: SendEventParams) -> None:
                 ),
                 # tools=[CALCULATOR_TOOL],
             )
+            # Response is finished from agent
             if self._state:
                 # Update the state with the final input list if available
                 final_list = getattr(run_result, "final_input_list", None)
diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index 0821545a..6275dcbf 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -18,10 +18,10 @@
     ResponseOutputItemAddedEvent,
     ResponseOutputItemDoneEvent,
     ResponseTextDeltaEvent,
+    ResponseReasoningSummaryPartAddedEvent,
     ResponseReasoningSummaryTextDeltaEvent,
-    ResponseReasoningSummaryTextDoneEvent,
-    ResponseReasoningTextDeltaEvent,
-    ResponseReasoningTextDoneEvent,
+    ResponseContentPartDoneEvent,
+    
 )
 from pydantic import BaseModel
 
@@ -734,7 +734,6 @@ async def run_agent_streamed_auto_send(
                     # Process streaming events with TaskMessage creation
                     async for event in result.stream_events():
                         heartbeat_if_in_workflow("processing stream event with auto send")
-                        
                         if event.type == "run_item_stream_event":
                             # Tool calls are now handled via raw response events
                             # for streaming arguments as they come in.
@@ -768,6 +767,7 @@ async def run_agent_streamed_auto_send(
                             if isinstance(
                                 event.data, ResponseOutputItemAddedEvent
                             ):
+                            
                                 # Handle new output item being added
                                 if event.data.item.type == "function_call":
                                     # Tool call is starting - just store mappings
@@ -776,7 +776,7 @@ async def run_agent_streamed_auto_send(
                                     tool_call_item_id_to_call_id[
                                         tool_call.id
                                     ] = tool_call.call_id
-
+                                    
                             elif isinstance(
                                 event.data, ResponseFunctionCallArgumentsDeltaEvent
                             ):
@@ -824,31 +824,32 @@ async def run_agent_streamed_auto_send(
                                         type="delta",
                                     ),
                                 )
+                            # Reasoning step one: new summary part added
+                            elif isinstance(event.data, ResponseReasoningSummaryPartAddedEvent):
+                                # We need to create a new streaming context for this reasoning item
+                                item_id = event.data.item_id
+                                streaming_context = self.streaming_service.streaming_task_message_context(
+                                    task_id=task_id,
+                                    initial_content=ReasoningContent(
+                                        author="agent",
+                                        summary=[],
+                                        content=[],
+                                        type="reasoning",
+                                        style="active",
+                                    ),
+                                )
 
+                                # Replace the existing streaming context (if it exists)
+                                # Why do we replace? Cause all the reasoning parts use the same item_id!
+                                item_id_to_streaming_context[item_id] = await streaming_context.open()
+                                unclosed_item_ids.add(item_id)
+                            
+                            # Reasoning step two: handling summary text delta
                             elif isinstance(event.data, ResponseReasoningSummaryTextDeltaEvent):
-                                # Handle reasoning summary text delta
                                 item_id = event.data.item_id
                                 summary_index = event.data.summary_index
 
-                                # Check if we already have a streaming context for this reasoning item
-                                if item_id not in item_id_to_streaming_context:
-                                    # Create a new streaming context for this reasoning item
-                                    streaming_context = self.streaming_service.streaming_task_message_context(
-                                        task_id=task_id,
-                                        initial_content=ReasoningContent(
-                                            author="agent",
-                                            summary=[],
-                                            content=[],
-                                            type="reasoning",
-                                            style="active",
-                                        ),
-                                    )
-                                    # Open the streaming context
-                                    item_id_to_streaming_context[item_id] = await streaming_context.open()
-                                    unclosed_item_ids.add(item_id)
-                                else:
-                                    streaming_context = item_id_to_streaming_context[item_id]
-
+                                streaming_context = item_id_to_streaming_context[item_id]
                                 # Stream the summary delta through the streaming service
                                 await streaming_context.stream_update(
                                     update=StreamTaskMessageDelta(
@@ -862,73 +863,16 @@ async def run_agent_streamed_auto_send(
                                     ),
                                 )
 
-                            elif isinstance(event.data, ResponseReasoningTextDeltaEvent):
-                                # Handle reasoning content text delta
-                                item_id = event.data.item_id
-                                content_index = event.data.content_index
-
-                                # Check if we already have a streaming context for this reasoning item
-                                if item_id not in item_id_to_streaming_context:
-                                    # Create a new streaming context for this reasoning item
-                                    streaming_context = self.streaming_service.streaming_task_message_context(
-                                        task_id=task_id,
-                                        initial_content=ReasoningContent(
-                                            author="agent",
-                                            summary=[],
-                                            content=[],
-                                            type="reasoning",
-                                            style="active",
-                                        ),
-                                    )
-                                    # Open the streaming context
-                                    item_id_to_streaming_context[item_id] = await streaming_context.open()
-                                    unclosed_item_ids.add(item_id)
-                                else:
-                                    streaming_context = item_id_to_streaming_context[item_id]
-
-                                # Stream the content delta through the streaming service
-                                await streaming_context.stream_update(
-                                    update=StreamTaskMessageDelta(
-                                        parent_task_message=streaming_context.task_message,
-                                        delta=ReasoningContentDelta(
-                                            content_index=content_index,
-                                            content_delta=event.data.delta,
-                                            type="reasoning_content",
-                                        ),
-                                        type="delta",
-                                    ),
-                                )
-
-                            elif isinstance(event.data, ResponseReasoningSummaryTextDoneEvent):
+                            # Reasoning step three: handling summary text done, closing the streaming context
+                            elif isinstance(event.data, ResponseContentPartDoneEvent):
                                 # Handle reasoning summary text completion
                                 item_id = event.data.item_id
                                 summary_index = event.data.summary_index
 
-                                # We do NOT close the streaming context here as there can be multiple
-                                # reasoning summaries. The context will be closed when the entire
-                                # output item is done (ResponseOutputItemDoneEvent)
-
-                                # You would think they would use the event ResponseReasoningSummaryPartDoneEvent
-                                # to close the streaming context, but they do!!!
-                                # They output both a ResponseReasoningSummaryTextDoneEvent and a ResponseReasoningSummaryPartDoneEvent
-                                # I have no idea why they do this.
-
-                                # But we send a full message for non streaming contexts
                                 streaming_context = item_id_to_streaming_context[item_id]
-                                await streaming_context.send_full_content()
-
-                            elif isinstance(event.data, ResponseReasoningTextDoneEvent):
-                                # Handle reasoning content text completion
-                                item_id = event.data.item_id
-                                content_index = event.data.content_index
-
-                                # We do NOT close the streaming context here as there can be multiple
-                                # reasoning content texts. The context will be closed when the entire
-                                # output item is done (ResponseOutputItemDoneEvent)
-
-                                # But we send a full message for non streaming contexts
-                                streaming_context = item_id_to_streaming_context[item_id]
-                                await streaming_context.send_full_content()
+                                logger.info(f"Closing streaming context for item_id: {item_id}")
+                                await streaming_context.close()
+                                unclosed_item_ids.remove(item_id)
 
                             elif isinstance(event.data, ResponseOutputItemDoneEvent):
                                 # Handle item completion
diff --git a/src/agentex/lib/core/services/adk/streaming.py b/src/agentex/lib/core/services/adk/streaming.py
index 9759df7f..e081a951 100644
--- a/src/agentex/lib/core/services/adk/streaming.py
+++ b/src/agentex/lib/core/services/adk/streaming.py
@@ -208,33 +208,6 @@ async def open(self) -> "StreamingTaskMessageContext":
 
         return self
 
-    # Temp function to just send the full content
-    async def send_full_content(self) -> TaskMessage:
-        """Send the full content message to the repository without updating the task message."""
-        if not self.task_message:
-            raise ValueError("Context not properly initialized - no task message")
-
-        if self._is_closed:
-            return self.task_message  # Already done
-
-        # Update the task message with the final content from accumulated deltas
-        has_deltas = (
-            self._delta_accumulator._accumulated_deltas or 
-            self._delta_accumulator._reasoning_summaries or 
-            self._delta_accumulator._reasoning_contents
-        )
-        if has_deltas:
-            self.task_message.content = self._delta_accumulator.convert_to_content()
-
-        # Send the FULL event with the complete content
-        full_event = StreamTaskMessageFull(
-            parent_task_message=self.task_message,
-            content=self.task_message.content,
-            type="full",
-        )
-        await self._streaming_service.stream_update(full_event)
-
-        return self.task_message
 
 
     async def close(self) -> TaskMessage:
diff --git a/src/agentex/lib/utils/dev_tools/async_messages.py b/src/agentex/lib/utils/dev_tools/async_messages.py
index b03926de..4dee981a 100644
--- a/src/agentex/lib/utils/dev_tools/async_messages.py
+++ b/src/agentex/lib/utils/dev_tools/async_messages.py
@@ -394,15 +394,6 @@ def subscribe_to_async_task_messages(
                                     messages_to_return.append(finished_message)
                                     print_task_message(finished_message, print_messages, rich_print)
                                 
-                                # Clean stream termination - break on done event
-                                if print_messages:
-                                    console = Console(width=80) if rich_print else None
-                                    if console:
-                                        console.print("[dim]Stream ended - received 'done' event[/dim]")
-                                    else:
-                                        print("Stream ended - received 'done' event")
-                                break
-                                
                             # Ignore "connected" message type
                             elif message_type == "connected":
                                 pass

From bc5f2e3683419a4c31ff17b411713a983ef0d5cc Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 15:52:32 -0700
Subject: [PATCH 04/12] Reverting some changes

---
 .../10_agentic/10_temporal/000_hello_acp/project/workflow.py | 3 ++-
 .../10_temporal/010_agent_chat/project/workflow.py           | 2 +-
 .../10_temporal/050_agent_chat_guardrails/pyproject.toml     | 5 +----
 src/agentex/lib/core/services/adk/streaming.py               | 2 --
 src/agentex/lib/utils/dev_tools/async_messages.py            | 1 -
 5 files changed, 4 insertions(+), 9 deletions(-)

diff --git a/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py b/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py
index d1f5507c..6ba915ee 100644
--- a/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py
+++ b/examples/tutorials/10_agentic/10_temporal/000_hello_acp/project/workflow.py
@@ -33,7 +33,8 @@ def __init__(self):
     @workflow.signal(name=SignalName.RECEIVE_EVENT)
     @override
     async def on_task_event_send(self, params: SendEventParams) -> None:
-            
+        logger.info(f"Received task message instruction: {params}")
+
         # 2. Echo back the client's message to show it in the UI. This is not done by default so the agent developer has full control over what is shown to the user.
         await adk.messages.create(task_id=params.task.id, content=params.event.content)
 
diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
index 67c12fbc..51fa7c37 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/project/workflow.py
@@ -163,6 +163,7 @@ def __init__(self):
     @workflow.signal(name=SignalName.RECEIVE_EVENT)
     @override
     async def on_task_event_send(self, params: SendEventParams) -> None:
+        logger.info(f"Received task message instruction: {params}")
 
         if not params.event.content:
             return
@@ -242,7 +243,6 @@ async def on_task_event_send(self, params: SendEventParams) -> None:
                 ),
                 # tools=[CALCULATOR_TOOL],
             )
-            # Response is finished from agent
             if self._state:
                 # Update the state with the final input list if available
                 final_list = getattr(run_result, "final_input_list", None)
diff --git a/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml b/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml
index 8cb42287..d3815934 100644
--- a/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml
+++ b/examples/tutorials/10_agentic/10_temporal/050_agent_chat_guardrails/pyproject.toml
@@ -9,7 +9,7 @@ description = "An AgentEx agentthat streams multiturn tool-enabled chat with tra
 readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
-    "agentex-sdk @ file://../../../../../",
+    "agentex-sdk",
     "debugpy>=1.8.15",
     "scale-gp",
 ]
@@ -22,9 +22,6 @@ dev = [
     "flake8",
 ]
 
-[tool.hatch.metadata]
-allow-direct-references = true
-
 [tool.hatch.build.targets.wheel]
 packages = ["project"]
 
diff --git a/src/agentex/lib/core/services/adk/streaming.py b/src/agentex/lib/core/services/adk/streaming.py
index e081a951..57df2a14 100644
--- a/src/agentex/lib/core/services/adk/streaming.py
+++ b/src/agentex/lib/core/services/adk/streaming.py
@@ -208,8 +208,6 @@ async def open(self) -> "StreamingTaskMessageContext":
 
         return self
 
-
-
     async def close(self) -> TaskMessage:
         """Close the streaming context."""
         if not self.task_message:
diff --git a/src/agentex/lib/utils/dev_tools/async_messages.py b/src/agentex/lib/utils/dev_tools/async_messages.py
index 4dee981a..068cb8b7 100644
--- a/src/agentex/lib/utils/dev_tools/async_messages.py
+++ b/src/agentex/lib/utils/dev_tools/async_messages.py
@@ -332,7 +332,6 @@ def subscribe_to_async_task_messages(
                             # Deserialize the discriminated union TaskMessageUpdate based on the "type" field
                             message_type = task_message_update_data.get("type", "unknown")
 
-                            
                             # Handle different message types for streaming progress
                             if message_type == "start":
                                 task_message_update = StreamTaskMessageStart.model_validate(task_message_update_data)

From 1e7475b2cee8621910f3f58d363fe84389684b4c Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 16:57:53 -0700
Subject: [PATCH 05/12] Small bugfix

---
 .../10_temporal/010_agent_chat/dev.ipynb      |  476 +---
 .../logs/openai_stream_events.log             | 2342 +++++++++++++++++
 .../lib/core/services/adk/providers/openai.py |   49 +-
 .../lib/utils/dev_tools/async_messages.py     |   18 +-
 4 files changed, 2467 insertions(+), 418 deletions(-)
 create mode 100644 examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log

diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
index b61f8773..6dd7bf8b 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
@@ -32,7 +32,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Task(id='6dadfa71-39ba-47a8-b514-3d061291abe1', created_at=datetime.datetime(2025, 10, 1, 22, 44, 58, 805005, tzinfo=TzInfo(UTC)), name='7eb30b6f-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 22, 44, 58, 805005, tzinfo=TzInfo(UTC)))\n"
+      "Task(id='275dedaa-5f65-44be-bba4-299cf0ea9d4c', created_at=datetime.datetime(2025, 10, 1, 23, 54, 5, 688746, tzinfo=TzInfo(UTC)), name='9822ec1e-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 23, 54, 5, 688746, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": null,
    "id": "3",
    "metadata": {},
    "outputs": [
@@ -62,7 +62,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Event(id='22de6ef8-a87b-4a3d-94cd-491019a97dc3', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=95, task_id='6dadfa71-39ba-47a8-b514-3d061291abe1', content=TextContent(author='user', content='Write a funny interesting bed time story about cars and ants. Think hard and think multiple times per step.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 22, 44, 58, 860004, tzinfo=TzInfo(UTC)))\n"
+      "Event(id='4e21f97b-76b9-497e-ab6e-13cd9703195c', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=128, task_id='275dedaa-5f65-44be-bba4-299cf0ea9d4c', content=TextContent(author='user', content='Tell me about recent AI news', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 23, 54, 5, 735408, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -80,7 +80,7 @@
     "rpc_response = client.agents.send_event(\n",
     "    agent_name=AGENT_NAME,\n",
     "    params={\n",
-    "        \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Write a funny interesting bed time story about cars and ants. Think hard and think multiple times per step.\"},\n",
+    "        \"content\": {\"type\": \"text\", \"author\": \"user\", \"content\": \"Tell me about recent AI news for today only.\"},\n",
     "        \"task_id\": task.id,\n",
     "    }\n",
     ")\n",
@@ -91,124 +91,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": null,
    "id": "4",
    "metadata": {},
    "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "
╭───────────────────────── USER [10/01/2025 22:44:58] ─────────────────────────╮\n",
-       "│ Write a funny interesting bed time story about cars and ants. Think hard and │\n",
-       "│ think multiple times per step.                                               │\n",
-       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 22:44:58] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
-       "\u001b[96m│\u001b[0m Write a funny interesting bed time story about cars and ants. Think hard and \u001b[96m│\u001b[0m\n",
-       "\u001b[96m│\u001b[0m think multiple times per step.                                               \u001b[96m│\u001b[0m\n",
-       "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "⠏ 🔄 Agent responding...Done message received for index: 0\n",
-      "                        \n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 22:45:03] ─────────────────────────╮\n",
-       "│ 🧠 Reasoning                                                                 │\n",
-       "│                                                                              │\n",
-       "│ Crafting a bedtime story                                                     │\n",
-       "│                                                                              │\n",
-       "│ The user is asking for a funny and interesting bedtime story featuring cars  │\n",
-       "│ and ants, so I should think carefully to ensure it's creative and suitable   │\n",
-       "│ for children. I’ll consider making the cars and ants anthropomorphic, which  │\n",
-       "│ could add a fun twist. Scenes like an ant village and Car City could be      │\n",
-       "│ great places for them to meet, perhaps for a race or picnic. A gentle moral  │\n",
-       "│ or soothing ending is essential, so I’ll keep the language simple yet        │\n",
-       "│ imaginative. I might also play with humor, like ants driving toy cars or     │\n",
-       "│ cars being afraid of crumbs. Let's go for a vivid but concise length, around │\n",
-       "│ 600-800 words.                                                               │\n",
-       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
-       "
\n"
-      ],
-      "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 22:45:03] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
-       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCrafting a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user is asking for a funny and interesting bedtime story featuring cars  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m and ants, so I should think carefully to ensure it's creative and suitable   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m for children. I’ll consider making the cars and ants anthropomorphic, which  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m could add a fun twist. Scenes like an ant village and Car City could be      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m great places for them to meet, perhaps for a race or picnic. A gentle moral  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m or soothing ending is essential, so I’ll keep the language simple yet        \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m imaginative. I might also play with humor, like ants driving toy cars or     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m cars being afraid of crumbs. Let's go for a vivid but concise length, around \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m 600-800 words.                                                               \u001b[95m│\u001b[0m\n",
-       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "⠏ 🔄 Agent responding...Done message received for index: 0\n",
-      "                        \n"
+      "Full message receiveddata: {\"type\":\"full\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf1d54b21893aff2d7b4\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"text\",\"author\":\"user\",\"style\":\"static\",\"format\":\"plain\",\"content\":\"Tell me about recent AI news\",\"attachments\":null},\"streaming_status\":null,\"created_at\":\"2025-10-01T23:54:05.800260Z\",\"updated_at\":\"2025-10-01T23:54:05.800260Z\"},\"content\":{\"type\":\"text\",\"author\":\"user\",\"style\":\"static\",\"format\":\"plain\",\"content\":\"Tell me about recent AI news\",\"attachments\":null}}\n",
+      "\n",
+      "\n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 22:45:07] ─────────────────────────╮\n",
-       "│ 🧠 Reasoning                                                                 │\n",
-       "│                                                                              │\n",
-       "│ Planning a bedtime story                                                     │\n",
-       "│                                                                              │\n",
-       "│ The user didn’t specify a length for the story, so I’ll aim for around       │\n",
-       "│ 500-700 words. I want to add a soothing closing line to help with sleep.     │\n",
-       "│ I’ll keep formatting simple, avoiding heavy styles or special characters.    │\n",
-       "│                                                                              │\n",
-       "│ For characters, I can use Archie the Ant or Carmen the Convertible, maybe    │\n",
-       "│ even Gertie the Garbage Truck! Other characters could be a sleepy sedan like │\n",
-       "│ Sammy and an inventive ant named Professor Antennae. The plot revolves       │\n",
-       "│ around a nocturnal adventure where ants and cars team up, perhaps to find a  │\n",
-       "│ lost spark. I’ll aim for funny moments, like ants dancing on windshield      │\n",
-       "│ wipers and building a ramp for gentle jumps!                                 │\n",
-       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
╭───────────────────────── USER [10/01/2025 23:54:05] ─────────────────────────╮\n",
+       "│ Tell me about recent AI news                                                 │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 22:45:07] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
-       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mPlanning a bedtime story\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user didn’t specify a length for the story, so I’ll aim for around       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m 500-700 words. I want to add a soothing closing line to help with sleep.     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I’ll keep formatting simple, avoiding heavy styles or special characters.    \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m For characters, I can use Archie the Ant or Carmen the Convertible, maybe    \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m even Gertie the Garbage Truck! Other characters could be a sleepy sedan like \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m Sammy and an inventive ant named Professor Antennae. The plot revolves       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m around a nocturnal adventure where ants and cars team up, perhaps to find a  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m lost spark. I’ll aim for funny moments, like ants dancing on windshield      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m wipers and building a ramp for gentle jumps!                                 \u001b[95m│\u001b[0m\n",
-       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 23:54:05] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
+       "\u001b[96m│\u001b[0m Tell me about recent AI news                                                 \u001b[96m│\u001b[0m\n",
+       "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -218,49 +125,46 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "⠇ 🔄 Agent responding...Done message received for index: 0\n",
+      "Start message receiveddata: {\"type\":\"start\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2354b21893aff2d7b5\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"active\",\"summary\":[],\"content\":[]},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:11.197784Z\",\"updated_at\":\"2025-10-01T23:54:11.197784Z\"},\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"active\",\"summary\":[],\"content\":[]}}\n",
+      "\n",
+      "\n",
+      "⠙ 🔄 Agent responding...Full message receiveddata: {\"type\":\"full\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2354b21893aff2d7b5\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"active\",\"summary\":[],\"content\":[]},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:11.197784Z\",\"updated_at\":\"2025-10-01T23:54:11.197784Z\"},\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"static\",\"summary\":[\"**Searching for recent AI news**\\n\\nThe user is asking for recent news about AI. Since my last knowledge cut-off was June 2024, I need to use the web search tool to find current stories. I’ll query for news from September 2025 and summarize key topics, like major releases from companies such as OpenAI and Google, regulations, new models, NVIDIA updates, and AI safety advancements. It makes sense to search for “AI news September 2025” as we're now on October 1, 2025. Let's proceed with the search!\"],\"content\":[]}}\n",
+      "\n",
+      "\n",
       "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 22:45:10] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/01/2025 23:54:11] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Creating a whimsical bedtime story                                           │\n",
+       "│ Searching for recent AI news                                                 │\n",
        "│                                                                              │\n",
-       "│ I’m thinking of a story titled \"The Great Midnight Picnic,\" where cars have  │\n",
-       "│ a secret life at night — maybe they even grow legs! It could involve a race  │\n",
-       "│ where ants hitch rides, but there's a twist: the cars feel anxious about     │\n",
-       "│ bedtime, and the ants help them relax and dream of open roads. I want to     │\n",
-       "│ craft a whimsical tale titled \"The Midnight Mechanics Club,\" where ants fix  │\n",
-       "│ Carmen's radiator leak with a leaf, and the cars reward them with a gentle   │\n",
-       "│ moonlight cruise. I'll add some humor, like ants bringing a paperclip as a   │\n",
-       "│ baton, and use alliteration throughout. To end, they all fall asleep, with   │\n",
-       "│ engines purring and ants snuggling in tire treads, while the moon tucks them │\n",
-       "│ in. It needs to be funny, interesting, and have soothing rhythmic details.   │\n",
-       "│ Let’s get crafting!                                                          │\n",
+       "│ The user is asking for recent news about AI. Since my last knowledge cut-off │\n",
+       "│ was June 2024, I need to use the web search tool to find current stories.    │\n",
+       "│ I’ll query for news from September 2025 and summarize key topics, like major │\n",
+       "│ releases from companies such as OpenAI and Google, regulations, new models,  │\n",
+       "│ NVIDIA updates, and AI safety advancements. It makes sense to search for “AI │\n",
+       "│ news September 2025” as we're now on October 1, 2025. Let's proceed with the │\n",
+       "│ search!                                                                      │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 22:45:10] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 23:54:11] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCreating a whimsical bedtime story\u001b[0m                                           \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mSearching for recent AI news\u001b[0m                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I’m thinking of a story titled \"The Great Midnight Picnic,\" where cars have  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m a secret life at night — maybe they even grow legs! It could involve a race  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m where ants hitch rides, but there's a twist: the cars feel anxious about     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m bedtime, and the ants help them relax and dream of open roads. I want to     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m craft a whimsical tale titled \"The Midnight Mechanics Club,\" where ants fix  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m Carmen's radiator leak with a leaf, and the cars reward them with a gentle   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m moonlight cruise. I'll add some humor, like ants bringing a paperclip as a   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m baton, and use alliteration throughout. To end, they all fall asleep, with   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m engines purring and ants snuggling in tire treads, while the moon tucks them \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m in. It needs to be funny, interesting, and have soothing rhythmic details.   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m Let’s get crafting!                                                          \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user is asking for recent news about AI. Since my last knowledge cut-off \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m was June 2024, I need to use the web search tool to find current stories.    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’ll query for news from September 2025 and summarize key topics, like major \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m releases from companies such as OpenAI and Google, regulations, new models,  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m NVIDIA updates, and AI safety advancements. It makes sense to search for “AI \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m news September 2025” as we're now on October 1, 2025. Let's proceed with the \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m search!                                                                      \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -271,281 +175,59 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "⠼ 🔄 Agent responding...Done message received for index: 0\n",
+      "Start message receiveddata: {\"type\":\"start\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2454b21893aff2d7b6\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:12.601365Z\",\"updated_at\":\"2025-10-01T23:54:12.601365Z\"},\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}}}\n",
+      "\n",
+      "\n",
+      "⠋ 🔄 Agent responding...Full message receiveddata: {\"type\":\"full\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2454b21893aff2d7b6\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:12.601365Z\",\"updated_at\":\"2025-10-01T23:54:12.601365Z\"},\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}}}\n",
+      "\n",
+      "\n",
       "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 22:45:14] ─────────────────────────╮\n",
-       "│ Once upon a driveway, when the streetlights wore their sleepy hats and the   │\n",
-       "│ moon hummed a lullaby, the cars woke up.                                     │\n",
-       "│                                                                              │\n",
-       "│ Not because the cars were naughty or because anyone pressed their horns —    │\n",
-       "│ cars wake up at night to do a very important thing: they practice their      │\n",
-       "│ bedtime yawns. They stretch their headlights like sleepy eyes, they rattle a │\n",
-       "│ little in their mufflers, and they try very hard not to backfire a giggle.   │\n",
-       "│                                                                              │\n",
-       "│ Down in a tiny crack between the curb and a dandelion lived an ant village   │\n",
-       "│ so small it could fit inside a teaspoon. The ants were excellent listeners.  │\n",
-       "│ They could hear the soft tick-tick of the radiator, the gentle thump of a    │\n",
-       "│ wheel settling, and, best of all, the puffing lullaby of the idling engine.  │\n",
-       "│ Their leader was Archie Ant — an ant with a helmet too big and a pocket full │\n",
-       "│ of breadcrumbs and curiosity.                                                │\n",
-       "│                                                                              │\n",
-       "│ One night, Archie heard a new sound: a hiccup in the biggest car on the      │\n",
-       "│ street. It was Carmen Convertible, whose paint was the color of sunbeams and │\n",
-       "│ who snored like a breeze through a paper bag when she had the windows down.  │\n",
-       "│ Tonight Carmen coughed a tiny clunk and sighed a worried sputter.            │\n",
-       "│                                                                              │\n",
-       "│ \"We must help!\" declared Archie, because ants always help. He gathered his   │\n",
-       "│ crew: Tilly (the tiny tinker), Two-Two (the fastest pair of antennae on the  │\n",
-       "│ block), and Professor Antennae, who wore glasses made from a lost earring.   │\n",
-       "│                                                                              │\n",
-       "│ The cars, being polite, rolled their windows down an inch and asked in their │\n",
-       "│ engine voices, \"What are you up to, little neighbors?\"                       │\n",
-       "│                                                                              │\n",
-       "│ Archie hopped onto Carmen's bumper and shouted back, \"Carmen, your tickle    │\n",
-       "│ pump is leaking giggles!\"                                                    │\n",
-       "│                                                                              │\n",
-       "│ \"What?\" Carmen coughed, which sounded like a bubble popping in a bowl. \"I am │\n",
-       "│ leaking giggles?\"                                                            │\n",
-       "│                                                                              │\n",
-       "│ \"Not real giggles,\" said Professor Antennae gravely. \"Your fuel spark has    │\n",
-       "│ misplaced its sparkly. We can mend it with a breadcrumb bandage, a paperclip │\n",
-       "│ spring, and a leaf-lint patch.\"                                              │\n",
-       "│                                                                              │\n",
-       "│ The cars had never heard of a breadcrumb bandage before. Sammy Sedan tried   │\n",
-       "│ not to sneeze. Gertie the Garbage Truck rolled her headlights like giant,    │\n",
-       "│ skeptical eyes. But Carmen's cough sounded like an old song in need of a     │\n",
-       "│ chorus, so she agreed to the plan.                                           │\n",
-       "│                                                                              │\n",
-       "│ The ants got to work. Tilly fashioned a teeny wrench from a fallen thistle,  │\n",
-       "│ Two-Two ran for a paperclip (ant speed: very fast), and Archie recruited a   │\n",
-       "│ whole brigade to carry a crumb the size of a peanut. They marched in a proud │\n",
-       "│ line up Carmen's door handle, across her hood (they waved at Sammy down      │\n",
-       "│ below), and into her grille like explorers entering a cave.                  │\n",
-       "│                                                                              │\n",
-       "│ Inside, the engine world was marvelous: sparkly wires like spaghetti, warm   │\n",
-       "│ socks of rubber, and a tiny blinking light that blinked like a stargazing    │\n",
-       "│ eye. The spark had indeed slipped down behind the fuel fairy — a shy little  │\n",
-       "│ spark that loved to hide in funny places.                                    │\n",
-       "│                                                                              │\n",
-       "│ \"Now, remember your training,\" whispered Professor Antennae. \"Sing the       │\n",
-       "│ Fixing Song. It goes: nibble-nibble, twist-a-twist, tuck-in-tuck, do not     │\n",
-       "│ miss.\"                                                                       │\n",
-       "│                                                                              │\n",
-       "│ So they sang. Ant voices are small but very important; they have the power   │\n",
-       "│ to turn a rattly clunk into a purr. While they hummed, Tilly wound the       │\n",
-       "│ paperclip spring, Archie pressed the breadcrumb bandage over the leak (ant   │\n",
-       "│ adhesive: 100% love), and Two-Two tickled the shy spark until it giggled out │\n",
-       "│ from under a bolt and popped right back where it belonged.                   │\n",
-       "│                                                                              │\n",
-       "│ Carmen sighed. This sigh was not the worried one from before — it was a      │\n",
-       "│ contented sigh, like a cat finding the sunbeam it lost. The headlights       │\n",
-       "│ blinked in gratitude, and every car on the block blinked back. Even the      │\n",
-       "│ streetlamp crackled a polite applause.                                       │\n",
-       "│                                                                              │\n",
-       "│ \"You ants are brilliant!\" Carmen purred, and her engine made the softest     │\n",
-       "│ song anyone could imagine, like someone turning the pages of a book very     │\n",
-       "│ slowly.                                                                      │\n",
-       "│                                                                              │\n",
-       "│ \"To thank you,\" said Carmen, \"I will give you a Midnight Cruise.\"            │\n",
-       "│                                                                              │\n",
-       "│ Ants had heard of cruises but only for crumbs. A car cruise sounded          │\n",
-       "│ extravagant. They were given tiny seatbelts woven from silk thread, and      │\n",
-       "│ Archie took the wheel (figuratively — his antennae brushed the steering      │\n",
-       "│ wheel like a conductor).                                                     │\n",
-       "│                                                                              │\n",
-       "│ Carmen drove very slowly — slow enough that the ants could see the dew like  │\n",
-       "│ diamonds on the grass and the cat next door dreaming of moon-cheese in his   │\n",
-       "│ sleep. They rode past the lampposts that nodded like dozing giants, through  │\n",
-       "│ puddles that winked like silver coins, and along the sidewalk where shadows  │\n",
-       "│ hopped like little sheep.                                                    │\n",
-       "│                                                                              │\n",
-       "│ The funniest part was when Carmen tried to whisper. Cars whisper by parking  │\n",
-       "│ so quietly that even the crickets keep their chirps hush-hush. But Carmen    │\n",
-       "│ had goosebumps of joy and she honked a tiny, embarrassed honk — Boop! The    │\n",
-       "│ ants fell into a polite tumble of laughter and used it to practice their     │\n",
-       "│ ticklish somersaults.                                                        │\n",
-       "│                                                                              │\n",
-       "│ At the end of the cruise, Carmen eased back into her spot. The ants carried  │\n",
-       "│ their paperclip trophy home through a parade of tire treads, each groove a   │\n",
-       "│ grand avenue in their small maps. Sammy Sedan hummed a lullaby — an engine   │\n",
-       "│ lullaby is a low, pleasant rumble — and little pockets in the tire treads    │\n",
-       "│ were just the right size for ant hammocks.                                   │\n",
-       "│                                                                              │\n",
-       "│ Archie tucked himself into a tiny sock of rubber and pulled a crumb blanket  │\n",
-       "│ up to his chin. Professor Antennae adjusted his earring-glasses and nodded:  │\n",
-       "│ \"Another good night. The world is fixed, and so is our friend. Let us        │\n",
-       "│ sleep.\"                                                                      │\n",
-       "│                                                                              │\n",
-       "│ Carmen watched the ants snuggle like seeds in soil. She felt full — full of  │\n",
-       "│ friendship, full of moonlight, full of the soft satisfaction that comes      │\n",
-       "│ after helping someone.                                                       │\n",
-       "│                                                                              │\n",
-       "│ \"Goodnight, little mechanics,\" she whispered. The whisper sounded like a     │\n",
-       "│ soft engine purr that said, in every language, \"You are brave. You are       │\n",
-       "│ clever. You are bedtime-ready.\"                                              │\n",
-       "│                                                                              │\n",
-       "│ The stars leaned closer to listen. The streetlight pulled its hat lower. The │\n",
-       "│ crickets counted like tiny, cheery clocks. And all across the driveway, cars │\n",
-       "│ and ants alike let their lids fall: headlights dimming, antennae folding,    │\n",
-       "│ engines breathing slow.                                                      │\n",
-       "│                                                                              │\n",
-       "│ If you listen tonight as you tuck your pillow under your chin, you might     │\n",
-       "│ hear the faintest echo of the Fixing Song drifting on the breeze — a tiny,   │\n",
-       "│ twinkly tune about crumbs, paperclips, and very large hearts in small        │\n",
-       "│ bodies. It says, simply: help each other, take slow rides when you can, and  │\n",
-       "│ never be ashamed if you need a breadcrumb bandage now and then.              │\n",
-       "│                                                                              │\n",
-       "│ Now close your eyes. Imagine the cars purring like distant thunder made of   │\n",
-       "│ cotton, and the ants dreaming big, inch-high dreams of giant peanut          │\n",
-       "│ mountains. Tomorrow there will be more adventures. But for now — goodnight,  │\n",
-       "│ little drivers and dreamers. Sleep tight; don't let the potholes bite.       │\n",
-       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
╭──────────────────────── AGENT [10/01/2025 23:54:12] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: openai_web_search                                           │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"input\": \"recent AI news September 2025 October 1 2025 OpenAI Google      │\n",
+       "│  DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major        │\n",
+       "│  announcements\",                                                             │\n",
+       "│    \"model\": \"gpt-5\",                                                         │\n",
+       "│    \"reasoning_effort\": \"medium\",                                             │\n",
+       "│    \"type\": \"web_search_preview_2025_03_11\",                                  │\n",
+       "│    \"search_context_size\": \"high\"                                             │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [10/01/2025 22:45:14] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Once upon a driveway, when the streetlights wore their sleepy hats and the   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m moon hummed a lullaby, the cars woke up.                                     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Not because the cars were naughty or because anyone pressed their horns —    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m cars wake up at night to do a very important thing: they practice their      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m bedtime yawns. They stretch their headlights like sleepy eyes, they rattle a \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m little in their mufflers, and they try very hard not to backfire a giggle.   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Down in a tiny crack between the curb and a dandelion lived an ant village   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m so small it could fit inside a teaspoon. The ants were excellent listeners.  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m They could hear the soft tick-tick of the radiator, the gentle thump of a    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m wheel settling, and, best of all, the puffing lullaby of the idling engine.  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Their leader was Archie Ant — an ant with a helmet too big and a pocket full \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m of breadcrumbs and curiosity.                                                \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m One night, Archie heard a new sound: a hiccup in the biggest car on the      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m street. It was Carmen Convertible, whose paint was the color of sunbeams and \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m who snored like a breeze through a paper bag when she had the windows down.  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Tonight Carmen coughed a tiny clunk and sighed a worried sputter.            \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"We must help!\" declared Archie, because ants always help. He gathered his   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m crew: Tilly (the tiny tinker), Two-Two (the fastest pair of antennae on the  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m block), and Professor Antennae, who wore glasses made from a lost earring.   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The cars, being polite, rolled their windows down an inch and asked in their \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m engine voices, \"What are you up to, little neighbors?\"                       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Archie hopped onto Carmen's bumper and shouted back, \"Carmen, your tickle    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m pump is leaking giggles!\"                                                    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"What?\" Carmen coughed, which sounded like a bubble popping in a bowl. \"I am \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m leaking giggles?\"                                                            \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Not real giggles,\" said Professor Antennae gravely. \"Your fuel spark has    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m misplaced its sparkly. We can mend it with a breadcrumb bandage, a paperclip \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m spring, and a leaf-lint patch.\"                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The cars had never heard of a breadcrumb bandage before. Sammy Sedan tried   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m not to sneeze. Gertie the Garbage Truck rolled her headlights like giant,    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m skeptical eyes. But Carmen's cough sounded like an old song in need of a     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m chorus, so she agreed to the plan.                                           \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The ants got to work. Tilly fashioned a teeny wrench from a fallen thistle,  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Two-Two ran for a paperclip (ant speed: very fast), and Archie recruited a   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m whole brigade to carry a crumb the size of a peanut. They marched in a proud \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m line up Carmen's door handle, across her hood (they waved at Sammy down      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m below), and into her grille like explorers entering a cave.                  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Inside, the engine world was marvelous: sparkly wires like spaghetti, warm   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m socks of rubber, and a tiny blinking light that blinked like a stargazing    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m eye. The spark had indeed slipped down behind the fuel fairy — a shy little  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m spark that loved to hide in funny places.                                    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Now, remember your training,\" whispered Professor Antennae. \"Sing the       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Fixing Song. It goes: nibble-nibble, twist-a-twist, tuck-in-tuck, do not     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m miss.\"                                                                       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m So they sang. Ant voices are small but very important; they have the power   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m to turn a rattly clunk into a purr. While they hummed, Tilly wound the       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m paperclip spring, Archie pressed the breadcrumb bandage over the leak (ant   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m adhesive: 100% love), and Two-Two tickled the shy spark until it giggled out \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m from under a bolt and popped right back where it belonged.                   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Carmen sighed. This sigh was not the worried one from before — it was a      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m contented sigh, like a cat finding the sunbeam it lost. The headlights       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m blinked in gratitude, and every car on the block blinked back. Even the      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m streetlamp crackled a polite applause.                                       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"You ants are brilliant!\" Carmen purred, and her engine made the softest     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m song anyone could imagine, like someone turning the pages of a book very     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m slowly.                                                                      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"To thank you,\" said Carmen, \"I will give you a Midnight Cruise.\"            \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Ants had heard of cruises but only for crumbs. A car cruise sounded          \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m extravagant. They were given tiny seatbelts woven from silk thread, and      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Archie took the wheel (figuratively — his antennae brushed the steering      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m wheel like a conductor).                                                     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Carmen drove very slowly — slow enough that the ants could see the dew like  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m diamonds on the grass and the cat next door dreaming of moon-cheese in his   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m sleep. They rode past the lampposts that nodded like dozing giants, through  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m puddles that winked like silver coins, and along the sidewalk where shadows  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m hopped like little sheep.                                                    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The funniest part was when Carmen tried to whisper. Cars whisper by parking  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m so quietly that even the crickets keep their chirps hush-hush. But Carmen    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m had goosebumps of joy and she honked a tiny, embarrassed honk — Boop! The    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m ants fell into a polite tumble of laughter and used it to practice their     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m ticklish somersaults.                                                        \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m At the end of the cruise, Carmen eased back into her spot. The ants carried  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m their paperclip trophy home through a parade of tire treads, each groove a   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m grand avenue in their small maps. Sammy Sedan hummed a lullaby — an engine   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m lullaby is a low, pleasant rumble — and little pockets in the tire treads    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m were just the right size for ant hammocks.                                   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Archie tucked himself into a tiny sock of rubber and pulled a crumb blanket  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m up to his chin. Professor Antennae adjusted his earring-glasses and nodded:  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Another good night. The world is fixed, and so is our friend. Let us        \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m sleep.\"                                                                      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Carmen watched the ants snuggle like seeds in soil. She felt full — full of  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m friendship, full of moonlight, full of the soft satisfaction that comes      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m after helping someone.                                                       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \"Goodnight, little mechanics,\" she whispered. The whisper sounded like a     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m soft engine purr that said, in every language, \"You are brave. You are       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m clever. You are bedtime-ready.\"                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m The stars leaned closer to listen. The streetlight pulled its hat lower. The \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m crickets counted like tiny, cheery clocks. And all across the driveway, cars \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m and ants alike let their lids fall: headlights dimming, antennae folding,    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m engines breathing slow.                                                      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m If you listen tonight as you tuck your pillow under your chin, you might     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m hear the faintest echo of the Fixing Song drifting on the breeze — a tiny,   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m twinkly tune about crumbs, paperclips, and very large hearts in small        \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m bodies. It says, simply: help each other, take slow rides when you can, and  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m never be ashamed if you need a breadcrumb bandage now and then.              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Now close your eyes. Imagine the cars purring like distant thunder made of   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m cotton, and the ants dreaming big, inch-high dreams of giant peanut          \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m mountains. Tomorrow there will be more adventures. But for now — goodnight,  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m little drivers and dreamers. Sleep tight; don't let the potholes bite.       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [10/01/2025 23:54:12] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
+       "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: openai_web_search\u001b[0m                                           \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[1mArguments:\u001b[0m                                                                   \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"input\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"recent AI news September 2025 October 1 2025 OpenAI Google \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mDeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mannouncements\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"model\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"gpt-5\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                       \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"reasoning_effort\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"medium\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"web_search_preview_2025_03_11\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"search_context_size\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"high\"\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Streaming timed out after 60 seconds - returning collected messages\n"
-     ]
     }
    ],
    "source": [
@@ -558,7 +240,7 @@
     "    only_after_timestamp=event.created_at, \n",
     "    print_messages=True,\n",
     "    rich_print=True,\n",
-    "    timeout=60,\n",
+    "    timeout=600,\n",
     ")"
    ]
   }
diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log
new file mode 100644
index 00000000..f5e79e3b
--- /dev/null
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log
@@ -0,0 +1,2342 @@
+{"timestamp": "2025-10-01T16:41:08.196473", "event_type": "agent_updated_stream_event", "event_data": "AgentUpdatedStreamEvent(new_agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), type='agent_updated_stream_event')"}
+{"timestamp": "2025-10-01T16:41:08.733672", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCreatedEvent(response=Response(id='resp_08204b3efd7ba0a60068ddbc14897481979ae95a938b1ffb34', created_at=1759362068.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=0, type='response.created'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:41:08.737089", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseInProgressEvent(response=Response(id='resp_08204b3efd7ba0a60068ddbc14897481979ae95a938b1ffb34', created_at=1759362068.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=1, type='response.in_progress'), type='raw_response_event')"}
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+{"timestamp": "2025-10-01T16:41:32.903831", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseTextDeltaEvent(content_index=0, delta='.', item_id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', logprobs=[], output_index=1, sequence_number=1194, type='response.output_text.delta', obfuscation='KAJK3ihXNhWhRxM'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:41:33.024106", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseTextDoneEvent(content_index=0, item_id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', logprobs=[], output_index=1, sequence_number=1195, text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='response.output_text.done'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:41:33.025745", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseContentPartDoneEvent(content_index=0, item_id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', output_index=1, part=ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[]), sequence_number=1196, type='response.content_part.done'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:41:33.036432", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseOutputItemDoneEvent(item=ResponseOutputMessage(id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', content=[ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), output_index=1, sequence_number=1197, type='response.output_item.done'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:41:33.036662", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCompletedEvent(response=Response(id='resp_08204b3efd7ba0a60068ddbc14897481979ae95a938b1ffb34', created_at=1759362068.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[ResponseReasoningItem(id='rs_08204b3efd7ba0a60068ddbc157cb88197b02901891db17350', summary=[Summary(text='**Crafting a bedtime story**\\n\\nThe user wants a soothing bedtime story featuring a cat and a dog. I think it should be about 600-800 words but shorter could be fine. I want to keep the tone gentle, using simple language, and ensuring it\u2019s suitable for bedtime.\\n\\nI\\'ll include their personalities and a conflict that gets resolved. A lullaby line could enhance it, too. I\u2019ll create it in the third person, perhaps naming them \"Luna\" (cat) and \"Finn\" (dog). They\\'ll explore a garden, find a lost star, help each other, and snuggle before sleeping under the moonlight.', type='summary_text'), Summary(text=\"**Establishing soothing story elements**\\n\\nI definitely want to maintain a soothing cadence in the story. It's vital to avoid any scary elements to ensure it stays calming for bedtime. I think aiming for about 450-600 words is reasonable for keeping the story self-contained yet engaging. This way, I can include all the comforting details and gentle imagery to create a nice atmosphere for relaxation.  Let's keep it light and easy to follow!\", type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), ResponseOutputMessage(id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', content=[ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=ResponseUsage(input_tokens=4947, input_tokens_details=InputTokensDetails(cached_tokens=0), output_tokens=1172, output_tokens_details=OutputTokensDetails(reasoning_tokens=192), total_tokens=6119), user=None, store=True), sequence_number=1198, type='response.completed'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:41:33.186208", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='reasoning_item_created', item=ReasoningItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseReasoningItem(id='rs_08204b3efd7ba0a60068ddbc157cb88197b02901891db17350', summary=[Summary(text='**Crafting a bedtime story**\\n\\nThe user wants a soothing bedtime story featuring a cat and a dog. I think it should be about 600-800 words but shorter could be fine. I want to keep the tone gentle, using simple language, and ensuring it\u2019s suitable for bedtime.\\n\\nI\\'ll include their personalities and a conflict that gets resolved. A lullaby line could enhance it, too. I\u2019ll create it in the third person, perhaps naming them \"Luna\" (cat) and \"Finn\" (dog). They\\'ll explore a garden, find a lost star, help each other, and snuggle before sleeping under the moonlight.', type='summary_text'), Summary(text=\"**Establishing soothing story elements**\\n\\nI definitely want to maintain a soothing cadence in the story. It's vital to avoid any scary elements to ensure it stays calming for bedtime. I think aiming for about 450-600 words is reasonable for keeping the story self-contained yet engaging. This way, I can include all the comforting details and gentle imagery to create a nice atmosphere for relaxation.  Let's keep it light and easy to follow!\", type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), type='reasoning_item'), type='run_item_stream_event')"}
+{"timestamp": "2025-10-01T16:41:33.186482", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='message_output_created', item=MessageOutputItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseOutputMessage(id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', content=[ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), type='message_output_item'), type='run_item_stream_event')"}
+{"timestamp": "2025-10-01T16:42:34.874474", "event_type": "agent_updated_stream_event", "event_data": "AgentUpdatedStreamEvent(new_agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), type='agent_updated_stream_event')"}
+{"timestamp": "2025-10-01T16:42:35.191486", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCreatedEvent(response=Response(id='resp_0b47287176b6a16c0068ddbc6b2ae0819dbb26e4dd78e582ec', created_at=1759362155.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=0, type='response.created'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:42:35.199654", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseInProgressEvent(response=Response(id='resp_0b47287176b6a16c0068ddbc6b2ae0819dbb26e4dd78e582ec', created_at=1759362155.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=1, type='response.in_progress'), type='raw_response_event')"}
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Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='response.output_text.done'), type='raw_response_event')"}
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She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[]), sequence_number=1134, type='response.content_part.done'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:42:58.448950", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseOutputItemDoneEvent(item=ResponseOutputMessage(id='msg_0b47287176b6a16c0068ddbc710298819d800eb2a73671dc2f', content=[ResponseOutputText(annotations=[], text='Luna the silver-tabby cat and Finn the golden-brown pup lived in a little house at the end of a quiet lane. Every evening, when the sky turned the color of warm tea and the first stars blinked awake, they had the same little ritual: Luna would sit on the windowsill watching the moon trim the rooftops in silver, and Finn would curl up by the fire, ears twitching at the night sounds.\\n\\nOne night, the moon hung low and round as a lantern. Luna padded silently to the door and nudged it open with her whiskers. Finn lifted his head, wagged once, and rose, his paws soft on the wooden floor. \u201cShall we see who will count the first star?\u201d Luna asked, her voice as smooth as a purr. Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), output_index=1, sequence_number=1135, type='response.output_item.done'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:42:58.449328", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCompletedEvent(response=Response(id='resp_0b47287176b6a16c0068ddbc6b2ae0819dbb26e4dd78e582ec', created_at=1759362155.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[ResponseReasoningItem(id='rs_0b47287176b6a16c0068ddbc6baeb8819db4d4579d4fbc8a38', summary=[Summary(text='**Creating a bedtime story**\\n\\nThe user wants a calming bedtime story about a cat and a dog, with no constraints. I\u2019ll aim for around 600-800 words, focusing on gentle and soothing language. Including characters like Luna the cat and Finn the dog, they\\'ll have a cozy nighttime adventure finding stars and the moon. My goal is to use short paragraphs, sensory details, and lullaby-like lines. I\u2019ll conclude with a comforting \"goodnight\" and \"sleep tight.\" This will be child-friendly and enjoyable for reading aloud.', type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), ResponseOutputMessage(id='msg_0b47287176b6a16c0068ddbc710298819d800eb2a73671dc2f', content=[ResponseOutputText(annotations=[], text='Luna the silver-tabby cat and Finn the golden-brown pup lived in a little house at the end of a quiet lane. Every evening, when the sky turned the color of warm tea and the first stars blinked awake, they had the same little ritual: Luna would sit on the windowsill watching the moon trim the rooftops in silver, and Finn would curl up by the fire, ears twitching at the night sounds.\\n\\nOne night, the moon hung low and round as a lantern. Luna padded silently to the door and nudged it open with her whiskers. Finn lifted his head, wagged once, and rose, his paws soft on the wooden floor. \u201cShall we see who will count the first star?\u201d Luna asked, her voice as smooth as a purr. Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=ResponseUsage(input_tokens=4947, input_tokens_details=InputTokensDetails(cached_tokens=0), output_tokens=1153, output_tokens_details=OutputTokensDetails(reasoning_tokens=128), total_tokens=6100), user=None, store=True), sequence_number=1136, type='response.completed'), type='raw_response_event')"}
+{"timestamp": "2025-10-01T16:42:58.533735", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='reasoning_item_created', item=ReasoningItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseReasoningItem(id='rs_0b47287176b6a16c0068ddbc6baeb8819db4d4579d4fbc8a38', summary=[Summary(text='**Creating a bedtime story**\\n\\nThe user wants a calming bedtime story about a cat and a dog, with no constraints. I\u2019ll aim for around 600-800 words, focusing on gentle and soothing language. Including characters like Luna the cat and Finn the dog, they\\'ll have a cozy nighttime adventure finding stars and the moon. My goal is to use short paragraphs, sensory details, and lullaby-like lines. I\u2019ll conclude with a comforting \"goodnight\" and \"sleep tight.\" This will be child-friendly and enjoyable for reading aloud.', type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), type='reasoning_item'), type='run_item_stream_event')"}
+{"timestamp": "2025-10-01T16:42:58.533923", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='message_output_created', item=MessageOutputItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseOutputMessage(id='msg_0b47287176b6a16c0068ddbc710298819d800eb2a73671dc2f', content=[ResponseOutputText(annotations=[], text='Luna the silver-tabby cat and Finn the golden-brown pup lived in a little house at the end of a quiet lane. Every evening, when the sky turned the color of warm tea and the first stars blinked awake, they had the same little ritual: Luna would sit on the windowsill watching the moon trim the rooftops in silver, and Finn would curl up by the fire, ears twitching at the night sounds.\\n\\nOne night, the moon hung low and round as a lantern. Luna padded silently to the door and nudged it open with her whiskers. Finn lifted his head, wagged once, and rose, his paws soft on the wooden floor. \u201cShall we see who will count the first star?\u201d Luna asked, her voice as smooth as a purr. Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), type='message_output_item'), type='run_item_stream_event')"}
diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index 6275dcbf..bf5abc2c 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -20,7 +20,7 @@
     ResponseTextDeltaEvent,
     ResponseReasoningSummaryPartAddedEvent,
     ResponseReasoningSummaryTextDeltaEvent,
-    ResponseContentPartDoneEvent,
+    ResponseReasoningSummaryPartDoneEvent,
     
 )
 from pydantic import BaseModel
@@ -729,10 +729,13 @@ async def run_agent_streamed_auto_send(
 
                 item_id_to_streaming_context: dict[str, StreamingTaskMessageContext] = {}
                 unclosed_item_ids: set[str] = set()
+                # Simple string to accumulate reasoning summary
+                current_reasoning_summary: str = ""
 
                 try:
                     # Process streaming events with TaskMessage creation
                     async for event in result.stream_events():
+                        
                         heartbeat_if_in_workflow("processing stream event with auto send")
                         if event.type == "run_item_stream_event":
                             # Tool calls are now handled via raw response events
@@ -826,8 +829,13 @@ async def run_agent_streamed_auto_send(
                                 )
                             # Reasoning step one: new summary part added
                             elif isinstance(event.data, ResponseReasoningSummaryPartAddedEvent):
+                                logger.info(f"DEBUG: ResponseReasoningSummaryPartAddedEvent: {event.data}")
                                 # We need to create a new streaming context for this reasoning item
                                 item_id = event.data.item_id
+                                
+                                # Reset the reasoning summary string
+                                current_reasoning_summary = ""
+                                
                                 streaming_context = self.streaming_service.streaming_task_message_context(
                                     task_id=task_id,
                                     initial_content=ReasoningContent(
@@ -846,16 +854,16 @@ async def run_agent_streamed_auto_send(
                             
                             # Reasoning step two: handling summary text delta
                             elif isinstance(event.data, ResponseReasoningSummaryTextDeltaEvent):
-                                item_id = event.data.item_id
-                                summary_index = event.data.summary_index
-
+                                # Accumulate the delta into the string
+                                current_reasoning_summary += event.data.delta
                                 streaming_context = item_id_to_streaming_context[item_id]
+
                                 # Stream the summary delta through the streaming service
                                 await streaming_context.stream_update(
                                     update=StreamTaskMessageDelta(
                                         parent_task_message=streaming_context.task_message,
                                         delta=ReasoningSummaryDelta(
-                                            summary_index=summary_index,
+                                            summary_index=event.data.summary_index,
                                             summary_delta=event.data.delta,
                                             type="reasoning_summary",
                                         ),
@@ -864,15 +872,34 @@ async def run_agent_streamed_auto_send(
                                 )
 
                             # Reasoning step three: handling summary text done, closing the streaming context
-                            elif isinstance(event.data, ResponseContentPartDoneEvent):
+                            elif isinstance(event.data, ResponseReasoningSummaryPartDoneEvent):
+                                logger.info(f"DEBUG: ResponseReasoningSummaryPartDoneEvent: {event.data}")
                                 # Handle reasoning summary text completion
-                                item_id = event.data.item_id
-                                summary_index = event.data.summary_index
-
                                 streaming_context = item_id_to_streaming_context[item_id]
-                                logger.info(f"Closing streaming context for item_id: {item_id}")
+                                
+                                # Create the complete reasoning content with the accumulated summary
+                                complete_reasoning_content = ReasoningContent(
+                                    author="agent",
+                                    summary=[current_reasoning_summary],
+                                    content=[],
+                                    type="reasoning",
+                                    style="static",
+                                )
+                                
+                                # Send a full message update with the complete reasoning content
+                                await streaming_context.stream_update(
+                                    update=StreamTaskMessageFull(
+                                        parent_task_message=streaming_context.task_message,
+                                        content=complete_reasoning_content,
+                                        type="full",
+                                    ),
+                                )
+
+                                logger.info(f"DEBUG: Sent full message update with complete reasoning content: {complete_reasoning_content}")
+                                
                                 await streaming_context.close()
-                                unclosed_item_ids.remove(item_id)
+                                unclosed_item_ids.discard(item_id)
+                                
 
                             elif isinstance(event.data, ResponseOutputItemDoneEvent):
                                 # Handle item completion
diff --git a/src/agentex/lib/utils/dev_tools/async_messages.py b/src/agentex/lib/utils/dev_tools/async_messages.py
index 068cb8b7..54cc1929 100644
--- a/src/agentex/lib/utils/dev_tools/async_messages.py
+++ b/src/agentex/lib/utils/dev_tools/async_messages.py
@@ -323,6 +323,7 @@ def subscribe_to_async_task_messages(
             
             try:
                 for task_message_update_str in response.iter_text():
+                    # Save raw streaming data to file for debugging
                     try:
                         # Parse SSE format 
                         if task_message_update_str.strip().startswith('data: '):
@@ -334,6 +335,7 @@ def subscribe_to_async_task_messages(
 
                             # Handle different message types for streaming progress
                             if message_type == "start":
+                                print("Start message received" + task_message_update_str)
                                 task_message_update = StreamTaskMessageStart.model_validate(task_message_update_data)
                                 index = task_message_update.index or 0
                                 
@@ -354,6 +356,7 @@ def subscribe_to_async_task_messages(
                                     active_spinners[index] = spinner
                                 
                             elif message_type == "full":
+                                print("Full message received" + task_message_update_str)
                                 task_message_update = StreamTaskMessageFull.model_validate(task_message_update_data)
                                 index = task_message_update.index or 0
                                 
@@ -365,18 +368,13 @@ def subscribe_to_async_task_messages(
                                     if print_messages:
                                         print()
                                 
-                                # Use the content directly from the stream event, not from re-fetching
-                                # The stream has the full content, but re-fetching sometimes returns empty arrays
-                                if task_message_update.parent_task_message:
-                                    # Create a temporary message object with the stream content for display
-                                    display_message = task_message_update.parent_task_message
-                                    # Override the content with the stream's full content
-                                    display_message.content = task_message_update.content
-                                    
-                                    messages_to_return.append(display_message)
-                                    print_task_message(display_message, print_messages, rich_print)
+                                if task_message_update.parent_task_message and task_message_update.parent_task_message.id:
+                                    finished_message = client.messages.retrieve(task_message_update.parent_task_message.id)
+                                    messages_to_return.append(finished_message)
+                                    print_task_message(finished_message, print_messages, rich_print)
                                 
                             elif message_type == "done":
+                                print("Done message received" + task_message_update_str)
                                 task_message_update = StreamTaskMessageDone.model_validate(task_message_update_data)
                                 index = task_message_update.index or 0
                                 

From 25ef480a20422122043fe5aad33a363c81b83b87 Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 17:01:06 -0700
Subject: [PATCH 06/12] Bug fix complete!

---
 .../10_temporal/010_agent_chat/dev.ipynb      | 413 +++++++++++++++---
 .../lib/core/services/adk/providers/openai.py |   4 -
 .../lib/utils/dev_tools/async_messages.py     |   4 -
 3 files changed, 354 insertions(+), 67 deletions(-)

diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
index 6dd7bf8b..0768b5f2 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
@@ -32,7 +32,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Task(id='275dedaa-5f65-44be-bba4-299cf0ea9d4c', created_at=datetime.datetime(2025, 10, 1, 23, 54, 5, 688746, tzinfo=TzInfo(UTC)), name='9822ec1e-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 23, 54, 5, 688746, tzinfo=TzInfo(UTC)))\n"
+      "Task(id='197f2eea-1dae-4107-8f7e-890989d8fa9c', created_at=datetime.datetime(2025, 10, 1, 23, 59, 53, 130494, tzinfo=TzInfo(UTC)), name='a6efd0ee-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 23, 59, 53, 130494, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -54,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "id": "3",
    "metadata": {},
    "outputs": [
@@ -62,7 +62,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Event(id='4e21f97b-76b9-497e-ab6e-13cd9703195c', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=128, task_id='275dedaa-5f65-44be-bba4-299cf0ea9d4c', content=TextContent(author='user', content='Tell me about recent AI news', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 23, 54, 5, 735408, tzinfo=TzInfo(UTC)))\n"
+      "Event(id='edbed4c7-2e74-4db3-a92d-225af5f566fe', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=130, task_id='197f2eea-1dae-4107-8f7e-890989d8fa9c', content=TextContent(author='user', content='Tell me about recent AI news for today only.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 23, 59, 53, 175465, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -95,26 +95,17 @@
    "id": "4",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Full message receiveddata: {\"type\":\"full\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf1d54b21893aff2d7b4\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"text\",\"author\":\"user\",\"style\":\"static\",\"format\":\"plain\",\"content\":\"Tell me about recent AI news\",\"attachments\":null},\"streaming_status\":null,\"created_at\":\"2025-10-01T23:54:05.800260Z\",\"updated_at\":\"2025-10-01T23:54:05.800260Z\"},\"content\":{\"type\":\"text\",\"author\":\"user\",\"style\":\"static\",\"format\":\"plain\",\"content\":\"Tell me about recent AI news\",\"attachments\":null}}\n",
-      "\n",
-      "\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
-       "
╭───────────────────────── USER [10/01/2025 23:54:05] ─────────────────────────╮\n",
-       "│ Tell me about recent AI news                                                 │\n",
+       "
╭───────────────────────── USER [10/01/2025 23:59:53] ─────────────────────────╮\n",
+       "│ Tell me about recent AI news for today only.                                 │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 23:54:05] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
-       "\u001b[96m│\u001b[0m Tell me about recent AI news                                                 \u001b[96m│\u001b[0m\n",
+       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 23:59:53] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
+       "\u001b[96m│\u001b[0m Tell me about recent AI news for today only.                                 \u001b[96m│\u001b[0m\n",
        "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -125,46 +116,38 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Start message receiveddata: {\"type\":\"start\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2354b21893aff2d7b5\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"active\",\"summary\":[],\"content\":[]},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:11.197784Z\",\"updated_at\":\"2025-10-01T23:54:11.197784Z\"},\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"active\",\"summary\":[],\"content\":[]}}\n",
-      "\n",
-      "\n",
-      "⠙ 🔄 Agent responding...Full message receiveddata: {\"type\":\"full\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2354b21893aff2d7b5\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"active\",\"summary\":[],\"content\":[]},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:11.197784Z\",\"updated_at\":\"2025-10-01T23:54:11.197784Z\"},\"content\":{\"type\":\"reasoning\",\"author\":\"agent\",\"style\":\"static\",\"summary\":[\"**Searching for recent AI news**\\n\\nThe user is asking for recent news about AI. Since my last knowledge cut-off was June 2024, I need to use the web search tool to find current stories. I’ll query for news from September 2025 and summarize key topics, like major releases from companies such as OpenAI and Google, regulations, new models, NVIDIA updates, and AI safety advancements. It makes sense to search for “AI news September 2025” as we're now on October 1, 2025. Let's proceed with the search!\"],\"content\":[]}}\n",
-      "\n",
-      "\n",
       "                        \n"
      ]
     },
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/01/2025 23:54:11] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:00:01] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
        "│ Searching for recent AI news                                                 │\n",
        "│                                                                              │\n",
-       "│ The user is asking for recent news about AI. Since my last knowledge cut-off │\n",
-       "│ was June 2024, I need to use the web search tool to find current stories.    │\n",
-       "│ I’ll query for news from September 2025 and summarize key topics, like major │\n",
-       "│ releases from companies such as OpenAI and Google, regulations, new models,  │\n",
-       "│ NVIDIA updates, and AI safety advancements. It makes sense to search for “AI │\n",
-       "│ news September 2025” as we're now on October 1, 2025. Let's proceed with the │\n",
-       "│ search!                                                                      │\n",
+       "│ The user is asking for recent news about AI today, specifically for October  │\n",
+       "│ 1, 2025. I need to use the web search tool to fetch this information. My     │\n",
+       "│ search query will be \"AI news October 1 2025.\" I’ll ensure to use the        │\n",
+       "│ correct model settings and specify the context for the search. Once I gather │\n",
+       "│ the results, I will provide a concise summary along with sources and links   │\n",
+       "│ for the user.                                                                │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/01/2025 23:54:11] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:00:01] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m \u001b[1mSearching for recent AI news\u001b[0m                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user is asking for recent news about AI. Since my last knowledge cut-off \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m was June 2024, I need to use the web search tool to find current stories.    \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I’ll query for news from September 2025 and summarize key topics, like major \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m releases from companies such as OpenAI and Google, regulations, new models,  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m NVIDIA updates, and AI safety advancements. It makes sense to search for “AI \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m news September 2025” as we're now on October 1, 2025. Let's proceed with the \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m search!                                                                      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user is asking for recent news about AI today, specifically for October  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 1, 2025. I need to use the web search tool to fetch this information. My     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m search query will be \"AI news October 1 2025.\" I’ll ensure to use the        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m correct model settings and specify the context for the search. Once I gather \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the results, I will provide a concise summary along with sources and links   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m for the user.                                                                \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -175,52 +158,42 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Start message receiveddata: {\"type\":\"start\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2454b21893aff2d7b6\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:12.601365Z\",\"updated_at\":\"2025-10-01T23:54:12.601365Z\"},\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}}}\n",
-      "\n",
-      "\n",
-      "⠋ 🔄 Agent responding...Full message receiveddata: {\"type\":\"full\",\"index\":null,\"parent_task_message\":{\"id\":\"68ddbf2454b21893aff2d7b6\",\"task_id\":\"275dedaa-5f65-44be-bba4-299cf0ea9d4c\",\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}},\"streaming_status\":\"IN_PROGRESS\",\"created_at\":\"2025-10-01T23:54:12.601365Z\",\"updated_at\":\"2025-10-01T23:54:12.601365Z\"},\"content\":{\"type\":\"tool_request\",\"author\":\"agent\",\"style\":\"static\",\"tool_call_id\":\"call_ZFjEMgHAjVg4c7Xj9UQ2lJ6O\",\"name\":\"openai_web_search\",\"arguments\":{\"input\":\"recent AI news September 2025 October 1 2025 OpenAI Google DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major announcements\",\"model\":\"gpt-5\",\"reasoning_effort\":\"medium\",\"type\":\"web_search_preview_2025_03_11\",\"search_context_size\":\"high\"}}}\n",
-      "\n",
-      "\n",
       "                        \n"
      ]
     },
     {
      "data": {
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-       "
╭──────────────────────── AGENT [10/01/2025 23:54:12] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:00:03] ─────────────────────────╮\n",
        "│ 🔧 Tool Request: openai_web_search                                           │\n",
        "│                                                                              │\n",
        "│ Arguments:                                                                   │\n",
        "│                                                                              │\n",
        "│                                                                              │\n",
        "│  {                                                                           │\n",
-       "│    \"input\": \"recent AI news September 2025 October 1 2025 OpenAI Google      │\n",
-       "│  DeepMind Anthropic Microsoft NVIDIA EU AI Act US AI regulation major        │\n",
-       "│  announcements\",                                                             │\n",
-       "│    \"model\": \"gpt-5\",                                                         │\n",
-       "│    \"reasoning_effort\": \"medium\",                                             │\n",
+       "│    \"input\": \"AI news October 1 2025\",                                        │\n",
+       "│    \"model\": \"gpt-5-mini\",                                                    │\n",
+       "│    \"reasoning_effort\": \"low\",                                                │\n",
        "│    \"type\": \"web_search_preview_2025_03_11\",                                  │\n",
-       "│    \"search_context_size\": \"high\"                                             │\n",
+       "│    \"search_context_size\": \"medium\"                                           │\n",
        "│  }                                                                           │\n",
        "│                                                                              │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
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       "text/plain": [
-       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [10/01/2025 23:54:12] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
+       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [10/02/2025 00:00:03] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
        "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: openai_web_search\u001b[0m                                           \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m \u001b[1mArguments:\u001b[0m                                                                   \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
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-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"input\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"recent AI news September 2025 October 1 2025 OpenAI Google \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
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-       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"reasoning_effort\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"medium\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"input\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"AI news October 1 2025\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"model\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"gpt-5-mini\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"reasoning_effort\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"low\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
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+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"search_context_size\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"medium\"\u001b[0m\u001b[48;2;39;40;34m                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
        "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
@@ -228,6 +201,328 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:00:29] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: openai_web_search                                          │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Here are the main AI-related headlines from October 1, 2025      │\n",
+       "│  (brief summary + sources). Want more depth on any of these? Tell me which   │\n",
+       "│  one.\\n\\n- Microsoft launches Microsoft 365 Premium (with Copilot integrate  │\n",
+       "│  for individuals) \\u2014 Microsoft announced a $19.99/month individual plan  │\n",
+       "│  that bundles Copilot across Office apps, adds higher Copilot usage limits   │\n",
+       "│  and exclusive AI features (Researcher, Analyst, Actions), 1 TB cloud        │\n",
+       "│  storage, and Defender advanced security; Microsoft will retire Copilot Pro  │\n",
+       "│  and encourage migration to the new Premium plan.                            │\n",
+       "│  ([reuters.com](https://www.reuters.com/technology/microsoft-launches-ai-po  │\n",
+       "│  red-365-premium-bundle-1999-per-month-2025-10-01/?utm_source=openai))\\n\\n-  │\n",
+       "│  Google rolls out \\u201cGemini for Home\\u201d (major upgrade to Google       │\n",
+       "│  Assistant / Nest) \\u2014 Gemini replaces Google Assistant on Google and Ne  │\n",
+       "│  smart speakers (back to original Google Home), adds more                    │\n",
+       "│  conversational/context-aware voice capabilities, new voices, support for    │\n",
+       "│  multiple household profiles, and a premium \\u201cGemini Live\\u201d          │\n",
+       "│  experience tied to a Google Home Premium subscription. Early Access began   │\n",
+       "│  October 1, with wider rollout planned later.                                │\n",
+       "│  ([theverge.com](https://www.theverge.com/tech/788102/gemini-for-home-new-g  │\n",
+       "│  gle-assistant-launch-date-price-features?utm_source=openai))\\n\\n- OpenAI    │\n",
+       "│  announces supply agreements/partnerships to support its \\u201cStargate\\u20  │\n",
+       "│  infrastructure \\u2014 reporting says OpenAI has deals with Samsung and SK   │\n",
+       "│  Hynix for memory chips and is planning expanded data-center capacity in     │\n",
+       "│  South Korea to support its large-scale model infrastructure.                │\n",
+       "│  ([theverge.com](https://www.theverge.com/news/789687/openai-samsung-starga  │\n",
+       "│  -chips?utm_source=openai))\\n\\n- U.S. federal government shutdown begins (O  │\n",
+       "│  1) \\u2014 the federal shutdown that started October 1, 2025, has furloughe  │\n",
+       "│  many federal employees and affected agency operations; several public-heal  │\n",
+       "│  and research agencies face partial or full suspensions, which could disrup  │\n",
+       "│  government-funded AI research, grant processing, and collaboration program  │\n",
+       "│  (context: shutdown took effect Oct 1).                                      │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_United_States_feder  │\n",
+       "│  _government_shutdown?utm_source=openai))\\n\\n- AI-generated / AI-directed    │\n",
+       "│  film teaser released \\u2014 an AI-directed feature (reported as the first   │\n",
+       "│  full-length AI-generated film) released its first teaser on October 1,      │\n",
+       "│  drawing attention to AI-created media and related debates over credits,     │\n",
+       "│  copyright, and \\u201cAI actors.\\u201d                                       │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/The_Sweet_Idleness?utm_s  │\n",
+       "│  rce=openai))\\n\\nNotes and next steps\\n- I focused on the biggest, widely    │\n",
+       "│  reported items from Oct 1. I can: (a) expand any story into more detail     │\n",
+       "│  (policy, technical, market impact), (b) fetch additional articles or        │\n",
+       "│  reactions (e.g., industry statements or analyst takes), or (c) do a tailor  │\n",
+       "│  roundup for developers, business leaders, or creators on how these items    │\n",
+       "│  affect them. Which would you like?\",                                        │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:00:29] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
+       "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: openai_web_search\u001b[0m                                          \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Here are the main AI-related headlines from October 1, 2025 \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(brief summary + sources). Want more depth on any of these? Tell me which \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mone.\\n\\n- Microsoft launches Microsoft 365 Premium (with Copilot integrate\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfor individuals) \\u2014 Microsoft announced a $19.99/month individual plan\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthat bundles Copilot across Office apps, adds higher Copilot usage limits \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand exclusive AI features (Researcher, Analyst, Actions), 1 TB cloud \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstorage, and Defender advanced security; Microsoft will retire Copilot Pro\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand encourage migration to the new Premium plan. \u001b[0m\u001b[48;2;39;40;34m                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/technology/microsoft-launches-ai-po\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mred-365-premium-bundle-1999-per-month-2025-10-01/?utm_source=openai))\\n\\n-\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mGoogle rolls out \\u201cGemini for Home\\u201d (major upgrade to Google \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAssistant / Nest) \\u2014 Gemini replaces Google Assistant on Google and Ne\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msmart speakers (back to original Google Home), adds more \u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mconversational/context-aware voice capabilities, new voices, support for \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmultiple household profiles, and a premium \\u201cGemini Live\\u201d \u001b[0m\u001b[48;2;39;40;34m       \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mexperience tied to a Google Home Premium subscription. Early Access began \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOctober 1, with wider rollout planned later. \u001b[0m\u001b[48;2;39;40;34m                             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([theverge.com](https://www.theverge.com/tech/788102/gemini-for-home-new-g\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgle-assistant-launch-date-price-features?utm_source=openai))\\n\\n- OpenAI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mannounces supply agreements/partnerships to support its \\u201cStargate\\u20\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minfrastructure \\u2014 reporting says OpenAI has deals with Samsung and SK \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mHynix for memory chips and is planning expanded data-center capacity in \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSouth Korea to support its large-scale model infrastructure. \u001b[0m\u001b[48;2;39;40;34m             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([theverge.com](https://www.theverge.com/news/789687/openai-samsung-starga\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-chips?utm_source=openai))\\n\\n- U.S. federal government shutdown begins (O\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m1) \\u2014 the federal shutdown that started October 1, 2025, has furloughe\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmany federal employees and affected agency operations; several public-heal\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand research agencies face partial or full suspensions, which could disrup\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgovernment-funded AI research, grant processing, and collaboration program\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(context: shutdown took effect Oct 1). \u001b[0m\u001b[48;2;39;40;34m                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_United_States_feder\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m_government_shutdown?utm_source=openai))\\n\\n- AI-generated / AI-directed \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfilm teaser released \\u2014 an AI-directed feature (reported as the first \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfull-length AI-generated film) released its first teaser on October 1, \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdrawing attention to AI-created media and related debates over credits, \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcopyright, and \\u201cAI actors.\\u201d \u001b[0m\u001b[48;2;39;40;34m                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/The_Sweet_Idleness?utm_s\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrce=openai))\\n\\nNotes and next steps\\n- I focused on the biggest, widely \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreported items from Oct 1. I can: (a) expand any story into more detail \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(policy, technical, market impact), (b) fetch additional articles or \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreactions (e.g., industry statements or analyst takes), or (c) do a tailor\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mroundup for developers, business leaders, or creators on how these items \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34maffect them. Which would you like?\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:00:32] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Summarizing recent AI news                                                   │\n",
+       "│                                                                              │\n",
+       "│ The tool provided aggregated headlines for today, October 1, 2025. I’ll      │\n",
+       "│ present these as concise bullet points with short summaries and source       │\n",
+       "│ links, ensuring I avoid heavy formatting, as suggested. I’ll use terms like  │\n",
+       "│ \"reported\" to maintain accuracy and avoid definitive claims when uncertain.  │\n",
+       "│ I'll also highlight significant aspects, like the impact of shutdowns on AI  │\n",
+       "│ research and mention \"OpenAI supply agreements\" potentially from The Verge.  │\n",
+       "│ Keeping to today’s news only, I’ll create a clean presentation with the      │\n",
+       "│ bullet points.                                                               │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:00:32] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mSummarizing recent AI news\u001b[0m                                                   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The tool provided aggregated headlines for today, October 1, 2025. I’ll      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m present these as concise bullet points with short summaries and source       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m links, ensuring I avoid heavy formatting, as suggested. I’ll use terms like  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \"reported\" to maintain accuracy and avoid definitive claims when uncertain.  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I'll also highlight significant aspects, like the impact of shutdowns on AI  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m research and mention \"OpenAI supply agreements\" potentially from The Verge.  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Keeping to today’s news only, I’ll create a clean presentation with the      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m bullet points.                                                               \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:00:34] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Crafting final answer                                                        │\n",
+       "│                                                                              │\n",
+       "│ I should ask the user if they’d like more depth on the information provided. │\n",
+       "│ It's important to keep my final answer clear and concise while using bullet  │\n",
+       "│ points with links. I also want to ensure I include a friendly offer to       │\n",
+       "│ provide more detail if they need it. This way, I’m encouraging engagement    │\n",
+       "│ without overwhelming them. Keeping everything brief will make it easier for  │\n",
+       "│ the user to digest the information!                                          │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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+      ],
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+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCrafting final answer\u001b[0m                                                        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I should ask the user if they’d like more depth on the information provided. \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m It's important to keep my final answer clear and concise while using bullet  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m points with links. I also want to ensure I include a friendly offer to       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m provide more detail if they need it. This way, I’m encouraging engagement    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m without overwhelming them. Keeping everything brief will make it easier for  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the user to digest the information!                                          \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:00:36] ─────────────────────────╮\n",
+       "│ Here are the main AI stories reported today (Oct 1, 2025), with brief        │\n",
+       "│ summaries and sources — tell me which one you want expanded.                 │\n",
+       "│                                                                              │\n",
+       "│  • Microsoft launches Microsoft 365 Premium with Copilot for individuals —   │\n",
+       "│    New $19.99/month individual plan bundles Copilot across Office apps,      │\n",
+       "│    higher Copilot usage limits, additional AI features and 1 TB storage;     │\n",
+       "│    Microsoft is encouraging migration from Copilot Pro to this Premium tier. │\n",
+       "│    Source: Reuters (Oct 1, 2025).                                            │\n",
+       "│    Link:                                                                     │\n",
+       "│    https://www.reuters.com/technology/microsoft-launches-ai-powered-365-prem │\n",
+       "│    ium-bundle-1999-per-month-2025-10-01/                                     │\n",
+       "│  • Google rolls out “Gemini for Home” (major Google Assistant / Nest         │\n",
+       "│    upgrade) — Gemini replaces the Google Assistant on Google/Nest smart      │\n",
+       "│    devices with more conversational, context-aware voice capabilities, new   │\n",
+       "│    voices and household-profile support; Early Access begins Oct 1 with      │\n",
+       "│    broader rollout to follow. Source: The Verge (Oct 1, 2025).               │\n",
+       "│    Link:                                                                     │\n",
+       "│    https://www.theverge.com/tech/788102/gemini-for-home-new-google-assistant │\n",
+       "│    -launch-date-price-features                                               │\n",
+       "│  • OpenAI reported to sign supply/partnership deals to scale its             │\n",
+       "│    infrastructure (“Stargate” support) — Reports say OpenAI has agreements   │\n",
+       "│    (e.g., with Samsung, SK Hynix) for memory/chip supply and is expanding    │\n",
+       "│    datacenter capacity (including in South Korea) to support larger model    │\n",
+       "│    deployments. Source: The Verge (Oct 1, 2025).                             │\n",
+       "│    Link: https://www.theverge.com/news/789687/openai-samsung-stargate-chips  │\n",
+       "│  • U.S. federal government shutdown begins — The shutdown that took effect   │\n",
+       "│    today has furloughed many federal staff and disrupted agency operations;  │\n",
+       "│    observers warn it could delay or interrupt government-funded AI research, │\n",
+       "│    grants, and interagency collaborations. (Context and reporting Oct 1,     │\n",
+       "│    2025).                                                                    │\n",
+       "│    Context link:                                                             │\n",
+       "│    https://en.wikipedia.org/wiki/2025_United_States_federal_government_shutd │\n",
+       "│    own                                                                       │\n",
+       "│  • First teaser from an AI-generated / AI-directed feature released — A      │\n",
+       "│    high-profile AI-created film project released its first teaser today,     │\n",
+       "│    stoking debate over credits, copyright and “AI actors.” (Reported Oct 1,  │\n",
+       "│    2025).                                                                    │\n",
+       "│    Reference: https://en.wikipedia.org/wiki/The_Sweet_Idleness               │\n",
+       "│                                                                              │\n",
+       "│ Would you like more detail on any item (technical implications, business     │\n",
+       "│ impact, analyst reaction, full-article excerpts, or additional sources)?     │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [10/02/2025 00:00:36] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Here are the main AI stories reported today (Oct 1, 2025), with brief        \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m summaries and sources — tell me which one you want expanded.                 \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mMicrosoft launches Microsoft 365 Premium with Copilot for individuals —   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mNew $19.99/month individual plan bundles Copilot across Office apps,      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhigher Copilot usage limits, additional AI features and 1 TB storage;     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mMicrosoft is encouraging migration from Copilot Pro to this Premium tier. \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mSource: Reuters (Oct 1, 2025).                                            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLink:                                                                     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://www.reuters.com/technology/microsoft-launches-ai-powered-365-prem \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mium-bundle-1999-per-month-2025-10-01/                                     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mGoogle rolls out “Gemini for Home” (major Google Assistant / Nest         \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mupgrade) — Gemini replaces the Google Assistant on Google/Nest smart      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mdevices with more conversational, context-aware voice capabilities, new   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mvoices and household-profile support; Early Access begins Oct 1 with      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mbroader rollout to follow. Source: The Verge (Oct 1, 2025).               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLink:                                                                     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://www.theverge.com/tech/788102/gemini-for-home-new-google-assistant \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m-launch-date-price-features                                               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mOpenAI reported to sign supply/partnership deals to scale its             \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0minfrastructure (“Stargate” support) — Reports say OpenAI has agreements   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m(e.g., with Samsung, SK Hynix) for memory/chip supply and is expanding    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mdatacenter capacity (including in South Korea) to support larger model    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mdeployments. Source: The Verge (Oct 1, 2025).                             \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLink: https://www.theverge.com/news/789687/openai-samsung-stargate-chips  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mU.S. federal government shutdown begins — The shutdown that took effect   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mtoday has furloughed many federal staff and disrupted agency operations;  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mobservers warn it could delay or interrupt government-funded AI research, \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mgrants, and interagency collaborations. (Context and reporting Oct 1,     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m2025).                                                                    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mContext link:                                                             \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://en.wikipedia.org/wiki/2025_United_States_federal_government_shutd \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mown                                                                       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mFirst teaser from an AI-generated / AI-directed feature released — A      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhigh-profile AI-created film project released its first teaser today,     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mstoking debate over credits, copyright and “AI actors.” (Reported Oct 1,  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m2025).                                                                    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mReference: https://en.wikipedia.org/wiki/The_Sweet_Idleness               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Would you like more detail on any item (technical implications, business     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m impact, analyst reaction, full-article excerpts, or additional sources)?     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -240,7 +535,7 @@
     "    only_after_timestamp=event.created_at, \n",
     "    print_messages=True,\n",
     "    rich_print=True,\n",
-    "    timeout=600,\n",
+    "    timeout=120,\n",
     ")"
    ]
   }
diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index bf5abc2c..5088d905 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -829,7 +829,6 @@ async def run_agent_streamed_auto_send(
                                 )
                             # Reasoning step one: new summary part added
                             elif isinstance(event.data, ResponseReasoningSummaryPartAddedEvent):
-                                logger.info(f"DEBUG: ResponseReasoningSummaryPartAddedEvent: {event.data}")
                                 # We need to create a new streaming context for this reasoning item
                                 item_id = event.data.item_id
                                 
@@ -873,7 +872,6 @@ async def run_agent_streamed_auto_send(
 
                             # Reasoning step three: handling summary text done, closing the streaming context
                             elif isinstance(event.data, ResponseReasoningSummaryPartDoneEvent):
-                                logger.info(f"DEBUG: ResponseReasoningSummaryPartDoneEvent: {event.data}")
                                 # Handle reasoning summary text completion
                                 streaming_context = item_id_to_streaming_context[item_id]
                                 
@@ -894,8 +892,6 @@ async def run_agent_streamed_auto_send(
                                         type="full",
                                     ),
                                 )
-
-                                logger.info(f"DEBUG: Sent full message update with complete reasoning content: {complete_reasoning_content}")
                                 
                                 await streaming_context.close()
                                 unclosed_item_ids.discard(item_id)
diff --git a/src/agentex/lib/utils/dev_tools/async_messages.py b/src/agentex/lib/utils/dev_tools/async_messages.py
index 54cc1929..5c7eb9f3 100644
--- a/src/agentex/lib/utils/dev_tools/async_messages.py
+++ b/src/agentex/lib/utils/dev_tools/async_messages.py
@@ -323,7 +323,6 @@ def subscribe_to_async_task_messages(
             
             try:
                 for task_message_update_str in response.iter_text():
-                    # Save raw streaming data to file for debugging
                     try:
                         # Parse SSE format 
                         if task_message_update_str.strip().startswith('data: '):
@@ -335,7 +334,6 @@ def subscribe_to_async_task_messages(
 
                             # Handle different message types for streaming progress
                             if message_type == "start":
-                                print("Start message received" + task_message_update_str)
                                 task_message_update = StreamTaskMessageStart.model_validate(task_message_update_data)
                                 index = task_message_update.index or 0
                                 
@@ -356,7 +354,6 @@ def subscribe_to_async_task_messages(
                                     active_spinners[index] = spinner
                                 
                             elif message_type == "full":
-                                print("Full message received" + task_message_update_str)
                                 task_message_update = StreamTaskMessageFull.model_validate(task_message_update_data)
                                 index = task_message_update.index or 0
                                 
@@ -374,7 +371,6 @@ def subscribe_to_async_task_messages(
                                     print_task_message(finished_message, print_messages, rich_print)
                                 
                             elif message_type == "done":
-                                print("Done message received" + task_message_update_str)
                                 task_message_update = StreamTaskMessageDone.model_validate(task_message_update_data)
                                 index = task_message_update.index or 0
                                 

From 9d9ad165df8b24f7523a13e35a19e7376f97d64a Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 17:02:07 -0700
Subject: [PATCH 07/12] Remove logs

---
 .../logs/openai_stream_events.log             | 2342 -----------------
 1 file changed, 2342 deletions(-)
 delete mode 100644 examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log

diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log
deleted file mode 100644
index f5e79e3b..00000000
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/logs/openai_stream_events.log
+++ /dev/null
@@ -1,2342 +0,0 @@
-{"timestamp": "2025-10-01T16:41:08.196473", "event_type": "agent_updated_stream_event", "event_data": "AgentUpdatedStreamEvent(new_agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), type='agent_updated_stream_event')"}
-{"timestamp": "2025-10-01T16:41:08.733672", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCreatedEvent(response=Response(id='resp_08204b3efd7ba0a60068ddbc14897481979ae95a938b1ffb34', created_at=1759362068.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=0, type='response.created'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:41:08.737089", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseInProgressEvent(response=Response(id='resp_08204b3efd7ba0a60068ddbc14897481979ae95a938b1ffb34', created_at=1759362068.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=1, type='response.in_progress'), type='raw_response_event')"}
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-{"timestamp": "2025-10-01T16:41:32.903831", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseTextDeltaEvent(content_index=0, delta='.', item_id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', logprobs=[], output_index=1, sequence_number=1194, type='response.output_text.delta', obfuscation='KAJK3ihXNhWhRxM'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:41:33.024106", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseTextDoneEvent(content_index=0, item_id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', logprobs=[], output_index=1, sequence_number=1195, text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='response.output_text.done'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:41:33.025745", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseContentPartDoneEvent(content_index=0, item_id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', output_index=1, part=ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[]), sequence_number=1196, type='response.content_part.done'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:41:33.036432", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseOutputItemDoneEvent(item=ResponseOutputMessage(id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', content=[ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), output_index=1, sequence_number=1197, type='response.output_item.done'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:41:33.036662", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCompletedEvent(response=Response(id='resp_08204b3efd7ba0a60068ddbc14897481979ae95a938b1ffb34', created_at=1759362068.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[ResponseReasoningItem(id='rs_08204b3efd7ba0a60068ddbc157cb88197b02901891db17350', summary=[Summary(text='**Crafting a bedtime story**\\n\\nThe user wants a soothing bedtime story featuring a cat and a dog. I think it should be about 600-800 words but shorter could be fine. I want to keep the tone gentle, using simple language, and ensuring it\u2019s suitable for bedtime.\\n\\nI\\'ll include their personalities and a conflict that gets resolved. A lullaby line could enhance it, too. I\u2019ll create it in the third person, perhaps naming them \"Luna\" (cat) and \"Finn\" (dog). They\\'ll explore a garden, find a lost star, help each other, and snuggle before sleeping under the moonlight.', type='summary_text'), Summary(text=\"**Establishing soothing story elements**\\n\\nI definitely want to maintain a soothing cadence in the story. It's vital to avoid any scary elements to ensure it stays calming for bedtime. I think aiming for about 450-600 words is reasonable for keeping the story self-contained yet engaging. This way, I can include all the comforting details and gentle imagery to create a nice atmosphere for relaxation.  Let's keep it light and easy to follow!\", type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), ResponseOutputMessage(id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', content=[ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=ResponseUsage(input_tokens=4947, input_tokens_details=InputTokensDetails(cached_tokens=0), output_tokens=1172, output_tokens_details=OutputTokensDetails(reasoning_tokens=192), total_tokens=6119), user=None, store=True), sequence_number=1198, type='response.completed'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:41:33.186208", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='reasoning_item_created', item=ReasoningItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseReasoningItem(id='rs_08204b3efd7ba0a60068ddbc157cb88197b02901891db17350', summary=[Summary(text='**Crafting a bedtime story**\\n\\nThe user wants a soothing bedtime story featuring a cat and a dog. I think it should be about 600-800 words but shorter could be fine. I want to keep the tone gentle, using simple language, and ensuring it\u2019s suitable for bedtime.\\n\\nI\\'ll include their personalities and a conflict that gets resolved. A lullaby line could enhance it, too. I\u2019ll create it in the third person, perhaps naming them \"Luna\" (cat) and \"Finn\" (dog). They\\'ll explore a garden, find a lost star, help each other, and snuggle before sleeping under the moonlight.', type='summary_text'), Summary(text=\"**Establishing soothing story elements**\\n\\nI definitely want to maintain a soothing cadence in the story. It's vital to avoid any scary elements to ensure it stays calming for bedtime. I think aiming for about 450-600 words is reasonable for keeping the story self-contained yet engaging. This way, I can include all the comforting details and gentle imagery to create a nice atmosphere for relaxation.  Let's keep it light and easy to follow!\", type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), type='reasoning_item'), type='run_item_stream_event')"}
-{"timestamp": "2025-10-01T16:41:33.186482", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='message_output_created', item=MessageOutputItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseOutputMessage(id='msg_08204b3efd7ba0a60068ddbc1fe508819787b8029903e5e166', content=[ResponseOutputText(annotations=[], text='Luna the cat and Finn the dog lived in a small, blue house at the edge of a sleepy town. Every night, when the sky pulled on its dark velvet cloak and the first stars began to twinkle, Luna would curl on the windowsill and Finn would rest his head on his paws by the door. They watched the moon travel across the sky together.\\n\\nOne evening, the moon looked especially bright, and a single tiny star slipped from the sky and drifted down into their garden. It landed softly on a patch of clover and blinked like a little lantern. Luna\u2019s whiskers trembled with curiosity. Finn\u2019s tail made gentle, excited thumps on the grass.\\n\\n\u201cWe should help it,\u201d Luna whispered, because she liked order and quiet and knowing where things belonged.\\n\\n\u201cYes,\u201d Finn agreed, because he liked helping, especially if it meant an adventure before bedtime. His ears perked up, and he nudged a path through the clover with his nose so the star wouldn\u2019t be bothered by the dew.\\n\\nThe star was not bigger than a pebble but it gave off a warm, humming glow. It seemed lonely. Luna reached out a paw\u2014careful, silk-soft\u2014and the star nestled into the hollow of her paw like a sleeping thing. Finn offered a gentle nose and the star blinked twice, like a smile.\\n\\n\u201cHow will it get back to the sky?\u201d Finn wondered. He was good at big ideas and wide walks but medium at thinking about stars.\\n\\nLuna thought for a long moment. \u201cThe stars like high places,\u201d she said. \u201cWe need to climb there.\u201d\\n\\nSo they set off. Finn carried Luna on his back through the garden to the old oak tree, whose branches wove like a ladder into the night. Luna\u2019s claws were nimble and sure; Finn\u2019s paws were steady and kind. Luna climbed to the first branch and found a safe nook where the star could rest, but the sky was still far and the star seemed to hum softer.\\n\\nThey climbed higher. Luna leapt from branch to branch, and Finn padded along the thicker ones, his breath making tiny clouds in the cool air. Owls hooted below like slow metronomes and crickets provided a soft percussion. The world smelled of damp earth and lavender.\\n\\nAt the highest branch they could reach, Luna cupped the star between her paws and Finn stood with his paws planted wide so the tree would not wobble. For a moment Luna hesitated. The star was warm and lovely like a pocket of sunshine, and she felt a tug in her chest\u2014as if letting go might leave a small, quiet hollow inside her.\\n\\nFinn looked up at her, his eyes reflecting the star\u2019s glow. \u201cIt wants to go home,\u201d he said. \u201cBut it will come back every night as long as we remember it.\u201d\\n\\nLuna thought of the window where she liked to sleep and the way the moon would watch over them. She thought of the hush of the house and the way Finn snored gently in the evenings. She thought of the little things that were always there. With a soft purr that sounded almost like a sigh, she lifted her paws and placed the star back on a high, trembling twig. The star shimmered, stretched like a cat waking from a nap, and then it floated upward\u2014slower at first, then faster until it was a bright pinprick again, joining its friends.\\n\\nThey watched until the sky was whole once more. The moon blinked as if saying thank you. Luna climbed down and Finn padded to the root of the tree. They walked home side by side, paws leaving soft prints in the garden.\\n\\nBack in the blue house, the lamps were off and the curtains were shyly drawn. Luna jumped onto her windowsill and Finn settled onto his favorite rug. They pressed close together, a warm, mismatched stack of fur and paws. Outside, the night hummed softly. Inside, the house smelled of warm bread and old book pages.\\n\\n\u201cWill the star remember us?\u201d Finn asked, his voice already sleepy.\\n\\nLuna purred, slow and steady. \u201cEvery time you look up and see it twinkle, remember we helped it find its way,\u201d she said. \u201cIt will twinkle for us.\u201d\\n\\nFinn yawned a big, contented yawn that made his ears flop. Luna\u2019s tail curled around them both like a soft, silken blanket. The moon peered in through the window and cast a gentle light over them.\\n\\nSoon their breaths fell into the same calm rhythm. One paw, one purr, one slow, sleepy thump\u2014each a little promise that they would watch the sky together again.\\n\\nGoodnight, Luna. Goodnight, Finn. The stars shone kindly as the house drifted into dreams.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), type='message_output_item'), type='run_item_stream_event')"}
-{"timestamp": "2025-10-01T16:42:34.874474", "event_type": "agent_updated_stream_event", "event_data": "AgentUpdatedStreamEvent(new_agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), type='agent_updated_stream_event')"}
-{"timestamp": "2025-10-01T16:42:35.191486", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCreatedEvent(response=Response(id='resp_0b47287176b6a16c0068ddbc6b2ae0819dbb26e4dd78e582ec', created_at=1759362155.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=0, type='response.created'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:42:35.199654", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseInProgressEvent(response=Response(id='resp_0b47287176b6a16c0068ddbc6b2ae0819dbb26e4dd78e582ec', created_at=1759362155.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='auto', status='in_progress', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=None, user=None, store=True), sequence_number=1, type='response.in_progress'), type='raw_response_event')"}
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Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='response.output_text.done'), type='raw_response_event')"}
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Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[]), sequence_number=1134, type='response.content_part.done'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:42:58.448950", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseOutputItemDoneEvent(item=ResponseOutputMessage(id='msg_0b47287176b6a16c0068ddbc710298819d800eb2a73671dc2f', content=[ResponseOutputText(annotations=[], text='Luna the silver-tabby cat and Finn the golden-brown pup lived in a little house at the end of a quiet lane. Every evening, when the sky turned the color of warm tea and the first stars blinked awake, they had the same little ritual: Luna would sit on the windowsill watching the moon trim the rooftops in silver, and Finn would curl up by the fire, ears twitching at the night sounds.\\n\\nOne night, the moon hung low and round as a lantern. Luna padded silently to the door and nudged it open with her whiskers. Finn lifted his head, wagged once, and rose, his paws soft on the wooden floor. \u201cShall we see who will count the first star?\u201d Luna asked, her voice as smooth as a purr. Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), output_index=1, sequence_number=1135, type='response.output_item.done'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:42:58.449328", "event_type": "raw_response_event", "event_data": "RawResponsesStreamEvent(data=ResponseCompletedEvent(response=Response(id='resp_0b47287176b6a16c0068ddbc6b2ae0819dbb26e4dd78e582ec', created_at=1759362155.0, error=None, incomplete_details=None, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', metadata={}, model='gpt-5-mini-2025-08-07', object='response', output=[ResponseReasoningItem(id='rs_0b47287176b6a16c0068ddbc6baeb8819db4d4579d4fbc8a38', summary=[Summary(text='**Creating a bedtime story**\\n\\nThe user wants a calming bedtime story about a cat and a dog, with no constraints. I\u2019ll aim for around 600-800 words, focusing on gentle and soothing language. Including characters like Luna the cat and Finn the dog, they\\'ll have a cozy nighttime adventure finding stars and the moon. My goal is to use short paragraphs, sensory details, and lullaby-like lines. I\u2019ll conclude with a comforting \"goodnight\" and \"sleep tight.\" This will be child-friendly and enjoyable for reading aloud.', type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), ResponseOutputMessage(id='msg_0b47287176b6a16c0068ddbc710298819d800eb2a73671dc2f', content=[ResponseOutputText(annotations=[], text='Luna the silver-tabby cat and Finn the golden-brown pup lived in a little house at the end of a quiet lane. Every evening, when the sky turned the color of warm tea and the first stars blinked awake, they had the same little ritual: Luna would sit on the windowsill watching the moon trim the rooftops in silver, and Finn would curl up by the fire, ears twitching at the night sounds.\\n\\nOne night, the moon hung low and round as a lantern. Luna padded silently to the door and nudged it open with her whiskers. Finn lifted his head, wagged once, and rose, his paws soft on the wooden floor. \u201cShall we see who will count the first star?\u201d Luna asked, her voice as smooth as a purr. Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message')], parallel_tool_calls=True, temperature=1.0, tool_choice='auto', tools=[FunctionTool(name='openai_web_search', parameters={'$defs': {'UserLocation': {'properties': {'type': {'const': 'approximate', 'default': 'approximate', 'title': 'Type', 'type': 'string'}, 'city': {'title': 'City', 'type': 'string'}, 'country': {'default': None, 'title': 'Country', 'type': 'string'}, 'region': {'default': None, 'title': 'Region', 'type': 'string'}, 'timezone': {'enum': ['Africa/Abidjan', 'Africa/Accra', 'Africa/Addis_Ababa', 'Africa/Algiers', 'Africa/Asmara', 'Africa/Asmera', 'Africa/Bamako', 'Africa/Bangui', 'Africa/Banjul', 'Africa/Bissau', 'Africa/Blantyre', 'Africa/Brazzaville', 'Africa/Bujumbura', 'Africa/Cairo', 'Africa/Casablanca', 'Africa/Ceuta', 'Africa/Conakry', 'Africa/Dakar', 'Africa/Dar_es_Salaam', 'Africa/Djibouti', 'Africa/Douala', 'Africa/El_Aaiun', 'Africa/Freetown', 'Africa/Gaborone', 'Africa/Harare', 'Africa/Johannesburg', 'Africa/Juba', 'Africa/Kampala', 'Africa/Khartoum', 'Africa/Kigali', 'Africa/Kinshasa', 'Africa/Lagos', 'Africa/Libreville', 'Africa/Lome', 'Africa/Luanda', 'Africa/Lubumbashi', 'Africa/Lusaka', 'Africa/Malabo', 'Africa/Maputo', 'Africa/Maseru', 'Africa/Mbabane', 'Africa/Mogadishu', 'Africa/Monrovia', 'Africa/Nairobi', 'Africa/Ndjamena', 'Africa/Niamey', 'Africa/Nouakchott', 'Africa/Ouagadougou', 'Africa/Porto-Novo', 'Africa/Sao_Tome', 'Africa/Timbuktu', 'Africa/Tripoli', 'Africa/Tunis', 'Africa/Windhoek', 'America/Adak', 'America/Anchorage', 'America/Anguilla', 'America/Antigua', 'America/Araguaina', 'America/Argentina/Buenos_Aires', 'America/Argentina/Catamarca', 'America/Argentina/ComodRivadavia', 'America/Argentina/Cordoba', 'America/Argentina/Jujuy', 'America/Argentina/La_Rioja', 'America/Argentina/Mendoza', 'America/Argentina/Rio_Gallegos', 'America/Argentina/Salta', 'America/Argentina/San_Juan', 'America/Argentina/San_Luis', 'America/Argentina/Tucuman', 'America/Argentina/Ushuaia', 'America/Aruba', 'America/Asuncion', 'America/Atikokan', 'America/Atka', 'America/Bahia', 'America/Bahia_Banderas', 'America/Barbados', 'America/Belem', 'America/Belize', 'America/Blanc-Sablon', 'America/Boa_Vista', 'America/Bogota', 'America/Boise', 'America/Buenos_Aires', 'America/Cambridge_Bay', 'America/Campo_Grande', 'America/Cancun', 'America/Caracas', 'America/Catamarca', 'America/Cayenne', 'America/Cayman', 'America/Chicago', 'America/Chihuahua', 'America/Ciudad_Juarez', 'America/Coral_Harbour', 'America/Cordoba', 'America/Costa_Rica', 'America/Coyhaique', 'America/Creston', 'America/Cuiaba', 'America/Curacao', 'America/Danmarkshavn', 'America/Dawson', 'America/Dawson_Creek', 'America/Denver', 'America/Detroit', 'America/Dominica', 'America/Edmonton', 'America/Eirunepe', 'America/El_Salvador', 'America/Ensenada', 'America/Fort_Nelson', 'America/Fort_Wayne', 'America/Fortaleza', 'America/Glace_Bay', 'America/Godthab', 'America/Goose_Bay', 'America/Grand_Turk', 'America/Grenada', 'America/Guadeloupe', 'America/Guatemala', 'America/Guayaquil', 'America/Guyana', 'America/Halifax', 'America/Havana', 'America/Hermosillo', 'America/Indiana/Indianapolis', 'America/Indiana/Knox', 'America/Indiana/Marengo', 'America/Indiana/Petersburg', 'America/Indiana/Tell_City', 'America/Indiana/Vevay', 'America/Indiana/Vincennes', 'America/Indiana/Winamac', 'America/Indianapolis', 'America/Inuvik', 'America/Iqaluit', 'America/Jamaica', 'America/Jujuy', 'America/Juneau', 'America/Kentucky/Louisville', 'America/Kentucky/Monticello', 'America/Knox_IN', 'America/Kralendijk', 'America/La_Paz', 'America/Lima', 'America/Los_Angeles', 'America/Louisville', 'America/Lower_Princes', 'America/Maceio', 'America/Managua', 'America/Manaus', 'America/Marigot', 'America/Martinique', 'America/Matamoros', 'America/Mazatlan', 'America/Mendoza', 'America/Menominee', 'America/Merida', 'America/Metlakatla', 'America/Mexico_City', 'America/Miquelon', 'America/Moncton', 'America/Monterrey', 'America/Montevideo', 'America/Montreal', 'America/Montserrat', 'America/Nassau', 'America/New_York', 'America/Nipigon', 'America/Nome', 'America/Noronha', 'America/North_Dakota/Beulah', 'America/North_Dakota/Center', 'America/North_Dakota/New_Salem', 'America/Nuuk', 'America/Ojinaga', 'America/Panama', 'America/Pangnirtung', 'America/Paramaribo', 'America/Phoenix', 'America/Port-au-Prince', 'America/Port_of_Spain', 'America/Porto_Acre', 'America/Porto_Velho', 'America/Puerto_Rico', 'America/Punta_Arenas', 'America/Rainy_River', 'America/Rankin_Inlet', 'America/Recife', 'America/Regina', 'America/Resolute', 'America/Rio_Branco', 'America/Rosario', 'America/Santa_Isabel', 'America/Santarem', 'America/Santiago', 'America/Santo_Domingo', 'America/Sao_Paulo', 'America/Scoresbysund', 'America/Shiprock', 'America/Sitka', 'America/St_Barthelemy', 'America/St_Johns', 'America/St_Kitts', 'America/St_Lucia', 'America/St_Thomas', 'America/St_Vincent', 'America/Swift_Current', 'America/Tegucigalpa', 'America/Thule', 'America/Thunder_Bay', 'America/Tijuana', 'America/Toronto', 'America/Tortola', 'America/Vancouver', 'America/Virgin', 'America/Whitehorse', 'America/Winnipeg', 'America/Yakutat', 'America/Yellowknife', 'Antarctica/Casey', 'Antarctica/Davis', 'Antarctica/DumontDUrville', 'Antarctica/Macquarie', 'Antarctica/Mawson', 'Antarctica/McMurdo', 'Antarctica/Palmer', 'Antarctica/Rothera', 'Antarctica/South_Pole', 'Antarctica/Syowa', 'Antarctica/Troll', 'Antarctica/Vostok', 'Arctic/Longyearbyen', 'Asia/Aden', 'Asia/Almaty', 'Asia/Amman', 'Asia/Anadyr', 'Asia/Aqtau', 'Asia/Aqtobe', 'Asia/Ashgabat', 'Asia/Ashkhabad', 'Asia/Atyrau', 'Asia/Baghdad', 'Asia/Bahrain', 'Asia/Baku', 'Asia/Bangkok', 'Asia/Barnaul', 'Asia/Beirut', 'Asia/Bishkek', 'Asia/Brunei', 'Asia/Calcutta', 'Asia/Chita', 'Asia/Choibalsan', 'Asia/Chongqing', 'Asia/Chungking', 'Asia/Colombo', 'Asia/Dacca', 'Asia/Damascus', 'Asia/Dhaka', 'Asia/Dili', 'Asia/Dubai', 'Asia/Dushanbe', 'Asia/Famagusta', 'Asia/Gaza', 'Asia/Harbin', 'Asia/Hebron', 'Asia/Ho_Chi_Minh', 'Asia/Hong_Kong', 'Asia/Hovd', 'Asia/Irkutsk', 'Asia/Istanbul', 'Asia/Jakarta', 'Asia/Jayapura', 'Asia/Jerusalem', 'Asia/Kabul', 'Asia/Kamchatka', 'Asia/Karachi', 'Asia/Kashgar', 'Asia/Kathmandu', 'Asia/Katmandu', 'Asia/Khandyga', 'Asia/Kolkata', 'Asia/Krasnoyarsk', 'Asia/Kuala_Lumpur', 'Asia/Kuching', 'Asia/Kuwait', 'Asia/Macao', 'Asia/Macau', 'Asia/Magadan', 'Asia/Makassar', 'Asia/Manila', 'Asia/Muscat', 'Asia/Nicosia', 'Asia/Novokuznetsk', 'Asia/Novosibirsk', 'Asia/Omsk', 'Asia/Oral', 'Asia/Phnom_Penh', 'Asia/Pontianak', 'Asia/Pyongyang', 'Asia/Qatar', 'Asia/Qostanay', 'Asia/Qyzylorda', 'Asia/Rangoon', 'Asia/Riyadh', 'Asia/Saigon', 'Asia/Sakhalin', 'Asia/Samarkand', 'Asia/Seoul', 'Asia/Shanghai', 'Asia/Singapore', 'Asia/Srednekolymsk', 'Asia/Taipei', 'Asia/Tashkent', 'Asia/Tbilisi', 'Asia/Tehran', 'Asia/Tel_Aviv', 'Asia/Thimbu', 'Asia/Thimphu', 'Asia/Tokyo', 'Asia/Tomsk', 'Asia/Ujung_Pandang', 'Asia/Ulaanbaatar', 'Asia/Ulan_Bator', 'Asia/Urumqi', 'Asia/Ust-Nera', 'Asia/Vientiane', 'Asia/Vladivostok', 'Asia/Yakutsk', 'Asia/Yangon', 'Asia/Yekaterinburg', 'Asia/Yerevan', 'Atlantic/Azores', 'Atlantic/Bermuda', 'Atlantic/Canary', 'Atlantic/Cape_Verde', 'Atlantic/Faeroe', 'Atlantic/Faroe', 'Atlantic/Jan_Mayen', 'Atlantic/Madeira', 'Atlantic/Reykjavik', 'Atlantic/South_Georgia', 'Atlantic/St_Helena', 'Atlantic/Stanley', 'Australia/ACT', 'Australia/Adelaide', 'Australia/Brisbane', 'Australia/Broken_Hill', 'Australia/Canberra', 'Australia/Currie', 'Australia/Darwin', 'Australia/Eucla', 'Australia/Hobart', 'Australia/LHI', 'Australia/Lindeman', 'Australia/Lord_Howe', 'Australia/Melbourne', 'Australia/NSW', 'Australia/North', 'Australia/Perth', 'Australia/Queensland', 'Australia/South', 'Australia/Sydney', 'Australia/Tasmania', 'Australia/Victoria', 'Australia/West', 'Australia/Yancowinna', 'Brazil/Acre', 'Brazil/DeNoronha', 'Brazil/East', 'Brazil/West', 'CET', 'CST6CDT', 'Canada/Atlantic', 'Canada/Central', 'Canada/Eastern', 'Canada/Mountain', 'Canada/Newfoundland', 'Canada/Pacific', 'Canada/Saskatchewan', 'Canada/Yukon', 'Chile/Continental', 'Chile/EasterIsland', 'Cuba', 'EET', 'EST', 'EST5EDT', 'Egypt', 'Eire', 'Etc/GMT', 'Etc/GMT+0', 'Etc/GMT+1', 'Etc/GMT+10', 'Etc/GMT+11', 'Etc/GMT+12', 'Etc/GMT+2', 'Etc/GMT+3', 'Etc/GMT+4', 'Etc/GMT+5', 'Etc/GMT+6', 'Etc/GMT+7', 'Etc/GMT+8', 'Etc/GMT+9', 'Etc/GMT-0', 'Etc/GMT-1', 'Etc/GMT-10', 'Etc/GMT-11', 'Etc/GMT-12', 'Etc/GMT-13', 'Etc/GMT-14', 'Etc/GMT-2', 'Etc/GMT-3', 'Etc/GMT-4', 'Etc/GMT-5', 'Etc/GMT-6', 'Etc/GMT-7', 'Etc/GMT-8', 'Etc/GMT-9', 'Etc/GMT0', 'Etc/Greenwich', 'Etc/UCT', 'Etc/UTC', 'Etc/Universal', 'Etc/Zulu', 'Europe/Amsterdam', 'Europe/Andorra', 'Europe/Astrakhan', 'Europe/Athens', 'Europe/Belfast', 'Europe/Belgrade', 'Europe/Berlin', 'Europe/Bratislava', 'Europe/Brussels', 'Europe/Bucharest', 'Europe/Budapest', 'Europe/Busingen', 'Europe/Chisinau', 'Europe/Copenhagen', 'Europe/Dublin', 'Europe/Gibraltar', 'Europe/Guernsey', 'Europe/Helsinki', 'Europe/Isle_of_Man', 'Europe/Istanbul', 'Europe/Jersey', 'Europe/Kaliningrad', 'Europe/Kiev', 'Europe/Kirov', 'Europe/Kyiv', 'Europe/Lisbon', 'Europe/Ljubljana', 'Europe/London', 'Europe/Luxembourg', 'Europe/Madrid', 'Europe/Malta', 'Europe/Mariehamn', 'Europe/Minsk', 'Europe/Monaco', 'Europe/Moscow', 'Europe/Nicosia', 'Europe/Oslo', 'Europe/Paris', 'Europe/Podgorica', 'Europe/Prague', 'Europe/Riga', 'Europe/Rome', 'Europe/Samara', 'Europe/San_Marino', 'Europe/Sarajevo', 'Europe/Saratov', 'Europe/Simferopol', 'Europe/Skopje', 'Europe/Sofia', 'Europe/Stockholm', 'Europe/Tallinn', 'Europe/Tirane', 'Europe/Tiraspol', 'Europe/Ulyanovsk', 'Europe/Uzhgorod', 'Europe/Vaduz', 'Europe/Vatican', 'Europe/Vienna', 'Europe/Vilnius', 'Europe/Volgograd', 'Europe/Warsaw', 'Europe/Zagreb', 'Europe/Zaporozhye', 'Europe/Zurich', 'Factory', 'GB', 'GB-Eire', 'GMT', 'GMT+0', 'GMT-0', 'GMT0', 'Greenwich', 'HST', 'Hongkong', 'Iceland', 'Indian/Antananarivo', 'Indian/Chagos', 'Indian/Christmas', 'Indian/Cocos', 'Indian/Comoro', 'Indian/Kerguelen', 'Indian/Mahe', 'Indian/Maldives', 'Indian/Mauritius', 'Indian/Mayotte', 'Indian/Reunion', 'Iran', 'Israel', 'Jamaica', 'Japan', 'Kwajalein', 'Libya', 'MET', 'MST', 'MST7MDT', 'Mexico/BajaNorte', 'Mexico/BajaSur', 'Mexico/General', 'NZ', 'NZ-CHAT', 'Navajo', 'PRC', 'PST8PDT', 'Pacific/Apia', 'Pacific/Auckland', 'Pacific/Bougainville', 'Pacific/Chatham', 'Pacific/Chuuk', 'Pacific/Easter', 'Pacific/Efate', 'Pacific/Enderbury', 'Pacific/Fakaofo', 'Pacific/Fiji', 'Pacific/Funafuti', 'Pacific/Galapagos', 'Pacific/Gambier', 'Pacific/Guadalcanal', 'Pacific/Guam', 'Pacific/Honolulu', 'Pacific/Johnston', 'Pacific/Kanton', 'Pacific/Kiritimati', 'Pacific/Kosrae', 'Pacific/Kwajalein', 'Pacific/Majuro', 'Pacific/Marquesas', 'Pacific/Midway', 'Pacific/Nauru', 'Pacific/Niue', 'Pacific/Norfolk', 'Pacific/Noumea', 'Pacific/Pago_Pago', 'Pacific/Palau', 'Pacific/Pitcairn', 'Pacific/Pohnpei', 'Pacific/Ponape', 'Pacific/Port_Moresby', 'Pacific/Rarotonga', 'Pacific/Saipan', 'Pacific/Samoa', 'Pacific/Tahiti', 'Pacific/Tarawa', 'Pacific/Tongatapu', 'Pacific/Truk', 'Pacific/Wake', 'Pacific/Wallis', 'Pacific/Yap', 'Poland', 'Portugal', 'ROC', 'ROK', 'Singapore', 'Turkey', 'UCT', 'US/Alaska', 'US/Aleutian', 'US/Arizona', 'US/Central', 'US/East-Indiana', 'US/Eastern', 'US/Hawaii', 'US/Indiana-Starke', 'US/Michigan', 'US/Mountain', 'US/Pacific', 'US/Samoa', 'UTC', 'Universal', 'W-SU', 'WET', 'Zulu'], 'minLength': 1, 'title': 'Timezone', 'type': 'string'}}, 'required': ['city', 'timezone'], 'title': 'UserLocation', 'type': 'object'}}, 'properties': {'input': {'description': 'The search query or question to search for', 'title': 'Input', 'type': 'string'}, 'model': {'anyOf': [{'enum': ['gpt-4o', 'gpt-4o-mini', 'gpt-5', 'gpt-5-mini', 'gpt-5-nano', 'o3', 'o4-mini'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'AI model to use. Defaults to OPENAI_DEFAULT_MODEL env var or gpt-5-mini', 'title': 'Model'}, 'reasoning_effort': {'anyOf': [{'enum': ['low', 'medium', 'high', 'minimal'], 'type': 'string'}, {'type': 'null'}], 'default': None, 'description': 'Reasoning effort level for supported models (gpt-5, o3, o4-mini). Default: low for gpt-5-mini, medium for others', 'title': 'Reasoning Effort'}, 'type': {'default': 'web_search_preview', 'description': 'Web search API version to use', 'enum': ['web_search_preview', 'web_search_preview_2025_03_11'], 'title': 'Type', 'type': 'string'}, 'search_context_size': {'default': 'medium', 'description': 'Amount of context to include in search results', 'enum': ['low', 'medium', 'high'], 'title': 'Search Context Size', 'type': 'string'}, 'user_location': {'anyOf': [{'$ref': '#/$defs/UserLocation'}, {'type': 'null'}], 'default': None, 'description': 'Optional user location for localized search results'}}, 'required': ['input'], 'title': 'openai_web_searchArguments', 'type': 'object'}, strict=False, type='function', description=\"OpenAI Web Search with reasoning models. \\n\\nFor quick multi-round searches: Use 'gpt-5-mini' with reasoning_effort='low' for fast iterations.\\n\\nFor deep research: Use 'gpt-5' with reasoning_effort='medium' or 'high'. \\nThe result is already multi-round reasoned, so agents don't need continuous iterations.\\n\\nSupports: gpt-4o (no reasoning), gpt-5/gpt-5-mini/gpt-5-nano, o3/o4-mini (with reasoning).\")], top_p=1.0, background=False, max_output_tokens=None, max_tool_calls=None, previous_response_id=None, prompt=None, prompt_cache_key=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), safety_identifier=None, service_tier='default', status='completed', text=ResponseTextConfig(format=ResponseFormatText(type='text'), verbosity='medium'), top_logprobs=0, truncation='disabled', usage=ResponseUsage(input_tokens=4947, input_tokens_details=InputTokensDetails(cached_tokens=0), output_tokens=1153, output_tokens_details=OutputTokensDetails(reasoning_tokens=128), total_tokens=6100), user=None, store=True), sequence_number=1136, type='response.completed'), type='raw_response_event')"}
-{"timestamp": "2025-10-01T16:42:58.533735", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='reasoning_item_created', item=ReasoningItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseReasoningItem(id='rs_0b47287176b6a16c0068ddbc6baeb8819db4d4579d4fbc8a38', summary=[Summary(text='**Creating a bedtime story**\\n\\nThe user wants a calming bedtime story about a cat and a dog, with no constraints. I\u2019ll aim for around 600-800 words, focusing on gentle and soothing language. Including characters like Luna the cat and Finn the dog, they\\'ll have a cozy nighttime adventure finding stars and the moon. My goal is to use short paragraphs, sensory details, and lullaby-like lines. I\u2019ll conclude with a comforting \"goodnight\" and \"sleep tight.\" This will be child-friendly and enjoyable for reading aloud.', type='summary_text')], type='reasoning', content=None, encrypted_content=None, status=None), type='reasoning_item'), type='run_item_stream_event')"}
-{"timestamp": "2025-10-01T16:42:58.533923", "event_type": "run_item_stream_event", "event_data": "RunItemStreamEvent(name='message_output_created', item=MessageOutputItem(agent=Agent(name='Tool-Enabled Assistant', handoff_description=None, tools=[], mcp_servers=[], mcp_config={}, instructions='You are a helpful assistant that can answer questions using various tools. You have access to sequential thinking and web search capabilities through MCP servers, as well as a calculator tool for performing basic arithmetic operations. Use these tools when appropriate to provide accurate and well-reasoned responses.', prompt=None, handoffs=[], model='gpt-5-mini', model_settings=ModelSettings(temperature=None, top_p=None, frequency_penalty=None, presence_penalty=None, tool_choice=None, parallel_tool_calls=None, truncation=None, max_tokens=None, reasoning=Reasoning(effort='medium', generate_summary=None, summary='detailed'), verbosity=None, metadata=None, store=None, include_usage=None, response_include=None, top_logprobs=None, extra_query=None, extra_body=None, extra_headers=None, extra_args=None), input_guardrails=[], output_guardrails=[], output_type=None, hooks=None, tool_use_behavior='run_llm_again', reset_tool_choice=True), raw_item=ResponseOutputMessage(id='msg_0b47287176b6a16c0068ddbc710298819d800eb2a73671dc2f', content=[ResponseOutputText(annotations=[], text='Luna the silver-tabby cat and Finn the golden-brown pup lived in a little house at the end of a quiet lane. Every evening, when the sky turned the color of warm tea and the first stars blinked awake, they had the same little ritual: Luna would sit on the windowsill watching the moon trim the rooftops in silver, and Finn would curl up by the fire, ears twitching at the night sounds.\\n\\nOne night, the moon hung low and round as a lantern. Luna padded silently to the door and nudged it open with her whiskers. Finn lifted his head, wagged once, and rose, his paws soft on the wooden floor. \u201cShall we see who will count the first star?\u201d Luna asked, her voice as smooth as a purr. Finn\u2019s tail gave a happy thump. \u201cLet\u2019s,\u201d he said, bounding into the cool air.\\n\\nOutside, the lane smelled like lavender and old stories. Crickets kept time with a gentle song. Luna and Finn walked together under a sky that seemed stitched with silver thread. They passed Mrs. Willow, whose branches brushed the cobbles and whispered secrets to anyone who would listen. Tonight the willow hummed about the stars.\\n\\nThey reached the small pond at the edge of the lane. The water was a dark mirror, reflecting the moon and a thousand specks of light. Luna hopped onto a stepping stone and balanced with a careful flick of her tail. Finn sat beside her, head cocked, watching the fish make soft ripples. \u201cOne,\u201d whispered Luna, pointing her paw at a bright star. Finn barked softly, and the sound floated like a bell. \u201cTwo,\u201d he answered, for he had seen another star peek from behind a cloud.\\n\\nAs they counted, a gentle breeze carried a tiny spark of stardust down from the sky. It landed on the willow leaves and shimmered like sugar. Luna reached out a paw to touch it, and Finn leaned in, his nose tickling the air. The stardust smelled faintly of honey and warm bread, and when it brushed their fur it felt like someone had tucked a warm blanket around them.\\n\\n\u201cWouldn\u2019t it be nice to carry a star home?\u201d Finn said dreamily. Luna thought for a moment, then purred, \u201cWe don\u2019t need to carry one. Home is where the stars come close enough to keep us company.\u201d They sat very still, listening to the night breathe.\\n\\nA little way down the lane, the old barn door was cracked open, and inside a chorus of sleepy animals made a gentle, rustling lullaby. A pair of barn mice yawned and settled in their nest. An owl blinked his big round eyes and turned them slowly toward Luna and Finn, who tipped their heads in friendship. Even the fireflies seemed to float by more slowly, as if they too wished to fall asleep.\\n\\nWhen their paws grew tired, the two friends started back. Luna led with the sure steps of a cat who knows every shadow; Finn followed with the steady pace of a dog who keeps watch. On the windowsill, their house glowed a soft amber. They slipped inside the way dreams slip into sleep: without hurry, without fuss.\\n\\nFinn curled on his favorite rug, nose tucked under a paw. Luna wound herself into a perfect crescent on the windowsill where the moonbeam warmed her fur. \u201cTell me a story,\u201d Finn murmured, his voice almost asleep. Luna thought of the pond and the willow and the way the stardust had felt. She told him about the stars that counted them back, about the way the willow hummed like a mother\u2019s lullaby.\\n\\nAs the story drifted on, their breathing fell into the same slow rhythm, like the tide that kisses the shore and then is still. Outside, the moon watched over the lane, and the stars took their places like tiny night-lamps, patient and kind. Inside, the house held a quiet. The clock ticked softly, the teacup on the windowsill breathed out steam that curled like a lazy question mark, and all was gentle and safe.\\n\\nBefore the last line of Luna\u2019s story could be finished, both friends were already half-dreaming\u2014Finn dreaming of running across fields of clover with the stars overhead, Luna dreaming of moonbeams that turned into ribbons for her to chase. Luna nudged Finn\u2019s ear once with a paw and whispered, \u201cGoodnight, my friend.\u201d Finn\u2019s tail gave one contented thump, a secret handshake between two who belong to each other.\\n\\nOutside, the willow kept whispering, the pond kept its silver face, and the moon nodded slowly, pleased. Inside, the house breathed, settled, and slept. Luna and Finn dreamed under a sky that knew their names.\\n\\nGoodnight, little lane. Goodnight, whispering willow. Goodnight, stars. Goodnight, Luna and Finn. Sleep soft and warm until morning wakes you with light and new small adventures.', type='output_text', logprobs=[])], role='assistant', status='completed', type='message'), type='message_output_item'), type='run_item_stream_event')"}

From 1c65a26ee4042c818489370705b2d8b9b8b4433f Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 17:07:20 -0700
Subject: [PATCH 08/12] Revert tool call

---
 .../lib/core/services/adk/providers/openai.py | 67 +++++++++----------
 1 file changed, 30 insertions(+), 37 deletions(-)

diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index 5088d905..ab1b682d 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -738,10 +738,35 @@ async def run_agent_streamed_auto_send(
                         
                         heartbeat_if_in_workflow("processing stream event with auto send")
                         if event.type == "run_item_stream_event":
-                            # Tool calls are now handled via raw response events
-                            # for streaming arguments as they come in.
-                            # Here we handle tool outputs after execution
-                            if event.item.type == "tool_call_output_item":
+                            if event.item.type == "tool_call_item":
+                                tool_call_item = event.item.raw_item
+
+                                # Extract tool call information using the helper method
+                                call_id, tool_name, tool_arguments = self._extract_tool_call_info(tool_call_item)
+                                tool_call_map[call_id] = tool_call_item
+
+                                tool_request_content = ToolRequestContent(
+                                    author="agent",
+                                    tool_call_id=call_id,
+                                    name=tool_name,
+                                    arguments=tool_arguments,
+                                )
+
+                                # Create tool request using streaming context (immediate completion)
+                                async with self.streaming_service.streaming_task_message_context(
+                                    task_id=task_id,
+                                    initial_content=tool_request_content,
+                                ) as streaming_context:
+                                    # The message has already been persisted, but we still need to send an upda
+                                    await streaming_context.stream_update(
+                                        update=StreamTaskMessageFull(
+                                            parent_task_message=streaming_context.task_message,
+                                            content=tool_request_content,
+                                            type="full",
+                                        ),
+                                    )
+                                    
+                            elif event.item.type == "tool_call_output_item":
                                 tool_output_item = event.item.raw_item
 
                                 tool_response_content = ToolResponseContent(
@@ -767,39 +792,7 @@ async def run_agent_streamed_auto_send(
                                     )
 
                         elif event.type == "raw_response_event":
-                            if isinstance(
-                                event.data, ResponseOutputItemAddedEvent
-                            ):
-                            
-                                # Handle new output item being added
-                                if event.data.item.type == "function_call":
-                                    # Tool call is starting - just store mappings
-                                    tool_call = event.data.item
-                                    tool_call_map[tool_call.call_id] = tool_call
-                                    tool_call_item_id_to_call_id[
-                                        tool_call.id
-                                    ] = tool_call.call_id
-                                    
-                            elif isinstance(
-                                event.data, ResponseFunctionCallArgumentsDeltaEvent
-                            ):
-                                # Handle function call arguments delta
-                                # Find the call_id from the item_id
-                                if (
-                                    event.data.item_id
-                                    in tool_call_item_id_to_call_id
-                                ):
-                                    call_id = tool_call_item_id_to_call_id[
-                                        event.data.item_id
-                                    ]
-
-                                    # Just accumulate arguments - don't stream yet
-                                    if call_id in tool_call_map:
-                                        tool_call_map[
-                                            call_id
-                                        ].arguments += event.data.delta
-
-                            elif isinstance(event.data, ResponseTextDeltaEvent):
+                            if isinstance(event.data, ResponseTextDeltaEvent):
                                 # Handle text delta
                                 item_id = event.data.item_id
 

From 857c9cab9ffb06d50f9d7371cc24e2e7a79dc019 Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 17:11:00 -0700
Subject: [PATCH 09/12] More changes, need to merge main

---
 .../lib/core/services/adk/providers/openai.py | 71 +------------------
 1 file changed, 2 insertions(+), 69 deletions(-)

diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index ab1b682d..84f25e2f 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -672,7 +672,6 @@ async def run_agent_streamed_auto_send(
             raise ValueError("Agentex client must be provided for auto_send methods")
 
         tool_call_map: dict[str, ResponseFunctionToolCall] = {}
-        tool_call_item_id_to_call_id: dict[str, str] = {}
 
         trace = self.tracer.trace(trace_id)
         redacted_params = redact_mcp_server_params(mcp_server_params)
@@ -765,7 +764,7 @@ async def run_agent_streamed_auto_send(
                                             type="full",
                                         ),
                                     )
-                                    
+
                             elif event.item.type == "tool_call_output_item":
                                 tool_output_item = event.item.raw_item
 
@@ -893,79 +892,13 @@ async def run_agent_streamed_auto_send(
                             elif isinstance(event.data, ResponseOutputItemDoneEvent):
                                 # Handle item completion
                                 item_id = event.data.item.id
-
-                                # Check if this is a tool call completion
-                                if (
-                                    event.data.item.type == "function_call"
-                                    and item_id in tool_call_item_id_to_call_id
-                                ):
-                                    call_id = tool_call_item_id_to_call_id[
-                                        item_id
-                                    ]
-
-                                    # Now that arguments are complete, stream
-                                    # the tool request
-                                    if call_id in tool_call_map:
-                                        # Parse the complete arguments
-                                        tool_args = {}
-                                        args_str = tool_call_map[call_id].arguments
-                                        if isinstance(args_str, str) and args_str:
-                                            try:
-                                                tool_args = json.loads(args_str)
-                                            except (
-                                                json.JSONDecodeError,
-                                                ValueError
-                                            ):
-                                                # Keep as empty dict if not
-                                                # valid JSON
-                                                pass
-
-                                        # Create tool request with complete
-                                        # arguments
-                                        tool_request_content = ToolRequestContent(
-                                            author="agent",
-                                            tool_call_id=call_id,
-                                            name=tool_call_map[call_id].name,
-                                            arguments=tool_args,
-                                        )
-
-                                        # Create and stream the tool request
-                                        async with (
-                                            self.streaming_service.
-                                            streaming_task_message_context(
-                                                task_id=task_id,
-                                                initial_content=(
-                                                    tool_request_content
-                                                ),
-                                            ) as streaming_context
-                                        ):
-                                            # Tool requests don't count for first stream update timing
-                                            await streaming_context.stream_update(
-                                                update=StreamTaskMessageFull(
-                                                    parent_task_message=(
-                                                        streaming_context.
-                                                        task_message
-                                                    ),
-                                                    content=tool_request_content,
-                                                    type="full",
-                                                )
-                                            )
-
-                                # Handle text message completion
-                                elif item_id in item_id_to_streaming_context:
+                                if item_id in item_id_to_streaming_context:
                                     streaming_context = (
                                         item_id_to_streaming_context[
                                             item_id
                                         ]
                                     )
 
-                                    # Don't close streaming contexts for reasoning
-                                    # They should just end with their last delta
-                                    # Only close if it's not reasoning content
-                                    if not isinstance(streaming_context.task_message.content, ReasoningContent):
-                                        await streaming_context.close()
-                                        unclosed_item_ids.discard(item_id)
-
                             elif isinstance(event.data, ResponseCompletedEvent):
                                 # All items complete, finish all remaining
                                 # streaming contexts for this session

From 6bf8174832d31df1111f19c87ac2114580d97455 Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 17:19:52 -0700
Subject: [PATCH 10/12] Final hopefully

---
 .../lib/core/services/adk/providers/openai.py | 77 ++++++++-----------
 1 file changed, 31 insertions(+), 46 deletions(-)

diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index 0eb141f5..81e8ce47 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -1,6 +1,5 @@
 # Standard library imports
 import json
-from contextlib import AsyncExitStack, asynccontextmanager
 from typing import Any, Literal
 from contextlib import AsyncExitStack, asynccontextmanager
 
@@ -16,15 +15,12 @@
     ResponseTextDeltaEvent,
     ResponseFunctionWebSearch,
     ResponseCodeInterpreterToolCall,
-    ResponseFunctionCallArgumentsDeltaEvent,
     ResponseFunctionToolCall,
-    ResponseOutputItemAddedEvent,
     ResponseOutputItemDoneEvent,
     ResponseTextDeltaEvent,
     ResponseReasoningSummaryPartAddedEvent,
     ResponseReasoningSummaryTextDeltaEvent,
     ResponseReasoningSummaryPartDoneEvent,
-    
 )
 
 # Local imports
@@ -768,8 +764,8 @@ async def run_agent_streamed_auto_send(
                 try:
                     # Process streaming events with TaskMessage creation
                     async for event in result.stream_events():
-                        
                         heartbeat_if_in_workflow("processing stream event with auto send")
+
                         if event.type == "run_item_stream_event":
                             if event.item.type == "tool_call_item":
                                 tool_call_item = event.item.raw_item
@@ -802,13 +798,16 @@ async def run_agent_streamed_auto_send(
                             elif event.item.type == "tool_call_output_item":
                                 tool_output_item = event.item.raw_item
 
+                                # Extract tool response information using the helper method
+                                call_id, tool_name, content = self._extract_tool_response_info(
+                                    tool_call_map, tool_output_item
+                                )
+
                                 tool_response_content = ToolResponseContent(
                                     author="agent",
-                                    tool_call_id=tool_output_item["call_id"],
-                                    name=tool_call_map[
-                                        tool_output_item["call_id"]
-                                    ].name,
-                                    content=tool_output_item["output"],
+                                    tool_call_id=call_id,
+                                    name=tool_name,
+                                    content=content,
                                 )
 
                                 # Create tool response using streaming context (immediate completion)
@@ -926,33 +925,25 @@ async def run_agent_streamed_auto_send(
                             elif isinstance(event.data, ResponseOutputItemDoneEvent):
                                 # Handle item completion
                                 item_id = event.data.item.id
+
+                                # Finish the streaming context (sends DONE event and updates message)
                                 if item_id in item_id_to_streaming_context:
-                                    streaming_context = (
-                                        item_id_to_streaming_context[
-                                            item_id
-                                        ]
-                                    )
+                                    streaming_context = item_id_to_streaming_context[item_id]
+                                    await streaming_context.close()
+                                    if item_id in unclosed_item_ids:
+                                        unclosed_item_ids.remove(item_id)
 
                             elif isinstance(event.data, ResponseCompletedEvent):
-                                # All items complete, finish all remaining
-                                # streaming contexts for this session
-                                # Create copy to avoid modifying set in iteration
+                                # All items complete, finish all remaining streaming contexts for this session
+                                # Create a copy to avoid modifying set during iteration
                                 remaining_items = list(unclosed_item_ids)
                                 for item_id in remaining_items:
-                                    if (item_id in unclosed_item_ids and
-                                            item_id in
-                                            item_id_to_streaming_context):
-                                        streaming_context = (
-                                            item_id_to_streaming_context[
-                                                item_id
-                                            ]
-                                        )
-
-                                        # Don't close streaming contexts for text or reasoning
-                                        # They should just end with their last delta
-                                        if not isinstance(streaming_context.task_message.content, (TextContent, ReasoningContent)):
-                                            await streaming_context.close()
-                                            unclosed_item_ids.discard(item_id)
+                                    if (
+                                        item_id in unclosed_item_ids and item_id in item_id_to_streaming_context
+                                    ):  # Check if still unclosed
+                                        streaming_context = item_id_to_streaming_context[item_id]
+                                        await streaming_context.close()
+                                        unclosed_item_ids.discard(item_id)
 
                 except InputGuardrailTripwireTriggered as e:
                     # Handle guardrail trigger by sending a rejection message
@@ -1031,22 +1022,16 @@ async def run_agent_streamed_auto_send(
                     raise
 
                 finally:
-                    # Cleanup: ensure all streaming contexts for
-                    # this session are properly finished
-                    # Create copy to avoid modifying set in iteration
+                    # Cleanup: ensure all streaming contexts for this session are properly finished
+                    # Create a copy to avoid modifying set during iteration
                     remaining_items = list(unclosed_item_ids)
                     for item_id in remaining_items:
-                        if (item_id in unclosed_item_ids and
-                                item_id in item_id_to_streaming_context):
-                            streaming_context = (
-                                item_id_to_streaming_context[item_id]
-                            )
-
-                            # Don't close streaming contexts for text or reasoning
-                            # They should just end with their last delta
-                            if not isinstance(streaming_context.task_message.content, (TextContent, ReasoningContent)):
-                                await streaming_context.close()
-                                unclosed_item_ids.discard(item_id)
+                        if (
+                            item_id in unclosed_item_ids and item_id in item_id_to_streaming_context
+                        ):  # Check if still unclosed
+                            streaming_context = item_id_to_streaming_context[item_id]
+                            await streaming_context.close()
+                            unclosed_item_ids.discard(item_id)
 
                 if span:
                     span.output = {

From ebf1070cce99edb0e46a653b440345f6b149401c Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Wed, 1 Oct 2025 17:20:14 -0700
Subject: [PATCH 11/12] Dev notebook

---
 .../10_temporal/010_agent_chat/dev.ipynb      | 1453 ++++++++++++++---
 1 file changed, 1222 insertions(+), 231 deletions(-)

diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
index 0768b5f2..0875ca35 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
@@ -32,7 +32,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Task(id='197f2eea-1dae-4107-8f7e-890989d8fa9c', created_at=datetime.datetime(2025, 10, 1, 23, 59, 53, 130494, tzinfo=TzInfo(UTC)), name='a6efd0ee-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 1, 23, 59, 53, 130494, tzinfo=TzInfo(UTC)))\n"
+      "Task(id='e5333f10-5fe2-4862-8c89-7b422e27a471', created_at=datetime.datetime(2025, 10, 2, 0, 17, 9, 695914, tzinfo=TzInfo(UTC)), name='ffba53be-task', params={}, status='RUNNING', status_reason='Task created, forwarding to ACP server', task_metadata=None, updated_at=datetime.datetime(2025, 10, 2, 0, 17, 9, 695914, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -62,7 +62,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Event(id='edbed4c7-2e74-4db3-a92d-225af5f566fe', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=130, task_id='197f2eea-1dae-4107-8f7e-890989d8fa9c', content=TextContent(author='user', content='Tell me about recent AI news for today only.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 1, 23, 59, 53, 175465, tzinfo=TzInfo(UTC)))\n"
+      "Event(id='76ab0b9a-b107-4199-a5f6-31315dc43ee2', agent_id='2f4d3b3d-6a59-46ff-993e-afd6c1f1c7ab', sequence_id=131, task_id='e5333f10-5fe2-4862-8c89-7b422e27a471', content=TextContent(author='user', content='Tell me about recent AI news for today only.', attachments=None, format='plain', style='static', type='text'), created_at=datetime.datetime(2025, 10, 2, 0, 17, 9, 776113, tzinfo=TzInfo(UTC)))\n"
      ]
     }
    ],
@@ -98,13 +98,13 @@
     {
      "data": {
       "text/html": [
-       "
╭───────────────────────── USER [10/01/2025 23:59:53] ─────────────────────────╮\n",
+       "
╭───────────────────────── USER [10/02/2025 00:17:09] ─────────────────────────╮\n",
        "│ Tell me about recent AI news for today only.                                 │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/01/2025 23:59:53] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
+       "\u001b[96m╭─\u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m \u001b[0m\u001b[1;96mUSER\u001b[0m\u001b[96m [10/02/2025 00:17:09] \u001b[0m\u001b[96m────────────────────────\u001b[0m\u001b[96m─╮\u001b[0m\n",
        "\u001b[96m│\u001b[0m Tell me about recent AI news for today only.                                 \u001b[96m│\u001b[0m\n",
        "\u001b[96m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
@@ -122,32 +122,32 @@
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/02/2025 00:00:01] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:17:13] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Searching for recent AI news                                                 │\n",
+       "│ Searching for AI news                                                        │\n",
        "│                                                                              │\n",
-       "│ The user is asking for recent news about AI today, specifically for October  │\n",
-       "│ 1, 2025. I need to use the web search tool to fetch this information. My     │\n",
-       "│ search query will be \"AI news October 1 2025.\" I’ll ensure to use the        │\n",
-       "│ correct model settings and specify the context for the search. Once I gather │\n",
-       "│ the results, I will provide a concise summary along with sources and links   │\n",
-       "│ for the user.                                                                │\n",
+       "│ The user wants an update on recent AI news specifically for today, October   │\n",
+       "│ 2, 2025. I’ll use the web search tool to find this information quickly,      │\n",
+       "│ aiming for outlets that are major or well-known. I plan to use a query like  │\n",
+       "│ \"AI news October 2 2025\" or \"AI news today October 2 2025\". It’ll help to    │\n",
+       "│ set the search context size high to ensure thorough coverage on this topic.  │\n",
+       "│ Let's go ahead and get this done!                                            │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:00:01] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:17:13] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mSearching for recent AI news\u001b[0m                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mSearching for AI news\u001b[0m                                                        \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The user is asking for recent news about AI today, specifically for October  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m 1, 2025. I need to use the web search tool to fetch this information. My     \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m search query will be \"AI news October 1 2025.\" I’ll ensure to use the        \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m correct model settings and specify the context for the search. Once I gather \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m the results, I will provide a concise summary along with sources and links   \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m for the user.                                                                \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m The user wants an update on recent AI news specifically for today, October   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 2, 2025. I’ll use the web search tool to find this information quickly,      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m aiming for outlets that are major or well-known. I plan to use a query like  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \"AI news October 2 2025\" or \"AI news today October 2 2025\". It’ll help to    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m set the search context size high to ensure thorough coverage on this topic.  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Let's go ahead and get this done!                                            \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -164,36 +164,44 @@
     {
      "data": {
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-       "
╭──────────────────────── AGENT [10/02/2025 00:00:03] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:17:16] ─────────────────────────╮\n",
        "│ 🔧 Tool Request: openai_web_search                                           │\n",
        "│                                                                              │\n",
        "│ Arguments:                                                                   │\n",
        "│                                                                              │\n",
        "│                                                                              │\n",
        "│  {                                                                           │\n",
-       "│    \"input\": \"AI news October 1 2025\",                                        │\n",
-       "│    \"model\": \"gpt-5-mini\",                                                    │\n",
-       "│    \"reasoning_effort\": \"low\",                                                │\n",
-       "│    \"type\": \"web_search_preview_2025_03_11\",                                  │\n",
-       "│    \"search_context_size\": \"medium\"                                           │\n",
+       "│    \"arguments\": \"{\\\"input\\\":\\\"AI news October 2 2025 or 'today' Oct 2 2025   │\n",
+       "│  major AI                                                                    │\n",
+       "│  announcements\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"ty  │\n",
+       "│  \\\":\\\"web_search_preview\\\",\\\"search_context_size\\\":\\\"high\\\"}\",               │\n",
+       "│    \"call_id\": \"call_tKw9WT0BYQyCqEcgJ2rNjoy3\",                               │\n",
+       "│    \"name\": \"openai_web_search\",                                              │\n",
+       "│    \"type\": \"function_call\",                                                  │\n",
+       "│    \"id\": \"fc_021a54d0dc6d53340068ddc48d04c481a393f03e37e300827e\",            │\n",
+       "│    \"status\": \"completed\"                                                     │\n",
        "│  }                                                                           │\n",
        "│                                                                              │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
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+       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [10/02/2025 00:17:16] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
        "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: openai_web_search\u001b[0m                                           \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m \u001b[1mArguments:\u001b[0m                                                                   \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
        "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
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        "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
        "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
@@ -212,7 +220,7 @@
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/02/2025 00:00:29] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:17:34] ─────────────────────────╮\n",
        "│ ✅ Tool Response: openai_web_search                                          │\n",
        "│                                                                              │\n",
        "│ Response:                                                                    │\n",
@@ -220,49 +228,47 @@
        "│                                                                              │\n",
        "│  {                                                                           │\n",
        "│    \"type\": \"text\",                                                           │\n",
-       "│    \"text\": \"Here are the main AI-related headlines from October 1, 2025      │\n",
-       "│  (brief summary + sources). Want more depth on any of these? Tell me which   │\n",
-       "│  one.\\n\\n- Microsoft launches Microsoft 365 Premium (with Copilot integrate  │\n",
-       "│  for individuals) \\u2014 Microsoft announced a $19.99/month individual plan  │\n",
-       "│  that bundles Copilot across Office apps, adds higher Copilot usage limits   │\n",
-       "│  and exclusive AI features (Researcher, Analyst, Actions), 1 TB cloud        │\n",
-       "│  storage, and Defender advanced security; Microsoft will retire Copilot Pro  │\n",
-       "│  and encourage migration to the new Premium plan.                            │\n",
+       "│    \"text\": \"Here are the major AI-related announcements and headlines aroun  │\n",
+       "│  today (October 2, 2025). I focused on the biggest product, infrastructure,  │\n",
+       "│  and partnership news; sources are listed after each item.\\n\\n- Microsoft    │\n",
+       "│  launches Microsoft 365 Premium (Copilot-integrated) for individuals \\u2014  │\n",
+       "│  new $19.99/month plan that bundles Copilot across Outlook/Word/Excel, rais  │\n",
+       "│  Copilot usage limits for some existing Personal/Family customers, and       │\n",
+       "│  replaces Copilot Pro. (Reported Oct 1\\u20132, 2025).                        │\n",
        "│  ([reuters.com](https://www.reuters.com/technology/microsoft-launches-ai-po  │\n",
        "│  red-365-premium-bundle-1999-per-month-2025-10-01/?utm_source=openai))\\n\\n-  │\n",
-       "│  Google rolls out \\u201cGemini for Home\\u201d (major upgrade to Google       │\n",
-       "│  Assistant / Nest) \\u2014 Gemini replaces Google Assistant on Google and Ne  │\n",
-       "│  smart speakers (back to original Google Home), adds more                    │\n",
-       "│  conversational/context-aware voice capabilities, new voices, support for    │\n",
-       "│  multiple household profiles, and a premium \\u201cGemini Live\\u201d          │\n",
-       "│  experience tied to a Google Home Premium subscription. Early Access began   │\n",
-       "│  October 1, with wider rollout planned later.                                │\n",
-       "│  ([theverge.com](https://www.theverge.com/tech/788102/gemini-for-home-new-g  │\n",
-       "│  gle-assistant-launch-date-price-features?utm_source=openai))\\n\\n- OpenAI    │\n",
-       "│  announces supply agreements/partnerships to support its \\u201cStargate\\u20  │\n",
-       "│  infrastructure \\u2014 reporting says OpenAI has deals with Samsung and SK   │\n",
-       "│  Hynix for memory chips and is planning expanded data-center capacity in     │\n",
-       "│  South Korea to support its large-scale model infrastructure.                │\n",
-       "│  ([theverge.com](https://www.theverge.com/news/789687/openai-samsung-starga  │\n",
-       "│  -chips?utm_source=openai))\\n\\n- U.S. federal government shutdown begins (O  │\n",
-       "│  1) \\u2014 the federal shutdown that started October 1, 2025, has furloughe  │\n",
-       "│  many federal employees and affected agency operations; several public-heal  │\n",
-       "│  and research agencies face partial or full suspensions, which could disrup  │\n",
-       "│  government-funded AI research, grant processing, and collaboration program  │\n",
-       "│  (context: shutdown took effect Oct 1).                                      │\n",
-       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_United_States_feder  │\n",
-       "│  _government_shutdown?utm_source=openai))\\n\\n- AI-generated / AI-directed    │\n",
-       "│  film teaser released \\u2014 an AI-directed feature (reported as the first   │\n",
-       "│  full-length AI-generated film) released its first teaser on October 1,      │\n",
-       "│  drawing attention to AI-created media and related debates over credits,     │\n",
-       "│  copyright, and \\u201cAI actors.\\u201d                                       │\n",
-       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/The_Sweet_Idleness?utm_s  │\n",
-       "│  rce=openai))\\n\\nNotes and next steps\\n- I focused on the biggest, widely    │\n",
-       "│  reported items from Oct 1. I can: (a) expand any story into more detail     │\n",
-       "│  (policy, technical, market impact), (b) fetch additional articles or        │\n",
-       "│  reactions (e.g., industry statements or analyst takes), or (c) do a tailor  │\n",
-       "│  roundup for developers, business leaders, or creators on how these items    │\n",
-       "│  affect them. Which would you like?\",                                        │\n",
+       "│  OpenAI announces expanded Stargate partnerships in South Korea with Samsun  │\n",
+       "│  and SK (memory and data\\u2011center collaboration) as part of its large     │\n",
+       "│  \\u201cStargate\\u201d infrastructure push and related global datacenter      │\n",
+       "│  plans. (Reported Oct 2, 2025).                                              │\n",
+       "│  ([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?  │\n",
+       "│  m_source=openai))\\n\\n- Google launches new Nest cameras and a redesigned    │\n",
+       "│  Google Home app built for Gemini for Home, introducing Gemini-integrated    │\n",
+       "│  home features (descriptive alerts, \\u201cHome Brief,\\u201d Ask Home chatbo  │\n",
+       "│  and new subscription tiers. (Reported Oct 1\\u20132, 2025).                  │\n",
+       "│  ([theverge.com](https://www.theverge.com/news/789412/new-nest-cams-nest-do  │\n",
+       "│  bell-launch-price-specs-release-date?utm_source=openai))\\n\\n- NVIDIA        │\n",
+       "│  continues major infrastructure/product rollouts: recent announcements arou  │\n",
+       "│  Rubin CPX (GPU class for massive-context inference), Dynamo                 │\n",
+       "│  inference-serving software, Blackwell Ultra/AI Factory platform, and        │\n",
+       "│  availability plans for AI foundation models on RTX AI PCs \\u2014 signaling  │\n",
+       "│  heavy pushes on inference scale, large-context models, and on\\u2011device   │\n",
+       "│  for creators/enterprises. (Company releases Sept\\u2013Oct 2025).            │\n",
+       "│  ([investor.nvidia.com](https://investor.nvidia.com/news/press-release-deta  │\n",
+       "│  s/2025/NVIDIA-Unveils-Rubin-CPX-A-New-Class-of-GPU-Designed-for-Massive-Co  │\n",
+       "│  ext-Inference/default.aspx?utm_source=openai))\\n\\n- Industry events /       │\n",
+       "│  company summits with product demos and roadmaps: OpenAI DevDay scheduled O  │\n",
+       "│  6, 2025 (preview teasers and DevDay announcements expected), and Anthropic  │\n",
+       "│  held a London Builder Summit Oct 1 with demos of Claude and discussions of  │\n",
+       "│  autonomous-agent work. These events are driving near-term product and       │\n",
+       "│  developer announcements.                                                    │\n",
+       "│  ([openai.com](https://openai.com/index/announcing-devday-2025/?utm_source=  │\n",
+       "│  enai))\\n\\nIf you want, I can:\\n- Pull full articles and timelines for any   │\n",
+       "│  the items above (e.g., full Reuters/AP/Verge/NVIDIA coverage).\\n- Summariz  │\n",
+       "│  the expected user impact, pricing, or migration steps (e.g., what Microsof  │\n",
+       "│  365 Premium means if you\\u2019re a Copilot Pro or Personal subscriber).\\n-  │\n",
+       "│  Track other outlets for any breaking follow-ups today (Oct 2,               │\n",
+       "│  2025).\\n\\nWhich of these would you like more detail on?\",                   │\n",
        "│    \"annotations\": null,                                                      │\n",
        "│    \"meta\": null                                                              │\n",
        "│  }                                                                           │\n",
@@ -271,7 +277,7 @@
        "
\n"
       ],
       "text/plain": [
-       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:00:29] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
+       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:17:34] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
        "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: openai_web_search\u001b[0m                                          \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
@@ -279,49 +285,982 @@
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Here are the main AI-related headlines from October 1, 2025 \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(brief summary + sources). Want more depth on any of these? Tell me which \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mone.\\n\\n- Microsoft launches Microsoft 365 Premium (with Copilot integrate\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfor individuals) \\u2014 Microsoft announced a $19.99/month individual plan\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthat bundles Copilot across Office apps, adds higher Copilot usage limits \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand exclusive AI features (Researcher, Analyst, Actions), 1 TB cloud \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstorage, and Defender advanced security; Microsoft will retire Copilot Pro\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand encourage migration to the new Premium plan. \u001b[0m\u001b[48;2;39;40;34m                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Here are the major AI-related announcements and headlines aroun\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtoday (October 2, 2025). I focused on the biggest product, infrastructure,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand partnership news; sources are listed after each item.\\n\\n- Microsoft \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlaunches Microsoft 365 Premium (Copilot-integrated) for individuals \\u2014\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mnew $19.99/month plan that bundles Copilot across Outlook/Word/Excel, rais\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCopilot usage limits for some existing Personal/Family customers, and \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreplaces Copilot Pro. (Reported Oct 1\\u20132, 2025). \u001b[0m\u001b[48;2;39;40;34m                     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/technology/microsoft-launches-ai-po\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mred-365-premium-bundle-1999-per-month-2025-10-01/?utm_source=openai))\\n\\n-\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mGoogle rolls out \\u201cGemini for Home\\u201d (major upgrade to Google \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAssistant / Nest) \\u2014 Gemini replaces Google Assistant on Google and Ne\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msmart speakers (back to original Google Home), adds more \u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mconversational/context-aware voice capabilities, new voices, support for \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmultiple household profiles, and a premium \\u201cGemini Live\\u201d \u001b[0m\u001b[48;2;39;40;34m       \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mexperience tied to a Google Home Premium subscription. Early Access began \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOctober 1, with wider rollout planned later. \u001b[0m\u001b[48;2;39;40;34m                             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([theverge.com](https://www.theverge.com/tech/788102/gemini-for-home-new-g\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgle-assistant-launch-date-price-features?utm_source=openai))\\n\\n- OpenAI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mannounces supply agreements/partnerships to support its \\u201cStargate\\u20\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minfrastructure \\u2014 reporting says OpenAI has deals with Samsung and SK \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mHynix for memory chips and is planning expanded data-center capacity in \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSouth Korea to support its large-scale model infrastructure. \u001b[0m\u001b[48;2;39;40;34m             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([theverge.com](https://www.theverge.com/news/789687/openai-samsung-starga\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-chips?utm_source=openai))\\n\\n- U.S. federal government shutdown begins (O\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m1) \\u2014 the federal shutdown that started October 1, 2025, has furloughe\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmany federal employees and affected agency operations; several public-heal\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand research agencies face partial or full suspensions, which could disrup\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgovernment-funded AI research, grant processing, and collaboration program\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(context: shutdown took effect Oct 1). \u001b[0m\u001b[48;2;39;40;34m                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/2025_United_States_feder\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m_government_shutdown?utm_source=openai))\\n\\n- AI-generated / AI-directed \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfilm teaser released \\u2014 an AI-directed feature (reported as the first \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfull-length AI-generated film) released its first teaser on October 1, \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdrawing attention to AI-created media and related debates over credits, \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcopyright, and \\u201cAI actors.\\u201d \u001b[0m\u001b[48;2;39;40;34m                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOpenAI announces expanded Stargate partnerships in South Korea with Samsun\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand SK (memory and data\\u2011center collaboration) as part of its large \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\\u201cStargate\\u201d infrastructure push and related global datacenter \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mplans. (Reported Oct 2, 2025). \u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mm_source=openai))\\n\\n- Google launches new Nest cameras and a redesigned \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mGoogle Home app built for Gemini for Home, introducing Gemini-integrated \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mhome features (descriptive alerts, \\u201cHome Brief,\\u201d Ask Home chatbo\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand new subscription tiers. (Reported Oct 1\\u20132, 2025). \u001b[0m\u001b[48;2;39;40;34m               \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([theverge.com](https://www.theverge.com/news/789412/new-nest-cams-nest-do\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mbell-launch-price-specs-release-date?utm_source=openai))\\n\\n- NVIDIA \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcontinues major infrastructure/product rollouts: recent announcements arou\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mRubin CPX (GPU class for massive-context inference), Dynamo \u001b[0m\u001b[48;2;39;40;34m              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minference-serving software, Blackwell Ultra/AI Factory platform, and \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mavailability plans for AI foundation models on RTX AI PCs \\u2014 signaling\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mheavy pushes on inference scale, large-context models, and on\\u2011device \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfor creators/enterprises. (Company releases Sept\\u2013Oct 2025). \u001b[0m\u001b[48;2;39;40;34m         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([investor.nvidia.com](https://investor.nvidia.com/news/press-release-deta\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34ms/2025/NVIDIA-Unveils-Rubin-CPX-A-New-Class-of-GPU-Designed-for-Massive-Co\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mext-Inference/default.aspx?utm_source=openai))\\n\\n- Industry events / \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcompany summits with product demos and roadmaps: OpenAI DevDay scheduled O\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m6, 2025 (preview teasers and DevDay announcements expected), and Anthropic\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mheld a London Builder Summit Oct 1 with demos of Claude and discussions of\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mautonomous-agent work. These events are driving near-term product and \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdeveloper announcements. \u001b[0m\u001b[48;2;39;40;34m                                                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([openai.com](https://openai.com/index/announcing-devday-2025/?utm_source=\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34menai))\\n\\nIf you want, I can:\\n- Pull full articles and timelines for any \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthe items above (e.g., full Reuters/AP/Verge/NVIDIA coverage).\\n- Summariz\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthe expected user impact, pricing, or migration steps (e.g., what Microsof\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m365 Premium means if you\\u2019re a Copilot Pro or Personal subscriber).\\n-\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mTrack other outlets for any breaking follow-ups today (Oct 2, \u001b[0m\u001b[48;2;39;40;34m            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m2025).\\n\\nWhich of these would you like more detail on?\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:17:37] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Ensuring news accuracy                                                       │\n",
+       "│                                                                              │\n",
+       "│ I found a summary that included items from both October 1 and 2, but since   │\n",
+       "│ the user specifically asked for news from October 2, I'm needing to clarify  │\n",
+       "│ that. The summary flagged items related to OpenAI partnerships specifically  │\n",
+       "│ from October 2, while Microsoft and Google Nest news fell within the range   │\n",
+       "│ of October 1–2. To refine this, I should run a new search focused on         │\n",
+       "│ \"October 2, 2025 AI news\" for accuracy. Let’s go for high-context results!   │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:17:37] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mEnsuring news accuracy\u001b[0m                                                       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I found a summary that included items from both October 1 and 2, but since   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the user specifically asked for news from October 2, I'm needing to clarify  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m that. The summary flagged items related to OpenAI partnerships specifically  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m from October 2, while Microsoft and Google Nest news fell within the range   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m of October 1–2. To refine this, I should run a new search focused on         \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \"October 2, 2025 AI news\" for accuracy. Let’s go for high-context results!   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:17:39] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: openai_web_search                                           │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"arguments\": \"{\\\"input\\\":\\\"October 2 2025 AI news \\\\\\\"Oct 2\\\\\\\" 2025 'AI  │\n",
+       "│  'October 2, 2025'                                                           │\n",
+       "│  headlines\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type\\\"  │\n",
+       "│  \"web_search_preview\\\",\\\"search_context_size\\\":\\\"high\\\"}\",                   │\n",
+       "│    \"call_id\": \"call_yPkg4tWTQozDGti1938f9WNV\",                               │\n",
+       "│    \"name\": \"openai_web_search\",                                              │\n",
+       "│    \"type\": \"function_call\",                                                  │\n",
+       "│    \"id\": \"fc_021a54d0dc6d53340068ddc4a4413881a3a6b57998c7e7a360\",            │\n",
+       "│    \"status\": \"completed\"                                                     │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [10/02/2025 00:17:39] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
+       "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: openai_web_search\u001b[0m                                           \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[1mArguments:\u001b[0m                                                                   \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"arguments\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"{\\\"input\\\":\\\"October 2 2025 AI news \\\\\\\"Oct 2\\\\\\\" 2025 'AI\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m'October 2, 2025' \u001b[0m\u001b[48;2;39;40;34m                                                        \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mheadlines\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type\\\"\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"web_search_preview\\\",\\\"search_context_size\\\":\\\"high\\\"}\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"call_id\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"call_yPkg4tWTQozDGti1938f9WNV\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"name\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"openai_web_search\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"function_call\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"id\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"fc_021a54d0dc6d53340068ddc4a4413881a3a6b57998c7e7a360\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m          \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"status\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"completed\"\u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:17:55] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: openai_web_search                                          │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Here are major AI-related headlines for October 2, 2025 (Oct 2,  │\n",
+       "│  2025), with one-line summaries and sources:\\n\\n1) Meta to use AI-chatbot    │\n",
+       "│  conversations to target ads and content (policy announced; rollout details  │\n",
+       "│  and exclusions described).                                                  │\n",
+       "│  ([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co  │\n",
+       "│  ersations-to-target-ads-291093d3?utm_source=openai))\\n\\n2) OpenAI launches  │\n",
+       "│  Sora (generative-AI short-video app) and debuts an upgraded generative vid  │\n",
+       "│  model; also rolls out a ChatGPT shopping feature (starts with Etsy sellers  │\n",
+       "│  ([sfgate.com](https://www.sfgate.com/tech/article/openai-takes-on-google-m  │\n",
+       "│  a-21076572.php?utm_source=openai))\\n\\n3) New AI-directed feature film \\\"Th  │\n",
+       "│  Sweet Idleness\\\" (claimed as first feature-length AI-generated film) tease  │\n",
+       "│  trailer release.                                                            │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/The_Sweet_Idleness?utm_s  │\n",
+       "│  rce=openai))\\n\\n4) Reports of Elon Musk / xAI creating an AI-only software  │\n",
+       "│  company (projected to simulate traditional software firms) \\u2014 coverage  │\n",
+       "│  and industry reaction.                                                      │\n",
+       "│  ([fladgate.com](https://www.fladgate.com/insights/ai-round-up-october-2025  │\n",
+       "│  tm_source=openai))\\n\\n5) Ongoing international/regulatory moves: continued  │\n",
+       "│  reporting on AI governance (Framework Convention on AI, national executive  │\n",
+       "│  actions and proposed U.S. AI bills discussed in recent coverage).           │\n",
+       "│  ([en.wikipedia.org](https://en.wikipedia.org/wiki/Framework_Convention_on_  │\n",
+       "│  tificial_Intelligence?utm_source=openai))\\n\\nIf you\\u2019d like, I can:\\n-  │\n",
+       "│  Expand any headline into a short summary (2\\u20134 paragraphs) with         │\n",
+       "│  additional sources.\\n- Provide links to the full articles or a timeline of  │\n",
+       "│  Oct 2 coverage.\\n- Filter headlines by topic (policy, industry product      │\n",
+       "│  launches, legal, entertainment).\",                                          │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:17:55] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
+       "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: openai_web_search\u001b[0m                                          \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Here are major AI-related headlines for October 2, 2025 (Oct 2,\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m2025), with one-line summaries and sources:\\n\\n1) Meta to use AI-chatbot \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mconversations to target ads and content (policy announced; rollout details\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand exclusions described). \u001b[0m\u001b[48;2;39;40;34m                                               \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mersations-to-target-ads-291093d3?utm_source=openai))\\n\\n2) OpenAI launches\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSora (generative-AI short-video app) and debuts an upgraded generative vid\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmodel; also rolls out a ChatGPT shopping feature (starts with Etsy sellers\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([sfgate.com](https://www.sfgate.com/tech/article/openai-takes-on-google-m\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34ma-21076572.php?utm_source=openai))\\n\\n3) New AI-directed feature film \\\"Th\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSweet Idleness\\\" (claimed as first feature-length AI-generated film) tease\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtrailer release. \u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/The_Sweet_Idleness?utm_s\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrce=openai))\\n\\nNotes and next steps\\n- I focused on the biggest, widely \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreported items from Oct 1. I can: (a) expand any story into more detail \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(policy, technical, market impact), (b) fetch additional articles or \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreactions (e.g., industry statements or analyst takes), or (c) do a tailor\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mroundup for developers, business leaders, or creators on how these items \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
-       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34maffect them. Which would you like?\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrce=openai))\\n\\n4) Reports of Elon Musk / xAI creating an AI-only software\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcompany (projected to simulate traditional software firms) \\u2014 coverage\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand industry reaction. \u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([fladgate.com](https://www.fladgate.com/insights/ai-round-up-october-2025\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtm_source=openai))\\n\\n5) Ongoing international/regulatory moves: continued\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreporting on AI governance (Framework Convention on AI, national executive\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mactions and proposed U.S. AI bills discussed in recent coverage). \u001b[0m\u001b[48;2;39;40;34m        \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([en.wikipedia.org](https://en.wikipedia.org/wiki/Framework_Convention_on_\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtificial_Intelligence?utm_source=openai))\\n\\nIf you\\u2019d like, I can:\\n-\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mExpand any headline into a short summary (2\\u20134 paragraphs) with \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34madditional sources.\\n- Provide links to the full articles or a timeline of\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mOct 2 coverage.\\n- Filter headlines by topic (policy, industry product \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlaunches, legal, entertainment).\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                        \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n",
+      "                        \n",
+      "                        \n",
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:18:10] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Confirming AI news dates                                                     │\n",
+       "│                                                                              │\n",
+       "│ I’m considering the upcoming events like the Anthropic London Builder Summit │\n",
+       "│ and OpenAI DevDay, but since they’re not specifically Oct 2 news, I think    │\n",
+       "│ it’s best to skip them. There’s also a report about an AI-generated film     │\n",
+       "│ teaser that seems weaker, so I’ll avoid including that. I want to focus on   │\n",
+       "│ providing 3-4 solid items from reliable sources like AP, WSJ, and SFGate.    │\n",
+       "│ I’ll run searches to verify each article's date by using web search to check │\n",
+       "│ the headlines specifically for Oct 2!                                        │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:18:10] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mConfirming AI news dates\u001b[0m                                                     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’m considering the upcoming events like the Anthropic London Builder Summit \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m and OpenAI DevDay, but since they’re not specifically Oct 2 news, I think    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m it’s best to skip them. There’s also a report about an AI-generated film     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m teaser that seems weaker, so I’ll avoid including that. I want to focus on   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m providing 3-4 solid items from reliable sources like AP, WSJ, and SFGate.    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’ll run searches to verify each article's date by using web search to check \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the headlines specifically for Oct 2!                                        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:18:13] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: openai_web_search                                           │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"arguments\": \"{\\\"input\\\":\\\"Meta will begin using AI chatbot conversation  │\n",
+       "│  to target ads WSJ October 2                                                 │\n",
+       "│  2025\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type\\\":\\\"we  │\n",
+       "│  search_preview\\\",\\\"search_context_size\\\":\\\"high\\\"}\",                        │\n",
+       "│    \"call_id\": \"call_Gf1YdPUxylTVI6pvznxqX0Si\",                               │\n",
+       "│    \"name\": \"openai_web_search\",                                              │\n",
+       "│    \"type\": \"function_call\",                                                  │\n",
+       "│    \"id\": \"fc_021a54d0dc6d53340068ddc4c5d2e481a3a52d44867b4e838b\",            │\n",
+       "│    \"status\": \"completed\"                                                     │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [10/02/2025 00:18:13] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
+       "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: openai_web_search\u001b[0m                                           \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[1mArguments:\u001b[0m                                                                   \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"arguments\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"{\\\"input\\\":\\\"Meta will begin using AI chatbot conversation\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mto target ads WSJ October 2 \u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m2025\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type\\\":\\\"we\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
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+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"call_id\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"call_Gf1YdPUxylTVI6pvznxqX0Si\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"name\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"openai_web_search\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
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+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:18:27] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: openai_web_search                                          │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Yes \\u2014 several outlets (including The Wall Street Journal)   │\n",
+       "│  report that Meta announced it will begin using users\\u2019 conversations    │\n",
+       "│  with its AI assistant to personalize ads and content. Key points:\\n\\n- Wha  │\n",
+       "│  Meta announced: interactions with Meta AI (text and voice) will be added t  │\n",
+       "│  the signals Meta uses to personalize feeds and ads across Facebook,         │\n",
+       "│  Instagram and other Meta apps.                                              │\n",
+       "│  ([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co  │\n",
+       "│  ersations-to-target-ads-291093d3?utm_source=openai))  \\n- When it starts:   │\n",
+       "│  Meta will notify users beginning October 7, 2025, and the change takes      │\n",
+       "│  effect on December 16, 2025. Conversations before December 16 won\\u2019t b  │\n",
+       "│  used.                                                                       │\n",
+       "│  ([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co  │\n",
+       "│  ersations-to-target-ads-291093d3?utm_source=openai))  \\n- Opt-out and scop  │\n",
+       "│  Users reportedly will not be able to opt out of using AI-chat data for      │\n",
+       "│  personalization; the change applies only to people who use Meta AI. Meta    │\n",
+       "│  says it will exclude certain \\u201csensitive\\u201d topics (examples listed  │\n",
+       "│  include politics, religion, sexual orientation, health, race) from being    │\n",
+       "│  used for ad targeting. The rollout initially excludes the U.K., the EU and  │\n",
+       "│  South Korea.                                                                │\n",
+       "│  ([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co  │\n",
+       "│  ersations-to-target-ads-291093d3?utm_source=openai))  \\n- Why: Meta frames  │\n",
+       "│  this as part of funding and improving its AI/assistant strategy and making  │\n",
+       "│  recommendations more personalized; the company has large ad revenues and    │\n",
+       "│  many monthly Meta AI users.                                                 │\n",
+       "│  ([reuters.com](https://www.reuters.com/business/media-telecom/meta-use-ai-  │\n",
+       "│  ats-personalize-content-ads-december-2025-10-01/?utm_source=openai))\\n\\nIf  │\n",
+       "│  you want, I can:\\n- Pull the full WSJ article and quote the most relevant   │\n",
+       "│  passages (with source citation), or  \\n- Summarize differences in how majo  │\n",
+       "│  outlets are reporting this (WSJ vs. Reuters vs. Bloomberg), or  \\n- Explai  │\n",
+       "│  privacy implications and practical steps you can take (e.g., stop using Me  │\n",
+       "│  AI, adjust ad preferences, limit cross-account linking). Which would you    │\n",
+       "│  prefer?\",                                                                   │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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+       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:18:27] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
+       "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: openai_web_search\u001b[0m                                          \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
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+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Yes \\u2014 several outlets (including The Wall Street Journal) \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreport that Meta announced it will begin using users\\u2019 conversations \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mwith its AI assistant to personalize ads and content. Key points:\\n\\n- Wha\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mMeta announced: interactions with Meta AI (text and voice) will be added t\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthe signals Meta uses to personalize feeds and ads across Facebook, \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mInstagram and other Meta apps. \u001b[0m\u001b[48;2;39;40;34m                                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mersations-to-target-ads-291093d3?utm_source=openai))  \\n- When it starts: \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mMeta will notify users beginning October 7, 2025, and the change takes \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34meffect on December 16, 2025. Conversations before December 16 won\\u2019t b\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mused. \u001b[0m\u001b[48;2;39;40;34m                                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mersations-to-target-ads-291093d3?utm_source=openai))  \\n- Opt-out and scop\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mUsers reportedly will not be able to opt out of using AI-chat data for \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mpersonalization; the change applies only to people who use Meta AI. Meta \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msays it will exclude certain \\u201csensitive\\u201d topics (examples listed\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minclude politics, religion, sexual orientation, health, race) from being \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mused for ad targeting. The rollout initially excludes the U.K., the EU and\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSouth Korea. \u001b[0m\u001b[48;2;39;40;34m                                                             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([wsj.com](https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-co\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mersations-to-target-ads-291093d3?utm_source=openai))  \\n- Why: Meta frames\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthis as part of funding and improving its AI/assistant strategy and making\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrecommendations more personalized; the company has large ad revenues and \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmany monthly Meta AI users. \u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/business/media-telecom/meta-use-ai-\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mats-personalize-content-ads-december-2025-10-01/?utm_source=openai))\\n\\nIf\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34myou want, I can:\\n- Pull the full WSJ article and quote the most relevant \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mpassages (with source citation), or  \\n- Summarize differences in how majo\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34moutlets are reporting this (WSJ vs. Reuters vs. Bloomberg), or  \\n- Explai\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
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+       "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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╭──────────────────────── AGENT [10/02/2025 00:18:29] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: openai_web_search                                           │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"arguments\": \"{\\\"input\\\":\\\"OpenAI Sora generative short-video app 'Sora'  │\n",
+       "│  launch October 2 2025 SFGate OpenAI generative video model ChatGPT shoppin  │\n",
+       "│  Etsy Oct 2                                                                  │\n",
+       "│  2025\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type\\\":\\\"we  │\n",
+       "│  search_preview\\\",\\\"search_context_size\\\":\\\"high\\\"}\",                        │\n",
+       "│    \"call_id\": \"call_uW4nB1OU4OkqRFJXTnjiDIfl\",                               │\n",
+       "│    \"name\": \"openai_web_search\",                                              │\n",
+       "│    \"type\": \"function_call\",                                                  │\n",
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+       "│    \"status\": \"completed\"                                                     │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
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+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"arguments\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"{\\\"input\\\":\\\"OpenAI Sora generative short-video app 'Sora'\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
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+       "
╭──────────────────────── AGENT [10/02/2025 00:18:48] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: openai_web_search                                          │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Looks like you\\u2019re referencing two related OpenAI            │\n",
+       "│  announcements today (October 2, 2025). Here\\u2019s a short, sourced summar  │\n",
+       "│  and what I could confirm:\\n\\n- OpenAI launched a new short-video / social   │\n",
+       "│  app called Sora (invite-only, iOS) that uses its Sora video model (Sora 2)  │\n",
+       "│  to generate short videos with synchronized audio, \\u201ccameo\\u201d likene  │\n",
+       "│  features, and feed-style sharing. Multiple outlets reported the rollout     │\n",
+       "│  on/around Oct 1\\u20132, 2025.                                               │\n",
+       "│  ([macrumors.com](https://www.macrumors.com/2025/09/30/openai-sora-ai-video  │\n",
+       "│  pp/?utm_source=openai))\\n\\n- Separately (and related to ChatGPT), OpenAI    │\n",
+       "│  announced an Instant Checkout shopping feature in ChatGPT that initially    │\n",
+       "│  lets U.S. users buy single items from Etsy sellers directly inside ChatGPT  │\n",
+       "│  and will expand to many Shopify merchants. Etsy has a partnership page      │\n",
+       "│  explaining purchases through ChatGPT and CNBC/other outlets covered the     │\n",
+       "│  Instant Checkout announcement (late September / rolling into early October  │\n",
+       "│  2025).                                                                      │\n",
+       "│  ([help.etsy.com](https://help.etsy.com/hc/en-us/articles/34208252828695-Pu  │\n",
+       "│  hasing-Etsy-Items-Through-ChatGPT?utm_source=openai))\\n\\nNote about SFGate  │\n",
+       "│  I didn\\u2019t find an SFGate article in the searches I ran; major outlets   │\n",
+       "│  (MacRumors, CNBC, TechCrunch, Wired, Indian Express, Etsy\\u2019s own        │\n",
+       "│  help/news page) are reporting these items. If you want, I can specifically  │\n",
+       "│  search SFGate (or fetch any SFGate link) and pull that article for you.     │\n",
+       "│  Would you like me to do that or summarize anything in more detail (privacy  │\n",
+       "│  controls, \\u201ccameo\\u201d flow, Instant Checkout payment methods,         │\n",
+       "│  availability, etc.)?\",                                                      │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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+      ],
+      "text/plain": [
+       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:18:48] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
+       "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: openai_web_search\u001b[0m                                          \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Looks like you\\u2019re referencing two related OpenAI \u001b[0m\u001b[48;2;39;40;34m         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mannouncements today (October 2, 2025). Here\\u2019s a short, sourced summar\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand what I could confirm:\\n\\n- OpenAI launched a new short-video / social \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mapp called Sora (invite-only, iOS) that uses its Sora video model (Sora 2)\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mto generate short videos with synchronized audio, \\u201ccameo\\u201d likene\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfeatures, and feed-style sharing. Multiple outlets reported the rollout \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mon/around Oct 1\\u20132, 2025. \u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([macrumors.com](https://www.macrumors.com/2025/09/30/openai-sora-ai-video\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mpp/?utm_source=openai))\\n\\n- Separately (and related to ChatGPT), OpenAI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mannounced an Instant Checkout shopping feature in ChatGPT that initially \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlets U.S. users buy single items from Etsy sellers directly inside ChatGPT\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mand will expand to many Shopify merchants. Etsy has a partnership page \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mexplaining purchases through ChatGPT and CNBC/other outlets covered the \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mInstant Checkout announcement (late September / rolling into early October\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m2025). \u001b[0m\u001b[48;2;39;40;34m                                                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([help.etsy.com](https://help.etsy.com/hc/en-us/articles/34208252828695-Pu\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mhasing-Etsy-Items-Through-ChatGPT?utm_source=openai))\\n\\nNote about SFGate\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mI didn\\u2019t find an SFGate article in the searches I ran; major outlets \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(MacRumors, CNBC, TechCrunch, Wired, Indian Express, Etsy\\u2019s own \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mhelp/news page) are reporting these items. If you want, I can specifically\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msearch SFGate (or fetch any SFGate link) and pull that article for you. \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mWould you like me to do that or summarize anything in more detail (privacy\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcontrols, \\u201ccameo\\u201d flow, Instant Checkout payment methods, \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
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+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
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╭──────────────────────── AGENT [10/02/2025 00:18:50] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: openai_web_search                                           │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
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+       "│    \"arguments\": \"{\\\"input\\\":\\\"OpenAI Stargate partnerships South Korea       │\n",
+       "│  Samsung SK Oct 2 2025 AP News 'Stargate' Oct 2 2025 OpenAI South Korea      │\n",
+       "│  partnership\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type  │\n",
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+       "│    \"call_id\": \"call_VW52QZ6thugsAMWsvZe3SwfN\",                               │\n",
+       "│    \"name\": \"openai_web_search\",                                              │\n",
+       "│    \"type\": \"function_call\",                                                  │\n",
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+       "│    \"status\": \"completed\"                                                     │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
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+       "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: openai_web_search\u001b[0m                                           \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
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+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
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+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"id\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"fc_021a54d0dc6d53340068ddc4eaaf5081a39fac1af70f131d0d\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m          \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"status\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"completed\"\u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:07] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: openai_web_search                                          │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Yes \\u2014 OpenAI announced this partnership with major South    │\n",
+       "│  Korean firms at the start of October 2025. Short summary of the key points  │\n",
+       "│  (with sources):\\n\\n- What was announced: OpenAI signed letters of intent /  │\n",
+       "│  memoranda of understanding with Samsung Electronics and SK Group (includin  │\n",
+       "│  SK hynix and SK Telecom) to supply memory chips and explore data\\u2011cent  │\n",
+       "│  collaboration as part of OpenAI\\u2019s large \\u201cStargate\\u201d           │\n",
+       "│  infrastructure initiative.                                                  │\n",
+       "│  ([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?  │\n",
+       "│  m_source=openai))\\n\\n- Supply plans: Samsung and SK hynix are expected to   │\n",
+       "│  scale production of advanced memory (HBM/DRAM) to support Stargate, with    │\n",
+       "│  reports quoting demand estimates up to about 900,000 DRAM wafers per month  │\n",
+       "│  Specific delivery schedules and final contract volumes were not finalized   │\n",
+       "│  the announcements.                                                          │\n",
+       "│  ([reuters.com](https://www.reuters.com/business/media-telecom/samsung-sk-h  │\n",
+       "│  ix-supply-memory-chips-openais-stargate-project-2025-10-01/?utm_source=ope  │\n",
+       "│  i))\\n\\n- Data\\u2011center cooperation: OpenAI and SK Telecom signed an MOU  │\n",
+       "│  to explore building an AI data center in South Korea (referred to in        │\n",
+       "│  coverage as \\u201cStargate Korea\\u201d), and Samsung affiliates will explo  │\n",
+       "│  data\\u2011center technologies (including discussions reported about floati  │\n",
+       "│  data\\u2011center concepts).                                                 │\n",
+       "│  ([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?  │\n",
+       "│  m_source=openai))\\n\\n- Context / meetings: The public announcements follow  │\n",
+       "│  meetings in Seoul between OpenAI CEO Sam Altman, South Korean President Le  │\n",
+       "│  Jae\\u2011myung, and senior leaders of Samsung and SK. The coverage ties th  │\n",
+       "│  deals to OpenAI\\u2019s broader Stargate expansion and efforts to secure     │\n",
+       "│  large-scale compute and memory supply.                                      │\n",
+       "│  ([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?  │\n",
+       "│  m_source=openai))\\n\\nIf you want, I can:\\n- Pull up the full AP article     │\n",
+       "│  (published Oct 2, 2025) or Reuters/Samsung/SK press releases for exact      │\n",
+       "│  wording and timestamps.\\n- Extract and compare direct quotes from Sam       │\n",
+       "│  Altman, Samsung and SK executives.\\n- Track whether these LOIs/MOUs later   │\n",
+       "│  convert into firm purchase agreements and delivery timelines (would requir  │\n",
+       "│  follow-up searches). Which would you like?\",                                │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
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+       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:19:07] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
+       "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: openai_web_search\u001b[0m                                          \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Yes \\u2014 OpenAI announced this partnership with major South \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mKorean firms at the start of October 2025. Short summary of the key points\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(with sources):\\n\\n- What was announced: OpenAI signed letters of intent /\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmemoranda of understanding with Samsung Electronics and SK Group (includin\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSK hynix and SK Telecom) to supply memory chips and explore data\\u2011cent\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcollaboration as part of OpenAI\\u2019s large \\u201cStargate\\u201d \u001b[0m\u001b[48;2;39;40;34m        \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34minfrastructure initiative. \u001b[0m\u001b[48;2;39;40;34m                                               \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mm_source=openai))\\n\\n- Supply plans: Samsung and SK hynix are expected to \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mscale production of advanced memory (HBM/DRAM) to support Stargate, with \u001b[0m\u001b[48;2;39;40;34m \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mreports quoting demand estimates up to about 900,000 DRAM wafers per month\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mSpecific delivery schedules and final contract volumes were not finalized \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mthe announcements. \u001b[0m\u001b[48;2;39;40;34m                                                       \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([reuters.com](https://www.reuters.com/business/media-telecom/samsung-sk-h\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mix-supply-memory-chips-openais-stargate-project-2025-10-01/?utm_source=ope\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mi))\\n\\n- Data\\u2011center cooperation: OpenAI and SK Telecom signed an MOU\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mto explore building an AI data center in South Korea (referred to in \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcoverage as \\u201cStargate Korea\\u201d), and Samsung affiliates will explo\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdata\\u2011center technologies (including discussions reported about floati\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdata\\u2011center concepts). \u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mm_source=openai))\\n\\n- Context / meetings: The public announcements follow\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmeetings in Seoul between OpenAI CEO Sam Altman, South Korean President Le\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mJae\\u2011myung, and senior leaders of Samsung and SK. The coverage ties th\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mdeals to OpenAI\\u2019s broader Stargate expansion and efforts to secure \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mlarge-scale compute and memory supply. \u001b[0m\u001b[48;2;39;40;34m                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([apnews.com](https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89?\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mm_source=openai))\\n\\nIf you want, I can:\\n- Pull up the full AP article \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(published Oct 2, 2025) or Reuters/Samsung/SK press releases for exact \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mwording and timestamps.\\n- Extract and compare direct quotes from Sam \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAltman, Samsung and SK executives.\\n- Track whether these LOIs/MOUs later \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mconvert into firm purchase agreements and delivery timelines (would requir\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mfollow-up searches). Which would you like?\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:09] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Looking for relevant news                                                    │\n",
+       "│                                                                              │\n",
+       "│ I’m considering if there are any major items from October 2. The second      │\n",
+       "│ search generated some reports about film and Elon Musk, which seem less      │\n",
+       "│ central. I might add a brief note about ongoing regulatory actions. To be    │\n",
+       "│ thorough, I'll search for “AI regulation news from October 2, 2025,” as that │\n",
+       "│ might provide more focused and relevant updates regarding current            │\n",
+       "│ discussions on regulation in AI. Let’s see what I find!                      │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:19:09] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mLooking for relevant news\u001b[0m                                                    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’m considering if there are any major items from October 2. The second      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m search generated some reports about film and Elon Musk, which seem less      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m central. I might add a brief note about ongoing regulatory actions. To be    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m thorough, I'll search for “AI regulation news from October 2, 2025,” as that \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m might provide more focused and relevant updates regarding current            \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m discussions on regulation in AI. Let’s see what I find!                      \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:11] ─────────────────────────╮\n",
+       "│ 🔧 Tool Request: openai_web_search                                           │\n",
+       "│                                                                              │\n",
+       "│ Arguments:                                                                   │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"arguments\": \"{\\\"input\\\":\\\"AI regulation news October 2 2025 'Oct 2' AI   │\n",
+       "│  governance today Oct 2 2025                                                 │\n",
+       "│  headlines\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type\\\"  │\n",
+       "│  \"web_search_preview\\\",\\\"search_context_size\\\":\\\"high\\\"}\",                   │\n",
+       "│    \"call_id\": \"call_C5Uie1v4Y0iShinSml9ekyUr\",                               │\n",
+       "│    \"name\": \"openai_web_search\",                                              │\n",
+       "│    \"type\": \"function_call\",                                                  │\n",
+       "│    \"id\": \"fc_021a54d0dc6d53340068ddc500466481a3901b511309490a71\",            │\n",
+       "│    \"status\": \"completed\"                                                     │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[33m╭─\u001b[0m\u001b[33m───────────────────────\u001b[0m\u001b[33m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[33m [10/02/2025 00:19:11] \u001b[0m\u001b[33m────────────────────────\u001b[0m\u001b[33m─╮\u001b[0m\n",
+       "\u001b[33m│\u001b[0m 🔧 \u001b[1mTool Request: openai_web_search\u001b[0m                                           \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[1mArguments:\u001b[0m                                                                   \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m                                                                              \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"arguments\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"{\\\"input\\\":\\\"AI regulation news October 2 2025 'Oct 2' AI \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mgovernance today Oct 2 2025 \u001b[0m\u001b[48;2;39;40;34m                                              \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mheadlines\\\",\\\"model\\\":\\\"gpt-5-mini\\\",\\\"reasoning_effort\\\":\\\"low\\\",\\\"type\\\"\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"web_search_preview\\\",\\\"search_context_size\\\":\\\"high\\\"}\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"call_id\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"call_C5Uie1v4Y0iShinSml9ekyUr\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                             \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"name\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"openai_web_search\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"function_call\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"id\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"fc_021a54d0dc6d53340068ddc500466481a3901b511309490a71\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m          \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"status\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"completed\"\u001b[0m\u001b[48;2;39;40;34m                                                   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[33m│\u001b[0m\n",
+       "\u001b[33m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:20] ─────────────────────────╮\n",
+       "│ ✅ Tool Response: openai_web_search                                          │\n",
+       "│                                                                              │\n",
+       "│ Response:                                                                    │\n",
+       "│                                                                              │\n",
+       "│                                                                              │\n",
+       "│  {                                                                           │\n",
+       "│    \"type\": \"text\",                                                           │\n",
+       "│    \"text\": \"Here are the top AI-regulation/governance headlines for October  │\n",
+       "│  2, 2025 (sources cited):\\n\\n- U.S. administration pushes back on            │\n",
+       "│  industry-led health\\u2011AI oversight (Coalition for Health AI): Trump      │\n",
+       "│  administration officials and some GOP lawmakers criticized the CHAI         │\n",
+       "│  private-sector oversight initiative as potentially monopolistic and are     │\n",
+       "│  moving to distance federal endorsement.                                     │\n",
+       "│  ([politico.com](https://www.politico.com/news/2025/10/01/trump-ai-artifici  │\n",
+       "│  -intelligence-regulation-hhs-00590902?utm_source=openai))\\n\\n- European     │\n",
+       "│  Commission transparency consultation for AI-generated content closes today  │\n",
+       "│  (Oct 2, 2025): the consultation on Article 50 transparency guidelines \\u20  │\n",
+       "│  covering labeling of AI\\u2011generated content, deepfake disclosure and     │\n",
+       "│  related rules \\u2014 runs through Oct 2, 2025 and will feed mandatory       │\n",
+       "│  transparency obligations that take effect next year.                        │\n",
+       "│  ([euairisk.com](https://euairisk.com/news/2025-09-13?utm_source=openai))\\n  │\n",
+       "│  - Google Europe executive urges EU to simplify overlapping AI rules:        │\n",
+       "│  Alphabet/Google\\u2019s Europe president called for streamlining the         │\n",
+       "│  EU\\u2019s growing patchwork of internet- and AI-related laws, warning       │\n",
+       "│  complexity risks harming innovation.                                        │\n",
+       "│  ([timesofindia.indiatimes.com](https://timesofindia.indiatimes.com/technol  │\n",
+       "│  y/tech-news/google-europe-president-debbie-weinstein-on-eus-ai-laws-there-  │\n",
+       "│  -a-real-need-for-/articleshow/124264273.cms?utm_source=openai))\\n\\n-        │\n",
+       "│  Implementation issues and timeline pressure continue around the EU AI Act:  │\n",
+       "│  standards bodies and others have flagged delays and calls from industry fo  │\n",
+       "│  more time or simplification as key AI\\u2011Act technical standards and      │\n",
+       "│  compliance guidance are still being finalized.                              │\n",
+       "│  ([euronews.com](https://www.euronews.com/next/2025/04/16/eu-standards-bodi  │\n",
+       "│  -flag-delays-to-work-on-ai-act?utm_source=openai))\\n\\n- Broader geopolitic  │\n",
+       "│  / market context: policymakers\\u2019 moves and regulatory uncertainty are   │\n",
+       "│  taking place amid continued large capital flows into AI infrastructure and  │\n",
+       "│  products, which is keeping AI governance high on legislative and corporate  │\n",
+       "│  agendas.                                                                    │\n",
+       "│  ([theaustralian.com.au](https://www.theaustralian.com.au/business/markets/  │\n",
+       "│  -shutdown-the-real-story-behind-surging-ai-investment-numbers/news-story/9  │\n",
+       "│  f4249381f557d13c947d037a6e905?utm_source=openai))\\n\\nWould you like a deep  │\n",
+       "│  summary for any of these items (timeline, who\\u2019s involved, likely next  │\n",
+       "│  steps), or links to the full articles?\",                                    │\n",
+       "│    \"annotations\": null,                                                      │\n",
+       "│    \"meta\": null                                                              │\n",
+       "│  }                                                                           │\n",
+       "│                                                                              │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[92m╭─\u001b[0m\u001b[92m───────────────────────\u001b[0m\u001b[92m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[92m [10/02/2025 00:19:20] \u001b[0m\u001b[92m────────────────────────\u001b[0m\u001b[92m─╮\u001b[0m\n",
+       "\u001b[92m│\u001b[0m ✅ \u001b[1mTool Response: openai_web_search\u001b[0m                                          \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[1mResponse:\u001b[0m                                                                    \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m                                                                              \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m                                                                            \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m{\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"type\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"text\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m\"Here are the top AI-regulation/governance headlines for October\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m2, 2025 (sources cited):\\n\\n- U.S. administration pushes back on \u001b[0m\u001b[48;2;39;40;34m         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mindustry-led health\\u2011AI oversight (Coalition for Health AI): Trump \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34madministration officials and some GOP lawmakers criticized the CHAI \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mprivate-sector oversight initiative as potentially monopolistic and are \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmoving to distance federal endorsement. \u001b[0m\u001b[48;2;39;40;34m                                  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([politico.com](https://www.politico.com/news/2025/10/01/trump-ai-artifici\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-intelligence-regulation-hhs-00590902?utm_source=openai))\\n\\n- European \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mCommission transparency consultation for AI-generated content closes today\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m(Oct 2, 2025): the consultation on Article 50 transparency guidelines \\u20\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcovering labeling of AI\\u2011generated content, deepfake disclosure and \u001b[0m\u001b[48;2;39;40;34m  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mrelated rules \\u2014 runs through Oct 2, 2025 and will feed mandatory \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtransparency obligations that take effect next year. \u001b[0m\u001b[48;2;39;40;34m                     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([euairisk.com](https://euairisk.com/news/2025-09-13?utm_source=openai))\\n\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m- Google Europe executive urges EU to simplify overlapping AI rules: \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mAlphabet/Google\\u2019s Europe president called for streamlining the \u001b[0m\u001b[48;2;39;40;34m      \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mEU\\u2019s growing patchwork of internet- and AI-related laws, warning \u001b[0m\u001b[48;2;39;40;34m    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcomplexity risks harming innovation. \u001b[0m\u001b[48;2;39;40;34m                                     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([timesofindia.indiatimes.com](https://timesofindia.indiatimes.com/technol\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34my/tech-news/google-europe-president-debbie-weinstein-on-eus-ai-laws-there-\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-a-real-need-for-/articleshow/124264273.cms?utm_source=openai))\\n\\n- \u001b[0m\u001b[48;2;39;40;34m     \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mImplementation issues and timeline pressure continue around the EU AI Act:\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mstandards bodies and others have flagged delays and calls from industry fo\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mmore time or simplification as key AI\\u2011Act technical standards and \u001b[0m\u001b[48;2;39;40;34m   \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mcompliance guidance are still being finalized. \u001b[0m\u001b[48;2;39;40;34m                           \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([euronews.com](https://www.euronews.com/next/2025/04/16/eu-standards-bodi\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-flag-delays-to-work-on-ai-act?utm_source=openai))\\n\\n- Broader geopolitic\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m/ market context: policymakers\\u2019 moves and regulatory uncertainty are \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mtaking place amid continued large capital flows into AI infrastructure and\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mproducts, which is keeping AI governance high on legislative and corporate\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34magendas. \u001b[0m\u001b[48;2;39;40;34m                                                                 \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m([theaustralian.com.au](https://www.theaustralian.com.au/business/markets/\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34m-shutdown-the-real-story-behind-surging-ai-investment-numbers/news-story/9\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34mf4249381f557d13c947d037a6e905?utm_source=openai))\\n\\nWould you like a deep\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msummary for any of these items (timeline, who\\u2019s involved, likely next\u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
+       "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;230;219;116;48;2;39;40;34msteps), or links to the full articles?\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                  \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"annotations\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m,\u001b[0m\u001b[48;2;39;40;34m                                                    \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m  \u001b[0m\u001b[38;2;255;70;137;48;2;39;40;34m\"meta\"\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m:\u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m \u001b[0m\u001b[38;2;102;217;239;48;2;39;40;34mnull\u001b[0m\u001b[48;2;39;40;34m                                                            \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
        "\u001b[92m│\u001b[0m \u001b[48;2;39;40;34m \u001b[0m\u001b[38;2;248;248;242;48;2;39;40;34m}\u001b[0m\u001b[48;2;39;40;34m                                                                         \u001b[0m\u001b[48;2;39;40;34m \u001b[0m \u001b[92m│\u001b[0m\n",
@@ -342,36 +1281,32 @@
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/02/2025 00:00:32] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:23] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Summarizing recent AI news                                                   │\n",
+       "│ Gathering AI news summaries                                                  │\n",
        "│                                                                              │\n",
-       "│ The tool provided aggregated headlines for today, October 1, 2025. I’ll      │\n",
-       "│ present these as concise bullet points with short summaries and source       │\n",
-       "│ links, ensuring I avoid heavy formatting, as suggested. I’ll use terms like  │\n",
-       "│ \"reported\" to maintain accuracy and avoid definitive claims when uncertain.  │\n",
-       "│ I'll also highlight significant aspects, like the impact of shutdowns on AI  │\n",
-       "│ research and mention \"OpenAI supply agreements\" potentially from The Verge.  │\n",
-       "│ Keeping to today’s news only, I’ll create a clean presentation with the      │\n",
-       "│ bullet points.                                                               │\n",
+       "│ I noticed that some items are from earlier dates but were listed as closing  │\n",
+       "│ on October 2. The user probably wants a brief list of the top AI news items  │\n",
+       "│ reported today. I should create concise bullet points with sources and 1-2   │\n",
+       "│ sentence summaries. It might be a good idea to offer to expand on any item   │\n",
+       "│ or provide full article links. Plus, I’ll mention that coverage evolves and  │\n",
+       "│ offer to keep monitoring for updates.                                        │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:00:32] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:19:23] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mSummarizing recent AI news\u001b[0m                                                   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mGathering AI news summaries\u001b[0m                                                  \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m The tool provided aggregated headlines for today, October 1, 2025. I’ll      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m present these as concise bullet points with short summaries and source       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m links, ensuring I avoid heavy formatting, as suggested. I’ll use terms like  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \"reported\" to maintain accuracy and avoid definitive claims when uncertain.  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I'll also highlight significant aspects, like the impact of shutdowns on AI  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m research and mention \"OpenAI supply agreements\" potentially from The Verge.  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m Keeping to today’s news only, I’ll create a clean presentation with the      \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m bullet points.                                                               \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I noticed that some items are from earlier dates but were listed as closing  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m on October 2. The user probably wants a brief list of the top AI news items  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m reported today. I should create concise bullet points with sources and 1-2   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m sentence summaries. It might be a good idea to offer to expand on any item   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m or provide full article links. Plus, I’ll mention that coverage evolves and  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m offer to keep monitoring for updates.                                        \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -388,32 +1323,40 @@
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/02/2025 00:00:34] ─────────────────────────╮\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:26] ─────────────────────────╮\n",
        "│ 🧠 Reasoning                                                                 │\n",
        "│                                                                              │\n",
-       "│ Crafting final answer                                                        │\n",
+       "│ Summarizing AI stories for today                                             │\n",
+       "│                                                                              │\n",
+       "│ I’m crafting the final answer by starting with, \"Here are the main AI        │\n",
+       "│ stories reported today (Oct 2, 2025):\" First, Meta plans to use AI-chatbot   │\n",
+       "│ conversations to target ads, starting December 16, with notifications on     │\n",
+       "│ October 7, although it excludes the UK, EU, and South Korea initially and    │\n",
+       "│ sensitive topics.                                                            │\n",
        "│                                                                              │\n",
-       "│ I should ask the user if they’d like more depth on the information provided. │\n",
-       "│ It's important to keep my final answer clear and concise while using bullet  │\n",
-       "│ points with links. I also want to ensure I include a friendly offer to       │\n",
-       "│ provide more detail if they need it. This way, I’m encouraging engagement    │\n",
-       "│ without overwhelming them. Keeping everything brief will make it easier for  │\n",
-       "│ the user to digest the information!                                          │\n",
+       "│ Next, there’s news about OpenAI expanding partnerships in South Korea with   │\n",
+       "│ Samsung and SK, and launching the Sora short-video app. Finally, although    │\n",
+       "│ the user wants \"today only,\" I might mention the EU consultation on          │\n",
+       "│ transparency is relevant too.                                                │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:00:34] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:19:26] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
        "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m \u001b[1mCrafting final answer\u001b[0m                                                        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mSummarizing AI stories for today\u001b[0m                                             \u001b[95m│\u001b[0m\n",
        "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m I should ask the user if they’d like more depth on the information provided. \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m It's important to keep my final answer clear and concise while using bullet  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m points with links. I also want to ensure I include a friendly offer to       \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m provide more detail if they need it. This way, I’m encouraging engagement    \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m without overwhelming them. Keeping everything brief will make it easier for  \u001b[95m│\u001b[0m\n",
-       "\u001b[95m│\u001b[0m the user to digest the information!                                          \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I’m crafting the final answer by starting with, \"Here are the main AI        \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m stories reported today (Oct 2, 2025):\" First, Meta plans to use AI-chatbot   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m conversations to target ads, starting December 16, with notifications on     \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m October 7, although it excludes the UK, EU, and South Korea initially and    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m sensitive topics.                                                            \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Next, there’s news about OpenAI expanding partnerships in South Korea with   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m Samsung and SK, and launching the Sora short-video app. Finally, although    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the user wants \"today only,\" I might mention the EU consultation on          \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m transparency is relevant too.                                                \u001b[95m│\u001b[0m\n",
        "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },
@@ -430,94 +1373,142 @@
     {
      "data": {
       "text/html": [
-       "
╭──────────────────────── AGENT [10/02/2025 00:00:36] ─────────────────────────╮\n",
-       "│ Here are the main AI stories reported today (Oct 1, 2025), with brief        │\n",
-       "│ summaries and sources — tell me which one you want expanded.                 │\n",
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:28] ─────────────────────────╮\n",
+       "│ 🧠 Reasoning                                                                 │\n",
+       "│                                                                              │\n",
+       "│ Crafting the final message                                                   │\n",
+       "│                                                                              │\n",
+       "│ I could ask the user if they want the full articles in addition to the       │\n",
+       "│ summaries. I need to keep things concise and make direct offers like, \"Do    │\n",
+       "│ you want full articles, a deeper summary, or tracking updates?\" It’s         │\n",
+       "│ important to mention sources as well, and since the search provided URLs in  │\n",
+       "│ the tool outputs, I can include those in parentheses. Alright, I’ll put all  │\n",
+       "│ this together to create the final message!                                   │\n",
+       "╰──────────────────────────────────────────────────────────────────────────────╯\n",
+       "
\n"
+      ],
+      "text/plain": [
+       "\u001b[95m╭─\u001b[0m\u001b[95m───────────────────────\u001b[0m\u001b[95m \u001b[0m\u001b[1;95mAGENT\u001b[0m\u001b[95m [10/02/2025 00:19:28] \u001b[0m\u001b[95m────────────────────────\u001b[0m\u001b[95m─╮\u001b[0m\n",
+       "\u001b[95m│\u001b[0m 🧠 \u001b[1mReasoning\u001b[0m                                                                 \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m \u001b[1mCrafting the final message\u001b[0m                                                   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m                                                                              \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m I could ask the user if they want the full articles in addition to the       \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m summaries. I need to keep things concise and make direct offers like, \"Do    \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m you want full articles, a deeper summary, or tracking updates?\" It’s         \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m important to mention sources as well, and since the search provided URLs in  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m the tool outputs, I can include those in parentheses. Alright, I’ll put all  \u001b[95m│\u001b[0m\n",
+       "\u001b[95m│\u001b[0m this together to create the final message!                                   \u001b[95m│\u001b[0m\n",
+       "\u001b[95m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                        \n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "
╭──────────────────────── AGENT [10/02/2025 00:19:31] ─────────────────────────╮\n",
+       "│ Here are the main AI stories reported today (October 2, 2025):               │\n",
+       "│                                                                              │\n",
+       "│  • Meta will begin using conversations with its Meta AI assistant to         │\n",
+       "│    personalize ads and content (WSJ / Reuters). Key points: Meta says it     │\n",
+       "│    will add signals from AI chats to ad/content personalization (excluding   │\n",
+       "│    certain “sensitive” topics), notify users starting Oct 7, and the change  │\n",
+       "│    takes effect Dec 16; rollout initially excludes the U.K., EU and South    │\n",
+       "│    Korea. Sources: Wall Street Journal (Oct 2) and Reuters coverage.         │\n",
+       "│    Links:                                                                    │\n",
+       "│    https://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-conversation │\n",
+       "│    s-to-target-ads-291093d3 and                                              │\n",
+       "│    https://www.reuters.com/business/media-telecom/meta-use-ai-chats-personal │\n",
+       "│    ize-content-ads-december-2025-10-01/                                      │\n",
+       "│  • OpenAI expands its “Stargate” infrastructure partnerships in South Korea  │\n",
+       "│    (AP / Reuters). OpenAI signed MOUs/LOIs with Samsung and SK Group to      │\n",
+       "│    secure advanced memory supply (HBM/DRAM) and explore data‑center          │\n",
+       "│    collaboration as part of its global Stargate build‑out. Coverage          │\n",
+       "│    highlights meetings in Seoul between OpenAI leadership and South Korean   │\n",
+       "│    officials/companies. Source: AP News (Oct 2) and Reuters.                 │\n",
+       "│    Link: https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89         │\n",
+       "│  • OpenAI launches Sora (short-video / generative-video app) and related     │\n",
+       "│    generative-video features; ChatGPT shopping/Instant Checkout pilots       │\n",
+       "│    continue (tech press reports). Outlets report OpenAI rolling out an       │\n",
+       "│    invite-style short-video app (Sora) built on its video-generation models  │\n",
+       "│    and expanding ChatGPT shopping integrations (initial merchants include    │\n",
+       "│    Etsy sellers). Sources: major tech outlets reporting Oct 1–2 (examples:   │\n",
+       "│    MacRumors, CNBC/tech sites).                                              │\n",
+       "│    Example link:                                                             │\n",
+       "│    https://www.macrumors.com/2025/09/30/openai-sora-ai-video-app/            │\n",
+       "│  • AI governance/regulatory items tied to Oct 2: EU transparency             │\n",
+       "│    consultation on AI‑generated content and labeling closes today (feeds     │\n",
+       "│    ongoing EU transparency/labeling work), and the U.S. press continues      │\n",
+       "│    debate about private-sector AI oversight initiatives. Sources include EU  │\n",
+       "│    filings and Politico / other regulatory coverage.                         │\n",
        "│                                                                              │\n",
-       "│  • Microsoft launches Microsoft 365 Premium with Copilot for individuals —   │\n",
-       "│    New $19.99/month individual plan bundles Copilot across Office apps,      │\n",
-       "│    higher Copilot usage limits, additional AI features and 1 TB storage;     │\n",
-       "│    Microsoft is encouraging migration from Copilot Pro to this Premium tier. │\n",
-       "│    Source: Reuters (Oct 1, 2025).                                            │\n",
-       "│    Link:                                                                     │\n",
-       "│    https://www.reuters.com/technology/microsoft-launches-ai-powered-365-prem │\n",
-       "│    ium-bundle-1999-per-month-2025-10-01/                                     │\n",
-       "│  • Google rolls out “Gemini for Home” (major Google Assistant / Nest         │\n",
-       "│    upgrade) — Gemini replaces the Google Assistant on Google/Nest smart      │\n",
-       "│    devices with more conversational, context-aware voice capabilities, new   │\n",
-       "│    voices and household-profile support; Early Access begins Oct 1 with      │\n",
-       "│    broader rollout to follow. Source: The Verge (Oct 1, 2025).               │\n",
-       "│    Link:                                                                     │\n",
-       "│    https://www.theverge.com/tech/788102/gemini-for-home-new-google-assistant │\n",
-       "│    -launch-date-price-features                                               │\n",
-       "│  • OpenAI reported to sign supply/partnership deals to scale its             │\n",
-       "│    infrastructure (“Stargate” support) — Reports say OpenAI has agreements   │\n",
-       "│    (e.g., with Samsung, SK Hynix) for memory/chip supply and is expanding    │\n",
-       "│    datacenter capacity (including in South Korea) to support larger model    │\n",
-       "│    deployments. Source: The Verge (Oct 1, 2025).                             │\n",
-       "│    Link: https://www.theverge.com/news/789687/openai-samsung-stargate-chips  │\n",
-       "│  • U.S. federal government shutdown begins — The shutdown that took effect   │\n",
-       "│    today has furloughed many federal staff and disrupted agency operations;  │\n",
-       "│    observers warn it could delay or interrupt government-funded AI research, │\n",
-       "│    grants, and interagency collaborations. (Context and reporting Oct 1,     │\n",
-       "│    2025).                                                                    │\n",
-       "│    Context link:                                                             │\n",
-       "│    https://en.wikipedia.org/wiki/2025_United_States_federal_government_shutd │\n",
-       "│    own                                                                       │\n",
-       "│  • First teaser from an AI-generated / AI-directed feature released — A      │\n",
-       "│    high-profile AI-created film project released its first teaser today,     │\n",
-       "│    stoking debate over credits, copyright and “AI actors.” (Reported Oct 1,  │\n",
-       "│    2025).                                                                    │\n",
-       "│    Reference: https://en.wikipedia.org/wiki/The_Sweet_Idleness               │\n",
+       "│ Would you like me to:                                                        │\n",
        "│                                                                              │\n",
-       "│ Would you like more detail on any item (technical implications, business     │\n",
-       "│ impact, analyst reaction, full-article excerpts, or additional sources)?     │\n",
+       "│  • Pull the full articles for any of the items above and summarize them in   │\n",
+       "│    more detail?                                                              │\n",
+       "│  • Focus on one topic (privacy implications for Meta’s change,               │\n",
+       "│    technical/market impact of OpenAI’s Stargate deals, how Sora works and    │\n",
+       "│    availability)?                                                            │\n",
+       "│  • Monitor the rest of today for any breaking updates (I can check again and │\n",
+       "│    send any new items)?                                                      │\n",
        "╰──────────────────────────────────────────────────────────────────────────────╯\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [10/02/2025 00:00:36] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Here are the main AI stories reported today (Oct 1, 2025), with brief        \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m summaries and sources — tell me which one you want expanded.                 \u001b[32m│\u001b[0m\n",
+       "\u001b[32m╭─\u001b[0m\u001b[32m───────────────────────\u001b[0m\u001b[32m \u001b[0m\u001b[1;32mAGENT\u001b[0m\u001b[32m [10/02/2025 00:19:31] \u001b[0m\u001b[32m────────────────────────\u001b[0m\u001b[32m─╮\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Here are the main AI stories reported today (October 2, 2025):               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mMeta will begin using conversations with its Meta AI assistant to         \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mpersonalize ads and content (WSJ / Reuters). Key points: Meta says it     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mwill add signals from AI chats to ad/content personalization (excluding   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mcertain “sensitive” topics), notify users starting Oct 7, and the change  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mtakes effect Dec 16; rollout initially excludes the U.K., EU and South    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mKorea. Sources: Wall Street Journal (Oct 2) and Reuters coverage.         \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLinks:                                                                    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://www.wsj.com/tech/ai/meta-will-begin-using-ai-chatbot-conversation \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0ms-to-target-ads-291093d3 and                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://www.reuters.com/business/media-telecom/meta-use-ai-chats-personal \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mize-content-ads-december-2025-10-01/                                      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mOpenAI expands its “Stargate” infrastructure partnerships in South Korea  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m(AP / Reuters). OpenAI signed MOUs/LOIs with Samsung and SK Group to      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0msecure advanced memory supply (HBM/DRAM) and explore data‑center          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mcollaboration as part of its global Stargate build‑out. Coverage          \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhighlights meetings in Seoul between OpenAI leadership and South Korean   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mofficials/companies. Source: AP News (Oct 2) and Reuters.                 \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLink: https://apnews.com/article/a65fd1a21a8587c991cc30b94b1dfe89         \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mOpenAI launches Sora (short-video / generative-video app) and related     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mgenerative-video features; ChatGPT shopping/Instant Checkout pilots       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mcontinue (tech press reports). Outlets report OpenAI rolling out an       \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0minvite-style short-video app (Sora) built on its video-generation models  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mand expanding ChatGPT shopping integrations (initial merchants include    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mEtsy sellers). Sources: major tech outlets reporting Oct 1–2 (examples:   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mMacRumors, CNBC/tech sites).                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mExample link:                                                             \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://www.macrumors.com/2025/09/30/openai-sora-ai-video-app/            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mAI governance/regulatory items tied to Oct 2: EU transparency             \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mconsultation on AI‑generated content and labeling closes today (feeds     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mongoing EU transparency/labeling work), and the U.S. press continues      \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mdebate about private-sector AI oversight initiatives. Sources include EU  \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mfilings and Politico / other regulatory coverage.                         \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mMicrosoft launches Microsoft 365 Premium with Copilot for individuals —   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mNew $19.99/month individual plan bundles Copilot across Office apps,      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhigher Copilot usage limits, additional AI features and 1 TB storage;     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mMicrosoft is encouraging migration from Copilot Pro to this Premium tier. \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mSource: Reuters (Oct 1, 2025).                                            \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLink:                                                                     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://www.reuters.com/technology/microsoft-launches-ai-powered-365-prem \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mium-bundle-1999-per-month-2025-10-01/                                     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mGoogle rolls out “Gemini for Home” (major Google Assistant / Nest         \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mupgrade) — Gemini replaces the Google Assistant on Google/Nest smart      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mdevices with more conversational, context-aware voice capabilities, new   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mvoices and household-profile support; Early Access begins Oct 1 with      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mbroader rollout to follow. Source: The Verge (Oct 1, 2025).               \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLink:                                                                     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://www.theverge.com/tech/788102/gemini-for-home-new-google-assistant \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m-launch-date-price-features                                               \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mOpenAI reported to sign supply/partnership deals to scale its             \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0minfrastructure (“Stargate” support) — Reports say OpenAI has agreements   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m(e.g., with Samsung, SK Hynix) for memory/chip supply and is expanding    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mdatacenter capacity (including in South Korea) to support larger model    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mdeployments. Source: The Verge (Oct 1, 2025).                             \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mLink: https://www.theverge.com/news/789687/openai-samsung-stargate-chips  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mU.S. federal government shutdown begins — The shutdown that took effect   \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mtoday has furloughed many federal staff and disrupted agency operations;  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mobservers warn it could delay or interrupt government-funded AI research, \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mgrants, and interagency collaborations. (Context and reporting Oct 1,     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m2025).                                                                    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mContext link:                                                             \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhttps://en.wikipedia.org/wiki/2025_United_States_federal_government_shutd \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mown                                                                       \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mFirst teaser from an AI-generated / AI-directed feature released — A      \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mhigh-profile AI-created film project released its first teaser today,     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mstoking debate over credits, copyright and “AI actors.” (Reported Oct 1,  \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0m2025).                                                                    \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mReference: https://en.wikipedia.org/wiki/The_Sweet_Idleness               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m Would you like me to:                                                        \u001b[32m│\u001b[0m\n",
        "\u001b[32m│\u001b[0m                                                                              \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m Would you like more detail on any item (technical implications, business     \u001b[32m│\u001b[0m\n",
-       "\u001b[32m│\u001b[0m impact, analyst reaction, full-article excerpts, or additional sources)?     \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mPull the full articles for any of the items above and summarize them in   \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mmore detail?                                                              \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mFocus on one topic (privacy implications for Meta’s change,               \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mtechnical/market impact of OpenAI’s Stargate deals, how Sora works and    \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0mavailability)?                                                            \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m • \u001b[0mMonitor the rest of today for any breaking updates (I can check again and \u001b[32m│\u001b[0m\n",
+       "\u001b[32m│\u001b[0m \u001b[1;33m   \u001b[0msend any new items)?                                                      \u001b[32m│\u001b[0m\n",
        "\u001b[32m╰──────────────────────────────────────────────────────────────────────────────╯\u001b[0m\n"
       ]
      },

From 82bdd4ff604e68aa6cdd2761365a0c7afc10890d Mon Sep 17 00:00:00 2001
From: Bill Zhang 
Date: Thu, 2 Oct 2025 11:57:12 -0700
Subject: [PATCH 12/12] Fixing lint errors git push

---
 .../10_agentic/10_temporal/010_agent_chat/dev.ipynb      | 9 ++++++++-
 src/agentex/lib/core/services/adk/providers/openai.py    | 9 +++------
 2 files changed, 11 insertions(+), 7 deletions(-)

diff --git a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
index 0875ca35..3cb9b822 100644
--- a/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
+++ b/examples/tutorials/10_agentic/10_temporal/010_agent_chat/dev.ipynb
@@ -91,7 +91,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "id": "4",
    "metadata": {},
    "outputs": [
@@ -1514,6 +1514,13 @@
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Streaming timed out after 120 seconds - returning collected messages\n"
+     ]
     }
    ],
    "source": [
diff --git a/src/agentex/lib/core/services/adk/providers/openai.py b/src/agentex/lib/core/services/adk/providers/openai.py
index 81e8ce47..e70c2d04 100644
--- a/src/agentex/lib/core/services/adk/providers/openai.py
+++ b/src/agentex/lib/core/services/adk/providers/openai.py
@@ -1,5 +1,4 @@
 # Standard library imports
-import json
 from typing import Any, Literal
 from contextlib import AsyncExitStack, asynccontextmanager
 
@@ -13,14 +12,13 @@
 from openai.types.responses import (
     ResponseCompletedEvent,
     ResponseTextDeltaEvent,
-    ResponseFunctionWebSearch,
-    ResponseCodeInterpreterToolCall,
     ResponseFunctionToolCall,
+    ResponseFunctionWebSearch,
     ResponseOutputItemDoneEvent,
-    ResponseTextDeltaEvent,
+    ResponseCodeInterpreterToolCall,
+    ResponseReasoningSummaryPartDoneEvent,
     ResponseReasoningSummaryPartAddedEvent,
     ResponseReasoningSummaryTextDeltaEvent,
-    ResponseReasoningSummaryPartDoneEvent,
 )
 
 # Local imports
@@ -31,7 +29,6 @@
 from agentex.lib.core.tracing.tracer import AsyncTracer
 from agentex.types.task_message_delta import (
     TextDelta,
-    ReasoningContentDelta,
     ReasoningSummaryDelta,
 )
 from agentex.types.task_message_update import (