Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Duration

Input Tokens

1691

Output Tokens

384

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: 1.  **Analyze the Request and Context:** The user requested to add the 'yearly company dinner' to their calendar and set a reminder a couple of days before. The context shows that Cycle 1 of the process has already occurred: the request was received, emails were searched, the date was extracted (2025-06-15), and calendar conflicts were checked (none found).
2.  **Determine the Next Step:** Since all necessary information (event name: 'yearly company dinner', date: '2025-06-15', reminder days: 'a couple days' -> I will assume 2 days based on the context summary) has been gathered and verified, the next logical step is to execute the calendar creation tool.
3.  **Tool Selection and Parameters:** I will use the `calendar` tool with the `create_event` action.
    *   `event_name`: 'yearly company dinner'
    *   `date`: '2025-06-15'
    *   `reminder_days_before`: 2 (Interpreting 'a couple days before' as 2 days).
4.  **Formulate the Plan:** Execute the `create_event` tool call with the identified parameters. This completes the core task requested by the user.

Response: {
  "tool_name": "calendar",
  "action_name": "create_event",
  "params": {
    "event_name": "yearly company dinner",
    "date": "2025-06-15",
    "reminder_days_before": 2
  }
}