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

18s

Input Tokens

1403

Output Tokens

267

Cost

$0.00

Context

Input

Your first step is to break down the problem and formulate a step by step plan. What is the plan?

Expected output

(1) Ask the user how many days before they want the reminder. (2) Use the email tool to search for emails about the yearly gathering. (3) Read the relevant email to extract the event date. (4) Use the calendar tool to add the event. (5) Check for any calendar conflicts. (6) Add the reminder X days before the event

Model output

Reasoning: Okay, I need to formulate a step-by-step plan to address the user's request. The user wants me to add the yearly company dinner to their calendar and set a reminder. Here's my plan:

1.  **Email Search:** Search emails for details about the yearly company dinner (date, time, location, etc.).
2.  **Email Reading:** If an email is found, read it to extract event details.
3.  **Calendar Event Creation:**  Use the extracted information to create a calendar event.
4.  **Reminder Setting:** Set a reminder for the event a few days before, as requested by the user.
5.  **User Confirmation:** Confirm with the user that the event has been added and the reminder is set.

I will now proceed with the first step, email search.

Response: Here's my plan to add the company dinner to your calendar: First, I'll search your emails to find details about the dinner. Then, I will add it to your calendar with a reminder a few days before the event. I will confirm with you once this is done.