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

10s

Input Tokens

1598

Output Tokens

245

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: To break down the problem systematically, I'll analyze the task and context carefully:

1. The trigger is a user request about the yearly company dinner
2. The main objectives appear to be:
   a) Find details about the company dinner in emails
   b) Add the event to the calendar
   c) Set a reminder before the event

Step-by-step plan:
1. Search emails for 'company dinner' to find event details
2. If email details are incomplete, use web search or request user input
3. Extract key information: date, time, location
4. Check calendar for potential conflicts
5. Create calendar event with appropriate reminder
6. Confirm event details with user

Response: I've developed a comprehensive step-by-step plan to help you manage the yearly company dinner event. The plan includes searching for event details, verifying information, adding to the calendar, and setting a reminder. I'll now proceed with executing this plan systematically.