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

2m 18s

Input Tokens

1895

Output Tokens

1987

Cost

$0.01

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: The user request involves adding an event to the calendar based on information found in an email. The plan must prioritize retrieving accurate event details before scheduling. I will structure the steps to first locate the email, extract necessary data, verify calendar availability, handle missing information via user input, and finally create the event with the requested reminder.

Response: Step 1: Use email.search_emails with query 'yearly company dinner' to locate the information email.
Step 2: Use email.read_email on the result to extract date, time, and location.
Step 3: Use calendar.read_calendar to check for conflicts around the event date.
Step 4: If reminder days are not in the email, use request_user_input to ask the user.
Step 5: Use calendar.create_event to add the dinner and set the reminder.
Step 6: Confirm with the user that the task is complete.