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

16s

Input Tokens

1333

Output Tokens

192

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 address the user's request about the yearly company dinner, I will formulate a step-by-step plan to ensure that the event is added to the calendar correctly. The steps are: 1) Understand the context of the event by retrieving relevant emails for more details, 2) Check the calendar for any existing events around the dinner date to avoid conflicts, 3) Once I have the required information, I will create a calendar event for the dinner and set a reminder a few days before the event. Each step will involve assessing the situation, taking appropriate actions, and confirming the results.

Response: 1. Search for emails related to the yearly company dinner to gather details.
2. Check the calendar for any existing events around the probable date of the dinner to avoid conflicts.
3. Create a calendar event for the dinner and set reminders based on the information retrieved.