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

1465

Output Tokens

161

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: First, I need to understand the task at hand. The user has asked for help in adding the yearly company dinner to their calendar and setting a reminder. I will break this task down into the following steps:
1. Retrieve the details of the yearly company dinner from the user's emails.
2. Create a new calendar event for the dinner.
3. Set a reminder for the event.

Now, I will go through each step systematically.

Response: To proceed, I need to find more details about the yearly company dinner from the user's emails. I will use the 'email' tool to search for relevant emails.