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

14s

Input Tokens

3071

Output Tokens

218

Cost

$0.00

Context

Input

The user has replied: "Three days before is fine."  According to the plan for the yearly company-dinner task, what is the next action?

Expected output

Call email.search_emails with a query such as "yearly company dinner" (optionally including the current year) to locate the relevant email(s) containing the event details, and store the returned email_id(s) for the subsequent email.read_email step.

Model output

Reasoning: 1. I understand the task as adding a reminder for the yearly company dinner to the user's calendar, three days before the event. 2. To accomplish this, I need to find the date of the yearly company dinner from the user's emails. 3. Once I have the date, I will use the calendar tool to create the event and set the reminder. 4. I will follow the provided instructions and tools, ask for user input when necessary, and verify my results before proceeding.

Response: To perform the task, I will first need to extract the date of the yearly company dinner from the user's emails. Once I have the date, I will create an event on the calendar for the yearly company dinner. Since the user has mentioned three days before as the preferred time for the reminder, I will set a reminder for the event three days prior to the date. Here are the steps I will follow: