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.

100
Duration
15s
Input Tokens
1559
Output Tokens
194
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: The user has responded that 'Three days before is fine' regarding their preferred reminder time for the event. The current step was asking the user for how many days in advance they want to be reminded. Since the user has now provided this information, I need to proceed with searching for the email that contains the details of the yearly company dinner. Once I find the relevant email, I will read its content to extract the event date. After obtaining the date, the next step is to verify the calendar for any conflicts and then add the event to the calendar with a reminder set three days before the event. This approach ensures we handle all necessary steps systematically following the plan.

Response: The next action is to search your emails for the message regarding the yearly company dinner to find its date and details, so I can add it to your calendar and set a reminder three days before the event.