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

1415

Output Tokens

177

Cost

$0.00

Context

Input

You have just received a trigger with a user request. What is the first thing you do?

Expected output

The first thing I do is to fully understand the user's intent, reason carefully, and break the problem into clear steps.

Model output

Reasoning: The trigger is a user request where the user asks AgentX to add the yearly company dinner to their calendar and set a reminder before the event. The user mentions they saw an email with more info. Since the event date and exact details (e.g., date, reminder timing) are not provided in the request, the first logical step is to retrieve the email containing more information about the dinner. The 'email' tool with 'search_emails' action is appropriate for this. A good search query would be 'yearly company dinner' to locate relevant emails. This ensures I have the necessary details (e.g., date) before proceeding to add the event to the calendar.

Response: I’ll first search for emails related to the yearly company dinner to get the date and details needed to add the event and set a reminder.