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

1328

Output Tokens

149

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: 1. The trigger is a user request: the user wants me to add the yearly company dinner to their calendar and set a reminder a few days in advance. They mention having seen an email with more details.
2. The first logical step is to gather the required information: the exact date, time, and location of the event, which should be in the referenced email.
3. Before I can create the calendar event, I need to read the email that contains these details.
4. Therefore, the very first action is to search the user’s emails for messages about the yearly company dinner.

Response: Search the user’s emails for the message containing information about the yearly company dinner.