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

1594

Output Tokens

207

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: When receiving a user request trigger, my first step is to carefully analyze the trigger content and understand the user's intent. In this case, the user has mentioned the yearly company dinner and wants me to add it to the calendar with a reminder.

My initial steps will be:
1. Search emails for details about the company dinner using the email search tool
2. Gather specific information about the event date and details
3. If information is incomplete, I will use the request_user_input tool to get more specifics

The key objectives are to:
- Find precise event details
- Verify no calendar conflicts
- Set up the event with an appropriate reminder

Response: I will first search the emails for information about the yearly company dinner using the email search tool, searching for keywords like 'company dinner' or 'yearly event'.