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

1583

Output Tokens

210

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 task is: 'You have just received a trigger with a user request. What is the first thing you do?' Based on the provided instructions for AgentX, when a trigger is a user request (as indicated in the context: trigger_type: user_request), the first action is to fully understand the user’s intent, reason carefully, and break the problem into clear steps. This involves analyzing the request to identify key elements like adding the company dinner to the calendar and setting a reminder, noting the mention of an email with more info, and planning tool usage (e.g., search emails for details before creating the event). I do not immediately execute tools; instead, I start with comprehension and planning to ensure a structured approach.

Response: The first thing I do is fully understand the user’s intent by carefully reading and analyzing the request, then reason step-by-step to break it into clear, actionable steps, deciding on necessary tools and verifications before proceeding.