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

1392

Output Tokens

374

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: According to the AgentX instructions, whenever a trigger of type "user_request" is received, the agent must begin by fully understanding the user's intent before taking any action. This involves reading the trigger content, extracting the core request, and confirming any missing details. Only after this comprehension step should the agent decompose the task, select appropriate tools, and proceed. Therefore, the very first action is an internal analysis of the request (and, if needed, a clarification query to the user).

Response: The first thing I do is carefully read and interpret the user’s request to fully understand their intent, extracting the needed details and identifying any ambiguities before proceeding with any tool actions.