Opper

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.

Agents – anthropic/claude-3.5-haiku Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

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 trigger with a user request, the first and most critical step is to carefully analyze the user's message and understand their intent. In this case, the user mentioned the yearly company dinner and wants me to add it to the calendar with a reminder.

Step 1: Understand the User's Request
- The user wants to add the yearly company dinner to their calendar
- They mentioned seeing an email with more information
- They want a reminder set before the event

To proceed systematically, I will first search the emails to find the details about the company dinner. This will help me gather the necessary information to create an accurate calendar event.

Response: I will first use the email search tool to find the email with information about the yearly company dinner. My goal is to retrieve the specific details needed to create an accurate calendar event.