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 – fireworks/deepseek-v3.1 Task | Opper AI

Input Tokens

45938

Output Tokens

5677

Duration

113588.372

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: I need to understand what the first step should be when receiving a user request trigger. Looking at the instructions, I must first fully understand the user's intent, reason carefully, and break the problem into clear steps. The user has mentioned a company dinner and wants it added to their calendar with a reminder, but they reference seeing 'some email with more info' which suggests I need to gather complete information first. The most logical first step is to search for the relevant email containing details about the company dinner to get the specific date and event information needed to properly create the calendar event.

Response: Search for emails containing information about the company dinner using the email search tool with query terms like 'company dinner', 'yearly dinner', or related keywords to retrieve the specific details needed to proceed with adding the event to the calendar.