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 Task | Opper AI

Input Tokens

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Output Tokens

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Context

Input

The user has replied: "Three days before is fine."  According to the plan for the yearly company-dinner task, what is the next action?

Expected output

Call email.search_emails with a query such as "yearly company dinner" (optionally including the current year) to locate the relevant email(s) containing the event details, and store the returned email_id(s) for the subsequent email.read_email step.

Model output

Reasoning: The user has provided the input 'Three days before is fine,' which specifies the number of days in advance they would like to receive the reminder for the yearly company dinner. According to the plan outlined in the context, the next step is to search the user's emails to find the date of the yearly company dinner. This is crucial because the event date is required to schedule the reminder correctly. Once the email is found, I will read it to extract the event details, verify the information, and proceed with adding the event to the calendar. If any conflicts are detected, I will notify the user and resolve the issue before setting the reminder.

Response: The next action is to search the user's emails to find the date of the yearly company dinner using the email tool's 'search_emails' action.