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.

Input Tokens

Output Tokens

Duration

Cost

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The user's initial request was to add the 'yearly company dinner' to their calendar and set a reminder 'a couple days before'.

Based on the `trajectory` in the `context`, the following steps have already been completed:
1. The event date (2025-06-15) has been successfully extracted from the user's emails.
2. The calendar has been checked, and no conflicting events exist for that date.

The only remaining part of the original request is to add the event to the calendar and set the reminder.

The `calendar` tool has a `create_event` action which is suitable for this purpose. It requires `event_name`, `date`, and `reminder_days_before`.

- `event_name`: 'Yearly Company Dinner' (from the user's initial request).
- `date`: '2025-06-15' (extracted from the email as per context).
- `reminder_days_before`: The user requested 'a couple days before'. A common interpretation of 'a couple' is two. Given the instructions prioritize efficiency and only ask the user when in doubt or details are missing, assuming '2' days is a reasonable and efficient next step.

Response: I will now add the 'Yearly Company Dinner' to your calendar on 2025-06-15 with a reminder set for 2 days before the event using the `calendar.create_event` tool.