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

1554

Output Tokens

518

Cost

$0.00

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 information I was waiting for - they want a reminder 3 days before the yearly company dinner. According to the scratch_pad, I'm currently at Step 2 of 6 where I needed to get the user's preference for the reminder timing. Now that I have this information, I need to proceed with the next step in the plan, which is to search the user's emails to find information about the yearly company dinner. I'll use the email search tool to find relevant emails that contain details about the event, specifically looking for the date of the dinner.

Response: The next action is to search for emails containing information about the yearly company dinner. The user has specified they want a reminder 3 days before the event, so now I need to find the event date to proceed with adding it to the calendar with the appropriate reminder.