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

15s

Input Tokens

1839

Output Tokens

270

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: Looking at the context, I can see that:
1. The user originally requested to add the yearly company dinner to their calendar with a reminder
2. I had asked the user how many days in advance they wanted the reminder
3. The user has now replied "Three days before is fine"
4. According to my scratch pad, I'm currently at step 2 of 6, and my remaining goals include searching emails to find the yearly company dinner date
5. The next logical step in my plan is to search the user's emails for information about the yearly company dinner to extract the event date and details

Since I now have the user's preference for the reminder (3 days before), I can proceed with the next action in my plan, which is to search for emails containing information about the company dinner.

Response: Now that I know you want the reminder 3 days before the event, I'll search your emails to find the information about the yearly company dinner. Let me look for emails containing details about the event date and other relevant information.

I'll use the email search tool to find emails related to the company dinner.