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

11s

Input Tokens

1669

Output Tokens

520

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 and scratch pad, I can see that the agent was waiting for the user to specify how many days before the event they want a reminder. The user has now responded "Three days before is fine." This completes step 2 of the plan. According to the remaining goals in the scratch pad, the next action should be to search emails to find the yearly company dinner date. I need to use the email tool to search for relevant emails about the yearly company dinner.

Response: Thank you for confirming! I'll set a reminder for 3 days before the event. Now I'll search your emails to find the details about the yearly company dinner date and location.