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

10s

Input Tokens

1805

Output Tokens

805

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 preference for the reminder (3 days before). The next required piece of information is the date of the 'yearly company dinner', which the user previously stated is in an email. According to the scratch pad and the trajectory, the next planned step is to search the user's emails to find this information.

Response: The next action is to use the 'email' tool to perform the 'search_emails' action with the query "yearly company dinner" to locate the email containing the event details.