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

1644

Output Tokens

194

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 responded to the agent's previous request with: "Three days before is fine." This means the user has specified that they want a reminder 3 days before the yearly company dinner event. According to the scratch pad, the current step is 'Asked user for how many days before the event they want the reminder; waiting for user input' — and the user has now provided this input. Therefore, the next step is to proceed to search for emails related to the yearly company dinner to extract the event date, as per the remaining goals: 'Search emails to find the yearly company dinner date.' Using the 'email' tool's 'search_emails' action with a relevant query (e.g., 'yearly company dinner') is appropriate.

Response: I will now search your emails for information about the yearly company dinner to find the event date, using the search term 'yearly company dinner'.