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

19s

Input Tokens

1617

Output Tokens

126

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 replied with 'Three days before is fine.' This is a direct response to the agent's previous question about how many days in advance they want the reminder. The agent's current step (Step 2 of 6) was to wait for this input. Now that the input is received, the agent can proceed to the next planned action, which is to search the user's emails for information about the yearly company dinner.

Response: Three days before is fine. I'll proceed to search your emails for the yearly company dinner information now.