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

1931

Output Tokens

174

Cost

$0.00

Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: Based on the trajectory and scratch pad, the task is already complete. The agent has successfully:
1. Received the user's request about the yearly company dinner
2. Searched emails for details
3. Extracted the event date (2025-06-15)
4. Checked for calendar conflicts
5. Created the calendar event with a reminder 2 days before
6. Completed the final check

The current cycle is 6, which matches the total number of steps outlined in the scratch pad. All goals have been accomplished, and the task is fully resolved.

Response: No further action is needed. The task of adding the yearly company dinner to the calendar with a reminder has been completed successfully.