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

331

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: I need to analyze the current state of the agent's progress based on the trajectory and scratch pad information to determine what action should be taken next.

From the context provided:

1. The trajectory shows that the agent has already:
   - Received the user's request to add the yearly company dinner to the calendar with a reminder
   - Searched emails and found information about the event
   - Extracted the event date (2025-06-15)
   - Verified no calendar conflicts
   - Created the calendar event with a 2-day reminder

2. The scratch pad shows:
   - All steps have been successfully completed (Step 6 of 6)
   - The agent has noted "Task complete"
   - All necessary information has been processed and stored in memory

Since the agent has successfully completed all steps related to adding the calendar event and setting the reminder as requested by the user, and the scratch pad explicitly states "Task complete", the next appropriate action would be to terminate the process.

Response: The next action is to terminate the process. All requested tasks have been completed successfully - the yearly company dinner has been added to the calendar on 2025-06-15 with a reminder set 2 days before. The scratch pad clearly indicates "Task complete" and shows that all 6 steps have been finished. There are no remaining actions needed.