Opper

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.

Agents – anthropic/claude-opus-4 Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

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: Looking at the trajectory and scratch pad, I can see that:

1. The user requested to add the yearly company dinner to the calendar with a reminder 2 days before
2. The agent has successfully completed all necessary steps:
   - Searched and found the relevant email (email_12345)
   - Extracted the event date (2025-06-15)
   - Checked for calendar conflicts (none found)
   - Created the calendar event with the reminder set for 2 days before

3. The scratch pad indicates we're at step 6 of 6 with 'Task complete' status
4. All goals have been accomplished according to the scratch pad

5. According to the instructions, 'Once a task is complete you should terminate the process, no need to notify the user'

Since all objectives have been met and the task is complete, the next action should be to terminate the process.

Response: terminate