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

10s

Input Tokens

1875

Output Tokens

179

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: The task is to determine the next action based on the trajectory and scratch pad. Reviewing the provided context: The user's request was to add the yearly company dinner to the calendar with a reminder 2 days before. The trajectory shows all steps completed: searched emails, extracted date (2025-06-15), checked for conflicts (none found), and created the event with reminder. The scratch pad confirms 'Current step: Final check', all goals completed, progress 'Step 6 of 6. Task complete.', and notes 'All steps successfully completed.' As AgentX, the instructions state: 'Once a task is complete you should terminate the process, no need to notify the user.' Therefore, no further tools or actions are needed. The next action is to terminate the process.

Response: Terminate the process as the task is complete.