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

1754

Output Tokens

650

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 have analyzed the provided context, which includes the user's initial request, the trajectory of actions taken so far, and the current state of the scratchpad. The scratchpad explicitly states, 'All steps successfully completed' and 'Progress: Step 6 of 6. Task complete.' The trajectory confirms that the agent has successfully found the event details, checked for conflicts, created the calendar event, and set the requested reminder. According to the instructions, 'Once a task is complete you should terminate the process, no need to notify the user.' Since all goals have been achieved and the task is marked as complete, the logical next and final action is to terminate the process.

Response: The next action is to terminate the process, as the task has been fully completed.