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

1878

Output Tokens

1029

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 provided trajectory and scratch pad, AgentX has successfully fulfilled all components of the user's request. The agent identified the event details from the email (2025-06-15), verified there were no calendar conflicts, and successfully created the 'Yearly Company Dinner' event with a reminder set for 2 days prior. The scratch pad indicates that the current status is 'Step 6 of 6. Task complete.' According to the specific instructions provided ('Once a task is complete you should terminate the process, no need to notify the user'), the next and final action is to terminate the process.

Response: The next action is to terminate the process as the task is complete and all goals have been met.