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

20s

Input Tokens

1875

Output Tokens

221

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: Step 1: Carefully read the task - determine the next action for AgentX based on the trajectory and scratch pad. Step 2: Analyze trajectory: The agent has fully handled the user request by searching emails, extracting the date (2025-06-15), checking for calendar conflicts (none found), and creating the event 'Yearly Company Dinner' with a 2-day reminder. Step 3: Review scratch pad: Current step is 'Final check'. All goals are listed as completed. Progress: Step 6 of 6. Task complete. Keys in memory confirm all details. Notes state 'All steps successfully completed.' Step 4: Check instructions: Once the task is complete, terminate the process without notifying the user. No missing details, no need for user input, no further verification needed. All tools were used appropriately in prior steps. Step 5: Conclusion - No further actions or tool calls required. The next action is to terminate the process.

Response: Terminate the process. Task complete. No further actions needed.