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

1924

Output Tokens

248

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 user is asking for the next action based on the provided context, trajectory, and scratch pad. 
1.  **Analyze the Request**: The task is to determine the next action given the current state.
2.  **Examine Context/Scratch Pad**: The `scratch_pad` clearly indicates:
    *   `Current step: Final check`
    *   `Progress: Step 6 of 6. Task complete.`
    *   `Completed goals: ... [All necessary steps including creating the event] ...`
3.  **Determine Next Action**: Since the scratch pad explicitly states that the task is complete (Step 6 of 6), there is no further action required to fulfill the initial user request, and the agent should terminate the process as per instruction 5: "Once a task is complete you should terminate the process, no need to notify the user."
4.  **Conclusion**: The next action is to conclude the process, as no further steps are defined or necessary.

Response: Task complete. No further action required.