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

1117

Output Tokens

233

Cost

$0.00

Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: To assess whether we are on track, I need to evaluate the current state of the task against the remaining goals. The context provided indicates that the task is to find information about available flights from London to Paris for tomorrow. The trajectory shows that the calendar tool has been used to determine the date of tomorrow as '2025-05-29'. The scratch pad indicates that the next step is to use the 'flights' tool to get available flights for this date. The progress is noted as 'Step 2 of 4', which suggests that two steps have been completed and two remain. Given that the necessary date has been confirmed and the next tool is ready for use, we are on track to complete the task by following the remaining steps: using the 'flights' tool and compiling the results.

Response: Yes, we are on track. The calendar tool has confirmed the date for tomorrow as '2025-05-29', and the next step is to use the 'flights' tool to find available flights from London to Paris for this date.