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

21s

Input Tokens

1085

Output Tokens

472

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: We have successfully retrieved tomorrow’s date (2025-05-29) from the calendar tool and confirmed it matches the flights tool schema. We’re at step 2 of 4, with the next goal being to fetch available flights. There are no blockers or discrepancies, and all prerequisites have been met. Therefore, we are on track.

Response: We are on track. Next, call the 'flights' tool with parameters: {"from_city": "London", "to_city": "Paris", "date": "2025-05-29"}.