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

1172

Output Tokens

447

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: The task is to assess if the agent is on track. The agent's goal is to find flights from London to Paris for tomorrow. The calendar tool returned '2025-05-29', confirming tomorrow's date. The next planned action is to use the 'flights' tool with the correct parameters (London, Paris, 2025-05-29). The scratch pad shows progress at step 2 of 4, which matches the expected sequence. No errors or deviations have occurred. Therefore, the agent is following the plan correctly and is on track.

Response: On track. The agent has correctly determined tomorrow's date (2025-05-29) using the calendar tool and is ready to proceed with the next step: calling the flights tool to get available flights from London to Paris for that date.