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

14s

Input Tokens

1086

Output Tokens

155

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: In the provided context, the user has requested information about available flights from London to Paris for tomorrow. The previous cycles indicated that the calendar tool confirmed the date as '2025-05-29'. Given that the current cycle is step 3 of 4, I need to complete the remaining goal of using the 'flights' tool to retrieve the flight information. The next logical step is to gather available flights for the specified date and cities, ensuring the date format aligns with the tool's requirements.

Response: The current state is on track. The next step is to query the flights tool for available flights from London to Paris for the date 2025-05-29.