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

1238

Output Tokens

190

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 requires assessing the current state to determine if we are on track. Based on the context, the user's request is about finding flights from London to Paris for tomorrow. The calendar tool was used to determine tomorrow's date, which was successfully retrieved as 2025-05-29. The next logical step is to use the flights tool to search for available flights for that date. Since the date format matches the required YYYY-MM-DD format and the flights tool is available, we are following the correct trajectory. The remaining goals align with the current state, so the process is on track.

Response: Yes, we are on track. The date has been retrieved, and the next step is to use the flights tool to find available flights from London to Paris for 2025-05-29.