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

18s

Input Tokens

1103

Output Tokens

1399

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 current cycle is at step 2 of 4, where the task involves interpreting the calendar tool result, which has been successfully completed by retrieving the date '2025-05-29'. The remaining goals include using the 'flights' tool to find available flights for the specified date and compiling the results to present to the user. Given that the calendar tool result is available and the next actions are clearly defined, the project is progressing as planned without any evident delays or obstacles.

Response: Yes, we are on track. We have successfully completed step 2 of 4 by obtaining the necessary date information. The next steps involve retrieving flight details and compiling the information for the user, which are well-defined and achievable within the planned cycle.