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

1140

Output Tokens

201

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 3, and the current step is 'Interpret tool result (calendar returned '2025-05-29') and decide next action.'

The remaining goals are:
1. Use 'flights' tool to get available flights from London to Paris for 2025-05-29.
2. Compile and present the results to the user.

Given the current progress (Step 2 of 4), we are on track to complete the user's request of finding available flights from London to Paris for tomorrow (2025-05-29).

The next step is to use the 'flights' tool with the correct parameters.


Response: We are currently on track. The next step is to use the flights tool.