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

1189

Output Tokens

243

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 the current state of the process and determine if we are on track. The user's request is to find information about available flights from London to Paris for tomorrow. The process has progressed as follows: 1. The 'calendar' tool was used to determine tomorrow's date, which returned '2025-05-29'. 2. The next step is to use the 'flights' tool to search for available flights from London to Paris for the date '2025-05-29'. 3. After retrieving the flight information, the results need to be compiled and presented to the user. The process is currently at step 2 of 4, and all actions so far are aligned with the user's request. Therefore, we are on track.

Response: We are on track. The next action is to use the 'flights' tool to search for available flights from London to Paris for '2025-05-29'.