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

1087

Output Tokens

742

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: To assess if we're on track, I need to analyze the current state against the intended progress. The task is to find information about flights from London to Paris for tomorrow. According to the progress indicator, we're at Step 2 of 4. We've successfully completed Step 1 (user trigger) and Step 2 (determining tomorrow's date using calendar tool, which returned 2025-05-29). The next step should be using the flights tool with the parameters we now have (from_city: London, to_city: Paris, date: 2025-05-29). All necessary information is available, the next action is clear, and we're progressing through the steps as planned. Therefore, we are on track.

Response: We are on track. We've successfully determined tomorrow's date (2025-05-29) using the calendar tool and are now ready to proceed to the next step, which is using the flights tool to search for available flights from London to Paris for that date. We're at step 2 of 4 in our planned progress, and all necessary parameters are available.