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

16s

Input Tokens

1087

Output Tokens

723

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: I'm assessing the current state of the task progress. Looking at the context, I can see that:
1. The user requested information about flights from London to Paris for tomorrow
2. We were able to determine tomorrow's date (2025-05-29) using the calendar tool in the previous cycle
3. According to the scratch pad, we're currently at step 2 of 4
4. The next logical step is to use the flights tool with the parameters we now have
5. Our remaining goals are to use the flights tool and then present the results
6. All necessary tools (calendar, flights) are available and ready to use

Based on this analysis, we've completed the first step successfully and are positioned to execute the next step. The workflow is proceeding as planned.

Response: Yes, we are on track. We've successfully completed the first step by determining tomorrow's date (2025-05-29) using the calendar tool. We're now at the appropriate point in the workflow (step 2 of 4) to proceed with using the flights tool to find available flights from London to Paris for the determined date. After that, we'll need to compile and present the results to complete the task. All necessary tools are available and we're following the planned sequence of actions.