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

21s

Input Tokens

1085

Output Tokens

1990

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: Current cycle is 3 of 4, with progress at Step 2 of 4. The remaining goals specify: (a) use the flights tool to search for London -> Paris on 2025-05-29, and (b) compile and present the results. The calendar tool previously returned 2025-05-29, which matches the required date format (YYYY-MM-DD) for the flights tool. Given these alignments, we are on track to complete the planned tasks. The next action is to execute the flights search and then summarize and store the results for the user.

Response: We are on track. Next action: call the flights tool to search for available flights from London to Paris on 2025-05-29. Once results are returned, I will summarize them for you and store the data for future reference.