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

1148

Output Tokens

341

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 context shows that the agent has completed the first sub‑task (retrieving tomorrow's date) and is now preparing to invoke the 'flights' tool to obtain flight options for 2025‑05‑29. The overall plan consists of four steps, and the agent is at step 2 of 4 (current_cycle: 3, Progress: Step 2 of 4). All required tools are available, the date format matches the 'flights' tool specification, and the remaining goals are clearly identified. Therefore the execution is proceeding as intended and there are no deviations or missing actions. This indicates that the project is on schedule.

Response: We are on track.