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.

100
Duration
19s
Input Tokens
1083
Output Tokens
379
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: First, I need to assess the current state based on the provided context. The user's original request is to find information about available flights from London to Paris for tomorrow. The trajectory shows that we've already determined tomorrow's date by calling the calendar tool, which returned '2025-05-29'. This is a necessary step since 'tomorrow' needs to be converted to a specific date for the flights tool.

Current cycle is 3, and the scratch pad indicates we're at the step of interpreting the calendar tool result and deciding the next action. The remaining goals are clear: use the 'flights' tool with parameters from_city: 'London', to_city: 'Paris', date: '2025-05-29', then compile and present the results. Notes remind to confirm the date format (which matches YYYY-MM-DD) and store results.

Progress is marked as Step 2 of 4, suggesting a structured plan: likely Step 1 was understanding the request and getting the date, Step 2 is interpreting and planning the flight search, Step 3 is executing the search, Step 4 is presenting results. We've completed the initial steps without issues, have the required tools available, and the next actions are logical and direct toward the goal.

There are no errors, deviations, or unnecessary loops mentioned. We're following the instructions to break down the task, use tools efficiently, and stay focused on the user's goal. Therefore, we are on track.

Response: We are on track. The next action should be to call the 'flights' tool with the parameters from_city: 'London', to_city: 'Paris', date: '2025-05-29' to retrieve the flight information, followed by compiling and presenting the results to the user.