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
13s
Input Tokens
1140
Output Tokens
1030
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: 1.  **Understand the Goal:** The primary goal is to find flights from London to Paris for tomorrow. The agent correctly interpreted this from the user's request.
2.  **Analyze the Trajectory:** The agent recognized that 'tomorrow' is a relative term and the first step was to get a concrete date. It correctly chose and used the `calendar` tool for this purpose.
3.  **Evaluate the Current State:** The agent has successfully completed the first step by obtaining the date '2025-05-29'. The scratch pad and remaining goals show a clear understanding of the next logical action: use the `flights` tool.
4.  **Assess the Plan:** The plan to use the `flights` tool with the departure city (London), arrival city (Paris), and the newly found date (2025-05-29) is the correct and most direct path to answering the user's question.
5.  **Conclusion:** The agent is following a logical, step-by-step process. The progress is marked as 'Step 2 of 4', which indicates a structured approach. There are no errors or deviations from the optimal path. Therefore, the assessment is that the process is on track.

Response: Based on the provided context, the process is **on track**. The agent has successfully identified the user's need, broken down the task into logical steps, and is proceeding as planned. It correctly used the 'calendar' tool to determine tomorrow's date and is now poised to use the 'flights' tool with the correct parameters ('London', 'Paris', '2025-05-29') to fulfill the user's request. The plan is clear and efficient.