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

36s

Input Tokens

1211

Output Tokens

310

Cost

$0.00

Context

Input

You have received responses from all tools after 3 retries. They are all unavailable. Can you still achieve your goal?

Expected output

No, I cannot achieve my goal.

Model output

Reasoning: 1. The task is to determine if the goal can still be achieved despite all tools being unavailable after 3 retries. 2. The user's original request was to find information about available flights from London to Paris for tomorrow. 3. The 'calendar' tool was initially used to determine tomorrow's date but returned an error after 3 retries. 4. The 'flights' tool is still marked as available, but no attempt has been made to use it yet. 5. The goal can still be achieved by using the 'flights' tool with the correct parameters ('from_city', 'to_city', and 'date'). 6. The date can be manually set to tomorrow's date (e.g., if today is 2023-10-05, use '2023-10-06') without relying on the 'calendar' tool. 7. The next step is to call the 'flights' tool with the required parameters.

Response: Yes, the goal can still be achieved. The next step is to use the 'flights' tool with the parameters 'from_city': 'London', 'to_city': 'Paris', and 'date': 'YYYY-MM-DD' (manually set to tomorrow's date).