Opper

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.

Input Tokens

Output Tokens

Duration

Cost

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: The task is a question: given that all tools have been retried 3 times and are unavailable, can I still achieve my goal? The original goal, based on the context, is to find and provide information about available flights from London to Paris for tomorrow. To achieve this, I need to: 1) Determine tomorrow's date using the calendar tool, 2) Use the flights tool with the correct date, from_city, and to_city, and 3) Compile and present the results. The instructions specify using available tools, handling errors, and retrying up to 3 times. Since all tools (calendar, flights, web_search) are now unavailable after 3 retries, I cannot reliably obtain the current date or query flight information. Alternatives like using web_search for the date or flights are not possible because all tools are unavailable. Without tools, I cannot access up-to-date external data, so I cannot achieve the goal accurately and reliably. The next action would be to inform the user of the issue, but the direct answer to the question is no.

Response: No, I cannot achieve the goal because all necessary tools are unavailable after the maximum retries, preventing me from obtaining the required date and flight information.