Agents – cerebras/qwen-3-32b Task | Opper AI

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.

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Context

Input

You attempted to call flights.search_flights, but the tool failed twice due to a timeout error. What is your next action according to the model instructions?

Expected output

Retry the flights.search_flights call one more time (maximum retries = 3), and if it fails again, log the failure and proceed with fallback steps or inform the user.

Model output

Reasoning: The flights.search_flights tool has failed twice due to timeout errors. According to instruction 2, I should not exceed a maximum of 3 retries for this tool call. Since two attempts have already been made, a third retry is the appropriate next action. I will execute the same search_flights call with parameters from_city='London', to_city='Paris', date='2025-05-29' and max_results=3 to fulfill the task. If this also fails, I'll log the error and pivot to alternative approaches.

Response: Executing third retry: call flights.search_flights with date='2025-05-29', from_city='London', to_city='Paris', max_results=3