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

The flights.search_flights call has returned 6 available flights from London to Paris for tomorrow. What is the next tool you will call, and why?

Expected output

The next tool is memory, to store the flights tool call result.

Model output

Reasoning: I have analyzed the task and the provided context to determine the next step after the `flights.search_flights` call returned 6 available flights from London to Paris for tomorrow (2025-05-29). My goal is to fulfill the user's request to find the cheapest flights and return the top 3 options. According to the planned next step in the scratch pad, I need to filter these flights by price and select the top 3 cheapest options. The 'flights' tool has a method called `filter_by_price` which seems appropriate for this task. Additionally, the instructions emphasize storing meaningful results in memory after every tool call, so I will ensure to do that after filtering. I am also adhering to the rule of avoiding redundant tool calls and working in cycles (analyze, plan, act, reflect). Therefore, the next logical action is to call the `filter_by_price` method from the 'flights' tool to narrow down the results based on price, and then store the filtered results in memory using the 'memory' tool with a clear key. This approach ensures minimal and effective actions towards completing the user's request.

Response: The next tool I will call is the 'flights' tool with the method `filter_by_price`. The reason for this choice is to filter the 6 available flights returned by the `search_flights` method based on their prices, as my goal is to identify the top 3 cheapest options for the user. Following the instructions, after filtering, I will store the results in memory using the 'memory' tool to ensure meaningful data is saved for subsequent steps.