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.

Agents – fireworks/qwen3-coder-480b-a35b-instruct Task | Opper AI

Input Tokens

46494

Output Tokens

5712

Duration

127668.251

Cost

0

Context

Input

Of the available tools. Which ones will you need to use to successfully complete the task?

Expected output

All tools will need to be used: calendar, flights,memory

Model output

Reasoning: The user wants to find the cheapest flights from London to Paris for tomorrow and return the top 3 options. To do this, I need to determine the date for tomorrow using the `calendar` tool, then use the `flights` tool to search for flights from London to Paris on that date, filtering by price to get the cheapest options. The `memory` tool will be used to store intermediate results and the final output. So, I will need to use all three tools: `calendar`, `flights`, and `memory`.

Response: To successfully complete the task, I will need to use the following tools: `calendar` to determine the date for tomorrow, `flights` to search for and filter the cheapest flight options from London to Paris for that date, and `memory` to store the results of each step.