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 – anthropic/claude-3.5-haiku Task | Opper AI

Input Tokens

0

Output Tokens

0

Duration

0

Cost

0

Context

Input

What is your next action?

Expected output

The next action is to call the flight tool with the date 2025-05-29,from_city: London, to_city: Paris

Model output

Reasoning: Based on the context provided, the last cycle was related to retrieving the date for tomorrow (2025-05-29) using the calendar tool. The user's original request was to find information about available flights from London to Paris for tomorrow. Given the tools available (calendar, flights, web_search), the next logical action is to use the flights tool to search for available flights matching the user's requirements.

Response: Next action: Call the flights tool with the following parameters:
- from_city: London
- to_city: Paris
- date: 2025-05-29

This will retrieve the available flight options for the user's specified route and date.