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

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Output Tokens

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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: To complete the task of finding the cheapest flights from London to Paris for tomorrow, I will need to use two tools strategically:

1. Calendar Tool:
   - I'll use the 'get_tomorrow_date' method to determine the exact date for the flight search
   - This ensures I'm searching for flights on the correct date

2. Flights Tool:
   - I'll use the 'search_flights' method to find available flights
   - Then I'll use 'filter_by_price' to get the cheapest options
   - The 'get_flight_details' method can help me retrieve specific information about the top results

3. Memory Tool (Optional but recommended):
   - I'll use 'store_item' to save the flight search results for potential future reference or further processing

By combining these tools systematically, I can efficiently retrieve the top 3 cheapest flights from London to Paris for tomorrow.

Response: calendar, flights, and memory tools will be needed to successfully complete this task