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.

Duration

1m 7s

Input Tokens

1218

Output Tokens

311

Cost

$0.00

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 determine the tools needed to complete the task, I analyzed the user's request and the available tools. The task requires finding the cheapest flights from London to Paris for tomorrow and returning the top 3 options. Based on the provided context, two tools are relevant:

1. **Calendar Tool**: This will be used to determine the date for 'tomorrow' since the user's request specifies 'flights for tomorrow.' The method 'get_tomorrow_date' can be used to retrieve this information.

2. **Flights Tool**: This tool will be used to search for flights from London to Paris. The method 'search_flights' can be used to find flights, and 'filter_by_price' can be used to identify the cheapest options. The 'get_cheapest_option' method can further refine the results to return the top 3 cheapest flights.

The 'memory' tool will also be used to store the results of the flights search and the final filtered options, as per the instructions to store meaningful results after every tool call.

Response: The tools needed to successfully complete the task are:
1. Calendar Tool (to get tomorrow's date)
2. Flights Tool (to search and filter flights)
3. Memory Tool (to store the results)