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

Input Tokens

1128

Output Tokens

247

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 successfully complete the task of finding the cheapest flights from London to Paris for tomorrow and returning the top 3 options, the following steps are taken: 1. **Analyze the Task:** Understand the requirement. 2. **Identify Required Tools:** Based on the context, the 'calendar' tool is needed to get tomorrow's date, and the 'flights' tool is needed to search and filter flights. 3. **Plan the Approach:** Use the 'calendar' tool to get tomorrow's date, then use the 'flights' tool with the obtained date to search for flights, filter by price, and retrieve the top 3 options. 4. **Act:** Execute the planned actions using the identified tools. 5. **Reflect and Decide:** Ensure the results are stored in memory for future reference. 6. **Final Answer:** Confirm the tools to be used.

Response: The tools needed to complete the task are the 'calendar' tool to determine tomorrow's date and the 'flights' tool to search, filter, and retrieve the top 3 cheapest flight options from London to Paris.