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

14s

Input Tokens

1108

Output Tokens

455

Cost

$0.00

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: 
1. **Understand the Context**:
   - The user's request is to find information about available flights from London to Paris for tomorrow.
   - The trajectory shows that the previous action was to determine tomorrow's date using the calendar tool, which returned '2025-05-29'.
   - The current cycle is 3, meaning we have already completed two cycles (understanding the request and fetching the date).

2. **Analyze Available Tools**:
   - **Calendar Tool**: Already used to fetch tomorrow's date. Not needed now.
   - **Flights Tool**: Designed to find available flights. Requires parameters: `from_city`, `to_city`, and `date`.
   - **Web Search Tool**: General-purpose tool, but less efficient for flight-specific queries compared to the dedicated flights tool.

3. **Plan the Next Action**:
   - The user's goal is to find flight information for the specified route and date.
   - The flights tool is the most direct and efficient way to achieve this, as it is specifically designed for this purpose.
   - Parameters needed for the flights tool:
     - `from_city`: 'London'
     - `to_city`: 'Paris'
     - `date`: '2025-05-29' (already obtained from the calendar tool).

4. **Execute the Action**:
   - Call the flights tool with the parameters: `{'from_city': 'London', 'to_city': 'Paris', 'date': '2025-05-29'}`.
   - This will retrieve the available flights for the user's request.

5. **Anticipate Next Steps**:
   - Once the flights tool returns the results, the next action would be to format and present the flight information to the user in a clear and concise manner.
    

Response: The next action is to call the flights tool with the parameters: `{'from_city': 'London', 'to_city': 'Paris', 'date': '2025-05-29'}` to retrieve available flights for the user.