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.

100
Duration
1m 6s
Input Tokens
3569
Output Tokens
879
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: 
    1. **Task Breakdown**: The user needs the top 3 cheapest flights from London to Paris for tomorrow. This involves:
       - Dynamically determining 'tomorrow's date'.
       - Searching flights for that date.
       - Sorting/filtering results by price.

    2. **Tool Evaluation**:
       - **Calendar Tool**: Required to get tomorrow's date via `get_tomorrow_date`. This is critical because the date is not static (it changes daily).
       - **Flights Tool**: Needed to:
         - Search flights (`search_flights`) with parameters: `from_city=London`, `to_city=Paris`, and the dynamically retrieved date.
         - Filter results by price (`filter_by_price` or `get_cheapest_option`) to isolate the top 3 cheapest options.
       - **Memory Tool**: Mandatory per instructions to store:
         - Tomorrow's date (key: `travel_date_london_paris`).
         - Flight results (key: `cheapest_flights_london_paris_<date>`).

    3. **Exclusion Justification**:
       - Calendar methods like `get_current_date` or `format_date` are unnecessary because the task only requires tomorrow's date in a raw format.
       - Flights methods like `sort_by_duration` or `get_flight_details` are irrelevant since the user only asked for price-based results.
       - Memory methods like `retrieve_item` or `delete_item` are not needed because this is a linear workflow without retrieval or cleanup requirements.

    4. **Workflow Steps**:
       - Step 1: Call `calendar.get_tomorrow_date` to fetch the travel date.
       - Step 2: Store the date in memory using `memory.store_item`.
       - Step 3: Call `flights.search_flights` with the stored date and city pairs.
       - Step 4: Apply `flights.filter_by_price` (or `get_cheapest_option` if it supports top N results) to get the top 3 cheapest flights.
       - Step 5: Store the filtered results in memory and return them to the user.

    5. **Error Handling**:
       - If `search_flights` fails (e.g., API error or no flights), retry up to 3 times (as per instructions).
       - If no flights are available, inform the user and suggest checking alternative dates (would require additional calendar calls for new dates).

    6. **Optimizations**:
       - Use `get_cheapest_option` if it can return multiple results directly (verify tool schema first).
       - Avoid redundant calls by reusing the stored date for all flight-related operations.
    

Response: 
    To complete the task of finding the top 3 cheapest flights from London to Paris for tomorrow, the following tools and methods are required:

    **Required Tools and Methods:**
    - **Calendar Tool**: Use `get_tomorrow_date` to dynamically retrieve tomorrow's date for the flight search.
    - **Flights Tool**: Use `search_flights` to query available flights, and `filter_by_price` (or `get_cheapest_option`) to extract the top 3 cheapest options.
    - **Memory Tool**: Use `store_item` to save the retrieved date and flight results, as per the instructions.

    **Excluded Tools/Methods:**
    - Calendar methods like `get_current_date` or `format_date` are not needed.
    - Flights methods like `sort_by_duration` or `get_flight_details` are irrelevant for this price-focused query.
    - Memory methods like `retrieve_item` or `delete_item` are unnecessary for this task.

    **Workflow Summary:**
    1. Fetch tomorrow's date using the Calendar tool.
    2. Store the date in memory.
    3. Search for flights from London to Paris on the stored date.
    4. Filter the results to get the top 3 cheapest flights.
    5. Store the results in memory and return them to the user.