Agents – xai/grok-4-fast-reasoning Task

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

10s

Input Tokens

1499

Output Tokens

244

Cost

$0.00

Context

Input

As the first step you are reflecting and deciding on the plan to follow to complete the task. You have three candidate plans:

A) Plan A:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → Call web_search with query "London to Paris flights on [date]" to cross-check available flights found in the previous step.
- Step 4 → If there are discrepancies between flights tool and web search, re-query flights tool for confirmation.
- Step 5 → Summarize all gathered flight options and send results to the user.

B) Plan B:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → Summarize flights tool results and send to the user.

C) Plan C:
- Step 1 → Call calendar to get tomorrow’s date.
- Step 2 → Call flights (London ➜ Paris, date).
- Step 3 → If the flights tool returns fewer than 3 options, call web_search with query "London to Paris flights on [date]" to supplement results.
- Step 4 → Merge both sets of results and send the combined summary to the user.

Pick **one** plan you will execute.

Expected output

Plan B, is the preferred one as its the most efficient, and that is instructed

Model output

Reasoning: The user's request is to find information about available flights from London to Paris for tomorrow. The available tools include 'calendar' to get the date, 'flights' which is specifically designed for finding available flights, and 'web_search' as a general tool. The instructions emphasize aiming for the most direct and effective path, interpreting the request, breaking it into steps, and using tools logically without unnecessary actions.

Evaluating the plans:
- Plan A involves cross-checking with web_search and potential re-querying, which adds complexity and potential loops if discrepancies arise, making it less direct.
- Plan B uses the calendar to get the date, calls the dedicated flights tool, and summarizes the results, providing a straightforward path relying on the specialized tool.
- Plan C introduces a conditional web_search only if fewer than 3 options, which is more efficient than A but still adds an extra step that may not be needed if the flights tool provides sufficient results.

Since the flights tool is tailored for this exact purpose, Plan B is the most direct and effective, avoiding unnecessary tool calls while fulfilling the goal efficiently.

Response: I will execute Plan B.

As the first step you are reflecting and deciding on the plan to follow to complete the task. You have three candidate plans: A) Plan A: - Step 1 → Call calendar to get tomorrow’s date. - Step 2 → Call flights (London ➜ Paris, date). - Step 3 → Call web_search with query "London to Paris flights on [date]" to cross-check available flights found in the previous step. - Step 4 → If there are discrepancies between flights tool and web search, re-query flights tool for confirmation. - Step 5 → Summarize all gathered flight options and send results to the user. B) Plan B: - Step 1 → Call calendar to get tomorrow’s date. - Step 2 → Call flights (London ➜ Paris, date). - Step 3 → Summarize flights tool results and send to the user. C) Plan C: - Step 1 → Call calendar to get tomorrow’s date. - Step 2 → Call flights (London ➜ Paris, date). - Step 3 → If the flights tool returns fewer than 3 options, call web_search with query "London to Paris flights on [date]" to supplement results. - Step 4 → Merge both sets of results and send the combined summary to the user. Pick **one** plan you will execute.

Reasoning: The user's request is to find information about available flights from London to Paris for tomorrow. The available tools include 'calendar' to get the date, 'flights' which is specifically designed for finding available flights, and 'web_search' as a general tool. The instructions emphasize aiming for the most direct and effective path, interpreting the request, breaking it into steps, and using tools logically without unnecessary actions. Evaluating the plans: - Plan A involves cross-checking with web_search and potential re-querying, which adds complexity and potential loops if discrepancies arise, making it less direct. - Plan B uses the calendar to get the date, calls the dedicated flights tool, and summarizes the results, providing a straightforward path relying on the specialized tool. - Plan C introduces a conditional web_search only if fewer than 3 options, which is more efficient than A but still adds an extra step that may not be needed if the flights tool provides sufficient results. Since the flights tool is tailored for this exact purpose, Plan B is the most direct and effective, avoiding unnecessary tool calls while fulfilling the goal efficiently. Response: I will execute Plan B.