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

1159

Output Tokens

218

Cost

$0.00

Context

Input

You have received responses from all tools after 3 retries. They are all unavailable. Can you still achieve your goal?

Expected output

No, I cannot achieve my goal.

Model output

Reasoning: The task is to determine if the goal of finding flight information can still be achieved despite all tools being unavailable after multiple retries. 

Here's my approach:
1.  Analyze the context: The context provides information about the user's request, previous actions, available tools, and current progress.
2.  Identify the problem: All tools have failed after 3 retries.
3.  Assess the situation: Because all tools have failed, I cannot directly use them to find flights. 
4. Consider Alternatives: I can use the web search tool to find information.
5. Synthesize a response based on these considerations. State that, although all tools are unavailable, I will attempt a web search to fulfill the request.

Response: I understand that the available tools are currently unavailable after multiple retries. However, I will attempt a web search to find information about available flights from London to Paris for tomorrow.