Agents – anthropic/claude-3.5-haiku Task | Opper AI

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.

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Context

Input

Asses the current state and decide if we are on track or not

Expected output

We are on track

Model output

Reasoning: I'll assess the current state of the task systematically:

1. Task Origin: User requested flight information from London to Paris for tomorrow
2. Current Progress:
   - Cycle 3 of task completion
   - Date for travel confirmed as 2025-05-29
   - Calendar tool successfully used
   - Remaining goals:
     a) Use flights tool to find available flights
     b) Compile and present results to user

3. Tool Status Check:
   - Calendar tool: Used successfully
   - Flights tool: Available and ready
   - Web search tool: Available if additional information needed

4. Current State Assessment:
   - The task is progressing systematically
   - All planned steps are being followed
   - Next immediate action is to use the flights tool with confirmed parameters

Conclusion: We are ON TRACK. The task is proceeding according to the planned approach, with clear next steps identified and tools available to complete the user's request.

Response: ON TRACK