Opper

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.

Agents – openai/gpt-5 Task | Opper AI

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Context

Input

The agent is requested to inspect the PR diff again. What is the action you take?

Expected output

As per the instructions if a tool call has been made already I will store it in memory and not call it again, I can see this also in keys in memory.So my action is: I will read the memory and use the content to inspect the PR diff.

Model output

Reasoning: The PR diff was already fetched and stored as diff_351 in cycle 2. Per the protocol, never invoke the same tool with identical inputs twice; instead, read from deterministic memory. Therefore, to inspect the diff again, retrieve it from memory.

Response: Invoke memory.read_memory with key='diff_351' to re-inspect the previously saved PR diff (avoid re-calling github.get_pull_request_diff).