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-nano 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 review draft is ready in memory as draft_review_351 and the lead has approved the change. The remaining action is to publish the final review. Therefore, post the content of draft_review_351 to the code-reviews channel via discord.post_message, then update the scratch_pad to reflect completion and exit.

Response: Publish the final review by posting draft_review_351 to the #code-reviews channel using discord.post_message with the prepared review text. After posting, update the scratch_pad to indicate completion and exit.