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-4o-mini Task | Opper AI

Input Tokens

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Output Tokens

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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 task requires inspecting the PR diff and determining the next action to take. Given the context, I've already gathered the PR diff in memory under the key 'diff_351' and have completed various checks (unit tests, linter checks, security analysis) during the previous cycles. I am currently ready to publish the review message, as confirmed by the lead during the last cycle. To fulfill this request, I will post the review using the discord.post_message tool, utilizing the draft review stored in memory ('draft_review_351').

Response: I will publish the final review message on the #code-reviews channel using the content stored in memory key 'draft_review_351'.