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 – cerebras/qwen-3-32b 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 has already been retrieved and stored in memory key **diff_351** in Cycle 2, alongside test results (tests_351), linter/typecheck outputs (lint_type_351), and security findings (sec_scan_351). Re-fetching the diff would be redundant. With the lead’s explicit approval to proceed and the final draft already prepared in **draft_review_351**, the next valid action is to publish the compiled review to #code-reviews via discord.post_message. This aligns with step 4 in the scratch_pad and mandatory review sequence (step F), ensuring no unlogged changes.

Response: Publish the final review message from memory key **draft_review_351** to #code-reviews using discord.post_message, then update the scratch_pad to "Sent PR-351 review (5/5)".