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 – fireworks/qwen3-coder-480b-a35b-instruct Task | Opper AI

Input Tokens

46494

Output Tokens

5712

Duration

127668.251

Cost

0

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 agent has completed all steps in the mandatory review sequence. The PR diff has been inspected, tests and linting have been performed, security and dependency checks have been carried out, and a draft review has been created. The lead has provided approval for the new dependency. The next step is to publish the review by posting the message to the #code-reviews Discord channel. The content of the review is stored in memory under the key 'draft_review_351'. I will retrieve this content and post it to Discord.

Response: I will retrieve the draft review from memory and post it to the #code-reviews Discord channel.