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/deepseek-v3 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 task is to inspect the PR diff again. Since the PR diff was already fetched in Cycle 2 and stored in memory under the key 'diff_351', I need to retrieve it from memory rather than fetching it again. This approach aligns with the operating principle of deterministic memory, which states that substantial tool results must be persisted in memory. I will retrieve the diff from memory and then proceed to inspect it as per the review sequence.

Response: Retrieve the PR diff from memory key 'diff_351' and proceed to inspect the changes.