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.

Input Tokens

Output Tokens

Duration

Cost

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 decide what action I should take when requested to 'inspect the PR diff again.' According to the provided context, this PR (PR-#351) has already had its diff fetched in Cycle 2 using the github.get_pull_request_diff action, and the result was saved to the memory key 'diff_351'. The list of current memory keys includes 'diff_351', confirming the diff is still accessible. The agent's operating principles and mandatory review sequence require that every non-trivial tool output be stored in deterministic memory, and it is considered a best practice to avoid redundant tool invocations when a result can be read from memory.

Response: The correct action is to retrieve and review the stored PR diff from memory using the 'memory.read_memory' action with the key 'diff_351', instead of running github.get_pull_request_diff again. This ensures efficiency and compliance with ReviewBot-XL's deterministic memory protocol. If the existing diff data in memory is valid and up to date, there is no need to make another API call. Therefore, I would use the memory.read_memory tool to access the unified diff for inspection, and proceed accordingly with the review process.