Agents – fireworks/deepseek-r1 Task | Opper AI

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.

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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 was already retrieved and stored in `diff_351` during Cycle 2. Re-inspecting the PR diff would require reading this saved version from memory rather than making redundant GitHub API calls, as per operating principle #2 (deterministic memory usage) and scratch_pad notes to 'never use a tool with the same inputs twice'.

Response: Retrieve the cached PR diff from memory key **diff_351** using `memory.read_memory` to re-analyze the changes without re-fetching unchanged data. This follows the instruction to prioritize memory checks over duplicate tool executions.