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: Based on the context, I'm at cycle 25 and have completed most of the review process for PR #351. The trajectory shows I've already fetched the diff (saved as diff_351), run tests and checks, performed security analysis, researched the Pydantic v2 dependency, and even got approval from the lead in cycle 24. The scratch_pad indicates I'm currently at step 4 of 5, which is to publish the final review.

The instruction asks what action I take to inspect the PR diff again. However, looking at the trajectory and memory keys, I've already fetched and saved the diff in cycle 2 (saved to memory key 'diff_351'). According to the scratch_pad protocol, I should never use a tool with the same inputs twice - instead, I should check the memory tool.

Since the diff is already stored in memory, the correct action is to read it from memory rather than fetching it again from GitHub.

Response: I will use the memory tool to read the previously saved PR diff:

```
memory.read_memory(key='diff_351')
```

This retrieves the diff that was already fetched and stored in cycle 2, avoiding redundant API calls to GitHub as per the operating principles.