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.

Duration

Input Tokens

2689

Output Tokens

698

Cost

$0.00

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 asks what action to take when requested to inspect the PR diff again. Based on the context:

1. The PR diff was already fetched in Cycle 2 and saved to memory key **diff_351**
2. We're now at Cycle 25 and in Step 4 of 5: "Publish final review"
3. The review draft is stored in memory key **draft_review_351**
4. Lead approval was received in Cycle 24: "Approval granted, just flag migration risks."
5. The workflow requires fetching PR diff → saving to memory, which has already been done

Since the diff is already in memory (diff_351) and we're in the publishing phase, the appropriate action is to:
1. Retrieve the draft review from memory (draft_review_351)
2. Publish it via discord.post_message to #code-reviews channel

The diff was already inspected in Cycle 2 and its content saved to memory. Re-fetching via github.get_pull_request_diff would be redundant since we have it stored. The logical next step is to retrieve the draft review and post it.

Response: retrieve_draft_review_and_publish