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

2809

Output Tokens

552

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 requires finalizing the PR review after the lead's approval. In the provided context, the agent has already retrieved the PR diff (Cycle 2), run tests and linters (Cycles 3-5), performed security checks (Cycles 6-8), researched the new dependency (Cycles 9-14), and cross-validated API impacts (Cycles 15-20). A draft review was created (Cycle 21) but remained unresolved due to dependency approval uncertainty (Cycle 22). The lead's answer (Cycle 24) approved the dependency and emphasized flagging migration risks, so the agent now executes the final steps by publishing the review via discord.post_message with the content in memory key **draft_review_351**, as outlined in the scratch_pad's step 4/5.

Response: The action is to finalize and publish the review using **discord.post_message** to the #code-reviews channel, referencing the pre-drafted **draft_review_351** content. The task is complete after updating the scratch_pad.