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

2m 22s

Input Tokens

2722

Output Tokens

3465

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 user is requesting a re-inspection of the PR diff. In cycle 2, I already fetched the diff and stored it in memory under key 'diff_351'. According to the deterministic memory principle and the rule to never use a tool with the same inputs twice, I must retrieve the existing diff from memory rather than re-fetching it from GitHub. After re-inspecting the diff to verify my previous analysis, I will proceed with the planned action of publishing the review via discord.post_message using the drafted review stored in 'draft_review_351'. The immediate action is to read the diff from memory.

Response: Use memory.read_memory to retrieve the diff from key 'diff_351' for re-inspection, then proceed to publish the review via discord.post_message with the body from memory key 'draft_review_351'.