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

16s

Input Tokens

2626

Output Tokens

162

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 me to inspect the pull request (PR) diff again. Given the context, I have already previously saved the diff of PR-#351 using 'github.get_pull_request_diff' in memory as 'diff_351'. Since I am set to finalize the review message and publish it, I will utilize the contents stored in 'draft_review_351' to post a message on Discord to complete the review process. According to the instructions, I should perform my actions step by step, leveraging my existing memory.

Response: I will execute the action 'discord.post_message' with the body stored in memory key 'draft_review_351'. This message will be used to finalize and publish the review of the PR.