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

23s

Input Tokens

3723

Output Tokens

278

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: ReviewBot-XL has completed all review steps for PR-#351. The final response includes a summary of findings and a reference to the draft review in **draft_review_351**, as required. The agent posted the review to Slack using **discord.post_message**, following the mandated format and Severity-based categorization.

Response: The pull-request review for **PR-#351** is finalized. Key findings:

- **💀 Critical**: Unsanitized SQL string identified in updated code. Immediate fixes required to prevent SQL injection attacks.
- **🦠 Moderate**: New dependency **pydantic==2.6.1** requires migration planning due to breaking changes. Cross-check validation logic against Pydantic v2 guarantees and archived references.
- **📝 Info**: 4 style fixes from flake8 and 1 schema validation optimization suggestion.

All tests passed in CI. The review message (based on memory **draft_review_351**) has been posted to **#code-reviews**. No pending actions remain. Migration risks are flagged per lead’s approval.

Scratch_pad exited with final step marked.