Agents – mistral/mistral-large-eu Task | Opper AI

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.

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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: 1. The task is to inspect the PR diff again and determine the next action.
2. The context provides a detailed trajectory of the actions taken so far, including fetching the PR diff, running tests, linting, security scans, and dependency checks.
3. The current step is to publish the final review using the draft stored in memory key 'draft_review_351'.
4. The instructions specify a clear sequence of actions, including fetching the PR diff, running tests, performing static analysis, researching new dependencies, drafting a review message, and posting the review.
5. Given that the review draft is already prepared and approval has been granted, the next action is to post the review message to the #code-reviews Discord channel.

Response: Post the review message stored in memory key 'draft_review_351' to the #code-reviews Discord channel using the discord.post_message action.