In this case i'm using the model 4o-mini

This looks awesome. How about copilot?

No api no party 🥲 It's not supported for third-party integration.

If the token is invalid or another error occurs, should we provide feedback to the user, and if so, in what form? 🤔

For me, the simplest solution is to use https://reka-ui.com/docs/components/toast to launch a simple toast.
This notifies the user. Or add a red banner with the usual X to remove the warning.

How about just alert('msg')? :)

https://www.youtube.com/watch?v=Psz4F7f5fRU

Basically, the prompt needs to be optimised, because there are cases where it doesn't do what I expect. I need to figure out how to manage the prompt. The idea is to improve the context based on the type of project, whether it is Laravel, Symfony, or something else. Then, it takes the vendor to see what is installed and also sees where the cursor is located.
For example: Is it located in a comment? If so, suggest completing the comment; if it is located after a piece of code, suggest completing that code, and so on. To do this, we need to establish rules for building the context. I don't want to recreate a copilot, but rather create a basic yet solid foundation. I don't want to reinvent the wheel. I'm searching online to see if there is a package or code that already exists so I can understand how they manage it and “adapt” it to our needs. As I find ideas or packages, I will update you.

Okay, that should do it.

The file that defines the contextual AI completion prompt is complete. It works by analyzing the user's position and actions to decide what type of assistance to provide (comment completion, code from comment, and code completion). The main logic doesn't use a single approach but instead routes the request to three different specialized prompts, each optimized for a specific task.

The first case is triggered when the user writes a comment and moves to a new empty line; here, the service understands that the intent is to translate the comment into executable code and uses a prompt focused on "translating" from natural language to PHP. The second case occurs when the cursor is inside an existing comment line; the service selects a prompt specifically designed to continue writing the comment's text in a natural and descriptive way. Finally, if neither of the previous scenarios is active, a default prompt is used the most rigid and technical one whose sole purpose is to complete the current line of code with valid, brief, and precise syntax. This three-prompt strategy allows it to offer much more accurate and relevant suggestions than a generic approach, as each prompt is finely calibrated with specific instructions and examples for its single purpose, distinguishing between code generation, code completion, and comment writing.
They are calibrated to run on Laravel.

Review Notes / Feedback (suggestions)

• Labels - Simplify and ensure consistency across the interface.
• Default Provider - Keep OpenRouter selected by default.
• Provider List - Sort providers in alphabetical order for easier navigation.

I've testing again 🙌

@ILDaviz can we make the prompt customizable by the user instead of hard-coding it please?

also this