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The process basically came down to figuring out the position and size of the block node, given a selection of an entire top-level node or just its child node (source code):
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The buttons had to be absolutely positioned, which required both a custom TipTap extension and tapping deeper into the underlying ProseMirror (both libraries powering the Vrite editor).
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Unfortunately, the official Node.js SDK doesn’t support streaming and requires you to use workarounds to get it working, resulting in much more code required, just to connect with the API (source code):
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The EventSource Web API for handling SSEs (built into most modern browsers) unfortunately supports only GET requests, which was quite limiting when a POST request with larger body JSON data was required. As an alternative, you can use the Fetch API or a ready library like Microsoft’s Fetch Event Source.
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The buttons had to be absolutely positioned, which required both a custom TipTap extension and tapping deeper into the underlying ProseMirror (both libraries powering the Vrite editor).
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Again, with streaming enabled, you’ll now receive new tokens as soon as they’re available. Given that OpenAI’s API uses Markdown in its response format, a full message will need to be put together from the incoming tokens and parsed to HTML, as accepted by the replaceContent function. For this purpose, I’ve used the Marked.js parser.
