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A library for prototyping generative AI applications.

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The "metadata" role allows creating a content item in the "llm-content" array that is filtered out when sent to the model.

A great use case from @jig925: https://huggingface.co/docs/api-inference/detailed_parameters?code=curl#automatic-speech-recognition-task The REST API literally takes binary file as an input. What do we do here?

To be more effective at updating the DOM tree, we need to teach the `graphchange` event to give more details about the change itself, particularly if the change impacts the...

More than likely part of the Gemini Kit, this node will take any text or stream content and turn it into `llm-content` object. For example: - I point `core.fetch` to...

Long Node Titles should get an ellipsis “...” in the Graph instead of pushing the node wider.

https://ai.google.dev/api/rest/v1beta/GenerationConfig > Optional. Output response mimetype of the generated candidate text. Supported mimetype: text/plain: (default) Text output. application/json: JSON response in the candidates. This is pretty neat!

While chatting with @kex103, this idea came up: What if we mashed a kit and a node proxy server into a "kit as a service?" Basically: - There's a server...

Currently there's a strange dance getting the data out of the node info form, which involves some serialization & deserialization steps. I think there's a way to do it without,...