Support for more modalities and base64 content #3004
Replies: 18 comments 17 replies
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+1 base64 image (most wanted) I dont need to support video in my use-case |
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Great! The dataset also need to support Multi-Modal input. Looking forward! |
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Eagerly awaiting base64 support, especially in markdown |
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A few double clicks on base64 as reactions to our most recent newsletter |
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base64 images for sure. |
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+1 b64 images. Seems like the very next thing to support. Schema seems well established at this point. |
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Base64 images for multimodal models is the missing feature that is holding us back from using Langfuse. PDF attachments would also be very helpful. |
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Bas64 or image url would be great to support |
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Audio is mission critical for us |
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just here to add my support for base64 (because claude) |
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this is on the near-term roadmap, @hassiebp is working on it and specs look great, can't wait for the release! |
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Here to support Audio, PDF source. |
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+1 base64 (because claude) |
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+1 base64 image (because claude) |
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Good news - we have just launched multimodal support in beta! 🎨 Please let us know your feedback here or create an issue if you encounter any bugs. Thanks! 🙏🏾 |
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vLLM multi-modal format, please! Here is an example from the vLLM docs:
It would also be great to add support for .ogg and .oga audios. |
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I've encountered an issue. Please have a look. |
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Does this support Anthropic models via AWS Bedrock using langchain or is there a better way?
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Describe the feature or potential improvement
After our latest release supporting images (passed via url) in Langfuse, we're looking to support other modalities soon.
We're committed to supporting base64 images in the near term. We're further planning support for audio, video, and attachments (e.g. PDFs).
We'd love to gauge interest across the modalities to help with most efficient prioritisation.
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