Log media & attachments
Opik supports multimodal traces allowing you to track not just the text input and output of your LLM, but also images, videos and audio and any other media.

Logging Attachments
In the Python SDK, you can use the Attachment
type to add files to your traces.
Attachements can be images, videos, audio files or any other file that you might
want to log to Opik.
Each attachment is made up of the following fields:
data
: The path to the file or the base64 encoded string of the filecontent_type
: The content type of the file formatted as a MIME type
These attachements can then be logged to your traces and spans using The
opik_context.update_current_span
and opik_context.update_current_trace
methods:
The attachements will be uploaded to the Opik platform and can be both previewed and dowloaded from the UI.

In order to preview the attachements in the UI, you will need to supply a supported content type for the attachment. We support the following content types:
- Image:
image/jpeg
,image/png
,image/gif
andimage/svg+xml
- Video:
video/mp4
andvideo/webm
- Audio:
audio/wav
,audio/vorbis
andaudio/x-wav
- Text:
text/plain
andtext/markdown
- PDF:
application/pdf
- Other:
application/json
andapplication/octet-stream
Previewing base64 encoded images and image URLs
Opik automatically detects base64 encoded images and URLs logged to the platform, once an image is detected we will hide the string to make the content more readable and display the image in the UI. This is supported in the tracing view, datasets view and experiment view.
For example if you are using the OpenAI SDK, if you pass an image to the model as a URL, Opik will automatically detect it and display the image in the UI:

Downloading attachments
You can download attachments from the UI by hovering over the attachments and clicking on the download icon. SDKs methods are not yet available but it’s coming soon !
Let’s us know on Github if you would like to us to support additional image formats.