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wrapAISDK copies AI SDK v7 file bytes one key per byte instead of turning them into attachments #2750
With ai 7.0.145 and braintrust 3.32.0, file parts reach the doStream model span as { type: 'file', mediaType, data: { type: 'data', data: Uint8Array } }, the AI SDK 7 shape (SharedV4FileData). processContentPart passes part.data, the wrapper object, to convertDataToAttachment, which only handles a string, Uint8Array, Buffer or Blob, so no attachment is made. deepCopyEvent then runs JSON.stringify and JSON.parse on the raw Uint8Array, which becomes an object with one key per byte.
The same code is in 3.43.0 and on main as of e0b7107.
Impact
1 MB of image bytes becomes 1,000,000 keys and about 120 MB of heap on every model call. We call Claude through Vertex, which takes no image URLs, so the AI SDK downloads every image in the conversation and each call carries all of them. A chat with 25 MB of images pushed the heap to about 3.1 GB, and our 4 GB serverless instances were killed for memory.
On a single 38-image call (24.5 MB of images), the heap peaked at 2,651 MB with wrapAISDK and at 117 MB without it, and deepCopyEvent alone allocated 5.4 GB.
Reproduction
processContentPart leaves this shape untouched, so the model span event is copied like this.
import{deepCopyEvent}from'braintrust';constcopy=deepCopyEvent({input: [{type: 'file',mediaType: 'image/png',data: {type: 'data',data: newUint8Array(1_000_000)}}],});// copy.input[0].data.data is a plain object with 1,000,000 keys, about 11 MB of JSON
Workaround we use
A one-line change in processContentPart, applied with pnpm patch to every build in dist, fixes it for us.
With it, the same 38-image call peaked at 130 MB of heap with tracing on. A complete fix could also handle { type: 'url' } and the other SharedV4FileData variants in convertDataToAttachment.
Environment
braintrust 3.32.0, also seen at runtime on 3.42.0 and in the source of 3.43.0
ai 7.0.145 with @ai-sdk/google-vertex 5.0.117 (Anthropic on Vertex)
Activity