openreader/compute/core/package.json
Richard R f1aa1c3e3b feat(compute): add external compute worker backend and integration
Introduce support for external compute worker mode (`COMPUTE_MODE=worker`) using a new `WorkerComputeBackend`. This enables offloading heavy ONNX Whisper alignment and PDF layout parsing to a standalone worker service (Redis + BullMQ), improving scalability and compatibility with serverless/limited environments.

- Add `@openreader/compute-core` as a shared package for ONNX inference and PDF parsing logic.
- Implement `WorkerComputeBackend` and worker contract/types for remote job execution.
- Update compute backend selection logic and remove previous worker mode guards.
- Extend `WhisperAlignInput` and `PdfLayoutInput` types to support object keys for remote data access.
- Refactor local compute backend to use `@openreader/compute-core` and support both buffer and object key inputs.
- Update job runner, TTS segment alignment, and PDF layout parsing flows to use new compute backend APIs.
- Add scripts, Docker workflow, and documentation for deploying and running the compute worker.
- Update environment variable docs and examples for worker mode, including storage requirements and configuration.
- Document published images and stack changes to reflect the new compute worker architecture.

BREAKING CHANGE: `COMPUTE_MODE=worker` now requires an external compute worker service and S3-compatible object storage. Embedded SeaweedFS (`weed mini`) is not supported in worker mode. See the new documentation for deployment and configuration details.
2026-05-19 15:21:25 -06:00

17 lines
366 B
JSON

{
"name": "@openreader/compute-core",
"version": "0.0.0",
"private": true,
"type": "module",
"dependencies": {
"@huggingface/tokenizers": "^0.1.3",
"@napi-rs/canvas": "^0.1.100",
"ffmpeg-static": "^5.3.0",
"jszip": "^3.10.1",
"onnxruntime-node": "^1.26.0",
"pdfjs-dist": "4.8.69"
},
"exports": {
".": "./src/index.ts"
}
}