Move shared type contracts from `contracts` to new `api-contracts` module in `compute/core` for clearer API boundaries. Remove legacy `contracts`, `pdf`, and `whisper` index files. Update all imports to use `api-contracts`. Refactor server job logic by replacing `parsePdfJob.ts` with modular `user-pdf-layout-job.ts` and `user-whisper-align-job.ts`, updating all relevant API routes and compute integration. This improves maintainability and separation of concerns across compute and server layers.
Move and re-export all PDF parsing and TTS-related types from
@openreader/compute-core/types, eliminating local type duplication.
Update imports throughout the codebase to use the new centralized type
module. Remove obsolete worker-contract file and update tsconfig paths
and compute-core exports for the new types entry point. Refactor API
routes and job logic to use the new type imports and shared parse-state
healing utility. This streamlines type management and improves
consistency between compute and app layers.
Standardize compute job concurrency configuration by introducing a shared
COMPUTE_JOB_CONCURRENCY setting, replacing separate PDF and Whisper concurrency
controls. Add cross-platform CPU core detection and thread budgeting utilities,
and update both ONNX model execution and concurrency limiters to use dynamic
thread allocation per job. Refactor environment variable docs and examples to
reflect unified concurrency management. Streamline PDF.js font path resolution
for improved reliability across environments.
Introduce detailed progress reporting for PDF layout parsing, exposing phase and page-level updates to clients. Replace legacy parseStatus with a structured parseState field in the database schema, updating all relevant backend and API logic. Add SSE endpoint for real-time parse progress updates. Update client hooks and UI to reflect granular progress and improve user feedback during document parsing. Includes migration scripts and new parse-state utility module.
Migrate worker and backend contract to an operation-centric model, introducing opKey-based deduplication for Whisper alignment and PDF layout parsing. Add new operation request/state types and update worker endpoints to accept generic operation requests and expose operation status via SSE. Refactor client and server logic to support operation flows. Update deployment docs, environment examples, and Dockerfile to reflect new architecture and dependency management.
Add ability to fetch parsed documents using a stored S3 key, enabling more flexible blob access patterns. Update API route to prefer `parsedJsonKey` if present, falling back to legacy lookup. Introduce `COMPUTE_WORKER_WAIT_TIMEOUT_MS` environment variable for customizing worker job wait time, with a new default of 120 seconds. Update documentation and examples to reflect these changes.
Update worker server to prioritize platform-specific PORT environment variable
when setting the compute worker port. Add robust normalization for
COMPUTE_WORKER_URL, ensuring proper scheme and validation, and trim trailing
slashes for consistency. This enhances reliability in diverse deployment
environments.
Update backend creation logic to consistently determine compute mode using
a local variable, ensuring correct handling when the mode is undefined. This
improves clarity and robustness in backend selection.
Update compute backend interfaces and job logic to consistently handle parsed
PDF layout results as either direct data or S3 object key references. Refactor
result types, local and worker backends, and job processing to support this
pattern. Improves flexibility for large document parsing and object storage
integration.
Restructure compute core by extracting job contracts and runtime logic into separate
modules (`contracts.ts`, `local-runtime.ts`) for improved modularity and clearer
API boundaries. Update exports and imports across worker, server, and local
compute backends to use the new modules. Enhance Next.js config to support
dynamic backend selection via build-time constants and aliasing, enabling
seamless switching between local and worker compute modes. Adjust TypeScript
paths and Dockerfile entrypoint to align with the new structure.
Refactor compute backend initialization to use asynchronous loading and promise caching, replacing previous synchronous singleton pattern. Update all consumers—including TTS segment alignment and PDF layout parsing jobs—to await compute backend resolution before invoking methods. This change improves compatibility with dynamic imports and future-proofs backend selection logic.
Eliminate the "none" compute mode and all related code paths, including the NoneComputeBackend, "unsupported" parse status, and PDF margin settings. Parsing is now always available if the app starts successfully, and configuration is limited to "local" or "worker" compute modes. Update types, API routes, client adapters, and documentation to reflect this simplification.
BREAKING CHANGE: "none" is no longer a valid COMPUTE_MODE; only "local" and "worker" are supported. "unsupported" parse status and PDF margin settings are removed.
Introduce WorkerJobTiming interface to capture queue wait, S3 fetch, and compute
durations for compute worker jobs. Update job result and status response types
to include timing data. Enhance worker implementation to record and attach
timing metrics for alignment jobs, improving observability of job processing
latency. Update exports and type usage to support new timing fields.
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.
- Replace `OPENREADER_COMPUTE_MODE` and related variables with `COMPUTE_MODE`
- Replace `OPENREADER_*` PDF/Whisper model URLs with `PDF_LAYOUT_MODEL_BASE_URL` and `WHISPER_MODEL_BASE_URL`
- Remove legacy `NEXT_PUBLIC_*` runtime config seeds in favor of `RUNTIME_SEED_*`
- Update documentation, code, and environment references to match new variable names
- Remove deprecated `scripts/fetch-models.mjs` and related npm script
- Update runtime config SSR injection from `window.__OPENREADER_RUNTIME_CONFIG__` to `window.__RUNTIME_CONFIG__`
- Adjust Next.js config to use new compute mode env var and optimize output file tracing for ONNX dependencies
BREAKING CHANGE: Environment variable names for compute mode, model URLs, and runtime config seeding have changed. Update `.env` files and deployment configs to use `COMPUTE_MODE`, `PDF_LAYOUT_MODEL_BASE_URL`, `WHISPER_MODEL_BASE_URL`, and `RUNTIME_SEED_*` as appropriate. Legacy `OPENREADER_*` and `NEXT_PUBLIC_*` variables are no longer supported.
Replace the previous whisper.cpp-based word alignment with a fully ONNX-based
implementation using onnxruntime-node and @huggingface/tokenizers. Add new
Whisper ONNX model management, alignment mapping, and spectral analysis modules.
Remove all code and documentation referencing whisper.cpp, update environment
variables, Dockerfile, and docs to reflect ONNX-only alignment. Add unit tests
for alignment and ONNX model logic.
Migrate PDF parsing to use ONNX Docling layout model for structured block extraction, enabling improved TTS segmentation and chaptering. Add compute backend abstraction for heavy tasks (alignment, layout parsing) with configuration via `OPENREADER_COMPUTE_MODE`. Integrate block-level locators and document settings for per-document PDF parsing options. Update S3 storage for parsed PDF JSON, add migration and schema changes, and extend client and server APIs for parsed data and settings. Remove legacy word highlight flag in favor of compute capability detection.
- Add ONNX model download, local/none compute modes, and `onnxruntime-node` dependency
- Update PDF viewer and TTS pipeline to use parsed blocks and block-level locators
- Add document settings storage and APIs for per-document PDF options
- Update S3 storage layout for parsed PDF JSON
- Add admin/config/docs updates for new compute and parsing features
- Remove obsolete word highlight runtime flag and UI
BREAKING CHANGE: PDF parsing and word highlighting now require `OPENREADER_COMPUTE_MODE=local` and ONNX model; document settings and S3 layout updated; legacy word highlight flag removed.
