Add `COMPUTE_JOBS_STREAM_MAX_BYTES` and `COMPUTE_JOB_STATES_MAX_BYTES` to
environment example, worker server configuration, and deployment docs. These
variables allow tuning JetStream resource caps for job queue and state storage
to better fit deployment requirements.
Add a comprehensive Synadia Cloud and Railway setup guide to the compute worker
deployment docs, including step-by-step environment variable configuration and
example image tags. Update Vercel deployment instructions with a quick start for
external compute worker integration via Railway and Synadia NGS. Document new
`.env.prod` pattern in .gitignore for production environment management.
Expand compute worker documentation to explain NATS authentication using
either a credentials file or raw credentials string, including Synadia Cloud
integration steps. Update environment variable examples and server connection
logic to support both `NATS_CREDS_FILE` and `NATS_CREDS`. Add `.creds` to
.gitignore to avoid accidental credential leaks.
This improves deployment flexibility for cloud and on-prem environments by
supporting multiple authentication methods for NATS JetStream.
Replace Redis and BullMQ with NATS JetStream and KV for job queuing and state management
in the compute worker service. Update environment variables, Docker Compose, and documentation
to reflect the new message queue backend. Adjust dependencies and code to use NATS-based
work queue and key-value storage for durable job processing.
This change improves scalability and reliability of distributed compute workloads by leveraging
NATS JetStream's work queue and persistence features. Documentation and configuration examples
are updated to guide deployments using the new backend.
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.
