Inference SDK v0.1.2
The first public compiled release of @bitdeep/inference-sdk.
The SDK coordinates LLM, ASR and TTS requests, demand loading, idle unload and model handoffs through one process-local GPU owner. It includes adapters for vLLM, Speaches/Whisper, Chatterbox, Qwen3, Kokoro and Text Embeddings Inference.
Version 0.1.2 adds the public distribution metadata and architecture guide to the existing implementation. Runtime behavior is unchanged from 0.1.1.
Download
- Download
inference-sdk-0.1.2.tar.gzandSHA256SUMS. - Run
sha256sum --check SHA256SUMS. - Extract the archive and verify its files against
MANIFEST.json. - Install or vendor the extracted directory through your application's dependency import process, pinning its version and manifest hash.
The archive contains compiled JavaScript, TypeScript declarations, package metadata, documentation and licensing. It has no third-party runtime dependencies and includes no model weights, customer data or deployment configuration. The package is not published to npm.
Node 26 is required. FFmpeg is required in the worker image for MP3 conversion and multi-part speech.
Validation: typecheck, 60 unit tests and the compiled build passed for this release. The unchanged engine implementation previously passed real FFmpeg checks and a synthetic GPU flow across chat and speech, including ASR reload. These are functional checks, not performance benchmarks.
Read the quickstart and architecture guide before sharing a GPU. Authentication, queues and customer isolation remain the application's responsibility.