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QVAC now has a Python SDK. Not a port and not a subset. The Python client is generated against the same contract the TypeScript SDK speaks, and it drives the same worker, so the same call returns the same result. Python SDK install command: pip install tetherto-qvac-sdk -f

18,316,593 Aufrufe • vor 2 Monaten •via X (Twitter)

9 Kommentare

Profilbild von QVAC
QVACvor 2 Monaten

Parity is enforced, not promised. The Python package version is the @qvac/sdk version it speaks. 0.17.1 talks to worker 0.17.1, and the client warns you at runtime if the two drift apart.

Profilbild von QVAC
QVACvor 2 Monaten

It speaks notebook. tetherto.qvac_sdk.notebook.SyncClient runs the async client on a background thread, so every call is plain and blocking, with numpy and pandas returns and live streaming inside the cell. pip install "tetherto-qvac-sdk[notebook]"

Profilbild von QVAC
QVACvor 2 Monaten

Everything the TypeScript SDK does: LLM completion, embeddings, transcription, text to speech, OCR, translation, image generation, audio generation, and vision-language-action. Twenty runnable examples ship with it, a Jupyter notebook among them.

Profilbild von QVAC
QVACvor 2 Monaten

Local-first, private, peer-to-peer, cross-platform, Apache 2.0. Asyncio-native, Python 3.10 and up.

Profilbild von Namnin 🌊
Namnin 🌊vor 2 Monaten

QVAC 볼때마다 크바만 생각난다고~ @2_bp19

Profilbild von Balta
Baltavor 2 Monaten

Mind looking into solana:EVULoNF4DeMBN4dGiZiDfpiiTfNZgoCvXWWgaV3epump ? Got some insane tech behind it , rly usefull for devs and builders

Profilbild von AI Mastery Guide
AI Mastery Guidevor 2 Monaten

Same result across languages, clean

Profilbild von MD RONEY
MD RONEYvor 2 Monaten

?

Profilbild von Edimoya📸
Edimoya📸vor 2 Monaten

🤏🏽🤏🏽🔥🔥

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QVAC SDK 0.15.0 is live. This release adds multiple prompts batching, brings a native AMD GPU backend to the stack, moves more vision encoders onto mobile GPUs, and adds a second local coding-agent integration. Main highlights: - Prompt batching for the LLM addon. Batch multiple prompts into one job and process them concurrently, with each answer returned the moment its generation finishes. - Native AMD GPU backend. A first-class HIP/ROCm backend in @qvac/vla-ggml, auto-selected over Vulkan with clean fallback when ROCm is absent. - A second local coding agent. OpenClaw joins OpenCode for local, cloud-free agent workflows. AGENTS - OpenCode plugin update (@qvac/opencode-plugin). Aligned with the current SDK, CLI, and AI SDK provider packages. A fresh install runs OpenCode against managed local QVAC models out of the box, from the default qvac/qwen3.5-9b, with no manual qvac serve setup. - OpenClaw plugin (@qvac/openclaw-plugin). A second coding-agent integration alongside OpenCode. A fresh setup installs the plugin, creates a local qvac provider through onboarding, and runs a QVAC model through OpenClaw🦞's local service path. LANGUAGE MODELS - Prompt batching (LLM addon). Batch multiple prompts in one job and run them concurrently, each answer returns the moment its generation finishes, no waiting on the others. - Reasoning-context trimming on hybrid + recurrent models (@qvac/llm-llamacpp). remove_thinking_from_context now works beyond pure-attention models. Same JS API, no throw. VOICE AND SPEECH - Transcription (transcription-parakeet 0.9.0). More robust CPU fallback on GPU failure and a faster Vulkan backend on Pixel 9. - Text-to-speech features (tts-ggml 0.4.0). Adds LavaSR for noise removal and adjustable output frequency up to 48 kHz, plus Japanese via Chatterbox. - Text-to-speech fixes (tts-ggml 0.4.1). CPU fallback on GPU failure, a q8_0 KV crash fix on Metal with Chatterbox. VISION - Qwen3.5 vision encoder on GPU (Android). Image encoder moves onto the phone GPU, with a smarter tile-grid preprocessor and default image-token caps, for flagship Android: Vulkan on Mali (Pixel 9 Pro) and OpenCL on Adreno 830 (Galaxy S25). - Gemma-4 vision encoder on GPU (Android). Vision encoder runs on the phone GPU instead of CPU, same flagship Android targets. PLATFORM AND PERFORMANCE - AMD GPU backend (@qvac/vla-ggml). Native HIP/ROCm backend, auto-selected over Vulkan with clean fallback when ROCm is absent (Linux x64 only). Comes with ~23% faster than Vulkan, ~14% faster than PyTorch-ROCm, parity preserved. Unified code style. A cleaner, more consistent, easier-to-contribute codebase. Let's build. npm install @qvac/sdk

QVAC

29,260,217 Aufrufe • vor 3 Monaten