Skip to main content

qvac-sdk

Python SDK for Tether QVAC — local-first AI inference on any device.

QVAC runs AI models entirely on-device with no cloud dependency. This SDK provides a Pythonic interface to QVAC's inference capabilities: LLM completions, image generation, speech-to-text, translation, TTS, OCR, and embeddings.

Installation

pip install qvac-sdk

With OpenAI-compatible client support:

pip install qvac-sdk[openai]

Quick start

Direct API

from qvac_sdk import QVACClient

client = QVACClient()  # connects to local QVAC instance

# LLM completion
response = client.complete("Explain quantum computing in one paragraph")
print(response.text)

# Streaming
for chunk in client.complete_stream("Write a haiku about edge AI"):
    print(chunk.text, end="")

Async

from qvac_sdk import AsyncQVACClient

async def main():
    client = AsyncQVACClient()
    response = await client.complete("Hello from async Python")
    print(response.text)

OpenAI-compatible mode

QVAC exposes an OpenAI-compatible API via qvac serve openai. This SDK wraps it natively:

from qvac_sdk.openai_compat import QVACOpenAI

client = QVACOpenAI()  # points to local QVAC OpenAI endpoint

response = client.chat.completions.create(
    model="local",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Speech-to-text

transcript = client.transcribe("meeting.wav")
print(transcript.text)

Image generation

image = client.generate_image("A cat riding a bicycle", width=512, height=512)
image.save("cat.png")

Embeddings

vectors = client.embed(["sentence one", "sentence two"])
print(vectors.shape)  # (2, 384)

Configuration

client = QVACClient(
    base_url="http://localhost:8080",  # QVAC instance URL
    timeout=30.0,                       # request timeout in seconds
    model="default",                    # model name override
)

Environment variables:

Variable Default Description
QVAC_BASE_URL http://localhost:8080 QVAC API endpoint
QVAC_TIMEOUT 30.0 Request timeout (seconds)
QVAC_MODEL default Default model name

Supported capabilities

Capability Method Status
LLM completion complete() / complete_stream() Planned
Chat (multi-turn) chat() / chat_stream() Planned
Speech-to-text transcribe() Planned
Translation translate() Planned
Text-to-speech speak() Planned
Image generation generate_image() Planned
OCR ocr() Planned
Embeddings embed() Planned
LoRA fine-tuning finetune() Planned
OpenAI compat qvac_sdk.openai_compat Planned

Development

git clone https://github.com/kinance/qvac-sdk
cd qvac-sdk
pip install -e ".[dev]"
ruff check .
mypy src/
pytest

License

Apache 2.0 — same as QVAC.

Metadata

Release files for qvac-sdk 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for qvac-sdk 0.1.0
File Size Uploaded Provenance Actions
qvac_sdk-0.1.0.tar.gz 6.8 kB Without provenance Details for qvac_sdk-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for qvac-sdk 0.1.0
File Interpreter ABI Platform Actions
qvac_sdk-0.1.0-py3-none-any.whl Python 3 none any Details for qvac_sdk-0.1.0-py3-none-any.whl

Total release size: 14.5 kB

Release files / qvac_sdk-0.1.0.tar.gz

Download URL qvac_sdk-0.1.0.tar.gz
Size 6.8 kB
Tags Source
SHA-256 checksum
How to use checksums
15803e035fd74b94d4f5a7fb28be7fe2b17b93eefc87cee84fb542dfeb18e3f1
BLAKE2b-256 checksum
How to use checksums
c3cff20679f13cb33d99a55df4b81fc5991ab063420378003c14c2612211f93a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.3

Release files / qvac_sdk-0.1.0-py3-none-any.whl

Download URL qvac_sdk-0.1.0-py3-none-any.whl
Size 7.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4febb537738e48c691dade7e478d6b1e63c83e970de6d1bc14b54cd4d039dd22
BLAKE2b-256 checksum
How to use checksums
6f7a80bfbac7b1fc1699402b459adff02d82d867dac85dd43bdd57a51371f653
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.3

Security for qvac-sdk 0.1.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page