vondr 0.2.2

Python client for the Vondr AI Platform.

vondr

Python client for the Vondr AI Platform.

Installation

pip install vondr

Quick Start

from vondr import VondrClient

# Set environment variables or pass directly
# VONDR_API_KEY=your-api-key
# VONDR_BASE_URL=https://{HOSTNAME}-api.vondr.ai/v1

client = VondrClient()
response = client.chat([
    {"role": "user", "content": "Hello!"}
])
print(response.choices[0].message.content)

Chat Completion

response = client.chat(
    messages=[{"role": "user", "content": "Explain quantum computing"}],
    model="vondr-fast",  # or vondr-code, vondr-think
    temperature=0.7,
    max_tokens=4096,
)
print(response.choices[0].message.content)

Embeddings

response = client.embed(
    input=["Hello world", "Goodbye world"],
    model="vondr-embed",
)
for item in response.data:
    print(f"Embedding {item.index}: {len(item.embedding)} dimensions")

Rerank

response = client.rerank(
    query="capital of France",
    documents=["Paris is in France", "Berlin is in Germany"],
    model="vondr-rerank",
)
for result in response.results:
    print(f"Document {result.index}: score {result.relevance_score:.3f}")

Vision (Images)

from vondr import VondrClient, encode_image

# Encode image from file path
image_uri = encode_image("/path/to/image.jpg")

client = VondrClient()
response = client.chat([
    {
        "role": "user",
        "content": [
            {"type": "text", "text": "What's in this image?"},
            {"type": "image_url", "image_url": {"url": image_uri}}
        ]
    }
])
print(response.choices[0].message.content)

Async Client

from vondr import AsyncVondrClient

client = AsyncVondrClient()
response = await client.chat([
    {"role": "user", "content": "Hello!"}
])
print(response.choices[0].message.content)

Available Models

Model	Description
vondr-fast	Fast general-purpose model
vondr-code	Optimized for code generation
vondr-think	Reasoning model with thinking budget
vondr-embed	Text embeddings
vondr-rerank	Document reranking

Configuration

Environment Variable	Description
VONDR_API_KEY	Your API key
VONDR_BASE_URL	API base URL (e.g., https://{HOSTNAME}-api.vondr.ai/v1)

Development

Install Poetry (pipx install poetry recommended).

poetry install
poetry run pytest

Release

Set your token before publishing: POETRY_PYPI_TOKEN_PYPI (or POETRY_PYPI_TOKEN_TESTPYPI when targeting TestPyPI).

Using PowerShell script:

./scripts/release.ps1 -Version 0.2.1          # publish to PyPI
./scripts/release.ps1 -Version 0.2.1 -Repository testpypi  # publish to TestPyPI

The script will bump the version in pyproject.toml, install deps, run tests, build wheel+sdist, publish, then commit/tag/push if a git remote exists.

Manual release:

poetry version 0.2.1
poetry build
export POETRY_PYPI_TOKEN_TESTPYPI="your-token"
poetry publish -r testpypi

export POETRY_PYPI_TOKEN_PYPI="your-token"
poetry publish