# billiez
Python package for interacting with NVIDIA's AI API
## Installation
```bash
pip install billiez
Usage
Basic Usage
import billiez
# Default usage
billiez()
# Generate AI response with default model
billiez(prompt="Tell me about AI")
Advanced Usage
import billiez
# Custom model and parameters
response = billiez(
model="meta/llama3-70b-instruct",
prompt="Explain quantum computing",
temperature=0.7,
max_tokens=1024,
stream=False
)
Parameters
model(str): AI model to use (default: "deepseek-ai/deepseek-r1-distill-qwen-7b")prompt(str): Your query for the AI (returns Craftguy info if None)temperature(float): Controls randomness (0.0-1.0)top_p(float): Controls diversity (0.0-1.0)max_tokens(int): Maximum length of responsestream(bool): Stream response if True
Requirements
- Python 3.6+
openaipackage
1 maintainer
Metadata
1 maintainer
Release files for billiez 0.2.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| billiez-0.2.2.tar.gz | 3.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| billiez-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.1 kB
Release files / billiez-0.2.2.tar.gz
| Download URL | billiez-0.2.2.tar.gz |
|---|---|
| Size | 3.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.10.11
|
Release files / billiez-0.2.2-py3-none-any.whl
| Download URL | billiez-0.2.2-py3-none-any.whl |
|---|---|
| Size | 3.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.11
|
Security for billiez 0.2.2
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