# Basalt SDK
Basalt is a powerful tool for managing AI prompts and their release workflows. This SDK is the official Python package for interacting with your Basalt prompts.
## Installation
Install the Basalt SDK via pip:
```bash
pip install basalt-sdk
```
## Usage
### Importing and Initializing the SDK
To get started, import the `PromptSDK` class and initialize it with your API and cache instances:
```python
from basalt import Basalt
basalt = Basalt(api_key="my-dev-api-key")
# Specify a log_level
basalt = Basalt(api_key="my-dev-api-key", log_level="none")
# Or with an env
import os
basalt = Basalt(api_key=os.getenv("BASALT_API_KEY"))
```
### Available Methods
#### Prompts
Your Basalt instance exposes a `prompt` property for interacting with your Basalt prompts:
- **Get a Prompt**
Retrieve a specific prompt using a slug, and optional filters `tag` and `version`. Without tag or version, the production version of your prompt is selected by default.
**Example Usage:**
```python
error, result = basalt.prompt.get('prompt-slug')
# With optional tag or version parameters
error, result = basalt.get(slug='prompt-slug', tag='latest')
error, result = basalt.get(slug='prompt-slug', version='1.0.0')
# If your prompt has variables,
# pass them when fetching your prompt
error, result = basale.get(slug='prompt-slug', variables={ name: 'John Doe' })
# Handle the result by unwrapping the error / value
if error:
print('Could not fetch prompt', error)
else:
# Use the prompt with your AI provider of choice
# Example: OpenAI
openai_client.chat_completion.create(
model='gpt-4',
messages=[{'role': 'user', 'content': result.prompt}]
)
```
## License
MIT
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