Instructions to use Open-VPS/ai-console with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Open-VPS/ai-console with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Open-VPS/ai-console", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files# ๐ OpenVPS AI Console
**OpenVPS AI Console** is a centralized, intelligent control panel and model designed to streamline server management, automate workflows, and empower developers with advanced AI capabilities. Built for modern infrastructure, it seamlessly integrates with AI agents and automation pipelines.
## ๐ Key Features
* **Intelligent Automation:** Designed to work smoothly with workflow engines and AI agents for autonomous server management.
* **Model Context Protocol (MCP) Ready:** Optimized to integrate with MCP servers for secure and contextual data access.
* **API-First Design:** Easy integration with external applications, webhooks, and serverless architectures.
* **Optimized for Tech Operations:** Specifically structured to understand and process system administration, DevOps commands, and cloud infrastructure queries.
## ๐ ๏ธ Usage & Integration
### Prerequisites
Make sure you have the required environment variables set up, including your Hugging Face token if you are accessing restricted endpoints.
### Quick Start
If you are using this as a standard Hugging Face model via `transformers` or standard API endpoints:
```python
from transformers import pipeline
# Initialize the OpenVPS AI Console model
ai_console = pipeline("text-generation", model="Open-VPS/ai-console")
prompt = "Analyze the following server logs and suggest optimization steps:"
response = ai_console(prompt, max_length=200)
print(response[0]['generated_text'])
```
*Note: Adjust the pipeline task based on the final architecture of the model (e.g., conversational, text2text-generation).*
## ๐ API Endpoints (If deployed as an API)
You can directly interact with the AI Console via API calls. Example using `curl`:
```bash
curl -X POST "[https://api-inference.huggingface.co/models/Open-VPS/ai-console](https://api-inference.huggingface.co/models/Open-VPS/ai-console)" \
-H "Authorization: Bearer YOUR_HF_TOKEN" \
-H "Content-Type: application/json" \
-d '{"inputs": "Deploy a new environment with standard security protocols."}'
```
## ๐ Security & Compliance
* **Access Control:** Ensure proper token management when integrating with live OpenVPS environments.
* **Data Privacy:** This model/interface is designed to process logs and configurations. Avoid hardcoding sensitive API keys or passwords in the prompts.
## ๐ License
This project is licensed under the **Open Software License 3.0 (OSL-3.0)**. See the License metadata for more details.
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