File size: 3,144 Bytes
10a0600
016e3e3
 
10a0600
016e3e3
10a0600
016e3e3
10a0600
016e3e3
 
 
 
10a0600
 
016e3e3
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
---
title: AnySecret Chat Assistant
emoji: πŸ”
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: true
license: mit
short_description: AI assistant for AnySecret configuration management
hardware: cpu-upgrade
---

# πŸ” AnySecret Chat Assistant

An AI-powered assistant specialized in AnySecret configuration management, trained to help with:

- **Multi-cloud configuration** (AWS, GCP, Azure, Kubernetes)
- **CLI commands** and usage patterns
- **CI/CD integration** (GitHub Actions, Jenkins, GitLab)
- **Python SDK** implementation
- **Security best practices** for secrets management
- **Migration guidance** from other tools

## πŸš€ Features

- **Specialized Knowledge**: Trained specifically on AnySecret documentation and patterns
- **Interactive Chat**: Real-time conversation interface
- **Code Examples**: Provides practical, copy-pasteable code snippets
- **Multi-cloud Expertise**: Understands differences between cloud providers
- **Production Ready**: Includes enterprise deployment guidance

## πŸ’¬ Example Questions

Try asking:
- "How do I configure AnySecret for AWS?"
- "Show me a GitHub Actions workflow with AnySecret"
- "What's the difference between secrets and parameters?"
- "How do I migrate from AWS Parameter Store?"
- "Can you show me Python SDK examples?"

## πŸ› οΈ Technical Details

- **Base Model**: Meta Llama 3.2 3B Instruct
- **Fine-tuning**: LoRA (Low-Rank Adaptation) on AnySecret-specific data
- **Training Data**: 43 curated examples across 7 categories
- **Framework**: Transformers + PEFT + Gradio

## πŸ“š Related Links

- **Website**: [anysecret.io](https://anysecret.io)
- **Documentation**: [docs.anysecret.io](https://docs.anysecret.io)
- **GitHub**: [anysecret-io/anysecret-lib](https://github.com/anysecret-io/anysecret-lib)
- **Commercial License**: [License Terms](https://github.com/anysecret-io/anysecret-lib/blob/main/LICENSE-COMMERCIAL)

## πŸ”§ Local Development

```bash
# Clone this space
git clone https://huggingface.co/spaces/anysecret-io/anysecret-chat
cd anysecret-chat

# Install dependencies
pip install -r requirements.txt

# Run locally
python app.py
```

## πŸ“– Model Information

This assistant uses a fine-tuned version of Llama 3.2 3B Instruct, specifically trained on AnySecret patterns and best practices. The model can:

- Generate CLI commands with proper syntax
- Explain configuration concepts clearly
- Provide code examples in multiple languages
- Suggest architectural patterns for different scales
- Help troubleshoot common issues

## ⚠️ Limitations

- **Training Data**: Based on AnySecret v1.x documentation
- **Not Official Support**: For production issues, use official support channels
- **General Purpose**: May not have latest feature updates
- **Experimental**: This is a demonstration of AI-assisted documentation

## πŸ“„ License

This chat interface is MIT licensed. The underlying AnySecret software is dual-licensed:
- **AGPL-3.0** for open source use
- **Commercial License** for business use

---

Built with ❀️ by the AnySecret team β€’ [Get Commercial License](https://anysecret.io/#license)