# DevShakti AI SDK
Python SDK for Shakti AI - An OpenAI-compatible LLM API.
## 🚀 Installation
```bash
pip install devshakti-ai
```
## 📚 Documentation
Full documentation, interactive playground, and API reference available at:
### **🔗 https://shakti-one.vercel.app**
## ⚡ Quick Start
```python
from shakti import ChatShakti
import json
# Initialize client
client = ChatShakti(api_key="sk-your-api-key")
# Simple completion
response = client.chat.completions.create(
messages=[{"role": "user", "content": "Hello"}]
)
print(response['choices'][0]['message']['content'])
```
## 🎯 Streaming Example
```python
from shakti import ChatShakti
import json
client = ChatShakti(api_key="sk-your-api-key")
# Streaming response
for chunk in client.chat.completions.create(
messages=[{"role": "user", "content": "Tell me a story"}],
stream=True
):
chunk_dict = json.loads(chunk)
content = chunk_dict['choices'][0]['delta'].get('content', '')
if content:
print(content, end='', flush=True)
```
## 🎨 Custom Configuration
```python
from shakti import ChatShakti
# Custom base URL and parameters
client = ChatShakti(
api_key="sk-your-api-key",
base_url="https://devshakti.serveo.net" # Optional
)
response = client.chat.completions.create(
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Hello!"}
],
model="shakti-01-chat",
temperature=0.7,
max_tokens=1024,
stream=False
)
```
## ✨ Features
- ✅ **OpenAI-compatible API** - Easy migration from OpenAI
- ✅ **Streaming support** - Real-time token streaming
- ✅ **Simple Python interface** - Clean, intuitive SDK
- ✅ **Free tier available** - Get started at no cost
- ✅ **Fast responses** - 2-3 second average latency
- ✅ **Rate limiting** - 60 requests/min, 150k tokens/min
## 🔧 API Endpoints
- **Base URL**: `https://devshakti.serveo.net`
- **Chat Completions**: `/v1/chat/completions`
- **Models**: `/v1/models`
- **Health Check**: `/health`
## 📝 Basic Usage
### Simple Request
```python
response = client.chat.completions.create(
messages=[{"role": "user", "content": "What is Python?"}]
)
```
### With System Prompt
```python
response = client.chat.completions.create(
messages=[
{"role": "system", "content": "You are a coding expert."},
{"role": "user", "content": "Explain async/await"}
]
)
```
### Streaming Tokens
```python
for chunk in client.chat.completions.create(
messages=[{"role": "user", "content": "Write a poem"}],
stream=True
):
# Process each token as it arrives
chunk_dict = json.loads(chunk)
content = chunk_dict['choices'][0]['delta'].get('content', '')
if content:
print(content, end='', flush=True)
```
## 🔑 Get Your API Key
Visit **https://shakti-one.vercel.app** to:
- 🔐 Generate your free API key
- 🎮 Try the interactive playground
- 📖 Read full documentation
- 💻 See more code examples
## 📊 Rate Limits
- **Requests**: 60 per minute
- **Tokens**: 150,000 per minute
- **Concurrent**: 10 requests
## 🛠️ Requirements
- Python 3.7+
- `requests` library (installed automatically)
## 🤝 Support
- **Documentation**: https://shakti-one.vercel.app
- **GitHub Issues**: https://github.com/shivnathtathe/shakti-sdk/issues
- **Email**: sptathe2001@gmail.com
## 📄 License
MIT License - See [LICENSE](LICENSE) file for details.
## 🌟 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
---
<div align="center">
Made with ❤️ by Shivnath Tathe
**[Get Started →](https://shakti-one.vercel.app)**
</div>
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"description": "# DevShakti AI SDK\r\n\r\nPython SDK for Shakti AI - An OpenAI-compatible LLM API.\r\n\r\n## \ud83d\ude80 Installation\r\n\r\n```bash\r\npip install devshakti-ai\r\n```\r\n\r\n## \ud83d\udcda Documentation\r\n\r\nFull documentation, interactive playground, and API reference available at:\r\n\r\n### **\ud83d\udd17 https://shakti-one.vercel.app**\r\n\r\n## \u26a1 Quick Start\r\n\r\n```python\r\nfrom shakti import ChatShakti\r\nimport json\r\n\r\n# Initialize client\r\nclient = ChatShakti(api_key=\"sk-your-api-key\")\r\n\r\n# Simple completion\r\nresponse = client.chat.completions.create(\r\n messages=[{\"role\": \"user\", \"content\": \"Hello\"}]\r\n)\r\nprint(response['choices'][0]['message']['content'])\r\n```\r\n\r\n## \ud83c\udfaf Streaming Example\r\n\r\n```python\r\nfrom shakti import ChatShakti\r\nimport json\r\n\r\nclient = ChatShakti(api_key=\"sk-your-api-key\")\r\n\r\n# Streaming response\r\nfor chunk in client.chat.completions.create(\r\n messages=[{\"role\": \"user\", \"content\": \"Tell me a story\"}],\r\n stream=True\r\n):\r\n chunk_dict = json.loads(chunk)\r\n content = chunk_dict['choices'][0]['delta'].get('content', '')\r\n if content:\r\n print(content, end='', flush=True)\r\n```\r\n\r\n## \ud83c\udfa8 Custom Configuration\r\n\r\n```python\r\nfrom shakti import ChatShakti\r\n\r\n# Custom base URL and parameters\r\nclient = ChatShakti(\r\n api_key=\"sk-your-api-key\",\r\n base_url=\"https://devshakti.serveo.net\" # Optional\r\n)\r\n\r\nresponse = client.chat.completions.create(\r\n messages=[\r\n {\"role\": \"system\", \"content\": \"You are a helpful assistant.\"},\r\n {\"role\": \"user\", \"content\": \"Hello!\"}\r\n ],\r\n model=\"shakti-01-chat\",\r\n temperature=0.7,\r\n max_tokens=1024,\r\n stream=False\r\n)\r\n```\r\n\r\n## \u2728 Features\r\n\r\n- \u2705 **OpenAI-compatible API** - Easy migration from OpenAI\r\n- \u2705 **Streaming support** - Real-time token streaming\r\n- \u2705 **Simple Python interface** - Clean, intuitive SDK\r\n- \u2705 **Free tier available** - Get started at no cost\r\n- \u2705 **Fast responses** - 2-3 second average latency\r\n- \u2705 **Rate limiting** - 60 requests/min, 150k tokens/min\r\n\r\n## \ud83d\udd27 API Endpoints\r\n\r\n- **Base URL**: `https://devshakti.serveo.net`\r\n- **Chat Completions**: `/v1/chat/completions`\r\n- **Models**: `/v1/models`\r\n- **Health Check**: `/health`\r\n\r\n## \ud83d\udcdd Basic Usage\r\n\r\n### Simple Request\r\n\r\n```python\r\nresponse = client.chat.completions.create(\r\n messages=[{\"role\": \"user\", \"content\": \"What is Python?\"}]\r\n)\r\n```\r\n\r\n### With System Prompt\r\n\r\n```python\r\nresponse = client.chat.completions.create(\r\n messages=[\r\n {\"role\": \"system\", \"content\": \"You are a coding expert.\"},\r\n {\"role\": \"user\", \"content\": \"Explain async/await\"}\r\n ]\r\n)\r\n```\r\n\r\n### Streaming Tokens\r\n\r\n```python\r\nfor chunk in client.chat.completions.create(\r\n messages=[{\"role\": \"user\", \"content\": \"Write a poem\"}],\r\n stream=True\r\n):\r\n # Process each token as it arrives\r\n chunk_dict = json.loads(chunk)\r\n content = chunk_dict['choices'][0]['delta'].get('content', '')\r\n if content:\r\n print(content, end='', flush=True)\r\n```\r\n\r\n## \ud83d\udd11 Get Your API Key\r\n\r\nVisit **https://shakti-one.vercel.app** to:\r\n- \ud83d\udd10 Generate your free API key\r\n- \ud83c\udfae Try the interactive playground \r\n- \ud83d\udcd6 Read full documentation\r\n- \ud83d\udcbb See more code examples\r\n\r\n## \ud83d\udcca Rate Limits\r\n\r\n- **Requests**: 60 per minute\r\n- **Tokens**: 150,000 per minute\r\n- **Concurrent**: 10 requests\r\n\r\n## \ud83d\udee0\ufe0f Requirements\r\n\r\n- Python 3.7+\r\n- `requests` library (installed automatically)\r\n\r\n## \ud83e\udd1d Support\r\n\r\n- **Documentation**: https://shakti-one.vercel.app\r\n- **GitHub Issues**: https://github.com/shivnathtathe/shakti-sdk/issues\r\n- **Email**: sptathe2001@gmail.com\r\n\r\n## \ud83d\udcc4 License\r\n\r\nMIT License - See [LICENSE](LICENSE) file for details.\r\n\r\n## \ud83c\udf1f Contributing\r\n\r\nContributions are welcome! Please feel free to submit a Pull Request.\r\n\r\n---\r\n\r\n<div align=\"center\">\r\nMade with \u2764\ufe0f by Shivnath Tathe\r\n\r\n**[Get Started \u2192](https://shakti-one.vercel.app)**\r\n</div>\r\n",
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