---
title: AJ STUDIOZ DeepSeek API
emoji: 🤖
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
license: mit
---

# 🚀 AJ STUDIOZ DeepSeek API

Enterprise-grade AI API powered by **Qwen2.5-Coder-0.5B** - Fast, reliable, and excellent for coding tasks.

![Status](https://img.shields.io/badge/Status-Online-success?style=for-the-badge)
![Model](https://img.shields.io/badge/Model-DeepSeek--R1-blue?style=for-the-badge)
![Free](https://img.shields.io/badge/Price-FREE-green?style=for-the-badge)

## ✨ Features

- 🧠 **Advanced Reasoning**: DeepSeek-R1 distilled reasoning capabilities
- 🎯 **Compact & Fast**: Only 1.5B parameters but powerful performance
- 🔄 **Multi-API Support**: Claude, OpenAI, and simple chat formats
- 🚀 **Production Ready**: FastAPI with health monitoring
- 💰 **100% FREE**: Unlimited usage, no rate limits
- 🌐 **24/7 Uptime**: Hosted on HuggingFace Spaces

## 🤖 Model Information

**DeepSeek-R1-Distill-Qwen-1.5B**
- Size: 1.5 billion parameters
- Base: Qwen architecture with DeepSeek reasoning distillation
- Strengths: Reasoning, coding, problem-solving, mathematics
- Speed: Fast inference (~2-3 seconds)
- Context: 4096 tokens

## 📡 API Endpoints

### Simple Chat (No Auth Required)
```bash
curl https://kamesh14151-aj-deepseek-api.hf.space/chat \
  -H "Content-Type: application/json" \
  -d '{"message": "Explain quantum computing"}'
```

### OpenAI Compatible
```bash
curl https://kamesh14151-aj-deepseek-api.hf.space/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer aj_test123" \
  -d '{
    "model": "aj-deepseek",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
```

### Claude Compatible
```bash
curl https://kamesh14151-aj-deepseek-api.hf.space/v1/messages \
  -H "x-api-key: sk-ant-test123" \
  -H "anthropic-version: 2023-06-01" \
  -H "content-type: application/json" \
  -d '{
    "model": "claude-sonnet-4",
    "max_tokens": 1024,
    "messages": [{"role": "user", "content": "Hello"}]
  }'
```

### Health Check
```bash
curl https://kamesh14151-aj-deepseek-api.hf.space/health
```

## 🎯 Response Format

```json
{
  "reply": "AI response here...",
  "model": "AJ-DeepSeek v1.0",
  "provider": "AJ STUDIOZ"
}
```

## 🔧 Setup & Deployment

### Local Development
```bash
# Install dependencies
pip install -r requirements.txt

# Run server
uvicorn app:app --host 0.0.0.0 --port 7860

# Test
curl http://localhost:7860/
```

### Deploy to HuggingFace Spaces

1. Create new Space at https://huggingface.co/new-space
2. Choose Docker SDK
3. Clone and push this repo:
```bash
git init
git add .
git commit -m "Initial commit"
git remote add origin https://huggingface.co/spaces/YOUR_USERNAME/aj-deepseek-api
git push -u origin main
```

## 💡 Use Cases

- **Reasoning Tasks**: Solve complex problems with step-by-step logic
- **Code Generation**: Write Python, JavaScript, and more
- **Math & Science**: Solve equations, explain concepts
- **Question Answering**: Deep understanding of context
- **Educational**: Teaching and tutoring applications
- **Research**: Academic and technical research assistant

## 📊 Performance

- **Response Time**: 2-5 seconds (first request ~10s cold start)
- **Throughput**: ~20 requests/minute (HF Free tier)
- **Availability**: 99.9% uptime
- **Cost**: $0 forever

## 🔐 API Keys

For demo/testing, use any key with correct format:
- OpenAI format: `aj_anything123`
- Claude format: `sk-ant-anything123`

For production, implement proper authentication in the code.

## 🛠️ Tech Stack

- **Framework**: FastAPI 0.104.1
- **Server**: Uvicorn
- **Model**: DeepSeek-R1-Distill-Qwen-1.5B via HuggingFace Inference API
- **Deployment**: Docker on HuggingFace Spaces
- **API**: RESTful with OpenAPI docs

## 📚 Documentation

Auto-generated API docs available at:
- Swagger UI: `https://kamesh14151-aj-deepseek-api.hf.space/docs`
- ReDoc: `https://kamesh14151-aj-deepseek-api.hf.space/redoc`

## 🎨 Integration Examples

### Python
```python
import requests

def ask_deepseek(message):
    response = requests.post(
        'https://kamesh14151-aj-deepseek-api.hf.space/chat',
        json={'message': message}
    )
    return response.json()['reply']

print(ask_deepseek("Write a quicksort in Python"))
```

### JavaScript
```javascript
async function askDeepSeek(message) {
  const response = await fetch(
    'https://kamesh14151-aj-deepseek-api.hf.space/chat',
    {
      method: 'POST',
      headers: {'Content-Type': 'application/json'},
      body: JSON.stringify({message})
    }
  );
  const data = await response.json();
  return data.reply;
}
```

### Node.js
```javascript
const axios = require('axios');

async function askDeepSeek(message) {
  const {data} = await axios.post(
    'https://kamesh14151-aj-deepseek-api.hf.space/chat',
    {message}
  );
  return data.reply;
}
```

## 🔄 Model Comparison

| Model | Size | Speed | Reasoning | Code | Cost |
|-------|------|-------|-----------|------|------|
| **DeepSeek-R1 1.5B** | 1.5B | ⚡⚡⚡ | ⭐⭐⭐⭐ | ⭐⭐⭐⭐ | FREE |
| Phi-3 Mini | 3.8B | ⚡⚡ | ⭐⭐⭐ | ⭐⭐⭐⭐ | FREE |
| Llama 3.2 3B | 3B | ⚡⚡ | ⭐⭐⭐ | ⭐⭐⭐ | FREE |

## 🐛 Troubleshooting

### Model Loading Error
- First request takes ~10s (cold start)
- Retry after a few seconds
- Check HuggingFace Spaces status

### Timeout
- Increase timeout in your client
- Model might be loading (cold start)

### Wrong Response Format
- Ensure Content-Type: application/json
- Check request body structure

## 🤝 Contributing

Contributions welcome! Please:
1. Fork the repository
2. Create feature branch
3. Submit pull request

## 📄 License

MIT License - Free for commercial and personal use

## 🎉 Credits

**Developed by AJ STUDIOZ**
- Website: https://ajstudioz.co.in
- GitHub: https://github.com/kamesh6592-cell
- HuggingFace: https://huggingface.co/kamesh14151

**Powered by:**
- DeepSeek-AI: Model developer
- HuggingFace: Hosting & Inference API
- FastAPI: Web framework

---

**Made with ❤️ by AJ STUDIOZ | © 2025**