https://github.com/bjornmelin/ai-apis-integration
🔌 Production-ready AI service integrations. Demonstrating efficient orchestration of various AI services with optimized local compute capabilities. 🌐
https://github.com/bjornmelin/ai-apis-integration
ai-services api-integration automation cloudai gpu-acceleration langchain openai production python
Last synced: 4 months ago
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🔌 Production-ready AI service integrations. Demonstrating efficient orchestration of various AI services with optimized local compute capabilities. 🌐
- Host: GitHub
- URL: https://github.com/bjornmelin/ai-apis-integration
- Owner: BjornMelin
- License: mit
- Created: 2025-01-24T14:56:35.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-01-24T15:00:14.000Z (9 months ago)
- Last Synced: 2025-03-20T07:47:21.316Z (7 months ago)
- Topics: ai-services, api-integration, automation, cloudai, gpu-acceleration, langchain, openai, production, python
- Homepage:
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# AI APIs Integration 🔌
[](https://www.python.org/downloads/)
[](https://openai.com/)
[](https://langchain.org)
[](https://fastapi.tiangolo.com/)
[](LICENSE)
> Production-ready integrations with major AI services and APIs. Demonstrating efficient orchestration and implementation of various AI services in real-world applications.
[Features](#features) • [Installation](#installation) • [Quick Start](#quick-start) • [Documentation](#documentation) • [Contributing](#contributing)
## 📑 Table of Contents
- [Features](#features)
- [Project Structure](#project-structure)
- [Prerequisites](#prerequisites)
- [Installation](#installation)
- [Quick Start](#quick-start)
- [Documentation](#documentation)
- [Integrations](#integrations)
- [Performance](#performance)
- [Cost Optimization](#cost-optimization)
- [Contributing](#contributing)
- [Versioning](#versioning)
- [Authors](#authors)
- [Citation](#citation)
- [License](#license)
- [Acknowledgments](#acknowledgments)
## ✨ Features
- Multi-service AI orchestration
- Intelligent fallback strategies
- Rate limiting and caching
- Cost optimization techniques
- Production monitoring tools
## 📁 Project Structure
```mermaid
graph TD
A[ai-apis-integration] --> B[services]
A --> C[orchestration]
A --> D[optimization]
A --> E[monitoring]
B --> F[openai]
B --> G[anthropic]
B --> H[google]
C --> I[routing]
C --> J[fallback]
D --> K[caching]
D --> L[cost]
E --> M[metrics]
E --> N[alerts]
```
Click to expand full directory structure
```plaintext
ai-apis-integration/
├── services/ # Service integrations
│ ├── openai/ # OpenAI integration
│ ├── anthropic/ # Anthropic integration
│ └── google/ # Google AI integration
├── orchestration/ # Service orchestration
│ ├── routing/ # Request routing
│ └── fallback/ # Fallback strategies
├── optimization/ # Optimization tools
├── monitoring/ # Monitoring systems
├── tests/ # Unit tests
└── README.md # Documentation
```
## 🔧 Prerequisites
- Python 3.8+
- Valid API keys for services
- Redis (for caching)
- Docker (optional)
## 📦 Installation
```bash
# Clone repository
git clone https://github.com/BjornMelin/ai-apis-integration.git
cd ai-apis-integration
# Create environment
python -m venv venv
source venv/bin/activate
# Install dependencies
pip install -r requirements.txt
# Set up environment variables
cp .env.example .env
# Edit .env with your API keys
```
## 🚀 Quick Start
```python
from ai_integration import services, optimization
# Initialize service orchestrator
orchestrator = services.AIOrchestrator(
providers=["openai", "anthropic"],
cache_enabled=True
)
# Configure cost optimization
cost_manager = optimization.CostManager(
budget_limit=100,
optimization_level="aggressive"
)
# Make API request with automatic optimization
response = orchestrator.process_request(
prompt="Generate a business analysis",
cost_manager=cost_manager,
fallback_enabled=True
)
```
## 📚 Documentation
### Integrations
| Service | Features | Latency | Cost/1K Tokens |
|---------|----------|---------|----------------|
| OpenAI | GPT-4, Embeddings | 500ms | $0.03 |
| Anthropic | Claude, Analysis | 600ms | $0.02 |
| Google | PaLM, Vision | 450ms | $0.01 |
### Performance
- Intelligent request routing
- Response caching
- Rate limit management
- Error handling
### Cost Optimization
| Strategy | Savings | Impact |
|----------|---------|---------|
| Smart Routing | 30% | Minimal |
| Caching | 45% | None |
| Batch Processing | 25% | +100ms Latency |
## 🤝 Contributing
- [Contributing Guidelines](CONTRIBUTING.md)
- [Code of Conduct](CODE_OF_CONDUCT.md)
- [Development Guide](DEVELOPMENT.md)
## 📌 Versioning
We use [SemVer](http://semver.org/) for versioning. For available versions, see the [tags on this repository](https://github.com/BjornMelin/ai-apis-integration/tags).
## ✍️ Authors
**Bjorn Melin**
- GitHub: [@BjornMelin](https://github.com/BjornMelin)
- LinkedIn: [Bjorn Melin](https://linkedin.com/in/bjorn-melin)
## 📝 Citation
```bibtex
@misc{melin2024aiapisintegration,
author = {Melin, Bjorn},
title = {AI APIs Integration: Production-Ready AI Service Orchestration},
year = {2024},
publisher = {GitHub},
url = {https://github.com/BjornMelin/ai-apis-integration}
}
```
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🙏 Acknowledgments
- OpenAI team
- Anthropic developers
- LangChain community
- FastAPI developers
---
Made with 🔌 and ❤️ by Bjorn Melin