AiCore Examples

This directory contains practical examples demonstrating how to use AiCore in different scenarios. Each example showcases specific features and integration patterns.

Available Examples

FastAPI Integration

• fastapi/ - Complete FastAPI application demonstrating:
  • Authentication and authorization
  • Rate limiting middleware
  • Websocket support for streaming responses
  • Production-ready LLM service integration
  • Configuration management

Chainlit Chat Interface

• chainlit/ - Interactive chat application featuring:
  • Multiple LLM provider profiles
  • Advanced reasoning capabilities
  • Docker deployment setup
  • Customizable UI components

Core Functionality

• observability_dashboard.py - Launch and interact with the observability dashboard
• simple_llm_call.py - Basic synchronous LLM call
• simple_async_llm_call.py - Basic asynchronous LLM call
• reasoning_example.py - Advanced reasoning capabilities demonstration

Getting Started

Prerequisites

1. Install AiCore:

pip install core-for-ai

2. Install example-specific dependencies:

pip install -r examples/<example_dir>/requirements.txt

Configuration

1. Set up environment variables:

cp .env-example .env
# Edit .env with your API keys

2. Configure provider settings in config/ directory as needed

Running Examples

# For Python scripts
python examples/<script_name>.py

# For FastAPI
uvicorn examples.fastapi.main:app --reload

# For Chainlit
chainlit run examples/chainlit/app/app.py

Example Structure

Each example directory contains:

• README.md - Specific instructions for that example
• requirements.txt - Python dependencies
• Source code demonstrating best practices

Contributing

We welcome example contributions! Please:

1. Maintain consistent structure
2. Include proper documentation
3. Add requirements.txt if needed
4. Submit via pull request

For more complex integrations, see our Built with AiCore showcase.