Learn how to automate complex AI workflows using the latest OpenAI and Anthropic APIs, integrating advanced language models for efficient and scalable solutions.
Prerequisites
- Python 3.10 or higher
- Access to OpenAI API with GPT-5.2 model
- Access to Anthropic API with Claude 3.5 Sonnet model
- Intermediate to advanced programming skills
What We’re Building
In this tutorial, we will create a sophisticated AI workflow automation system that leverages the power of OpenAI’s GPT-5.2 and Anthropic’s Claude 3.5 Sonnet models. This system will be capable of performing complex tasks such as automated code review, hypothesis generation, and multi-step process execution efficiently.
The finished project will automate the AI research lifecycle, integrating model outputs with visualization tools and providing feedback loops for continuous improvement. This system is designed to enhance productivity and decision-making in research environments by automating repetitive and computationally intensive tasks.
Setup and Installation
To begin, we need to set up our development environment by installing the necessary libraries and configuring our environment for API access. This involves installing the OpenAI and Anthropic SDKs and setting up authentication using API keys.
pip install openai anthropicNext, we need to configure our environment variables to securely store our API keys. Create a .env file in your project directory with the following content:
OPENAI_API_KEY=your-openai-api-key
ANTHROPIC_API_KEY=your-anthropic-api-keyStep 1: Initialize the AI Clients
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