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How to Build a Custom AI Assistant Using GPT-4 and Python

1. Setting Up Your Development Environment

• Install Python 3.9+ and pip, then create a virtual environment with python -m venv venv.
• Install the OpenAI Python library via pip install openai and set up a .env file for your API key.
• Obtain your API key from the OpenAI dashboard and store it securely using environment variables or a secrets manager.

2. Understanding the OpenAI API Structure

• Learn the difference between chat completions and text completions endpoints, focusing on the chat/completions endpoint for assistants.
• Understand the request payload: model, messages (array of role/content objects), and optional parameters like temperature and max_tokens.
• Handle authentication by passing your API key in the Authorization header using Bearer token format.

3. Writing Your First API Call

• Instantiate the OpenAI client and send a simple user message with client.chat.completions.create().
• Parse the response to extract the assistant’s reply from response.choices[0].message.content.
• Implement basic error handling for rate limits, invalid keys, and network timeouts using try/except blocks.