When working with OpenAI’s API, it’s important to set up your environment and client correctly to ensure secure and efficient API calls. This guide shows you how to create a basic integration using Galileo’s OpenAI client wrapper.

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What You’ll Need

  • OpenAI API key
  • Galileo API key
  • Python environment
  • Required packages installed

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Basic Setup Requirements

  • Environment Variables: Secure storage of API keys
  • Required Packages: Galileo and OpenAI clients
  • Python Environment: 3.7 or higher recommended

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Implementation Steps

1

Set Up Environment Variables

Create a .env file in your project root:

.env
GALILEO_API_KEY=your_galileo_api_key
GALILEO_PROJECT=your_project_name
GALILEO_LOG_STREAM=your_log_stream
OPENAI_API_KEY=your_openai_api_key
OPENAI_ORGANIZATION=your_org_id
2

Install Required Dependencies

Create a requirements.txt file:

requirements.txt
galileo==0.0.7
openai==1.61.1
pydantic==2.10.6
python-dotenv==0.19.0

Install dependencies:

pip install -r requirements.txt
3

Initialize the Client

  • Import required packages
  • Load environment variables
  • Create OpenAI client instance with Galileo wrapper
4

Create a Chat Completion

  • Structure your prompt
  • Call the API using the client
  • Process and use the response
app.py
import os
from galileo.openai import openai # The Galileo OpenAI client wrapper is all you need!
from dotenv import load_dotenv

load_dotenv()

client = openai.OpenAI(
    api_key=os.environ.get("OPENAI_API_KEY"),
    organization=os.environ.get("OPENAI_ORGANIZATION")
)

prompt = f"Explain the following topic succinctly: Newton's First Law"
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "system", "content": prompt}],
)

print(response.choices[0].message.content.strip())