How to Use OpenAI Chat Completion API openai.chatcompletion.create

Here is an example of how to use the chat completion API using python. Same process can be used for programming in other languages.

Step 1: Set Up Your OpenAI Account

1. Sign Up for an OpenAI Account:
   • Visit the OpenAI website and create an account.
2. Generate API Key:
   • Once registered, obtain your API key from the OpenAI platform.

Step 2: Install OpenAI Python Package

1. Install the OpenAI Python Package:

pip install openai

Step 3: Define a Chat Conversation

1. Structure the Conversation:
   • Define a conversation as a list of messages, each with a role (“system”, “user”, or “assistant”) and content.

conversation = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Tell me a joke."},
]

Step 4: Make an API Call

1. Use the OpenAI API:
   • Make an API call to the openai.ChatCompletion.create method.

import openai

# Set your API key
openai.api_key = 'your-api-key'

# Make an API call for chat completion
response = openai.ChatCompletion.create(
    model="gpt-3.5-turbo",  # Specify the model
    messages=conversation
)

Step 5: Extract and Print the Response

1. Extract Assistant’s Reply:
   • Extract the model’s response from the API response.

# Extract and print the assistant's reply
assistant_reply = response['choices'][0]['message']['content']
print("Assistant:", assistant_reply)

Step 6: Adjust Parameters

1. Experiment with Parameters: Explore different parameters like temperature and max_tokens to control the output.

response = openai.ChatCompletion.create(
    model="gpt-3.5-turbo",
    messages=conversation,
    temperature=0.8,
    max_tokens=100
)

Step 7: Iterate and Test

1. Refine Conversations:
   • Adjust the conversation based on the model’s responses to improve interactions.
2. Experiment with Prompts:
   • Test different prompts to see how the model responds.

Example Python Script

import openai

# Set your API key
openai.api_key = 'your-api-key'

# Define a chat-based conversation
conversation = [
    {"role": "system", "content": "You are a helpful assistant."},
    {"role": "user", "content": "Tell me a joke."},
]

# Make an API call for chat completion
response = openai.ChatCompletion.create(
    model="gpt-3.5-turbo",  # Specify the model
    messages=conversation
)

# Extract and print the assistant's reply
assistant_reply = response['choices'][0]['message']['content']
print("Assistant:", assistant_reply)

Important Notes:

• Read Documentation:
  • Always refer to the official OpenAI API documentation for the latest information.
• API Usage Limits:
  • Be aware of API usage limits to avoid interruptions in service.
• Stay Informed:
  • Follow OpenAI’s communication channels for announcements and updates.