To integrate ChatGPT with your existing API, you need to use the OpenAI GPT-3 API. There are client libraries available in Python, C#, Ruby, Java, etc., which make it easier to integrate. Here is a basic step-by-step guide:
1. Generate API Key: First, you need to generate an API key from the OpenAI website. The API key is a unique identifier that authenticates requests associated with your project for usage and billing purposes.
1. Make a POST Request: To create chat message API calls, you make a POST request to `https://api.openai.com/v1/engines/davinci-codex/completions`. You have to pass the API key in the `Authorization` header in the format `Bearer your_api_key`.
1. Send Data: The API accepts a list of “messages”. Each message has a ‘role’ and ‘content’. A role can be `‘system’`, `‘user’`, or `‘assistant’`. ‘content’ contains the text of the message from the role. The `system` role is used to set the behavior of the assistant. The `user` role is used to instruct the assistant. The `assistant` role stores prior responses from the assistant.
Here is an example in Python:
```
import openai
openai.api_key = ‘your-api-key’
response = openai.Completion.create(
engine=“text-davinci-002”,
messages=[
{“role”: “system”, “content”: “You are a helpful assistant.”},
{“role”: “user”, “content”: “Who won the world series in 2020?”},
]
)
print(response[‘choices’]0[‘message’][‘content’])
```
The response from the API call is a dictionary that includes the assistant’s reply, which you can extract and use in your application.
1. Error Handling: Always remember to handle any exceptions/errors that may occur during the API request.
1. Throttle Requests: The OpenAI API has a rate limit, so make sure to manage the number of requests accordingly.
To learn more about the technical details of the OpenAI API, you should refer to the official documentation at https://beta.openai.com/.
Please note that ChatGPT API does have its cost, usage is not covered under the free subscription.
