openai createChatCompletion 代理方式

OpenAI's createChatCompletion API can be accessed using an API key and an API endpoint URL. The API key is used for authentication purposes and the endpoint URL specifies the location of the API server.

To send a request to the createChatCompletion API, you can use a variety of programming languages such as Python, JavaScript, or Ruby. Here is an example of how to send a request using Python:

import openai
openai.api_key = "YOUR API KEY"
completion = openai.Completion.create(
  engine="davinci",
  prompt="Hello, how are you?",
  max_tokens=60
)
print(completion.choices[0].text)

In this example, we first set our API key using the openai.api_key attribute. We then create a Completion object and specify the engine we want to use, the prompt we want to provide, and the maximum number of tokens we want the AI to generate. Finally, we print the text generated by the AI.

Note that the engine parameter specifies the AI model to use. OpenAI offers several models for different tasks, such as text completion, translation, or summarization. The max_tokens parameter specifies the maximum length of the generated text.

Overall, the createChatCompletion API is a powerful tool for generating natural language responses to user prompts. By using this API, developers can create chatbots, virtual assistants, and other conversational interfaces that can understand and respond to user inputs in a natural and engaging way.