The GPT (Generative Pre-trained Transformer) APIs developed by OpenAI, such as GPT-3, have a maximum token limit for the input text. A token can be as short as one character or as long as one word. Punctuation marks and spaces are also considered tokens.
For GPT-3, the maximum number of tokens for the entire input (which includes both the prompt and the completion) is 4096 tokens. This limit is imposed to ensure that the model can process the input effectively and return a coherent response within a reasonable amount of time.
When working with the GPT-3 API, you'll need to ensure that your input does not exceed this limit. If you have a long text that you want to process, you may need to break it up into smaller chunks or summarize it before sending it to the API.
Here's an example in Python of how you might check the token length of a string using OpenAI's openai API client library:
import openai
openai.api_key = 'your-api-key-here'
# Example text
text = "Your very long text input..."
# Use the OpenAI API to encode the text into tokens and count them
response = openai.Completion.create(engine="text-davinci-003", prompt=text)
token_length = len(response['choices'][0]['logprobs']['tokens'])
print(f"Token length of input: {token_length}")
# Check if the input is too long
if token_length > 4096:
print("Input is too long and needs to be shortened.")
If you do exceed the token limit, the API will return an error, and you'll need to reduce the size of your input.
Please note that the token limit and other API limitations are subject to change, so you should always refer to the latest documentation from OpenAI for the most current information.
