openai-python
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Function to calculate number of tokens
Describe the feature or improvement you're requesting
It would be useful if the module provided a function to calculate number of token in a given prompt for a given model, without having to use another 3rd party modules to do so.
One examle when it would be useful is to trim fed history if the entire prompt (+max_tokens) is above a given model limit, before sending the query.
Additional context
No response
Hi @rmilkowski
If you are using the python sdk, tiktoken is the library created by OpenAI itself to tokenise/count the tokens: https://github.com/openai/openai-cookbook/blob/main/examples/How_to_count_tokens_with_tiktoken.ipynb
Also, check the following link which describes how to use the token count: https://github.com/openai/openai-cookbook/blob/main/examples/Question_answering_using_embeddings.ipynb
Please check if this helps.
fair enough, although it's a shame they provide an example code how to handle different chat models instead of providing a function to deal with it, so users wouldn't have to keep their code updated and would have pick up new models by simply upgrading the module. I submitted https://github.com/openai/tiktoken/issues/115
I agree, even an api call that calculates tokens based on model and text input would be super valuable
It is at least somewhat surprising that this feature is not available. Tiktoken is a 3rd party tokenizer that tries to be compatible with OpenAI's endpoints -- but a tokenizer is not a token counter. The linked issue above demonstrates that you cannot even use tiktoken to easily calculate tokens from the function calling API (which has now been changed to tools, further compounding the problem). Clearly it should not be the responsibility of a 3rd party application to keep up with OpenAI's API changes, in order to provide the basic functionality that makes it useable.
It's difficult to batch requests in applications when you aren't exactly certain what the size of your batches are.
This is a great solution and it's useful.
https://gist.github.com/CGamesPlay/dd4f108f27e2eec145eedf5c717318f5
Usage:
base_usage = ... # message tokens + image tokens
tools = [...] # A list of tools
...
encoder = tiktoken.encoding_for_model("gpt-4-1106-preview")
token_length = lambda x: len(encoder.encode(x))
FUNCTION_OVERHEAD = 12
# `format_tool` see: https://gist.github.com/CGamesPlay/dd4f108f27e2eec145eedf5c717318f5
total_tokens = base_usage + FUNCTION_OVERHEAD + sum(token_length(format_tool(t['function'])) for t in tools)
Not only this library should allow us to calculate the number of tokens that we pass and receive, but we should also be able to restrict the number of tokens in some way. I don't see why this feature should not be implemented, except that not implementing it will just make customers pay more but unnecessarily in many cases.
Personally, I believe this should actually be done server side via API endpoint.
There's already a way to limit the costs or used credits in our OpenAI account, but not per request (I think).
If OpenAI isn't planning on providing this functionality, could you at least provide some clear informations on how tokens are counted for function calls/tool calls/structured outputs/etc. etc. etc. ? How are we supposed to calculate token usage?
