Check the max prompt length for the OpenAI completions API #472
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Hi, I noticed that the
create_chat_completion()
function in the openai entrypoint utilizes thecheck_length(prompt)
function, which verifies that the prompt token length doesn't exceed the model's max token length. If it does exceed the max length, it returns an HTTP error explaining so.However this
check_length(prompt)
function isn't present in thecreate_completion()
function, so a request to this endpoint which exceeded the max token length wouldn't get a relevant error message.I added
check_length(prompt)
tocreate_completion()
, and also modified the function to return the (already computed)token_ids
, so that we can re-use them later for the engine.generate(), thus reducing the amount of duplicate token encoding we are doing - in theory this will result in a minor efficiency gain, but I haven't done any scientific tests to prove so.Thanks!