fix: replace fictional OpenAI default model IDs with production models - #19
Open
Adityakk9031 wants to merge 1 commit into
Open
fix: replace fictional OpenAI default model IDs with production models#19Adityakk9031 wants to merge 1 commit into
Adityakk9031 wants to merge 1 commit into
Conversation
Author
|
@YahiaBakour have a look |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
close #17
Description
This PR replaces fictional/mock default OpenAI model names (
gpt-5.4-nano,gpt-4.1-nano, etc.) in the model catalog configuration with actual, production-ready, and cost-effective OpenAI models (gpt-4o-miniandgpt-4o). This prevents default-configured summarization and triage requests from failing with a 404 (model not found) error.Changes
AI_MODELS_BY_PROVIDERinsrc/lib/ai-models.tsto map theopenaiandvercel_gatewayconfigurations togpt-4o-mini(recommended) andgpt-4o.Verification
npm run test) which all pass successfully.