Repository navigation
docs: add Kitani custom endpoint guide - #926
Open
kitani-inc wants to merge 1 commit into
Open
kitani-inc wants to merge 1 commit into
kitani-inc wants to merge 1 commit into
Conversation
|
@kitani-inc is attempting to deploy a commit to the LibreChat's projects Team on Vercel. A member of the Team first needs to authorize it. |
This branch has not been deployed
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Summary
Adds a Kitani custom endpoint guide under the librechat.yaml AI endpoints docs, following the same format as the NEAR AI Cloud guide. Kitani is an OpenAI-compatible API for open-weight models, so the example uses
KITANI_API_KEY,https://api.kitani.ai/v1, andmodels.fetch: trueto load the list from/v1/models. The page is also added to the sidebar meta and the endpoints index. It uses the existing BookOpen icon rather than adding a new provider icon.Testing
I did not run the build or lint locally. I checked that
meta.jsonstill parses and that the default model IDs (z-ai/glm-5.3,deepseek/deepseek-v4.1-flash-1017) are returned by the public/v1/modelsendpoint.