fix(cerebras): expose max_completion_tokens - #6685
Merged
tinalenguyen merged 2 commits intoAug 3, 2026
Merged
Conversation
ryanl-cerebras
marked this pull request as ready for review
August 3, 2026 19:22
![devin-ai-integration[bot]](https://avatars.githubusercontent.com/in/811515?s=60&v=4){kind=small}
This comment was marked as resolved.
This comment was marked as resolved.
Sorry, something went wrong.
tinalenguyen
approved these changes
Aug 3, 2026
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
2 participants
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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
Expose
max_completion_tokensonlivekit.plugins.cerebras.LLMand forward it unchanged to the parent OpenAI-compatible implementation.Why
The parent OpenAI LLM already accepts and forwards
max_completion_tokens, but the Cerebras subclass omitted it from its constructor. Users therefore had to use the generic OpenAI-compatible plugin to set a completion-token limit, losing the Cerebras plugin's gzip compression and msgpack encoding.This change uses the existing
NotGivenOr[int]andNOT_GIVENconventions. When omitted, the request payload is unchanged.Testing
Added hermetic mocked-transport tests covering:
Validation performed:
uv run pytest tests/test_plugin_cerebras_request.py --unit -q, 3 passedmake check, formatting, Ruff, and mypy all passedgpt-oss-120b,max_completion_tokens=128, gzip, and msgpack passed