Repository navigation
LLM benchmark: allow prompts up to 65,536 tokens - #1
Merged
Merged
Conversation
Long-context prefill is usually quoted at 64k tokens, and the 32,768 cap could not reproduce it. The payload has no limit of its own, and the web form reads the range from the agent's catalog, so only the params model changes. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Raises the LLM inference benchmark's prompt length limit from 32,768 to 65,536 tokens, so a 64k long-context prefill run can be done from the console.
LlmInferenceParams.prompt_tokens(le=65536). The web form takes the range from the agent's catalog and the console validates against it, so nothing else changes.🤖 Generated with Claude Code