Python(fix): adjusting gRPC limits and page size - #771
Merged
Conversation
Contributor
|
Python docs preview: https://sift-stack.github.io/sift/python/pr-771/ Deployed from |
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…length defaults Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
… reference Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…c module Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…ECODING_MESSAGE_SIZE Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
…docstring Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
alexluck-sift
approved these changes
Sep 2, 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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Aligning gRPC max received response limit with the backend. With the new limits, we can increase the page size on getData resulting in a faster data retrieval.