Conversation
ehsk
reviewed
Feb 4, 2026
ehsk
reviewed
Feb 4, 2026
ehsk
approved these changes
Feb 4, 2026
Collaborator
ehsk
left a comment
There was a problem hiding this comment.
LGTM overall except a couple of minor things!
Collaborator
ehsk
reviewed
Feb 4, 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.




Enables simultaneous training across multiple domains (math, coding, function calling) with domain-agnostic orchestration
Architecture
Configuration
Adaptive Sampling
DomainWeightedSampler adjusts weights dynamically:
adjusted_weight = base_weight × (target_ratio / actual_ratio), clamped to [0.1, 10.0]. This compensates for domains with slower rollouts (e.g. coding sandbox execution) to maintain the configured mix in the output stream.Metrics
Per-domain stats: domain_mix_actual/{domain}, domain_mix_target/{domain}, domain_mix_count/{domain}.