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sglang-bisect-ci-regression

Bisect commit windows and correlate CI failures with runners for SGLang.

Updated Jun 4, 2026
Search Tags:#testing#hardware#github-actions#bisect#ci#ci-regression#remote-reproduction
One-click install
npx skills add https://github.com/annealing-inversion/sglang-kimi-deferral --skill sglang-bisect-ci-regression-annealing-inversion
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sglang-bisect-ci-regression
Source: https://github.com/annealing-inversion/sglang-kimi-deferral/tree/main/.claude/skills/sglang-bisect-ci-regression
Command: npx skills add https://github.com/annealing-inversion/sglang-kimi-deferral --skill sglang-bisect-ci-regression-annealing-inversion

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Investigate a consistently failing CI test to locate root causes, differentiate between code regressions, hardware/runner differences, or environmental changes, and prepare for reproducible testing on remote GPUs if needed.

Core Features & Use Cases

  • Extract failure signatures from scheduled main CI runs to establish a repeatable defect profile.
  • Bisect the commit window between passing and failing builds to isolate the regression range.
  • Correlate results with specific runners or hardware configurations to identify environment-driven issues.
  • Optionally enable remote reproduction workflows to validate findings on a GPU host.

Quick Start

Run the bisect workflow on the main branch using the scheduled CI runs and record the failure boundary to identify the culprit.

Frequently Asked Questions about sglang-bisect-ci-regression

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I bisect CI regressions to find a breaking commit in SGLang?▼

You can bisect CI regressions by extracting failure signatures from scheduled main-branch runs and systematically narrowing the commit window between the last passing and first failing builds to isolate the regression range.

Why does my GitHub Actions CI test fail on specific runners but pass elsewhere?▼

Runner-specific CI failures are diagnosed by correlating test results with specific hardware configurations and runner environments to distinguish environment-driven issues from actual code regressions.

What is the best way to triage PR-triggered CI noise versus real regressions?▼

Triage PR-triggered CI noise by extracting repeatable failure signatures from pr-test schedule runs, establishing a defect profile to differentiate genuine code regressions from transient test failures.

Can I reproduce a failing CI test on a remote GPU host?▼

Yes, you can optionally enable remote reproduction workflows to validate CI findings by preparing and executing reproducible testing of the extracted failure signatures on a remote GPU host.

Do I need scheduled main-branch CI runs to diagnose hardware-specific variance?▼

Scheduled main-branch CI runs are required to establish a repeatable defect profile, serving as the baseline for applying temporal analysis and reproduction checks to diagnose hardware-specific variance scenarios.

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