SGLang Bisect CI Regression

Bisect SGLang CI logs to identify regression-introducing commits.

3|Updated Jun 18, 2025
One-click install
npx skills add https://github.com/moirai-internal/sglang --skill sglang-bisect-ci-regression-moirai-internal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: SGLang Bisect CI Regression
Source: https://github.com/moirai-internal/sglang/tree/main/.claude/skills/sglang-bisect-ci-regression
Command: npx skills add https://github.com/moirai-internal/sglang --skill sglang-bisect-ci-regression-moirai-internal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the process of identifying the root cause of consistently failing CI tests, whether it's a code regression, hardware issue, or environment change.

Core Features & Use Cases

  • Automated Bisection: Pinpoints the exact commit that introduced a CI regression.
  • Root Cause Analysis: Differentiates between code bugs, hardware-specific failures, and environment issues.
  • Remote Reproduction: Optionally reproduces failures on a remote GPU server for deeper debugging.
  • Use Case: A critical test in your CI pipeline starts failing consistently on the main branch. Use this Skill to automatically trace back through the commit history and identify the problematic PR, or determine if it's an issue with the CI runners themselves.

Quick Start

Use the sglang-bisect-ci-regression skill to investigate the failing test 'test_lora_tp.py' and optionally reproduce it on user@host in the sglang_dev container.

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 find the commit that introduced a CI regression in my project?

To find a CI regression, you can automate temporal bisection across scheduled runs to pinpoint the exact problematic commit. This process analyzes CI logs to trace back through commit history and identify the specific PR causing the failure.

Why does my CI test fail consistently on the main branch while passing locally?

Consistently failing CI tests on the main branch may be caused by code regressions, hardware-specific failures, or environment issues. Analyzing CI logs and runner conditions helps differentiate between a code bug and an infrastructure problem.

How do I reproduce a CI test failure on a remote GPU server?

You can reproduce a CI test failure on a remote GPU server by connecting via SSH and utilizing Docker containers. This allows for in-depth debugging of the exact environment and dependencies where the regression occurred.

Can I automatically investigate GitHub Actions test failures to see if they are runner-specific?

Yes, automated root cause analysis can differentiate between code bugs and runner-specific hardware issues. By performing temporal bisection on scheduled runs, it identifies whether the CI failure stems from a specific commit or the runner environment.

What is the best way to debug a consistently failing CI test without manual git bisect?

The best way to debug a consistently failing CI test is using an automated bisection Skill that analyzes logs and pinpoints the root cause. It eliminates manual git bisect by tracing regressions across commit history or identifying hardware failures.

Does automated git bisect work for tracing environment changes in CI pipelines?

Automated git bisect works for tracing environment changes by analyzing CI logs to identify regressions introduced by specific commits or hardware issues. It performs temporal bisection across scheduled runs to isolate infrastructure-related failures.