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Guide to SGLang CI workflow orchestration — stage ordering, fast-fail, gating, partitioning, execution modes, and debugging CI failures. Use when modifying CI workflows, adding stages, debugging CI pipeline issues, or understanding how tests are dispatched and gated across stages.
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| name | ci-workflow-guide |
| description | Guide to SGLang CI workflow orchestration — stage ordering, fast-fail, gating, partitioning, execution modes, and debugging CI failures. Use when modifying CI workflows, adding stages, debugging CI pipeline issues, or understanding how tests are dispatched and gated across stages. |
This skill covers the CI infrastructure layer — how tests are dispatched, gated, and fast-failed across stages. For test authoring (templates, fixtures, registration, model selection), see the write-sglang-test skill.
stage-{a,b,c}-test-{gpu_count}-gpu-{hardware} (e.g., stage-b-test-1-gpu-small){gpu_count}-gpu-{hardware} (e.g., 1-gpu-5090, 4-gpu-h100, 8-gpu-h200)| File | Role |
|---|---|
.github/workflows/pr-test.yml | Main workflow — all stages, jobs, conditions, matrix definitions |
.github/workflows/pr-gate.yml | PR gating: draft check, run-ci label, per-user rate limiting |
.github/actions/check-stage-health/action.yml | Cross-job fast-fail: queries API for any failed job |
.github/actions/wait-for-jobs/action.yml | Stage gating: polls API until stage jobs complete |
.github/actions/check-maintenance/action.yml |
| Maintenance mode check |
test/run_suite.py | Suite runner: collects, filters, partitions, executes tests |
python/sglang/test/ci/ci_register.py | Test registration (AST-parsed markers), LPT auto-partition |
python/sglang/test/ci/ci_utils.py | run_unittest_files(): execution, retry, continue-on-error |
scripts/ci/utils/slash_command_handler.py | Handles slash commands from PR comments |
┌──────────────┐
│ build kernel │
└──────┬───────┘
│
├─ check-changes ──── detects which packages changed
│ (main_package, sgl_kernel, jit_kernel, multimodal_gen)
│
├─ call-gate ──────── pr-gate.yml (draft? label? rate limit?)
│
├─────────────────────────────────────────────────────┐
│ │
▼ │
┌─────────────────────────────────────┐ │
│ Stage A (~3 min) │ │
│ pre-flight check │ │
│ │ │
│ ┌─────────────────────────────┐ │ │
│ │ stage-a-test-1-gpu-small │ │ │
│ │ (small GPUs) │ │ │
│ └─────────────────────────────┘ │ │
│ ┌─────────────────────────────┐ │ │
│ │ stage-a-test-cpu │ │ │
│ │ (CPU) │ │ │
│ └─────────────────────────────┘ │ │
└──────┬──────────────────────────────┘ │
│ │
▼ ▼
┌─────────────────────────────────────┐ ┌──────────────────────────┐
│ Stage B (~30 min) │ │ kernel test │
│ basic tests │ └──────────────────────────┘
│ │ ┌──────────────────────────┐
│ ┌─────────────────────────────┐ │ │ multimodal gen test │
│ │ stage-b-test-1-gpu-small │ │ └──────────────────────────┘
│ │ (small GPUs, e.g. 5090) │ │
│ └─────────────────────────────┘ │
│ ┌─────────────────────────────┐ │
│ │ stage-b-test-1-gpu-large │ │
│ │ (large GPUs, e.g. H100) │ │
│ └─────────────────────────────┘ │
│ ┌─────────────────────────────┐ │
│ │ stage-b-test-2-gpu-large │ │
│ │ (large GPUs, e.g. H100) │ │
│ └─────────────────────────────┘ │
└──────┬──────────────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ Stage C (~30 min) │
│ advanced tests │
│ │
│ ┌─────────────────────────────┐ │
│ │ stage-c-test-4-gpu-h100 │ │
│ │ (H100 GPUs) │ │
│ └─────────────────────────────┘ │
│ ┌─────────────────────────────┐ │
│ │ stage-c-test-8-gpu-h200 │ │
│ │ (8 x H200 GPUs) │ │
│ └─────────────────────────────┘ │
│ ┌─────────────────────────────┐ │
│ │ stage-c-test-4-gpu-b200 │ │
│ │ (4 x B200 GPUs) │ │
│ └─────────────────────────────┘ │
│ ┌─────────────────────────────┐ │
│ │ Other advanced tests │ │
│ │ (DeepEP, PD Disagg, GB300) │ │
│ └─────────────────────────────┘ │
└──────┬──────────────────────────────┘
│
▼
┌─────────────────────────────────────┐
│ pr-test-finish │
│ aggregates all results, fails if │
│ any job failed/cancelled │
└─────────────────────────────────────┘
Every stage test job includes a check-stage-health step after checkout — if any job in the run has already failed, the job fast-fails (red X) with a root cause annotation.
Scheduled runs skip wait-for-stage-* jobs, running all stages in parallel. Fast-fail is also disabled.
4 layers of fast-fail, from fine to coarse:
| Layer | Mechanism | Granularity | Disabled on schedule? |
|---|---|---|---|
| 1. Test method → file | unittest -f (failfast) | One test method fails → entire test file stops immediately | Yes |
| 2. File → suite | run_unittest_files() default | One test file fails → entire suite stops (--continue-on-error off) | Yes |
| 3. Job → job (same stage) | check-stage-health action | One job fails → other waiting jobs in same stage fast-fail (red X) | Yes |
| 4. Stage → stage (cross-stage) | wait-for-stage + needs | Stage A fails → stage B/C jobs skip entirely (never get a runner) | Yes (wait jobs skipped) |
-f flag appended to all python3 -m pytest / unittest invocations in ci_utils.py--continue-on-error flag in run_suite.py — off for PRs, on for scheduled runscheck-stage-health auto-detects schedule event and skips; filters out cascade failures to show only root cause jobswait-for-stage-* jobs are conditioned on github.event_name == 'pull_request' — skipped for scheduled runs| Aspect | PR (pull_request) | Scheduled (cron, every 6h) | /rerun-stage (workflow_dispatch) |
|---|---|---|---|
| Stage ordering | Sequential: A → B → C via wait-for-stage-* | Parallel (all at once) | Single target stage only |
| Cross-job fast-fail | Yes (check-stage-health) | Yes | Yes |
| continue-on-error | No (stop at first failure within suite) | Yes (run all tests) | No |
| Retry | Enabled | Enabled | Enabled |
| max_parallel | 3 (default), 14 if high priority label | 14 | 3 (default), 14 if high priority |
| PR gate | Yes (draft, label, rate limit) | Skipped | Skipped |
| Concurrency | cancel-in-progress: true per branch | Queue (no cancel) | Isolated per stage+SHA |
wait-for-jobs action)wait-for-stage-a and wait-for-stage-b are lightweight ubuntu-latest jobs that poll the GitHub Actions API.
How it works:
listJobsForWorkflowRun to list all jobs in the current runstage-b-test-1-gpu-small (3))conclusion === 'failure' → fail immediately (fast-fail)expected_count → successpoll-interval-seconds (default: 60s) and retrymax-wait-minutes (240 min for stage-a, 480 min for stage-b)Job specs example (stage-b):
[
{"prefix": "stage-b-test-1-gpu-small", "expected_count": 8},
{"prefix": "stage-b-test-1-gpu-large", "expected_count": 14},
{"prefix": "stage-b-test-2-gpu-large", "expected_count": 4},
{"prefix": "stage-b-test-4-gpu-b200", "expected_count": 1}
]
Critical:
expected_countmust match the matrix size. If you add/remove matrix entries, update the wait job's spec accordingly.
PR only: Condition github.event_name == 'pull_request' && !inputs.target_stage — scheduled runs and /rerun-stage skip these entirely, allowing parallel execution.
check-stage-health action)Composite action called after checkout in every stage test job (21 jobs total across pr-test.yml, pr-test-multimodal-gen.yml, pr-test-sgl-kernel.yml, pr-test-jit-kernel.yml).
How it works:
listJobsForWorkflowRun for the current workflow runconclusion === 'failure' whose failing step is NOT check-stage-health (excludes cascade failures)core.setFailed() with the list of root cause job namesCascade filtering: When job A fast-fails due to health check, it also has conclusion: failure. Without filtering, job B would list both the original failure AND job A's fast-fail. The filter checks each failed job's steps array — if the failing step name contains check-stage-health or Check stage health, it's excluded from the root cause list.
Usage pattern:
steps:
- name: Checkout code
uses: actions/checkout@v4
...
- uses: ./.github/actions/check-stage-health
id: stage-health
- name: Install dependencies # skipped automatically if health check failed
... # (default if: success() is false)
- name: Run test # also skipped
...
Visual effect: Job shows red X (failure) with error annotation showing root cause job names. Subsequent steps are naturally skipped (default if: success() is false after a failed step). No per-step if guards needed.
No stage filtering: Checks ALL jobs in the run, not just the current stage. Any failure anywhere triggers fast-fail.
Error message example:
Fast-fail: skipping — root cause job(s): stage-b-test-1-gpu-small (0), stage-b-test-1-gpu-small (1)
Controlled by run_unittest_files() in python/sglang/test/ci/ci_utils.py.
| Flag | PR default | Scheduled default | Effect |
|---|---|---|---|
--continue-on-error | Off | On | Off: stop at first failure. On: run all files, report all failures at end |
--enable-retry | On | On | Retry retriable failures (accuracy/perf assertions) |
--max-attempts | 2 | 2 | Max attempts per file including initial run |
When a test fails and retry is enabled, the output is classified:
Non-retriable (checked first — real code errors):
SyntaxError, ImportError, ModuleNotFoundError, NameError, TypeError, AttributeError, RuntimeError, CUDA out of memory, OOM, Segmentation fault, core dumped, ConnectionRefusedError, FileNotFoundError
Retriable (accuracy/performance):
AssertionError with comparison patterns (not greater than, not less than, not equal to), accuracy, score, latency, throughput, timeout
Default: Unknown AssertionError → retriable. Other unknown failures → not retriable.
continue_on_error is setIn pr-test.yml's check-changes job:
schedule runs or run_all_tests flag → continue_on_error = 'true'continue_on_error = 'false'Each test job propagates via:
env:
CONTINUE_ON_ERROR_FLAG: ${{ needs.check-changes.outputs.continue_on_error == 'true' && '--continue-on-error' || '' }}
run: |
python3 run_suite.py --hw cuda --suite <name> $CONTINUE_ON_ERROR_FLAG
Large suites are split across matrix jobs using the LPT (Longest Processing Time) heuristic in ci_register.py:auto_partition():
est_time descending, filename as tie-breaker (deterministic)Partition table (CUDA per-commit suites):
| Suite | Partitions | Runner | max_parallel |
|---|---|---|---|
stage-a-test-1-gpu-small | 1 (no matrix) | 1-gpu-5090 | — |
stage-a-test-cpu | 4 | ubuntu-latest | — |
stage-b-test-1-gpu-small | 8 | 1-gpu-5090 | 8 |
stage-b-test-1-gpu-large | 14 | 1-gpu-h100 | dynamic (3 or 14) |
stage-b-test-2-gpu-large | 4 | 2-gpu-h100 | — |
stage-b-test-4-gpu-b200 | 1 (no matrix) | 4-gpu-b200 | — |
stage-b-kernel-unit-1-gpu-large | 1 (no matrix) | 1-gpu-h100 | — |
stage-b-kernel-unit-8-gpu-h200 | 1 (no matrix) | 8-gpu-h200 | — |
stage-b-kernel-benchmark-1-gpu-large | 1 (no matrix) | 1-gpu-h100 | — |
stage-c-test-4-gpu-h100 | 3 | 4-gpu-h100 | — |
stage-c-test-8-gpu-h200 | 4 | 8-gpu-h200 | — |
stage-c-test-8-gpu-h20 | 2 | 8-gpu-h20 | — |
stage-c-test-deepep-4-gpu-h100 | 1 (no matrix) | 4-gpu-h100 | — |
stage-c-test-deepep-8-gpu-h200 | 1 (no matrix) | 8-gpu-h200 | — |
stage-c-test-4-gpu-b200 | 4 | 4-gpu-b200 | — |
stage-c-test-4-gpu-gb200 | 1 (no matrix) | 4-gpu-gb200 | — |
Note: Kernel suites (
stage-b-kernel-*) run viapr-test-jit-kernel.ymlandpr-test-sgl-kernel.yml, not the mainpr-test.yml. Multimodal diffusion usespython/sglang/multimodal_gen/test/run_suite.py, nottest/run_suite.py.
Workflow usage:
strategy:
matrix:
partition: [0, 1, 2, 3, 4, 5, 6, 7]
steps:
- run: python3 run_suite.py --hw cuda --suite stage-b-test-1-gpu-small \
--auto-partition-id ${{ matrix.partition }} --auto-partition-size 8
Determines which test suites to run based on file changes.
| Trigger | Method | Details |
|---|---|---|
pull_request | dorny/paths-filter | Detects changes via GitHub diff |
workflow_dispatch (with pr_head_sha) | GitHub API | repos/{repo}/compare/main...{sha} |
schedule / run_all_tests | Force all true | Runs everything |
| Output | Triggers |
|---|---|
main_package | Stage A/B/C test suites |
sgl_kernel | Kernel wheel builds + kernel test suites |
jit_kernel | JIT kernel test workflow |
multimodal_gen | Multimodal-gen test workflow |
Note:
sgl_kernelis forced tofalsewhentarget_stageis set, becausesgl-kernel-build-wheelswon't run and wheel artifacts won't be available.
group: pr-test-{event_name}-{branch}-{pr_sha}-{stage}
| Segment | Source | Purpose |
|---|---|---|
event_name | github.event_name | Prevents scheduled runs colliding with fork PRs named main |
branch | github.head_ref || github.ref_name | Per-branch isolation |
pr_sha | inputs.pr_head_sha || 'current' | Isolates /rerun-stage from main runs |
stage | inputs.target_stage || 'all' | Allows parallel stage dispatches |
cancel-in-progress: true for pull_request events (new push cancels old run), false for workflow_call.
pr-test.yml with needs: [check-changes, call-gate, wait-for-stage-X, ...]if: condition pattern from an existing same-stage job (handles target_stage, schedule, main_package)checkout stepcheck-stage-health step (after checkout) — if any prior job failed, core.setFailed() fires and all subsequent steps auto-skip via default if: success()check-maintenance stepdownload-artifact step if sgl_kernel changedinstall dependencies steprun test step with $CONTINUE_ON_ERROR_FLAGupload-cuda-coredumps step with if: always()PER_COMMIT_SUITES in test/run_suite.py--auto-partition-id and --auto-partition-size to the run commandwait-for-stage-X job spec with the new job name and expected_count (if matrix)pr-test-finish.needs list| Symptom | Likely cause | What to check |
|---|---|---|
| All stage-B/C jobs green but steps skipped | Earlier job failed, check-stage-health triggered | Find the actual failed job (red X) |
wait-for-stage-b timeout | expected_count doesn't match matrix size | Verify job spec counts match matrix: array length |
pr-test-finish fails but all jobs green | A job was cancelled (counts as failure in finish) | Check concurrency cancellation |
| Tests pass locally but fail in CI | Partition assignment, runner GPU type, or est_time inaccuracy | Check which partition the test lands in; verify runner label |
| Flaky test retried and passed | Retriable failure (accuracy/perf) | Check [CI Retry] markers in job logs |
| Flaky test NOT retried | Matched non-retriable pattern | Check if error matches NON_RETRIABLE_PATTERNS in ci_utils.py |
| Command | Effect |
|---|---|
/tag-run-ci-label | Adds run-ci label to PR |
/rerun-failed-ci | Reruns failed jobs in the latest workflow run |
/tag-and-rerun-ci | Adds label + reruns |
/rerun-stage <stage> | Dispatches pr-test.yml with target_stage=<stage> |
/rerun-test <test-file> | Reruns a specific test file via rerun-test.yml |
Handled by scripts/ci/utils/slash_command_handler.py → .github/workflows/slash-command-handler.yml.