sgl-project/sglang · error · StageVerificationError
{} verification failed for {}: Failed fields: {}\nDetails: {
Error message
{} verification failed for {}: Failed fields: {}\nDetails: {} What it means
StageVerificationError raised by Stage._run_verification when pre/post stage input/output verification detects fields failing validation; it lists the failed fields plus a detailed per-field summary. Runs automatically inside Stage.__call__.
Source
Thrown at python/sglang/multimodal_gen/runtime/pipelines_core/stages/base.py:340
Args:
verification_result: Results from verify_input or verify_output
stage_name: Name of the current stage
verification_type: "input" or "output"
"""
if not verification_result.is_valid():
failed_fields = verification_result.get_failed_fields()
if failed_fields:
# Get detailed failure information
detailed_summary = verification_result.get_failure_summary()
failed_fields_str = ", ".join(failed_fields)
error_msg = (
f"{verification_type.capitalize()} verification failed for {stage_name}: "
f"Failed fields: {failed_fields_str}\n"
f"Details: {detailed_summary}"
)
raise StageVerificationError(error_msg)
@property
def device(self) -> torch.device:
"""Get the device for this stage."""
return torch.device(
current_platform.device_type,
)
def set_logging(self, enable: bool):
"""
Enable or disable logging for this stage.
Args:
enable: Whether to enable logging.
"""
self._enable_logging = enable
def __call__(View on GitHub (pinned to 0132848349)
Solutions
- Read the Failed fields/Details in the message to identify the offending field
- Fix the upstream producer or the stage's verification spec so they agree
- Temporarily relax verification config for debugging, then re-enable
Defensive patterns
Strategy: try-catch
Validate before calling
null
Try / catch
try:
out = stage(inp)
except StageVerificationError as e:
log_verification_failure(stage.name, e); raise Prevention
- Run single-stage smoke tests with representative tensors in CI
- Keep verification field specs in sync with producer stage outputs
When it happens
Trigger: A stage whose declared input/output schema fields fail type/shape/content verification when the stage is invoked in the pipeline.
Common situations: Pipeline wiring changes pass a tensor of wrong dtype/shape; a stage's verification config drifts from what upstream stages emit; version upgrade tightening verification rules.
Understand the failure class
Background: Schema validation failed / invalid input schema: payload rejected because its shape doesn't match the expected schema — this error's family across 28 libraries.
Related errors
- batching config rule from {source} must be an object, got {t
- {} did not declare component use: {}
- canonical request missing {key!r}
- {kind} transition actions must be a list
- Invalid external ngram corpus record at line {line_no}: expe
AI-assisted analysis of sgl-project/sglang@0132848349 (2026-08-28).
Data as JSON: /api/errors/bd4b0f88bbaff682.
Report an issue: GitHub.