sgl-project/sglang · error · Exception
GenerativeModel
Error message
GenerativeModel
What it means
In the VertexAI backend's __init__, a module-level import of GenerativeModel was wrapped in try/except that stores the exception; if the import failed (e.g. google-cloud-aiplatform not installed), __init__ re-raises that stored import error. It indicates the optional VertexAI dependency is missing or broken.
Source
Thrown at python/sglang/lang/backend/vertexai.py:25
from sglang.lang.ir import SglSamplingParams
try:
import vertexai
from vertexai.preview.generative_models import (
GenerationConfig,
GenerativeModel,
Image,
)
except ImportError as e:
GenerativeModel = e
class VertexAI(BaseBackend):
def __init__(self, model_name, safety_settings=None):
super().__init__()
if isinstance(GenerativeModel, Exception):
raise GenerativeModel
project_id = os.environ["GCP_PROJECT_ID"]
location = os.environ.get("GCP_LOCATION")
vertexai.init(project=project_id, location=location)
self.model_name = model_name
self.chat_template = get_chat_template("default")
self.safety_settings = safety_settings
def get_chat_template(self):
return self.chat_template
def generate(
self,
s: StreamExecutor,
sampling_params: SglSamplingParams,
):
if s.messages_:View on GitHub (pinned to 0132848349)
Solutions
- pip install google-cloud-aiplatform (and shirley-vertexai or the vertexai package version the code expects)
- Check the stored exception: run `import vertexai.generative_models` in the same interpreter to see the real import error
- Pin compatible versions of google-auth / google-cloud-aiplatform if there is a dependency conflict
Example fix
# before
backend = VertexAI("gemini-1.5-pro")
# after
pip install google-cloud-aiplatform
backend = VertexAI("gemini-1.5-pro") Defensive patterns
Strategy: validation
Validate before calling
try:
import vertexai # noqa
from vertexai.generative_models import GenerativeModel # noqa
vertexai_ok = True
except Exception:
vertexai_ok = False
if not vertexai_ok:
raise SystemExit("Install google-cloud-aiplatform to use the VertexAI backend") Type guard
def has_vertexai() -> bool:
try:
import vertexai.generative_models # noqa: F401
return True
except ImportError:
return False Try / catch
try:
backend = VertexAI(model_name)
except Exception as e:
raise RuntimeError(f"VertexAI backend unavailable: {e}") from e Prevention
- Install optional extras in the same environment as sglang when using non-default backends
- Smoke-test the backend import in deployment startup checks
- Pin google-cloud-aiplatform versions to avoid transitive breakage
When it happens
Trigger: Instantiating VertexAI backend (e.g. lang backend selection for Gemini models) without google-cloud-aiplatform / vertexai installed, or with an incompatible version where `from vertexai.generative_models import GenerativeModel` fails.
Common situations: Using sglang's lang frontend with backend="vertexai" in an environment lacking the extra dependency; dependency conflicts after upgrading google libraries; CI environments that only install core requirements.
Related errors
- Can not import FA3 in sgl_kernel. Please check your installa
- cuda.bindings.driver is required for CUDA VMM operations
- Failed to load serve backend {name!r} from {self._entry_poin
- {_METALLIB_NAME} not found next to the native Metal extensio
- FlashAttention-4 CUTE is not available. Install flash-attn-4
AI-assisted analysis of sgl-project/sglang@0132848349 (2026-08-28).
Data as JSON: /api/errors/e815591a9543fe3c.
Report an issue: GitHub.