fix(cloud): handle unavailable skill capability

This commit is contained in:
dadachann
2026-07-29 18:55:44 +00:00
parent 4b2a628db6
commit d3c443a2c8
3 changed files with 105 additions and 1 deletions
@@ -2,6 +2,7 @@ from __future__ import annotations
import quart
from langbot.pkg.cloud.entitlements import EntitlementFeatureUnavailableError
from langbot_plugin.box.errors import BoxError
from ...authz import Permission
@@ -23,6 +24,11 @@ class SkillsRouterGroup(group.RouterGroup):
async def list_skills(request_context: RequestContext) -> quart.Response:
try:
skills = await self.ap.skill_service.list_skills(request_context)
except EntitlementFeatureUnavailableError:
# Plans without managed sandbox support have no runnable skills.
# Treat that capability absence as an empty collection so the
# shared UI can render normally instead of surfacing a 500.
return self.success(data={'skills': []})
except (ValueError, BoxError) as exc:
return self.http_status(400, -1, str(exc))
return self.success(data={'skills': skills})
+20 -1
View File
@@ -17,6 +17,22 @@ class EntitlementUnavailableError(RuntimeError):
self.entitlement_revision = entitlement_revision
class EntitlementFeatureUnavailableError(EntitlementUnavailableError):
"""Raised only when an active entitlement does not grant one feature."""
def __init__(
self,
feature: str,
*,
entitlement_revision: int | None = None,
) -> None:
self.feature = feature
super().__init__(
f'Workspace entitlement does not grant {feature}',
entitlement_revision=entitlement_revision,
)
class EntitlementSnapshot(pydantic.BaseModel):
"""Capability projection consumed by open-source Core.
@@ -82,7 +98,10 @@ class EntitlementSnapshot(pydantic.BaseModel):
def require_feature(self, feature: str) -> None:
if self.features.get(feature) is not True:
raise EntitlementUnavailableError(f'Workspace entitlement does not grant {feature}')
raise EntitlementFeatureUnavailableError(
feature,
entitlement_revision=self.entitlement_revision,
)
def limit(self, name: str) -> int:
value = self.limits.get(name)