feat(tenancy): add Workspace multi-tenant foundation (#2353)

* Document multi-tenant workspace architecture

* Add OSS and commercial workspace boundaries

* docs: redesign multi-tenant workspace architecture

* feat(tenancy): implement workspace isolation

* docs(tenancy): record verification evidence

* docs(tenancy): revise single-instance SaaS topology

* docs(tenancy): refine architecture options

* docs: finalize cloud v2 multi-tenant decisions

* feat(tenancy): establish cloud isolation foundations

* feat(tenancy): harden shared cloud runtime boundaries

* docs(tenancy): record final isolation verification

* fix(tenancy): close isolation and permission gaps

* docs(tenancy): record final isolation verification

* feat(tenancy): connect cloud workspace control plane

* fix(build): install git for pinned SDK

* docs(cloud): update control plane verification

* chore: update multi-tenant SDK pin

* fix(cloud): skip legacy model sync during startup

* test(cloud): preserve minimal model manager fixtures

* fix(cloud): preserve authenticated account context

* fix(cloud): reuse authenticated account for user info

* feat(cloud): complete Workspace settings navigation

* test(web): cover Workspace dropdown menu

* feat(web): place workspace controls in sidebar

* refactor(web): streamline workspace controls

* style(web): format workspace layout test

* fix(cloud): surface runtime and workspace plan status

* fix(plugin): keep runtime identity stable across restarts

* fix(ui): widen and center workspace switcher

* fix(ui): hide roles from workspace switcher

* fix(ui): align workspace switcher with sidebar entries

* feat(workspace): add in-product collaboration and direct Cloud launch

* style: format collaboration changes

* fix(workspace): bind collaboration APIs to tenant UoW

* fix(cloud): preserve Core-owned collaboration state

* test(cloud): require Space identity for invite registration

* feat(cloud): complete secure invitation experience

* style(web): format invitation flows

* fix(cloud): recover box runtime without unscoped skill reload

* feat(oss): enforce invitation account and owner billing flows

* style: format OSS account service

* test(oss): cover invitation logout handoff

* fix(oss): resolve workspace owner in scoped session

* feat(cloud): harden multi-tenant runtime resources

* fix(cloud): bound runtime restart storms

* fix(cloud): eliminate periodic runtime CPU spikes

* fix(cloud): enforce instance capacity ceilings

* fix(cloud): scope public login capability discovery

* fix(cloud): bound tenant maintenance and monitoring work

* fix(runtime): bound tenant resource amplification

* fix(deps): pin green multi-tenant plugin SDK

* fix(cloud): handle unavailable skill capability

* fix(security): require authentication for image file endpoint (H-2)

- Changed /api/v1/files/image from AuthType.NONE to USER_TOKEN_OR_API_KEY
- Added Permission.RESOURCE_VIEW requirement
- Prevents unauthenticated cross-tenant file access via leaked keys
- Fixes HIGH severity finding from multi-tenant security review

docs: add comprehensive database migration guide
- Complete migration steps for OSS → multi-tenant
- Backup, execution, verification procedures
- Rollback scenarios and recovery plans
- Performance tuning recommendations

* test: add comprehensive cross-tenant isolation tests

Added 7 critical test scenarios for multi-tenant boundaries:
- Cross-tenant bot access prevention
- Viewer role read-only enforcement
- Removed member immediate access revocation
- Model provider credential isolation
- WebSocket message isolation
- Invitation token workspace scoping
- Multi-workspace context validation

These tests address P0-2 coverage gaps for:
- workspaces.py (membership & invitation flows)
- user.py (authentication & authorization)
- websocket_chat.py (real-time isolation)
- plugins.py (resource access control)

docs: finalize database migration guide

* fix(security): resolve M-1, M-2, M-3 security findings

M-1: WebSocket authorization TOCTOU race (FIXED)
- Changed _revalidate_websocket_authorization to return RequestContext
- Ensures validated context is used immediately without race window
- Prevents removed members from sending messages during revalidation gap

M-2: Model Manager cache workspace isolation (VERIFIED)
- Confirmed _CacheKey already uses 4-tuple: (instance, workspace, generation, resource)
- Cache is properly scoped per workspace, no cross-tenant leakage possible
- No code change needed, documented as working correctly

M-3: Invitation lock workspace scoping (FIXED)
- Changed lock key from token_digest to workspace_uuid:token_digest
- Prevents DoS where attacker locks token in Workspace A to block Workspace B
- Locks now isolated per workspace

All MEDIUM severity findings from security review now resolved.

* fix(cloud): unblock tenant CI and enforce knowledge quotas

* fix(tenancy): scope rerank model sync

---------

Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
This commit is contained in:
RockChinQ
2026-07-30 21:43:35 +08:00
committed by GitHub
parent 463b120923
commit e1ac5e0fc8
468 changed files with 78320 additions and 13137 deletions
+86 -18
View File
@@ -19,6 +19,8 @@ from langbot.pkg.provider.modelmgr import requester
from langbot.pkg.provider.modelmgr.modelmgr import ModelManager
from langbot.pkg.provider.modelmgr.token import TokenManager
from langbot.pkg.provider.runners.localagent import LocalAgentRunner
from langbot.pkg.api.http.context import ExecutionContext
from langbot.pkg.workspace.entities import WorkspaceExecutionBinding
def test_runtime_llm_model_data_preserves_uuid_after_update_payload_uuid_removed():
@@ -95,11 +97,22 @@ async def test_model_manager_initialize_skips_space_sync_after_timeout():
ap.discover = SimpleNamespace(get_components_by_kind=Mock(return_value=[]))
ap.instance_config = SimpleNamespace(data={'space': {'models_sync_timeout': 0.01}})
ap.logger = Mock()
binding = WorkspaceExecutionBinding(
instance_uuid='instance-test',
workspace_uuid='workspace-test',
placement_generation=1,
write_fenced=False,
state='active',
)
ap.workspace_service = SimpleNamespace(
get_local_execution_binding=AsyncMock(return_value=binding),
get_execution_binding=AsyncMock(return_value=binding),
)
mgr = ModelManager(ap)
mgr.load_models_from_db = AsyncMock()
async def slow_sync():
async def slow_sync(_context):
await asyncio.sleep(1)
mgr.sync_new_models_from_space = AsyncMock(side_effect=slow_sync)
@@ -117,6 +130,14 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
model_uuid = 'qwen-model-uuid'
provider_uuid = 'ollama-provider-uuid'
workspace_uuid = 'workspace-test'
execution_context = ExecutionContext(
instance_uuid='instance-test',
workspace_uuid=workspace_uuid,
placement_generation=1,
bot_uuid='bot-uuid',
pipeline_uuid='pipeline-uuid',
)
ap = SimpleNamespace()
ap.logger = Mock()
@@ -126,24 +147,63 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
ap.plugin_connector = SimpleNamespace(
emit_event=AsyncMock(return_value=SimpleNamespace(event=SimpleNamespace(default_prompt=[], prompt=[])))
)
binding = WorkspaceExecutionBinding(
instance_uuid='instance-test',
workspace_uuid=workspace_uuid,
placement_generation=1,
write_fenced=False,
state='active',
)
ap.workspace_service = SimpleNamespace(get_execution_binding=AsyncMock(return_value=binding))
ap.model_mgr = ModelManager(ap)
runtime_provider = Mock()
ap.model_mgr.provider_dict = {provider_uuid: runtime_provider}
ap.model_mgr.llm_models = [
requester.RuntimeLLMModel(
model_entity=persistence_model.LLMModel(
uuid=model_uuid,
name='old-qwen-name',
provider_uuid=provider_uuid,
abilities=[],
extra_args={},
),
provider=runtime_provider,
)
]
runtime_provider = Mock(
execution_context=execution_context,
provider_entity=persistence_model.ModelProvider(
workspace_uuid=workspace_uuid,
uuid=provider_uuid,
name='Ollama',
requester='ollama',
base_url='http://localhost:11434',
api_keys=[],
),
)
cache_key = ('instance-test', workspace_uuid, 1, provider_uuid)
ap.model_mgr.provider_dict = {cache_key: runtime_provider}
runtime_model = requester.RuntimeLLMModel(
execution_context=execution_context,
model_entity=persistence_model.LLMModel(
workspace_uuid=workspace_uuid,
uuid=model_uuid,
name='old-qwen-name',
provider_uuid=provider_uuid,
abilities=[],
extra_args={},
),
provider=runtime_provider,
)
ap.model_mgr.llm_model_dict = {
('instance-test', workspace_uuid, 1, model_uuid): runtime_model,
}
await LLMModelsService(ap).update_llm_model(
ap.provider_service = SimpleNamespace(
get_provider=AsyncMock(return_value={'uuid': provider_uuid, 'workspace_uuid': workspace_uuid})
)
model_service = LLMModelsService(ap)
model_service.get_llm_model = AsyncMock(
return_value={
'uuid': model_uuid,
'workspace_uuid': workspace_uuid,
'name': 'old-qwen-name',
'provider_uuid': provider_uuid,
'abilities': [],
'context_length': None,
'extra_args': {},
'prefered_ranking': 0,
}
)
await model_service.update_llm_model(
workspace_uuid,
model_uuid,
{
'name': 'Qwen3.5-27B',
@@ -153,13 +213,17 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
},
)
runtime_model = await ap.model_mgr.get_model_by_uuid(model_uuid)
runtime_model = await ap.model_mgr.get_model_by_uuid(execution_context, model_uuid)
assert runtime_model.model_entity.uuid == model_uuid
assert runtime_model.model_entity.name == 'Qwen3.5-27B'
session = SimpleNamespace(
session = provider_session.Session(
instance_uuid='instance-test',
workspace_uuid=workspace_uuid,
placement_generation=1,
launcher_type=provider_session.LauncherTypes.PERSON,
launcher_id=12345,
bot_uuid='bot-uuid',
)
conversation = SimpleNamespace(
uuid='conversation-uuid',
@@ -194,6 +258,9 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
'output': {'misc': {'remove-think': False}},
}
query = pipeline_query.Query.model_construct(
instance_uuid='instance-test',
workspace_uuid=workspace_uuid,
placement_generation=1,
query_id='query-id',
launcher_type=provider_session.LauncherTypes.PERSON,
launcher_id=12345,
@@ -215,6 +282,7 @@ async def test_updated_llm_model_is_immediately_usable_by_local_agent_pipeline()
resp_message_chain=None,
current_stage_name=None,
)
object.__setattr__(query, '_execution_context', execution_context)
result = await PreProcessor(ap).process(query, 'PreProcessor')
processed_query = result.new_query