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>

tests/unit_tests/provider/test_requester_base.py

@@ -15,6 +15,7 @@ from langbot.pkg.provider.modelmgr import requester
 from langbot.pkg.provider.modelmgr import token
 from langbot.pkg.entity.persistence import model as persistence_model
 from langbot.pkg.provider.modelmgr.errors import RequesterError
+from tests.unit_tests.provider.conftest import TEST_EXECUTION_CONTEXT, TEST_WORKSPACE_UUID
 
 
 # ============================================================================
@@ -134,6 +135,7 @@ async def test_requester_invoke_rerank_not_implemented():
 
     # Create fake model
     fake_provider_entity = persistence_model.ModelProvider(
+        workspace_uuid=TEST_WORKSPACE_UUID,
         uuid='provider-uuid',
         name='Provider',
         requester='test',
@@ -143,17 +145,20 @@ async def test_requester_invoke_rerank_not_implemented():
     fake_token_mgr = token.TokenManager(name='test', tokens=[])
     fake_requester = inst
     fake_provider = requester.RuntimeProvider(
+        execution_context=TEST_EXECUTION_CONTEXT,
         provider_entity=fake_provider_entity,
         token_mgr=fake_token_mgr,
         requester=fake_requester,
     )
     fake_model_entity = persistence_model.RerankModel(
+        workspace_uuid=TEST_WORKSPACE_UUID,
         uuid='model-uuid',
         name='Model',
         provider_uuid='provider-uuid',
         extra_args={},
     )
     fake_model = requester.RuntimeRerankModel(
+        execution_context=TEST_EXECUTION_CONTEXT,
         model_entity=fake_model_entity,
         provider=fake_provider,
     )
@@ -289,6 +294,7 @@ async def test_runtime_provider_invoke_llm_delegates(runtime_provider, runtime_l
         resp_message_chain=None,
         current_stage_name=None,
     )
+    object.__setattr__(query, '_execution_context', TEST_EXECUTION_CONTEXT)
 
     messages = [
         provider_message.Message(role='user', content=[provider_message.ContentElement(type='text', text='Hello')])
@@ -332,6 +338,7 @@ async def test_runtime_provider_invoke_llm_stream_yields_chunks(runtime_provider
         resp_message_chain=None,
         current_stage_name=None,
     )
+    object.__setattr__(query, '_execution_context', TEST_EXECUTION_CONTEXT)
 
     messages = [
         provider_message.Message(role='user', content=[provider_message.ContentElement(type='text', text='Hello')])
@@ -350,7 +357,11 @@ async def test_runtime_provider_invoke_embedding_returns_vectors(runtime_provide
     """Test RuntimeProvider.invoke_embedding returns embedding vectors."""
     provider = runtime_provider
 
-    result = await provider.invoke_embedding(runtime_embedding_model, ['text1', 'text2'])
+    result = await provider.invoke_embedding(
+        runtime_embedding_model,
+        ['text1', 'text2'],
+        execution_context=TEST_EXECUTION_CONTEXT,
+    )
 
     assert len(result) == 2
     assert result[0] == [0.1, 0.2, 0.3]
@@ -362,7 +373,12 @@ async def test_runtime_provider_invoke_rerank_returns_scores(runtime_provider, r
     # Need to use the correct provider for rerank model
     provider = runtime_rerank_model.provider
 
-    result = await provider.invoke_rerank(runtime_rerank_model, 'query', ['doc1', 'doc2', 'doc3'])
+    result = await provider.invoke_rerank(
+        runtime_rerank_model,
+        'query',
+        ['doc1', 'doc2', 'doc3'],
+        execution_context=TEST_EXECUTION_CONTEXT,
+    )
 
     assert len(result) == 3
     assert result[0]['index'] == 0
@@ -532,6 +548,7 @@ async def test_runtime_provider_invoke_llm_propagates_error(mock_app_for_modelmg
     await requester_inst.initialize()
 
     provider_entity = persistence_model.ModelProvider(
+        workspace_uuid=TEST_WORKSPACE_UUID,
         uuid='error-provider',
         name='Error Provider',
         requester='error-requester',
@@ -541,19 +558,25 @@ async def test_runtime_provider_invoke_llm_propagates_error(mock_app_for_modelmg
     token_mgr = token.TokenManager(name='error-provider', tokens=['error-key'])
 
     provider = requester.RuntimeProvider(
+        execution_context=TEST_EXECUTION_CONTEXT,
         provider_entity=provider_entity,
         token_mgr=token_mgr,
         requester=requester_inst,
     )
 
     model_entity = persistence_model.LLMModel(
+        workspace_uuid=TEST_WORKSPACE_UUID,
         uuid='error-model',
         name='Error Model',
         provider_uuid='error-provider',
         abilities=[],
         extra_args={},
     )
-    model = requester.RuntimeLLMModel(model_entity=model_entity, provider=provider)
+    model = requester.RuntimeLLMModel(
+        execution_context=TEST_EXECUTION_CONTEXT,
+        model_entity=model_entity,
+        provider=provider,
+    )
 
     import langbot_plugin.api.entities.builtin.provider.message as provider_message
     import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
@@ -580,6 +603,7 @@ async def test_runtime_provider_invoke_llm_propagates_error(mock_app_for_modelmg
         resp_message_chain=None,
         current_stage_name=None,
     )
+    object.__setattr__(query, '_execution_context', TEST_EXECUTION_CONTEXT)
 
     messages = [
         provider_message.Message(role='user', content=[provider_message.ContentElement(type='text', text='Hello')])