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
+19 -5
View File
@@ -11,6 +11,7 @@ import langbot_plugin.api.entities.builtin.pipeline.query as pipeline_query
import langbot_plugin.api.entities.builtin.provider.message as provider_message
import langbot_plugin.api.entities.builtin.rag.context as rag_context
from ...pipeline.pool import get_query_execution_context
rag_combined_prompt_template = """
The following are relevant context entries retrieved from the knowledge base.
@@ -210,7 +211,7 @@ class LocalAgentRunner(runner.RequestRunner):
req_messages.append(
provider_message.Message(
role='system',
content=self.ap.box_service.get_system_guidance(query.query_id),
content=self.ap.box_service.get_system_guidance(query),
)
)
@@ -223,11 +224,15 @@ class LocalAgentRunner(runner.RequestRunner):
) -> list[modelmgr_requester.RuntimeLLMModel]:
"""Build ordered list of models to try: primary model + fallback models."""
candidates = []
execution_context = get_query_execution_context(query)
# Primary model
if query.use_llm_model_uuid:
try:
primary = await self.ap.model_mgr.get_model_by_uuid(query.use_llm_model_uuid)
primary = await self.ap.model_mgr.get_model_by_uuid(
execution_context,
query.use_llm_model_uuid,
)
candidates.append(primary)
except ValueError:
self.ap.logger.warning(f'Primary model {query.use_llm_model_uuid} not found')
@@ -236,7 +241,10 @@ class LocalAgentRunner(runner.RequestRunner):
fallback_uuids = (query.variables or {}).get('_fallback_model_uuids', [])
for fb_uuid in fallback_uuids:
try:
fb_model = await self.ap.model_mgr.get_model_by_uuid(fb_uuid)
fb_model = await self.ap.model_mgr.get_model_by_uuid(
execution_context,
fb_uuid,
)
candidates.append(fb_model)
except ValueError:
self.ap.logger.warning(f'Fallback model {fb_uuid} not found, skipping')
@@ -346,12 +354,13 @@ class LocalAgentRunner(runner.RequestRunner):
if kb_uuids and user_message_text:
# only support text for now
all_results: list[rag_context.RetrievalResultEntry] = []
execution_context = get_query_execution_context(query)
kb_engine_plugins: set[str] = set()
# Retrieve from each knowledge base
for kb_uuid in kb_uuids:
kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(kb_uuid)
kb = await self.ap.rag_mgr.get_knowledge_base_by_uuid(execution_context, kb_uuid)
if not kb:
self.ap.logger.warning(f'Knowledge base {kb_uuid} not found, skipping')
@@ -364,6 +373,7 @@ class LocalAgentRunner(runner.RequestRunner):
kb_engine_plugins.add(engine_plugin_id)
result = await kb.retrieve(
execution_context,
user_message_text,
settings={
'bot_uuid': query.bot_uuid or '',
@@ -398,7 +408,10 @@ class LocalAgentRunner(runner.RequestRunner):
)
if all_results and rerank_model_uuid:
try:
rerank_model = await self.ap.model_mgr.get_rerank_model_by_uuid(rerank_model_uuid)
rerank_model = await self.ap.model_mgr.get_rerank_model_by_uuid(
execution_context,
rerank_model_uuid,
)
rerank_top_k = int(local_agent_config.get('rerank-top-k', 5))
doc_texts = []
@@ -411,6 +424,7 @@ class LocalAgentRunner(runner.RequestRunner):
model=rerank_model,
query=user_message_text,
documents=doc_texts_capped,
execution_context=execution_context,
)
scored = sorted(scores, key=lambda x: x.get('relevance_score', 0), reverse=True)