The connectZclawStream call in the synchronous code path (common case
when agentId is already known) was missing the subagent_enabled field,
causing Gateway-connected clients to never send the flag to the server.
When the agent writes files via the file_write tool, artifacts are now
automatically created in the artifact panel. The file extension determines
the artifact type (code/markdown/text) and syntax highlighting language.
This connects the existing ArtifactPanel UI to actual tool output data.
Phase 1.0 — Butler Mode UI:
- Hide "自动化" and "技能市场" entries from sidebar navigation
- Remove AutomationPanel and SkillMarket view rendering from App.tsx
- Simplify MainViewType to only 'chat'
- Main interface is now: chat + conversation list + detail panel only
Phase 1.1 — Mode Differentiation:
- Add subagent_enabled field to ChatModeConfig (Rust), StreamChatRequest (Tauri),
gateway-client, kernel-client, saas-relay-client, and streamStore
- TaskTool is now only registered when subagent_enabled=true (Ultra mode)
- System prompt includes sub-agent delegation instructions only in Ultra mode
- Frontend transmits subagent_enabled from ChatMode config through the full stack
This connects the 4-tier mode selector (Flash/Thinking/Pro/Ultra) to actual
backend behavioral differences — Ultra mode now truly enables sub-agent delegation.
Previously hardcoded to false in Tauri bridge. Now checks whether
kernel provided a driver before building classroom, correctly flagging
placeholder content when LLM is unavailable.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Tests were referencing old monolithic useChatStore API. Updated to
use useConversationStore for conversation/agent/model state and
useChatStore for message operations. 10→0 failures.
Replace inline SVG whiteboard rendering in SceneRenderer with the
dedicated WhiteboardCanvas component, gaining chart/latex support
and eliminating 27 lines of duplicated rendering logic.
- P2-18: TOTP QR code local generation via qrcode lib (no external service)
- P2-21: Suspend foreign LLM providers (OpenAI/Anthropic/Gemini) for early stage
- P3-04: get_progress() now calculates actual percentage from completed/total steps
- P3-05: saveSaaSSession calls now have .catch() error logging
- P3-06: SaaS relay chatStream passes session_key/agent_id to backend
- P3-02: Whiteboard unification plan document created
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
1. Fix sidebar tab switching: replace containerVariants (staggerChildren
without motion children) with simple fade variants. The previous
staggerChildren:0.05 caused the container to stay at opacity:0 when
switching to CloneManager because non-motion children couldn't
participate in stagger animation.
2. Fix memory deduplication: add content+agentId based dedup check
in fallbackMemory.store(). Previously same content was stored 4x
with different IDs. Now updates importance/accessCount instead.
P1-04: GenerationPipeline hardcoded model="default" causing classroom
generation 404. Added model field to GenerationPipeline struct, passed
from kernel config via with_driver(driver, model). Static scene
generation now receives model parameter.
P1-03: LLM API concurrent 500 DATABASE_ERROR. Added transient DB error
retry (PoolTimedOut/Io) in create_relay_task with 200ms backoff.
Recommend setting ZCLAW_DB_MIN_CONNECTIONS=10 for burst resilience.
The tauri-plugin-mcp was registered in Rust but the frontend never called
setupPluginListeners(), causing all DOM-related MCP operations (execute_js,
query_page, type_text) to timeout. This fix enables proper dev debugging
via tauri-mcp tools.
Register 15 structured tools via navigator.modelContext (Chrome 146+)
for direct state queries without DOM scraping. Reduces token consumption
~67% vs DevTools MCP snapshot-based debugging. Dev mode only.
Tools: get_zclaw_state, check_connection, send_message, cancel_stream,
get_streaming_state, list_conversations, get_current_conversation,
switch_conversation, get_token_usage, get_offline_queue,
get_saas_account, get_available_models, get_current_agent,
list_agents, get_console_errors
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Unify ConnectionState: kernel-types.ts now canonical source
with 'handshaking', gateway-types.ts re-exports
- PromptTemplateInfo source/status → union literals
- PromptVariable.type → union literal
- CreateRoleRequest id/permissions → optional
- PropertyPanel: replace 13 as any with typed accessor pattern
- chatStore: window cast via as unknown as Record
- index.ts: add _storesInitialized guard to prevent triple initialization
- offlineStore.ts: add isRetrying mutex for retryAllMessages concurrency
- PropertyPanel.tsx: replace 13x (data as any) with typed d accessor
- chatStore.ts: replace window as any with Record<string, unknown>
- kernel-*.ts: replace prototype as any with Record<string, unknown>
- gateway-heartbeat.ts: delete dead code (9 as any, zero imports)
M1-01: Move Gemini API key from URL query param to x-goog-api-key header,
preventing key leakage in logs/proxy/telemetry (matches Anthropic/OpenAI pattern)
M1-03/M1-04: Replace Mutex .unwrap() with .unwrap_or_else(|e| e.into_inner())
in MemoryMiddleware and LoopGuardMiddleware — recovers from poison
instead of panicking async runtime
M2-08: Add input validation to agent_create — reject empty names,
out-of-range temperature (0-2), and zero max_tokens
M11-06: Replace Date.now() message ID with crypto.randomUUID()
to prevent collisions in classroom chat
The ChatArea.tsx toolSteps/subtasks rendering uses helper functions to avoid TypeScript strict mode && chain producing unknown type in JSX children. Add SubscriptionPanel component for subscription status display in SaaS billing section.
Sprint 2: 产品体验打磨 + 行业模板
- Create PipelineResultPreview component with tab-based output switching
- Connect workflow/hand messages to PresentationContainer in ChatArea
- Add auto-trigger first Hand after onboarding (industry-specific queries)
- Seed 3 industry agent templates (education, healthcare, design-shantou)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Model Groups provide logical model names that map to multiple physical
models across providers, with automatic failover when one provider's
key pool is exhausted.
Backend:
- New model_groups + model_group_members tables with FK constraints
- Full CRUD API (7 endpoints) with admin-only write permissions
- Cache layer: DashMap-backed CachedModelGroup with load_from_db
- Relay integration: ModelResolution enum for Direct/Group routing
- Cross-provider failover: sort_candidates_by_quota + OnceLock cache
- Relay failure path: record failure usage + relay_dequeue (fixes
queue counter leak that caused connection pool exhaustion)
- add_group_member: validate model_id exists before insert
Frontend:
- saas-relay-client: accept getModel() callback for dynamic model selection
- connectionStore: prefer conversationStore.currentModel over first available
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Kernel orchestration bridge: execute_orchestration, auto_compose_skills,
validate_orchestration methods on Kernel struct
- True parallel execution: replace sequential for-loop with tokio::JoinSet
for concurrent node execution within parallel groups
- Tauri commands: orchestration_execute (auto-compose or pre-defined graph),
orchestration_validate (dry-run validation)
- Full type conversions: OrchestrationRequest/Response with camelCase serde
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- MCPServices.tsx now calls real Tauri commands (start/stop/list)
instead of only toggling config flags
- Show running service count, discovered tools per service
- Expand/collapse tool list for each running MCP service
- Extended QuickConfig mcpServices type with command/args/env/cwd
- Config change persists enabled state, MCP start/stop happens live
Full E2E test suite for agent chat functionality including:
- Message send/receive flow
- Streaming response verification
- Model switching behavior
- Error handling scenarios
- Multi-turn conversation context
Includes test report documenting coverage and known gaps.
S6 MCP Protocol:
- Fix McpTransport::initialize() — store actual server capabilities instead
of discarding them and storing empty ServerCapabilities::default()
- Add send_notification() method to McpTransport for JSON-RPC notifications
- Send notifications/initialized after MCP handshake (spec requirement)
- Add McpToolAdapter: bridges MCP server tools into the tool execution path
- Add McpServiceManager: lifecycle management for MCP server connections
- Add 4 Tauri commands: mcp_start_service, mcp_stop_service,
mcp_list_services, mcp_call_tool
- Register zclaw-protocols dependency in desktop Cargo.toml
New files:
- crates/zclaw-protocols/src/mcp_tool_adapter.rs (153 lines)
- desktop/src-tauri/src/kernel_commands/mcp.rs (145 lines)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- ChatArea.tsx: remove duplicate useState(searchOpen) declaration on line 70
- scheduled_task/mod.rs: fix route from /api/scheduler/tasks to /api/v1/scheduler/tasks
(matches admin-v2 service baseURL pattern and all other modules)
- scheduled_task/handlers.rs: remove @reserved annotations (now has Admin V2 frontend)
- scheduled_task/handlers.rs: update doc comments with correct /api/v1/ paths
- Add welcomeMessage/quickCommands fields to Clone interface
- Persist template welcome/quick data via updateClone after creation
- FirstConversationPrompt: prefer template-provided welcome message
over dynamically generated one
- FirstConversationPrompt: render template quick_commands as chips
instead of hardcoded QUICK_ACTIONS when available
- Tighten assign/unassign template endpoint permissions from model:read
to relay:use (self-service operation for all authenticated users)
- Fix seed template tools to match actual runtime tool names
(file_read/file_write/shell_exec/web_fetch)
- Persist system_prompt/temperature/max_tokens via identity system
in agentStore.createFromTemplate()
- Fire-and-forget assignTemplate() in AgentOnboardingWizard
- Fix saas-relay-client unused variable warning
- Make pgvector extension optional in knowledge_base migration
- Increase StreamBridge timeout from 30s to 90s for thinking models
