- PersonalityConfig with 4 dimensions: tone, proactiveness, formality, humor
- Signal detection from Chinese user messages (e.g. "说简单点" → Simple tone)
- apply_personality_adjustments() returns new immutable config
- build_personality_prompt() injects personality into system prompts
- Integrated into post_conversation_hook for automatic detection
- In-memory persistence via OnceLock (VikingStorage integration TODO)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Enable multi-agent feature by default in desktop build
- Add butler delegation logic: task decomposition, expert assignment
- Add ExpertTask, DelegationResult, butler_delegate() to Director
- Add butler_delegate_task Tauri command bridging Director to frontend
- 13 Director tests passing (6 original + 7 new butler tests)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Priority 90 — runs before Compaction@100 and Memory@150.
Detects and replaces company names, money amounts, phone numbers,
emails, and ID card numbers with deterministic tokens (__ENTITY_N__).
External callers can restore originals via DataMasker::unmask().
Task 1.1 verification: OpenViking Extractor chain is confirmed working.
- Tauri commands registered ✅
- Frontend triggers after each conversation ✅
- Rust extractor with LLM + rule-based fallback ✅
- SqliteStorage persistence verified via 3 new e2e tests
All 78 tests in zclaw-growth pass with no regressions.
HIGH fixes:
- H-NS-1: Non-streaming agent_chat now builds ChatModeConfig and calls
send_message_with_chat_mode(), matching the streaming path
- H-FE-1: ClarificationCard component renders structured clarification
questions with type badge, question text, and numbered options
- H-SEM-1: SemanticSkillRouter annotated as @reserved (Phase 3 wiring)
MEDIUM fixes:
- M-SETTINGS-1: Settings menu restructured with "高级" section separator;
skills/audit/tasks/heartbeat/semantic-memory grouped under advanced
- M-MAN-1: LoopEvent→StreamChatEvent mapping completeness checklist
added as documentation comment in agent_chat_stream loop
- M-ORPH-1: Deleted orphaned Automation/ and SkillMarket/ files,
plus transitively orphaned types, hooks, and adapters
CRITICAL:
- ask_clarification now terminates Agent Loop in both run() and run_streaming()
paths, preventing the LLM from continuing after requesting user clarification
HIGH:
- SaaS relay now forwards plan_mode and subagent_enabled to backend
- GatewayClient.chatStream now supports onThinkingDelta, onSubtaskStatus,
and token-bearing onComplete — aligned with kernel-types StreamCallbacks
- ZclawStreamEvent type extended with thinking_delta, subtask_status variants
and input_tokens/output_tokens fields for token tracking via Gateway path
- C-1: Add event_sender: None to ToolContext in file_write.rs and
file_read.rs test helper functions (compilation fix)
- I-1: file_write tool now echoes content preview in output JSON,
enabling streamStore.ts artifact auto-creation pipeline to work
- S-2: Fix typo "LLM 锥应错误" → "LLM 响应错误" in loop_runner.rs
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.
- New ask_clarification tool (crates/zclaw-runtime/src/tool/builtin/ask_clarification.rs)
with 5 clarification types: missing_info, ambiguous_requirement, approach_choice, risk_confirmation, suggestion
- Registered as built-in tool in builtin.rs
- Added clarification system prompt instructions to messaging.rs system prompt
- Fixed messaging.rs skill injection: when SkillIndexMiddleware is active,
only inject usage instructions (not full skill list), avoiding duplicate injection
- Fixed pre-existing unicode arrow character causing string literal parse error
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When SkillIndexMiddleware is active, build_system_prompt_with_skills no
longer injects the full categorized skill list. Instead it only adds
usage instructions, while the middleware handles the lightweight index.
This reduces ~2000 tokens per request for the 75-skill system.
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>
Deep audit of DEFECT_LIST.md verified every claimed fix against actual code:
- P3-03/P3-07/P3-09 were found unimplemented, now all fixed
- M11-01 confirmed as FALSE_POSITIVE (blocking_lock never existed)
- All P0-P3 defects closed, cargo check passes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
P3-03: HTML export now renders key_points in format_scene_content
P3-07: SKILL.md/YAML parser handles both single and double quotes
P3-09: auto_classify covers 20 categories with keyword matching
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>
- Add 22 new entries for P2-01 through P3-09 fixes with exact file evidence
- Correct stale line numbers: M11-02 (431→440,516), M11-06 (176→187)
- All 18 legacy entries verified present in codebase
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>
- Add IF NOT EXISTS to accounts_template_assignment ALTER COLUMN
- Add IF NOT EXISTS to webhooks CREATE INDEX statements
- Add created_at/updated_at columns + ON CONFLICT DO NOTHING to industry templates
- Bump SCHEMA_VERSION 13→14 to force migration re-run on existing DB
