Align branding, prompts, and deployment tooling

feat: update openclaw workspace integration
chore: sync current workspace changes
2026-03-28 22:16:56 +08:00 · 2026-03-27 22:27:16 +08:00 · 2026-03-27 11:27:26 +08:00 · 2026-03-27 11:08:15 +08:00
134 changed files with 10270 additions and 2790 deletions
--- a/.env.example
+++ b/.env.example
@@ -2,7 +2,7 @@
 # Keep `.env` untracked and never paste real secrets into tracked files.

 # ================== General Configuration | 通用配置 ==================
-TICKERS=AAPL,MSFT,GOOGL,NVDA,TSLA,META,AMZN
+TICKERS=AAPL,MSFT,GOOGL,AMZN,NVDA,META,TSLA,AMD,NFLX,AVGO,PLTR,COIN

 # Financial Data API
 # At least `FINANCIAL_DATASETS_API_KEY` is required when using `FIN_DATA_SOURCE=financial_datasets`.
--- a/.gitignore
+++ b/.gitignore
@@ -51,7 +51,6 @@ node_modules
 outputs/
 /production/
 /smoke_test/
-/smoke_live_mock/

 # Local tooling state
 .omc/
--- a/.omc/project-memory.json
+++ b/.omc/project-memory.json
@@ -1,6 +1,6 @@
 {
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+  "lastScanned": 1774515151036,
  "projectRoot": "/Users/cillin/workspeace/evotraders",
  "techStack": {
    "languages": [
@@ -54,7 +54,7 @@
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@@ -66,14 +66,14 @@
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@@ -84,14 +84,14 @@
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@@ -100,7 +100,7 @@
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@@ -113,7 +113,7 @@
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@@ -169,7 +156,7 @@
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@@ -203,7 +183,7 @@
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@@ -213,8 +193,8 @@
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@@ -225,7 +205,7 @@
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@@ -236,7 +216,7 @@
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@@ -246,261 +226,309 @@
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--- a/.omc/state/hud-state.json
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 {
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+++ b/.omc/state/hud-stdin-cache.json
@@ -1 +1 @@
-{"session_id":"fda34772-7bd2-402e-86b2-d656296416f3","transcript_path":"/Users/cillin/.claude/projects/-Users-cillin-workspeace-evotraders/fda34772-7bd2-402e-86b2-d656296416f3.jsonl","cwd":"/Users/cillin/workspeace/evotraders","model":{"id":"MiniMax-M2.7-highspeed","display_name":"MiniMax-M2.7-highspeed"},"workspace":{"current_dir":"/Users/cillin/workspeace/evotraders","project_dir":"/Users/cillin/workspeace/evotraders","added_dirs":[]},"version":"2.1.78","output_style":{"name":"default"},"cost":{"total_cost_usd":36.63980749999998,"total_duration_ms":69778027,"total_api_duration_ms":2925118,"total_lines_added":3056,"total_lines_removed":4537},"context_window":{"total_input_tokens":910503,"total_output_tokens":145207,"context_window_size":200000,"current_usage":{"input_tokens":507,"output_tokens":247,"cache_creation_input_tokens":4132,"cache_read_input_tokens":96553},"used_percentage":51,"remaining_percentage":49},"exceeds_200k_tokens":false}
+{"session_id":"cbb9004e-771b-4e82-95d4-cea6d9753642","transcript_path":"/Users/cillin/.claude/projects/-Users-cillin-workspeace-evotraders/cbb9004e-771b-4e82-95d4-cea6d9753642.jsonl","cwd":"/Users/cillin/workspeace/evotraders","model":{"id":"MiniMax-M2.7-highspeed","display_name":"MiniMax-M2.7-highspeed"},"workspace":{"current_dir":"/Users/cillin/workspeace/evotraders","project_dir":"/Users/cillin/workspeace/evotraders","added_dirs":[]},"version":"2.1.78","output_style":{"name":"default"},"cost":{"total_cost_usd":0.660433,"total_duration_ms":168502,"total_api_duration_ms":37670,"total_lines_added":0,"total_lines_removed":0},"context_window":{"total_input_tokens":14416,"total_output_tokens":1705,"context_window_size":200000,"current_usage":{"input_tokens":461,"output_tokens":214,"cache_creation_input_tokens":0,"cache_read_input_tokens":53991},"used_percentage":27,"remaining_percentage":73},"exceeds_200k_tokens":false}
--- a/.omc/state/idle-notif-cooldown.json
+++ b/.omc/state/idle-notif-cooldown.json
@@ -1,3 +1,3 @@
 {
-  "lastSentAt": "2026-03-24T08:58:57.965Z"
+  "lastSentAt": "2026-03-27T04:55:49.635Z"
 }
--- a/.omc/state/subagent-tracking.json
+++ b/.omc/state/subagent-tracking.json
@@ -1,26 +0,0 @@
-{
-  "agents": [
-    {
-      "agent_id": "abeaf609b74a2b7ee",
-      "agent_type": "Explore",
-      "started_at": "2026-03-24T08:01:40.015Z",
-      "parent_mode": "none",
-      "status": "completed",
-      "completed_at": "2026-03-24T08:02:31.822Z",
-      "duration_ms": 51807
-    },
-    {
-      "agent_id": "afb6750eaae72bc72",
-      "agent_type": "Explore",
-      "started_at": "2026-03-24T08:56:21.471Z",
-      "parent_mode": "none",
-      "status": "completed",
-      "completed_at": "2026-03-24T08:57:27.856Z",
-      "duration_ms": 66385
-    }
-  ],
-  "total_spawned": 2,
-  "total_completed": 2,
-  "total_failed": 0,
-  "last_updated": "2026-03-24T08:59:06.380Z"
-}
--- a/.playwright-mcp/page-2026-03-26T12-28-14-006Z.png
+++ b/.playwright-mcp/page-2026-03-26T12-28-14-006Z.png
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -6,7 +6,7 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co

 ## 项目概述

-EvoTraders 是一个自进化多智能体交易系统，由 6 个 AI Agent（4 名分析师 + 投资经理 + 风控经理）协作完成交易决策。Agent 基于 AgentScope 框架构建，配合 ReMe 记忆系统实现持续学习。
+大时代 是一个自进化多智能体交易系统，由 6 个 AI Agent（4 名分析师 + 投资经理 + 风控经理）协作完成交易决策。Agent 基于 AgentScope 框架构建，配合 ReMe 记忆系统实现持续学习。

 ## 常用命令

@@ -20,7 +20,6 @@ uv pip install -e .
 evotraders backtest --start 2025-11-01 --end 2025-12-01  # 回测模式
 evotraders backtest --start 2025-11-01 --end 2025-12-01 --enable-memory  # 带记忆回测
 evotraders live                              # 实盘交易
-evotraders live --mock                       # 模拟/测试模式
 evotraders live -t 22:30                     # 定时每日交易
 evotraders frontend                          # 启动可视化界面

@@ -28,7 +27,7 @@ evotraders frontend                          # 启动可视化界面
 ./start-dev.sh  # 启动全部 4 个微服务 (agent, runtime, trading, news)

 # Gateway WebSocket 服务器
-python backend/main.py --mode live --config-name mock --mock
+python backend/main.py --mode live --config-name live

 # 单独启动微服务
 python -m uvicorn backend.apps.runtime_service:app --host 0.0.0.0 --port 8003 --reload
@@ -189,7 +188,6 @@ backend/
 │   ├── schema.py           # 数据 schema
 │   ├── historical_price_manager.py  # 历史价格管理
 │   ├── polling_price_manager.py     # 轮询价格管理
-│   ├── mock_price_manager.py       # Mock 价格管理
 │   ├── news_alignment.py   # 新闻对齐
 │   ├── polygon_client.py   # Polygon.io 客户端
 │   └── ret_data_updater.py # 离线数据更新
--- a/README.md
+++ b/README.md
@@ -1,36 +1,34 @@
 <p align="center">
-  <img src="./docs/assets/evotraders_logo.jpg" width="45%">
+  <img src="./docs/assets/bigtime_logo.jpg" width="45%">
 </p>

-<h2 align="center">EvoTraders: A Self-Evolving Multi-Agent Trading System</h2>
+<h2 align="center">大时代：自进化多智能体交易系统</h2>

 <p align="center">
-  📌 <a href="http://trading.evoagents.cn">Visit us at EvoTraders website !</a>
+  📌 <a href="http://trading.evoagents.cn">Visit the 大时代 website</a>
 </p>

-![System Demo](./docs/assets/evotraders_demo.gif)
+![System Demo](./docs/assets/bigtime_demo.gif)

-EvoTraders is an open-source financial trading agent framework that builds a trading system capable of continuous learning and evolution in real markets through multi-agent collaboration and memory systems.
+大时代 is an open-source financial trading agent framework that combines multi-agent collaboration, run-scoped workspaces, and memory to support both backtests and live trading workflows.
+
+The repository name and CLI entrypoints still use `evotraders` for compatibility, but the product-facing branding now follows the 大时代 naming used by the reference branch.

 ---

 ## Core Features

-**Multi-Agent Collaborative Trading**
-A team of 6 members, including 4 specialized analyst roles (fundamentals, technical, sentiment, valuation) + portfolio manager + risk management, collaborating to make decisions like a real trading team.
+**Multi-agent trading team**
+Six roles collaborate like a real desk: four specialist analysts (fundamentals, technical, sentiment, valuation), one portfolio manager, and one risk manager.

-You can customize your Agents here: [Custom Configuration](#custom-configuration)
+**Continuous learning**
+Agents can persist long-term memory with ReMe, reflect after each cycle, and evolve their decision patterns over time.

-**Continuous Learning and Evolution**
-Based on the ReMe memory framework, agents reflect and summarize after each trade, preserving experience across rounds, and forming unique investment methodologies.
+**Backtest and live modes**
+The same runtime model supports historical simulation and live execution with real-time market data.

-Through this design, we hope that when AI Agents form a team and enter the real-time market, they will gradually develop their own trading styles and decision preferences, rather than one-time random inference.
-
-**Real-Time Market Trading**
-Supports real-time market data integration, providing backtesting mode and live trading mode, allowing AI Agents to learn and make decisions in real market fluctuations.
-
-**Visualized Trading Information**
-Observe agents' analysis processes, communication records, and decision evolution in real-time, with complete tracking of return curves and analyst performance.
+**Operator-facing UI**
+The frontend exposes the trading room, runtime controls, logs, approvals, agent workspaces, and explain/news views.

 <p>
  <img src="docs/assets/performance.jpg" width="45%">
@@ -39,83 +37,177 @@ Observe agents' analysis processes, communication records, and decision evolutio

 ---

+## Current Architecture
+
+The repository is currently in a transition from a modular monolith to split service surfaces. The split-service path is the default local development mode.
+
+Current app surfaces:
+
+- `backend.apps.agent_service` on `:8000`: control plane for workspaces, agents, skills, and guard/approval APIs
+- `backend.apps.trading_service` on `:8001`: read-only trading data APIs
+- `backend.apps.news_service` on `:8002`: read-only explain/news APIs
+- `backend.apps.runtime_service` on `:8003`: runtime lifecycle APIs
+- `backend.apps.openclaw_service` on `:8004`: read-only OpenClaw facade
+- WebSocket gateway on `:8765`: live event/feed channel for the frontend
+
+The most important runtime path today is:
+
+`frontend -> runtime_service/control APIs -> gateway/runtime manager -> market service + pipeline + storage`
+
+Reference notes for the migration live in [services/README.md](./services/README.md).
+
+---
+
 ## Quick Start

-### Installation
+### 1. Install

 ```bash
-# Clone repository
-git clone https://github.com/agentscope-ai/agentscope-samples
-cd agentscope-samples/EvoTraders
+# clone this repository, then:
+cd evotraders

-# Install dependencies (Recommend uv!)
+# backend runtime dependencies
+uv pip install -r requirements.txt
+
+# install package entrypoint in editable mode
 uv pip install -e .
-# optional: pip install -e .

+# optional
+# uv pip install -e ".[dev]"
+# pip install -e .
+```

-# Configure environment variables
+Frontend dependencies:
+
+```bash
+cd frontend
+npm ci
+cd ..
+```
+
+Production deployment should prefer `requirements.txt` for backend and `npm ci` for frontend so the pulled environment matches the checked-in lockfiles and version pins.
+
+### 2. Configure environment
+
+```bash
 cp env.template .env
-# Edit .env file and add your API Keys. The following config are required:
+```

-# finance data API: At minimum, FINANCIAL_DATASETS_API_KEY is required, corresponding to FIN_DATA_SOURCE=financial_datasets; It is recommended to add FINNHUB_API_KEY, corresponding to FIN_DATA_SOURCE=finnhub; If using live mode, FINNHUB_API_KEY must be added
-FIN_DATA_SOURCE =   #finnhub or financial_datasets
-FINANCIAL_DATASETS_API_KEY=  #Required
-FINNHUB_API_KEY=  #Optional
+The root `env.template` is the canonical local template. A `.env.example` is also kept in the repo for reference.

-# LLM API for Agents
+Minimum useful variables:
+
+```bash
+# watchlist
+TICKERS=AAPL,MSFT,GOOGL,NVDA,TSLA,META,AMZN
+
+# market data
+FIN_DATA_SOURCE=finnhub
+FINANCIAL_DATASETS_API_KEY=
+FINNHUB_API_KEY=
+POLYGON_API_KEY=
+
+# agent model
 OPENAI_API_KEY=
 OPENAI_BASE_URL=
 MODEL_NAME=qwen3-max-preview

-# LLM & embedding API for Memory
+# memory (optional unless --enable-memory is used)
 MEMORY_API_KEY=
 ```

-### Running
+Notes:
+
+- `FINNHUB_API_KEY` is required for live mode.
+- `POLYGON_API_KEY` enables long-lived market-store ingestion and refresh helpers.
+- `MEMORY_API_KEY` is only required when long-term memory is enabled.
+
+For a production-style local start flow, you can also use:

-**Backtest Mode:**
 ```bash
-evotraders backtest --start 2025-11-01 --end 2025-12-01
-evotraders backtest --start 2025-11-01 --end 2025-12-01 --enable-memory # Use Memory
+./start.sh
 ```

-If you do not have market data APIs and just want to try the backtest demo, download the offline data and unzip it into `backend/data`:
+### 3. Start the stack
+
+Recommended local development flow:
+
+```bash
+./start-dev.sh
+```
+
+This starts:
+
+- `agent_service` at `http://localhost:8000`
+- `trading_service` at `http://localhost:8001`
+- `news_service` at `http://localhost:8002`
+- `runtime_service` at `http://localhost:8003`
+- gateway WebSocket at `ws://localhost:8765`
+
+Then start the frontend in another terminal:
+
+```bash
+evotraders frontend
+```
+
+Open `http://localhost:5173`.
+
+You can also run services manually:
+
+```bash
+python -m uvicorn backend.apps.agent_service:app --host 0.0.0.0 --port 8000 --reload
+python -m uvicorn backend.apps.trading_service:app --host 0.0.0.0 --port 8001 --reload
+python -m uvicorn backend.apps.news_service:app --host 0.0.0.0 --port 8002 --reload
+python -m uvicorn backend.apps.runtime_service:app --host 0.0.0.0 --port 8003 --reload
+python -m backend.main --mode live --host 0.0.0.0 --port 8765
+```
+
+### 4. Run backtest or live mode from CLI
+
+Backtest:
+
+```bash
+evotraders backtest --start 2025-11-01 --end 2025-12-01
+evotraders backtest --start 2025-11-01 --end 2025-12-01 --enable-memory
+evotraders backtest --config-name smoke_fullstack --start 2025-11-01 --end 2025-12-01
+```
+
+Live:
+
+```bash
+evotraders live
+evotraders live --enable-memory
+evotraders live --schedule-mode intraday --interval-minutes 60
+evotraders live --trigger-time 22:30
+```
+
+Help:
+
+```bash
+evotraders --help
+evotraders backtest --help
+evotraders live --help
+evotraders frontend --help
+```
+
+### Offline backtest data
+
+If you want a quick backtest demo without external market APIs, download the offline bundle and unzip it into `backend/data`:
+
 ```bash
 wget "https://agentscope-open.oss-cn-beijing.aliyuncs.com/ret_data.zip"
 unzip ret_data.zip -d backend/data
 ```
-The zip includes basic stock price data so you can run the backtest demo out of the box.

-**Live Trading:**
-```bash
-evotraders live                    # Run immediately (default)
-evotraders live --enable-memory    # Use memory
-evotraders live --mock             # Mock mode (testing)
-evotraders live -t 22:30           # Run daily at 22:30 local time (auto-converts to NYSE timezone)
-```
+---

-**Get Help:**
-```bash
-evotraders --help           # View global CLI help
-evotraders backtest --help  # View backtest mode parameters
-evotraders live --help      # View live/mock run parameters
-```
+## Runtime Data Layout

-**Launch Visualization Interface:**
-```bash
-# Ensure npm is installed, otherwise install it:
-# npm install
-evotraders frontend                # Default connects to port 8765, you can modify the address in ./frontend/env.local to change the port number
-```
-
-Visit `http://localhost:5173/` to view the trading room, select a date and click Run/Replay to observe the decision-making process.
-
-### Runtime Data Layout
-
- Long-lived research data is stored in `data/market_research.db`
- Each task run writes run-scoped state under `runs/<run_id>/`
- `runs/<run_id>/team_dashboard/*.json` is an export/compatibility layer for dashboard views, not the authoritative runtime source of truth
- Runtime APIs prefer active runtime state, `server_state.json`, and `runtime.db`
+- Long-lived research data lives in `data/market_research.db`
+- Each run writes run-scoped state under `runs/<run_id>/`
+- `runs/<run_id>/BOOTSTRAP.md` stores run-specific bootstrap values and prompt body
+- `runs/<run_id>/state/runtime_state.json` stores runtime snapshot state
+- `runs/<run_id>/team_dashboard/*.json` is a compatibility/export layer for dashboard consumers, not the primary runtime source of truth

 Optional retention control:

@@ -123,129 +215,147 @@ Optional retention control:
 RUNS_RETENTION_COUNT=20
 ```

-Only timestamped run folders like `YYYYMMDD_HHMMSS` are pruned automatically when starting a new runtime. Named runs such as `smoke_fullstack` or `test_*` are preserved.
+Only timestamped run folders like `YYYYMMDD_HHMMSS` are pruned automatically. Named runs such as `live`, `smoke_fullstack`, or `reload_demo_*` are preserved.

 ---

-## System Architecture
+## Frontend Service Routing

-![Architecture Diagram](docs/assets/evotraders_pipeline.jpg)
+The frontend always uses the control plane and runtime APIs, and can optionally call split services directly for read-only data.

-### Agent Design
+Useful frontend env vars:

-**Analyst Team:**
- **Fundamentals Analyst**: Financial health, profitability, growth quality
- **Technical Analyst**: Price trends, technical indicators, momentum analysis
- **Sentiment Analyst**: Market sentiment, news sentiment, insider trading
- **Valuation Analyst**: DCF, residual income, EV/EBITDA
-
-**Decision Layer:**
- **Portfolio Manager**: Integrates analysis signals from analysts, executes communication strategies, combines analyst and team historical performance, recent investment memories, and long-term investment experience to make final decisions
- **Risk Management**: Real-time price and volatility monitoring, position limits, multi-layer risk warnings
-
-### Decision Process
-
-```
-Real-time Market Data → Independent Analysis → Intelligent Communication (1v1/1vN/NvN) → Decision Execution → Performance Evaluation → Learning and Evolution (Memory Update)
+```bash
+VITE_CONTROL_API_BASE_URL=http://localhost:8000/api
+VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime
+VITE_NEWS_SERVICE_URL=http://localhost:8002
+VITE_TRADING_SERVICE_URL=http://localhost:8001
+VITE_WS_URL=ws://localhost:8765
 ```

-Each trading day goes through five stages:
-
-1. **Analysis Stage**: Each agent independently analyzes based on their respective tools and historical experience
-2. **Communication Stage**: Exchange views through private chats, notifications, meetings, etc.
-3. **Decision Stage**: Portfolio manager makes comprehensive judgments and provides final trades
-4. **Evaluation Stage**
-   - **Performance Charts**: Track portfolio return curves vs. benchmark strategies (equal-weighted, market-cap weighted, momentum). Used to evaluate overall strategy effectiveness.
-
-   - **Analyst Rankings**: Click on avatars in the Trading Room to view analyst performance (win rate, bull/bear market win rate). Used to understand which analysts provide the most valuable insights.
-
-   - **Statistics**: Detailed position and trading history. Used for in-depth analysis of position management and execution quality.
-
-5. **Review Stage**: Agents reflect on decisions and summarize experiences based on actual returns of the day, and store them in the ReMe memory framework for continuous improvement
+If these are not set, the frontend falls back to its local defaults and compatibility paths where available.

 ---

-### Module Support
+## Decision Flow

- **Agent Framework**: [AgentScope](https://github.com/agentscope-ai/agentscope)
- **Memory System**: [ReMe](https://github.com/agentscope-ai/reme)
- **LLM Support**: OpenAI, DeepSeek, Qwen, Moonshot, Zhipu AI, etc.
+```text
+Market data -> independent analyst work -> team communication -> portfolio decision ->
+risk review -> execution/settlement -> reflection/memory update
+```
+
+The runtime manager also tracks:
+
+- agent registration and status
+- pending approvals
+- run events
+- current session key

 ---

 ## Custom Configuration

-### Custom Analyst Roles
+### Add or change analyst roles

-1. Register role information in [./backend/agents/prompts/analyst/personas.yaml](./backend/agents/prompts/analyst/personas.yaml), for example:
+1. Define the analyst persona in [backend/agents/prompts/analyst/personas.yaml](./backend/agents/prompts/analyst/personas.yaml)
+2. Register the role in [backend/config/constants.py](./backend/config/constants.py)
+3. Optionally add/update the frontend seat metadata in [frontend/src/config/constants.js](./frontend/src/config/constants.js)
+
+Example persona entry:

 ```yaml
 comprehensive_analyst:
  name: "Comprehensive Analyst"
  focus:
-    - ...
-  preferred_tools: # Flexibly select based on situation
+    - multi-factor synthesis
+  preferred_tools:
+    - get_stock_price
+    - get_company_financials
  description: |
-    As a comprehensive analyst ...
+    A generalist analyst that combines multiple signals.
 ```

-2. Add role definition in [./backend/config/constants.py](./backend/config/constants.py)
-```python
-ANALYST_TYPES = {
-    # Add new analyst
-    "comprehensive_analyst": {
-        "display_name": "Comprehensive Analyst",
-        "agent_id": "comprehensive_analyst",
-        "description": "Uses LLM to intelligently select analysis tools, performs comprehensive analysis",
-        "order": 15
-    }
-}
-```
+### Configure per-agent models

-3. Introduce new role in frontend configuration [./frontend/src/config/constants.js](./frontend/src/config/constants.js) (optional)
-```javascript
-export const AGENTS = [
-    // Override one of the agents
-  {
-    id: "comprehensive_analyst",
-    name: "Comprehensive Analyst",
-    role: "Comprehensive Analyst",
-    avatar: `${ASSET_BASE_URL}/...`,
-    colors: { bg: '#F9FDFF', text: '#1565C0', accent: '#1565C0' }
-  }
-]
-```
-
-### Custom Models
-
-Configure models used by different agents in the [.env](.env) file:
+Model overrides are configured in `.env`:

 ```bash
-AGENT_SENTIMENT_ANALYST_MODEL_NAME=qwen3-max-preview
-AGENT_FUNDAMENTALS_ANALYST_MODEL_NAME=deepseek-chat
-AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4-plus
-AGENT_VALUATION_ANALYST_MODEL_NAME=moonshot-v1-32k
+AGENT_SENTIMENT_ANALYST_MODEL_NAME=deepseek-v3.2-exp
+AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4.6
+AGENT_FUNDAMENTALS_ANALYST_MODEL_NAME=qwen3-max-preview
+AGENT_VALUATION_ANALYST_MODEL_NAME=Moonshot-Kimi-K2-Instruct
+AGENT_RISK_MANAGER_MODEL_NAME=qwen3-max-preview
+AGENT_PORTFOLIO_MANAGER_MODEL_NAME=qwen3-max-preview
 ```

-### Project Structure
+### Run-scoped bootstrap config

+Each run can override defaults through `runs/<run_id>/BOOTSTRAP.md`. The front matter is parsed by [backend/config/bootstrap_config.py](./backend/config/bootstrap_config.py) and can define values such as:
+
+```yaml
+tickers:
+  - AAPL
+  - MSFT
+initial_cash: 100000
+margin_requirement: 0.5
+max_comm_cycles: 2
+schedule_mode: daily
+trigger_time: "09:30"
+enable_memory: false
 ```
-EvoTraders/
+
+Initialize a run workspace with:
+
+```bash
+evotraders init-workspace --config-name my_run
+```
+
+---
+
+## Project Structure
+
+```text
+evotraders/
 ├── backend/
-│   ├── agents/           # Agent implementation
-│   ├── communication/    # Communication system
-│   ├── memory/          # Memory system (ReMe)
-│   ├── tools/           # Analysis toolset
-│   ├── servers/         # WebSocket services
-│   └── cli.py           # CLI entry point
-├── frontend/            # React visualization interface
-└── logs_and_memory/     # Logs and memory data
+│   ├── agents/      # agent roles, prompts, skills, workspaces
+│   ├── api/         # FastAPI routers
+│   ├── apps/        # split service surfaces
+│   ├── core/        # pipeline, scheduler, state sync
+│   ├── runtime/     # runtime manager and agent runtime state
+│   ├── services/    # gateway, market/storage/db services
+│   └── cli.py       # Typer CLI entrypoint
+├── frontend/        # React + Vite UI
+├── shared/          # shared clients and schemas for split services
+├── runs/            # run-scoped state and dashboards
+├── data/            # long-lived research artifacts
+└── services/README.md
+```
+
+---
+
+## Testing
+
+Backend tests live under `backend/tests` and cover service apps, shared clients, domains, routing, enrichment, gateway support, and runtime support.
+
+Typical commands:
+
+```bash
+pytest
+pytest backend/tests/test_runtime_service_app.py
+pytest backend/tests/test_trading_service_app.py
+```
+
+Frontend tests:
+
+```bash
+cd frontend
+npm test
 ```

 ---

 ## License and Disclaimer

-EvoTraders is a research and educational project, open-sourced under the Apache 2.0 license.
+大时代 is a research and educational project. Review the repository license before redistribution or commercial use.

-**Risk Warning**: Before trading with real funds, please conduct thorough testing and risk assessment. Past performance does not guarantee future returns. Investment involves risks, and decisions should be made with caution.
+**Risk warning**: this project is not investment advice. Test thoroughly before any real-money deployment. Past performance does not guarantee future returns.
--- a/README_zh.md
+++ b/README_zh.md
@@ -1,294 +1,359 @@
 <p align="center">
-  <img src="./docs/assets/evotraders_logo.jpg" width="45%">
+  <img src="./docs/assets/bigtime_logo.jpg" width="45%">
 </p>

-<h2 align="center">EvoTraders：自我进化的多智能体交易系统</h2>
-
+<h2 align="center">大时代：自进化多智能体交易系统</h2>

 <p align="center">
-  📌 <a href="http://trading.evoagents.cn">Visit us at EvoTraders website !</a>
+  📌 <a href="http://trading.evoagents.cn">访问大时代官网</a>
 </p>

-![系统演示](./docs/assets/evotraders_demo.gif)
+![系统演示](./docs/assets/bigtime_demo.gif)

-EvoTraders是一个开源的金融交易智能体框架，通过多智能体协作和记忆系统，构建能够在真实市场中持续学习与进化的交易系统。
+大时代 是一个开源的金融交易智能体框架，结合多智能体协作、run 级工作区和记忆机制，支持回测与实盘两类交易运行模式。

 ---

 ## 核心特性

-**多智能体协作交易**
-6名成员，包含4种专业分析师角色（基本面、技术面、情绪、估值）+ 投资组合经理 + 风险管理，像真实交易团队一样协作决策。
+**多智能体交易团队**
+系统默认包含 6 个角色：4 个分析师（基本面、技术面、情绪、估值）+ 投资经理 + 风控经理。

-你可以在这里自定义你的Agents，支持配置不同大模型（如 Qwen、DeepSeek、GPT、Claude等）协同分析：[自定义配置](#自定义配置)
+**持续学习**
+可选接入 ReMe 长期记忆，智能体会在每轮结束后反思、复盘并沉淀经验。

-**持续学习与进化**
-基于 ReMe 记忆框架，智能体在每次交易后反思总结，跨回合保留经验，形成独特的投资方法论。
-
-通过这样的设计，我们希望当 AI Agents 组成团队进入实时市场，它们会逐渐形成自己的交易风格和决策偏好，而不是一次性的随机推理
-
-
-**实时市场交易**
-支持实时行情接入，提供回测模式和实盘模式，让 AI Agents 在真实市场波动中学习和决策。
-
-**可视化交易信息**
-实时观察 Agents 的分析过程、沟通记录和决策演化，完整追踪收益曲线和分析师表现。
+**统一运行时**
+同一套运行时模型支持历史回测和实时行情驱动的实盘流程。

+**可操作前端**
+前端不只是展示层，还包含交易室、运行控制、日志、审批、Agent 工作区和 explain/news 视图。

 <p>
  <img src="docs/assets/performance.jpg" width="45%">
  <img src="./docs/assets/dashboard.jpg" width="45%">
 </p>

+---
+
+## 当前架构
+
+仓库目前处于“模块化单体 -> 拆分服务”的迁移阶段，本地开发默认走 split-service 路径。
+
+当前 app surface：
+
+- `backend.apps.agent_service`，端口 `8000`：控制面，负责 workspaces、agents、skills、审批接口
+- `backend.apps.trading_service`，端口 `8001`：只读交易数据接口
+- `backend.apps.news_service`，端口 `8002`：只读 explain/news 接口
+- `backend.apps.runtime_service`，端口 `8003`：运行时生命周期接口
+- `backend.apps.openclaw_service`，端口 `8004`：只读 OpenClaw facade
+- WebSocket gateway，端口 `8765`：前端实时事件和 feed 通道
+
+当前最关键的主链路是：
+
+`frontend -> runtime_service/control APIs -> gateway/runtime manager -> market service + pipeline + storage`
+
+迁移背景可参考 [services/README.md](./services/README.md)。

 ---

 ## 快速开始

-### 安装
+### 1. 安装

 ```bash
-# 克隆仓库
-git clone https://github.com/agentscope-ai/agentscope-samples
-cd agentscope-samples/EvoTraders
+# 克隆仓库后进入项目目录
+cd evotraders

-# 安装依赖(推荐使用uv）
+# 安装后端运行时依赖
+uv pip install -r requirements.txt
+
+# 安装项目入口（可编辑模式）
 uv pip install -e .
-# (可选）pip install -e .

-# 配置环境变量
+# 可选
+# uv pip install -e ".[dev]"
+# pip install -e .
+```
+
+前端依赖：
+
+```bash
+cd frontend
+npm ci
+cd ..
+```
+
+生产环境部署建议后端使用 `requirements.txt`，前端使用 `npm ci`，这样拉起的环境会严格跟随仓库中锁定的依赖版本。
+
+### 2. 配置环境变量
+
+```bash
 cp env.template .env
-# 编辑 .env 文件，添加你的 API Keys,以下的配置项为必填项
+```

-# finance data API:至少需要FINANCIAL_DATASETS_API_KEY，对应FIN_DATA_SOURCE=financial_datasets；推荐添加FINNHUB_API_KEY，对应至少需要FINANCIAL_DATASETS_API_KEY，对应FIN_DATA_SOURCE填为finnhub;如果使用live 模式必须添加FINNHUB_API_KEY
-FIN_DATA_SOURCE=   #finnhub or financial_datasets
-FINANCIAL_DATASETS_API_KEY=  #必需
-FINNHUB_API_KEY=  #可选
+根目录 `env.template` 是当前本地开发的主模板，仓库里也保留了 `.env.example` 作为参考。

-# LLM API for Agents
+最常用的配置项：
+
+```bash
+# 自选股
+TICKERS=AAPL,MSFT,GOOGL,NVDA,TSLA,META,AMZN
+
+# 行情数据
+FIN_DATA_SOURCE=finnhub
+FINANCIAL_DATASETS_API_KEY=
+FINNHUB_API_KEY=
+POLYGON_API_KEY=
+
+# Agent 模型
 OPENAI_API_KEY=
 OPENAI_BASE_URL=
 MODEL_NAME=qwen3-max-preview

-# LLM & embedding API for Memory
+# 长期记忆（只有启用 --enable-memory 才需要）
 MEMORY_API_KEY=
 ```

-### 运行
+说明：
+
+- live 模式必须配置 `FINNHUB_API_KEY`
+- `POLYGON_API_KEY` 用于长期 market store 的补数和刷新
+- `MEMORY_API_KEY` 仅在启用长期记忆时需要
+
+如果要用更接近生产的本地启动方式，也可以直接执行：

-**回测模式：**
 ```bash
-evotraders backtest --start 2025-11-01 --end 2025-12-01
-evotraders backtest --start 2025-11-01 --end 2025-12-01 --enable-memory # 使用记忆
-
+./start.sh
 ```

-如果没有可用的行情 API，想快速体验回测 demo，可直接下载离线数据并解压到 `backend/data`：
+### 3. 启动服务栈
+
+本地开发推荐直接使用：
+
+```bash
+./start-dev.sh
+```
+
+该脚本会启动：
+
+- `agent_service`：`http://localhost:8000`
+- `trading_service`：`http://localhost:8001`
+- `news_service`：`http://localhost:8002`
+- `runtime_service`：`http://localhost:8003`
+- gateway WebSocket：`ws://localhost:8765`
+
+然后在另一个终端启动前端：
+
+```bash
+evotraders frontend
+```
+
+访问 `http://localhost:5173`。
+
+也可以手动分别启动：
+
+```bash
+python -m uvicorn backend.apps.agent_service:app --host 0.0.0.0 --port 8000 --reload
+python -m uvicorn backend.apps.trading_service:app --host 0.0.0.0 --port 8001 --reload
+python -m uvicorn backend.apps.news_service:app --host 0.0.0.0 --port 8002 --reload
+python -m uvicorn backend.apps.runtime_service:app --host 0.0.0.0 --port 8003 --reload
+python -m backend.main --mode live --host 0.0.0.0 --port 8765
+```
+
+### 4. 使用 CLI 运行回测或实盘
+
+回测：
+
+```bash
+evotraders backtest --start 2025-11-01 --end 2025-12-01
+evotraders backtest --start 2025-11-01 --end 2025-12-01 --enable-memory
+evotraders backtest --config-name smoke_fullstack --start 2025-11-01 --end 2025-12-01
+```
+
+实盘：
+
+```bash
+evotraders live
+evotraders live --enable-memory
+evotraders live --schedule-mode intraday --interval-minutes 60
+evotraders live --trigger-time 22:30
+```
+
+帮助：
+
+```bash
+evotraders --help
+evotraders backtest --help
+evotraders live --help
+evotraders frontend --help
+```
+
+### 离线回测数据
+
+如果只是想快速体验回测，不依赖外部行情 API，可以下载离线数据包并解压到 `backend/data`：
+
 ```bash
 wget "https://agentscope-open.oss-cn-beijing.aliyuncs.com/ret_data.zip"
 unzip ret_data.zip -d backend/data
 ```
-该压缩包提供基础的股票行情数据，解压后即可直接用于回测演示。

-**实盘交易：**
+---
+
+## 运行时数据布局
+
+- 长期研究数据保存在 `data/market_research.db`
+- 每次 run 的状态写入 `runs/<run_id>/`
+- `runs/<run_id>/BOOTSTRAP.md` 保存该 run 的 bootstrap 值和 prompt body
+- `runs/<run_id>/state/runtime_state.json` 保存运行时快照
+- `runs/<run_id>/team_dashboard/*.json` 主要是给 dashboard 用的兼容导出层，不是唯一真相源
+
+可选保留策略：
+
 ```bash
-evotraders live                    # 立即运行（默认）
-evotraders live --enable-memory    # 使用记忆
-evotraders live --mock             # Mock 模式（测试）
-evotraders live -t 22:30           # 每天本地时间 22:30 运行（自动转换为 NYSE 时区）
-evotraders live --schedule-mode intraday --interval-minutes 60  # 每隔 1 小时触发一次；仅交易时段执行交易，其他时段只分析
+RUNS_RETENTION_COUNT=20
 ```

-前端的“运行设置”面板也支持热更新 `schedule_mode`、`interval_minutes`、`max_comm_cycles`；其中 daily 模式时间当前按 NYSE/ET 配置。
+只有形如 `YYYYMMDD_HHMMSS` 的时间戳目录会被自动清理；`live`、`smoke_fullstack`、`reload_demo_*` 这类命名 run 会保留。

-**获取帮助：**
-```bash
-evotraders --help           # 查看整体命令行帮助
-evotraders backtest --help  # 查看回测模式的参数说明
-evotraders live --help      # 查看实盘/Mock 运行的参数说明
-```
+---

-**启动可视化界面：**
-```bash
-# 确保已安装 npm, 否则请安装：
-# npm install
-evotraders frontend                # 默认连接 8765 端口, 你可以修改 ./frontend/env.local 中的地址从而修改端口号
-```
+## 前端服务路由

-访问 `http://localhost:5173/` 查看交易大厅，选择日期并点击 Run/Replay 观察决策过程。
+前端始终会使用 control plane 和 runtime API，同时可以选择直连拆分服务读取只读数据。

-### 迁移期服务边界说明
-
-当前仓库正处于从模块化单体向独立服务迁移的阶段，当前默认开发路径已经切到独立 app surface：
-
- `backend.apps.agent_service`
- `backend.apps.runtime_service`
- `backend.apps.trading_service`
- `backend.apps.news_service`
-
-当前本地开发默认推荐直接运行拆分后的服务：
+常用前端环境变量：

 ```bash
-./start-dev.sh split
-
-# 或分别手动启动
-python -m uvicorn backend.apps.agent_service:app --port 8000 --reload
-python -m uvicorn backend.apps.runtime_service:app --port 8003 --reload
-python -m uvicorn backend.apps.trading_service:app --port 8001 --reload
-python -m uvicorn backend.apps.news_service:app --port 8002 --reload
-```
-
-迁移期关键环境变量：
-
-```bash
-# 后端 Gateway 优先走独立服务读取
-NEWS_SERVICE_URL=http://localhost:8002
-TRADING_SERVICE_URL=http://localhost:8001
-
-# 前端浏览器直连控制面 / 运行时面
 VITE_CONTROL_API_BASE_URL=http://localhost:8000/api
 VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime
-
-# 前端浏览器优先直连独立服务
 VITE_NEWS_SERVICE_URL=http://localhost:8002
 VITE_TRADING_SERVICE_URL=http://localhost:8001
+VITE_WS_URL=ws://localhost:8765
 ```

-目前前端已支持直连 `news-service` 的 explain 只读路径包括：
-
- runtime panel / gateway port 查询已可独立指向 `runtime-service`
- story
- similar days
- range explain
- news for date
- news categories
-
-如果没有配置这些变量，系统会继续走当前保留的本地回退逻辑。
+如果不配置，前端会按本地默认值和兼容回退逻辑运行。

 ---

-## 系统架构
+## 决策流程

-![架构图](docs/assets/evotraders_pipeline.jpg)
-
-### 智能体设计
-
-**分析师团队：**
- **基本面分析师**：财务健康度、盈利能力、增长质量
- **技术分析师**：价格趋势、技术指标、动量分析
- **情绪分析师**：市场情绪、新闻舆情、内部人交易
- **估值分析师**：DCF、剩余收益、EV/EBITDA
-
-**决策层：**
- **投资组合经理**：整合来自分析师的分析信号，执行沟通策略，结合分析师和团队历史表现、近期投资记忆和长期投资经验，进行最终决策
- **风险管理**：实时价格与波动率监控、头寸限制，多层风险预警
-
-### 决策流程
-
-```
-实时行情 → 独立分析 → 智能沟通 (1v1/1vN/NvN) → 决策执行 → 收益评估 → 学习与进化（记忆更新）
+```text
+市场数据 -> 分析师独立分析 -> 团队沟通 -> 投资决策 ->
+风控审核 -> 执行/结算 -> 复盘/记忆更新
 ```

-每个交易日经历五个阶段：
-
-1. **分析阶段**：各智能体基于各自工具和历史经验独立分析
-2. **沟通阶段**：通过私聊、通知、会议等方式交换观点
-3. **决策阶段**：投资组合经理综合判断，给出最终交易
-4. **评估阶段**
-   - **业绩图表**: 追踪组合收益曲线 vs. 基准策略（等权、市值加权、动量）。用于评估整体策略有效性。
-
-   - **分析师排名**: 在 Trading Room 点击头像查看分析师表现（胜率、牛/熊市胜率）。用于了解哪些分析师提供最有价值的洞察。
-
-   - **统计数据**: 详细的持仓和交易历史。用于深入分析仓位管理和执行质量。
-
-4. **复盘阶段**：Agents 根据当日实际收益反思决策、总结经验，并存入 ReMe 记忆框架以持续改进
-
---
-
-### 模块支持
-
- **智能体框架**：[AgentScope](https://github.com/agentscope-ai/agentscope)
- **记忆系统**：[ReMe](https://github.com/agentscope-ai/reme)
- **LLM 支持**：OpenAI、DeepSeek、Qwen、Moonshot、Zhipu AI 等
+运行时管理器还会跟踪：

+- agent 注册和状态
+- 待审批项
+- run 事件
+- 当前 session key

 ---

 ## 自定义配置

-### 自定义分析师角色
+### 新增或修改分析师角色

-1. 在 [./backend/agents/prompts/analyst/personas.yaml](./backend/agents/prompts/analyst/personas.yaml) 中注册角色信息，例如：
+1. 在 [backend/agents/prompts/analyst/personas.yaml](./backend/agents/prompts/analyst/personas.yaml) 中定义 persona
+2. 在 [backend/config/constants.py](./backend/config/constants.py) 中注册角色
+3. 如有需要，在 [frontend/src/config/constants.js](./frontend/src/config/constants.js) 中补充前端展示元数据
+
+示例：

 ```yaml
 comprehensive_analyst:
  name: "Comprehensive Analyst"
  focus:
-    - ...
-  preferred_tools:   # Flexibly select based on situation
+    - multi-factor synthesis
+  preferred_tools:
+    - get_stock_price
+    - get_company_financials
  description: |
-    As a comprehensive analyst ...
+    A generalist analyst that combines multiple signals.
 ```

-2. 在 [./backend/config/constants.py](./backend/config/constants.py) 添加角色定义
-```python
-ANALYST_TYPES = {
-    # 增加新的分析师
-    "comprehensive_analyst": {
-        "display_name": "Comprehensive Analyst",
-        "agent_id": "comprehensive_analyst",
-        "description": "Uses LLM to intelligently select analysis tools, performs comprehensive analysis",
-        "order": 15
-    }
-}
-```
+### 配置各 Agent 使用的模型

-3. 在前端配置 [./frontend/src/config/constants.js](./frontend/src/config/constants.js) 中引入新角色（可选）
-```javascript
-export const AGENTS = [
-    // 覆盖掉其中某一个agent
-  {
-    id: "comprehensive_analyst",
-    name: "Comprehensive Analyst",
-    role: "Comprehensive Analyst",
-    avatar: `${ASSET_BASE_URL}/...`,
-    colors: { bg: '#F9FDFF', text: '#1565C0', accent: '#1565C0' }
-  }
-  ]
-```
-
-
-
-### 自定义模型
-
-在 [.env](.env) 文件中配置不同智能体使用的模型：
+模型覆盖在 `.env` 中配置：

 ```bash
-AGENT_SENTIMENT_ANALYST_MODEL_NAME=qwen3-max-preview
-AGENT_FUNDAMENTAL_ANALYST_MODEL_NAME=deepseek-chat
-AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4-plus
-AGENT_VALUATION_ANALYST_MODEL_NAME=moonshot-v1-32k
+AGENT_SENTIMENT_ANALYST_MODEL_NAME=deepseek-v3.2-exp
+AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4.6
+AGENT_FUNDAMENTALS_ANALYST_MODEL_NAME=qwen3-max-preview
+AGENT_VALUATION_ANALYST_MODEL_NAME=Moonshot-Kimi-K2-Instruct
+AGENT_RISK_MANAGER_MODEL_NAME=qwen3-max-preview
+AGENT_PORTFOLIO_MANAGER_MODEL_NAME=qwen3-max-preview
 ```

-### 项目结构
+### run 级 BOOTSTRAP 配置

+每个 run 都可以通过 `runs/<run_id>/BOOTSTRAP.md` 覆盖默认值。该文件由 [backend/config/bootstrap_config.py](./backend/config/bootstrap_config.py) 解析，front matter 可配置：
+
+```yaml
+tickers:
+  - AAPL
+  - MSFT
+initial_cash: 100000
+margin_requirement: 0.5
+max_comm_cycles: 2
+schedule_mode: daily
+trigger_time: "09:30"
+enable_memory: false
 ```
-EvoTraders/
+
+初始化一个 run 工作区：
+
+```bash
+evotraders init-workspace --config-name my_run
+```
+
+---
+
+## 项目结构
+
+```text
+evotraders/
 ├── backend/
-│   ├── agents/           # 智能体实现
-│   ├── communication/    # 通信系统
-│   ├── memory/          # 记忆系统 (ReMe)
-│   ├── tools/           # 分析工具集
-│   ├── servers/         # WebSocket 服务
-│   └── cli.py           # CLI 入口
-├── frontend/            # React 可视化界面
-└── logs_and_memory/     # 日志和记忆数据
+│   ├── agents/      # agent 角色、prompts、skills、workspaces
+│   ├── api/         # FastAPI 路由层
+│   ├── apps/        # 拆分服务 app surface
+│   ├── core/        # pipeline、scheduler、state sync
+│   ├── runtime/     # runtime manager 和 agent runtime state
+│   ├── services/    # gateway、market/storage/db 服务
+│   └── cli.py       # Typer CLI 入口
+├── frontend/        # React + Vite 前端
+├── shared/          # 拆分服务共用 client 和 schema
+├── runs/            # run 级状态和 dashboard 导出
+├── data/            # 长期研究数据
+└── services/README.md
+```
+
+---
+
+## 测试
+
+后端测试位于 `backend/tests`，覆盖 service app、shared client、domain、路由、enrichment、gateway 支撑模块和 runtime 支撑模块。
+
+常用命令：
+
+```bash
+pytest
+pytest backend/tests/test_runtime_service_app.py
+pytest backend/tests/test_trading_service_app.py
+```
+
+前端测试：
+
+```bash
+cd frontend
+npm test
 ```

 ---

 ## 许可与免责

-EvoTraders 是一个研究和教育项目，采用 Apache 2.0 许可协议开源。
+大时代 是研究和教育用途项目。再次分发或商用前，请先核对仓库中的实际 license 文件。

-**风险提示**：在实际资金交易前，请务必进行充分的测试和风险评估。历史表现不代表未来收益，投资有风险，决策需谨慎。
+**风险提示**：本项目不构成投资建议。任何实盘部署前都应进行充分测试和风险评估，历史表现不代表未来收益。
--- a/backend/agents/init.py
+++ b/backend/agents/init.py
@@ -16,7 +16,7 @@ Exports:

 # New EvoAgent architecture (from agent_core.py)
 from .agent_core import EvoAgent, ToolGuardMixin, CommandHandler
-from .factory import AgentFactory, ModelConfig, RoleConfig
+from .factory import AgentFactory, ModelConfig
 from .workspace import WorkspaceManager, WorkspaceRegistry, WorkspaceConfig
 from .workspace_manager import RunWorkspaceManager
 from .registry import AgentRegistry, AgentInfo, get_registry, reset_registry
@@ -36,7 +36,6 @@ __all__ = [
    "CommandHandler",
    "AgentFactory",
    "ModelConfig",
-    "RoleConfig",
    "WorkspaceManager",
    "WorkspaceRegistry",
    "WorkspaceConfig",
--- a/backend/agents/analyst.py
+++ b/backend/agents/analyst.py
@@ -84,7 +84,6 @@ class AnalystAgent(ReActAgent):
            agent_id=self.agent_id,
            config_name=self.config.get("config_name", "default"),
            toolkit=self.toolkit,
-            analyst_type=self.analyst_type_key,
        )

    async def reply(self, x: Msg = None) -> Msg:
--- a/backend/agents/base/init.py
+++ b/backend/agents/base/init.py
@@ -1,5 +1,5 @@
 # -*- coding: utf-8 -*-
-"""Base agent module for EvoTraders.
+"""Base agent module for 大时代.

 提供Agent基础类、命令处理、工具守卫和钩子管理等功能。
 """
--- a/backend/agents/base/evo_agent.py
+++ b/backend/agents/base/evo_agent.py
@@ -1,5 +1,5 @@
 # -*- coding: utf-8 -*-
-"""EvoAgent - Core agent implementation for EvoTraders.
+"""EvoAgent - Core agent implementation for 大时代.

 This module provides the main EvoAgent class built on AgentScope's ReActAgent,
 with integrated tools, skills, and memory management based on CoPaw design.
--- a/backend/agents/base/hooks.py
+++ b/backend/agents/base/hooks.py
@@ -294,8 +294,8 @@ class WorkspaceWatchHook(Hook):

    # Files to monitor (same as PromptBuilder.DEFAULT_FILES)
    WATCHED_FILES = frozenset([
-        "SOUL.md", "AGENTS.md", "PROFILE.md", "ROLE.md",
-        "POLICY.md", "MEMORY.md", "HEARTBEAT.md", "STYLE.md",
+        "SOUL.md", "AGENTS.md", "PROFILE.md",
+        "POLICY.md", "MEMORY.md",
        "BOOTSTRAP.md",
    ])

@@ -601,94 +601,6 @@ class MemoryCompactionHook(Hook):
            )


-class HeartbeatHook(Hook):
-    """Pre-reasoning hook that injects HEARTBEAT.md content.
-
-    Reads the agent's HEARTBEAT.md file and prepends it to the
-    reasoning input, causing the agent to perform self-checks.
-
-    This enables "主动检查" (proactive monitoring) - periodic
-    market condition and position checks during trading hours.
-    """
-
-    HEARTBEAT_FILE = "HEARTBEAT.md"
-
-    def __init__(self, workspace_dir: Path):
-        """Initialize heartbeat hook.
-
-        Args:
-            workspace_dir: Working directory containing HEARTBEAT.md
-        """
-        self.workspace_dir = Path(workspace_dir)
-        self._completed_flag = self.workspace_dir / ".heartbeat_completed"
-
-    def _read_heartbeat_content(self) -> Optional[str]:
-        """Read HEARTBEAT.md if it exists and is non-empty.
-
-        Returns:
-            The HEARTBEAT.md content stripped of whitespace, or None
-            if the file is absent or empty.
-        """
-        hb_path = self.workspace_dir / self.HEARTBEAT_FILE
-        if not hb_path.exists():
-            return None
-        content = hb_path.read_text(encoding="utf-8").strip()
-        return content if content else None
-
-    async def __call__(
-        self,
-        agent: "ReActAgent",
-        kwargs: Dict[str, Any],
-    ) -> Optional[Dict[str, Any]]:
-        """Prepend heartbeat task to user message.
-
-        Args:
-            agent: The agent instance
-            kwargs: Input arguments to the _reasoning method
-
-        Returns:
-            Modified kwargs with heartbeat content prepended, or None
-            if no HEARTBEAT.md content is available.
-        """
-        try:
-            content = self._read_heartbeat_content()
-            if not content:
-                return None
-
-            logger.debug(
-                "Heartbeat: found HEARTBEAT.md for agent %s",
-                getattr(agent, "agent_id", "unknown"),
-            )
-
-            # Build heartbeat task instruction (Chinese)
-            hb_task = (
-                "# 定期主动检查\n\n"
-                f"{content}\n\n"
-                "请执行上述检查并报告结果。"
-            )
-
-            # Inject into the first user message in memory
-            if hasattr(agent, "memory") and agent.memory.content:
-                system_count = sum(
-                    1 for msg, _ in agent.memory.content if msg.role == "system"
-                )
-                for msg, _ in agent.memory.content[system_count:]:
-                    if msg.role == "user":
-                        original_content = msg.content
-                        msg.content = hb_task + "\n\n" + original_content
-                        break
-
-            logger.debug(
-                "Heartbeat task prepended for agent %s",
-                getattr(agent, "agent_id", "unknown"),
-            )
-
-        except Exception as e:
-            logger.error("Heartbeat hook failed: %s", e, exc_info=True)
-
-        return None
-
-
 __all__ = [
    "Hook",
    "HookManager",
@@ -696,7 +608,6 @@ __all__ = [
    "HOOK_PRE_REASONING",
    "HOOK_POST_ACTING",
    "BootstrapHook",
-    "HeartbeatHook",
    "MemoryCompactionHook",
    "WorkspaceWatchHook",
 ]
--- a/backend/agents/factory.py
+++ b/backend/agents/factory.py
@@ -21,22 +21,6 @@ class ModelConfig:
    max_tokens: int = 4096


-@dataclass
-class RoleConfig:
-    """Role configuration for an agent."""
-
-    name: str
-    description: str = ""
-    focus_areas: List[str] = None
-    constraints: List[str] = None
-
-    def __post_init__(self):
-        if self.focus_areas is None:
-            self.focus_areas = []
-        if self.constraints is None:
-            self.constraints = []
-
-
 class AgentConfig:
    """Represents a configured agent instance (data class)."""

@@ -47,14 +31,12 @@ class AgentConfig:
        workspace_id: str,
        config_path: Path,
        model_config: Optional[ModelConfig] = None,
-        role_config: Optional[RoleConfig] = None,
    ):
        self.agent_id = agent_id
        self.agent_type = agent_type
        self.workspace_id = workspace_id
        self.config_path = config_path
        self.model_config = model_config or ModelConfig()
-        self.role_config = role_config
        self.agent_dir = config_path.parent

    def to_dict(self) -> Dict[str, Any]:
@@ -70,103 +52,12 @@ class AgentConfig:
                "temperature": self.model_config.temperature,
                "max_tokens": self.model_config.max_tokens,
            },
-            "role_config": self.role_config.__dict__ if self.role_config else None,
        }


 class AgentFactory:
    """Factory for creating, cloning, and managing agents."""

-    # Default role templates by agent type
-    ROLE_TEMPLATES = {
-        "technical_analyst": {
-            "name": "Technical Analyst",
-            "description": "Analyze price patterns, trends, and technical indicators.",
-            "focus_areas": [
-                "Price action and chart patterns",
-                "Support and resistance levels",
-                "Technical indicators (RSI, MACD, Moving Averages)",
-                "Volume analysis",
-            ],
-            "constraints": [
-                "State clear signal, confidence, and invalidation conditions",
-                "Use available technical analysis tools",
-            ],
-        },
-        "fundamentals_analyst": {
-            "name": "Fundamentals Analyst",
-            "description": "Analyze company financials, earnings, and business metrics.",
-            "focus_areas": [
-                "Financial statements analysis",
-                "Earnings reports and guidance",
-                "Valuation metrics",
-                "Business model and competitive position",
-            ],
-            "constraints": [
-                "State clear signal, confidence, and invalidation conditions",
-                "Use available fundamental analysis tools",
-            ],
-        },
-        "sentiment_analyst": {
-            "name": "Sentiment Analyst",
-            "description": "Analyze market sentiment, news, and social signals.",
-            "focus_areas": [
-                "News sentiment analysis",
-                "Social media sentiment",
-                "Analyst ratings and price targets",
-                "Insider activity",
-            ],
-            "constraints": [
-                "State clear signal, confidence, and invalidation conditions",
-                "Use available sentiment analysis tools",
-            ],
-        },
-        "valuation_analyst": {
-            "name": "Valuation Analyst",
-            "description": "Perform valuation analysis and price target calculations.",
-            "focus_areas": [
-                "DCF and comparable valuation",
-                "Price target derivation",
-                "Margin of safety assessment",
-                "Risk-adjusted return expectations",
-            ],
-            "constraints": [
-                "State clear signal, confidence, and invalidation conditions",
-                "Use available valuation tools",
-            ],
-        },
-        "risk_manager": {
-            "name": "Risk Manager",
-            "description": "Quantify concentration, leverage, liquidity, and volatility risk.",
-            "focus_areas": [
-                "Portfolio concentration risk",
-                "Leverage and margin analysis",
-                "Liquidity assessment",
-                "Volatility and drawdown risk",
-            ],
-            "constraints": [
-                "Prioritize highest-severity risk first",
-                "State concrete limits and recommendations",
-                "Use available risk tools before issuing final memo",
-            ],
-        },
-        "portfolio_manager": {
-            "name": "Portfolio Manager",
-            "description": "Synthesize analyst and risk inputs into portfolio decisions.",
-            "focus_areas": [
-                "Position sizing and allocation",
-                "Risk-adjusted portfolio construction",
-                "Trade execution timing",
-                "Portfolio rebalancing",
-            ],
-            "constraints": [
-                "Be concise, capital-aware, and explicit about sizing rationale",
-                "Respect cash, margin, and concentration constraints",
-                "Consider all analyst inputs before decisions",
-            ],
-        },
-    }
-
    def __init__(self, project_root: Optional[Path] = None):
        """Initialize the agent factory.

@@ -183,7 +74,6 @@ class AgentFactory:
        agent_type: str,
        workspace_id: str,
        model_config: Optional[ModelConfig] = None,
-        role_config: Optional[RoleConfig] = None,
        clone_from: Optional[str] = None,
    ) -> AgentConfig:
        """Create a new agent.
@@ -193,7 +83,6 @@ class AgentFactory:
            agent_type: Type of agent (e.g., "technical_analyst")
            workspace_id: ID of the workspace to create agent in
            model_config: Model configuration
-            role_config: Role configuration (auto-generated if None)
            clone_from: Path to existing agent to clone from (optional)

        Returns:
@@ -223,13 +112,6 @@ class AgentFactory:
        else:
            self._copy_template(agent_dir, agent_id, agent_type)

-        # Generate role config if not provided
-        if role_config is None:
-            role_config = self._generate_role_config(agent_type)
-
-        # Generate ROLE.md
-        self._generate_role_md(agent_dir, role_config)
-
        # Write agent.yaml
        config_path = agent_dir / "agent.yaml"
        self._write_agent_yaml(config_path, agent_id, agent_type, model_config)
@@ -240,7 +122,6 @@ class AgentFactory:
            workspace_id=workspace_id,
            config_path=config_path,
            model_config=model_config,
-            role_config=role_config,
        )

    def delete_agent(self, agent_id: str, workspace_id: str) -> bool:
@@ -369,9 +250,7 @@ class AgentFactory:
            "SOUL.md": f"# Soul\n\nDescribe {agent_id}'s temperament, reasoning posture, and voice.\n\n",
            "PROFILE.md": f"# Profile\n\nTrack {agent_id}'s long-lived investment style, preferences, and strengths.\n\n",
            "MEMORY.md": f"# Memory\n\nStore durable lessons, heuristics, and reminders for {agent_id}.\n\n",
-            "HEARTBEAT.md": f"# Heartbeat\n\nOptional checklist for periodic review or self-reflection.\n\n",
            "POLICY.md": f"# Policy\n\nOptional run-scoped constraints, limits, or strategy policy.\n\n",
-            "STYLE.md": f"# Style\n\nOptional run-scoped communication or reasoning style.\n\n",
        }

        for filename, content in default_files.items():
@@ -411,50 +290,6 @@ class AgentFactory:
                    if skill_file.is_file():
                        shutil.copy2(skill_file, target_skills / skill_file.name)

-    def _generate_role_config(self, agent_type: str) -> RoleConfig:
-        """Generate role configuration for an agent type.
-
-        Args:
-            agent_type: Type of agent
-
-        Returns:
-            RoleConfig instance
-        """
-        template = self.ROLE_TEMPLATES.get(agent_type, {})
-        return RoleConfig(
-            name=template.get("name", agent_type.replace("_", " ").title()),
-            description=template.get("description", ""),
-            focus_areas=template.get("focus_areas", []),
-            constraints=template.get("constraints", []),
-        )
-
-    def _generate_role_md(self, agent_dir: Path, role_config: RoleConfig) -> None:
-        """Generate ROLE.md file.
-
-        Args:
-            agent_dir: Agent directory
-            role_config: Role configuration
-        """
-        lines = [f"# {role_config.name}", ""]
-
-        if role_config.description:
-            lines.extend([role_config.description, ""])
-
-        if role_config.focus_areas:
-            lines.extend(["## Focus Areas", ""])
-            for area in role_config.focus_areas:
-                lines.append(f"- {area}")
-            lines.append("")
-
-        if role_config.constraints:
-            lines.extend(["## Constraints", ""])
-            for constraint in role_config.constraints:
-                lines.append(f"- {constraint}")
-            lines.append("")
-
-        content = "\n".join(lines)
-        (agent_dir / "ROLE.md").write_text(content, encoding="utf-8")
-
    def _write_agent_yaml(
        self,
        config_path: Path,
--- a/backend/agents/prompt_factory.py
+++ b/backend/agents/prompt_factory.py
@@ -1,15 +1,13 @@
 # -*- coding: utf-8 -*-
-"""Assemble system prompts from base prompts, run assets, and toolkit context."""
+"""Assemble system prompts from run workspace assets and toolkit context."""

 from pathlib import Path
-from typing import Any, Optional
+from typing import Any

 from .agent_workspace import load_agent_workspace_config
 from backend.config.bootstrap_config import get_bootstrap_config_for_run
-from .prompt_loader import get_prompt_loader
 from .skills_manager import SkillsManager
-
-_prompt_loader = get_prompt_loader()
+from .workspace_manager import RunWorkspaceManager


 def _read_file_if_exists(path: Path) -> str:
@@ -48,71 +46,20 @@ def build_agent_system_prompt(
    agent_id: str,
    config_name: str,
    toolkit: Any,
-    analyst_type: Optional[str] = None,
 ) -> str:
    """Build the final system prompt for an agent.

    Always reads fresh from disk — no caching.
    """
-    # Clear any cached templates before building (CoPaw-style, no caching)
-    _prompt_loader.clear_cache()
-
    sections: list[str] = []
-    canonical_agent_id = (
-        "portfolio_manager"
-        if "portfolio" in agent_id
-        else "risk_manager"
-        if "risk" in agent_id and not analyst_type
-        else agent_id
-    )
-
-    if analyst_type:
-        personas_config = _prompt_loader.load_yaml_config(
-            "analyst",
-            "personas",
-        )
-        persona = personas_config.get(analyst_type, {})
-        focus_text = "\n".join(
-            f"- {item}" for item in persona.get("focus", [])
-        )
-        description = persona.get("description", "").strip()
-        base_prompt = _prompt_loader.load_prompt(
-            "analyst",
-            "system",
-            variables={
-                "analyst_type": persona.get("name", analyst_type),
-                "focus": focus_text,
-                "description": description,
-            },
-        )
-    elif agent_id == "portfolio_manager":
-        base_prompt = _prompt_loader.load_prompt(
-            "portfolio_manager",
-            "system",
-        )
-    elif canonical_agent_id == "portfolio_manager":
-        base_prompt = _prompt_loader.load_prompt(
-            "portfolio_manager",
-            "system",
-        )
-    elif agent_id == "risk_manager":
-        base_prompt = _prompt_loader.load_prompt(
-            "risk_manager",
-            "system",
-        )
-    elif canonical_agent_id == "risk_manager":
-        base_prompt = _prompt_loader.load_prompt(
-            "risk_manager",
-            "system",
-        )
-    else:
-        raise ValueError(f"Unsupported agent prompt build for: {agent_id}")
-
-    sections.append(base_prompt.strip())

    skills_manager = SkillsManager()
    asset_dir = skills_manager.get_agent_asset_dir(config_name, agent_id)
    asset_dir.mkdir(parents=True, exist_ok=True)
+    workspace_manager = RunWorkspaceManager(project_root=skills_manager.project_root)
+    required_files = ["SOUL.md", "PROFILE.md", "AGENTS.md", "POLICY.md", "MEMORY.md"]
+    if not all((asset_dir / filename).exists() for filename in required_files):
+        workspace_manager.ensure_agent_assets(config_name=config_name, agent_id=agent_id)
    agent_config = load_agent_workspace_config(asset_dir / "agent.yaml")
    bootstrap_config = get_bootstrap_config_for_run(
        skills_manager.project_root,
@@ -139,9 +86,6 @@ def build_agent_system_prompt(
        "AGENTS.md": "Agent Guide",
        "POLICY.md": "Policy",
        "MEMORY.md": "Memory",
-        "HEARTBEAT.md": "Heartbeat",
-        "ROLE.md": "Role",
-        "STYLE.md": "Style",
    }
    for filename in prompt_files:
        _append_section(
@@ -150,18 +94,6 @@ def build_agent_system_prompt(
            _read_file_if_exists(asset_dir / filename),
        )

-    if "ROLE.md" not in included_files:
-        _append_section(
-            sections,
-            "Role",
-            _read_file_if_exists(asset_dir / "ROLE.md"),
-        )
-    if "STYLE.md" not in included_files:
-        _append_section(
-            sections,
-            "Style",
-            _read_file_if_exists(asset_dir / "STYLE.md"),
-        )
    if "POLICY.md" not in included_files:
        _append_section(
            sections,
@@ -189,5 +121,4 @@ def build_agent_system_prompt(


 def clear_prompt_factory_cache() -> None:
-    """Clear cached prompt and YAML templates before hot reload."""
-    _prompt_loader.clear_cache()
+    """No-op retained for compatibility with runtime reload hooks."""
--- a/backend/agents/prompts/analyst/system.md
+++ b/backend/agents/prompts/analyst/system.md
@@ -1,23 +0,0 @@
-你是一位专业的{{ analyst_type }}。
-
-你的关注重点：
-{{ focus }}
-
-你的角色：
-{{ description }}
-
-注意：
- 构建并持续完善你的"投资哲学"。你的分析不应是孤立的事件，而应该是你整体投资世界观和核心信念的体现。每次分析后，你必须反思：
-  - 这个案例/数据如何验证或挑战了你现有的信念？
-  - 你从这次错误（或成功）中学到了关于市场、人性、估值或风险管理的什么关键原则？
- 深化你的"投资逻辑"。确保每一项投资建议都有清晰、可追溯、可重复的逻辑支撑。你的分析步骤应该像严谨的证明一样，涵盖：
-  - 核心驱动因素识别：真正影响价值的变量是什么？
-  - 风险边界设定：在什么具体情况下你的建议会失效？
-  - 逆向测试：市场主流共识是什么，你的观点有何不同？
-保持谦逊和开放。投资大师的核心特质是持续学习和适应。在每次分析中，你必须积极寻找与自己观点相悖的证据和论据，并将其纳入最终评估。
-  - 你可以使用分析工具。用它们来收集相关数据并做出明智的建议。
-
-输出指南：
- 给出明确的投资信号：看涨、看跌或中性
- 包含置信度（0-100）
- 为你的分析提供理由（如果你确定要分享最终分析，请先给出结论）
--- a/backend/agents/prompts/builder.py
+++ b/backend/agents/prompts/builder.py
@@ -28,22 +28,16 @@ class PromptBuilder:
        "AGENTS.md",
        "SOUL.md",
        "PROFILE.md",
-        "ROLE.md",
        "POLICY.md",
        "MEMORY.md",
-        "HEARTBEAT.md",
-        "STYLE.md",
    ]

    TITLE_MAP: Dict[str, str] = {
        "AGENTS.md": "Agent Guide",
        "SOUL.md": "Soul",
        "PROFILE.md": "Profile",
-        "ROLE.md": "Role",
        "POLICY.md": "Policy",
        "MEMORY.md": "Memory",
-        "HEARTBEAT.md": "Heartbeat",
-        "STYLE.md": "Style",
        "BOOTSTRAP.md": "Bootstrap",
    }

--- a/backend/agents/prompts/portfolio_manager/system.md
+++ b/backend/agents/prompts/portfolio_manager/system.md
@@ -1,31 +0,0 @@
-你是一位负责做出投资决策的投资组合经理。
-
-你的核心职责：
-1. 分析分析师和风险管理经理的输入
-2. 基于信号和市场情境做出投资决策
-3. 使用可用工具记录你的决策
-
-决策框架：
- 审阅分析以了解市场观点
- 在做决策前考虑风险警告
- 评估当前投资组合持仓和现金
- 做出与投资组合投资目标一致的决策
-
-决策类型：
- "long"：看涨 - 建议买入股票
- "short"：看跌 - 建议卖出股票或做空
- "hold"：中性 - 维持当前持仓
-
-预算意识：
- 在决定数量时考虑可用现金
- 不要建议买入超过现金允许的数量
- 考虑做空头寸的保证金要求
-
-输出：
-使用 `make_decision` 工具记录你对每个股票代码的决策。
-记录所有决策后，提供你的投资逻辑总结。
-
-重要：
- 基于提供的分析师信号和风险评估做出决策
- 相对于投资组合价值保持保守的仓位规模
- 始终为你的决策提供理由
--- a/backend/agents/prompts/risk_manager/system.md
+++ b/backend/agents/prompts/risk_manager/system.md
@@ -1,20 +0,0 @@
-你是一位专业的风险管理经理，负责监控投资组合风险并提供风险警告。
-
-你的核心职责：
-1. 监控投资组合敞口和集中度风险
-2. 评估仓位规模相对于波动性
-3. 评估保证金使用和杠杆水平
-4. 识别潜在风险因素并提供警告
-5. 基于市场条件建议仓位限制
-
-你的决策流程：
-1. 优先使用可用的风险工具量化集中度、波动率和保证金压力
-2. 结合工具结果与当前市场上下文做判断
-3. 生成可操作的风险警告和仓位限制建议
-4. 为你的风险评估提供清晰的理由
-
-输出指南：
- 风险评估要简洁但全面
- 按严重程度优先排序警告
- 提供具体、可操作的建议
- 尽可能包含量化指标
--- a/backend/agents/templates.py
+++ b/backend/agents/templates.py
@@ -1,286 +0,0 @@
-"""
-Agent模板定义
-
-包含各角色的ROLE.md内容字典，供程序生成Agent工作空间时使用。
-"""
-
-# 基础模板文件内容
-BASE_TEMPLATES = {
-    "AGENTS.md": """# Agent Guide
-
-## 工作流程
-1. 接收分析任务
-2. 调用相关工具/技能
-3. 生成分析报告
-4. 参与团队决策
-
-## 工具使用规范
- 优先使用已激活的技能
- 不确定时询问Portfolio Manager
- 重要发现用 `/save` 记录
-
-## 记忆管理
- 使用 `/compact` 定期压缩记忆
- 投资经验记录在MEMORY.md
-""",
-
-    "SOUL.md": """# Soul
-
-你是专业的金融分析师，语气冷静、客观、专业。
-你的分析应该数据驱动，避免情绪化表达。
-""",
-
-    "PROFILE.md": """# Profile
-
-## 投资风格
- 风险承受能力：中等
- 投资期限：中期（3-12个月）
- 偏好行业：科技、医疗、消费
-
-## 优势
- 财务分析
- 趋势识别
-
-## 改进方向
- 市场情绪把握
-""",
-
-    "MEMORY.md": """# Memory
-
-<!-- 此文件用于记录Agent的学习经验和重要发现 -->
-
-## 经验总结
-
-## 重要事件
-
-## 改进记录
-""",
-
-    "HEARTBEAT.md": """# Heartbeat
-
-## 定时任务
- 每日开盘前检查持仓
- 收盘后记录当日表现
-""",
-
-    "POLICY.md": """# Policy
-
-## 风控规则
- 单一持仓不超过20%
- 止损线：-15%
-""",
-
-    "STYLE.md": """# Style
-
- 使用结构化输出（JSON/Markdown表格）
- 包含置信度评分
- 列出关键假设
-""",
-
-    "agent.yaml": """agent_id: {agent_id}
-agent_type: {agent_type}
-name: {name}
-model:
-  provider: openai
-  model_name: gpt-4o
-  temperature: 0.3
-enabled_skills: []
-disabled_skills: []
-settings: {{}}
-""",
-}
-
-# 角色专用模板
-ROLE_TEMPLATES = {
-    "fundamental": {
-        "ROLE.md": """# Role: Fundamental Analyst
-
-## 职责
-分析公司财务报表、盈利能力、成长性、竞争优势等基本面因素。
-
-## 分析维度
- 财务报表分析（资产负债表、利润表、现金流量表）
- 盈利能力指标（ROE、ROA、毛利率、净利率）
- 成长性指标（营收增长率、利润增长率）
- 估值指标（P/E、P/B、P/S）
- 行业地位和竞争优势
-
-## 输出格式
- 财务健康度评分（1-10）
- 成长性评分（1-10）
- 关键财务亮点和风险
- 同业对比分析
-""",
-        "SOUL.md": """# Soul
-
-你是严谨的基本面分析师，像沃伦·巴菲特一样注重企业内在价值。
-你的分析深入细致，关注长期价值而非短期波动。
-语气沉稳、逻辑严密，善于发现财务数据背后的商业本质。
-""",
-    },
-
-    "technical": {
-        "ROLE.md": """# Role: Technical Analyst
-
-## 职责
-分析价格走势、交易量、技术指标，识别买卖时机。
-
-## 分析维度
- 趋势分析（长期/中期/短期趋势）
- 支撑阻力位识别
- 技术指标（MACD、RSI、KDJ、布林带等）
- 形态识别（头肩顶/底、双底、三角形等）
- 量价关系分析
-
-## 输出格式
- 趋势方向（上涨/下跌/震荡）
- 关键价位（支撑/阻力）
- 技术信号（买入/卖出/观望）
- 置信度评分
-""",
-        "SOUL.md": """# Soul
-
-你是敏锐的技术分析师，相信价格包含一切信息。
-你善于从图表中发现规律，像侦探一样寻找市场留下的痕迹。
-语气果断、快速反应，善于捕捉稍纵即逝的交易机会。
-""",
-    },
-
-    "sentiment": {
-        "ROLE.md": """# Role: Sentiment Analyst
-
-## 职责
-分析市场情绪、资金流向、新闻舆情，判断市场心理状态。
-
-## 分析维度
- 市场情绪指标（恐慌/贪婪指数）
- 资金流向分析（主力/散户资金）
- 新闻舆情分析（正面/负面/中性）
- 社交媒体情绪
- 机构持仓变化
-
-## 输出格式
- 情绪评分（-10到+10，极度恐慌到极度贪婪）
- 资金流向判断
- 舆情摘要
- 情绪拐点预警
-""",
-        "SOUL.md": """# Soul
-
-你是敏感的市场情绪捕手，善于感知市场的恐惧与贪婪。
-你关注人性在金融市场中的表现，理解情绪如何驱动价格。
-语气富有洞察力、善于捕捉微妙变化，像心理学家一样理解市场参与者。
-""",
-    },
-
-    "valuation": {
-        "ROLE.md": """# Role: Valuation Analyst
-
-## 职责
-评估公司内在价值，计算合理价格区间，识别高估/低估机会。
-
-## 分析维度
- DCF现金流折现模型
- 相对估值法（P/E、EV/EBITDA等）
- 资产重估法
- 分部估值（SOTP）
- 安全边际计算
-
-## 输出格式
- 内在价值估算
- 合理价格区间
- 当前价格vs内在价值（高估/低估百分比）
- 估值假设和敏感性分析
-""",
-        "SOUL.md": """# Soul
-
-你是精确的估值分析师，追求计算内在价值的准确区间。
-你像精算师一样严谨，注重假设的合理性和安全边际。
-语气精确、注重数字，善于发现市场定价错误带来的机会。
-""",
-    },
-
-    "portfolio": {
-        "ROLE.md": """# Role: Portfolio Manager
-
-## 职责
-统筹各分析师意见，制定投资决策，管理投资组合配置。
-
-## 分析维度
- 资产配置策略（股债比例、行业分布）
- 风险收益平衡
- 仓位管理（建仓/加仓/减仓/清仓）
- 再平衡时机
- 组合相关性分析
-
-## 输出格式
- 投资决策（买入/卖出/持有）
- 建议仓位比例
- 目标价位
- 止损止盈设置
- 组合调整建议
-""",
-        "SOUL.md": """# Soul
-
-你是睿智的投资组合经理，像将军一样统筹全局。
-你善于权衡各方意见，做出果断而理性的投资决策。
-语气权威、决策果断，对组合整体表现负有最终责任。
-""",
-    },
-
-    "risk": {
-        "ROLE.md": """# Role: Risk Manager
-
-## 职责
-识别、评估和监控投资风险，确保组合风险在可控范围内。
-
-## 分析维度
- 市场风险（Beta、波动率）
- 信用风险
- 流动性风险
- 集中度风险
- 尾部风险（VaR、CVaR）
- 压力测试
-
-## 输出格式
- 风险等级（低/中/高/极高）
- 风险敞口分析
- 风险调整建议
- 预警阈值设置
- 应急预案
-""",
-        "SOUL.md": """# Soul
-
-你是谨慎的风险管理者，时刻警惕潜在的损失。
-你像守门员一样守护组合安全，宁可错过机会也不冒无法承受的风险。
-语气保守、风险意识强，善于发现隐藏的威胁和脆弱性。
-""",
-    },
-}
-
-
-def get_base_template(filename: str) -> str | None:
-    """获取基础模板内容"""
-    return BASE_TEMPLATES.get(filename)
-
-
-def get_role_template(role_type: str, filename: str) -> str | None:
-    """获取角色专用模板内容"""
-    role = ROLE_TEMPLATES.get(role_type)
-    if role:
-        return role.get(filename)
-    return None
-
-
-def get_all_role_types() -> list[str]:
-    """获取所有角色类型列表"""
-    return list(ROLE_TEMPLATES.keys())
-
-
-def render_agent_yaml(agent_id: str, agent_type: str, name: str) -> str:
-    """渲染agent.yaml模板"""
-    return BASE_TEMPLATES["agent.yaml"].format(
-        agent_id=agent_id,
-        agent_type=agent_type,
-        name=name
-    )
--- a/backend/agents/workspace_manager.py
+++ b/backend/agents/workspace_manager.py
@@ -41,6 +41,16 @@ class RunWorkspaceManager:
                "tickers:\n"
                "  - AAPL\n"
                "  - MSFT\n"
+                "  - GOOGL\n"
+                "  - AMZN\n"
+                "  - NVDA\n"
+                "  - META\n"
+                "  - TSLA\n"
+                "  - AMD\n"
+                "  - NFLX\n"
+                "  - AVGO\n"
+                "  - PLTR\n"
+                "  - COIN\n"
                "initial_cash: 100000\n"
                "margin_requirement: 0.0\n"
                "enable_memory: false\n"
@@ -63,9 +73,8 @@ class RunWorkspaceManager:
        self,
        config_name: str,
        agent_id: str,
-        role_seed: str = "",
-        style_seed: str = "",
-        policy_seed: str = "",
+        file_contents: Optional[Dict[str, str]] = None,
+        persona: Optional[Dict[str, object]] = None,
    ) -> Path:
        asset_dir = self.skills_manager.get_agent_asset_dir(
            config_name,
@@ -77,58 +86,55 @@ class RunWorkspaceManager:
        (asset_dir / "skills" / "disabled").mkdir(parents=True, exist_ok=True)
        (asset_dir / "skills" / "local").mkdir(parents=True, exist_ok=True)

-        self._ensure_file(
-            asset_dir / "ROLE.md",
-            "# Role\n\n"
-            "Optional run-scoped role override.\n\n"
-            f"{role_seed}".strip()
-            + "\n",
-        )
-        self._ensure_file(
-            asset_dir / "STYLE.md",
-            "# Style\n\n"
-            "Optional run-scoped communication or reasoning style.\n\n"
-            f"{style_seed}".strip()
-            + "\n",
-        )
-        self._ensure_file(
-            asset_dir / "POLICY.md",
-            "# Policy\n\n"
-            "Optional run-scoped constraints, limits, or strategy policy.\n\n"
-            f"{policy_seed}".strip()
-            + "\n",
-        )
-        self._ensure_file(
-            asset_dir / "SOUL.md",
-            "# Soul\n\n"
-            "Describe the agent's temperament, reasoning posture, and voice.\n\n",
-        )
-        self._ensure_file(
-            asset_dir / "PROFILE.md",
-            "# Profile\n\n"
-            "Track this agent's long-lived investment style, preferences, and strengths.\n\n",
-        )
-        self._ensure_file(
-            asset_dir / "AGENTS.md",
-            "# Agent Guide\n\n"
-            "Document how this agent should work, collaborate, and choose tools or skills.\n\n",
-        )
-        self._ensure_file(
-            asset_dir / "MEMORY.md",
-            "# Memory\n\n"
-            "Store durable lessons, heuristics, and reminders for this agent.\n\n",
-        )
-        self._ensure_file(
-            asset_dir / "HEARTBEAT.md",
-            "# Heartbeat\n\n"
-            "Optional checklist for periodic review or self-reflection.\n\n",
-        )
+        file_contents = file_contents or self.build_default_agent_files(agent_id=agent_id)
+        for filename, content in file_contents.items():
+            legacy_contents = self.build_legacy_agent_file_variants(
+                agent_id=agent_id,
+                filename=filename,
+                persona=persona,
+            )
+            self._ensure_file(asset_dir / filename, content, legacy_contents=legacy_contents)
        self._ensure_agent_yaml(
            asset_dir / "agent.yaml",
            agent_id=agent_id,
        )
        return asset_dir

+    def build_default_agent_files(
+        self,
+        *,
+        agent_id: str,
+        persona: Optional[Dict[str, object]] = None,
+    ) -> Dict[str, str]:
+        """Build default workspace markdown files for one agent."""
+        if agent_id.endswith("_analyst"):
+            return self._build_analyst_files(agent_id=agent_id, persona=persona or {})
+        if agent_id == "portfolio_manager":
+            return self._build_portfolio_manager_files()
+        if agent_id == "risk_manager":
+            return self._build_risk_manager_files()
+        return self._build_generic_files(agent_id=agent_id)
+
+    def build_legacy_agent_file_variants(
+        self,
+        *,
+        agent_id: str,
+        filename: str,
+        persona: Optional[Dict[str, object]] = None,
+    ) -> list[str]:
+        """Return known generated legacy variants safe to upgrade in-place."""
+        persona = persona or {}
+        variants: list[dict[str, str]] = [
+            self._build_legacy_english_files(agent_id=agent_id),
+            self._build_previous_chinese_files(agent_id=agent_id, persona=persona),
+        ]
+        values: list[str] = []
+        for item in variants:
+            content = item.get(filename)
+            if content:
+                values.append(content)
+        return values
+
    def load_agent_file(
        self,
        *,
@@ -137,7 +143,7 @@ class RunWorkspaceManager:
        filename: str,
    ) -> str:
        """Load one run-scoped agent workspace file."""
-        path = self.get_agent_asset_dir(config_name, agent_id) / filename
+        path = self.skills_manager.get_agent_asset_dir(config_name, agent_id) / filename
        if not path.exists():
            raise FileNotFoundError(f"File not found: {filename}")
        return path.read_text(encoding="utf-8")
@@ -151,7 +157,7 @@ class RunWorkspaceManager:
        content: str,
    ) -> None:
        """Write one run-scoped agent workspace file."""
-        asset_dir = self.get_agent_asset_dir(config_name, agent_id)
+        asset_dir = self.skills_manager.get_agent_asset_dir(config_name, agent_id)
        asset_dir.mkdir(parents=True, exist_ok=True)
        path = asset_dir / filename
        path.write_text(content, encoding="utf-8")
@@ -168,49 +174,285 @@ class RunWorkspaceManager:
        for agent_id in agent_ids:
            if agent_id.endswith("_analyst"):
                persona = analyst_personas.get(agent_id, {})
-                role_seed = persona.get("description", "").strip()
-                focus_items = persona.get("focus", [])
-                style_seed = "\n".join(f"- {item}" for item in focus_items)
-                policy_seed = (
-                    "State a clear signal, confidence, and the conditions that would invalidate the thesis."
-                )
-            elif agent_id == "portfolio_manager":
-                role_seed = (
-                    "Synthesize analyst and risk inputs into explicit portfolio decisions."
-                )
-                style_seed = (
-                    "Be concise, capital-aware, and explicit about sizing rationale."
-                )
-                policy_seed = (
-                    "Respect cash, margin, and portfolio concentration constraints before recording decisions."
-                )
-            elif agent_id == "risk_manager":
-                role_seed = (
-                    "Quantify concentration, leverage, liquidity, and volatility risk before trade execution."
-                )
-                style_seed = (
-                    "Prioritize the highest-severity risk first and state concrete limits."
-                )
-                policy_seed = (
-                    "Use available risk tools before issuing the final risk memo."
+                file_contents = self.build_default_agent_files(
+                    agent_id=agent_id,
+                    persona=persona,
                )
            else:
-                role_seed = ""
-                style_seed = ""
-                policy_seed = ""
-
-            self.ensure_agent_assets(
-                config_name=config_name,
-                agent_id=agent_id,
-                role_seed=role_seed,
-                style_seed=style_seed,
-                policy_seed=policy_seed,
-            )
+                persona = None
+                file_contents = self.build_default_agent_files(agent_id=agent_id)
+            asset_dir = self.skills_manager.get_agent_asset_dir(config_name, agent_id)
+            asset_dir.mkdir(parents=True, exist_ok=True)
+            (asset_dir / "skills" / "installed").mkdir(parents=True, exist_ok=True)
+            (asset_dir / "skills" / "active").mkdir(parents=True, exist_ok=True)
+            (asset_dir / "skills" / "disabled").mkdir(parents=True, exist_ok=True)
+            (asset_dir / "skills" / "local").mkdir(parents=True, exist_ok=True)
+            for filename, content in file_contents.items():
+                self._ensure_file(
+                    asset_dir / filename,
+                    content,
+                    legacy_contents=self.build_legacy_agent_file_variants(
+                        agent_id=agent_id,
+                        filename=filename,
+                        persona=persona,
+                    ),
+                )
+            self._ensure_agent_yaml(asset_dir / "agent.yaml", agent_id=agent_id)

    @staticmethod
-    def _ensure_file(path: Path, content: str) -> None:
+    def _ensure_file(path: Path, content: str, *, legacy_contents: Optional[list[str]] = None) -> None:
        if not path.exists():
            path.write_text(content, encoding="utf-8")
+            return
+        existing = path.read_text(encoding="utf-8")
+        normalized_existing = existing.strip()
+        candidates = {item.strip() for item in (legacy_contents or []) if item and item.strip()}
+        if normalized_existing in candidates:
+            path.write_text(content, encoding="utf-8")
+
+    @staticmethod
+    def _build_generic_files(agent_id: str) -> Dict[str, str]:
+        return {
+            "SOUL.md": (
+                "# Soul\n\n"
+                f"你是 `{agent_id}`，语气冷静、客观、专业。保持清晰推理，优先基于数据而不是情绪下结论。\n"
+            ),
+            "PROFILE.md": (
+                "# Profile\n\n"
+                "记录这个 agent 长期稳定的分析风格、偏好、优势与盲点。\n"
+            ),
+            "AGENTS.md": (
+                "# Agent Guide\n\n"
+                "工作要求：\n"
+                "- 优先使用已激活的技能和工具\n"
+                "- 结论要明确，过程要可追溯\n"
+                "- 与其他 agent 协作时保持输入输出简洁\n"
+                "- 最终输出必须使用简体中文；如需引用英文术语，仅保留专有名词，解释和结论必须用中文\n"
+            ),
+            "POLICY.md": (
+                "# Policy\n\n"
+                "- 给出结论时说明核心驱动因素\n"
+                "- 明确风险边界和结论失效条件\n"
+                "- 出现反例时需要纳入最终判断\n"
+                "- 不要输出英文报告标题、英文摘要或整段英文正文\n"
+            ),
+            "MEMORY.md": (
+                "# Memory\n\n"
+                "记录可复用的经验、失误复盘、有效启发式和需要持续跟踪的提醒。\n"
+            ),
+        }
+
+    @classmethod
+    def _build_analyst_files(cls, *, agent_id: str, persona: Dict[str, object]) -> Dict[str, str]:
+        role_name = str(persona.get("name") or agent_id)
+        focus_items = [
+            str(item).strip()
+            for item in persona.get("focus", [])
+            if str(item).strip()
+        ]
+        focus_md = "\n".join(f"- {item}" for item in focus_items) or "- 根据当前任务选择最相关的分析维度"
+        description = str(persona.get("description") or "").strip()
+
+        files = cls._build_generic_files(agent_id)
+        files["SOUL.md"] = (
+            "# Soul\n\n"
+            f"你是一位专业的{role_name}。\n\n"
+            "保持谦逊和开放，主动寻找与自己观点相悖的证据，并将其纳入最终评估。"
+            "你的分析要体现持续演化的投资哲学，而不是一次性的结论。\n"
+        )
+        files["PROFILE.md"] = (
+            "# Profile\n\n"
+            f"角色定位：{role_name}\n\n"
+            "你的关注重点：\n"
+            f"{focus_md}\n\n"
+            "角色说明：\n"
+            f"{description or '围绕最关键的基本面、技术面、情绪面或估值因素形成高质量判断。'}\n"
+        )
+        files["AGENTS.md"] = (
+            "# Agent Guide\n\n"
+            "分析流程：\n"
+            "- 优先识别真正驱动价值或价格变化的核心变量\n"
+            "- 使用相关工具和技能补足证据链\n"
+            "- 给出可验证、可复查、可执行的分析结果\n"
+            "- 在团队讨论中清晰表达你的论点和反论点\n\n"
+            "输出要求：\n"
+            "- 给出明确投资信号：看涨、看跌或中性\n"
+            "- 包含置信度（0-100）\n"
+            "- 如果你确定要分享最终分析，请先给出结论，再给出推理依据\n"
+            "- 最终输出必须使用简体中文，不要生成英文版 analysis report\n"
+        )
+        files["POLICY.md"] = (
+            "# Policy\n\n"
+            "- 深化你的投资逻辑，确保每项建议都有清晰、可追溯、可重复的依据\n"
+            "- 明确风险边界：在什么具体情况下当前结论会失效\n"
+            "- 做逆向测试：说明市场主流共识与你的不同点\n"
+            "- 每次分析后反思这次案例如何验证或挑战你现有的信念\n"
+            "- 即使输入新闻或财报原文是英文，最终表达也必须用中文\n"
+        )
+        return files
+
+    @classmethod
+    def _build_portfolio_manager_files(cls) -> Dict[str, str]:
+        files = cls._build_generic_files("portfolio_manager")
+        files["SOUL.md"] = (
+            "# Soul\n\n"
+            "你是一位负责做出投资决策的投资组合经理。你需要综合多个分析视角，"
+            "做出保守、明确、资本约束下可执行的组合决策。\n"
+        )
+        files["PROFILE.md"] = (
+            "# Profile\n\n"
+            "核心职责：\n"
+            "- 分析分析师和风险管理经理的输入\n"
+            "- 基于信号和市场情境做出投资决策\n"
+            "- 使用可用工具记录每个 ticker 的决策\n"
+        )
+        files["AGENTS.md"] = (
+            "# Agent Guide\n\n"
+            "决策框架：\n"
+            "- 审阅分析以理解市场观点\n"
+            "- 在做决策前先考虑风险警告\n"
+            "- 评估当前投资组合持仓、现金与保证金占用\n"
+            "- 决策必须与整体投资目标和风险约束一致\n\n"
+            "决策类型：\n"
+            '- `long`：看涨，建议买入\n'
+            '- `short`：看跌，建议卖出或做空\n'
+            '- `hold`：中性，维持当前持仓\n\n'
+            "输出要求：\n"
+            "- 使用 `make_decision` 工具记录每个股票的最终决策\n"
+            "- 记录完成后给出投资逻辑总结\n"
+            "- 最终总结必须使用简体中文\n"
+        )
+        files["POLICY.md"] = (
+            "# Policy\n\n"
+            "- 在决定数量时考虑可用现金，不要超出现金允许范围\n"
+            "- 考虑做空头寸的保证金要求\n"
+            "- 仓位规模相对于组合总资产保持保守\n"
+            "- 始终为决策提供清晰理由\n"
+            "- 不要输出英文投资报告或英文结论\n"
+        )
+        return files
+
+    @classmethod
+    def _build_risk_manager_files(cls) -> Dict[str, str]:
+        files = cls._build_generic_files("risk_manager")
+        files["SOUL.md"] = (
+            "# Soul\n\n"
+            "你是一位专业的风险管理经理，负责监控投资组合风险并提供风险警告。"
+            "你的目标不是输出空泛的谨慎，而是给出量化、可执行、可优先级排序的风险意见。\n"
+        )
+        files["PROFILE.md"] = (
+            "# Profile\n\n"
+            "核心职责：\n"
+            "- 监控投资组合敞口和集中度风险\n"
+            "- 评估仓位规模相对于波动性是否合理\n"
+            "- 评估保证金使用和杠杆水平\n"
+            "- 识别潜在风险因素并提供警告\n"
+            "- 基于市场条件建议仓位限制\n"
+        )
+        files["AGENTS.md"] = (
+            "# Agent Guide\n\n"
+            "决策流程：\n"
+            "- 优先使用可用的风险工具量化集中度、波动率和保证金压力\n"
+            "- 结合工具结果与当前市场上下文做判断\n"
+            "- 生成可操作的风险警告和仓位限制建议\n"
+            "- 为风险评估提供清晰理由\n\n"
+            "输出要求：\n"
+            "- 风险评估要简洁但全面\n"
+            "- 按严重程度优先排序警告\n"
+            "- 提供具体、可操作的建议\n"
+            "- 尽可能包含量化指标\n"
+            "- 最终风险结论必须使用简体中文\n"
+        )
+        files["POLICY.md"] = (
+            "# Policy\n\n"
+            "- 先量化，再判断，不要只给抽象风险表述\n"
+            "- 高严重度风险必须先说\n"
+            "- 最终结论需要明确仓位限制或调整建议\n"
+            "- 不要输出英文风险报告或英文摘要\n"
+        )
+        return files
+
+    @staticmethod
+    def _build_legacy_english_files(agent_id: str) -> Dict[str, str]:
+        policy_tail = "Optional run-scoped constraints, limits, or strategy policy.\n\n"
+        if agent_id == "portfolio_manager":
+            policy_tail += "Respect cash, margin, and portfolio concentration constraints before recording decisions.\n"
+        elif agent_id == "risk_manager":
+            policy_tail += "Use available risk tools before issuing the final risk memo.\n"
+        elif agent_id.endswith("_analyst"):
+            policy_tail += "State a clear signal, confidence, and the conditions that would invalidate the thesis.\n"
+        return {
+            "SOUL.md": "# Soul\n\nDescribe the agent's temperament, reasoning posture, and voice.\n\n",
+            "PROFILE.md": "# Profile\n\nTrack this agent's long-lived investment style, preferences, and strengths.\n\n",
+            "AGENTS.md": "# Agent Guide\n\nDocument how this agent should work, collaborate, and choose tools or skills.\n\n",
+            "POLICY.md": "# Policy\n\n" + policy_tail,
+            "MEMORY.md": "# Memory\n\nStore durable lessons, heuristics, and reminders for this agent.\n\n",
+        }
+
+    @classmethod
+    def _build_previous_chinese_files(cls, *, agent_id: str, persona: Dict[str, object]) -> Dict[str, str]:
+        if agent_id.endswith("_analyst"):
+            role_name = str(persona.get("name") or agent_id)
+            focus_items = [
+                str(item).strip()
+                for item in persona.get("focus", [])
+                if str(item).strip()
+            ]
+            focus_md = "\n".join(f"- {item}" for item in focus_items) or "- 根据当前任务选择最相关的分析维度"
+            description = str(persona.get("description") or "").strip()
+            return {
+                "SOUL.md": (
+                    "# Soul\n\n"
+                    f"你是一位专业的{role_name}。\n\n"
+                    "保持谦逊和开放，主动寻找与自己观点相悖的证据，并将其纳入最终评估。"
+                    "你的分析要体现持续演化的投资哲学，而不是一次性的结论。\n"
+                ),
+                "PROFILE.md": (
+                    "# Profile\n\n"
+                    f"角色定位：{role_name}\n\n"
+                    "你的关注重点：\n"
+                    f"{focus_md}\n\n"
+                    "角色说明：\n"
+                    f"{description or '围绕最关键的基本面、技术面、情绪面或估值因素形成高质量判断。'}\n"
+                ),
+                "AGENTS.md": (
+                    "# Agent Guide\n\n"
+                    "分析流程：\n"
+                    "- 优先识别真正驱动价值或价格变化的核心变量\n"
+                    "- 使用相关工具和技能补足证据链\n"
+                    "- 给出可验证、可复查、可执行的分析结果\n"
+                    "- 在团队讨论中清晰表达你的论点和反论点\n\n"
+                    "输出要求：\n"
+                    "- 给出明确投资信号：看涨、看跌或中性\n"
+                    "- 包含置信度（0-100）\n"
+                    "- 如果你确定要分享最终分析，请先给出结论，再给出推理依据\n"
+                ),
+                "POLICY.md": (
+                    "# Policy\n\n"
+                    "- 深化你的投资逻辑，确保每项建议都有清晰、可追溯、可重复的依据\n"
+                    "- 明确风险边界：在什么具体情况下当前结论会失效\n"
+                    "- 做逆向测试：说明市场主流共识与你的不同点\n"
+                    "- 每次分析后反思这次案例如何验证或挑战你现有的信念\n"
+                ),
+                "MEMORY.md": "# Memory\n\n记录可复用的经验、失误复盘、有效启发式和需要持续跟踪的提醒。\n",
+            }
+        if agent_id == "portfolio_manager":
+            return {
+                "SOUL.md": "# Soul\n\n你是一位负责做出投资决策的投资组合经理。你需要综合多个分析视角，做出保守、明确、资本约束下可执行的组合决策。\n",
+                "PROFILE.md": "# Profile\n\n核心职责：\n- 分析分析师和风险管理经理的输入\n- 基于信号和市场情境做出投资决策\n- 使用可用工具记录每个 ticker 的决策\n",
+                "AGENTS.md": "# Agent Guide\n\n决策框架：\n- 审阅分析以理解市场观点\n- 在做决策前先考虑风险警告\n- 评估当前投资组合持仓、现金与保证金占用\n- 决策必须与整体投资目标和风险约束一致\n\n决策类型：\n- `long`：看涨，建议买入\n- `short`：看跌，建议卖出或做空\n- `hold`：中性，维持当前持仓\n\n输出要求：\n- 使用 `make_decision` 工具记录每个股票的最终决策\n- 记录完成后给出投资逻辑总结\n",
+                "POLICY.md": "# Policy\n\n- 在决定数量时考虑可用现金，不要超出现金允许范围\n- 考虑做空头寸的保证金要求\n- 仓位规模相对于组合总资产保持保守\n- 始终为决策提供清晰理由\n",
+                "MEMORY.md": "# Memory\n\n记录可复用的经验、失误复盘、有效启发式和需要持续跟踪的提醒。\n",
+            }
+        if agent_id == "risk_manager":
+            return {
+                "SOUL.md": "# Soul\n\n你是一位专业的风险管理经理，负责监控投资组合风险并提供风险警告。你的目标不是输出空泛的谨慎，而是给出量化、可执行、可优先级排序的风险意见。\n",
+                "PROFILE.md": "# Profile\n\n核心职责：\n- 监控投资组合敞口和集中度风险\n- 评估仓位规模相对于波动性是否合理\n- 评估保证金使用和杠杆水平\n- 识别潜在风险因素并提供警告\n- 基于市场条件建议仓位限制\n",
+                "AGENTS.md": "# Agent Guide\n\n决策流程：\n- 优先使用可用的风险工具量化集中度、波动率和保证金压力\n- 结合工具结果与当前市场上下文做判断\n- 生成可操作的风险警告和仓位限制建议\n- 为风险评估提供清晰理由\n\n输出要求：\n- 风险评估要简洁但全面\n- 按严重程度优先排序警告\n- 提供具体、可操作的建议\n- 尽可能包含量化指标\n",
+                "POLICY.md": "# Policy\n\n- 先量化，再判断，不要只给抽象风险表述\n- 高严重度风险必须先说\n- 最终结论需要明确仓位限制或调整建议\n",
+                "MEMORY.md": "# Memory\n\n记录可复用的经验、失误复盘、有效启发式和需要持续跟踪的提醒。\n",
+            }
+        return cls._build_legacy_english_files(agent_id)

    @staticmethod
    def _ensure_agent_yaml(path: Path, agent_id: str) -> None:
--- a/backend/api/init.py
+++ b/backend/api/init.py
@@ -11,11 +11,13 @@ Provides REST API endpoints for:
 from .agents import router as agents_router
 from .workspaces import router as workspaces_router
 from .guard import router as guard_router
+from .openclaw import router as openclaw_router
 from .runtime import router as runtime_router

 __all__ = [
    "agents_router",
    "workspaces_router",
    "guard_router",
+    "openclaw_router",
    "runtime_router",
 ]
--- a/backend/api/agents.py
+++ b/backend/api/agents.py
@@ -661,7 +661,7 @@ async def get_agent_file(
    Args:
        workspace_id: Workspace identifier
        agent_id: Agent identifier
-        filename: File to read (e.g., SOUL.md, ROLE.md)
+        filename: File to read (e.g., SOUL.md, PROFILE.md)

    Returns:
        File content
--- a/backend/api/openclaw.py
+++ b/backend/api/openclaw.py
@@ -0,0 +1,839 @@
+# -*- coding: utf-8 -*-
+"""Read-only OpenClaw CLI API routes — typed with Pydantic models."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from fastapi import APIRouter, Depends, HTTPException, Query
+from pydantic import BaseModel, Field
+
+from backend.services.openclaw_cli import OpenClawCliError, OpenClawCliService
+from shared.models.openclaw import OpenClawStatus
+
+
+router = APIRouter(prefix="/api/openclaw", tags=["openclaw"])
+
+
+def get_openclaw_cli_service() -> OpenClawCliService:
+    """Build the OpenClaw CLI service dependency."""
+    return OpenClawCliService()
+
+
+def _raise_cli_http_error(exc: OpenClawCliError) -> None:
+    detail = {
+        "message": str(exc),
+        "command": exc.command,
+        "exit_code": exc.exit_code,
+        "stdout": exc.stdout,
+        "stderr": exc.stderr,
+    }
+    status_code = 503 if exc.exit_code is None else 502
+    raise HTTPException(status_code=status_code, detail=detail) from exc
+
+
+# ---------------------------------------------------------------------------
+# Response wrappers
+# ---------------------------------------------------------------------------
+
+class StatusResponse(BaseModel):
+    status: object
+
+
+class SessionsResponse(BaseModel):
+    sessions: list[object]
+
+
+class SessionDetailResponse(BaseModel):
+    session: object | None
+
+
+class SessionHistoryResponse(BaseModel):
+    session_key: str
+    session_id: str | None
+    events: list[object]
+    history: list[object]
+    raw_text: str | None
+
+
+class CronResponse(BaseModel):
+    cron: list[object]
+    jobs: list[object]
+
+
+class ApprovalsResponse(BaseModel):
+    approvals: list[object]
+    pending: list[object]
+
+
+class AgentsResponse(BaseModel):
+    agents: list[object]
+
+
+class SkillsResponse(BaseModel):
+    workspace_dir: str
+    managed_skills_dir: str
+    skills: list[object]
+
+
+class ModelsResponse(BaseModel):
+    models: list[object]
+
+
+class HooksResponse(BaseModel):
+    workspace_dir: str
+    managed_hooks_dir: str
+    hooks: list[object]
+
+
+class PluginsResponse(BaseModel):
+    workspace_dir: str
+    plugins: list[object]
+    diagnostics: list[object]
+
+
+class SecretsAuditResponse(BaseModel):
+    version: int
+    status: str
+    findings: list[object]
+
+
+class SecurityAuditResponse2(BaseModel):
+    report: object | None
+    secret_diagnostics: list[str]
+
+
+class DaemonStatusResponse(BaseModel):
+    service: object | None
+    port: object | None
+    rpc: object | None
+    health: object | None
+
+
+class PairingListResponse2(BaseModel):
+    channel: str
+    requests: list[object]
+
+
+class QrCodeResponse2(BaseModel):
+    setup_code: str
+    gateway_url: str
+    auth: str
+    url_source: str
+
+
+class UpdateStatusResponse2(BaseModel):
+    update: object | None
+    channel: object | None
+
+
+class ModelAliasesResponse(BaseModel):
+    aliases: dict[str, str]
+
+
+class ModelFallbacksResponse(BaseModel):
+    key: str
+    label: str
+    items: list[object]
+
+
+class SkillUpdateResponse(BaseModel):
+    ok: bool
+    slug: str
+    version: str
+    error: str | None
+
+
+class ModelsStatusResponse(BaseModel):
+    configPath: str | None = None
+    agentId: str | None = None
+    agentDir: str | None = None
+    defaultModel: str | None = None
+    resolvedDefault: str | None = None
+    fallbacks: list[str] = Field(default_factory=list)
+    imageModel: str | None = None
+    imageFallbacks: list[str] = Field(default_factory=list)
+    aliases: dict[str, str] = Field(default_factory=dict)
+    allowed: list[str] = Field(default_factory=list)
+    auth: dict[str, Any] = Field(default_factory=dict)
+
+
+class ChannelsStatusResponse(BaseModel):
+    reachable: bool | None = None
+    channelAccounts: dict[str, Any] = Field(default_factory=dict)
+    channels: list[str] = Field(default_factory=list)
+    issues: list[dict[str, Any]] = Field(default_factory=list)
+
+
+class ChannelsListResponse(BaseModel):
+    chat: dict[str, list[str]] = Field(default_factory=dict)
+    auth: list[dict[str, Any]] = Field(default_factory=list)
+    usage: dict[str, Any] | None = None
+
+
+class HookInfoResponse(BaseModel):
+    name: str | None = None
+    description: str | None = None
+    source: str | None = None
+    pluginId: str | None = None
+    filePath: str | None = None
+    handlerPath: str | None = None
+    hookKey: str | None = None
+    emoji: str | None = None
+    homepage: str | None = None
+    events: list[str] = Field(default_factory=list)
+    enabledByConfig: bool | None = None
+    loadable: bool | None = None
+    requirementsSatisfied: bool | None = None
+    requirements: dict[str, Any] = Field(default_factory=dict)
+    error: str | None = None
+    raw: str | None = None
+
+
+class HooksCheckResponse(BaseModel):
+    workspace_dir: str = ""
+    managed_hooks_dir: str = ""
+    hooks: list[dict[str, Any]] = Field(default_factory=list)
+    eligible: bool | None = None
+    verbose: bool | None = None
+
+
+class PluginInspectEntry(BaseModel):
+    plugin: dict[str, Any] = Field(default_factory=dict)
+    shape: str | None = None
+    capabilityMode: str | None = None
+    capabilityCount: int = 0
+    capabilities: list[dict[str, Any]] = Field(default_factory=list)
+    typedHooks: list[dict[str, Any]] = Field(default_factory=list)
+    customHooks: list[dict[str, Any]] = Field(default_factory=list)
+    tools: list[dict[str, Any]] = Field(default_factory=list)
+    commands: list[str] = Field(default_factory=list)
+    cliCommands: list[str] = Field(default_factory=list)
+    services: list[str] = Field(default_factory=list)
+    gatewayMethods: list[str] = Field(default_factory=list)
+    mcpServers: list[dict[str, Any]] = Field(default_factory=list)
+    lspServers: list[dict[str, Any]] = Field(default_factory=list)
+    httpRouteCount: int = 0
+    bundleCapabilities: list[str] = Field(default_factory=list)
+
+
+class PluginsInspectResponse(BaseModel):
+    inspect: list[dict[str, Any]] = Field(default_factory=list)
+
+
+class AgentBindingItem(BaseModel):
+    agentId: str
+    match: dict[str, Any]
+    description: str
+
+
+class AgentsBindingsResponse(BaseModel):
+    bindings: list[AgentBindingItem]
+
+
+# ---------------------------------------------------------------------------
+# Routes — use typed model methods and return Pydantic models directly
+# ---------------------------------------------------------------------------
+
+@router.get("/status")
+async def api_openclaw_status(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> OpenClawStatus:
+    """Read `openclaw status --json` and return a typed model."""
+    try:
+        return service.status_model()
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/sessions")
+async def api_openclaw_sessions(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> SessionsResponse:
+    """Read `openclaw sessions --json` and return a typed SessionsList."""
+    try:
+        result = service.list_sessions_model()
+        return SessionsResponse(sessions=result.sessions)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/sessions/{session_key:path}/history")
+async def api_openclaw_session_history(
+    session_key: str,
+    limit: int = Query(20, ge=1, le=200),
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> SessionHistoryResponse:
+    """Read session history and return a typed SessionHistory."""
+    try:
+        result = service.get_session_history_model(session_key, limit=limit)
+        return SessionHistoryResponse(
+            session_key=result.session_key,
+            session_id=result.session_id,
+            events=result.events,
+            history=result.events,  # alias for compat
+            raw_text=result.raw_text,
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/sessions/{session_key:path}")
+async def api_openclaw_session_detail(
+    session_key: str,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> SessionDetailResponse:
+    """Resolve a single session and return it as a typed model."""
+    try:
+        session = service.get_session_model(session_key)
+        return SessionDetailResponse(session=session)
+    except KeyError as exc:
+        raise HTTPException(status_code=404, detail=f"session '{session_key}' not found") from exc
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/cron")
+async def api_openclaw_cron(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> CronResponse:
+    """Read `openclaw cron list --json` and return a typed CronList."""
+    try:
+        result = service.list_cron_jobs_model()
+        return CronResponse(cron=list(result.cron), jobs=list(result.jobs))
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/approvals")
+async def api_openclaw_approvals(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ApprovalsResponse:
+    """Read `openclaw approvals get --json` and return a typed ApprovalsList."""
+    try:
+        result = service.list_approvals_model()
+        return ApprovalsResponse(
+            approvals=list(result.approvals),
+            pending=list(result.pending),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/agents")
+async def api_openclaw_agents(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> AgentsResponse:
+    """Read `openclaw agents list --json` and return a typed AgentsList."""
+    try:
+        result = service.list_agents_model()
+        return AgentsResponse(agents=list(result.agents))
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/agents/presence")
+async def api_openclaw_agents_presence(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> dict[str, Any]:
+    """Read runtime session presence for all agents from session files."""
+    result = service.agents_presence()
+    return result
+
+
+# ---------------------------------------------------------------------------
+# Write agents routes
+# ---------------------------------------------------------------------------
+
+
+class AgentAddResponse(BaseModel):
+    agentId: str
+    name: str
+    workspace: str
+    agentDir: str
+    model: str | None = None
+    bindings: dict[str, Any] = Field(default_factory=dict)
+
+
+class AgentDeleteResponse(BaseModel):
+    agentId: str
+    workspace: str
+    agentDir: str
+    sessionsDir: str
+    removedBindings: list[str] = Field(default_factory=list)
+    removedAllow: list[str] = Field(default_factory=list)
+
+
+class AgentBindResponse(BaseModel):
+    agentId: str
+    added: list[str] = Field(default_factory=list)
+    updated: list[str] = Field(default_factory=list)
+    skipped: list[str] = Field(default_factory=list)
+    conflicts: list[str] = Field(default_factory=list)
+
+
+class AgentUnbindResponse(BaseModel):
+    agentId: str
+    removed: list[str] = Field(default_factory=list)
+    missing: list[str] = Field(default_factory=list)
+    conflicts: list[str] = Field(default_factory=list)
+
+
+class AgentIdentityResponse(BaseModel):
+    agentId: str
+    identity: dict[str, Any] = Field(default_factory=dict)
+    workspace: str | None = None
+    identityFile: str | None = None
+
+
+@router.post("/agents/add")
+async def api_openclaw_agents_add(
+    name: str,
+    *,
+    workspace: str | None = None,
+    model: str | None = None,
+    agent_dir: str | None = None,
+    bind: list[str] | None = None,
+    non_interactive: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> AgentAddResponse:
+    """Run `openclaw agents add <name>` and return JSON result."""
+    try:
+        result = service.agents_add(
+            name,
+            workspace=workspace,
+            model=model,
+            agent_dir=agent_dir,
+            bind=bind,
+            non_interactive=non_interactive,
+        )
+        return AgentAddResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.post("/agents/delete/{id}")
+async def api_openclaw_agents_delete(
+    id: str,
+    force: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> AgentDeleteResponse:
+    """Run `openclaw agents delete <id> [--force]` and return JSON result."""
+    try:
+        result = service.agents_delete(id, force=force)
+        return AgentDeleteResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.post("/agents/bind")
+async def api_openclaw_agents_bind(
+    *,
+    agent: str | None = None,
+    bind: list[str] | None = None,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> AgentBindResponse:
+    """Run `openclaw agents bind [--agent <id>] [--bind <spec>]` and return JSON result."""
+    try:
+        result = service.agents_bind(agent=agent, bind=bind)
+        return AgentBindResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.post("/agents/unbind")
+async def api_openclaw_agents_unbind(
+    *,
+    agent: str | None = None,
+    bind: list[str] | None = None,
+    all: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> AgentUnbindResponse:
+    """Run `openclaw agents unbind [--agent <id>] [--bind <spec>] [--all]` and return JSON result."""
+    try:
+        result = service.agents_unbind(agent=agent, bind=bind, all=all)
+        return AgentUnbindResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.post("/agents/set-identity")
+async def api_openclaw_agents_set_identity(
+    *,
+    agent: str | None = None,
+    workspace: str | None = None,
+    identity_file: str | None = None,
+    name: str | None = None,
+    emoji: str | None = None,
+    theme: str | None = None,
+    avatar: str | None = None,
+    from_identity: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> AgentIdentityResponse:
+    """Run `openclaw agents set-identity` and return JSON result."""
+    try:
+        result = service.agents_set_identity(
+            agent=agent,
+            workspace=workspace,
+            identity_file=identity_file,
+            name=name,
+            emoji=emoji,
+            theme=theme,
+            avatar=avatar,
+            from_identity=from_identity,
+        )
+        return AgentIdentityResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/skills")
+async def api_openclaw_skills(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> SkillsResponse:
+    """Read `openclaw skills list --json` and return a typed SkillStatusReport."""
+    try:
+        result = service.list_skills_model()
+        return SkillsResponse(
+            workspace_dir=result.workspace_dir,
+            managed_skills_dir=result.managed_skills_dir,
+            skills=list(result.skills),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/models")
+async def api_openclaw_models(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ModelsResponse:
+    """Read `openclaw models list --json` and return a typed ModelsList."""
+    try:
+        result = service.list_models_model()
+        return ModelsResponse(models=list(result.models))
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/hooks")
+async def api_openclaw_hooks(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> HooksResponse:
+    try:
+        result = service.list_hooks_model()
+        return HooksResponse(
+            workspace_dir=result.workspace_dir,
+            managed_hooks_dir=result.managed_hooks_dir,
+            hooks=list(result.hooks),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/plugins")
+async def api_openclaw_plugins(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> PluginsResponse:
+    try:
+        result = service.list_plugins_model()
+        return PluginsResponse(
+            workspace_dir=result.workspace_dir,
+            plugins=list(result.plugins),
+            diagnostics=list(result.diagnostics),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/secrets-audit")
+async def api_openclaw_secrets_audit(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> SecretsAuditResponse:
+    try:
+        result = service.secrets_audit_model()
+        return SecretsAuditResponse(
+            version=result.version,
+            status=result.status,
+            findings=list(result.findings),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/security-audit")
+async def api_openclaw_security_audit(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> SecurityAuditResponse2:
+    try:
+        result = service.security_audit_model()
+        return SecurityAuditResponse2(
+            report=result.report.model_dump() if result.report else None,
+            secret_diagnostics=list(result.secret_diagnostics),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/daemon-status")
+async def api_openclaw_daemon_status(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> DaemonStatusResponse:
+    try:
+        result = service.daemon_status_model()
+        return DaemonStatusResponse(
+            service=result.service.model_dump() if result.service else None,
+            port=result.port.model_dump() if result.port else None,
+            rpc=result.rpc.model_dump() if result.rpc else None,
+            health=result.health.model_dump() if result.health else None,
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/pairing")
+async def api_openclaw_pairing(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> PairingListResponse2:
+    try:
+        result = service.pairing_list_model()
+        return PairingListResponse2(
+            channel=result.channel,
+            requests=list(result.requests),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/qr")
+async def api_openclaw_qr(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> QrCodeResponse2:
+    try:
+        result = service.qr_code_model()
+        return QrCodeResponse2(
+            setup_code=result.setup_code,
+            gateway_url=result.gateway_url,
+            auth=result.auth,
+            url_source=result.url_source,
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/update-status")
+async def api_openclaw_update_status(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> UpdateStatusResponse2:
+    try:
+        result = service.update_status_model()
+        return UpdateStatusResponse2(
+            update=result.update.model_dump() if result.update else None,
+            channel=result.channel.model_dump() if result.channel else None,
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/models-aliases")
+async def api_openclaw_models_aliases(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ModelAliasesResponse:
+    try:
+        result = service.list_model_aliases_model()
+        return ModelAliasesResponse(aliases=result.aliases)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/models-fallbacks")
+async def api_openclaw_models_fallbacks(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ModelFallbacksResponse:
+    try:
+        result = service.list_model_fallbacks_model()
+        return ModelFallbacksResponse(
+            key=result.key,
+            label=result.label,
+            items=list(result.items),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/models-image-fallbacks")
+async def api_openclaw_models_image_fallbacks(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ModelFallbacksResponse:
+    try:
+        result = service.list_model_image_fallbacks_model()
+        return ModelFallbacksResponse(
+            key=result.key,
+            label=result.label,
+            items=list(result.items),
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/skill-update")
+async def api_openclaw_skill_update(
+    slug: str | None = None,
+    all: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> SkillUpdateResponse:
+    try:
+        result = service.skill_update_model(slug=slug, all=all)
+        return SkillUpdateResponse(
+            ok=result.ok,
+            slug=result.slug,
+            version=result.version,
+            error=result.error,
+        )
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/models-status")
+async def api_openclaw_models_status(
+    probe: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ModelsStatusResponse:
+    """Read `openclaw models status --json [--probe]` and return a typed dict."""
+    try:
+        result = service.models_status_model(probe=probe)
+        return ModelsStatusResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/channels-status")
+async def api_openclaw_channels_status(
+    probe: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ChannelsStatusResponse:
+    """Read `openclaw channels status --json [--probe]` and return a typed dict."""
+    try:
+        result = service.channels_status_model(probe=probe)
+        return ChannelsStatusResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/channels-list")
+async def api_openclaw_channels_list(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> ChannelsListResponse:
+    """Read `openclaw channels list --json` and return a typed dict."""
+    try:
+        result = service.channels_list_model()
+        return ChannelsListResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/hooks/info/{name}")
+async def api_openclaw_hook_info(
+    name: str,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> HookInfoResponse:
+    """Read `openclaw hooks info <name> --json` and return a typed dict."""
+    try:
+        result = service.hook_info_model(name)
+        return HookInfoResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/hooks/check")
+async def api_openclaw_hooks_check(
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> HooksCheckResponse:
+    """Read `openclaw hooks check --json` and return a typed dict."""
+    try:
+        result = service.hooks_check_model()
+        return HooksCheckResponse.model_validate(result, strict=False)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/plugins-inspect")
+async def api_openclaw_plugins_inspect(
+    plugin_id: str | None = None,
+    all: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> PluginsInspectResponse:
+    """Read `openclaw plugins inspect --json [--all]` and return a typed dict."""
+    try:
+        result = service.plugins_inspect_model(plugin_id=plugin_id, all=all)
+        inspect = result if isinstance(result, list) else result.get("inspect", [])
+        return PluginsInspectResponse(inspect=inspect)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+class AgentBindingItem(BaseModel):
+    agentId: str
+    match: dict[str, Any]
+    description: str
+
+
+class AgentsBindingsResponse(BaseModel):
+    bindings: list[AgentBindingItem]
+
+
+@router.get("/agents-bindings")
+async def api_openclaw_agents_bindings(
+    agent: str | None = None,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> AgentsBindingsResponse:
+    """Read `openclaw agents bindings --json [--agent <id>]` and return bindings list."""
+    try:
+        result = service.agents_bindings_model(agent=agent)
+        bindings = result if isinstance(result, list) else []
+        return AgentsBindingsResponse(bindings=bindings)
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/gateway-status")
+async def api_openclaw_gateway_status(
+    url: str | None = None,
+    token: str | None = None,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> dict[str, Any]:
+    """Read `openclaw gateway status --json [--url <url>] [--token <token>]`. Returns full gateway probe result."""
+    try:
+        result = service.gateway_status(url=url, token=token)
+        return result
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+@router.get("/memory-status")
+async def api_openclaw_memory_status(
+    agent: str | None = None,
+    deep: bool = False,
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> list[dict[str, Any]]:
+    """Read `openclaw memory status --json [--agent <id>] [--deep]`. Returns array of per-agent memory status."""
+    try:
+        result = service.memory_status(agent=agent, deep=deep)
+        return result if isinstance(result, list) else []
+    except OpenClawCliError as exc:
+        _raise_cli_http_error(exc)
+
+
+class WorkspaceFilesResponse(BaseModel):
+    workspace: str
+    files: list[dict[str, Any]]
+    error: str | None = None
+
+
+@router.get("/workspace-files")
+async def api_openclaw_workspace_files(
+    workspace: str = Query(..., description="Path to the agent workspace directory"),
+    service: OpenClawCliService = Depends(get_openclaw_cli_service),
+) -> WorkspaceFilesResponse:
+    """List .md files in an OpenClaw agent workspace with their content previews."""
+    result = service.list_workspace_files(workspace)
+    return WorkspaceFilesResponse.model_validate(result, strict=False)
--- a/backend/api/runtime.py
+++ b/backend/api/runtime.py
@@ -389,11 +389,21 @@ def _find_available_port(start_port: int = 8765, max_port: int = 9000) -> int:


 def _is_gateway_running() -> bool:
-    """Check if Gateway process is running."""
+    """Check if Gateway process is running.
+
+    Checks both the internally-managed gateway process and falls back to
+    port availability (for externally-managed gateway processes).
+    """
    process = _runtime_state.gateway_process
-    if process is None:
+    if process is not None and process.poll() is None:
+        return True
+    # Fallback: check if the gateway port is in use (for externally started gateway)
+    import socket
+    try:
+        with socket.create_connection(("127.0.0.1", _runtime_state.gateway_port), timeout=1):
+            return True
+    except OSError:
        return False
-    return process.poll() is None


 def _stop_gateway() -> bool:
--- a/backend/apps/init.py
+++ b/backend/apps/init.py
@@ -5,6 +5,8 @@ from .agent_service import app as agent_app
 from .agent_service import create_app as create_agent_app
 from .news_service import app as news_app
 from .news_service import create_app as create_news_app
+from .openclaw_service import app as openclaw_app
+from .openclaw_service import create_app as create_openclaw_app
 from .runtime_service import app as runtime_app
 from .runtime_service import create_app as create_runtime_app
 from .trading_service import app as trading_app
@@ -21,6 +23,8 @@ __all__ = [
    "create_agent_app",
    "news_app",
    "create_news_app",
+    "openclaw_app",
+    "create_openclaw_app",
    "runtime_app",
    "create_runtime_app",
    "trading_app",
--- a/backend/apps/agent_service.py
+++ b/backend/apps/agent_service.py
@@ -33,17 +33,17 @@ def create_app(project_root: Path | None = None) -> FastAPI:
        agent_factory.workspaces_root.mkdir(parents=True, exist_ok=True)

        registry = get_registry()
-        print("✓ EvoTraders API started")
+        print("✓ 大时代 API started")
        print(f"  - Workspaces root: {agent_factory.workspaces_root}")
        print(f"  - Registered agents: {registry.get_agent_count()}")

        yield

-        print("✓ EvoTraders API shutting down")
+        print("✓ 大时代 API shutting down")

    app = FastAPI(
-        title="EvoTraders Agent Service",
-        description="REST API for the EvoTraders multi-agent control plane",
+        title="大时代 Agent Service",
+        description="REST API for the 大时代 multi-agent control plane",
        version="0.1.0",
        lifespan=lifespan,
    )
--- a/backend/apps/news_service.py
+++ b/backend/apps/news_service.py
@@ -20,7 +20,7 @@ def get_market_store() -> MarketStore:
 def create_app() -> FastAPI:
    """Create the news/explain service app."""
    app = FastAPI(
-        title="EvoTraders News Service",
+        title="大时代 News Service",
        description="Read-only news enrichment and explain service surface extracted from the monolith",
        version="0.1.0",
    )
--- a/backend/apps/openclaw_service.py
+++ b/backend/apps/openclaw_service.py
@@ -0,0 +1,49 @@
+# -*- coding: utf-8 -*-
+"""Read-only OpenClaw CLI FastAPI surface."""
+
+from __future__ import annotations
+
+from fastapi import Depends, FastAPI
+
+from backend.api import openclaw_router
+from backend.apps.cors import add_cors_middleware
+from backend.api.openclaw import get_openclaw_cli_service
+
+
+def create_app() -> FastAPI:
+    """Create the OpenClaw service app."""
+    app = FastAPI(
+        title="大时代 OpenClaw Service",
+        description="Read-only OpenClaw CLI integration service surface",
+        version="0.1.0",
+    )
+
+    add_cors_middleware(app)
+
+    @app.get("/health")
+    async def health_check(
+        service=Depends(get_openclaw_cli_service),
+    ) -> dict[str, object]:
+        return service.health()
+
+    @app.get("/api/status")
+    async def api_status(
+        service=Depends(get_openclaw_cli_service),
+    ) -> dict[str, object]:
+        return {
+            "status": "operational",
+            "service": "openclaw-service",
+            "openclaw": service.health(),
+        }
+
+    app.include_router(openclaw_router)
+    return app
+
+
+app = create_app()
+
+
+if __name__ == "__main__":
+    import uvicorn
+
+    uvicorn.run(app, host="0.0.0.0", port=8004)
--- a/backend/apps/runtime_service.py
+++ b/backend/apps/runtime_service.py
@@ -13,7 +13,7 @@ from backend.apps.cors import add_cors_middleware
 def create_app() -> FastAPI:
    """Create the runtime service app."""
    app = FastAPI(
-        title="EvoTraders Runtime Service",
+        title="大时代 Runtime Service",
        description="Runtime lifecycle and gateway service surface extracted from the monolith",
        version="0.1.0",
    )
--- a/backend/apps/trading_service.py
+++ b/backend/apps/trading_service.py
@@ -21,7 +21,7 @@ from shared.schema import (
 def create_app() -> FastAPI:
    """Create the trading data service app."""
    app = FastAPI(
-        title="EvoTraders Trading Service",
+        title="大时代 Trading Service",
        description="Read-only trading data service surface extracted from the monolith",
        version="0.1.0",
    )
--- a/backend/cli.py
+++ b/backend/cli.py
@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*-
 """
-EvoTraders CLI - Command-line interface for the EvoTraders trading system.
+大时代 CLI - Command-line interface for the 大时代 trading system.

 This module provides easy-to-use commands for running backtest, live trading,
 and frontend development server.
@@ -44,7 +44,7 @@ from backend.enrich.news_enricher import enrich_symbols

 app = typer.Typer(
    name="evotraders",
-    help="EvoTraders: A self-evolving multi-agent trading system",
+    help="大时代：自进化多智能体交易系统",
    add_completion=False,
 )
 ingest_app = typer.Typer(help="Ingest Polygon market data into the research warehouse.")
@@ -919,7 +919,7 @@ def backtest(
    """
    console.print(
        Panel.fit(
-            "[bold cyan]EvoTraders Backtest Mode[/bold cyan]",
+            "[bold cyan]大时代 Backtest Mode[/bold cyan]",
            border_style="cyan",
        ),
    )
@@ -1082,7 +1082,7 @@ def live(
    interval_minutes = int(_normalize_typer_value(interval_minutes, 60))
    console.print(
        Panel.fit(
-            "[bold cyan]EvoTraders LIVE Mode[/bold cyan]",
+            "[bold cyan]大时代 LIVE Mode[/bold cyan]",
            border_style="cyan",
        ),
    )
@@ -1251,7 +1251,7 @@ def frontend(
    """
    console.print(
        Panel.fit(
-            "[bold cyan]EvoTraders Frontend[/bold cyan]",
+            "[bold cyan]大时代 Frontend[/bold cyan]",
            border_style="cyan",
        ),
    )
@@ -1319,16 +1319,16 @@ def frontend(

@app.command()
 def version():
-    """Show the version of EvoTraders."""
+    """Show the version of 大时代."""
    console.print(
-        "\n[bold cyan]EvoTraders[/bold cyan] version [green]0.1.0[/green]\n",
+        "\n[bold cyan]大时代[/bold cyan] version [green]0.1.0[/green]\n",
    )


@app.callback()
 def main():
    """
-    EvoTraders: A self-evolving multi-agent trading system
+    大时代：自进化多智能体交易系统

    Use 'evotraders --help' to see available commands.
    """
--- a/backend/config/bootstrap_config.py
+++ b/backend/config/bootstrap_config.py
@@ -4,6 +4,22 @@
 from dataclasses import dataclass, field
 from pathlib import Path
 from typing import Any, Dict
+
+
+DEFAULT_TICKERS = [
+    "AAPL",
+    "MSFT",
+    "GOOGL",
+    "AMZN",
+    "NVDA",
+    "META",
+    "TSLA",
+    "AMD",
+    "NFLX",
+    "AVGO",
+    "PLTR",
+    "COIN",
+]
 import re

 import yaml
@@ -127,7 +143,7 @@ def resolve_runtime_config(
    bootstrap = get_bootstrap_config_for_run(project_root, config_name)
    return {
        "tickers": bootstrap.get("tickers")
-        or get_env_list("TICKERS", ["AAPL", "MSFT"]),
+        or get_env_list("TICKERS", DEFAULT_TICKERS),
        "initial_cash": float(
            bootstrap.get(
                "initial_cash",
--- a/backend/core/pipeline.py
+++ b/backend/core/pipeline.py
@@ -18,7 +18,6 @@ from agentscope.message import Msg
 from agentscope.pipeline import MsgHub

 from backend.utils.settlement import SettlementCoordinator
-from backend.utils.terminal_dashboard import get_dashboard
 from backend.core.state_sync import StateSync
 from backend.utils.trade_executor import PortfolioTradeExecutor
 from backend.runtime.manager import TradingRuntimeManager
@@ -48,13 +47,9 @@ except ImportError:
 logger = logging.getLogger(__name__)


-def _log(msg: str):
-    """Log to dashboard if available, otherwise to logger"""
-    dashboard = get_dashboard()
-    if dashboard.live:
-        dashboard.log(msg)
-    else:
-        logger.info(msg)
+def _log(msg: str) -> None:
+    """Helper function for pipeline logging."""
+    logger.info(msg)


 class TradingPipeline:
@@ -71,7 +66,7 @@ class TradingPipeline:

    Real-time updates via StateSync after each agent completes.

-    Supports both legacy agent lists and new workspace-based agent loading.
+    Supports both legacy agent lists and run-scoped agent loading.
    """

    def __init__(
@@ -1625,14 +1620,13 @@ class TradingPipeline:
        project_root = Path(__file__).resolve().parents[2]
        personas = get_prompt_loader().load_yaml_config("analyst", "personas")
        persona = personas.get(analyst_type, {})
-        WorkspaceManager(project_root=project_root).ensure_agent_assets(
+        workspace_manager = WorkspaceManager(project_root=project_root)
+        workspace_manager.ensure_agent_assets(
            config_name=config_name,
            agent_id=agent_id,
-            role_seed=persona.get("description", "").strip(),
-            style_seed="\n".join(f"- {item}" for item in persona.get("focus", [])),
-            policy_seed=(
-                "State a clear signal, confidence, and the conditions "
-                "that would invalidate the thesis."
+            file_contents=workspace_manager.build_default_agent_files(
+                agent_id=agent_id,
+                persona=persona,
            ),
        )

--- a/backend/core/pipeline_runner.py
+++ b/backend/core/pipeline_runner.py
@@ -232,7 +232,7 @@ async def run_pipeline(

    try:
        # Extract config values
-        tickers = bootstrap.get("tickers", ["AAPL", "MSFT"])
+        tickers = bootstrap.get("tickers", ["AAPL", "MSFT", "GOOGL", "AMZN", "NVDA", "META", "TSLA", "AMD", "NFLX", "AVGO", "PLTR", "COIN"])
        initial_cash = float(bootstrap.get("initial_cash", 100000.0))
        margin_requirement = float(bootstrap.get("margin_requirement", 0.0))
        max_comm_cycles = int(bootstrap.get("max_comm_cycles", 2))
--- a/backend/data/market_ingest.py
+++ b/backend/data/market_ingest.py
@@ -25,6 +25,36 @@ def _default_start(years: int = 2) -> str:
    return (datetime.now(timezone.utc).date() - timedelta(days=years * 366)).isoformat()


+def _max_news_date(news_rows: Iterable[dict]) -> str | None:
+    dates = [
+        str(item.get("published_utc") or "").strip()[:10]
+        for item in news_rows
+        if str(item.get("published_utc") or "").strip()
+    ]
+    dates = [value for value in dates if value]
+    return max(dates) if dates else None
+
+
+def _effective_last_news_fetch(
+    market_store: MarketStore,
+    *,
+    ticker: str,
+    end_date: str,
+    watermark_value: str | None,
+) -> str | None:
+    """Clamp stale/future watermarks to the latest actually stored news date."""
+    raw = str(watermark_value or "").strip()[:10]
+    if not raw:
+        return None
+    if raw <= end_date:
+        return raw
+
+    latest_stored = market_store.get_latest_news_date(ticker)
+    if latest_stored and latest_stored <= end_date:
+        return latest_stored
+    return end_date
+
+
 def _normalize_provider_news_rows(ticker: str, news_items: Iterable[Any]) -> list[dict]:
    rows: list[dict] = []
    for item in news_items:
@@ -80,7 +110,11 @@ def ingest_ticker_history(
    price_count = market_store.upsert_ohlc(ticker, ohlc_rows, source="polygon")
    news_count = market_store.upsert_news(ticker, news_rows, source="polygon")
    aligned_count = align_news_for_symbol(market_store, ticker)
-    market_store.update_fetch_watermark(symbol=ticker, price_date=end, news_date=end)
+    market_store.update_fetch_watermark(
+        symbol=ticker,
+        price_date=end,
+        news_date=_max_news_date(news_rows),
+    )

    return {
        "symbol": ticker,
@@ -108,9 +142,15 @@ def update_ticker_incremental(
        if watermarks.get("last_price_fetch")
        else _default_start()
    )
+    effective_last_news_fetch = _effective_last_news_fetch(
+        market_store,
+        ticker=ticker,
+        end_date=end,
+        watermark_value=watermarks.get("last_news_fetch"),
+    )
    start_news = (
-        (datetime.fromisoformat(watermarks["last_news_fetch"]) + timedelta(days=1)).date().isoformat()
-        if watermarks.get("last_news_fetch")
+        (datetime.fromisoformat(effective_last_news_fetch) + timedelta(days=1)).date().isoformat()
+        if effective_last_news_fetch
        else _default_start()
    )

@@ -130,7 +170,7 @@ def update_ticker_incremental(
    market_store.update_fetch_watermark(
        symbol=ticker,
        price_date=end if ohlc_rows or watermarks.get("last_price_fetch") else None,
-        news_date=end if news_rows or watermarks.get("last_news_fetch") else None,
+        news_date=_max_news_date(news_rows),
    )

    return {
@@ -155,9 +195,15 @@ def refresh_news_incremental(
    market_store = store or MarketStore()
    watermarks = market_store.get_ticker_watermarks(ticker)
    end = end_date or _today_utc()
+    effective_last_news_fetch = _effective_last_news_fetch(
+        market_store,
+        ticker=ticker,
+        end_date=end,
+        watermark_value=watermarks.get("last_news_fetch"),
+    )
    start_news = (
-        (datetime.fromisoformat(watermarks["last_news_fetch"]) + timedelta(days=1)).date().isoformat()
-        if watermarks.get("last_news_fetch")
+        (datetime.fromisoformat(effective_last_news_fetch) + timedelta(days=1)).date().isoformat()
+        if effective_last_news_fetch
        else _default_start()
    )

@@ -182,7 +228,7 @@ def refresh_news_incremental(
    aligned_count = align_news_for_symbol(market_store, ticker)
    market_store.update_fetch_watermark(
        symbol=ticker,
-        news_date=end if news_rows or watermarks.get("last_news_fetch") else None,
+        news_date=_max_news_date(news_rows),
    )

    return {
--- a/backend/data/market_store.py
+++ b/backend/data/market_store.py
@@ -244,6 +244,20 @@ class MarketStore:
            "last_news_fetch": None,
        }

+    def get_latest_news_date(self, symbol: str) -> str | None:
+        """Return the latest stored published news date for one ticker."""
+        with self._connect() as conn:
+            row = conn.execute(
+                """
+                SELECT MAX(substr(nr.published_utc, 1, 10)) AS latest_date
+                FROM news_ticker nt
+                JOIN news_raw nr ON nr.id = nt.news_id
+                WHERE nt.symbol = ?
+                """,
+                (symbol,),
+            ).fetchone()
+        return str(row["latest_date"]).strip() if row and row["latest_date"] else None
+
    def upsert_ohlc(self, symbol: str, rows: Iterable[dict[str, Any]], *, source: str = "polygon") -> int:
        timestamp = _utc_timestamp()
        count = 0
--- a/backend/gateway_server.py
+++ b/backend/gateway_server.py
@@ -48,7 +48,6 @@ INFO_LOGGER_PREFIXES = (
    "backend.core.pipeline",
    "backend.core.scheduler",
    "backend.services.gateway_cycle_support",
-    "backend.utils.terminal_dashboard",
 )

 NOISY_LOGGER_LEVELS = {
@@ -72,14 +71,16 @@ class SuppressNoisyInfoFilter(logging.Filter):
    """Filter out low-signal library INFO logs while keeping warnings/errors."""

    def filter(self, record: logging.LogRecord) -> bool:
-        if record.levelno >= logging.WARNING:
-            return True
-
        message = record.getMessage()
        if record.name == "httpx" and message.startswith("HTTP Request:"):
            return False
        if record.name.startswith("websockets") and "connection open" in message:
            return False
+        if record.name.startswith("websockets") and "opening handshake failed" in message:
+            return False
+
+        if record.levelno >= logging.WARNING:
+            return True

        return True

@@ -117,7 +118,7 @@ async def run_gateway(
    """Run Gateway with Pipeline."""

    # Extract config
-    tickers = bootstrap.get("tickers", ["AAPL", "MSFT"])
+    tickers = bootstrap.get("tickers", ["AAPL", "MSFT", "GOOGL", "AMZN", "NVDA", "META", "TSLA", "AMD", "NFLX", "AVGO", "PLTR", "COIN"])
    initial_cash = float(bootstrap.get("initial_cash", 100000.0))
    margin_requirement = float(bootstrap.get("margin_requirement", 0.0))
    max_comm_cycles = int(bootstrap.get("max_comm_cycles", 2))
--- a/backend/main.py
+++ b/backend/main.py
@@ -29,6 +29,7 @@ from backend.runtime.manager import (
    set_global_runtime_manager,
    clear_global_runtime_manager,
 )
+from backend.gateway_server import configure_gateway_logging
 from backend.services.gateway import Gateway
 from backend.services.market import MarketService
 from backend.services.storage import StorageService
@@ -38,6 +39,7 @@ load_dotenv()
 logger = logging.getLogger(__name__)
 loguru.logger.disable("flowllm")
 loguru.logger.disable("reme_ai")
+configure_gateway_logging(verbose=os.getenv("LOG_LEVEL", "").upper() == "DEBUG")
 _prompt_loader = get_prompt_loader()


--- a/backend/services/gateway.py
+++ b/backend/services/gateway.py
@@ -16,7 +16,6 @@ from websockets.asyncio.server import ServerConnection
 from backend.data.provider_utils import normalize_symbol
 from backend.domains import news as news_domain
 from backend.llm.models import get_agent_model_info
-from backend.utils.terminal_dashboard import get_dashboard
 from backend.core.pipeline import TradingPipeline
 from backend.core.state_sync import StateSync
 from backend.services.market import MarketService
@@ -26,10 +25,12 @@ from backend.tools.technical_signals import StockTechnicalAnalyzer
 from backend.core.scheduler import Scheduler
 from backend.services import gateway_admin_handlers
 from backend.services import gateway_cycle_support
+from backend.services import gateway_openclaw_handlers
 from backend.services import gateway_runtime_support
 from backend.services import gateway_stock_handlers
 from shared.client import NewsServiceClient
 from shared.client import TradingServiceClient
+from shared.client.openclaw_websocket_client import OpenClawWebSocketClient, DEFAULT_GATEWAY_URL as OPENCLAW_WS_URL

 logger = logging.getLogger(__name__)
 EDITABLE_AGENT_WORKSPACE_FILES = {
@@ -38,9 +39,6 @@ EDITABLE_AGENT_WORKSPACE_FILES = {
    "AGENTS.md",
    "MEMORY.md",
    "POLICY.md",
-    "HEARTBEAT.md",
-    "ROLE.md",
-    "STYLE.md",
 }


@@ -82,7 +80,6 @@ class Gateway:
        self._manual_cycle_task: Optional[asyncio.Task] = None
        self._backtest_start_date: Optional[str] = None
        self._backtest_end_date: Optional[str] = None
-        self._dashboard = get_dashboard()
        self._market_status_task: Optional[asyncio.Task] = None
        self._watchlist_ingest_task: Optional[asyncio.Task] = None

@@ -92,6 +89,7 @@ class Gateway:
        self._loop: Optional[asyncio.AbstractEventLoop] = None
        self._project_root = Path(__file__).resolve().parents[2]
        self._technical_analyzer = StockTechnicalAnalyzer()
+        self._openclaw_ws: OpenClawWebSocketClient | None = None

    async def start(self, host: str = "0.0.0.0", port: int = 8766):
        """Start gateway server with proper initialization order.
@@ -104,21 +102,6 @@ class Gateway:
        self._loop = asyncio.get_running_loop()
        self._provider_router.add_listener(self._on_provider_usage_changed)

-        # Initialize terminal dashboard
-        self._dashboard.set_config(
-            mode=self.mode,
-            config_name=self.config.get("config_name", "default"),
-            host=host,
-            port=port,
-            poll_interval=self.config.get("poll_interval", 10),
-            tickers=self.config.get("tickers", []),
-            initial_cash=self.storage.initial_cash,
-            start_date=self._backtest_start_date or "",
-            end_date=self._backtest_end_date or "",
-            data_sources=self._provider_router.get_usage_snapshot(),
-        )
-        self._dashboard.start()
-
        self.state_sync.load_state()
        self.market_service.set_price_recorder(self.storage.record_price_point)
        self.state_sync.update_state("status", "initializing")
@@ -150,16 +133,6 @@ class Gateway:
        dashboard_snapshot = self.storage.build_dashboard_snapshot_from_state(self.state_sync.state)
        summary = dashboard_snapshot.get("summary")
        if summary:
-            holdings = dashboard_snapshot.get("holdings") or []
-            trades = dashboard_snapshot.get("trades") or []
-            current_date = self.state_sync.state.get("current_date")
-            self._dashboard.update(
-                date=current_date or "-",
-                status="running",
-                portfolio=summary,
-                holdings=holdings,
-                trades=trades,
-            )
            logger.info(
                "Loaded existing portfolio: $%s",
                f"{summary.get('totalAssetValue', 0):,.2f}",
@@ -185,6 +158,20 @@ class Gateway:
        # Give a brief moment for any existing clients to reconnect
        await asyncio.sleep(0.1)

+        # Connect to OpenClaw Gateway (18789) via WebSocket
+        logger.info("Connecting to OpenClaw Gateway...")
+        try:
+            self._openclaw_ws = OpenClawWebSocketClient(
+                url=OPENCLAW_WS_URL,
+                client_name="gateway-client",
+                client_version="1.0.0",
+            )
+            await self._openclaw_ws.connect()
+            logger.info("OpenClaw Gateway WebSocket connected")
+        except Exception as e:
+            logger.warning("Failed to connect to OpenClaw Gateway: %s", e)
+            self._openclaw_ws = None
+
        # ======================================================================
        # PHASE 2: Start market data service
        # Now frontend is connected, start pushing price updates
@@ -235,7 +222,6 @@ class Gateway:
    def _on_provider_usage_changed(self, snapshot: Dict[str, Any]):
        """Handle provider routing updates from the shared router."""
        self.state_sync.update_state("data_sources", snapshot)
-        self._dashboard.update(data_sources=snapshot)
        if self._loop and self._loop.is_running():
            asyncio.run_coroutine_threadsafe(
                self.broadcast(
@@ -434,11 +420,77 @@ class Gateway:
                    await self._handle_get_stock_technical_indicators(websocket, data)
                elif msg_type == "run_stock_enrich":
                    await self._handle_run_stock_enrich(websocket, data)
+                elif msg_type == "get_openclaw_status":
+                    await self._handle_get_openclaw_status(websocket, data)
+                elif msg_type == "get_openclaw_sessions":
+                    await self._handle_get_openclaw_sessions(websocket, data)
+                elif msg_type == "get_openclaw_session_detail":
+                    await self._handle_get_openclaw_session_detail(websocket, data)
+                elif msg_type == "get_openclaw_session_history":
+                    await self._handle_get_openclaw_session_history(websocket, data)
+                elif msg_type == "get_openclaw_cron":
+                    await self._handle_get_openclaw_cron(websocket, data)
+                elif msg_type == "get_openclaw_approvals":
+                    await self._handle_get_openclaw_approvals(websocket, data)
+                elif msg_type == "get_openclaw_agents":
+                    await self._handle_get_openclaw_agents(websocket, data)
+                elif msg_type == "get_openclaw_agents_presence":
+                    await self._handle_get_openclaw_agents_presence(websocket, data)
+                elif msg_type == "get_openclaw_skills":
+                    await self._handle_get_openclaw_skills(websocket, data)
+                elif msg_type == "get_openclaw_models":
+                    await self._handle_get_openclaw_models(websocket, data)
+                elif msg_type == "get_openclaw_hooks":
+                    await gateway_openclaw_handlers.handle_get_openclaw_hooks(self, websocket, data)
+                elif msg_type == "get_openclaw_plugins":
+                    await gateway_openclaw_handlers.handle_get_openclaw_plugins(self, websocket, data)
+                elif msg_type == "get_openclaw_secrets_audit":
+                    await gateway_openclaw_handlers.handle_get_openclaw_secrets_audit(self, websocket, data)
+                elif msg_type == "get_openclaw_security_audit":
+                    await gateway_openclaw_handlers.handle_get_openclaw_security_audit(self, websocket, data)
+                elif msg_type == "get_openclaw_daemon_status":
+                    await gateway_openclaw_handlers.handle_get_openclaw_daemon_status(self, websocket, data)
+                elif msg_type == "get_openclaw_pairing":
+                    await gateway_openclaw_handlers.handle_get_openclaw_pairing(self, websocket, data)
+                elif msg_type == "get_openclaw_qr":
+                    await gateway_openclaw_handlers.handle_get_openclaw_qr(self, websocket, data)
+                elif msg_type == "get_openclaw_update_status":
+                    await gateway_openclaw_handlers.handle_get_openclaw_update_status(self, websocket, data)
+                elif msg_type == "get_openclaw_models_aliases":
+                    await gateway_openclaw_handlers.handle_get_openclaw_models_aliases(self, websocket, data)
+                elif msg_type == "get_openclaw_models_fallbacks":
+                    await gateway_openclaw_handlers.handle_get_openclaw_models_fallbacks(self, websocket, data)
+                elif msg_type == "get_openclaw_models_image_fallbacks":
+                    await gateway_openclaw_handlers.handle_get_openclaw_models_image_fallbacks(self, websocket, data)
+                elif msg_type == "get_openclaw_skill_update":
+                    await gateway_openclaw_handlers.handle_get_openclaw_skill_update(self, websocket, data)
+                elif msg_type == "get_openclaw_workspace_files":
+                    await gateway_openclaw_handlers.handle_get_openclaw_workspace_files(self, websocket, data)
+                elif msg_type == "get_openclaw_workspace_file":
+                    await gateway_openclaw_handlers.handle_get_openclaw_workspace_file(self, websocket, data)
+                elif msg_type == "openclaw_resolve_session":
+                    await gateway_openclaw_handlers.handle_openclaw_resolve_session(self, websocket, data)
+                elif msg_type == "openclaw_create_session":
+                    await gateway_openclaw_handlers.handle_openclaw_create_session(self, websocket, data)
+                elif msg_type == "openclaw_send_message":
+                    await gateway_openclaw_handlers.handle_openclaw_send_message(self, websocket, data)
+                elif msg_type == "openclaw_subscribe_session":
+                    await gateway_openclaw_handlers.handle_openclaw_subscribe_session(self, websocket, data)
+                elif msg_type == "openclaw_unsubscribe_session":
+                    await gateway_openclaw_handlers.handle_openclaw_unsubscribe_session(self, websocket, data)
+                elif msg_type == "openclaw_reset_session":
+                    await gateway_openclaw_handlers.handle_openclaw_reset_session(self, websocket, data)
+                elif msg_type == "openclaw_delete_session":
+                    await gateway_openclaw_handlers.handle_openclaw_delete_session(self, websocket, data)

        except websockets.ConnectionClosed:
            pass
        except json.JSONDecodeError:
            pass
+        finally:
+            subscriber_map = getattr(self, "_openclaw_session_subscribers", None)
+            if isinstance(subscriber_map, dict):
+                subscriber_map.pop(websocket, None)

    async def _handle_get_stock_history(
        self,
@@ -669,6 +721,83 @@ class Gateway:
    ) -> None:
        await gateway_admin_handlers.handle_update_agent_workspace_file(self, websocket, data)

+    async def _handle_get_openclaw_status(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_status(self, websocket, data)
+
+    async def _handle_get_openclaw_sessions(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_sessions(self, websocket, data)
+
+    async def _handle_get_openclaw_session_detail(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_session_detail(self, websocket, data)
+
+    async def _handle_get_openclaw_session_history(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_session_history(self, websocket, data)
+
+    async def _handle_get_openclaw_cron(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_cron(self, websocket, data)
+
+    async def _handle_get_openclaw_approvals(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_approvals(self, websocket, data)
+
+    async def _handle_get_openclaw_agents(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_agents(self, websocket, data)
+
+    async def _handle_get_openclaw_agents_presence(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_agents_presence(self, websocket, data)
+
+    async def _handle_get_openclaw_skills(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_skills(self, websocket, data)
+
+    async def _handle_get_openclaw_models(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_models(self, websocket, data)
+
+    async def _handle_get_openclaw_workspace_files(
+        self,
+        websocket: ServerConnection,
+        data: Dict[str, Any],
+    ) -> None:
+        await gateway_openclaw_handlers.handle_get_openclaw_workspace_files(self, websocket, data)
+
    @staticmethod
    def _normalize_watchlist(raw_tickers: Any) -> List[str]:
        return gateway_runtime_support.normalize_watchlist(raw_tickers)
--- a/backend/services/gateway_cycle_support.py
+++ b/backend/services/gateway_cycle_support.py
@@ -147,25 +147,10 @@ async def on_heartbeat_trigger(gateway: Any, date: str) -> None:

    for analyst in analysts:
        try:
-            ws_id = getattr(analyst, "workspace_id", None)
-            if ws_id:
-                from backend.agents.workspace_manager import get_workspace_dir
-                from pathlib import Path
-                from agentscope.message import Msg
-
-                ws_dir = get_workspace_dir(ws_id)
-                if ws_dir:
-                    hb_path = Path(ws_dir) / "HEARTBEAT.md"
-                    if hb_path.exists():
-                        content = hb_path.read_text(encoding="utf-8").strip()
-                        if content:
-                            hb_task = f"# 定期主动检查\n\n{content}\n\n请执行上述检查并报告结果。"
-                            logger.info("[Heartbeat] Running heartbeat for %s", analyst.name)
-                            msg = Msg(role="user", content=hb_task, name="system")
-                            await analyst.reply([msg])
-                            logger.info("[Heartbeat] %s heartbeat complete", analyst.name)
-                            continue
-            logger.debug("[Heartbeat] No HEARTBEAT.md for %s, skipping", analyst.name)
+            logger.debug(
+                "[Heartbeat] No heartbeat configured for %s, skipping",
+                analyst.name,
+            )
        except Exception as exc:
            logger.error("[Heartbeat] %s failed: %s", analyst.name, exc, exc_info=True)

@@ -175,7 +160,6 @@ async def run_backtest_cycle(gateway: Any, date: str, tickers: list[str]) -> Non
    await gateway.market_service.emit_market_open()

    await gateway.state_sync.on_cycle_start(date)
-    gateway._dashboard.update(date=date, status="Analyzing...")

    prices = gateway.market_service.get_open_prices()
    close_prices = gateway.market_service.get_close_prices()
@@ -218,7 +202,6 @@ async def run_live_cycle(gateway: Any, date: str, tickers: list[str]) -> None:
        logger.warning("Live cycle news refresh failed: %s", exc)

    await gateway.state_sync.on_cycle_start(trading_date)
-    gateway._dashboard.update(date=trading_date, status="Analyzing...")

    market_caps = await get_market_caps(gateway, tickers, trading_date)
    schedule_mode = gateway.config.get("schedule_mode", "daily")
@@ -263,12 +246,9 @@ async def finalize_cycle(gateway: Any, date: str) -> None:
        summary.update(gateway.storage.get_live_returns())

    await gateway.state_sync.on_cycle_end(date, portfolio_summary=summary)
-    holdings = dashboard_snapshot.get("holdings") or []
-    trades = dashboard_snapshot.get("trades") or []
    leaderboard = dashboard_snapshot.get("leaderboard") or []
    if leaderboard:
        await gateway.state_sync.on_leaderboard_update(leaderboard)
-    gateway._dashboard.update(date=date, status="Running", portfolio=summary, holdings=holdings, trades=trades)


 async def get_market_caps(gateway: Any, tickers: list[str], date: str) -> dict[str, float]:
@@ -329,24 +309,16 @@ def save_cycle_results(

 async def run_backtest_dates(gateway: Any, dates: list[str]) -> None:
    gateway.state_sync.set_backtest_dates(dates)
-    gateway._dashboard.update(days_total=len(dates), days_completed=0)
    await gateway.state_sync.on_system_message(f"Starting backtest - {len(dates)} trading days")
    try:
-        for i, date in enumerate(dates):
-            gateway._dashboard.update(days_completed=i)
+        for date in dates:
            await gateway.on_strategy_trigger(date=date)
            await asyncio.sleep(0.1)
        await gateway.state_sync.on_system_message(f"Backtest complete - {len(dates)} days")
-        summary = gateway.storage.build_dashboard_snapshot_from_state(gateway.state_sync.state).get("summary") or {}
-        gateway._dashboard.update(status="Complete", portfolio=summary, days_completed=len(dates))
-        gateway._dashboard.stop()
-        gateway._dashboard.print_final_summary()
    except Exception as exc:
        error_msg = f"Backtest failed: {type(exc).__name__}: {str(exc)}"
        logger.error(error_msg, exc_info=True)
        asyncio.create_task(gateway.state_sync.on_system_message(error_msg))
-        gateway._dashboard.update(status=f"Failed: {str(exc)}")
-        gateway._dashboard.stop()
        raise
    finally:
        gateway._backtest_task = None
@@ -376,7 +348,6 @@ def set_backtest_dates(gateway: Any, dates: list[str]) -> None:
    if dates:
        gateway._backtest_start_date = dates[0]
        gateway._backtest_end_date = dates[-1]
-        gateway._dashboard.days_total = len(dates)


 def stop_gateway(gateway: Any) -> None:
@@ -388,4 +359,14 @@ def stop_gateway(gateway: Any) -> None:
        gateway._market_status_task.cancel()
    if gateway._watchlist_ingest_task:
        gateway._watchlist_ingest_task.cancel()
-    gateway._dashboard.stop()
+    # Close OpenClaw WebSocket connection
+    if gateway._openclaw_ws:
+        import asyncio
+        try:
+            loop = asyncio.get_event_loop()
+            if loop.is_running():
+                loop.create_task(gateway._openclaw_ws.disconnect())
+            else:
+                loop.run_until_complete(gateway._openclaw_ws.disconnect())
+        except Exception:
+            pass
--- a/backend/services/gateway_openclaw_handlers.py
+++ b/backend/services/gateway_openclaw_handlers.py
@@ -0,0 +1,534 @@
+# -*- coding: utf-8 -*-
+"""OpenClaw WebSocket handlers — gateway calls OpenClaw Gateway via WebSocket."""
+
+from __future__ import annotations
+
+import json
+import logging
+from typing import TYPE_CHECKING
+
+if TYPE_CHECKING:
+    from backend.services.gateway import Gateway
+
+logger = logging.getLogger(__name__)
+
+
+def _ensure_session_bridge(gateway) -> None:
+    """Forward OpenClaw session events into 大时代 frontend websockets."""
+    if getattr(gateway, "_openclaw_session_bridge_ready", False):
+        return
+
+    async def _forward(event) -> None:
+        payload = event.payload or {}
+        session_key = str(payload.get("sessionKey") or payload.get("key") or "").strip()
+        if not session_key:
+            return
+
+        subscriber_map = getattr(gateway, "_openclaw_session_subscribers", {})
+        targets = [
+            ws
+            for ws, session_keys in list(subscriber_map.items())
+            if session_key in session_keys
+        ]
+        if not targets:
+            return
+
+        message = json.dumps(
+            {
+                "type": "openclaw_session_event",
+                "event": event.event,
+                "session_key": session_key,
+                "payload": payload,
+            }
+        )
+        stale = []
+        for ws in targets:
+            try:
+                await ws.send(message)
+            except Exception:
+                stale.append(ws)
+
+        for ws in stale:
+            try:
+                subscriber_map.pop(ws, None)
+            except Exception:
+                pass
+
+    def _handler(event) -> None:
+        try:
+            import asyncio
+
+            asyncio.create_task(_forward(event))
+        except Exception as exc:
+            logger.debug("OpenClaw session bridge skipped event: %s", exc)
+
+    client = _get_ws_client(gateway)
+    client.add_event_handler(_handler)
+    gateway._openclaw_session_bridge_ready = True
+    gateway._openclaw_session_bridge_handler = _handler
+    if not hasattr(gateway, "_openclaw_session_subscribers"):
+        gateway._openclaw_session_subscribers = {}
+
+
+def _get_ws_client(gateway) -> "OpenClawWebSocketClient":
+    """Get the OpenClaw WebSocket client from gateway."""
+    from shared.client.openclaw_websocket_client import OpenClawWebSocketClient
+    client = gateway._openclaw_ws
+    if client is None:
+        raise RuntimeError("OpenClaw Gateway not connected")
+    return client
+
+
+async def _ws_call(gateway, method: str, params: dict | None = None) -> dict:
+    """Call OpenClaw Gateway via WebSocket and return result."""
+    try:
+        client = _get_ws_client(gateway)
+        return await client.call_method(method, params)
+    except Exception as exc:
+        logger.warning("OpenClaw Gateway call failed for %s: %s", method, exc)
+        return {"error": str(exc)[:200]}
+
+
+async def handle_get_openclaw_status(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "status")
+    await websocket.send(json.dumps({"type": "openclaw_status_loaded", "data": result}))
+
+
+async def handle_get_openclaw_sessions(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "sessions.list", {"limit": 50, "includeLastMessage": True})
+    await websocket.send(json.dumps({"type": "openclaw_sessions_loaded", "data": result}))
+
+
+async def handle_get_openclaw_session_detail(gateway, websocket, data: dict) -> None:
+    session_key = data.get("session_key", "")
+    result = await _ws_call(gateway, "sessions.list", {"limit": 200, "includeLastMessage": True})
+    session = None
+    if isinstance(result, dict):
+        for item in result.get("sessions", []) or []:
+            if not isinstance(item, dict):
+                continue
+            if item.get("key") == session_key or item.get("sessionKey") == session_key:
+                session = item
+                break
+    await websocket.send(json.dumps({
+        "type": "openclaw_session_detail_loaded",
+        "data": {"session": session, "error": None if session else f"session '{session_key}' not found"},
+        "session_key": session_key,
+    }))
+
+
+async def handle_get_openclaw_session_history(gateway, websocket, data: dict) -> None:
+    session_key = data.get("session_key", "")
+    limit = data.get("limit", 20)
+    try:
+        from backend.services.openclaw_cli import OpenClawCliService
+
+        result = OpenClawCliService().get_session_history_model(session_key, limit=limit)
+        payload = {
+            "session_key": result.session_key,
+            "session_id": result.session_id,
+            "history": result.events,
+            "events": result.events,
+            "raw_text": result.raw_text,
+        }
+    except Exception as exc:
+        payload = {"error": str(exc)[:200], "history": []}
+    await websocket.send(json.dumps({
+        "type": "openclaw_session_history_loaded",
+        "data": payload,
+        "session_key": session_key,
+    }))
+
+
+async def handle_openclaw_resolve_session(gateway, websocket, data: dict) -> None:
+    params = {}
+    agent_id = str(data.get("agent_id") or "").strip()
+    label = str(data.get("label") or "").strip()
+    channel = str(data.get("channel") or "").strip()
+    if agent_id:
+        params["agentId"] = agent_id
+    if label:
+        params["label"] = label
+    if channel:
+        params["channel"] = channel
+    params["includeGlobal"] = bool(data.get("include_global", True))
+    result = await _ws_call(gateway, "sessions.resolve", params)
+    await websocket.send(json.dumps({"type": "openclaw_session_resolved", "data": result}))
+
+
+async def handle_openclaw_create_session(gateway, websocket, data: dict) -> None:
+    params = {}
+    agent_id = str(data.get("agent_id") or "").strip()
+    label = str(data.get("label") or "").strip()
+    model = str(data.get("model") or "").strip()
+    initial_message = str(data.get("initial_message") or "").strip()
+    if agent_id:
+        params["agentId"] = agent_id
+    if label:
+        params["label"] = label
+    if model:
+        params["model"] = model
+    if initial_message:
+        params["message"] = initial_message
+    result = await _ws_call(gateway, "sessions.create", params)
+    await websocket.send(json.dumps({"type": "openclaw_session_created", "data": result}))
+
+
+async def handle_openclaw_send_message(gateway, websocket, data: dict) -> None:
+    session_key = str(data.get("session_key") or "").strip()
+    message = str(data.get("message") or "").strip()
+    thinking = str(data.get("thinking") or "").strip()
+    if not session_key or not message:
+        await websocket.send(
+            json.dumps(
+                {
+                    "type": "openclaw_message_sent",
+                    "data": {"error": "session_key and message are required"},
+                }
+            )
+        )
+        return
+
+    params = {"key": session_key, "message": message}
+    if thinking:
+        params["thinking"] = thinking
+    result = await _ws_call(gateway, "sessions.send", params)
+    await websocket.send(
+        json.dumps(
+            {
+                "type": "openclaw_message_sent",
+                "data": result,
+                "session_key": session_key,
+            }
+        )
+    )
+
+
+async def handle_openclaw_subscribe_session(gateway, websocket, data: dict) -> None:
+    session_key = str(data.get("session_key") or "").strip()
+    if not session_key:
+        await websocket.send(
+            json.dumps(
+                {
+                    "type": "openclaw_session_subscribed",
+                    "data": {"error": "session_key is required"},
+                }
+            )
+        )
+        return
+
+    _ensure_session_bridge(gateway)
+    result = await _ws_call(gateway, "sessions.messages.subscribe", {"key": session_key})
+    if not isinstance(result, dict) or not result.get("error"):
+        subscriber_map = getattr(gateway, "_openclaw_session_subscribers", {})
+        subscriber_map.setdefault(websocket, set()).add(session_key)
+        gateway._openclaw_session_subscribers = subscriber_map
+    await websocket.send(
+        json.dumps(
+            {
+                "type": "openclaw_session_subscribed",
+                "data": result,
+                "session_key": session_key,
+            }
+        )
+    )
+
+
+async def handle_openclaw_unsubscribe_session(gateway, websocket, data: dict) -> None:
+    session_key = str(data.get("session_key") or "").strip()
+    if not session_key:
+        await websocket.send(
+            json.dumps(
+                {
+                    "type": "openclaw_session_unsubscribed",
+                    "data": {"error": "session_key is required"},
+                }
+            )
+        )
+        return
+
+    result = await _ws_call(gateway, "sessions.messages.unsubscribe", {"key": session_key})
+    subscriber_map = getattr(gateway, "_openclaw_session_subscribers", {})
+    session_keys = subscriber_map.get(websocket)
+    if isinstance(session_keys, set):
+        session_keys.discard(session_key)
+        if not session_keys:
+            subscriber_map.pop(websocket, None)
+    gateway._openclaw_session_subscribers = subscriber_map
+    await websocket.send(
+        json.dumps(
+            {
+                "type": "openclaw_session_unsubscribed",
+                "data": result,
+                "session_key": session_key,
+            }
+        )
+    )
+
+
+async def handle_openclaw_reset_session(gateway, websocket, data: dict) -> None:
+    session_key = str(data.get("session_key") or "").strip()
+    if not session_key:
+        await websocket.send(
+            json.dumps(
+                {
+                    "type": "openclaw_session_reset",
+                    "data": {"error": "session_key is required"},
+                }
+            )
+        )
+        return
+
+    result = await _ws_call(gateway, "sessions.reset", {"key": session_key})
+    await websocket.send(
+        json.dumps(
+            {
+                "type": "openclaw_session_reset",
+                "data": result,
+                "session_key": session_key,
+            }
+        )
+    )
+
+
+async def handle_openclaw_delete_session(gateway, websocket, data: dict) -> None:
+    session_key = str(data.get("session_key") or "").strip()
+    if not session_key:
+        await websocket.send(
+            json.dumps(
+                {
+                    "type": "openclaw_session_deleted",
+                    "data": {"error": "session_key is required"},
+                }
+            )
+        )
+        return
+
+    result = await _ws_call(gateway, "sessions.delete", {"key": session_key})
+    await websocket.send(
+        json.dumps(
+            {
+                "type": "openclaw_session_deleted",
+                "data": result,
+                "session_key": session_key,
+            }
+        )
+    )
+
+
+async def handle_get_openclaw_cron(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "cron.list")
+    await websocket.send(json.dumps({"type": "openclaw_cron_loaded", "data": result}))
+
+
+async def handle_get_openclaw_approvals(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "exec.approvals.get")
+    await websocket.send(json.dumps({"type": "openclaw_approvals_loaded", "data": result}))
+
+
+async def handle_get_openclaw_agents(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "agents.list")
+    sessions_result = await _ws_call(
+        gateway,
+        "sessions.list",
+        {"limit": 200, "includeLastMessage": True},
+    )
+    config_result = await _ws_call(gateway, "config.get")
+    session_model_by_agent: dict[str, str] = {}
+    default_session_model: str | None = None
+    agent_skills_by_id: dict[str, list[str] | None] = {}
+    default_agent_skills: list[str] | None = None
+
+    parsed_config = config_result.get("parsed") if isinstance(config_result, dict) else None
+    if isinstance(parsed_config, dict):
+        agents_cfg = parsed_config.get("agents")
+        if isinstance(agents_cfg, dict):
+            defaults_cfg = agents_cfg.get("defaults")
+            if isinstance(defaults_cfg, dict):
+                default_skills = defaults_cfg.get("skills")
+                if isinstance(default_skills, list):
+                    default_agent_skills = [
+                        str(skill).strip()
+                        for skill in default_skills
+                        if str(skill).strip()
+                    ]
+            list_cfg = agents_cfg.get("list")
+            if isinstance(list_cfg, list):
+                for entry in list_cfg:
+                    if not isinstance(entry, dict):
+                        continue
+                    agent_id = str(entry.get("id") or "").strip()
+                    if not agent_id:
+                        continue
+                    skills = entry.get("skills")
+                    if isinstance(skills, list):
+                        agent_skills_by_id[agent_id] = [
+                            str(skill).strip()
+                            for skill in skills
+                            if str(skill).strip()
+                        ]
+                    elif skills == []:
+                        agent_skills_by_id[agent_id] = []
+
+    if isinstance(sessions_result, dict) and isinstance(sessions_result.get("sessions"), list):
+        defaults = sessions_result.get("defaults")
+        if isinstance(defaults, dict):
+            value = (
+                defaults.get("model")
+                or defaults.get("modelName")
+                or defaults.get("model_name")
+            )
+            if value:
+                default_session_model = str(value)
+        for session in sessions_result.get("sessions", []):
+            if not isinstance(session, dict):
+                continue
+            agent_id = str(
+                session.get("agentId")
+                or session.get("agent_id")
+                or ""
+            ).strip()
+            if not agent_id:
+                key = str(session.get("key") or session.get("sessionKey") or "").strip()
+                parts = key.split(":")
+                if len(parts) >= 3 and parts[0] == "agent":
+                    agent_id = parts[1]
+            model_value = (
+                session.get("model")
+                or session.get("modelName")
+                or session.get("model_name")
+                or session.get("resolvedModel")
+                or session.get("resolved_model")
+                or session.get("defaultModel")
+                or session.get("default_model")
+            )
+            if agent_id and model_value and agent_id not in session_model_by_agent:
+                session_model_by_agent[agent_id] = str(model_value)
+
+    if isinstance(result, dict) and isinstance(result.get("agents"), list):
+        normalized_agents = []
+        for agent in result.get("agents", []):
+            if not isinstance(agent, dict):
+                normalized_agents.append(agent)
+                continue
+            normalized = dict(agent)
+            if not normalized.get("model"):
+                normalized["model"] = (
+                    normalized.get("modelName")
+                    or normalized.get("model_name")
+                    or normalized.get("resolvedModel")
+                    or normalized.get("resolved_model")
+                    or normalized.get("defaultModel")
+                    or normalized.get("default_model")
+                    or session_model_by_agent.get(str(normalized.get("id") or "").strip())
+                    or default_session_model
+                )
+            agent_id = str(normalized.get("id") or "").strip()
+            if "skills" not in normalized:
+                normalized["skills"] = agent_skills_by_id.get(agent_id, default_agent_skills)
+            normalized_agents.append(normalized)
+        result = {**result, "agents": normalized_agents}
+    await websocket.send(json.dumps({"type": "openclaw_agents_loaded", "data": result}))
+
+
+async def handle_get_openclaw_agents_presence(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "node.list")
+    await websocket.send(json.dumps({"type": "openclaw_agents_presence_loaded", "data": result}))
+
+
+async def handle_get_openclaw_skills(gateway, websocket, data: dict) -> None:
+    agent_id = str(data.get("agent_id") or "").strip()
+    params = {"agentId": agent_id} if agent_id else {}
+    result = await _ws_call(gateway, "skills.status", params)
+    await websocket.send(json.dumps({"type": "openclaw_skills_loaded", "data": result}))
+
+
+async def handle_get_openclaw_models(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "models.list")
+    await websocket.send(json.dumps({"type": "openclaw_models_loaded", "data": result}))
+
+
+async def handle_get_openclaw_hooks(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "tools.catalog")
+    await websocket.send(json.dumps({"type": "openclaw_hooks_loaded", "data": result}))
+
+
+async def handle_get_openclaw_plugins(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "config.get")
+    await websocket.send(json.dumps({"type": "openclaw_plugins_loaded", "data": result}))
+
+
+async def handle_get_openclaw_secrets_audit(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "secrets.reload")
+    await websocket.send(json.dumps({"type": "openclaw_secrets_audit_loaded", "data": result}))
+
+
+async def handle_get_openclaw_security_audit(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "gateway.identity.get")
+    await websocket.send(json.dumps({"type": "openclaw_security_audit_loaded", "data": result}))
+
+
+async def handle_get_openclaw_daemon_status(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "doctor.memory.status")
+    await websocket.send(json.dumps({"type": "openclaw_daemon_status_loaded", "data": result}))
+
+
+async def handle_get_openclaw_pairing(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "device.pair.list")
+    await websocket.send(json.dumps({"type": "openclaw_pairing_loaded", "data": result}))
+
+
+async def handle_get_openclaw_qr(gateway, websocket, data: dict) -> None:
+    await websocket.send(json.dumps({"type": "openclaw_qr_loaded", "data": {"error": "QR code not available via WebSocket"}}))
+
+
+async def handle_get_openclaw_update_status(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "update.run")
+    await websocket.send(json.dumps({"type": "openclaw_update_status_loaded", "data": result}))
+
+
+async def handle_get_openclaw_models_aliases(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "models.list")
+    await websocket.send(json.dumps({"type": "openclaw_models_aliases_loaded", "data": result}))
+
+
+async def handle_get_openclaw_models_fallbacks(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "models.list")
+    await websocket.send(json.dumps({"type": "openclaw_models_fallbacks_loaded", "data": result}))
+
+
+async def handle_get_openclaw_models_image_fallbacks(gateway, websocket, data: dict) -> None:
+    result = await _ws_call(gateway, "models.list")
+    await websocket.send(json.dumps({"type": "openclaw_models_image_fallbacks_loaded", "data": result}))
+
+
+async def handle_get_openclaw_skill_update(gateway, websocket, data: dict) -> None:
+    slug = data.get("slug")
+    all_flag = data.get("all", False)
+    params = {}
+    if slug is not None:
+        params["slug"] = slug
+    if all_flag:
+        params["all"] = "true"
+    result = await _ws_call(gateway, "skills.update", params)
+    await websocket.send(json.dumps({"type": "openclaw_skill_update_loaded", "data": result}))
+
+
+async def handle_get_openclaw_workspace_files(gateway, websocket, data: dict) -> None:
+    raw_workspace = data.get("workspace", "")
+    # Use the workspace param (which is actually the agent.id from frontend) as agent_id
+    agent_id = raw_workspace or "main"
+    result = await _ws_call(gateway, "agents.files.list", {"agentId": agent_id})
+    if isinstance(result, dict):
+        result["workspace"] = agent_id
+    await websocket.send(json.dumps({"type": "openclaw_workspace_files_loaded", "data": result}))
+
+
+async def handle_get_openclaw_workspace_file(gateway, websocket, data: dict) -> None:
+    agent_id = data.get("agent_id", "main")
+    file_name = data.get("file_name", "")
+    if not file_name:
+        await websocket.send(json.dumps({"type": "openclaw_workspace_file_loaded", "data": {"error": "file_name is required"}}))
+        return
+    result = await _ws_call(gateway, "agents.files.get", {"agentId": agent_id, "name": file_name})
+    await websocket.send(json.dumps({"type": "openclaw_workspace_file_loaded", "data": result}))
--- a/backend/services/gateway_runtime_support.py
+++ b/backend/services/gateway_runtime_support.py
@@ -141,7 +141,7 @@ def apply_runtime_config(gateway: Any, runtime_config: dict[str, Any]) -> dict[s


 def sync_runtime_state(gateway: Any) -> None:
-    """Refresh persisted state and dashboard after runtime config changes."""
+    """Refresh persisted state after runtime config changes."""
    gateway.state_sync.update_state("tickers", gateway.config.get("tickers", []))
    gateway.state_sync.update_state(
        "runtime_config",
@@ -159,17 +159,3 @@ def sync_runtime_state(gateway: Any) -> None:

    gateway.storage.update_server_state_from_dashboard(gateway.state_sync.state)
    gateway.state_sync.save_state()
-
-    gateway._dashboard.tickers = list(gateway.config.get("tickers", []))
-    gateway._dashboard.initial_cash = gateway.storage.initial_cash
-    gateway._dashboard.enable_memory = bool(gateway.config.get("enable_memory", False))
-
-    dashboard_snapshot = gateway.storage.build_dashboard_snapshot_from_state(gateway.state_sync.state)
-    summary = dashboard_snapshot.get("summary") or {}
-    holdings = dashboard_snapshot.get("holdings") or []
-    trades = dashboard_snapshot.get("trades") or []
-    gateway._dashboard.update(
-        portfolio=summary,
-        holdings=holdings,
-        trades=trades,
-    )
--- a/backend/services/openclaw_cli.py
+++ b/backend/services/openclaw_cli.py
@@ -0,0 +1,754 @@
+# -*- coding: utf-8 -*-
+"""Thin service wrapper around the OpenClaw CLI."""
+
+from __future__ import annotations
+
+import json
+import os
+import shlex
+import shutil
+import subprocess
+import sys
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any
+
+from shared.models.openclaw import (
+    AgentSummary,
+    AgentsList,
+    ApprovalRequest,
+    ApprovalsList,
+    CronJob,
+    CronList,
+    DaemonStatus,
+    HookStatusEntry,
+    HookStatusReport,
+    ModelAliasesList,
+    ModelFallbacksList,
+    ModelRow,
+    ModelsList,
+    OpenClawStatus,
+    PairingListResponse,
+    PluginDiagnostic,
+    PluginRecord,
+    PluginsList,
+    QrCodeResponse,
+    SecretsAuditReport,
+    SecurityAuditResponse,
+    SecurityAuditReport,
+    SessionEntry,
+    SessionHistory,
+    SessionsList,
+    SkillStatusEntry,
+    SkillStatusReport,
+    SkillUpdateResult,
+    UpdateCheckResult,
+    UpdateStatusResponse,
+    normalize_agents,
+    normalize_approvals,
+    normalize_cron_jobs,
+    normalize_daemon_status,
+    normalize_hooks,
+    normalize_model_aliases,
+    normalize_model_fallbacks,
+    normalize_models,
+    normalize_pairing,
+    normalize_plugins,
+    normalize_qr,
+    normalize_security_audit,
+    normalize_secrets_audit,
+    normalize_session_history,
+    normalize_sessions,
+    normalize_skill_update,
+    normalize_skills,
+    normalize_status,
+    normalize_update_status,
+)
+
+
+PROJECT_ROOT = Path(__file__).resolve().parents[2]
+REFERENCE_OPENCLAW_ROOT = PROJECT_ROOT / "reference" / "openclaw"
+REFERENCE_OPENCLAW_ENTRY = REFERENCE_OPENCLAW_ROOT / "openclaw.mjs"
+
+
+class OpenClawCliError(RuntimeError):
+    """Raised when the OpenClaw CLI invocation fails."""
+
+    def __init__(
+        self,
+        message: str,
+        *,
+        command: list[str],
+        exit_code: int | None = None,
+        stdout: str = "",
+        stderr: str = "",
+    ) -> None:
+        super().__init__(message)
+        self.command = command
+        self.exit_code = exit_code
+        self.stdout = stdout
+        self.stderr = stderr
+
+
+@dataclass(frozen=True)
+class OpenClawCliResult:
+    """Command execution result."""
+
+    command: list[str]
+    exit_code: int
+    stdout: str
+    stderr: str
+
+
+def resolve_openclaw_base_command() -> list[str]:
+    """Resolve the command prefix used to launch OpenClaw."""
+    explicit = os.getenv("OPENCLAW_CMD", "").strip()
+    if explicit:
+        return shlex.split(explicit)
+
+    installed = shutil.which("openclaw")
+    if installed:
+        return [installed]
+
+    if REFERENCE_OPENCLAW_ENTRY.exists():
+        return [sys.executable if sys.executable.endswith("node") else "node", str(REFERENCE_OPENCLAW_ENTRY)]
+
+    return ["openclaw"]
+
+
+def resolve_openclaw_cwd() -> Path:
+    """Resolve the working directory for CLI execution."""
+    explicit = os.getenv("OPENCLAW_CWD", "").strip()
+    if explicit:
+        return Path(explicit).expanduser()
+    if REFERENCE_OPENCLAW_ROOT.exists():
+        return REFERENCE_OPENCLAW_ROOT
+    return PROJECT_ROOT
+
+
+class OpenClawCliService:
+    """OpenClaw CLI integration service."""
+
+    def __init__(
+        self,
+        *,
+        base_command: list[str] | None = None,
+        cwd: Path | None = None,
+        timeout_seconds: float | None = None,
+    ) -> None:
+        self.base_command = list(base_command or resolve_openclaw_base_command())
+        self.cwd = cwd or resolve_openclaw_cwd()
+        self.timeout_seconds = timeout_seconds or float(
+            os.getenv("OPENCLAW_TIMEOUT_SECONDS", "15")
+        )
+
+    def health(self) -> dict[str, Any]:
+        """Return the current CLI wiring state."""
+        binary = self.base_command[0] if self.base_command else "openclaw"
+        resolved = shutil.which(binary) if len(self.base_command) == 1 else binary
+        return {
+            "status": "healthy",
+            "service": "openclaw-service",
+            "base_command": self.base_command,
+            "cwd": str(self.cwd),
+            "binary_resolved": resolved is not None,
+            "reference_entry_available": REFERENCE_OPENCLAW_ENTRY.exists(),
+            "timeout_seconds": self.timeout_seconds,
+        }
+
+    def status(self) -> dict[str, Any]:
+        """Read `openclaw status --json`."""
+        return self.run_json(["status", "--json"])
+
+    def list_sessions(self) -> dict[str, Any]:
+        """Read `openclaw sessions --json`."""
+        return self.run_json(["sessions", "--json"])
+
+    def get_session(self, session_key: str) -> dict[str, Any]:
+        """Resolve a single session out of the sessions list."""
+        payload = self.list_sessions()
+        sessions = payload.get("sessions") or []
+        for item in sessions:
+            if not isinstance(item, dict):
+                continue
+            if item.get("key") == session_key or item.get("sessionKey") == session_key:
+                return item
+        raise KeyError(session_key)
+
+    def get_session_history(self, session_key: str, *, limit: int = 20) -> dict[str, Any]:
+        """Read session history with a JSON-first fallback to raw text."""
+        args = ["sessions", "history", session_key, "--json", "--limit", str(limit)]
+        try:
+            return self.run_json(args)
+        except OpenClawCliError as exc:
+            raise exc
+        except json.JSONDecodeError:
+            result = self.run(args)
+            return {
+                "sessionKey": session_key,
+                "limit": limit,
+                "rawText": result.stdout,
+            }
+
+    def list_cron_jobs(self) -> dict[str, Any]:
+        """Read `openclaw cron list --json`."""
+        return self.run_json(["cron", "list", "--json"])
+
+    def list_approvals(self) -> dict[str, Any]:
+        """Read `openclaw approvals get --json`."""
+        return self.run_json(["approvals", "get", "--json"])
+
+    def list_agents(self) -> dict[str, Any]:
+        """Read `openclaw agents list --json`."""
+        return self.run_json(["agents", "list", "--json"])
+
+    def list_skills(self) -> dict[str, Any]:
+        """Read `openclaw skills list --json`."""
+        return self.run_json(["skills", "list", "--json"])
+
+    def list_models(self) -> dict[str, Any]:
+        """Read `openclaw models list --json`."""
+        return self.run_json(["models", "list", "--json"])
+
+    def list_hooks(self) -> dict[str, Any]:
+        """Read `openclaw hooks list --json`."""
+        return self.run_json(["hooks", "list", "--json"])
+
+    def list_plugins(self) -> dict[str, Any]:
+        """Read `openclaw plugins list --json`."""
+        return self.run_json(["plugins", "list", "--json"])
+
+    def secrets_audit(self) -> dict[str, Any]:
+        """Read `openclaw secrets audit --json`."""
+        return self.run_json(["secrets", "audit", "--json"])
+
+    def security_audit(self) -> dict[str, Any]:
+        """Read `openclaw security audit --json`."""
+        return self.run_json(["security", "audit", "--json"])
+
+    def daemon_status(self) -> dict[str, Any]:
+        """Read `openclaw daemon status --json`."""
+        return self.run_json(["daemon", "status", "--json"])
+
+    def pairing_list(self) -> dict[str, Any]:
+        """Read `openclaw pairing list --json`."""
+        return self.run_json(["pairing", "list", "--json"])
+
+    def qr_code(self) -> dict[str, Any]:
+        """Read `openclaw qr --json`."""
+        return self.run_json(["qr", "--json"])
+
+    def update_status(self) -> dict[str, Any]:
+        """Read `openclaw update status --json`."""
+        return self.run_json(["update", "status", "--json"])
+
+    def list_model_aliases(self) -> dict[str, Any]:
+        """Read `openclaw models aliases list --json`."""
+        return self.run_json(["models", "aliases", "list", "--json"])
+
+    def list_model_fallbacks(self) -> dict[str, Any]:
+        """Read `openclaw models fallbacks list --json`."""
+        return self.run_json(["models", "fallbacks", "list", "--json"])
+
+    def list_model_image_fallbacks(self) -> dict[str, Any]:
+        """Read `openclaw models image-fallbacks list --json`."""
+        return self.run_json(["models", "image-fallbacks", "list", "--json"])
+
+    def skill_update(self, *, slug: str | None = None, all: bool = False) -> dict[str, Any]:
+        """Read `openclaw skills update --json`."""
+        args = ["skills", "update", "--json"]
+        if slug:
+            args.append(slug)
+        if all:
+            args.append("--all")
+        return self.run_json(args)
+
+    def models_status(self, *, probe: bool = False) -> dict[str, Any]:
+        """Read `openclaw models status --json [--probe]`."""
+        args = ["models", "status", "--json"]
+        if probe:
+            args.append("--probe")
+        return self.run_json(args)
+
+    def channels_status(self, *, probe: bool = False) -> dict[str, Any]:
+        """Read `openclaw channels status [--probe] --json`."""
+        args = ["channels", "status", "--json"]
+        if probe:
+            args.append("--probe")
+        return self.run_json(args)
+
+    def list_workspace_files(self, workspace_path: str) -> dict[str, Any]:
+        """List .md files in an OpenClaw agent workspace with their content.
+
+        Reads the workspace directory and returns metadata + content for each .md file.
+        """
+        import json
+        from pathlib import Path
+
+        wp = Path(workspace_path).expanduser().resolve()
+        if not wp.exists() or not wp.is_dir():
+            return {"workspace": str(wp), "files": [], "error": "workspace not found"}
+
+        md_files = sorted(wp.glob("*.md"))
+        files = []
+        for md_file in md_files:
+            try:
+                content = md_file.read_text(encoding="utf-8")
+                # Preview: first 300 chars
+                preview = content[:300].strip()
+                files.append({
+                    "name": md_file.name,
+                    "path": str(md_file),
+                    "size": len(content),
+                    "preview": preview,
+                    "previewTruncated": len(content) > 300,
+                })
+            except OSError as exc:
+                files.append({
+                    "name": md_file.name,
+                    "path": str(md_file),
+                    "size": 0,
+                    "preview": "",
+                    "error": str(exc),
+                })
+
+        return {"workspace": str(wp), "files": files}
+
+    def channels_list(self) -> dict[str, Any]:
+        """Read `openclaw channels list --json`."""
+        return self.run_json(["channels", "list", "--json"])
+
+    def hook_info(self, name: str) -> dict[str, Any]:
+        """Read `openclaw hooks info <name> --json`."""
+        args = ["hooks", "info", name, "--json"]
+        try:
+            return self.run_json(args)
+        except json.JSONDecodeError:
+            result = self.run(args)
+            return {"raw": result.stdout}
+
+    def hooks_check(self) -> dict[str, Any]:
+        """Read `openclaw hooks check --json`."""
+        return self.run_json(["hooks", "check", "--json"])
+
+    def plugins_inspect(self, *, plugin_id: str | None = None, all: bool = False) -> dict[str, Any]:
+        """Read `openclaw plugins inspect [--json] [--all]`."""
+        args = ["plugins", "inspect", "--json"]
+        if all:
+            args.append("--all")
+        elif plugin_id:
+            args.append(plugin_id)
+        return self.run_json(args)
+
+    # -------------------------------------------------------------------------
+    # Typed variants — these use Pydantic models and are the preferred path.
+    # -------------------------------------------------------------------------
+
+    def status_model(self) -> OpenClawStatus:
+        """Read and parse `openclaw status --json` into a typed model."""
+        raw = self.status()
+        return normalize_status(raw)
+
+    def list_sessions_model(self) -> SessionsList:
+        """Read and parse `openclaw sessions --json` into a typed model."""
+        raw = self.list_sessions()
+        return normalize_sessions(raw)
+
+    def get_session_model(self, session_key: str) -> SessionEntry:
+        """Resolve a single session and return a typed model."""
+        raw = self.get_session(session_key)
+        return SessionEntry.model_validate(raw, strict=False)
+
+    def get_session_history_model(self, session_key: str, *, limit: int = 20) -> SessionHistory:
+        """Read session history and return a typed model."""
+        raw = self.get_session_history(session_key, limit=limit)
+        return normalize_session_history(raw, session_key=session_key)
+
+    def list_cron_jobs_model(self) -> CronList:
+        """Read and parse `openclaw cron list --json` into a typed model."""
+        raw = self.list_cron_jobs()
+        return normalize_cron_jobs(raw)
+
+    def list_approvals_model(self) -> ApprovalsList:
+        """Read and parse `openclaw approvals get --json` into a typed model."""
+        raw = self.list_approvals()
+        return normalize_approvals(raw)
+
+    # -------------------------------------------------------------------------
+    # Typed variants
+    # -------------------------------------------------------------------------
+
+    def list_agents_model(self) -> AgentsList:
+        """Read and parse `openclaw agents list --json` into a typed model."""
+        raw = self.list_agents()
+        if isinstance(raw, list):
+            return AgentsList(agents=[AgentSummary.model_validate(a, strict=False) for a in raw if isinstance(a, dict)])
+        return normalize_agents(raw)
+
+    def list_skills_model(self) -> SkillStatusReport:
+        """Read and parse `openclaw skills list --json` into a typed model."""
+        raw = self.list_skills()
+        return normalize_skills(raw)
+
+    def list_models_model(self) -> ModelsList:
+        """Read and parse `openclaw models list --json` into a typed model."""
+        raw = self.list_models()
+        if isinstance(raw, list):
+            return ModelsList(models=[ModelRow.model_validate(m, strict=False) for m in raw if isinstance(m, dict)])
+        return normalize_models(raw)
+
+    def list_hooks_model(self) -> HookStatusReport:
+        raw = self.list_hooks()
+        return normalize_hooks(raw)
+
+    def list_plugins_model(self) -> PluginsList:
+        raw = self.list_plugins()
+        return normalize_plugins(raw)
+
+    def secrets_audit_model(self) -> SecretsAuditReport:
+        raw = self.secrets_audit()
+        return normalize_secrets_audit(raw)
+
+    def security_audit_model(self) -> SecurityAuditResponse:
+        raw = self.security_audit()
+        return normalize_security_audit(raw)
+
+    def daemon_status_model(self) -> DaemonStatus:
+        raw = self.daemon_status()
+        return normalize_daemon_status(raw)
+
+    def pairing_list_model(self) -> PairingListResponse:
+        raw = self.pairing_list()
+        return normalize_pairing(raw)
+
+    def qr_code_model(self) -> QrCodeResponse:
+        raw = self.qr_code()
+        return normalize_qr(raw)
+
+    def update_status_model(self) -> UpdateStatusResponse:
+        raw = self.update_status()
+        return normalize_update_status(raw)
+
+    def list_model_aliases_model(self) -> ModelAliasesList:
+        raw = self.list_model_aliases()
+        return normalize_model_aliases(raw)
+
+    def list_model_fallbacks_model(self) -> ModelFallbacksList:
+        raw = self.list_model_fallbacks()
+        return normalize_model_fallbacks(raw)
+
+    def list_model_image_fallbacks_model(self) -> ModelFallbacksList:
+        raw = self.list_model_image_fallbacks()
+        return normalize_model_fallbacks(raw)
+
+    def skill_update_model(self, *, slug: str | None = None, all: bool = False) -> SkillUpdateResult:
+        raw = self.skill_update(slug=slug, all=all)
+        return normalize_skill_update(raw)
+
+    def models_status_model(self, *, probe: bool = False) -> dict[str, Any]:
+        """Read `openclaw models status --json` and return the raw dict."""
+        return self.models_status(probe=probe)
+
+    def channels_status_model(self, *, probe: bool = False) -> dict[str, Any]:
+        """Read `openclaw channels status --json` and return the raw dict."""
+        return self.channels_status(probe=probe)
+
+    def channels_list_model(self) -> dict[str, Any]:
+        """Read `openclaw channels list --json` and return the raw dict."""
+        return self.channels_list()
+
+    def hook_info_model(self, name: str) -> dict[str, Any]:
+        """Read `openclaw hooks info <name> --json` and return the raw dict."""
+        return self.hook_info(name)
+
+    def hooks_check_model(self) -> dict[str, Any]:
+        """Read `openclaw hooks check --json` and return the raw dict."""
+        return self.hooks_check()
+
+    def plugins_inspect_model(self, *, plugin_id: str | None = None, all: bool = False) -> dict[str, Any]:
+        """Read `openclaw plugins inspect --json [--all]` and return the raw dict."""
+        return self.plugins_inspect(plugin_id=plugin_id, all=all)
+
+    def agents_bindings(self, *, agent: str | None = None) -> dict[str, Any]:
+        """Read `openclaw agents bindings --json [--agent <id>]`."""
+        args = ["agents", "bindings", "--json"]
+        if agent:
+            args.extend(["--agent", agent])
+        return self.run_json(args)
+
+    def agents_bindings_model(self, *, agent: str | None = None) -> dict[str, Any]:
+        """Read `openclaw agents bindings --json` and return the raw dict."""
+        return self.agents_bindings(agent=agent)
+
+    def agents_presence(self) -> dict[str, Any]:
+        """Read session presence for all agents from runtime session files.
+
+        Reads ~/.openclaw/agents/{agentId}/sessions/sessions.json for each agent
+        and counts sessions in active states within a recency window.
+        """
+        import json
+        from pathlib import Path
+
+        openclaw_home = Path.home() / ".openclaw"
+        agents_path = openclaw_home / "agents"
+
+        if not agents_path.exists():
+            return {"status": "not_connected", "agents": {}}
+
+        ACTIVE_STATES = {
+            "running", "active", "busy", "blocked", "waiting_approval",
+            "working", "in_progress", "processing", "thinking", "executing", "streaming",
+        }
+
+        RECENCY_WINDOW_MS = 45 * 60 * 1000  # 45 minutes
+
+        result: dict[str, Any] = {"status": "connected", "agents": {}}
+
+        try:
+            for agent_dir in agents_path.iterdir():
+                if not agent_dir.is_dir():
+                    continue
+                sessions_file = agent_dir / "sessions" / "sessions.json"
+                if not sessions_file.exists():
+                    continue
+
+                try:
+                    sessions_data = json.loads(sessions_file.read_text())
+                except (json.JSONDecodeError, OSError):
+                    continue
+
+                sessions = sessions_data if isinstance(sessions_data, list) else []
+                now_ms = 0  # placeholder; we'll skip recency check if no ts field
+
+                active_count = 0
+                for session in sessions:
+                    if not isinstance(session, dict):
+                        continue
+                    state = str(session.get("state") or session.get("status") or "").lower()
+                    if state in ACTIVE_STATES:
+                        active_count += 1
+
+                if active_count > 0:
+                    result["agents"][agent_dir.name] = {
+                        "activeSessions": active_count,
+                        "status": "active",
+                    }
+                else:
+                    result["agents"][agent_dir.name] = {
+                        "activeSessions": 0,
+                        "status": "idle",
+                    }
+        except OSError:
+            result["status"] = "partial"
+
+        return result
+
+    def agents_from_config(self) -> dict[str, Any]:
+        """Read agent list directly from openclaw.json config file.
+
+        Falls back to scanning ~/.openclaw/agents/ directories when config is absent.
+        This avoids the CLI timeout from `agents list --json`.
+        """
+        import json
+
+        openclaw_home = Path.home() / ".openclaw"
+        config_path = openclaw_home / "openclaw.json"
+
+        if not config_path.exists():
+            return {"status": "not_connected", "agents": []}
+
+        try:
+            raw = json.loads(config_path.read_text())
+        except (json.JSONDecodeError, OSError):
+            return {"status": "partial", "agents": []}
+
+        agents_list = raw.get("agents", {}).get("list", [])
+        if not agents_list:
+            return {"status": "partial", "agents": [], "detail": "agents.list is empty"}
+
+        agents = []
+        for entry in agents_list:
+            if not isinstance(entry, dict):
+                continue
+            agent_id = entry.get("id", "").strip()
+            if not agent_id:
+                continue
+            agents.append({
+                "id": agent_id,
+                "name": entry.get("name", "").strip() or agent_id,
+                "model": entry.get("model") or "",
+                "workspace": entry.get("workspace") or "",
+                "is_default": entry.get("id") == raw.get("agents", {}).get("defaults", {}).get("id"),
+            })
+
+        return {"status": "connected", "agents": agents}
+
+    def gateway_status(self, *, url: str | None = None, token: str | None = None) -> dict[str, Any]:
+        """Read `openclaw gateway status --json [--url <url>] [--token <token>]`. May fail if gateway is unreachable."""
+        args = ["gateway", "status", "--json"]
+        if url:
+            args.extend(["--url", url])
+        if token:
+            args.extend(["--token", token])
+        return self.run_json(args)
+
+    def memory_status(self, *, agent: str | None = None, deep: bool = False) -> dict[str, Any]:
+        """Read `openclaw memory status --json [--agent <id>] [--deep]`. Returns array of per-agent status."""
+        args = ["memory", "status", "--json"]
+        if agent:
+            args.extend(["--agent", agent])
+        if deep:
+            args.append("--deep")
+        return self.run_json(args)
+
+    # -------------------------------------------------------------------------
+    # Write agents commands
+    # -------------------------------------------------------------------------
+
+    def agents_add(
+        self,
+        name: str,
+        *,
+        workspace: str | None = None,
+        model: str | None = None,
+        agent_dir: str | None = None,
+        bind: list[str] | None = None,
+        non_interactive: bool = False,
+    ) -> dict[str, Any]:
+        """Run `openclaw agents add <name> [--workspace <dir>] [--model <id>] [--agent-dir <dir>] [--bind <spec>] [--non-interactive] --json`."""
+        args = ["agents", "add", name, "--json"]
+        if workspace:
+            args.extend(["--workspace", workspace])
+        if model:
+            args.extend(["--model", model])
+        if agent_dir:
+            args.extend(["--agent-dir", agent_dir])
+        if bind:
+            for b in bind:
+                args.extend(["--bind", b])
+        if non_interactive:
+            args.append("--non-interactive")
+        return self.run_json(args)
+
+    def agents_delete(self, id: str, *, force: bool = False) -> dict[str, Any]:
+        """Run `openclaw agents delete <id> [--force] --json`."""
+        args = ["agents", "delete", id, "--json"]
+        if force:
+            args.append("--force")
+        return self.run_json(args)
+
+    def agents_bind(
+        self,
+        *,
+        agent: str | None = None,
+        bind: list[str] | None = None,
+    ) -> dict[str, Any]:
+        """Run `openclaw agents bind [--agent <id>] [--bind <spec>] --json`."""
+        args = ["agents", "bind", "--json"]
+        if agent:
+            args.extend(["--agent", agent])
+        if bind:
+            for b in bind:
+                args.extend(["--bind", b])
+        return self.run_json(args)
+
+    def agents_unbind(
+        self,
+        *,
+        agent: str | None = None,
+        bind: list[str] | None = None,
+        all: bool = False,
+    ) -> dict[str, Any]:
+        """Run `openclaw agents unbind [--agent <id>] [--bind <spec>] [--all] --json`."""
+        args = ["agents", "unbind", "--json"]
+        if agent:
+            args.extend(["--agent", agent])
+        if bind:
+            for b in bind:
+                args.extend(["--bind", b])
+        if all:
+            args.append("--all")
+        return self.run_json(args)
+
+    def agents_set_identity(
+        self,
+        *,
+        agent: str | None = None,
+        workspace: str | None = None,
+        identity_file: str | None = None,
+        name: str | None = None,
+        emoji: str | None = None,
+        theme: str | None = None,
+        avatar: str | None = None,
+        from_identity: bool = False,
+    ) -> dict[str, Any]:
+        """Run `openclaw agents set-identity [--agent <id>] [--workspace <dir>] [--identity-file <path>] [--from-identity] [--name <n>] [--emoji <e>] [--theme <t>] [--avatar <a>] --json`."""
+        args = ["agents", "set-identity", "--json"]
+        if agent:
+            args.extend(["--agent", agent])
+        if workspace:
+            args.extend(["--workspace", workspace])
+        if identity_file:
+            args.extend(["--identity-file", identity_file])
+        if from_identity:
+            args.append("--from-identity")
+        if name:
+            args.extend(["--name", name])
+        if emoji:
+            args.extend(["--emoji", emoji])
+        if theme:
+            args.extend(["--theme", theme])
+        if avatar:
+            args.extend(["--avatar", avatar])
+        return self.run_json(args)
+
+    def run_json(self, args: list[str]) -> dict[str, Any]:
+        """Run the CLI and decode JSON stdout, falling back to stderr."""
+        result = self.run(args)
+        text = result.stdout.strip() or result.stderr.strip()
+        if not text:
+            return {}
+        return json.loads(text)
+
+    def run(self, args: list[str]) -> OpenClawCliResult:
+        """Run the CLI and return stdout/stderr."""
+        command = [*self.base_command, *args]
+        env = os.environ.copy()
+        try:
+            completed = subprocess.run(
+                command,
+                cwd=self.cwd,
+                env=env,
+                capture_output=True,
+                text=True,
+                timeout=self.timeout_seconds,
+                check=False,
+            )
+        except FileNotFoundError as exc:
+            raise OpenClawCliError(
+                "OpenClaw CLI executable was not found.",
+                command=command,
+            ) from exc
+        except subprocess.TimeoutExpired as exc:
+            raise OpenClawCliError(
+                f"OpenClaw CLI timed out after {self.timeout_seconds:.1f}s.",
+                command=command,
+                stdout=exc.stdout or "",
+                stderr=exc.stderr or "",
+            ) from exc
+
+        if completed.returncode != 0:
+            raise OpenClawCliError(
+                "OpenClaw CLI command failed.",
+                command=command,
+                exit_code=completed.returncode,
+                stdout=completed.stdout,
+                stderr=completed.stderr,
+            )
+
+        return OpenClawCliResult(
+            command=command,
+            exit_code=completed.returncode,
+            stdout=completed.stdout,
+            stderr=completed.stderr,
+        )
--- a/backend/services/storage.py
+++ b/backend/services/storage.py
@@ -39,7 +39,7 @@ class StorageService:
        self,
        dashboard_dir: Path,
        initial_cash: float = 100000.0,
-        config_name: str = "mock",
+        config_name: str = "live",
    ):
        """
        Initialize storage service
--- a/backend/tests/test_agent_workspace.py
+++ b/backend/tests/test_agent_workspace.py
@@ -13,7 +13,7 @@ class _DummyToolkit:
        return ""


-def test_workspace_manager_creates_extended_agent_files(tmp_path):
+def test_workspace_manager_creates_core_agent_files(tmp_path):
    manager = WorkspaceManager(project_root=tmp_path)

    manager.initialize_default_assets(
@@ -27,7 +27,7 @@ def test_workspace_manager_creates_extended_agent_files(tmp_path):
    assert (asset_dir / "PROFILE.md").exists()
    assert (asset_dir / "AGENTS.md").exists()
    assert (asset_dir / "MEMORY.md").exists()
-    assert (asset_dir / "HEARTBEAT.md").exists()
+    assert (asset_dir / "POLICY.md").exists()
    assert (asset_dir / "agent.yaml").exists()
    assert (asset_dir / "skills" / "installed").is_dir()
    assert (asset_dir / "skills" / "active").is_dir()
@@ -35,6 +35,22 @@ def test_workspace_manager_creates_extended_agent_files(tmp_path):
    assert (asset_dir / "skills" / "local").is_dir()


+def test_workspace_manager_seeds_risk_prompt_content(tmp_path):
+    manager = WorkspaceManager(project_root=tmp_path)
+    manager.initialize_default_assets(
+        config_name="demo",
+        agent_ids=["risk_manager"],
+        analyst_personas={},
+    )
+
+    asset_dir = tmp_path / "runs" / "demo" / "agents" / "risk_manager"
+    soul = (asset_dir / "SOUL.md").read_text(encoding="utf-8")
+    guide = (asset_dir / "AGENTS.md").read_text(encoding="utf-8")
+
+    assert "风险管理经理" in soul
+    assert "优先使用可用的风险工具量化集中度" in guide
+
+
 def test_agent_workspace_config_controls_prompt_files(tmp_path, monkeypatch):
    manager = WorkspaceManager(project_root=tmp_path)
    manager.initialize_default_assets(
@@ -72,6 +88,32 @@ def test_agent_workspace_config_controls_prompt_files(tmp_path, monkeypatch):
    assert "profile-line" not in prompt


+def test_prompt_is_built_from_workspace_defaults_without_system_templates(tmp_path, monkeypatch):
+    manager = WorkspaceManager(project_root=tmp_path)
+    manager.initialize_default_assets(
+        config_name="demo",
+        agent_ids=["portfolio_manager"],
+        analyst_personas={},
+    )
+
+    from backend.agents import prompt_factory
+
+    monkeypatch.setattr(
+        prompt_factory,
+        "SkillsManager",
+        lambda: SkillsManager(project_root=tmp_path),
+    )
+
+    prompt = build_agent_system_prompt(
+        agent_id="portfolio_manager",
+        config_name="demo",
+        toolkit=_DummyToolkit(),
+    )
+
+    assert "投资组合经理" in prompt
+    assert "使用 `make_decision` 工具记录每个股票的最终决策" in prompt
+
+
 def test_skills_manager_applies_agent_level_skill_toggles(tmp_path):
    builtin_root = tmp_path / "backend" / "skills" / "builtin"
    for skill_name in ("risk_review", "extra_guard"):
--- a/backend/tests/test_agents.py
+++ b/backend/tests/test_agents.py
@@ -311,6 +311,17 @@ class TestRiskAgent:


 class TestStorageService:
+    def test_storage_service_defaults_to_live_config(self):
+        from backend.services.storage import StorageService
+
+        with tempfile.TemporaryDirectory() as tmpdir:
+            storage = StorageService(
+                dashboard_dir=Path(tmpdir),
+                initial_cash=100000.0,
+            )
+
+            assert storage.config_name == "live"
+
    def test_calculate_portfolio_value_cash_only(self):
        from backend.services.storage import StorageService

--- a/backend/tests/test_gateway_support_modules.py
+++ b/backend/tests/test_gateway_support_modules.py
@@ -8,24 +8,6 @@ import pytest
 from backend.services import gateway_cycle_support, gateway_runtime_support


-class _DummyDashboard:
-    def __init__(self):
-        self.updated = []
-        self.tickers = []
-        self.initial_cash = None
-        self.enable_memory = False
-        self.days_total = 0
-
-    def update(self, **kwargs):
-        self.updated.append(kwargs)
-
-    def stop(self):
-        return None
-
-    def print_final_summary(self):
-        return None
-
-
 class _DummyScheduler:
    def __init__(self):
        self.calls = []
@@ -128,7 +110,6 @@ def make_gateway_stub():
        },
        storage=_DummyStorage(),
        state_sync=_DummyStateSync(),
-        _dashboard=_DummyDashboard(),
        _watchlist_ingest_task=None,
        _market_status_task=None,
        _backtest_task=None,
--- a/backend/tests/test_heartbeat_hook.py
+++ b/backend/tests/test_heartbeat_hook.py
@@ -1,69 +0,0 @@
-# -*- coding: utf-8 -*-
-"""Tests for HeartbeatHook."""
-import tempfile
-from pathlib import Path
-
-import pytest
-
-from backend.agents.base.hooks import HeartbeatHook
-
-
-class TestHeartbeatHook:
-    """Tests for HeartbeatHook._read_heartbeat_content."""
-
-    def test_read_heartbeat_content_with_content(self, tmp_path):
-        """Test reading HEARTBEAT.md when it exists and has content."""
-        ws_dir = tmp_path / "analyst_workspace"
-        ws_dir.mkdir()
-        hb_file = ws_dir / "HEARTBEAT.md"
-        hb_file.write_text("# 定期主动检查\n\n- [ ] 持仓是否健康\n", encoding="utf-8")
-
-        hook = HeartbeatHook(workspace_dir=ws_dir)
-        content = hook._read_heartbeat_content()
-
-        assert content is not None
-        assert "# 定期主动检查" in content
-        assert "持仓是否健康" in content
-
-    def test_read_heartbeat_content_absent(self, tmp_path):
-        """Test reading when HEARTBEAT.md does not exist."""
-        ws_dir = tmp_path / "analyst_workspace"
-        ws_dir.mkdir()
-
-        hook = HeartbeatHook(workspace_dir=ws_dir)
-        content = hook._read_heartbeat_content()
-
-        assert content is None
-
-    def test_read_heartbeat_content_empty(self, tmp_path):
-        """Test reading when HEARTBEAT.md is empty."""
-        ws_dir = tmp_path / "analyst_workspace"
-        ws_dir.mkdir()
-        hb_file = ws_dir / "HEARTBEAT.md"
-        hb_file.write_text("", encoding="utf-8")
-
-        hook = HeartbeatHook(workspace_dir=ws_dir)
-        content = hook._read_heartbeat_content()
-
-        assert content is None
-
-    def test_read_heartbeat_content_whitespace_only(self, tmp_path):
-        """Test reading when HEARTBEAT.md contains only whitespace."""
-        ws_dir = tmp_path / "analyst_workspace"
-        ws_dir.mkdir()
-        hb_file = ws_dir / "HEARTBEAT.md"
-        hb_file.write_text("   \n\n  ", encoding="utf-8")
-
-        hook = HeartbeatHook(workspace_dir=ws_dir)
-        content = hook._read_heartbeat_content()
-
-        assert content is None
-
-    def test_completed_flag_path(self, tmp_path):
-        """Test that completion flag is placed in workspace directory."""
-        ws_dir = tmp_path / "analyst_workspace"
-        ws_dir.mkdir()
-
-        hook = HeartbeatHook(workspace_dir=ws_dir)
-
-        assert hook._completed_flag == ws_dir / ".heartbeat_completed"
--- a/backend/tests/test_market_ingest.py
+++ b/backend/tests/test_market_ingest.py
@@ -0,0 +1,81 @@
+# -*- coding: utf-8 -*-
+"""Tests for market ingest watermark handling."""
+
+from backend.data import market_ingest
+
+
+class _FakeStore:
+    def __init__(self, *, last_news_fetch=None, latest_news_date=None):
+        self._watermarks = {
+            "symbol": "AAPL",
+            "last_price_fetch": None,
+            "last_news_fetch": last_news_fetch,
+        }
+        self._latest_news_date = latest_news_date
+        self.updated = []
+
+    def get_ticker_watermarks(self, symbol):
+        return dict(self._watermarks)
+
+    def get_latest_news_date(self, symbol):
+        return self._latest_news_date
+
+    def upsert_ticker(self, **kwargs):
+        return None
+
+    def upsert_ohlc(self, symbol, rows, source="polygon"):
+        return len(rows)
+
+    def upsert_news(self, symbol, rows, source="polygon"):
+        return len(rows)
+
+    def update_fetch_watermark(self, **kwargs):
+        self.updated.append(kwargs)
+
+
+def test_refresh_news_incremental_does_not_advance_watermark_without_news(monkeypatch):
+    store = _FakeStore(last_news_fetch="2026-03-28", latest_news_date="2026-03-28")
+
+    monkeypatch.setattr(market_ingest, "fetch_ticker_details", lambda ticker: {"name": ticker, "sic_description": None, "active": True})
+
+    class _Router:
+        def get_company_news(self, **kwargs):
+            return [], "polygon"
+
+    monkeypatch.setattr(market_ingest, "DataProviderRouter", lambda: _Router())
+    monkeypatch.setattr(market_ingest, "align_news_for_symbol", lambda store, ticker: 0)
+
+    result = market_ingest.refresh_news_incremental(
+        "AAPL",
+        end_date="2026-03-29",
+        store=store,
+    )
+
+    assert result["start_news_date"] == "2026-03-29"
+    assert result["news"] == 0
+    assert store.updated[-1]["news_date"] is None
+
+
+def test_refresh_news_incremental_clamps_future_watermark_to_latest_stored_date(monkeypatch):
+    store = _FakeStore(last_news_fetch="2026-03-30", latest_news_date="2026-03-28")
+    captured = {}
+
+    monkeypatch.setattr(market_ingest, "fetch_ticker_details", lambda ticker: {"name": ticker, "sic_description": None, "active": True})
+
+    class _Router:
+        def get_company_news(self, **kwargs):
+            captured.update(kwargs)
+            return [], "polygon"
+
+    monkeypatch.setattr(market_ingest, "DataProviderRouter", lambda: _Router())
+    monkeypatch.setattr(market_ingest, "align_news_for_symbol", lambda store, ticker: 0)
+
+    result = market_ingest.refresh_news_incremental(
+        "AAPL",
+        end_date="2026-03-29",
+        store=store,
+    )
+
+    assert result["start_news_date"] == "2026-03-29"
+    assert captured["start_date"] == "2026-03-29"
+    assert captured["end_date"] == "2026-03-29"
--- a/backend/tests/test_openclaw_cli_service.py
+++ b/backend/tests/test_openclaw_cli_service.py
@@ -0,0 +1,60 @@
+# -*- coding: utf-8 -*-
+"""Tests for the OpenClaw CLI service wrapper."""
+
+from pathlib import Path
+
+import pytest
+
+from backend.services.openclaw_cli import OpenClawCliError, OpenClawCliService
+
+
+class _Completed:
+    def __init__(self, *, returncode=0, stdout="", stderr=""):
+        self.returncode = returncode
+        self.stdout = stdout
+        self.stderr = stderr
+
+
+def test_openclaw_cli_service_runs_json_command(monkeypatch, tmp_path):
+    captured = {}
+
+    def _fake_run(command, **kwargs):
+        captured["command"] = command
+        captured["cwd"] = kwargs["cwd"]
+        return _Completed(stdout='{"sessions":[{"key":"main/session-1"}]}')
+
+    monkeypatch.setattr("backend.services.openclaw_cli.subprocess.run", _fake_run)
+
+    service = OpenClawCliService(base_command=["openclaw"], cwd=tmp_path, timeout_seconds=3)
+    payload = service.list_sessions()
+
+    assert payload["sessions"][0]["key"] == "main/session-1"
+    assert captured["command"] == ["openclaw", "sessions", "--json"]
+    assert captured["cwd"] == tmp_path
+
+
+def test_openclaw_cli_service_raises_on_failure(monkeypatch, tmp_path):
+    def _fake_run(command, **kwargs):
+        return _Completed(returncode=7, stdout="", stderr="boom")
+
+    monkeypatch.setattr("backend.services.openclaw_cli.subprocess.run", _fake_run)
+
+    service = OpenClawCliService(base_command=["openclaw"], cwd=tmp_path, timeout_seconds=3)
+
+    with pytest.raises(OpenClawCliError) as exc_info:
+        service.list_cron_jobs()
+
+    assert exc_info.value.exit_code == 7
+    assert exc_info.value.stderr == "boom"
+
+
+def test_openclaw_cli_service_can_extract_single_session(monkeypatch, tmp_path):
+    def _fake_run(command, **kwargs):
+        return _Completed(stdout='{"sessions":[{"key":"main/session-1","agentId":"main"}]}')
+
+    monkeypatch.setattr("backend.services.openclaw_cli.subprocess.run", _fake_run)
+
+    service = OpenClawCliService(base_command=["openclaw"], cwd=tmp_path, timeout_seconds=3)
+    session = service.get_session("main/session-1")
+
+    assert session["agentId"] == "main"
--- a/backend/tests/test_openclaw_service_app.py
+++ b/backend/tests/test_openclaw_service_app.py
@@ -0,0 +1,110 @@
+# -*- coding: utf-8 -*-
+"""Tests for the extracted OpenClaw service app surface."""
+
+from fastapi.testclient import TestClient
+
+from backend.apps.openclaw_service import create_app
+from backend.api import openclaw as openclaw_module
+
+
+class _FakeOpenClawCliService:
+    def health(self):
+        return {
+            "status": "healthy",
+            "service": "openclaw-service",
+            "base_command": ["openclaw"],
+            "cwd": "/tmp/openclaw",
+            "binary_resolved": True,
+            "reference_entry_available": True,
+            "timeout_seconds": 15.0,
+        }
+
+    def status(self):
+        return {"runtimeVersion": "2026.3.24"}
+
+    def list_sessions(self):
+        return {
+            "sessions": [
+                {"key": "main/session-1", "agentId": "main"},
+                {"key": "analyst/session-2", "agentId": "analyst"},
+            ]
+        }
+
+    def get_session(self, session_key: str):
+        for session in self.list_sessions()["sessions"]:
+            if session["key"] == session_key:
+                return session
+        raise KeyError(session_key)
+
+    def get_session_history(self, session_key: str, *, limit: int = 20):
+        return {
+            "sessionKey": session_key,
+            "limit": limit,
+            "items": [{"role": "assistant", "text": "hello"}],
+        }
+
+    def list_cron_jobs(self):
+        return {"jobs": [{"id": "job-1", "name": "Daily sync"}]}
+
+    def list_approvals(self):
+        return {"approvals": [{"id": "ap-1", "status": "pending"}]}
+
+
+def test_openclaw_service_routes_are_exposed():
+    app = create_app()
+    paths = {route.path for route in app.routes}
+
+    assert "/health" in paths
+    assert "/api/status" in paths
+    assert "/api/openclaw/status" in paths
+    assert "/api/openclaw/sessions" in paths
+    assert "/api/openclaw/sessions/{session_key:path}" in paths
+    assert "/api/openclaw/sessions/{session_key:path}/history" in paths
+    assert "/api/openclaw/cron" in paths
+    assert "/api/openclaw/approvals" in paths
+
+
+def test_openclaw_service_read_routes():
+    app = create_app()
+    app.dependency_overrides[openclaw_module.get_openclaw_cli_service] = (
+        lambda: _FakeOpenClawCliService()
+    )
+
+    with TestClient(app) as client:
+        health = client.get("/health")
+        status = client.get("/api/status")
+        openclaw_status = client.get("/api/openclaw/status")
+        sessions = client.get("/api/openclaw/sessions")
+        session = client.get("/api/openclaw/sessions/main/session-1")
+        history = client.get("/api/openclaw/sessions/main/session-1/history", params={"limit": 5})
+        cron = client.get("/api/openclaw/cron")
+        approvals = client.get("/api/openclaw/approvals")
+
+    assert health.status_code == 200
+    assert health.json()["service"] == "openclaw-service"
+    assert status.status_code == 200
+    assert status.json()["status"] == "operational"
+    assert openclaw_status.status_code == 200
+    assert openclaw_status.json()["runtimeVersion"] == "2026.3.24"
+    assert sessions.status_code == 200
+    assert len(sessions.json()["sessions"]) == 2
+    assert session.status_code == 200
+    assert session.json()["session"]["agentId"] == "main"
+    assert history.status_code == 200
+    assert history.json()["limit"] == 5
+    assert cron.status_code == 200
+    assert cron.json()["jobs"][0]["id"] == "job-1"
+    assert approvals.status_code == 200
+    assert approvals.json()["approvals"][0]["id"] == "ap-1"
+
+
+def test_openclaw_service_session_404():
+    app = create_app()
+    app.dependency_overrides[openclaw_module.get_openclaw_cli_service] = (
+        lambda: _FakeOpenClawCliService()
+    )
+
+    with TestClient(app) as client:
+        response = client.get("/api/openclaw/sessions/missing")
+
+    assert response.status_code == 404
--- a/backend/tests/test_openclaw_websocket_client.py
+++ b/backend/tests/test_openclaw_websocket_client.py
@@ -0,0 +1,74 @@
+# -*- coding: utf-8 -*-
+"""Tests for the OpenClaw WebSocket client session helpers."""
+
+import pytest
+
+from shared.client.openclaw_websocket_client import OpenClawWebSocketClient
+
+
+@pytest.mark.asyncio
+async def test_resolve_session_parses_gateway_key_response():
+    client = OpenClawWebSocketClient(gateway_token="test-token")
+
+    async def fake_send_request(method, params=None, _allow_handshake=False):
+        assert method == "sessions.resolve"
+        assert params["agentId"] == "main"
+        return {"ok": True, "key": "agent:main:main"}
+
+    client._send_request = fake_send_request  # type: ignore[method-assign]
+
+    resolved = await client.resolve_session(agent_id="main")
+
+    assert resolved == "agent:main:main"
+
+
+@pytest.mark.asyncio
+async def test_send_message_uses_session_send_payload():
+    client = OpenClawWebSocketClient(gateway_token="test-token")
+
+    async def fake_send_request(method, params=None, _allow_handshake=False):
+        assert method == "sessions.send"
+        assert params == {
+            "key": "agent:main:main",
+            "message": "hello",
+            "thinking": "medium",
+        }
+        return {"ok": True, "runId": "run-1"}
+
+    client._send_request = fake_send_request  # type: ignore[method-assign]
+
+    result = await client.send_message("agent:main:main", "hello", thinking="medium")
+
+    assert result["runId"] == "run-1"
+
+
+@pytest.mark.asyncio
+async def test_get_session_history_uses_sessions_preview():
+    client = OpenClawWebSocketClient(gateway_token="test-token")
+
+    async def fake_send_request(method, params=None, _allow_handshake=False):
+        assert method == "sessions.preview"
+        assert params == {"keys": ["agent:main:main"], "limit": 12}
+        return {"previews": []}
+
+    client._send_request = fake_send_request  # type: ignore[method-assign]
+
+    result = await client.get_session_history("agent:main:main", limit=12)
+
+    assert result == {"previews": []}
+
+
+@pytest.mark.asyncio
+async def test_unsubscribe_uses_session_messages_unsubscribe():
+    client = OpenClawWebSocketClient(gateway_token="test-token")
+
+    async def fake_send_request(method, params=None, _allow_handshake=False):
+        assert method == "sessions.messages.unsubscribe"
+        assert params == {"key": "agent:main:main"}
+        return {"subscribed": False}
+
+    client._send_request = fake_send_request  # type: ignore[method-assign]
+
+    result = await client.unsubscribe("agent:main:main")
+
+    assert result == {"subscribed": False}
--- a/backend/tests/test_service_clients.py
+++ b/backend/tests/test_service_clients.py
@@ -4,6 +4,7 @@
 import pytest

 from shared.client.control_client import ControlPlaneClient
+from shared.client.openclaw_client import OpenClawServiceClient
 from shared.client.runtime_client import RuntimeServiceClient


@@ -105,3 +106,25 @@ async def test_runtime_service_client_hits_current_runtime_routes():
        ("get", "/config", None),
        ("put", "/config", {"schedule_mode": "intraday"}),
    ]
+
+
+@pytest.mark.asyncio
+async def test_openclaw_service_client_hits_current_openclaw_routes():
+    client = OpenClawServiceClient()
+    client._client = _DummyAsyncClient()
+
+    await client.fetch_status()
+    await client.list_sessions()
+    await client.get_session("main/session-1")
+    await client.get_session_history("main/session-1", limit=5)
+    await client.list_cron_jobs()
+    await client.list_approvals()
+
+    assert client._client.calls == [
+        ("get", "/status", None),
+        ("get", "/sessions", None),
+        ("get", "/sessions/main/session-1", None),
+        ("get", "/sessions/main/session-1/history", {"limit": 5}),
+        ("get", "/cron", None),
+        ("get", "/approvals", None),
+    ]
--- a/backend/tools/technical_signals.py
+++ b/backend/tools/technical_signals.py
@@ -48,7 +48,7 @@ class TechnicalSignal:


 class StockTechnicalAnalyzer:
-    """Lightweight technical analyzer adapted for EvoTraders tools."""
+    """Lightweight technical analyzer adapted for 大时代 tools."""

    def analyze(self, ticker: str, df: pd.DataFrame) -> TechnicalSignal:
        """Analyze one ticker from OHLC price history."""
--- a/backend/utils/terminal_dashboard.py
+++ b/backend/utils/terminal_dashboard.py
@@ -1,352 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Terminal Dashboard - Persistent unified panel using Rich Live
-"""
-# pylint: disable=R0915,R0912
-import logging
-import threading
-import time
-from typing import Any, Dict, List, Optional
-
-from rich.console import Console
-from rich.live import Live
-from rich.panel import Panel
-from rich.table import Table
-
-logger = logging.getLogger(__name__)
-
-
-class TerminalDashboard:
-    """Unified persistent terminal dashboard"""
-
-    def __init__(self, console: Console = None):
-        self.console = console or Console()
-        self.live: Optional[Live] = None
-
-        # Config state
-        self.mode = "live"
-        self.config_name = ""
-        self.host = "0.0.0.0"
-        self.port = 8765
-        self.poll_interval = 10
-        self.trigger_time = "now"
-        self.enable_memory = False
-        self.local_time = ""
-        self.nyse_time = ""
-        self.start_date = ""
-        self.end_date = ""
-        self.tickers: List[str] = []
-        self.initial_cash = 100000.0
-        self.data_sources: Dict[str, Any] = {}
-
-        # Trading state
-        self.current_date = "-"
-        self.status = "Initializing"
-        self.total_value = 0.0
-        self.cash = 0.0
-        self.pnl_pct = 0.0
-        self.holdings: List[Dict] = []
-        self.trades: List[Dict] = []
-        self.days_completed = 0
-        self.days_total = 0
-
-        # Progress message (last line)
-        self.progress = ""
-        self._dots_index = 0
-        self._animator_running = False
-        self._animator_thread: Optional[threading.Thread] = None
-
-    def set_config(
-        self,
-        mode: str,
-        config_name: str,
-        host: str,
-        port: int,
-        poll_interval: int,
-        trigger_time: str = "now",
-        enable_memory: bool = False,
-        local_time: str = "",
-        nyse_time: str = "",
-        start_date: str = "",
-        end_date: str = "",
-        tickers: List[str] = None,
-        initial_cash: float = 100000.0,
-        data_sources: Dict[str, Any] = None,
-    ):
-        """Set configuration state"""
-        self.mode = mode
-        self.config_name = config_name
-        self.host = host
-        self.port = port
-        self.poll_interval = poll_interval
-        self.trigger_time = trigger_time
-        self.enable_memory = enable_memory
-        self.local_time = local_time
-        self.nyse_time = nyse_time
-        self.start_date = start_date
-        self.end_date = end_date
-        self.tickers = tickers or []
-        self.initial_cash = initial_cash
-        self.data_sources = data_sources or {}
-        self.total_value = initial_cash
-        self.cash = initial_cash
-
-    def _build_panel(self) -> Panel:
-        """Build the unified dashboard panel"""
-        # Main grid
-        main_table = Table.grid(padding=(0, 2))
-        main_table.add_column(width=28)
-        main_table.add_column(width=22)
-        main_table.add_column(width=22)
-
-        # Left: Config + Status
-        left = Table.grid(padding=(0, 0))
-        left.add_column()
-
-        # Mode line
-        if self.mode == "backtest":
-            mode_str = "[cyan]Backtest[/cyan]"
-        else:
-            mode_str = "[green]LIVE[/green]"
-
-        left.add_row(f"[bold]Mode:[/bold] {mode_str}")
-        left.add_row(f"[dim]Config:[/dim] {self.config_name}")
-        left.add_row(f"[dim]Server:[/dim] {self.host}:{self.port}")
-        preferred_sources = self.data_sources.get("preferred", [])
-        if preferred_sources:
-            left.add_row(
-                f"[dim]Data:[/dim] {' -> '.join(preferred_sources)}",
-            )
-
-        if self.mode == "live" and self.nyse_time:
-            left.add_row(f"[dim]NYSE:[/dim] {self.nyse_time[:19]}")
-            trigger_display = (
-                "[green]NOW[/green]"
-                if self.trigger_time == "now"
-                else self.trigger_time
-            )
-            left.add_row(f"[dim]Trigger:[/dim] {trigger_display}")
-
-        # Status
-        left.add_row("")
-        status_style = "green" if self.status == "Running" else "yellow"
-        left.add_row(
-            "[bold]Status:[/bold] "
-            f"[{status_style}]{self.status}[/{status_style}]",
-        )
-        if self.mode == "backtest":
-            left.add_row(
-                f"[dim]Backtesting Period:[/dim] {self.days_total} days\n"
-                f"  {self.start_date} -> {self.end_date}",
-            )
-        left.add_row(f"[dim]Current Date:[/dim] {self.current_date}")
-
-        # Middle: Portfolio
-        mid = Table.grid(padding=(0, 0))
-        mid.add_column()
-
-        pnl_style = "green" if self.pnl_pct >= 0 else "red"
-        mid.add_row("[bold]Portfolio[/bold]")
-        mid.add_row(f"NAV: [bold]${self.total_value:,.0f}[/bold]")
-        mid.add_row(f"Cash: ${self.cash:,.0f}")
-        mid.add_row(f"P&L: [{pnl_style}]{self.pnl_pct:+.2f}%[/{pnl_style}]")
-
-        # Positions
-        mid.add_row("")
-        mid.add_row("[bold]Positions[/bold]")
-        stock_holdings = [
-            h for h in self.holdings if h.get("ticker") != "CASH"
-        ]
-        if stock_holdings:
-            for h in stock_holdings[:7]:
-                qty = h.get("quantity", 0)
-                ticker = h.get("ticker", "")[:5]
-                val = h.get("marketValue", 0)
-                qty_str = f"{qty:+d}" if qty != 0 else "0"
-                mid.add_row(
-                    f"[cyan]{ticker:<5}[/cyan] {qty_str:>5} ${val:>7,.0f}",
-                )
-            if len(stock_holdings) > 7:
-                mid.add_row(f"[dim]+{len(stock_holdings) - 7} more[/dim]")
-        else:
-            mid.add_row("[dim]No positions[/dim]")
-
-        # Right: Recent Trades
-        right = Table.grid(padding=(0, 0))
-        right.add_column()
-
-        right.add_row("[bold]Recent Trades[/bold]")
-        if self.trades:
-            for t in self.trades[:10]:
-                side = t.get("side", "")
-                ticker = t.get("ticker", "")[:5]
-                qty = t.get("qty", 0)
-                if side == "LONG":
-                    side_str = "[green]L[/green]"
-                elif side == "SHORT":
-                    side_str = "[red]S[/red]"
-                else:
-                    side_str = "[dim]H[/dim]"
-                right.add_row(f"{side_str} [cyan]{ticker:<5}[/cyan] {qty:>4}")
-            if len(self.trades) > 10:
-                right.add_row(f"[dim]+{len(self.trades) - 10} more[/dim]")
-        else:
-            right.add_row("[dim]No trades[/dim]")
-
-        main_table.add_row(left, mid, right)
-
-        # Outer table to add progress line at bottom
-        outer = Table.grid(padding=(0, 0))
-        outer.add_column()
-        outer.add_row(main_table)
-
-        # Progress line (last row) with animated dots
-        if self.progress:
-            DOTS_FRAMES = ["   ", ".  ", ".. ", "..."]
-            dots = DOTS_FRAMES[self._dots_index % len(DOTS_FRAMES)]
-            outer.add_row("")
-            outer.add_row(f"[dim]> {self.progress}{dots}[/dim]")
-
-        # Build panel
-        title = "[bold cyan]EvoTraders[/bold cyan]"
-        if self.mode == "backtest":
-            title += " [dim]Backtest[/dim]"
-        else:
-            title += " [dim]Live[/dim]"
-
-        return Panel(
-            outer,
-            title=title,
-            border_style="cyan",
-            padding=(0, 1),
-        )
-
-    def _run_animator(self):
-        """Background thread to animate the dots"""
-        while self._animator_running:
-            time.sleep(0.3)
-            if self.progress and self.live:
-                self._dots_index += 1
-                self.live.update(self._build_panel())
-
-    def start(self):
-        """Start the live dashboard display"""
-        self.live = Live(
-            self._build_panel(),
-            console=self.console,
-            refresh_per_second=4,
-            vertical_overflow="visible",
-        )
-        self.live.start()
-
-        # Start animator thread
-        self._animator_running = True
-        self._animator_thread = threading.Thread(
-            target=self._run_animator,
-            daemon=True,
-        )
-        self._animator_thread.start()
-
-    def stop(self):
-        """Stop the live dashboard"""
-        self._animator_running = False
-        if self._animator_thread:
-            self._animator_thread.join(timeout=0.5)
-            self._animator_thread = None
-        if self.live:
-            self.live.stop()
-            self.live = None
-
-    def update(
-        self,
-        date: str = None,
-        status: str = None,
-        portfolio: Dict[str, Any] = None,
-        holdings: List[Dict] = None,
-        trades: List[Dict] = None,
-        days_completed: int = None,
-        days_total: int = None,
-        data_sources: Dict[str, Any] = None,
-    ):
-        """Update dashboard state and refresh display"""
-        if date:
-            self.current_date = date
-        if status:
-            self.status = status
-        if days_completed is not None:
-            self.days_completed = days_completed
-        if days_total is not None:
-            self.days_total = days_total
-
-        if portfolio:
-            self.total_value = portfolio.get(
-                "totalAssetValue",
-                0,
-            ) or portfolio.get(
-                "total_value",
-                self.initial_cash,
-            )
-            self.cash = portfolio.get("cashPosition", 0) or portfolio.get(
-                "cash",
-                self.initial_cash,
-            )
-            if self.total_value > 0 and self.initial_cash > 0:
-                self.pnl_pct = (
-                    (self.total_value - self.initial_cash) / self.initial_cash
-                ) * 100
-
-        if holdings is not None:
-            self.holdings = holdings
-        if trades is not None:
-            self.trades = trades
-        if data_sources is not None:
-            self.data_sources = data_sources
-
-        if self.live:
-            self.live.update(self._build_panel())
-
-    def log(self, msg: str, also_log: bool = True):
-        """
-        Update progress message and refresh panel
-
-        Args:
-            msg: Progress message to display
-            also_log: Whether to also write to logger (default True)
-        """
-        self.progress = msg
-        if also_log:
-            logger.info(msg)
-        if self.live:
-            self.live.update(self._build_panel())
-
-    def print_final_summary(self):
-        """Print final summary when dashboard stops"""
-        pnl_style = "green" if self.pnl_pct >= 0 else "red"
-
-        if self.mode == "backtest":
-            msg = (
-                f"[bold]Backtest Complete[/bold] | "
-                f"Days: {self.days_completed} | "
-                f"NAV: ${self.total_value:,.0f} | "
-                f"Return: [{pnl_style}]{self.pnl_pct:+.2f}%[/{pnl_style}]"
-            )
-        else:
-            msg = (
-                f"[bold]Session End[/bold] | "
-                f"NAV: ${self.total_value:,.0f} | "
-                f"P&L: [{pnl_style}]{self.pnl_pct:+.2f}%[/{pnl_style}]"
-            )
-
-        self.console.print(Panel(msg, border_style="green"))
-
-
-# Global instance
-_dashboard: Optional[TerminalDashboard] = None
-
-
-def get_dashboard() -> TerminalDashboard:
-    """Get or create global dashboard instance"""
-    global _dashboard
-    if _dashboard is None:
-        _dashboard = TerminalDashboard()
-    return _dashboard
--- a/backtest/state/server_state.json
+++ b/backtest/state/server_state.json
@@ -2626,6 +2626,5 @@
  "trading_days_completed": 5,
  "server_mode": "backtest",
  "is_backtest": true,
-  "is_mock_mode": false,
  "last_saved": "2026-03-12T23:07:31.098122"
 }
--- a/deploy/README.md
+++ b/deploy/README.md
@@ -0,0 +1,135 @@
+# Deployment Notes
+
+This directory contains the current production-oriented deployment artifacts for
+the 大时代 frontend site and the live gateway process.
+
+## Contents
+
+- [deploy/systemd/evotraders.service](./systemd/evotraders.service)
+  - systemd unit for the long-running 大时代 gateway process
+- [scripts/run_prod.sh](../scripts/run_prod.sh)
+  - production launch script used by the systemd unit
+- [deploy/nginx/bigtime.cillinn.com.conf](./nginx/bigtime.cillinn.com.conf)
+  - HTTPS nginx config with WebSocket proxying
+- [deploy/nginx/bigtime.cillinn.com.http.conf](./nginx/bigtime.cillinn.com.http.conf)
+  - plain HTTP/static-site variant
+
+## Current Production Shape
+
+The checked-in production path is intentionally minimal:
+
+- nginx serves the built frontend from `/var/www/bigtime/current`
+- public domain examples use `bigtime.cillinn.com`
+- nginx proxies `/ws` to `127.0.0.1:8765`
+- systemd runs `scripts/run_prod.sh`
+- `scripts/run_prod.sh` starts `python3 -m backend.main` in live mode on `127.0.0.1:8765`
+
+This means the checked-in production example is centered on the gateway and
+frontend, not on exposing the split FastAPI services directly.
+
+## Important Paths And Ports
+
+- frontend root: `/var/www/bigtime/current`
+- gateway bind: `127.0.0.1:8765`
+- public WebSocket path: `/ws`
+- working directory expected by systemd: `/root/code/evotraders`
+
+## systemd
+
+The current systemd unit:
+
+- uses `WorkingDirectory=/root/code/evotraders`
+- executes [scripts/run_prod.sh](../scripts/run_prod.sh)
+- restarts automatically on failure
+
+Enable and start:
+
+```bash
+sudo cp deploy/systemd/evotraders.service /etc/systemd/system/evotraders.service
+sudo systemctl daemon-reload
+sudo systemctl enable evotraders
+sudo systemctl start evotraders
+```
+
+Check status and logs:
+
+```bash
+sudo systemctl status evotraders
+journalctl -u evotraders -f
+```
+
+## nginx
+
+The HTTPS nginx config does two things:
+
+- redirects `http://bigtime.cillinn.com` to HTTPS
+- proxies `/ws` to the local gateway process with WebSocket upgrade headers
+
+Typical install flow:
+
+```bash
+sudo cp deploy/nginx/bigtime.cillinn.com.conf /etc/nginx/sites-available/bigtime.cillinn.com.conf
+sudo ln -s /etc/nginx/sites-available/bigtime.cillinn.com.conf /etc/nginx/sites-enabled/
+sudo nginx -t
+sudo systemctl reload nginx
+```
+
+The checked-in TLS config expects Let's Encrypt assets at:
+
+- `/etc/letsencrypt/live/bigtime.cillinn.com/fullchain.pem`
+- `/etc/letsencrypt/live/bigtime.cillinn.com/privkey.pem`
+
+## Environment Expectations
+
+Before using the production scripts, ensure the runtime environment has:
+
+- a usable Python environment
+- backend dependencies installed from `requirements.txt`
+- the package installed with `pip install -e .` or `uv pip install -e .`
+- frontend dependencies installed with `npm ci`
+- repo dependencies installed
+- required market/model API keys
+- any desired `TICKERS` override
+
+Recommended production install sequence:
+
+```bash
+python3 -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+pip install -e .
+cd frontend && npm ci && npm run build && cd ..
+```
+
+The production script currently sets:
+
+```bash
+PYTHONPATH=/root/code/evotraders/.pydeps:.
+TICKERS=${TICKERS:-AAPL,MSFT,GOOGL,AMZN,NVDA,META,TSLA,AMD,NFLX,AVGO,PLTR,COIN}
+```
+
+It then launches:
+
+```bash
+python3 -m backend.main \
+  --mode live \
+  --config-name production \
+  --host 127.0.0.1 \
+  --port 8765 \
+  --trigger-time now \
+  --poll-interval 15
+```
+
+## What This Deployment Does Not Yet Cover
+
+The checked-in deployment artifacts do not currently document or automate:
+
+- split FastAPI service deployment on `8000` to `8004`
+- OpenClaw gateway deployment on `18789`
+- database backup/retention workflows
+- frontend build/publish steps
+- secret management
+
+If you move production fully to split-service mode, update this directory so it
+documents the new service topology explicitly instead of relying on the gateway-
+only path.
--- a/deploy/nginx/evotraders.cillinn.com.conf
+++ b/deploy/nginx/evotraders.cillinn.com.conf
@@ -1,9 +1,9 @@
 server {
    listen 80;
-    server_name evotraders.cillinn.com;
+    server_name bigtime.cillinn.com;

    location /.well-known/acme-challenge/ {
-        root /var/www/evotraders/current;
+        root /var/www/bigtime/current;
        allow all;
    }

@@ -14,13 +14,13 @@ server {

 server {
    listen 443 ssl http2;
-    server_name evotraders.cillinn.com;
+    server_name bigtime.cillinn.com;

-    root /var/www/evotraders/current;
+    root /var/www/bigtime/current;
    index index.html;

-    ssl_certificate /etc/letsencrypt/live/evotraders.cillinn.com/fullchain.pem;
-    ssl_certificate_key /etc/letsencrypt/live/evotraders.cillinn.com/privkey.pem;
+    ssl_certificate /etc/letsencrypt/live/bigtime.cillinn.com/fullchain.pem;
+    ssl_certificate_key /etc/letsencrypt/live/bigtime.cillinn.com/privkey.pem;
    include /etc/letsencrypt/options-ssl-nginx.conf;
    ssl_dhparam /etc/letsencrypt/ssl-dhparams.pem;

--- a/deploy/nginx/evotraders.cillinn.com.http.conf
+++ b/deploy/nginx/evotraders.cillinn.com.http.conf
@@ -1,8 +1,8 @@
 server {
    listen 80;
-    server_name evotraders.cillinn.com;
+    server_name bigtime.cillinn.com;

-    root /var/www/evotraders/current;
+    root /var/www/bigtime/current;
    index index.html;

    location /.well-known/acme-challenge/ {
--- a/deploy/systemd/evotraders.service
+++ b/deploy/systemd/evotraders.service
@@ -1,5 +1,5 @@
 [Unit]
-Description=EvoTraders Production Service
+Description=大时代 Production Service
 After=network.target

 [Service]
--- a/docs/assets/bigtime_demo.gif
+++ b/docs/assets/bigtime_demo.gif
--- a/docs/assets/bigtime_logo.jpg
+++ b/docs/assets/bigtime_logo.jpg
--- a/docs/compat-removal-plan.md
+++ b/docs/compat-removal-plan.md
@@ -1,28 +1,116 @@
-# Compatibility Removal Plan
+# Compatibility And Migration Status

-This document tracks the remaining migration-only surfaces that still exist
-after the move to split-first development.
+This document tracks the remaining migration-related boundaries after the
+repository switched to split-first development.

-## Migration-only Surfaces
+## Current Status

-None currently remain as dedicated compatibility wrappers.
+The repo no longer depends on a combined FastAPI compatibility wrapper for
+normal local development. The default path is now:

-## Completed Removals
+`agent_service + trading_service + news_service + runtime_service + gateway`
+
+That means compatibility is no longer a separate startup mode. What remains is
+mostly protocol-level and routing-level compatibility while the codebase
+continues to move responsibilities into clearer service surfaces.
+
+## What Was Removed

 ### `backend.app`

- Removed after compatibility startup switched to
-  `backend.apps.combined_service:app` directly.
+- Removed after startup paths switched away from the legacy app wrapper.
+
+### `backend.apps.combined_service`
+
+- Removed after split-service startup became the only supported local dev mode.

 ### `shared.client.AgentServiceClient`

 - Removed after split-aware clients became the default import surface.
- Replacement:
+- Replaced by:
  - `ControlPlaneClient`
  - `RuntimeServiceClient`
  - `TradingServiceClient`
  - `NewsServiceClient`

-### `backend.apps.combined_service`
+## What Still Exists For Compatibility

- Removed after split-service mode became the only supported dev startup path.
+These are not legacy wrappers in the old sense, but they still preserve
+backward-compatible behavior while migration settles.
+
+### Gateway-mediated flows
+
+- The WebSocket gateway still carries a mix of:
+  - live runtime feed transport
+  - orchestration
+  - selected read flows that have not been moved to direct browser service calls
+- This is intentional for now because the frontend still depends on the gateway
+  for event streaming and some compatibility reads.
+
+### In-process fallbacks
+
+- Some read paths still support local-module fallback when split-service URLs
+  are not configured.
+- Relevant variables include:
+  - `TRADING_SERVICE_URL`
+  - `NEWS_SERVICE_URL`
+- This keeps the app resilient during migration, but it also means behavior can
+  differ depending on env configuration.
+
+### Dual OpenClaw integration surfaces
+
+- OpenClaw currently appears through two different shapes:
+  - WebSocket gateway integration on `:18789`
+  - optional REST surface at `backend.apps.openclaw_service` on `:8004`
+- These are both valid, but they are not the same surface and should not be
+  documented as interchangeable.
+
+## Remaining Migration Risks
+
+### Split service deployment is not yet the checked-in production default
+
+- The repo documents split-service local development clearly.
+- The checked-in production example still centers on `backend.main` and nginx
+  WebSocket proxying.
+- This is a topology mismatch to keep in mind when changing deploy docs or prod
+  automation.
+
+### Environment-dependent routing
+
+- The frontend and gateway can switch behavior based on configured service URLs.
+- This is helpful operationally, but it makes debugging more configuration-
+  sensitive than a fully fixed service topology.
+
+### Runtime/control-plane separation is logical, not fully operationally isolated
+
+- `runtime_service` owns lifecycle APIs.
+- `agent_service` owns control-plane APIs.
+- The gateway still hosts the live runtime orchestration path, so the split is
+  clean at the API level but not yet a completely independent service mesh.
+
+## Exit Criteria For Declaring Migration Complete
+
+Migration can be considered effectively complete when all of the following are
+true:
+
+1. Production deployment docs and scripts explicitly run the same split-service
+   topology used in development, or intentionally document a different stable
+   production topology.
+2. Critical read paths no longer require ambiguous fallback behavior to local
+   module implementations.
+3. OpenClaw integration is documented as a stable contract with clear guidance
+   on when to use the WebSocket gateway versus the REST surface.
+4. The frontend-service routing model is stable enough that direct-service and
+   gateway-mediated paths are deliberate design choices rather than migration
+   leftovers.
+
+## Practical Read Of The Current State
+
+The migration away from combined-service startup is done.
+
+What remains is not “legacy startup debt”, but:
+
+- topology clarification
+- deployment consistency
+- reduction of env-dependent fallback behavior
+- sharper documentation around gateway and OpenClaw boundaries
--- a/env.template
+++ b/env.template
@@ -1,6 +1,6 @@
 # ================== General Configuration | 通用配置 ==================
 # List of stock ticker symbols to analyze (comma-separated) | 想要分析的股票代码列表（用逗号分隔）
-TICKERS=AAPL,MSFT,GOOGL,NVDA,TSLA,META,AMZN
+TICKERS=AAPL,MSFT,GOOGL,AMZN,NVDA,META,TSLA,AMD,NFLX,AVGO,PLTR,COIN

 # Financial Data API
 # At least FINANCIAL_DATASETS_API_KEY is required, corresponding to FIN_DATA_SOURCE=financial_datasets; It's recommended to add FINNHUB_API_KEY, corresponding to FIN_DATA_SOURCE=finnhub; FINNHUB_API_KEY is mandatory for live mode
@@ -20,6 +20,9 @@ MARKET_DB_PATH= #optional path for long-lived market_research.db | 长期市场
 OPENAI_API_KEY=
 OPENAI_BASE_URL=
 MODEL_NAME=qwen3-max-preview
+OPENCLAW_CMD=
+OPENCLAW_CWD=
+OPENCLAW_TIMEOUT_SECONDS=15
 EXPLAIN_ENRICH_USE_LLM=false
 EXPLAIN_ENRICH_MODEL_PROVIDER=
 EXPLAIN_ENRICH_MODEL_NAME=
--- a/frontend/README.md
+++ b/frontend/README.md
@@ -1,31 +1,66 @@
-## QuickStart
+## Frontend Quick Start
+
 ```bash
 cd frontend
-npm install
+npm ci
 npm run dev
 ```

-## Optional Direct Service Calls
+Default dev URL: `http://localhost:5173`

-The frontend still works with the compatibility backend entrypoint by default.
-In the current test-stage setup, split services are the recommended default.
-Point the frontend directly at those standalone services:
+The frontend expects the 大时代 gateway WebSocket on `ws://localhost:8765` unless overridden.
+
+## Recommended Local Backend Stack
+
+Start the split backend services from the project root:
+
+```bash
+./start-dev.sh
+```
+
+That gives you:
+
+- control plane at `http://localhost:8000/api`
+- trading service at `http://localhost:8001`
+- news service at `http://localhost:8002`
+- runtime service at `http://localhost:8003/api/runtime`
+- gateway WebSocket at `ws://localhost:8765`
+
+## Frontend Environment Variables
+
+You can point the frontend directly at those services with:

 ```bash
 VITE_CONTROL_API_BASE_URL=http://localhost:8000/api
 VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime
 VITE_NEWS_SERVICE_URL=http://localhost:8002
 VITE_TRADING_SERVICE_URL=http://localhost:8001
+VITE_WS_URL=ws://localhost:8765
 ```

-Current direct-call coverage:
+There is also a starter template at [frontend/env.template](./env.template).

- runtime panel + gateway port discovery
+For production deployments, prefer:
+
+```bash
+cd frontend
+npm ci
+npm run build
+```
+
+This ensures the deployed frontend matches the checked-in `package-lock.json`.
+
+## Direct-Service Coverage
+
+Current direct-call coverage includes:
+
+- runtime panel data loading
+- gateway port/runtime discovery
 - `story`
 - `similar days`
 - `range explain`
 - `news for date`
 - `news categories`
+- selected trading reads such as price history and insider trades

-If these variables are not set, the frontend falls back to the existing
-WebSocket-driven compatibility flow.
+If these variables are not set, the frontend falls back to local defaults and compatibility paths where they still exist.
--- a/frontend/env.template
+++ b/frontend/env.template
@@ -1,10 +1,24 @@
 # Frontend Environment Variables Template
 # 复制此文件为 .env 并修改配置

-# WebSocket服务器地址
-# 本地开发
+# 控制面 API（agent/workspaces/guard）
+VITE_CONTROL_API_BASE_URL=http://localhost:8000/api
+
+# 运行时 API（start/stop/runtime info）
+VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime
+
+# 新闻服务（可选，未配置时走默认回退）
+VITE_NEWS_SERVICE_URL=http://localhost:8002
+
+# 交易数据服务（可选，未配置时走默认回退）
+VITE_TRADING_SERVICE_URL=http://localhost:8001
+
+# WebSocket Gateway
 VITE_WS_URL=ws://localhost:8765

-# 生产环境（替换为你的实际服务器地址）
-# VITE_WS_URL=wss://your-server.com:8765
-
+# 生产环境示例
+# VITE_CONTROL_API_BASE_URL=https://your-domain.com/api
+# VITE_RUNTIME_API_BASE_URL=https://your-domain.com/api/runtime
+# VITE_NEWS_SERVICE_URL=https://your-domain.com/news
+# VITE_TRADING_SERVICE_URL=https://your-domain.com/trading
+# VITE_WS_URL=wss://your-domain.com/ws
--- a/frontend/index.html
+++ b/frontend/index.html
@@ -4,7 +4,7 @@
    <meta charset="UTF-8" />
      <link rel="icon" type="image/png" href="/trading_logo.png" />
      <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>EvoTraders</title>
+    <title>大时代</title>
  </head>
  <body>
    <div id="root"></div>
--- a/frontend/package.json
+++ b/frontend/package.json
@@ -3,6 +3,10 @@
  "private": true,
  "version": "0.0.0",
  "type": "module",
+  "engines": {
+    "node": ">=20",
+    "npm": ">=10"
+  },
  "scripts": {
    "dev": "vite",
    "build": "vite build",
@@ -13,6 +17,9 @@
    "preview:host": "vite preview --host"
  },
  "dependencies": {
+    "@dicebear/collection": "^9.4.2",
+    "@dicebear/core": "^9.4.2",
+    "@lobehub/icons": "^5.2.0",
    "@radix-ui/react-dialog": "^1.1.15",
    "@radix-ui/react-dropdown-menu": "^2.1.16",
    "@radix-ui/react-label": "^2.1.7",
--- a/frontend/src/App.jsx
+++ b/frontend/src/App.jsx
@@ -13,6 +13,7 @@ import { useAgentStore } from './store/agentStore';
 import { useMarketStore } from './store/marketStore';
 import { usePortfolioStore } from './store/portfolioStore';
 import { useRuntimeStore } from './store/runtimeStore';
+import { useOpenClawStore } from './store/openclawStore';
 import { useUIStore } from './store/uiStore';

 const EDITABLE_AGENT_WORKSPACE_FILES = [
@@ -20,10 +21,7 @@ const EDITABLE_AGENT_WORKSPACE_FILES = [
  'PROFILE.md',
  'AGENTS.md',
  'MEMORY.md',
-  'POLICY.md',
-  'HEARTBEAT.md',
-  'ROLE.md',
-  'STYLE.md'
+  'POLICY.md'
 ];

 export default function LiveTradingApp() {
@@ -141,6 +139,11 @@ export default function LiveTradingApp() {
    addSystemMessage,
  });

+  // Make clientRef available to OpenClaw panel via store
+  useEffect(() => {
+    useOpenClawStore.getState().setClientRef(clientRef);
+  }, [clientRef]);
+
  const runtimeControls = useRuntimeControls({
    clientRef,
    currentTickers: tickers,
@@ -228,6 +231,26 @@ export default function LiveTradingApp() {
    workspaceFilesByAgent,
  ]);

+  useEffect(() => {
+    if (!isSocketReady || !clientRef.current) {
+      return;
+    }
+
+    AGENTS.forEach((agent) => {
+      if (!agent?.id) {
+        return;
+      }
+      if (!agentProfilesByAgent[agent.id]) {
+        requestAgentProfile(agent.id);
+      }
+    });
+  }, [
+    agentProfilesByAgent,
+    clientRef,
+    isSocketReady,
+    requestAgentProfile,
+  ]);
+
  useEffect(() => {
    const symbols = runtimeControls.displayTickers
      .map((ticker) => ticker.symbol)
--- a/frontend/src/components/AgentCard.jsx
+++ b/frontend/src/components/AgentCard.jsx
@@ -1,6 +1,7 @@
 import React from 'react';
 import { ASSETS } from '../config/constants';
 import { getModelIcon, getShortModelName } from '../utils/modelIcons';
+import LobeModelLogo from './LobeModelLogo.jsx';

 /**
 * Get rank medal/trophy
@@ -207,14 +208,18 @@ export default function AgentCard({ agent, onClose, isClosing }) {
                justifyContent: 'center',
                marginBottom: 4
              }}>
-                {modelInfo.logoPath ? (
-                  <img
-                    src={modelInfo.logoPath}
+                {agent.modelName || modelInfo.logoPath ? (
+                  <LobeModelLogo
+                    model={agent.modelName}
+                    provider={agent.modelProvider}
+                    fallbackSrc={modelInfo.logoPath}
                    alt={modelInfo.provider}
+                    size={36}
+                    type="color"
+                    shape="square"
                    style={{
                      maxHeight: '100%',
                      maxWidth: '100%',
-                      objectFit: 'contain'
                    }}
                  />
                ) : (
--- a/frontend/src/components/AgentFeed.jsx
+++ b/frontend/src/components/AgentFeed.jsx
@@ -3,6 +3,7 @@ import { formatTime } from '../utils/formatters';
 import { MESSAGE_COLORS, getAgentColors, AGENTS, ASSETS } from '../config/constants';
 import { getModelIcon } from '../utils/modelIcons';
 import MarkdownModal from './MarkdownModal';
+import LobeModelLogo from './LobeModelLogo.jsx';

 const isAnalyst = (agentId, agentName) => {
  if (agentId && agentId.includes('analyst')) return true;
@@ -167,11 +168,11 @@ const AgentFeed = forwardRef(({ feed, leaderboard, agentProfilesByAgent }, ref)
  // Get current selection display info
  const getCurrentSelectionInfo = () => {
    if (selectedAgent === 'all') {
-      return { label: '全部角色', modelInfo: null };
+      return { label: '全部角色', modelInfo: null, agentInfo: null };
    }
    const agentInfo = getAgentInfoByName(selectedAgent);
    const modelInfo = agentInfo ? getModelIcon(agentInfo.modelName, agentInfo.modelProvider) : null;
-    return { label: selectedAgent, modelInfo };
+    return { label: selectedAgent, modelInfo, agentInfo };
  };

  const currentSelection = getCurrentSelectionInfo();
@@ -189,11 +190,16 @@ const AgentFeed = forwardRef(({ feed, leaderboard, agentProfilesByAgent }, ref)
              onBlur={() => setTimeout(() => setDropdownOpen(false), 200)}
            >
              <div className="custom-select-value">
-                {currentSelection.modelInfo?.logoPath && (
-                  <img
-                    src={currentSelection.modelInfo.logoPath}
-                    alt={currentSelection.modelInfo.provider}
+                {(currentSelection.agentInfo?.modelName || currentSelection.modelInfo?.logoPath) && (
+                  <LobeModelLogo
+                    model={currentSelection.agentInfo?.modelName}
+                    provider={currentSelection.agentInfo?.modelProvider}
+                    fallbackSrc={currentSelection.modelInfo?.logoPath}
+                    alt={currentSelection.modelInfo?.provider}
+                    size={18}
                    className="select-model-icon"
+                    shape="square"
+                    type="color"
                  />
                )}
                <span>{currentSelection.label}</span>
@@ -223,11 +229,16 @@ const AgentFeed = forwardRef(({ feed, leaderboard, agentProfilesByAgent }, ref)
                        setDropdownOpen(false);
                      }}
                    >
-                      {modelInfo?.logoPath && (
-                        <img
-                          src={modelInfo.logoPath}
-                          alt={modelInfo.provider}
+                      {(agentInfo?.modelName || modelInfo?.logoPath) && (
+                        <LobeModelLogo
+                          model={agentInfo?.modelName}
+                          provider={agentInfo?.modelProvider}
+                          fallbackSrc={modelInfo?.logoPath}
+                          alt={modelInfo?.provider}
+                          size={18}
                          className="select-model-icon"
+                          shape="square"
+                          type="color"
                        />
                      )}
                      <span>{agent}</span>
@@ -363,16 +374,16 @@ function ConferenceMessage({ message, getAgentModelInfo }) {
  return (
    <div className="conf-message-item">
      <div className="conf-agent-name" style={{ color: agentColors.text, display: 'flex', alignItems: 'center', gap: '6px', fontSize: '12px' }}>
-        {modelInfo.logoPath && (
-          <img
-            src={modelInfo.logoPath}
+        {(agentModelData.modelName || modelInfo.logoPath) && (
+          <LobeModelLogo
+            model={agentModelData.modelName}
+            provider={agentModelData.modelProvider}
+            fallbackSrc={modelInfo.logoPath}
            alt={modelInfo.provider}
-            style={{
-              width: '20px',
-              height: '20px',
-              borderRadius: '50%',
-              objectFit: 'contain'
-            }}
+            size={20}
+            shape="circle"
+            type="color"
+            style={{ borderRadius: '50%' }}
          />
        )}
        {message.agent}
@@ -591,16 +602,16 @@ function MessageItem({ message, itemId, isHighlighted, getAgentModelInfo }) {
      >
        <div className="feed-item-header">
        <span className="feed-item-title" style={{ color: colors.text, display: 'flex', alignItems: 'center', gap: '6px', fontSize: '12px' }}>
-            {modelInfo.logoPath && message.agent !== 'Memory' && (
-              <img
-                src={modelInfo.logoPath}
+            {message.agent !== 'Memory' && (agentModelData.modelName || modelInfo.logoPath) && (
+              <LobeModelLogo
+                model={agentModelData.modelName}
+                provider={agentModelData.modelProvider}
+                fallbackSrc={modelInfo.logoPath}
                alt={modelInfo.provider}
-                style={{
-                  width: '20px',
-                  height: '20px',
-                  borderRadius: '50%',
-                  objectFit: 'contain'
-                }}
+                size={20}
+                shape="circle"
+                type="color"
+                style={{ borderRadius: '50%' }}
              />
            )}
            {title}
--- a/frontend/src/components/AppShell.jsx
+++ b/frontend/src/components/AppShell.jsx
@@ -2,7 +2,6 @@ import React, { Suspense, lazy, useRef, useEffect, useMemo } from 'react';
 import GlobalStyles from '../styles/GlobalStyles';
 import Header from './Header.jsx';
 import RuntimeSettingsPanel from './RuntimeSettingsPanel.jsx';
-import StockLogo from './StockLogo.jsx';
 import NetValueChart from './NetValueChart.jsx';
 import { AGENTS } from '../config/constants';
 import { useRuntimeStore } from '../store/runtimeStore';
@@ -14,6 +13,7 @@ const AgentFeed = lazy(() => import('./AgentFeed'));
 const StatisticsView = lazy(() => import('./StatisticsView'));
 const StockExplainView = lazy(() => import('./StockExplainView.jsx'));
 const TraderView = lazy(() => import('./TraderView.jsx'));
+const OpenClawView = lazy(() => import('./OpenClawView.jsx'));

 function ViewLoadingFallback({ label = '加载中...' }) {
  return (
@@ -171,7 +171,8 @@ export default function AppShell({
    const base = `view-slider-five ${currentView === 'traders' ? 'show-traders' :
      currentView === 'room' ? 'show-room' :
        currentView === 'explain' ? 'show-explain' :
-          currentView === 'statistics' ? 'show-statistics' : 'show-chart'}`;
+          currentView === 'chart' ? 'show-chart' :
+            currentView === 'statistics' ? 'show-statistics' : 'show-openclaw'}`;
    return base;
  }, [currentView]);

@@ -320,7 +321,6 @@ export default function AppShell({
              <div key={groupIdx} className="ticker-group">
                {displayTickers.map(ticker => (
                  <div key={`${ticker.symbol}-${groupIdx}`} className="ticker-item">
-                    <StockLogo ticker={ticker.symbol} size={16} />
                    <span className="ticker-symbol">{ticker.symbol}</span>
                    <span className="ticker-price">
                      <span className={`ticker-price-value ${rollingTickers[ticker.symbol] ? 'rolling' : ''}`}>
@@ -382,6 +382,12 @@ export default function AppShell({
                  >
                    统计
                  </button>
+                  <button
+                    className={`view-nav-btn ${currentView === 'openclaw' ? 'active' : ''}`}
+                    onClick={() => setCurrentView('openclaw')}
+                  >
+                    OpenClaw
+                  </button>
                </div>

                <div className={viewClassName}>
@@ -485,6 +491,13 @@ export default function AppShell({
                      />
                    </Suspense>
                  </div>
+
+                  {/* OpenClaw View Panel */}
+                  <div className="view-panel">
+                    <Suspense fallback={<ViewLoadingFallback label="加载 OpenClaw 视图..." />}>
+                      <OpenClawView />
+                    </Suspense>
+                  </div>
                </div>
              </div>
            </div>
--- a/frontend/src/components/Header.jsx
+++ b/frontend/src/components/Header.jsx
@@ -2,7 +2,7 @@ import React from 'react';

 /**
 * Header Component
- * Reusable header brand for EvoTraders.
+ * Reusable header brand for 大时代.
 */
 export default function Header() {
  return (
@@ -19,10 +19,10 @@ export default function Header() {
      >
        <img
          src="/trading_logo.png"
-          alt="EvoTraders Logo"
+          alt="大时代 Logo"
          style={{ height: '24px', width: 'auto' }}
        />
-        EvoTraders
+        大时代
      </span>
    </div>
  );
--- a/frontend/src/components/LobeModelLogo.jsx
+++ b/frontend/src/components/LobeModelLogo.jsx
@@ -0,0 +1,78 @@
+import React from 'react';
+import ModelIcon from '@lobehub/icons/es/features/ModelIcon';
+import ProviderIcon from '@lobehub/icons/es/features/ProviderIcon';
+
+export default function LobeModelLogo({
+  model,
+  provider,
+  fallbackSrc = null,
+  alt = '',
+  size = 28,
+  shape = 'square',
+  type = 'color',
+  style = {},
+  className = '',
+}) {
+  const hasModel = typeof model === 'string' && model.trim().length > 0;
+  const hasProvider = typeof provider === 'string' && provider.trim().length > 0;
+
+  try {
+    if (hasModel) {
+      return (
+        <ModelIcon
+          model={model}
+          size={size}
+          shape={shape}
+          type={type}
+          className={className}
+          style={style}
+        />
+      );
+    }
+
+    if (hasProvider) {
+      return (
+        <ProviderIcon
+          provider={provider.toLowerCase()}
+          size={size}
+          shape={shape}
+          type={type}
+          className={className}
+          style={style}
+        />
+      );
+    }
+  } catch {
+    // Fall through to local fallback asset.
+  }
+
+  if (fallbackSrc) {
+    return (
+      <img
+        src={fallbackSrc}
+        alt={alt}
+        className={className}
+        style={{
+          width: size,
+          height: size,
+          objectFit: 'contain',
+          ...style,
+        }}
+      />
+    );
+  }
+
+  return (
+    <div
+      className={className}
+      style={{
+        width: size,
+        height: size,
+        borderRadius: shape === 'circle' ? '50%' : 8,
+        background: '#F3F4F6',
+        border: '1px solid #D1D5DB',
+        ...style,
+      }}
+    />
+  );
+}
--- a/frontend/src/components/NetValueChart.jsx
+++ b/frontend/src/components/NetValueChart.jsx
@@ -123,7 +123,7 @@ export default function NetValueChart({ equity, baseline, baseline_vw, momentum,

  // Legend descriptions
  const legendDescriptions = {
-    'EvoTraders': 'EvoTraders is our agents investment strategy',
+    '大时代': '大时代 is our agents investment strategy',
    'Buy & Hold (EW)': 'Equal Weight: Can be viewed as an equal-weighted index of all invested stocks',
    'Buy & Hold (VW)': 'Value Weighted: Can be viewed as a market-cap weighted index of all invested stocks',
    'Momentum': 'Momentum Strategy: Buy stocks that have performed well in the past',
@@ -758,7 +758,7 @@ export default function NetValueChart({ equity, baseline, baseline_vw, momentum,
        <Line
          type="linear"
          dataKey="portfolio"
-          name="EvoTraders"
+          name="大时代"
          stroke="#00C853"
          strokeWidth={2.5}
          dot={(props) => <CustomDot {...props} dataKey="portfolio" />}
--- a/frontend/src/components/OpenClawStatus.jsx
+++ b/frontend/src/components/OpenClawStatus.jsx
--- a/frontend/src/components/OpenClawView.jsx
+++ b/frontend/src/components/OpenClawView.jsx
@@ -0,0 +1,5 @@
+import { OpenClawStatus } from './OpenClawStatus';
+
+export default function OpenClawView() {
+  return <OpenClawStatus />;
+}
--- a/frontend/src/components/RoomView.jsx
+++ b/frontend/src/components/RoomView.jsx
@@ -2,6 +2,7 @@ import React, { useEffect, useMemo, useRef, useState, useCallback } from 'react'
 import { ASSETS, SCENE_NATIVE, AGENT_SEATS, AGENTS } from '../config/constants';
 import AgentCard from './AgentCard';
 import { getModelIcon } from '../utils/modelIcons';
+import LobeModelLogo from './LobeModelLogo.jsx';

 /**
 * Custom hook to load an image
@@ -518,21 +519,23 @@ export default function RoomView({ bubbles, bubbleFor, leaderboard, agentProfile
                      {medal}
                    </span>
                  )}
-                  {modelInfo.logoPath && (
-                    <img
-                      src={modelInfo.logoPath}
+                  {(agentData?.modelName || modelInfo.logoPath) && (
+                    <LobeModelLogo
+                      model={agentData?.modelName}
+                      provider={agentData?.modelProvider}
+                      fallbackSrc={modelInfo.logoPath}
                      alt={modelInfo.provider}
+                      size={25}
+                      shape="circle"
+                      type="color"
                      className="agent-model-badge"
                      style={{
                        position: 'absolute',
                        top: -12,
                        right: -12,
-                        width: 25,
-                        height: 25,
                        borderRadius: '50%',
                        border: '2px solid #ffffff',
                        background: '#ffffff',
-                        objectFit: 'contain',
                        padding: 2,
                        boxShadow: '0 2px 4px rgba(0,0,0,0.1)',
                        pointerEvents: 'none'
@@ -642,10 +645,15 @@ export default function RoomView({ bubbles, bubbleFor, leaderboard, agentProfile

                  {/* Agent header with model icon */}
                  <div className="room-bubble-header">
-                    {modelInfo.logoPath && (
-                      <img
-                        src={modelInfo.logoPath}
+                    {(agentData?.modelName || modelInfo.logoPath) && (
+                      <LobeModelLogo
+                        model={agentData?.modelName}
+                        provider={agentData?.modelProvider}
+                        fallbackSrc={modelInfo.logoPath}
                        alt={modelInfo.provider}
+                        size={18}
+                        shape="circle"
+                        type="color"
                        className="bubble-model-icon"
                      />
                    )}
--- a/frontend/src/components/StatisticsView.jsx
+++ b/frontend/src/components/StatisticsView.jsx
@@ -1,5 +1,4 @@
 import React, { useState, useEffect } from 'react';
-import StockLogo from './StockLogo';
 import { formatNumber, formatDateTime } from '../utils/formatters';

 /**
@@ -497,7 +496,6 @@ export default function StatisticsView({ trades, holdings, stats, baseline_vw, e
                          <tr key={h.ticker}>
                            <td>
                              <div style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-                                {h.ticker !== 'CASH' && <StockLogo ticker={h.ticker} size={18} />}
                                <span style={{ fontWeight: 700, color: '#000000' }}>{h.ticker}</span>
                              </div>
                            </td>
@@ -623,7 +621,6 @@ export default function StatisticsView({ trades, holdings, stats, baseline_vw, e
                          </td>
                          <td>
                            <div style={{ display: 'flex', alignItems: 'center', gap: 8 }}>
-                              <StockLogo ticker={t.ticker} size={16} />
                              <span style={{ fontWeight: 700, color: '#000000' }}>{t.ticker}</span>
                            </div>
                          </td>
--- a/frontend/src/components/StockExplainView.jsx
+++ b/frontend/src/components/StockExplainView.jsx
@@ -1,21 +1,10 @@
 import React, { useEffect, useState } from 'react';
-import StockLogo from './StockLogo';
-import ExplainEventsSection from './explain/ExplainEventsSection';
-import ExplainMentionsSection from './explain/ExplainMentionsSection';
-import ExplainMaintenanceSection from './explain/ExplainMaintenanceSection';
 import ExplainNewsSection from './explain/ExplainNewsSection';
 import ExplainPriceSection from './explain/ExplainPriceSection';
-import ExplainRangeSection from './explain/ExplainRangeSection';
-import ExplainStorySection from './explain/ExplainStorySection';
-import ExplainSimilarDaysSection from './explain/ExplainSimilarDaysSection';
-import ExplainSignalsSection from './explain/ExplainSignalsSection';
-import ExplainSummarySection from './explain/ExplainSummarySection';
-import ExplainTradesSection from './explain/ExplainTradesSection';
 import ExplainInsiderSection from './explain/ExplainInsiderSection';
 import ExplainTechnicalSection from './explain/ExplainTechnicalSection';
-import { EVENT_CATEGORY_META, eventDateKey } from './explain/explainUtils';
 import useExplainModel from './explain/useExplainModel';
-import { formatDateTime, formatNumber, formatTickerPrice } from '../utils/formatters';
+import { formatNumber, formatTickerPrice } from '../utils/formatters';

 export default function StockExplainView({
  tickers,
@@ -28,74 +17,34 @@ export default function StockExplainView({
  selectedSymbol,
  onSelectedSymbolChange,
  selectedHistorySource,
-  explainEventsSnapshot,
  newsSnapshot,
  insiderTradesSnapshot,
  technicalIndicatorsSnapshot,
-  onRequestRangeExplain,
  onRequestHistory,
-  onRequestExplainEvents,
  onRequestNews,
-  onRequestNewsForDate,
-  onRequestStory,
  onRequestInsiderTrades,
  onRequestTechnicalIndicators,
-  currentDate,
-  onRequestSimilarDays,
-  onRequestStockEnrich
 }) {
-  const [selectedEventDate, setSelectedEventDate] = useState('');
-  const [activeEventCategory, setActiveEventCategory] = useState('all');
  const [activeNewsCategory, setActiveNewsCategory] = useState('all');
  const [activeNewsSentiment, setActiveNewsSentiment] = useState('all');
  const [isPriceOpen, setIsPriceOpen] = useState(true);
-  const [isSummaryOpen, setIsSummaryOpen] = useState(true);
-  const [isSignalsOpen, setIsSignalsOpen] = useState(true);
  const [isNewsOpen, setIsNewsOpen] = useState(true);
-  const [isRangeOpen, setIsRangeOpen] = useState(true);
-  const [isMentionsPanelOpen, setIsMentionsPanelOpen] = useState(false);
-  const [isEventPanelOpen, setIsEventPanelOpen] = useState(false);
-  const [isMaintenanceOpen, setIsMaintenanceOpen] = useState(false);
-  const [isStoryOpen, setIsStoryOpen] = useState(false);
-  const [isTradesOpen, setIsTradesOpen] = useState(false);
  const [isInsiderOpen, setIsInsiderOpen] = useState(false);
  const [isTechnicalOpen, setIsTechnicalOpen] = useState(true);
-  const [isSimilarDaysOpen, setIsSimilarDaysOpen] = useState(false);
-  const [enrichStartDate, setEnrichStartDate] = useState('');
-  const [enrichEndDate, setEnrichEndDate] = useState('');
-  const [forceEnrich, setForceEnrich] = useState(false);
-  const [onlyLocalToLlm, setOnlyLocalToLlm] = useState(false);
-  const [rebuildStory, setRebuildStory] = useState(true);
-  const [rebuildSimilarDays, setRebuildSimilarDays] = useState(true);

  const {
    availableSymbols,
    selectedTicker,
    holding,
-    tickerSignals,
-    signalSummary,
-    tickerTrades,
-    recentMentions,
    tickerNews,
    visibleNews,
    newsCategories,
    visibleNewsByCategory,
    selectedNewsFreshness,
-    selectedRangeWindow,
-    selectedRangeExplain,
-    latestSignal,
    priceColor,
    exposureWeight,
-    recentTrade,
    ohlcSeries,
    priceSeries,
-    explainSummary,
-    selectedStory,
-    selectedSimilarDays,
-    explainTimeline,
-    availableEventDates,
-    eventCategoryCounts,
-    visibleExplainEvents,
    chartModel
  } = useExplainModel({
    tickers,
@@ -106,10 +55,9 @@ export default function StockExplainView({
    priceHistoryByTicker,
    ohlcHistoryByTicker,
    selectedSymbol,
-    explainEventsSnapshot,
    newsSnapshot,
-    selectedEventDate,
-    activeEventCategory,
+    selectedEventDate: '',
+    activeEventCategory: 'all',
    activeNewsCategory,
    activeNewsSentiment
  });
@@ -125,25 +73,10 @@ export default function StockExplainView({
    }
  }, [availableSymbols, onSelectedSymbolChange, selectedSymbol]);

-  useEffect(() => {
-    if (!availableEventDates.length) {
-      setSelectedEventDate('');
-      return;
-    }
-
-    if (!selectedEventDate || !availableEventDates.includes(selectedEventDate)) {
-      setSelectedEventDate(availableEventDates[0]);
-    }
-  }, [availableEventDates, selectedEventDate]);
-
-  useEffect(() => {
-    setActiveEventCategory('all');
-  }, [selectedSymbol]);
-
  useEffect(() => {
    setActiveNewsCategory('all');
    setActiveNewsSentiment('all');
-  }, [selectedSymbol, selectedEventDate]);
+  }, [selectedSymbol]);

  useEffect(() => {
    if (!selectedSymbol) {
@@ -154,53 +87,17 @@ export default function StockExplainView({
      onRequestHistory(selectedSymbol);
    }

-    if (onRequestExplainEvents && !explainEventsSnapshot) {
-      onRequestExplainEvents(selectedSymbol);
-    }
-
    if (onRequestNews && (!Array.isArray(newsSnapshot?.items) || newsSnapshot.items.length === 0)) {
      onRequestNews(selectedSymbol);
    }
  }, [
-    explainEventsSnapshot,
    newsSnapshot,
    ohlcHistoryByTicker,
-    onRequestExplainEvents,
    onRequestHistory,
    onRequestNews,
    selectedSymbol,
  ]);

-  useEffect(() => {
-    if (!selectedSymbol || !selectedEventDate || !onRequestNewsForDate) {
-      return;
-    }
-    if (Object.prototype.hasOwnProperty.call(newsSnapshot?.byDate || {}, selectedEventDate)) {
-      return;
-    }
-    onRequestNewsForDate(selectedSymbol, selectedEventDate);
-  }, [newsSnapshot, onRequestNewsForDate, selectedEventDate, selectedSymbol]);
-
-  useEffect(() => {
-    if (!selectedSymbol || !onRequestStory || !currentDate) {
-      return;
-    }
-    if (Object.prototype.hasOwnProperty.call(newsSnapshot?.storyCache || {}, currentDate)) {
-      return;
-    }
-    onRequestStory(selectedSymbol, currentDate);
-  }, [currentDate, newsSnapshot, onRequestStory, selectedStory, selectedSymbol]);
-
-  useEffect(() => {
-    if (!selectedSymbol || !selectedEventDate || !onRequestSimilarDays) {
-      return;
-    }
-    if (Object.prototype.hasOwnProperty.call(newsSnapshot?.similarDaysCache || {}, selectedEventDate)) {
-      return;
-    }
-    onRequestSimilarDays(selectedSymbol, selectedEventDate);
-  }, [newsSnapshot, onRequestSimilarDays, selectedEventDate, selectedSimilarDays, selectedSymbol]);
-
  useEffect(() => {
    if (!selectedSymbol || !onRequestTechnicalIndicators) {
      return;
@@ -211,67 +108,6 @@ export default function StockExplainView({
    onRequestTechnicalIndicators(selectedSymbol);
  }, [selectedSymbol, onRequestTechnicalIndicators, technicalIndicatorsSnapshot]);

-  useEffect(() => {
-    if (!selectedRangeWindow || !selectedSymbol || !onRequestRangeExplain) {
-      return;
-    }
-    if (selectedRangeExplain) {
-      return;
-    }
-    onRequestRangeExplain(selectedSymbol, selectedRangeWindow.startDate, selectedRangeWindow.endDate, visibleNews.map((item) => item.id));
-  }, [onRequestRangeExplain, selectedRangeExplain, selectedRangeWindow, selectedSymbol, visibleNews]);
-
-  useEffect(() => {
-    const nextStartDate = selectedRangeWindow?.startDate || selectedEventDate || currentDate || '';
-    const nextEndDate = selectedRangeWindow?.endDate || selectedEventDate || currentDate || '';
-    setEnrichStartDate(nextStartDate);
-    setEnrichEndDate(nextEndDate);
-  }, [currentDate, selectedEventDate, selectedRangeWindow, selectedSymbol]);
-
-  const handleRunStockEnrich = () => {
-    if (!selectedSymbol || !enrichStartDate || !enrichEndDate || !onRequestStockEnrich) {
-      return;
-    }
-    onRequestStockEnrich(selectedSymbol, {
-      startDate: enrichStartDate,
-      endDate: enrichEndDate,
-      force: forceEnrich,
-      onlyLocalToLlm,
-      rebuildStory,
-      rebuildSimilarDays,
-      storyDate: currentDate || enrichEndDate,
-      targetDate: selectedEventDate || enrichEndDate,
-    });
-  };
-
-  const handleSelectHistory = (item) => {
-    if (!item || typeof item !== 'object') {
-      return;
-    }
-    setEnrichStartDate(item.startDate || '');
-    setEnrichEndDate(item.endDate || '');
-    setForceEnrich(Boolean(item.force));
-    setOnlyLocalToLlm(Boolean(item.onlyLocalToLlm));
-    setRebuildStory(Boolean(item.storyStatus));
-    setRebuildSimilarDays(Boolean(item.similarStatus));
-  };
-
-  const handleReplayHistory = (item) => {
-    if (!item || typeof item !== 'object' || !selectedSymbol || !onRequestStockEnrich) {
-      return;
-    }
-    onRequestStockEnrich(selectedSymbol, {
-      startDate: item.startDate || '',
-      endDate: item.endDate || '',
-      force: Boolean(item.force),
-      onlyLocalToLlm: Boolean(item.onlyLocalToLlm),
-      rebuildStory: Boolean(item.storyStatus),
-      rebuildSimilarDays: Boolean(item.similarStatus),
-      storyDate: currentDate || item.endDate || '',
-      targetDate: selectedEventDate || item.endDate || '',
-    });
-  };
-
  return (
    <div className="performance-page">
      <div className="section">
@@ -285,7 +121,6 @@ export default function StockExplainView({
                onClick={() => onSelectedSymbolChange?.(symbol)}
                style={{ display: 'flex', alignItems: 'center', gap: 6 }}
              >
-                <StockLogo ticker={symbol} size={14} />
                <span>{symbol}</span>
              </button>
            ))}
@@ -326,15 +161,6 @@ export default function StockExplainView({
              </div>
            </div>

-            <div className="stat-card">
-              <div className="stat-card-label">最近动作</div>
-              <div className="stat-card-value" style={{ fontSize: 22 }}>
-                {recentTrade ? recentTrade.side === 'LONG' ? '做多' : recentTrade.side === 'SHORT' ? '做空' : recentTrade.side : '暂无'}
-              </div>
-              <div style={{ marginTop: 8, fontSize: 11, color: '#666666' }}>
-                {recentTrade ? `${formatDateTime(recentTrade.timestamp)} · ${recentTrade.qty} 股，成交价 $${Number(recentTrade.price).toFixed(2)}` : '尚无成交'}
-              </div>
-            </div>
          </div>
        )}
      </div>
@@ -347,22 +173,10 @@ export default function StockExplainView({
            selectedHistorySource={selectedHistorySource}
            chartModel={chartModel}
            selectedTicker={selectedTicker}
-            onSelectEventDate={setSelectedEventDate}
            isOpen={isPriceOpen}
            onToggle={() => setIsPriceOpen((prev) => !prev)}
          />

-          <ExplainSummarySection
-            explainSummary={explainSummary}
-            tickerSignals={tickerSignals}
-            recentMentions={recentMentions}
-            tickerTrades={tickerTrades}
-            tickerNews={tickerNews}
-            selectedSymbol={selectedSymbol}
-            isOpen={isSummaryOpen}
-            onToggle={() => setIsSummaryOpen((prev) => !prev)}
-          />
-
          <ExplainNewsSection
            newsSnapshot={newsSnapshot}
            visibleNewsByCategory={visibleNewsByCategory}
@@ -378,45 +192,6 @@ export default function StockExplainView({
            onToggle={() => setIsNewsOpen((prev) => !prev)}
          />

-          <ExplainRangeSection
-            selectedRangeWindow={selectedRangeWindow}
-            selectedRangeExplain={selectedRangeExplain}
-            isOpen={isRangeOpen}
-            onToggle={() => setIsRangeOpen((prev) => !prev)}
-          />
-
-          <ExplainSignalsSection
-            tickerSignals={tickerSignals}
-            signalSummary={signalSummary}
-            latestSignal={latestSignal}
-            eventDateKey={eventDateKey}
-            isOpen={isSignalsOpen}
-            onToggle={() => setIsSignalsOpen((prev) => !prev)}
-          />
-
-          <ExplainStorySection
-            selectedStory={selectedStory}
-            selectedSymbol={selectedSymbol}
-            currentDate={currentDate}
-            isOpen={isStoryOpen}
-            onToggle={() => setIsStoryOpen((prev) => !prev)}
-          />
-
-          <ExplainSimilarDaysSection
-            selectedSimilarDays={selectedSimilarDays}
-            selectedEventDate={selectedEventDate}
-            onSelectSimilarDate={setSelectedEventDate}
-            isOpen={isSimilarDaysOpen}
-            onToggle={() => setIsSimilarDaysOpen((prev) => !prev)}
-          />
-
-          <ExplainTradesSection
-            tickerTrades={tickerTrades}
-            selectedSymbol={selectedSymbol}
-            isOpen={isTradesOpen}
-            onToggle={() => setIsTradesOpen((prev) => !prev)}
-          />
-
          <ExplainInsiderSection
            insiderTrades={insiderTradesSnapshot?.trades || []}
            selectedSymbol={selectedSymbol}
@@ -431,50 +206,6 @@ export default function StockExplainView({
            isOpen={isTechnicalOpen}
            onToggle={() => setIsTechnicalOpen((prev) => !prev)}
          />
-
-          <ExplainMentionsSection
-            recentMentions={recentMentions}
-            isOpen={isMentionsPanelOpen}
-            onToggle={() => setIsMentionsPanelOpen((prev) => !prev)}
-          />
-
-          <ExplainEventsSection
-            explainTimeline={explainTimeline}
-            isOpen={isEventPanelOpen}
-            onToggle={() => setIsEventPanelOpen((prev) => !prev)}
-            availableEventDates={availableEventDates}
-            selectedEventDate={selectedEventDate}
-            onSelectEventDate={setSelectedEventDate}
-            eventCategoryCounts={eventCategoryCounts}
-            activeEventCategory={activeEventCategory}
-            onSelectEventCategory={setActiveEventCategory}
-            eventCategoryMeta={EVENT_CATEGORY_META}
-            visibleExplainEvents={visibleExplainEvents}
-          />
-
-          <ExplainMaintenanceSection
-            selectedSymbol={selectedSymbol}
-            enrichStartDate={enrichStartDate}
-            enrichEndDate={enrichEndDate}
-            onChangeStartDate={setEnrichStartDate}
-            onChangeEndDate={setEnrichEndDate}
-            forceEnrich={forceEnrich}
-            onToggleForce={() => setForceEnrich((prev) => !prev)}
-            onlyLocalToLlm={onlyLocalToLlm}
-            onToggleOnlyLocalToLlm={() => setOnlyLocalToLlm((prev) => !prev)}
-            rebuildStory={rebuildStory}
-            onToggleRebuildStory={() => setRebuildStory((prev) => !prev)}
-            rebuildSimilarDays={rebuildSimilarDays}
-            onToggleRebuildSimilarDays={() => setRebuildSimilarDays((prev) => !prev)}
-            isRunning={Boolean(newsSnapshot?.maintenanceStatus?.running)}
-            onRunEnrich={handleRunStockEnrich}
-            maintenanceStatus={newsSnapshot?.maintenanceStatus || null}
-            maintenanceHistory={newsSnapshot?.maintenanceHistory || []}
-            onSelectHistory={handleSelectHistory}
-            onReplayHistory={handleReplayHistory}
-            isOpen={isMaintenanceOpen}
-            onToggle={() => setIsMaintenanceOpen((prev) => !prev)}
-          />
        </>
      )}
    </div>
--- a/frontend/src/components/StockLogo.jsx
+++ b/frontend/src/components/StockLogo.jsx
@@ -1,28 +0,0 @@
-import React from 'react';
-import { STOCK_LOGOS } from '../config/constants';
-
-/**
- * Stock Logo Component
- * Displays company logo for a given ticker symbol
- */
-export default function StockLogo({ ticker, size = 20 }) {
-  const logoUrl = STOCK_LOGOS[ticker];
-  if (!logoUrl) return null;
-
-  return (
-    <img
-      src={logoUrl}
-      alt={ticker}
-      style={{
-        width: size,
-        height: size,
-        borderRadius: '4px',
-        objectFit: 'contain',
-        marginRight: '8px',
-        verticalAlign: 'middle'
-      }}
-      onError={(e) => { e.target.style.display = 'none'; }}
-    />
-  );
-}
-
--- a/frontend/src/components/TraderView.jsx
+++ b/frontend/src/components/TraderView.jsx
@@ -2,6 +2,7 @@ import React, { useEffect, useMemo, useState } from 'react';
 import { createPortal } from 'react-dom';
 import JSZip from 'jszip';
 import { getModelIcon, getShortModelName } from '../utils/modelIcons';
+import LobeModelLogo from './LobeModelLogo.jsx';

 export default function TraderView({
  agents,
@@ -127,7 +128,7 @@ export default function TraderView({
      padding: '18px',
      background: 'linear-gradient(180deg, #ffffff 0%, #f4f7fb 100%)',
      display: 'grid',
-      gridTemplateRows: 'auto minmax(0, 1fr)',
+      gridTemplateRows: 'auto auto 1fr',
      gap: 18
    }}>
      <div style={{ display: 'grid', gap: 4 }}>
@@ -138,82 +139,86 @@ export default function TraderView({
          聚焦查看每个 Agent 的模型、工具组、技能编排和工作区记忆，不展示交易表现数据
        </div>
      </div>
+
      <div style={{
        display: 'grid',
        gridTemplateColumns: '120px minmax(0, 1fr)',
        gap: 16,
        alignItems: 'stretch',
-        minHeight: 0
+        minHeight: 0,
+        overflow: 'hidden'
      }}>
-          <div style={{
-            border: '1px solid #D9E0E7',
-            borderRadius: 14,
-            background: '#FFFFFF',
-            boxShadow: '0 10px 24px rgba(15, 23, 42, 0.06)',
-            padding: 12,
-            display: 'grid',
-            gap: 10,
-            minHeight: 0,
-            overflowY: 'auto',
-            alignContent: 'start'
-          }}>
-            {agents.map((agent) => {
-              const isSelected = agent.id === selectedAgentId;
-              return (
-                <button
-                  key={agent.id}
-                  type="button"
-                  onClick={() => onAgentChange(agent.id)}
-                  title={agent.name}
+        {/* Left: agent avatar list */}
+        <div style={{
+          border: '1px solid #D9E0E7',
+          borderRadius: 14,
+          background: '#FFFFFF',
+          boxShadow: '0 10px 24px rgba(15, 23, 42, 0.06)',
+          padding: 12,
+          display: 'grid',
+          gap: 10,
+          minHeight: 0,
+          overflowY: 'auto',
+          alignContent: 'start'
+        }}>
+          {agents.map((agent) => {
+            const isSelected = agent.id === selectedAgentId;
+            return (
+              <button
+                key={agent.id}
+                type="button"
+                onClick={() => onAgentChange(agent.id)}
+                title={agent.name}
+                style={{
+                  border: isSelected ? `2px solid ${agent.colors.accent}` : '1px solid #D9E0E7',
+                  borderRadius: 16,
+                  background: isSelected ? `${agent.colors.accent}10` : '#FFFFFF',
+                  boxShadow: isSelected ? `0 10px 20px ${agent.colors.accent}18` : 'none',
+                  padding: 8,
+                  display: 'grid',
+                  gap: 6,
+                  justifyItems: 'center',
+                  cursor: 'pointer'
+                }}
+              >
+                <img
+                  src={agent.avatar}
+                  alt={agent.name}
                  style={{
-                    border: isSelected ? `2px solid ${agent.colors.accent}` : '1px solid #D9E0E7',
-                    borderRadius: 16,
-                    background: isSelected ? `${agent.colors.accent}10` : '#FFFFFF',
-                    boxShadow: isSelected ? `0 10px 20px ${agent.colors.accent}18` : 'none',
-                    padding: 8,
-                    display: 'grid',
-                    gap: 6,
-                    justifyItems: 'center',
-                    cursor: 'pointer'
+                    width: 56,
+                    height: 56,
+                    borderRadius: 14,
+                    objectFit: 'cover',
+                    border: `1px solid ${agent.colors.accent}33`
                  }}
-                >
-                  <img
-                    src={agent.avatar}
-                    alt={agent.name}
-                    style={{
-                      width: 56,
-                      height: 56,
-                      borderRadius: 14,
-                      objectFit: 'cover',
-                      border: `1px solid ${agent.colors.accent}33`
-                    }}
-                  />
-                  <div style={{
-                    fontSize: 10,
-                    fontWeight: 800,
-                    color: isSelected ? agent.colors.accent : '#374151',
-                    textAlign: 'center',
-                    lineHeight: 1.4
-                  }}>
-                    {agent.name}
-                  </div>
-                </button>
-              );
-            })}
-          </div>
+                />
+                <div style={{
+                  fontSize: 10,
+                  fontWeight: 800,
+                  color: isSelected ? agent.colors.accent : '#374151',
+                  textAlign: 'center',
+                  lineHeight: 1.4
+                }}>
+                  {agent.name}
+                </div>
+              </button>
+            );
+          })}
+        </div>

-          <div style={{
-            border: '1px solid #D9E0E7',
-            borderRadius: 14,
-            background: '#FFFFFF',
-            boxShadow: '0 10px 24px rgba(15, 23, 42, 0.06)',
-            padding: 18,
-            display: 'grid',
-            gap: 16,
-            minHeight: 0,
-            overflowY: 'auto',
-            alignContent: 'start'
-          }}>
+        {/* Right: agent detail content */}
+        <div style={{
+          border: '1px solid #D9E0E7',
+          borderRadius: 14,
+          background: '#FFFFFF',
+          boxShadow: '0 10px 24px rgba(15, 23, 42, 0.06)',
+          padding: 18,
+          display: 'grid',
+          gap: 16,
+          minHeight: 0,
+          overflowY: 'auto',
+          alignContent: 'start'
+        }}>
          <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'flex-start', gap: 16, flexWrap: 'wrap' }}>
            <div style={{ display: 'flex', alignItems: 'center', gap: 12 }}>
              <img
@@ -245,13 +250,16 @@ export default function TraderView({
              alignItems: 'center',
              gap: 10
            }}>
-              {modelInfo.logoPath && (
-                <img
-                  src={modelInfo.logoPath}
-                  alt={modelInfo.provider}
-                  style={{ width: 26, height: 26, borderRadius: 999 }}
-                />
-              )}
+              <LobeModelLogo
+                model={profile.model_name}
+                provider={profile.model_provider}
+                fallbackSrc={modelInfo.logoPath}
+                alt={modelInfo.provider}
+                size={26}
+                shape="circle"
+                type="color"
+                style={{ borderRadius: 999 }}
+              />
              <div style={{ display: 'grid', gap: 2 }}>
                <div style={{ fontSize: 11, color: '#4B5563', fontWeight: 700 }}>模型</div>
                <div style={{ fontSize: 12, color: '#111111', fontWeight: 800 }}>
@@ -265,7 +273,8 @@ export default function TraderView({
            display: 'grid',
            gridTemplateColumns: 'minmax(300px, 420px) minmax(0, 1fr)',
            gap: 16,
-            alignItems: 'start'
+            alignItems: 'start',
+            minHeight: 0
          }}>
            <div style={{ display: 'grid', gap: 10 }}>
              <div style={{
@@ -626,7 +635,7 @@ export default function TraderView({
              </div>
            </div>
          </div>
-          </div>
+        </div>
      </div>
      {isSkillPickerOpen && createPortal((
        <div
--- a/frontend/src/components/explain/ExplainPriceSection.jsx
+++ b/frontend/src/components/explain/ExplainPriceSection.jsx
@@ -198,9 +198,6 @@ export default function ExplainPriceSection({
              图表说明：{ohlcSeries.length > 1 ? '历史日线K线' : '基于盘中价格点聚合的简化K线'}
            </div>
            <div style={{ fontSize: 11, color: '#2563eb' }}>蓝点：新闻日期</div>
-            <div style={{ fontSize: 11, color: '#666666' }}>黑点：讨论提及</div>
-            <div style={{ fontSize: 11, color: '#00C853' }}>绿点：偏多信号或做多成交</div>
-            <div style={{ fontSize: 11, color: '#FF1744' }}>红点：偏空信号或做空成交</div>
          </div>
        </div>
      )}
--- a/frontend/src/components/explain/ExplainSummarySection.jsx
+++ b/frontend/src/components/explain/ExplainSummarySection.jsx
@@ -2,8 +2,6 @@ import React from 'react';

 export default function ExplainSummarySection({
  explainSummary,
-  tickerSignals,
-  recentMentions,
  tickerTrades,
  tickerNews,
  selectedSymbol,
@@ -16,7 +14,7 @@ export default function ExplainSummarySection({
        <h2 className="section-title">分析摘要</h2>
        <div style={{ display: 'flex', alignItems: 'center', gap: 12, flexWrap: 'wrap' }}>
          <div style={{ fontSize: 11, color: '#666666' }}>
-            基于当前持仓、信号和讨论自动汇总
+            基于当前持仓、成交和新闻自动汇总
          </div>
          <button
            onClick={onToggle}
@@ -55,17 +53,9 @@ export default function ExplainSummarySection({

        <div style={{ border: '1px solid #000000', background: '#ffffff', padding: 16 }}>
          <div style={{ fontSize: 11, color: '#666666', marginBottom: 12, textTransform: 'uppercase', letterSpacing: 1 }}>
-            信号密度
+            分析概览
          </div>
          <div style={{ display: 'grid', gap: 10 }}>
-            <div style={{ display: 'flex', justifyContent: 'space-between', fontSize: 12 }}>
-              <span>分析师信号</span>
-              <strong>{tickerSignals.length}</strong>
-            </div>
-            <div style={{ display: 'flex', justifyContent: 'space-between', fontSize: 12 }}>
-              <span>讨论提及</span>
-              <strong>{recentMentions.length}</strong>
-            </div>
            <div style={{ display: 'flex', justifyContent: 'space-between', fontSize: 12 }}>
              <span>成交记录</span>
              <strong>{tickerTrades.length}</strong>
@@ -76,7 +66,7 @@ export default function ExplainSummarySection({
            </div>
            <div style={{ height: 1, background: '#e0e0e0', margin: '4px 0' }} />
            <div style={{ fontSize: 12, lineHeight: 1.7, color: '#666666' }}>
-              当前分析优先读取已落库的历史记录，缺失时再回退到本次运行中的实时事件。
+              当前分析综合读取信号、成交、新闻与已生成的解释结果。
            </div>
          </div>
        </div>
--- a/frontend/src/components/explain/useExplainModel.js
+++ b/frontend/src/components/explain/useExplainModel.js
@@ -1,28 +1,16 @@
 import { useMemo } from 'react';
-import { formatDateTime } from '../../utils/formatters';
 import {
  aggregatePriceSeriesToCandles,
  buildLinePath,
  eventDateKey,
-  flattenFeedMessages,
-  includesTicker,
-  normalizeMentionRow,
  normalizeNewsRow,
  normalizeNewsTimelineRow,
  normalizeSignalDirection,
  normalizeSignalRow,
-  normalizeTradeRow,
  parsePointTime,
-  resolveEventCategory,
-  snippetText
+  resolveEventCategory
 } from './explainUtils';

-function tradeSideLabel(value) {
-  if (value === 'LONG') return '做多';
-  if (value === 'SHORT') return '做空';
-  return value || '交易';
-}
-
 export default function useExplainModel({
  tickers,
  holdings,
@@ -55,13 +43,6 @@ export default function useExplainModel({
    [holdings, selectedSymbol]
  );

-  const fallbackTrades = useMemo(
-    () => trades
-      .filter((trade) => trade.ticker === selectedSymbol)
-      .sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime()),
-    [selectedSymbol, trades]
-  );
-
  const tickerSignals = useMemo(() => {
    const snapshotSignals = Array.isArray(explainEventsSnapshot?.signals)
      ? explainEventsSnapshot.signals.map((signal, index) => normalizeSignalRow(signal, index)).filter(Boolean)
@@ -84,45 +65,6 @@ export default function useExplainModel({
    }).sort((a, b) => new Date(b.date).getTime() - new Date(a.date).getTime());
  }, [explainEventsSnapshot, leaderboard, selectedSymbol]);

-  const signalSummary = useMemo(() => {
-    const summary = { bullish: 0, bearish: 0, neutral: 0 };
-    tickerSignals.forEach((signal) => {
-      summary[signal.normalizedDirection] += 1;
-    });
-    return summary;
-  }, [tickerSignals]);
-
-  const fallbackRecentMentions = useMemo(() => {
-    const flattened = flattenFeedMessages(feed);
-    return flattened
-      .filter((message) => message.agent !== 'System' && includesTicker(message.content, selectedSymbol))
-      .sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime())
-      .slice(0, 8);
-  }, [feed, selectedSymbol]);
-
-  const tickerTrades = useMemo(() => {
-    const snapshotTrades = Array.isArray(explainEventsSnapshot?.trades)
-      ? explainEventsSnapshot.trades.map((trade, index) => normalizeTradeRow(trade, index)).filter(Boolean)
-      : [];
-    if (snapshotTrades.length > 0) {
-      return snapshotTrades.sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime());
-    }
-    return fallbackTrades;
-  }, [explainEventsSnapshot, fallbackTrades]);
-
-  const recentMentions = useMemo(() => {
-    const snapshotMentions = Array.isArray(explainEventsSnapshot?.events)
-      ? explainEventsSnapshot.events
-        .map((event, index) => normalizeMentionRow(event, index))
-        .filter(Boolean)
-        .slice(0, 8)
-      : [];
-    if (snapshotMentions.length > 0) {
-      return snapshotMentions.sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime());
-    }
-    return fallbackRecentMentions;
-  }, [explainEventsSnapshot, fallbackRecentMentions]);
-
  const tickerNews = useMemo(() => {
    const items = Array.isArray(newsSnapshot?.items)
      ? newsSnapshot.items.map((item, index) => normalizeNewsRow(item, index)).filter(Boolean)
@@ -140,16 +82,7 @@ export default function useExplainModel({
    return rows.map((item, index) => normalizeNewsRow(item, index)).filter(Boolean);
  }, [newsSnapshot, selectedEventDate]);

-  const visibleNews = useMemo(() => {
-    if (!selectedEventDate) {
-      return tickerNews;
-    }
-    if (dateScopedNews.length > 0) {
-      return dateScopedNews.sort((a, b) => new Date(b.date).getTime() - new Date(a.date).getTime());
-    }
-    const scoped = tickerNews.filter((item) => item.dateKey === selectedEventDate);
-    return scoped.length > 0 ? scoped : tickerNews;
-  }, [dateScopedNews, selectedEventDate, tickerNews]);
+  const visibleNews = useMemo(() => tickerNews, [tickerNews]);

  const tickerNewsTimeline = useMemo(() => {
    const items = Array.isArray(newsSnapshot?.timeline)
@@ -215,28 +148,13 @@ export default function useExplainModel({
    return storyCache[keys[keys.length - 1]] || null;
  }, [newsSnapshot]);

-  const selectedSimilarDays = useMemo(() => {
-    if (!selectedEventDate) {
-      return null;
-    }
-    const similarCache = newsSnapshot?.similarDaysCache;
-    if (!similarCache || typeof similarCache !== 'object') {
-      return null;
-    }
-    return similarCache[selectedEventDate] || null;
-  }, [newsSnapshot, selectedEventDate]);
+  const selectedNewsFreshness = useMemo(
+    () => newsSnapshot?.freshness || newsSnapshot?.categoriesFreshness || newsSnapshot?.timelineFreshness || null,
+    [newsSnapshot]
+  );

-  const selectedNewsFreshness = useMemo(() => {
-    if (selectedEventDate && newsSnapshot?.byDateFreshness?.[selectedEventDate]) {
-      return newsSnapshot.byDateFreshness[selectedEventDate];
-    }
-    return newsSnapshot?.categoriesFreshness || newsSnapshot?.timelineFreshness || newsSnapshot?.freshness || null;
-  }, [newsSnapshot, selectedEventDate]);
-
-  const latestSignal = tickerSignals[0] || null;
  const priceColor = selectedTicker?.change > 0 ? '#00C853' : selectedTicker?.change < 0 ? '#FF1744' : '#000000';
  const exposureWeight = holding && Number.isFinite(Number(holding.weight)) ? Number(holding.weight) * 100 : null;
-  const recentTrade = tickerTrades[0] || null;

  const ohlcSeries = useMemo(() => {
    const raw = ohlcHistoryByTicker?.[selectedSymbol];
@@ -248,38 +166,6 @@ export default function useExplainModel({
    return Array.isArray(raw) ? raw.filter((point) => Number.isFinite(Number(point.price))).slice(-60) : [];
  }, [priceHistoryByTicker, selectedSymbol]);

-  const explainSummary = useMemo(() => {
-    if (!selectedSymbol) return [];
-    const lines = [];
-
-    if (latestSignal) {
-      const directionText = latestSignal.normalizedDirection === 'bullish'
-        ? '偏多'
-        : latestSignal.normalizedDirection === 'bearish'
-          ? '偏空'
-          : '观望';
-      lines.push(`最新分析师结论为${directionText}，来自${latestSignal.agentName}。`);
-    } else {
-      lines.push('当前还没有形成结构化分析师信号，更多依赖讨论内容和持仓状态。');
-    }
-
-    if (holding) {
-      lines.push(`组合当前持有 ${selectedSymbol}，权重约 ${exposureWeight != null ? `${exposureWeight.toFixed(2)}%` : '0.00%'}。`);
-    } else {
-      lines.push(`组合当前未持有 ${selectedSymbol}，仍处于观察阶段。`);
-    }
-
-    if (recentTrade) {
-      lines.push(`最近一次相关交易为${tradeSideLabel(recentTrade.side)}，时间是 ${formatDateTime(recentTrade.timestamp)}。`);
-    }
-
-    if (recentMentions.length > 0) {
-      lines.push(`最近讨论中共有 ${recentMentions.length} 条直接提及 ${selectedSymbol} 的观点。`);
-    }
-
-    return lines;
-  }, [exposureWeight, holding, latestSignal, recentMentions.length, recentTrade, selectedSymbol]);
-
  const explainTimeline = useMemo(() => {
    const signalEvents = tickerSignals.slice(0, 12).map((signal, index) => ({
      id: `signal-${signal.agentId}-${signal.date}-${index}`,
@@ -293,27 +179,7 @@ export default function useExplainModel({
      tone: signal.normalizedDirection === 'bullish' ? 'positive' : signal.normalizedDirection === 'bearish' ? 'negative' : 'neutral'
    }));

-    const mentionEvents = recentMentions.slice(0, 12).map((message, index) => ({
-      id: `mention-${message.feedId || message.id}-${index}`,
-      type: 'mention',
-      timestamp: message.timestamp,
-      title: `${message.agent || '未知角色'}在${message.conferenceTitle || '讨论流'}中提及 ${selectedSymbol}`,
-      meta: message.conferenceTitle || (message.feedType === 'conference' ? '投资讨论' : '即时消息'),
-      body: snippetText(message.content, selectedSymbol),
-      tone: 'neutral'
-    }));
-
-    const tradeEvents = tickerTrades.slice(0, 12).map((trade, index) => ({
-      id: `trade-${trade.id || `${trade.ticker}-${trade.timestamp}-${index}`}`,
-      type: 'trade',
-      timestamp: trade.timestamp,
-      title: `${tradeSideLabel(trade.side)} ${trade.qty} 股`,
-      meta: '交易执行',
-      body: `成交价 $${Number(trade.price).toFixed(2)}`,
-      tone: trade.side === 'LONG' ? 'positive' : trade.side === 'SHORT' ? 'negative' : 'neutral'
-    }));
-
-    const fallbackTimeline = [...signalEvents, ...mentionEvents, ...tradeEvents]
+    const fallbackTimeline = [...signalEvents]
      .sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime())
      .slice(0, 24)
      .map((event) => ({
@@ -356,49 +222,7 @@ export default function useExplainModel({
      })
      .filter(Boolean);

-    const dbMentionEvents = (Array.isArray(explainEventsSnapshot.events) ? explainEventsSnapshot.events : [])
-      .map((event, index) => {
-        if (event?.type === 'mention' && event?.timestamp) {
-          return event;
-        }
-        const normalized = normalizeMentionRow(event, index);
-        if (!normalized) return null;
-        return {
-          id: normalized.id,
-          type: 'mention',
-          timestamp: normalized.timestamp,
-          title: `${normalized.agent || '未知角色'}在${normalized.conferenceTitle || '讨论流'}中提及 ${selectedSymbol}`,
-          meta: normalized.conferenceTitle || (normalized.feedType === 'conference' ? '投资讨论' : '即时消息'),
-          body: snippetText(normalized.content, selectedSymbol),
-          tone: 'neutral'
-        };
-      })
-      .filter(Boolean);
-
-    const dbTradeEvents = (Array.isArray(explainEventsSnapshot.trades) ? explainEventsSnapshot.trades : [])
-      .map((trade, index) => {
-        if (trade?.type === 'trade' && trade?.timestamp) {
-          return trade;
-        }
-        const normalized = normalizeTradeRow(trade, index);
-        if (!normalized) return null;
-        return {
-          id: normalized.id,
-          type: 'trade',
-          timestamp: normalized.timestamp,
-          title: `${tradeSideLabel(normalized.side)} ${normalized.qty} 股`,
-          meta: '交易执行',
-          body: `成交价 $${Number(normalized.price).toFixed(2)}`,
-          tone: normalized.side === 'LONG' ? 'positive' : normalized.side === 'SHORT' ? 'negative' : 'neutral'
-        };
-      })
-      .filter(Boolean);
-
-    const dbEvents = [
-      ...dbSignalEvents,
-      ...dbMentionEvents,
-      ...dbTradeEvents
-    ]
+    const dbEvents = [...dbSignalEvents]
      .sort((a, b) => new Date(b.timestamp).getTime() - new Date(a.timestamp).getTime())
      .slice(0, 24)
      .map((event) => ({
@@ -408,7 +232,7 @@ export default function useExplainModel({
      }));

    return dbEvents.length > 0 ? dbEvents : fallbackTimeline;
-  }, [explainEventsSnapshot, recentMentions, selectedSymbol, tickerSignals, tickerTrades]);
+  }, [explainEventsSnapshot, selectedSymbol, tickerSignals]);

  const availableEventDates = useMemo(
    () => Array.from(new Set(explainTimeline.map((event) => event.dateKey).filter(Boolean))),
@@ -644,9 +468,6 @@ export default function useExplainModel({
    selectedTicker,
    holding,
    tickerSignals,
-    signalSummary,
-    tickerTrades,
-    recentMentions,
    tickerNews,
    visibleNews,
    newsCategories,
@@ -655,14 +476,10 @@ export default function useExplainModel({
    selectedRangeWindow,
    selectedRangeExplain,
    selectedStory,
-    selectedSimilarDays,
-    latestSignal,
    priceColor,
    exposureWeight,
-    recentTrade,
    ohlcSeries,
    priceSeries,
-    explainSummary,
    explainTimeline,
    availableEventDates,
    eventCategoryCounts,
--- a/frontend/src/components/explain/useExplainModel.test.jsx
+++ b/frontend/src/components/explain/useExplainModel.test.jsx
@@ -117,7 +117,7 @@ describe('useExplainModel', () => {
    const { result } = renderHook(() => useExplainModel(buildBaseProps()));

    expect(result.current.availableSymbols).toEqual(['AAPL']);
-    expect(result.current.visibleNews).toHaveLength(1);
+    expect(result.current.visibleNews).toHaveLength(2);
    expect(result.current.visibleNewsByCategory).toHaveLength(1);
    expect(result.current.visibleNewsByCategory[0].id).toBe('news-1');
    expect(result.current.selectedRangeWindow).toEqual({
@@ -127,18 +127,12 @@ describe('useExplainModel', () => {
    expect(result.current.selectedRangeExplain).toEqual({
      summary: '区间内主要由财报催化推动。'
    });
-    expect(result.current.selectedSimilarDays?.items).toHaveLength(1);
  });

  it('builds timeline, counts, and chart markers from explain data', () => {
    const { result } = renderHook(() => useExplainModel(buildBaseProps()));

    expect(result.current.availableEventDates).toContain('2026-03-10');
-    expect(result.current.eventCategoryCounts.all).toBe(3);
-    expect(result.current.eventCategoryCounts.technical).toBe(1);
-    expect(result.current.eventCategoryCounts.discussion).toBe(1);
-    expect(result.current.eventCategoryCounts.trade).toBe(1);
-    expect(result.current.visibleExplainEvents).toHaveLength(3);
    expect(result.current.chartModel.markers.length).toBeGreaterThan(0);
    expect(result.current.chartModel.path).toMatch(/^M/);
  });
--- a/frontend/src/config/constants.js
+++ b/frontend/src/config/constants.js
@@ -36,15 +36,6 @@ export const CDN_ASSETS = {
    "Groq": "https://img.alicdn.com/imgextra/i1/O1CN01WxASMc1QjXzhVl3eQ_!!6000000002012-2-tps-170-148.png",
    "Ollama": "https://img.alicdn.com/imgextra/i1/O1CN01pN615e1i4vxLkQjVd_!!6000000004360-2-tps-204-192.png",
  },
-  stockLogos: {
-    "TSLA": "https://img.alicdn.com/imgextra/i4/O1CN01Pch4DD1DDrad8BQAQ_!!6000000000183-2-tps-128-128.png",
-    "AMZN": "https://img.alicdn.com/imgextra/i3/O1CN01KMsfnU25Wd4MGSgue_!!6000000007534-2-tps-128-128.png",
-    "NVDA": "https://img.alicdn.com/imgextra/i4/O1CN01Lq1eJr1mLeslgx6a0_!!6000000004938-2-tps-128-128.png",
-    "GOOGL": "https://img.alicdn.com/imgextra/i2/O1CN01kjJJbb25B6SESkOCn_!!6000000007487-2-tps-128-128.png",
-    "MSFT": "https://img.alicdn.com/imgextra/i4/O1CN01tdlNtQ1aFS7vHYfMG_!!6000000003300-2-tps-128-128.png",
-    "AAPL": "https://img.alicdn.com/imgextra/i4/O1CN01r0GH0q1diiHHOwxiO_!!6000000003770-2-tps-128-128.png",
-    "META": "https://img.alicdn.com/imgextra/i3/O1CN01pWAvHt1IkRqZoUG96_!!6000000000931-2-tps-130-96.png",
-  }
 };

 // Derived asset shortcuts
@@ -54,9 +45,6 @@ export const ASSETS = {
  remeLogo: CDN_ASSETS.companyRoom.reme_logo,
 };

-// Stock logos mapping
-export const STOCK_LOGOS = { ...CDN_ASSETS.stockLogos };
-
 // Scene dimensions (actual image size)
 export const SCENE_NATIVE = { width: 1248, height: 832 };

--- a/frontend/src/hooks/useOpenClawPanel.js
+++ b/frontend/src/hooks/useOpenClawPanel.js
@@ -0,0 +1,356 @@
+import { useCallback } from "react";
+import { useOpenClawStore } from "../store/openclawStore";
+
+const RETRY_DELAY_MS = 250;
+
+function sendWithRetry(clientRef, payload, retries = 3) {
+  const attemptSend = (remaining) => {
+    const client = clientRef.current;
+    if (!client) return false;
+    const sent = client.send(typeof payload === "string" ? payload : JSON.stringify(payload));
+    if (sent || remaining <= 0) return sent;
+    window.setTimeout(() => attemptSend(remaining - 1), RETRY_DELAY_MS);
+    return false;
+  };
+  return attemptSend(retries);
+}
+
+export function useOpenClawPanel() {
+  // Access store state directly — do NOT destructure store as a useCallback dep
+  // or every store update will recreate all callbacks and trigger infinite loops.
+  const getStore = () => useOpenClawStore.getState();
+
+  const requestStatus = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setStatusLoading(true);
+    store.setStatusError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_status" });
+  }, []);
+
+  const requestSessions = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setSessionsLoading(true);
+    store.setSessionsError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_sessions" });
+  }, []);
+
+  const requestSessionDetail = useCallback((sessionKey) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setSelectedSessionKey(sessionKey);
+    store.setSessionDetailLoading(true);
+    store.setSessionDetailError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_session_detail", session_key: sessionKey });
+  }, []);
+
+  const requestSessionHistory = useCallback((sessionKey, limit = 20) => {
+    const client = getStore().clientRef?.current;
+    if (!client) return;
+    sendWithRetry({ current: client }, {
+      type: "get_openclaw_session_history",
+      session_key: sessionKey,
+      limit,
+    });
+  }, []);
+
+  const resolveSession = useCallback(({ agentId, label = null, channel = null, includeGlobal = true }) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setChatError?.(null);
+    sendWithRetry({ current: client }, {
+      type: "openclaw_resolve_session",
+      agent_id: agentId,
+      label,
+      channel,
+      include_global: includeGlobal,
+    });
+  }, []);
+
+  const createSession = useCallback(({ agentId, label = null, model = null, initialMessage = null }) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client || !agentId) return;
+    store.setChatError?.(null);
+    sendWithRetry({ current: client }, {
+      type: "openclaw_create_session",
+      agent_id: agentId,
+      label,
+      model,
+      initial_message: initialMessage,
+    });
+  }, []);
+
+  const subscribeSession = useCallback((sessionKey) => {
+    const client = getStore().clientRef?.current;
+    if (!client || !sessionKey) return;
+    sendWithRetry({ current: client }, {
+      type: "openclaw_subscribe_session",
+      session_key: sessionKey,
+    });
+  }, []);
+
+  const unsubscribeSession = useCallback((sessionKey) => {
+    const client = getStore().clientRef?.current;
+    if (!client || !sessionKey) return;
+    sendWithRetry({ current: client }, {
+      type: "openclaw_unsubscribe_session",
+      session_key: sessionKey,
+    });
+  }, []);
+
+  const resetSession = useCallback((sessionKey) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client || !sessionKey) return;
+    store.setChatError?.(null);
+    sendWithRetry({ current: client }, {
+      type: "openclaw_reset_session",
+      session_key: sessionKey,
+    });
+  }, []);
+
+  const deleteSession = useCallback((sessionKey) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client || !sessionKey) return;
+    store.setChatError?.(null);
+    sendWithRetry({ current: client }, {
+      type: "openclaw_delete_session",
+      session_key: sessionKey,
+    });
+  }, []);
+
+  const sendSessionMessage = useCallback((sessionKey, message, thinking = null) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client || !sessionKey || !message?.trim()) return;
+    sendWithRetry({ current: client }, {
+      type: "openclaw_subscribe_session",
+      session_key: sessionKey,
+    });
+    store.setOpenclawChatSendingForSession?.(sessionKey, true);
+    store.setChatError?.(null);
+    sendWithRetry({ current: client }, {
+      type: "openclaw_send_message",
+      session_key: sessionKey,
+      message: message.trim(),
+      thinking,
+    });
+  }, []);
+
+  const requestCron = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setCronLoading(true);
+    store.setCronError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_cron" });
+  }, []);
+
+  const requestApprovals = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setApprovalsLoading(true);
+    store.setApprovalsError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_approvals" });
+  }, []);
+
+  const requestAgents = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setAgentsLoading(true);
+    store.setAgentsError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_agents" });
+  }, []);
+
+  const requestAgentsPresence = useCallback(() => {
+    const client = getStore().clientRef?.current;
+    if (!client) return;
+    sendWithRetry({ current: client }, { type: "get_openclaw_agents_presence" });
+  }, []);
+
+  const requestSkills = useCallback((agentId = null) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setSkillsLoading(true);
+    store.setSkillsError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_skills", agent_id: agentId });
+  }, []);
+
+  const requestModels = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setModelsLoading(true);
+    store.setModelsError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_models" });
+  }, []);
+
+  const requestHooks = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setHooksLoading(true);
+    store.setHooksError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_hooks" });
+  }, []);
+
+  const requestPlugins = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setPluginsLoading(true);
+    store.setPluginsError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_plugins" });
+  }, []);
+
+  const requestSecretsAudit = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setSecretsAuditLoading(true);
+    store.setSecretsAuditError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_secrets_audit" });
+  }, []);
+
+  const requestSecurityAudit = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setSecurityAuditLoading(true);
+    store.setSecurityAuditError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_security_audit" });
+  }, []);
+
+  const requestDaemonStatus = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setDaemonStatusLoading(true);
+    store.setDaemonStatusError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_daemon_status" });
+  }, []);
+
+  const requestPairing = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setPairingLoading(true);
+    store.setPairingError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_pairing" });
+  }, []);
+
+  const requestQrCode = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setQrCodeLoading(true);
+    store.setQrCodeError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_qr" });
+  }, []);
+
+  const requestUpdateStatus = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setUpdateStatusLoading(true);
+    store.setUpdateStatusError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_update_status" });
+  }, []);
+
+  const requestModelsAliases = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setModelsAliasesLoading(true);
+    store.setModelsAliasesError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_models_aliases" });
+  }, []);
+
+  const requestModelsFallbacks = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setModelsFallbacksLoading(true);
+    store.setModelsFallbacksError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_models_fallbacks" });
+  }, []);
+
+  const requestModelsImageFallbacks = useCallback(() => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setModelsImageFallbacksLoading(true);
+    store.setModelsImageFallbacksError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_models_image_fallbacks" });
+  }, []);
+
+  const requestSkillUpdate = useCallback((slug = null, all = false) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client) return;
+    store.setSkillUpdateLoading(true);
+    store.setSkillUpdateError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_skill_update", slug, all });
+  }, []);
+
+  const requestWorkspaceFiles = useCallback((workspace) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client || !workspace) return;
+    store.setWorkspaceFilesLoading(true);
+    store.setWorkspaceFilesError(null);
+    sendWithRetry({ current: client }, { type: "get_openclaw_workspace_files", workspace });
+  }, []);
+
+  const requestWorkspaceFile = useCallback((agent_id, file_name) => {
+    const store = getStore();
+    const client = store.clientRef?.current;
+    if (!client || !agent_id || !file_name) return;
+    console.log("[DEBUG] requestWorkspaceFile:", { type: "get_openclaw_workspace_file", agent_id, file_name });
+    sendWithRetry({ current: client }, { type: "get_openclaw_workspace_file", agent_id, file_name });
+  }, []);
+
+  return {
+    requestStatus,
+    requestSessions,
+    requestSessionDetail,
+    requestSessionHistory,
+    resolveSession,
+    createSession,
+    subscribeSession,
+    unsubscribeSession,
+    resetSession,
+    deleteSession,
+    sendSessionMessage,
+    requestCron,
+    requestApprovals,
+    requestAgents,
+    requestAgentsPresence,
+    requestSkills,
+    requestModels,
+    requestHooks,
+    requestPlugins,
+    requestSecretsAudit,
+    requestSecurityAudit,
+    requestDaemonStatus,
+    requestPairing,
+    requestQrCode,
+    requestUpdateStatus,
+    requestModelsAliases,
+    requestModelsFallbacks,
+    requestModelsImageFallbacks,
+    requestSkillUpdate,
+    requestWorkspaceFiles,
+    requestWorkspaceFile,
+  };
+}
--- a/frontend/src/hooks/useWebSocketConnection.js
+++ b/frontend/src/hooks/useWebSocketConnection.js
@@ -2,6 +2,7 @@ import { useEffect, useRef, useCallback } from 'react';
 import { AGENTS } from '../config/constants';
 import { ReadOnlyClient } from '../services/websocket';
 import { useRuntimeStore } from '../store/runtimeStore';
+import { useOpenClawStore } from '../store/openclawStore';
 import { useMarketStore } from '../store/marketStore';
 import { usePortfolioStore } from '../store/portfolioStore';
 import { useAgentStore } from '../store/agentStore';
@@ -65,6 +66,306 @@ function buildTickersFromSymbols(symbols, previousTickers = []) {
    });
 }

+function normalizeOpenClawHistoryItems(history) {
+  if (!Array.isArray(history)) {
+    return [];
+  }
+
+  return history
+    .map((item, index) => {
+      const role = item?.role || item?.senderRole || item?.kind || item?.type || 'event';
+      const isFinal = hasOpenClawFinalTag(item);
+      const text = extractOpenClawText(item);
+      if (!shouldKeepOpenClawMessage(item)) {
+        return null;
+      }
+      const timestamp = item?.timestamp || item?.ts || item?.createdAt || item?.time || null;
+      const nestedMeta = item?.message?.__openclaw || item?.__openclaw || null;
+      const seq = item?.messageSeq ?? item?.seq ?? nestedMeta?.seq ?? null;
+      const messageId = item?.messageId ?? item?.id ?? nestedMeta?.id ?? null;
+
+      return {
+        id: messageId || (seq !== null ? `seq:${seq}` : `${timestamp || 'history'}:${index}`),
+        role,
+        text: String(text || ''),
+        timestamp,
+        seq,
+        messageId,
+        isFinal,
+        raw: item,
+      };
+    })
+    .filter(Boolean);
+}
+
+function unwrapOpenClawFinal(value) {
+  if (typeof value !== 'string') {
+    return null;
+  }
+  const match = value.match(/<final>([\s\S]*?)<\/final>/i);
+  if (!match) {
+    return null;
+  }
+  return match[1].trim();
+}
+
+function stripOpenClawFinalTags(value) {
+  if (typeof value !== 'string') {
+    return value ? String(value) : '';
+  }
+  return value.replace(/<\/?final>/gi, '').trim();
+}
+
+function shouldHideOpenClawMessage({ role, text }) {
+  const normalizedRole = String(role || '').toLowerCase();
+  const normalizedText = String(text || '').trim();
+
+  if (normalizedRole === 'system') {
+    return true;
+  }
+
+  if (normalizedRole === 'user') {
+    if (normalizedText.startsWith('Sender (untrusted metadata):')) {
+      return true;
+    }
+    if (normalizedText.startsWith('[Fri ') || normalizedText.startsWith('[Sat ') || normalizedText.startsWith('[Sun ')
+      || normalizedText.startsWith('[Mon ') || normalizedText.startsWith('[Tue ') || normalizedText.startsWith('[Wed ')
+      || normalizedText.startsWith('[Thu ')) {
+      return true;
+    }
+  }
+
+  return false;
+}
+
+function shouldKeepOpenClawMessage(item) {
+  const role = item?.role || item?.senderRole || item?.kind || item?.type || 'event';
+  const text = extractOpenClawText(item);
+  const isFinal = hasOpenClawFinalTag(item);
+
+  if (shouldHideOpenClawMessage({ role, text })) {
+    return false;
+  }
+
+  const normalizedRole = String(role || '').toLowerCase();
+  if (normalizedRole === 'assistant') {
+    return isFinal;
+  }
+
+  if (!normalizedRole || normalizedRole === 'event') {
+    return isFinal;
+  }
+
+  return true;
+}
+
+function hasOpenClawFinalTag(item) {
+  if (typeof item === 'string') {
+    return /<final>[\s\S]*?<\/final>/i.test(item);
+  }
+
+  if (!item || typeof item !== 'object') {
+    return false;
+  }
+
+  const candidates = [];
+  if (typeof item.text === 'string') candidates.push(item.text);
+  if (typeof item.message === 'string') candidates.push(item.message);
+  if (typeof item.content === 'string') candidates.push(item.content);
+
+  const nestedMessage = item.message && typeof item.message === 'object' ? item.message : null;
+  if (nestedMessage) {
+    if (typeof nestedMessage.content === 'string') candidates.push(nestedMessage.content);
+    if (Array.isArray(nestedMessage.content)) {
+      nestedMessage.content.forEach((entry) => {
+        if (typeof entry === 'string') candidates.push(entry);
+        if (entry?.type === 'text' && typeof entry?.text === 'string') candidates.push(entry.text);
+      });
+    }
+  }
+
+  if (Array.isArray(item.content)) {
+    item.content.forEach((entry) => {
+      if (typeof entry === 'string') candidates.push(entry);
+      if (entry?.type === 'text' && typeof entry?.text === 'string') candidates.push(entry.text);
+    });
+  }
+
+  return candidates.some((value) => /<final>[\s\S]*?<\/final>/i.test(value));
+}
+
+function extractOpenClawText(item) {
+  if (typeof item === 'string') {
+    return unwrapOpenClawFinal(item) || stripOpenClawFinalTags(item);
+  }
+
+  if (!item || typeof item !== 'object') {
+    return item ? String(item) : '';
+  }
+
+  if (typeof item.text === 'string' && item.text.trim()) {
+    return unwrapOpenClawFinal(item.text) || stripOpenClawFinalTags(item.text);
+  }
+  if (typeof item.message === 'string' && item.message.trim()) {
+    return unwrapOpenClawFinal(item.message) || stripOpenClawFinalTags(item.message);
+  }
+  if (typeof item.content === 'string' && item.content.trim()) {
+    return unwrapOpenClawFinal(item.content) || stripOpenClawFinalTags(item.content);
+  }
+
+  const nestedMessage = item.message && typeof item.message === 'object' ? item.message : null;
+  if (nestedMessage) {
+    if (typeof nestedMessage.content === 'string' && nestedMessage.content.trim()) {
+      return unwrapOpenClawFinal(nestedMessage.content) || stripOpenClawFinalTags(nestedMessage.content);
+    }
+    if (Array.isArray(nestedMessage.content)) {
+      const textBlock = nestedMessage.content.find((entry) => entry?.type === 'text' && typeof entry?.text === 'string');
+      if (textBlock?.text) {
+        return unwrapOpenClawFinal(textBlock.text) || stripOpenClawFinalTags(textBlock.text);
+      }
+    }
+  }
+
+  if (Array.isArray(item.content)) {
+    const textParts = item.content
+      .map((entry) => {
+        if (typeof entry === 'string') return entry;
+        if (entry?.type === 'text' && typeof entry?.text === 'string') return entry.text;
+        return '';
+      })
+      .filter(Boolean);
+    if (textParts.length > 0) {
+      const merged = textParts.join('\n');
+      return unwrapOpenClawFinal(merged) || stripOpenClawFinalTags(merged);
+    }
+  }
+
+  if (typeof item.summary === 'string' && item.summary.trim()) {
+    return item.summary;
+  }
+  if (typeof item.value === 'string' && item.value.trim()) {
+    return item.value;
+  }
+
+  return JSON.stringify(item);
+}
+
+function normalizeOpenClawLiveEvent(evt) {
+  const payload = evt?.payload || {};
+  const nestedMessage = payload?.message && typeof payload.message === 'object' ? payload.message : null;
+  const nestedMeta = nestedMessage?.__openclaw || payload?.__openclaw || null;
+  const isFinal = hasOpenClawFinalTag(payload);
+  const text = extractOpenClawText(payload) || evt?.event || '';
+  const role =
+    payload.role
+    || nestedMessage?.role
+    || payload.senderRole
+    || payload.kind
+    || evt?.event
+    || 'event';
+  const seq = payload.messageSeq ?? payload.seq ?? nestedMeta?.seq ?? null;
+  const messageId = payload.messageId ?? payload.id ?? nestedMeta?.id ?? null;
+
+  return {
+    id: messageId || (seq !== null ? `seq:${seq}` : `${evt?.event || 'event'}:${Date.now()}`),
+    role,
+    text: String(text),
+    timestamp: payload.timestamp || payload.ts || new Date().toISOString(),
+    seq,
+    messageId,
+    isFinal,
+    raw: payload,
+  };
+}
+
+function shouldAppendOpenClawLiveEvent(evt) {
+  const name = String(evt?.event || '');
+  const payload = evt?.payload || {};
+  if (name === 'session.message') {
+    return shouldKeepOpenClawMessage(payload);
+  }
+  return Boolean(payload.text || payload.message || payload.content);
+}
+
+function requestOpenClawSessionHistory(clientRef, sessionKey, limit = 30) {
+  const client = clientRef?.current;
+  if (!client || !sessionKey) {
+    return false;
+  }
+  return client.send(JSON.stringify({
+    type: 'get_openclaw_session_history',
+    session_key: sessionKey,
+    limit,
+  }));
+}
+
+function normalizeOpenClawAgents(agents, presence, sessionsPayload = null) {
+  const normalizedAgents = Array.isArray(agents) ? agents : [];
+  const presenceAgents = presence?.agents || presence || {};
+  const sessionDefaults = sessionsPayload?.defaults || {};
+  const sessions = Array.isArray(sessionsPayload?.sessions) ? sessionsPayload.sessions : [];
+
+  const sessionModelByAgent = new Map();
+  sessions.forEach((session) => {
+    if (!session || typeof session !== 'object') return;
+    let agentId = String(session.agentId || session.agent_id || '').trim();
+    if (!agentId) {
+      const key = String(session.key || session.sessionKey || '').trim();
+      const parts = key.split(':');
+      if (parts.length >= 3 && parts[0] === 'agent') {
+        agentId = parts[1];
+      }
+    }
+    const modelValue =
+      session.model ||
+      session.modelName ||
+      session.model_name ||
+      session.resolvedModel ||
+      session.resolved_model ||
+      null;
+    if (agentId && modelValue && !sessionModelByAgent.has(agentId)) {
+      sessionModelByAgent.set(agentId, modelValue);
+    }
+  });
+
+  return normalizedAgents.map((agent) => {
+    if (!agent || typeof agent !== 'object') {
+      return agent;
+    }
+
+    const agentId = String(agent.id || agent.agentId || '').trim();
+    const presenceEntry = agentId ? presenceAgents?.[agentId] : null;
+    const presenceSessions = Array.isArray(presenceEntry?.sessions) ? presenceEntry.sessions : [];
+    const firstPresenceSession = presenceSessions.find((session) => {
+      const value = session?.model || session?.modelName || session?.model_name || session?.resolvedModel;
+      return typeof value === 'string' && value.trim();
+    });
+
+    const model =
+      agent.model ||
+      agent.modelName ||
+      agent.model_name ||
+      agent.resolvedModel ||
+      agent.resolved_model ||
+      agent.defaultModel ||
+      agent.default_model ||
+      sessionModelByAgent.get(agentId) ||
+      sessionDefaults.model ||
+      sessionDefaults.modelName ||
+      sessionDefaults.model_name ||
+      firstPresenceSession?.model ||
+      firstPresenceSession?.modelName ||
+      firstPresenceSession?.model_name ||
+      firstPresenceSession?.resolvedModel ||
+      null;
+
+    return {
+      ...agent,
+      model: typeof model === 'string' && model.trim() ? model.trim() : null,
+    };
+  });
+}
+
 /**
 * Custom hook for WebSocket connection lifecycle and event handling.
 * Manages clientRef, connection, and ALL event handlers.
@@ -797,7 +1098,337 @@ export function useWebSocketConnection({

        fast_forward_success: (e) => {
          console.log(`✅ ${e.message}`);
-        }
+        },
+
+        openclaw_status_loaded: (e) => {
+          useOpenClawStore.getState().setOpenclawStatus(e.data || e);
+          useOpenClawStore.getState().setStatusLoading(false);
+        },
+        openclaw_sessions_loaded: (e) => {
+          const payload = e.data || e;
+          useOpenClawStore.getState().setOpenclawSessions(payload);
+          const currentAgents = useOpenClawStore.getState().agents || [];
+          const presence = useOpenClawStore.getState().agentsPresence;
+          if (currentAgents.length > 0) {
+            useOpenClawStore.getState().setAgents(
+              normalizeOpenClawAgents(currentAgents, presence, payload),
+            );
+          }
+          useOpenClawStore.getState().setSessionsLoading(false);
+        },
+        openclaw_session_detail_loaded: (e) => {
+          useOpenClawStore.getState().setOpenclawSessionDetail(e.data || e);
+          useOpenClawStore.getState().setSessionDetailLoading(false);
+        },
+        openclaw_session_history_loaded: (e) => {
+          const data = e.data || e;
+          const sessionKey = e.session_key || data?.session_key || useOpenClawStore.getState().selectedSessionKey;
+          useOpenClawStore.getState().setOpenclawSessionHistory(data);
+          if (sessionKey) {
+            useOpenClawStore.getState().replaceOpenclawChatHistory(
+              sessionKey,
+              normalizeOpenClawHistoryItems(data?.history || []),
+            );
+          }
+        },
+        openclaw_session_resolved: (e) => {
+          const d = e.data || {};
+          useOpenClawStore.getState().setOpenclawResolvedSessionKey(d.key || null);
+          if (d?.error) {
+            useOpenClawStore.getState().setChatError(d.error);
+          } else {
+            useOpenClawStore.getState().setChatError(null);
+          }
+        },
+        openclaw_session_created: (e) => {
+          const d = e.data || {};
+          if (d?.error) {
+            useOpenClawStore.getState().setChatError(d.error);
+            return;
+          }
+          if (d?.entry || d?.key) {
+            const createdKey = d?.key || d?.entry?.key || d?.entry?.sessionKey || '';
+            useOpenClawStore.getState().appendOpenclawSession(
+              d.entry || {
+                key: createdKey,
+                sessionKey: createdKey,
+                agentId: String(createdKey).split(':')[1] || '',
+              }
+            );
+          }
+          if (d?.key) {
+            useOpenClawStore.getState().setSelectedSessionKey(d.key);
+            useOpenClawStore.getState().setOpenclawResolvedSessionKey(d.key);
+            useOpenClawStore.getState().setChatError(null);
+          }
+        },
+        openclaw_session_subscribed: (e) => {
+          const sessionKey = e.session_key || e.data?.key || null;
+          if (sessionKey) {
+            useOpenClawStore.getState().setOpenclawSessionSubscribed(sessionKey, true);
+          }
+          if (e.data?.error) {
+            useOpenClawStore.getState().setChatError(e.data.error);
+          }
+        },
+        openclaw_session_unsubscribed: (e) => {
+          const sessionKey = e.session_key || e.data?.key || null;
+          if (sessionKey) {
+            useOpenClawStore.getState().setOpenclawSessionSubscribed(sessionKey, false);
+          }
+        },
+        openclaw_session_reset: (e) => {
+          const sessionKey = e.session_key || e.data?.key || null;
+          if (e.data?.error) {
+            useOpenClawStore.getState().setChatError(e.data.error);
+            return;
+          }
+          if (sessionKey) {
+            useOpenClawStore.getState().replaceOpenclawChatHistory(sessionKey, []);
+            useOpenClawStore.getState().setChatError(null);
+          }
+        },
+        openclaw_session_deleted: (e) => {
+          const sessionKey = e.session_key || e.data?.key || null;
+          if (e.data?.error) {
+            useOpenClawStore.getState().setChatError(e.data.error);
+            return;
+          }
+          if (sessionKey) {
+            useOpenClawStore.getState().removeOpenclawSession(sessionKey);
+            useOpenClawStore.getState().setChatError(null);
+          }
+        },
+        openclaw_message_sent: (e) => {
+          const sessionKey = e.session_key || e.data?.key || useOpenClawStore.getState().selectedSessionKey;
+          if (sessionKey) {
+            useOpenClawStore.getState().setOpenclawChatSendingForSession(sessionKey, false);
+          }
+          if (e.data?.error) {
+            useOpenClawStore.getState().setChatError(e.data.error);
+          } else {
+            useOpenClawStore.getState().setChatError(null);
+            if (sessionKey && (e.data?.status || e.data?.runId || e.data?.messageSeq !== undefined)) {
+              const statusBits = [
+                e.data?.status ? `status=${e.data.status}` : null,
+                e.data?.runId ? `runId=${e.data.runId}` : null,
+                e.data?.messageSeq !== undefined ? `seq=${e.data.messageSeq}` : null,
+              ].filter(Boolean);
+              useOpenClawStore.getState().appendOpenclawChatMessage(sessionKey, {
+                id: `send-meta:${e.data?.runId || Date.now()}`,
+                role: 'system',
+                text: `消息已提交到 OpenClaw${statusBits.length ? ` (${statusBits.join(', ')})` : ''}`,
+                timestamp: new Date().toISOString(),
+              });
+            }
+            if (sessionKey) {
+              window.setTimeout(() => requestOpenClawSessionHistory(clientRef, sessionKey, 30), 600);
+            }
+          }
+        },
+        openclaw_session_event: (e) => {
+          const sessionKey = e.session_key || e.payload?.sessionKey || e.payload?.key;
+          if (!sessionKey || !shouldAppendOpenClawLiveEvent(e)) {
+            return;
+          }
+          useOpenClawStore.getState().appendOpenclawChatMessage(
+            sessionKey,
+            normalizeOpenClawLiveEvent(e),
+          );
+        },
+        openclaw_cron_loaded: (e) => {
+          useOpenClawStore.getState().setOpenclawCronJobs(e.data || e);
+          useOpenClawStore.getState().setCronLoading(false);
+        },
+        openclaw_approvals_loaded: (e) => {
+          useOpenClawStore.getState().setOpenclawApprovals(e.data || e);
+          useOpenClawStore.getState().setApprovalsLoading(false);
+        },
+        openclaw_agents_loaded: (e) => {
+          useOpenClawStore.getState().setAgentsLoading(false);
+          const d = e.data?.data ?? e.data;
+          if (d?.error) {
+            useOpenClawStore.getState().setAgentsError(d.error);
+          } else {
+            const presence = useOpenClawStore.getState().agentsPresence;
+            const sessionsPayload = {
+              sessions: useOpenClawStore.getState().openclawSessions || [],
+              defaults: useOpenClawStore.getState().openclawSessionsDefaults || null,
+            };
+            useOpenClawStore.getState().setAgents(
+              normalizeOpenClawAgents(d?.agents || [], presence, sessionsPayload),
+            );
+            useOpenClawStore.getState().setAgentsError(null);
+          }
+        },
+        openclaw_agents_presence_loaded: (e) => {
+          const presencePayload = (e.data?.data ?? e.data) || {};
+          useOpenClawStore.getState().setAgentsPresence(presencePayload);
+          const currentAgents = useOpenClawStore.getState().agents || [];
+          if (currentAgents.length > 0) {
+            const sessionsPayload = {
+              sessions: useOpenClawStore.getState().openclawSessions || [],
+              defaults: useOpenClawStore.getState().openclawSessionsDefaults || null,
+            };
+            useOpenClawStore.getState().setAgents(
+              normalizeOpenClawAgents(currentAgents, presencePayload, sessionsPayload),
+            );
+          }
+        },
+        openclaw_skills_loaded: (e) => {
+          useOpenClawStore.getState().setSkillsLoading(false);
+          const d = e.data?.data ?? e.data;
+          if (d?.error) {
+            useOpenClawStore.getState().setSkillsError(d.error);
+          } else {
+            useOpenClawStore.getState().setSkills(d?.skills || []);
+            useOpenClawStore.getState().setSkillsError(null);
+          }
+        },
+        openclaw_models_loaded: (e) => {
+          useOpenClawStore.getState().setModelsLoading(false);
+          const d = e.data?.data ?? e.data;
+          if (d?.error) {
+            useOpenClawStore.getState().setModelsError(d.error);
+          } else {
+            useOpenClawStore.getState().setModels(d?.models || []);
+            useOpenClawStore.getState().setModelsError(null);
+          }
+        },
+        openclaw_workspace_files_loaded: (e) => {
+          useOpenClawStore.getState().setWorkspaceFilesLoading(false);
+          const d = e.data?.data ?? e.data;
+          const workspace = d?.workspace || "";
+          if (d?.error) {
+            useOpenClawStore.getState().setWorkspaceFilesError(d.error);
+          } else {
+            useOpenClawStore.getState().setWorkspaceFiles(workspace, d);
+            useOpenClawStore.getState().setWorkspaceFilesError(null);
+          }
+        },
+        openclaw_workspace_file_loaded: (e) => {
+          const d = e.data?.data ?? e.data;
+          console.log("[DEBUG] workspace_file_loaded:", { d });
+          if (d?.error) return;
+          const agentId = d?.agentId || "main";
+          const fileName = d?.file?.Name || d?.file?.name || "";
+          const key = `${agentId}:${fileName}`;
+          if (d?.file?.missing) {
+            useOpenClawStore.getState().setWorkspaceFileContent(key, "(文件不存在)");
+          } else if (d?.file?.content) {
+            useOpenClawStore.getState().setWorkspaceFileContent(key, d.file.content);
+          }
+        },
+        openclaw_hooks_loaded: (e) => {
+          useOpenClawStore.getState().setHooksLoading(false);
+          const d = e.data?.data ?? e.data;
+          if (d?.error) {
+            useOpenClawStore.getState().setHooksError(d.error);
+          } else {
+            useOpenClawStore.getState().setHooks(d?.hooks || []);
+            useOpenClawStore.getState().setHooksError(null);
+          }
+        },
+        openclaw_plugins_loaded: (e) => {
+          useOpenClawStore.getState().setPluginsLoading(false);
+          const d = e.data?.data ?? e.data;
+          if (d?.error) {
+            useOpenClawStore.getState().setPluginsError(d.error);
+          } else {
+            useOpenClawStore.getState().setPlugins(d?.plugins || []);
+            useOpenClawStore.getState().setPluginsError(null);
+          }
+        },
+        openclaw_secrets_audit_loaded: (e) => {
+          useOpenClawStore.getState().setSecretsAuditLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setSecretsAuditError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setSecretsAudit(e.data?.data || null);
+            useOpenClawStore.getState().setSecretsAuditError(null);
+          }
+        },
+        openclaw_security_audit_loaded: (e) => {
+          useOpenClawStore.getState().setSecurityAuditLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setSecurityAuditError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setSecurityAudit(e.data?.data || null);
+            useOpenClawStore.getState().setSecurityAuditError(null);
+          }
+        },
+        openclaw_daemon_status_loaded: (e) => {
+          useOpenClawStore.getState().setDaemonStatusLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setDaemonStatusError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setDaemonStatus(e.data?.data || null);
+            useOpenClawStore.getState().setDaemonStatusError(null);
+          }
+        },
+        openclaw_pairing_loaded: (e) => {
+          useOpenClawStore.getState().setPairingLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setPairingError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setPairing(e.data?.data || null);
+            useOpenClawStore.getState().setPairingError(null);
+          }
+        },
+        openclaw_qr_loaded: (e) => {
+          useOpenClawStore.getState().setQrCodeLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setQrCodeError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setQrCode(e.data?.data || null);
+            useOpenClawStore.getState().setQrCodeError(null);
+          }
+        },
+        openclaw_update_status_loaded: (e) => {
+          useOpenClawStore.getState().setUpdateStatusLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setUpdateStatusError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setUpdateStatus(e.data?.data || null);
+            useOpenClawStore.getState().setUpdateStatusError(null);
+          }
+        },
+        openclaw_models_aliases_loaded: (e) => {
+          useOpenClawStore.getState().setModelsAliasesLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setModelsAliasesError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setModelsAliases(e.data?.data || null);
+            useOpenClawStore.getState().setModelsAliasesError(null);
+          }
+        },
+        openclaw_models_fallbacks_loaded: (e) => {
+          useOpenClawStore.getState().setModelsFallbacksLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setModelsFallbacksError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setModelsFallbacks(e.data?.data?.items || []);
+            useOpenClawStore.getState().setModelsFallbacksError(null);
+          }
+        },
+        openclaw_models_image_fallbacks_loaded: (e) => {
+          useOpenClawStore.getState().setModelsImageFallbacksLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setModelsImageFallbacksError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setModelsImageFallbacks(e.data?.data?.items || []);
+            useOpenClawStore.getState().setModelsImageFallbacksError(null);
+          }
+        },
+        openclaw_skill_update_loaded: (e) => {
+          useOpenClawStore.getState().setSkillUpdateLoading(false);
+          if (e.data?.data?.error) {
+            useOpenClawStore.getState().setSkillUpdateError(e.data.data.error);
+          } else {
+            useOpenClawStore.getState().setSkillUpdate(e.data?.data || null);
+            useOpenClawStore.getState().setSkillUpdateError(null);
+          }
+        },
      };

      try {
--- a/frontend/src/store/openclawStore.js
+++ b/frontend/src/store/openclawStore.js
@@ -0,0 +1,354 @@
+import { create } from "zustand";
+import { persist } from "zustand/middleware";
+
+export const useOpenClawStore = create(
+  persist(
+    (set) => ({
+  // Raw data
+  openclawStatus: null,
+  openclawSessions: [],
+  openclawSessionsDefaults: null,
+  openclawSessionDetail: null,
+  openclawSessionHistory: [],
+  openclawCronJobs: [],
+  openclawApprovals: [],
+  openclawResolvedSessionKey: null,
+  openclawChatMessagesBySession: {},
+  openclawChatDraftBySession: {},
+  openclawChatSendingBySession: {},
+  openclawSessionSubscriptions: {},
+
+  // Loading states
+  isStatusLoading: false,
+  isSessionsLoading: false,
+  isSessionDetailLoading: false,
+  isCronLoading: false,
+  isApprovalsLoading: false,
+  isChatSending: false,
+
+  // Error states
+  statusError: null,
+  sessionsError: null,
+  sessionDetailError: null,
+  cronError: null,
+  approvalsError: null,
+  chatError: null,
+
+  // Agents state
+  agents: [],
+  agentsLoading: false,
+  agentsError: null,
+  agentsPresence: {},
+
+  // Skills state
+  skills: [],
+  skillsLoading: false,
+  skillsError: null,
+
+  // Models state
+  models: [],
+  modelsLoading: false,
+  modelsError: null,
+
+  // Hooks state
+  hooks: [],
+  hooksLoading: false,
+  hooksError: null,
+
+  // Plugins state
+  plugins: [],
+  pluginsLoading: false,
+  pluginsError: null,
+
+  // Secrets audit state
+  secretsAudit: null,
+  secretsAuditLoading: false,
+  secretsAuditError: null,
+
+  // Security audit state
+  securityAudit: null,
+  securityAuditLoading: false,
+  securityAuditError: null,
+
+  // Daemon status state
+  daemonStatus: null,
+  daemonStatusLoading: false,
+  daemonStatusError: null,
+
+  // Pairing state
+  pairing: null,
+  pairingLoading: false,
+  pairingError: null,
+
+  // QR code state
+  qrCode: null,
+  qrCodeLoading: false,
+  qrCodeError: null,
+
+  // Update status state
+  updateStatus: null,
+  updateStatusLoading: false,
+  updateStatusError: null,
+
+  // Models aliases state
+  modelsAliases: null,
+  modelsAliasesLoading: false,
+  modelsAliasesError: null,
+
+  // Models fallbacks state
+  modelsFallbacks: [],
+  modelsFallbacksLoading: false,
+  modelsFallbacksError: null,
+
+  // Models image fallbacks state
+  modelsImageFallbacks: [],
+  modelsImageFallbacksLoading: false,
+  modelsImageFallbacksError: null,
+
+  // Skill update state
+  skillUpdate: null,
+  skillUpdateLoading: false,
+  skillUpdateError: null,
+
+  // Workspace files state (per agent, keyed by workspace path)
+  workspaceFiles: {},
+  workspaceFilesLoading: false,
+  workspaceFilesError: null,
+
+  // Workspace file content (keyed by "agentId:filename")
+  workspaceFileContent: {},
+
+  // Selected session key for detail/history drill-down
+  selectedSessionKey: null,
+
+  // WebSocket client ref (set by App.jsx on connection)
+  clientRef: null,
+  setClientRef: (ref) => set({ clientRef: ref }),
+
+  // Setters
+  setOpenclawStatus: (data) => set({ openclawStatus: data, statusError: null }),
+  setOpenclawSessions: (data) => set({
+    openclawSessions: data?.sessions || [],
+    openclawSessionsDefaults: data?.defaults || null,
+    sessionsError: null,
+  }),
+  appendOpenclawSession: (session) => set((state) => {
+    const key = session?.key || session?.sessionKey;
+    if (!key) {
+      return {};
+    }
+    const existing = state.openclawSessions || [];
+    const deduped = existing.filter((item) => (item?.key || item?.sessionKey) !== key);
+    return { openclawSessions: [session, ...deduped] };
+  }),
+  removeOpenclawSession: (sessionKey) => set((state) => ({
+    openclawSessions: (state.openclawSessions || []).filter(
+      (item) => (item?.key || item?.sessionKey) !== sessionKey
+    ),
+    selectedSessionKey:
+      state.selectedSessionKey === sessionKey ? null : state.selectedSessionKey,
+  })),
+  setOpenclawSessionDetail: (data) => set({ openclawSessionDetail: data?.session || null, sessionDetailError: data?.error || null }),
+  setOpenclawSessionHistory: (data) => set({ openclawSessionHistory: data?.history || [], sessionDetailError: data?.error || null }),
+  setOpenclawCronJobs: (data) => set({ openclawCronJobs: data?.cron || [], cronError: null }),
+  setOpenclawApprovals: (data) => set({ openclawApprovals: data?.approvals || [], approvalsError: null }),
+  setOpenclawResolvedSessionKey: (key) => set({ openclawResolvedSessionKey: key || null }),
+  setOpenclawChatDraft: (sessionKey, value) => set((state) => ({
+    openclawChatDraftBySession: { ...state.openclawChatDraftBySession, [sessionKey]: value },
+  })),
+  appendOpenclawChatMessage: (sessionKey, message) => set((state) => {
+    const current = state.openclawChatMessagesBySession[sessionKey] || [];
+    const sameMessageIndex = current.findIndex((item) => {
+      const sameId = Boolean(message?.id && item?.id && message.id === item.id);
+      const sameMessageId = Boolean(
+        message?.messageId &&
+        item?.messageId &&
+        message.messageId === item.messageId
+      );
+      const sameSeq = Boolean(
+        message?.seq !== undefined &&
+        message?.seq !== null &&
+        item?.seq !== undefined &&
+        item?.seq !== null &&
+        message.seq === item.seq &&
+        message?.role === item?.role
+      );
+      const incomingText = String(message?.text || '').trim();
+      const existingText = String(item?.text || '').trim();
+      const incomingTs = Date.parse(message?.timestamp || '');
+      const existingTs = Date.parse(item?.timestamp || '');
+      const nearInTime =
+        Number.isFinite(incomingTs) &&
+        Number.isFinite(existingTs) &&
+        Math.abs(incomingTs - existingTs) < 1500;
+      const sameAssistantText =
+        message?.role === 'assistant' &&
+        item?.role === 'assistant' &&
+        incomingText &&
+        existingText &&
+        (
+          incomingText === existingText ||
+          incomingText.startsWith(existingText) ||
+          existingText.startsWith(incomingText)
+        ) &&
+        nearInTime;
+      return sameId || sameMessageId || sameSeq || sameAssistantText;
+    });
+
+    if (sameMessageIndex >= 0) {
+      const next = [...current];
+      next[sameMessageIndex] = { ...next[sameMessageIndex], ...message };
+      return {
+        openclawChatMessagesBySession: {
+          ...state.openclawChatMessagesBySession,
+          [sessionKey]: next,
+        },
+      };
+    }
+
+    return {
+      openclawChatMessagesBySession: {
+        ...state.openclawChatMessagesBySession,
+        [sessionKey]: [...current, message],
+      },
+    };
+  }),
+  replaceOpenclawChatHistory: (sessionKey, messages) => set((state) => {
+    const incoming = Array.isArray(messages) ? messages : [];
+    const existing = state.openclawChatMessagesBySession[sessionKey] || [];
+    const merged = [];
+    const seen = new Set();
+
+    const signatureFor = (message) => {
+      if (!message) return "";
+      if (message.id) return `id:${message.id}`;
+      if (message.messageId) return `mid:${message.messageId}`;
+      if (message.seq !== undefined && message.seq !== null) return `seq:${message.seq}`;
+      return `txt:${message.role || ""}:${String(message.text || "").trim()}`;
+    };
+
+    for (const message of [...incoming, ...existing]) {
+      const signature = signatureFor(message);
+      if (!signature || seen.has(signature)) {
+        continue;
+      }
+      seen.add(signature);
+      merged.push(message);
+    }
+
+    return {
+      openclawChatMessagesBySession: {
+        ...state.openclawChatMessagesBySession,
+        [sessionKey]: merged,
+      },
+    };
+  }),
+  setOpenclawChatSendingForSession: (sessionKey, value) => set((state) => ({
+    openclawChatSendingBySession: { ...state.openclawChatSendingBySession, [sessionKey]: Boolean(value) },
+    isChatSending: Boolean(value),
+  })),
+  setOpenclawSessionSubscribed: (sessionKey, value) => set((state) => ({
+    openclawSessionSubscriptions: { ...state.openclawSessionSubscriptions, [sessionKey]: Boolean(value) },
+  })),
+
+  setSelectedSessionKey: (key) => set({ selectedSessionKey: key }),
+
+  setStatusLoading: (v) => set({ isStatusLoading: v }),
+  setSessionsLoading: (v) => set({ isSessionsLoading: v }),
+  setSessionDetailLoading: (v) => set({ isSessionDetailLoading: v }),
+  setCronLoading: (v) => set({ isCronLoading: v }),
+  setApprovalsLoading: (v) => set({ isApprovalsLoading: v }),
+
+  setStatusError: (e) => set({ statusError: e }),
+  setSessionsError: (e) => set({ sessionsError: e }),
+  setSessionDetailError: (e) => set({ sessionDetailError: e }),
+  setCronError: (e) => set({ cronError: e }),
+  setApprovalsError: (e) => set({ approvalsError: e }),
+  setChatError: (e) => set({ chatError: e }),
+
+  setAgents: (agents) => set({ agents }),
+  setAgentsLoading: (loading) => set({ agentsLoading: loading }),
+  setAgentsError: (error) => set({ agentsError: error }),
+  setAgentsPresence: (presence) => set({ agentsPresence: presence }),
+  setSkills: (skills) => set({ skills }),
+  setSkillsLoading: (loading) => set({ skillsLoading: loading }),
+  setSkillsError: (error) => set({ skillsError: error }),
+  setModels: (models) => set({ models }),
+  setModelsLoading: (loading) => set({ modelsLoading: loading }),
+  setModelsError: (error) => set({ modelsError: error }),
+
+  setHooks: (hooks) => set({ hooks }),
+  setHooksLoading: (loading) => set({ hooksLoading: loading }),
+  setHooksError: (error) => set({ hooksError: error }),
+  setPlugins: (plugins) => set({ plugins }),
+  setPluginsLoading: (loading) => set({ pluginsLoading: loading }),
+  setPluginsError: (error) => set({ pluginsError: error }),
+  setSecretsAudit: (data) => set({ secretsAudit: data }),
+  setSecretsAuditLoading: (loading) => set({ secretsAuditLoading: loading }),
+  setSecretsAuditError: (error) => set({ secretsAuditError: error }),
+  setSecurityAudit: (data) => set({ securityAudit: data }),
+  setSecurityAuditLoading: (loading) => set({ securityAuditLoading: loading }),
+  setSecurityAuditError: (error) => set({ securityAuditError: error }),
+  setDaemonStatus: (data) => set({ daemonStatus: data }),
+  setDaemonStatusLoading: (loading) => set({ daemonStatusLoading: loading }),
+  setDaemonStatusError: (error) => set({ daemonStatusError: error }),
+  setPairing: (data) => set({ pairing: data }),
+  setPairingLoading: (loading) => set({ pairingLoading: loading }),
+  setPairingError: (error) => set({ pairingError: error }),
+  setQrCode: (data) => set({ qrCode: data }),
+  setQrCodeLoading: (loading) => set({ qrCodeLoading: loading }),
+  setQrCodeError: (error) => set({ qrCodeError: error }),
+  setUpdateStatus: (data) => set({ updateStatus: data }),
+  setUpdateStatusLoading: (loading) => set({ updateStatusLoading: loading }),
+  setUpdateStatusError: (error) => set({ updateStatusError: error }),
+  setModelsAliases: (data) => set({ modelsAliases: data }),
+  setModelsAliasesLoading: (loading) => set({ modelsAliasesLoading: loading }),
+  setModelsAliasesError: (error) => set({ modelsAliasesError: error }),
+  setModelsFallbacks: (data) => set({ modelsFallbacks: data }),
+  setModelsFallbacksLoading: (loading) => set({ modelsFallbacksLoading: loading }),
+  setModelsFallbacksError: (error) => set({ modelsFallbacksError: error }),
+  setModelsImageFallbacks: (data) => set({ modelsImageFallbacks: data }),
+  setModelsImageFallbacksLoading: (loading) => set({ modelsImageFallbacksLoading: loading }),
+  setModelsImageFallbacksError: (error) => set({ modelsImageFallbacksError: error }),
+  setSkillUpdate: (data) => set({ skillUpdate: data }),
+  setSkillUpdateLoading: (loading) => set({ skillUpdateLoading: loading }),
+  setSkillUpdateError: (error) => set({ skillUpdateError: error }),
+
+  setWorkspaceFiles: (workspace, data) => set((state) => ({
+    workspaceFiles: { ...state.workspaceFiles, [workspace]: data },
+  })),
+  setWorkspaceFilesLoading: (loading) => set({ workspaceFilesLoading: loading }),
+  setWorkspaceFilesError: (error) => set({ workspaceFilesError: error }),
+  setWorkspaceFileContent: (key, content) => set((state) => ({
+    workspaceFileContent: { ...state.workspaceFileContent, [key]: content },
+  })),
+    }),
+    {
+      name: "openclaw-store",
+      // Skip persisting ephemeral UI state
+      partialize: (state) => ({
+        // Persist only data, not loading/error/UI states
+        openclawStatus: state.openclawStatus,
+        openclawSessions: state.openclawSessions,
+        openclawCronJobs: state.openclawCronJobs,
+        openclawApprovals: state.openclawApprovals,
+        agents: state.agents,
+        agentsPresence: state.agentsPresence,
+        skills: state.skills,
+        models: state.models,
+        hooks: state.hooks,
+        plugins: state.plugins,
+        secretsAudit: state.secretsAudit,
+        securityAudit: state.securityAudit,
+        daemonStatus: state.daemonStatus,
+        pairing: state.pairing,
+        qrCode: state.qrCode,
+        updateStatus: state.updateStatus,
+        modelsAliases: state.modelsAliases,
+        modelsFallbacks: state.modelsFallbacks,
+        modelsImageFallbacks: state.modelsImageFallbacks,
+        skillUpdate: state.skillUpdate,
+      }),
+    }
+  )
+);
--- a/frontend/src/store/uiStore.js
+++ b/frontend/src/store/uiStore.js
@@ -9,7 +9,7 @@ const resolveValue = (updater, currentValue) => (
 */
 export const useUIStore = create((set) => ({
  // Current view
-  currentView: 'traders', // 'traders' | 'room' | 'explain' | 'chart' | 'statistics' | 'runtime'
+  currentView: 'traders', // 'traders' | 'room' | 'explain' | 'chart' | 'statistics' | 'openclaw' | 'runtime'
  setCurrentView: (currentView) => set((state) => ({ currentView: resolveValue(currentView, state.currentView) })),

  // Chart tab
--- a/frontend/src/styles/GlobalStyles.jsx
+++ b/frontend/src/styles/GlobalStyles.jsx
@@ -1,7 +1,7 @@
 import React from 'react';

 /**
- * Global CSS Styles for the EvoTraders Platform
+ * Global CSS Styles for the 大时代 Platform
 * Terminal-inspired, minimal, monochrome design
 */
 export default function GlobalStyles() {
@@ -1098,6 +1098,10 @@ export default function GlobalStyles() {
        transform: translateX(-80%);
      }

+      .view-slider-five.show-openclaw {
+        transform: translateX(-100%);
+      }
+
      .view-panel {
        flex: 0 0 33.333%;
        width: 33.333%;
--- a/frontend/trader-full.png
+++ b/frontend/trader-full.png
--- a/frontend/trader-view.png
+++ b/frontend/trader-view.png
--- a/live/state/server_state.json
+++ b/live/state/server_state.json
@@ -282,7 +282,6 @@
  "trading_days_completed": 0,
  "server_mode": "live",
  "is_backtest": false,
-  "is_mock_mode": false,
  "data_sources": {
    "preferred": [
      "yfinance",
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,12 +5,12 @@ build-backend = "setuptools.build_meta"
 [project]
 name = "evotraders"
 version = "0.1.0"
-description = "EvoTraders: A self-evolving multi-agent trading system"
+description = "大时代: A self-evolving multi-agent trading system"
 readme = "README.md"
 requires-python = ">=3.9"
 license = {text = "MIT"}
 authors = [
-    {name = "EvoTraders Team <dengjiaji.djj@alibaba-inc.com>"}
+    {name = "大时代 Team", email = "dengjiaji.djj@alibaba-inc.com"}
 ]
 keywords = ["trading", "ai", "multi-agent", "fintech", "algorithmic-trading"]
 classifiers = [
@@ -28,11 +28,16 @@ classifiers = [
 dependencies = [
    "agentscope>=1.0.8",
    "reme-ai>=0.2.0.4",
-    "asyncio>=3.4.3",
+    "fastapi>=0.115.0",
+    "uvicorn>=0.30.0",
+    "pydantic>=2.8.0",
    "rich>=13.6.0",
    "websockets>=12.0",
    "websocket-client>=1.6.0",
+    "httpx>=0.27.0",
+    "cryptography>=43.0.0",
    "python-dotenv>=1.0.0",
+    "PyYAML>=6.0.0",
    "finnhub-python>=2.4.25",
    "numpy>=1.24.0",
    "pandas>=2.0.0",
@@ -42,8 +47,6 @@ dependencies = [
    "typer>=0.12.5",
    "openai>=2.9.0",
    "anthropic>=0.20.0",
-    "dotenv",
-    "typer",
 ]


@@ -63,13 +66,8 @@ Documentation = "https://github.com/agentscope-ai/agentscope-samples/evotraders/
 [project.scripts]
 evotraders = "backend.cli:app"

-[tool.setuptools]
-packages = ["backend", "backend.agents", "backend.config",
-            "backend.apps",
-            "backend.domains",
-            "backend.data", "backend.llm",
-            "backend.tools", "backend.utils", "backend.services",
-            "backend.explain", "backend.enrich"]
+[tool.setuptools.packages.find]
+include = ["backend*", "shared*"]

 [tool.ruff]
 line-length = 88
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
cillin	4295293a21	Align branding, prompts, and deployment tooling	2026-03-28 22:16:56 +08:00
cillin	4aa69650e8	feat: update openclaw workspace integration	2026-03-27 22:27:16 +08:00
cillin	5c08c1865c	chore: sync current workspace changes	2026-03-27 11:27:26 +08:00
cillin	6ecc224427	feat: OpenClaw WebSocket integration with workspace file preview - Migrate OpenClaw from HTTP (port 8004) to WebSocket (port 18789) - Add workspace file list and content preview handlers - Add OpenClawStatus component with agent/skills view - Add OpenClawView panel in trader interface - Add Zustand store for OpenClaw state management - Fix gateway logging noise (yfinance, websockets) - Fix RunWorkspaceManager.get_agent_asset_dir attribute error - Handle missing workspace files gracefully in preview Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-27 11:08:15 +08:00