chore: sync current workspace changes

This commit is contained in:
2026-03-27 11:27:26 +08:00
parent 6ecc224427
commit 5c08c1865c
33 changed files with 1450 additions and 724 deletions

View File

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383
README.md
View File

@@ -5,32 +5,28 @@
<h2 align="center">EvoTraders: A Self-Evolving Multi-Agent Trading System</h2> <h2 align="center">EvoTraders: A Self-Evolving Multi-Agent Trading System</h2>
<p align="center"> <p align="center">
📌 <a href="http://trading.evoagents.cn">Visit us at EvoTraders website !</a> 📌 <a href="http://trading.evoagents.cn">Visit the EvoTraders website</a>
</p> </p>
![System Demo](./docs/assets/evotraders_demo.gif) ![System Demo](./docs/assets/evotraders_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. EvoTraders 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.
--- ---
## Core Features ## Core Features
**Multi-Agent Collaborative Trading** **Multi-agent trading team**
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. 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** **Backtest and live modes**
Based on the ReMe memory framework, agents reflect and summarize after each trade, preserving experience across rounds, and forming unique investment methodologies. 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. **Operator-facing UI**
The frontend exposes the trading room, runtime controls, logs, approvals, agent workspaces, and explain/news views.
**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.
<p> <p>
<img src="docs/assets/performance.jpg" width="45%"> <img src="docs/assets/performance.jpg" width="45%">
@@ -39,83 +35,158 @@ 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 ## Quick Start
### Installation ### 1. Install
```bash ```bash
# Clone repository # clone this repository, then:
git clone https://github.com/agentscope-ai/agentscope-samples cd evotraders
cd agentscope-samples/EvoTraders
# Install dependencies (Recommend uv!) # recommended
uv pip install -e . uv pip install -e .
# optional: pip install -e .
# optional
# uv pip install -e ".[dev]"
# pip install -e .
```
# Configure environment variables ### 2. Configure environment
```bash
cp env.template .env 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 The root `env.template` is the canonical local template. A `.env.example` is also kept in the repo for reference.
FIN_DATA_SOURCE = #finnhub or financial_datasets
FINANCIAL_DATASETS_API_KEY= #Required
FINNHUB_API_KEY= #Optional
# 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_API_KEY=
OPENAI_BASE_URL= OPENAI_BASE_URL=
MODEL_NAME=qwen3-max-preview MODEL_NAME=qwen3-max-preview
# LLM & embedding API for Memory # memory (optional unless --enable-memory is used)
MEMORY_API_KEY= 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.
### 3. Start the stack
Recommended local development flow:
**Backtest Mode:**
```bash ```bash
evotraders backtest --start 2025-11-01 --end 2025-12-01 ./start-dev.sh
evotraders backtest --start 2025-11-01 --end 2025-12-01 --enable-memory # Use Memory
``` ```
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`: 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 ```bash
wget "https://agentscope-open.oss-cn-beijing.aliyuncs.com/ret_data.zip" wget "https://agentscope-open.oss-cn-beijing.aliyuncs.com/ret_data.zip"
unzip ret_data.zip -d backend/data 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:** ## Runtime Data Layout
```bash
evotraders --help # View global CLI help
evotraders backtest --help # View backtest mode parameters
evotraders live --help # View live/mock run parameters
```
**Launch Visualization Interface:** - Long-lived research data lives in `data/market_research.db`
```bash - Each run writes run-scoped state under `runs/<run_id>/`
# Ensure npm is installed, otherwise install it: - `runs/<run_id>/BOOTSTRAP.md` stores run-specific bootstrap values and prompt body
# npm install - `runs/<run_id>/state/runtime_state.json` stores runtime snapshot state
evotraders frontend # Default connects to port 8765, you can modify the address in ./frontend/env.local to change the port number - `runs/<run_id>/team_dashboard/*.json` is a compatibility/export layer for dashboard consumers, not the primary runtime source of truth
```
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`
Optional retention control: Optional retention control:
@@ -123,129 +194,147 @@ Optional retention control:
RUNS_RETENTION_COUNT=20 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:** ```bash
- **Fundamentals Analyst**: Financial health, profitability, growth quality VITE_CONTROL_API_BASE_URL=http://localhost:8000/api
- **Technical Analyst**: Price trends, technical indicators, momentum analysis VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime
- **Sentiment Analyst**: Market sentiment, news sentiment, insider trading VITE_NEWS_SERVICE_URL=http://localhost:8002
- **Valuation Analyst**: DCF, residual income, EV/EBITDA VITE_TRADING_SERVICE_URL=http://localhost:8001
VITE_WS_URL=ws://localhost:8765
**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)
``` ```
Each trading day goes through five stages: If these are not set, the frontend falls back to its local defaults and compatibility paths where available.
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
--- ---
### Module Support ## Decision Flow
- **Agent Framework**: [AgentScope](https://github.com/agentscope-ai/agentscope) ```text
- **Memory System**: [ReMe](https://github.com/agentscope-ai/reme) Market data -> independent analyst work -> team communication -> portfolio decision ->
- **LLM Support**: OpenAI, DeepSeek, Qwen, Moonshot, Zhipu AI, etc. 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 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 ```yaml
comprehensive_analyst: comprehensive_analyst:
name: "Comprehensive Analyst" name: "Comprehensive Analyst"
focus: focus:
- ... - multi-factor synthesis
preferred_tools: # Flexibly select based on situation preferred_tools:
- get_stock_price
- get_company_financials
description: | 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) ### Configure per-agent models
```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
}
}
```
3. Introduce new role in frontend configuration [./frontend/src/config/constants.js](./frontend/src/config/constants.js) (optional) Model overrides are configured in `.env`:
```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:
```bash ```bash
AGENT_SENTIMENT_ANALYST_MODEL_NAME=qwen3-max-preview AGENT_SENTIMENT_ANALYST_MODEL_NAME=deepseek-v3.2-exp
AGENT_FUNDAMENTALS_ANALYST_MODEL_NAME=deepseek-chat AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4.6
AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4-plus AGENT_FUNDAMENTALS_ANALYST_MODEL_NAME=qwen3-max-preview
AGENT_VALUATION_ANALYST_MODEL_NAME=moonshot-v1-32k 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/ ├── backend/
│ ├── agents/ # Agent implementation │ ├── agents/ # agent roles, prompts, skills, workspaces
│ ├── communication/ # Communication system │ ├── api/ # FastAPI routers
│ ├── memory/ # Memory system (ReMe) │ ├── apps/ # split service surfaces
│ ├── tools/ # Analysis toolset │ ├── core/ # pipeline, scheduler, state sync
│ ├── servers/ # WebSocket services │ ├── runtime/ # runtime manager and agent runtime state
── cli.py # CLI entry point ── services/ # gateway, market/storage/db services
├── frontend/ # React visualization interface │ └── cli.py # Typer CLI entrypoint
── logs_and_memory/ # Logs and memory data ── 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 ## License and Disclaimer
EvoTraders is a research and educational project, open-sourced under the Apache 2.0 license. EvoTraders 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.

View File

@@ -4,291 +4,337 @@
<h2 align="center">EvoTraders自我进化的多智能体交易系统</h2> <h2 align="center">EvoTraders自我进化的多智能体交易系统</h2>
<p align="center"> <p align="center">
📌 <a href="http://trading.evoagents.cn">Visit us at EvoTraders website !</a> 📌 <a href="http://trading.evoagents.cn">访问 EvoTraders 官网</a>
</p> </p>
![系统演示](./docs/assets/evotraders_demo.gif) ![系统演示](./docs/assets/evotraders_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 EvoTraders 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 ## 核心特性
**多智能体协作交易** **多智能体交易团队**
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 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** **统一运行时**
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 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
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。
**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> <p>
<img src="docs/assets/performance.jpg" width="45%"> <img src="docs/assets/performance.jpg" width="45%">
<img src="./docs/assets/dashboard.jpg" width="45%"> <img src="./docs/assets/dashboard.jpg" width="45%">
</p> </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 ## 快速开始
### 安装 ### 1. 安装
```bash ```bash
# 克隆仓库 # 克隆仓库后进入项目目录
git clone https://github.com/agentscope-ai/agentscope-samples cd evotraders
cd agentscope-samples/EvoTraders
# 安装依赖(推荐使用uv # 推荐
uv pip install -e . 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 .
```
### 2. 配置环境变量
```bash
cp env.template .env 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 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。
FIN_DATA_SOURCE= #finnhub or financial_datasets
FINANCIAL_DATASETS_API_KEY= #必需
FINNHUB_API_KEY= #可选
# 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_API_KEY=
OPENAI_BASE_URL= OPENAI_BASE_URL=
MODEL_NAME=qwen3-max-preview 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= 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
### 3. 启动服务栈
本地开发推荐直接使用:
**回测模式:**
```bash ```bash
evotraders backtest --start 2025-11-01 --end 2025-12-01 ./start-dev.sh
evotraders backtest --start 2025-11-01 --end 2025-12-01 --enable-memory # 使用记忆
``` ```
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` 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 ```bash
wget "https://agentscope-open.oss-cn-beijing.aliyuncs.com/ret_data.zip" wget "https://agentscope-open.oss-cn-beijing.aliyuncs.com/ret_data.zip"
unzip ret_data.zip -d backend/data 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 ```bash
evotraders live # 立即运行(默认) RUNS_RETENTION_COUNT=20
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
``` ```
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:** ## 前端服务路由
```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
```
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 常用前端环境变量:
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:
```bash ```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_CONTROL_API_BASE_URL=http://localhost:8000/api
VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime 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_NEWS_SERVICE_URL=http://localhost:8002
VITE_TRADING_SERVICE_URL=http://localhost:8001 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: 如果不配置,前端会按本地默认值和兼容回退逻辑运行。
- 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。
--- ---
## 系统架构 ## 决策流程
![架构图](docs/assets/evotraders_pipeline.jpg) ```text
市场数据 -> 分析师独立分析 -> 团队沟通 -> 投资决策 ->
### 智能体设计 风控审核 -> 执行/结算 -> 复盘/记忆更新
**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)
``` ```
每个交易日经历五个阶段 运行时管理器还会跟踪
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
- 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 ```yaml
comprehensive_analyst: comprehensive_analyst:
name: "Comprehensive Analyst" name: "Comprehensive Analyst"
focus: focus:
- ... - multi-factor synthesis
preferred_tools: # Flexibly select based on situation preferred_tools:
- get_stock_price
- get_company_financials
description: | 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 ### 配置各 Agent 使用的模型
```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
}
}
```
3. 在前端配置 [./frontend/src/config/constants.js](./frontend/src/config/constants.js) 中引入新角色(可选) 模型覆盖在 `.env` 中配置:
```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:
```bash ```bash
AGENT_SENTIMENT_ANALYST_MODEL_NAME=qwen3-max-preview AGENT_SENTIMENT_ANALYST_MODEL_NAME=deepseek-v3.2-exp
AGENT_FUNDAMENTAL_ANALYST_MODEL_NAME=deepseek-chat AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4.6
AGENT_TECHNICAL_ANALYST_MODEL_NAME=glm-4-plus AGENT_FUNDAMENTALS_ANALYST_MODEL_NAME=qwen3-max-preview
AGENT_VALUATION_ANALYST_MODEL_NAME=moonshot-v1-32k 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/ ├── backend/
│ ├── agents/ # 智能体实现 │ ├── agents/ # agent 角色、prompts、skills、workspaces
│ ├── communication/ # 通信系统 │ ├── api/ # FastAPI 路由层
│ ├── memory/ # 记忆系统 (ReMe) │ ├── apps/ # 拆分服务 app surface
│ ├── tools/ # 分析工具集 │ ├── core/ # pipeline、scheduler、state sync
│ ├── servers/ # WebSocket 服务 │ ├── runtime/ # runtime manager 和 agent runtime state
── cli.py # CLI 入口 ── services/ # gateway、market/storage/db 服务
├── frontend/ # React 可视化界面 │ └── cli.py # Typer CLI 入口
── logs_and_memory/ # 日志和记忆数据 ── 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 ## 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 EvoTraders 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。

View File

@@ -11,11 +11,13 @@ Provides REST API endpoints for:
from .agents import router as agents_router from .agents import router as agents_router
from .workspaces import router as workspaces_router from .workspaces import router as workspaces_router
from .guard import router as guard_router from .guard import router as guard_router
from .openclaw import router as openclaw_router
from .runtime import router as runtime_router from .runtime import router as runtime_router
__all__ = [ __all__ = [
"agents_router", "agents_router",
"workspaces_router", "workspaces_router",
"guard_router", "guard_router",
"openclaw_router",
"runtime_router", "runtime_router",
] ]

View File

@@ -389,11 +389,21 @@ def _find_available_port(start_port: int = 8765, max_port: int = 9000) -> int:
def _is_gateway_running() -> bool: 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 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 False
return process.poll() is None
def _stop_gateway() -> bool: def _stop_gateway() -> bool:

View File

@@ -5,6 +5,8 @@ from .agent_service import app as agent_app
from .agent_service import create_app as create_agent_app from .agent_service import create_app as create_agent_app
from .news_service import app as news_app from .news_service import app as news_app
from .news_service import create_app as create_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 app as runtime_app
from .runtime_service import create_app as create_runtime_app from .runtime_service import create_app as create_runtime_app
from .trading_service import app as trading_app from .trading_service import app as trading_app
@@ -21,6 +23,8 @@ __all__ = [
"create_agent_app", "create_agent_app",
"news_app", "news_app",
"create_news_app", "create_news_app",
"openclaw_app",
"create_openclaw_app",
"runtime_app", "runtime_app",
"create_runtime_app", "create_runtime_app",
"trading_app", "trading_app",

View File

@@ -388,4 +388,15 @@ def stop_gateway(gateway: Any) -> None:
gateway._market_status_task.cancel() gateway._market_status_task.cancel()
if gateway._watchlist_ingest_task: if gateway._watchlist_ingest_task:
gateway._watchlist_ingest_task.cancel() gateway._watchlist_ingest_task.cancel()
# 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
gateway._dashboard.stop() gateway._dashboard.stop()

View File

@@ -4,6 +4,7 @@
import pytest import pytest
from shared.client.control_client import ControlPlaneClient from shared.client.control_client import ControlPlaneClient
from shared.client.openclaw_client import OpenClawServiceClient
from shared.client.runtime_client import RuntimeServiceClient from shared.client.runtime_client import RuntimeServiceClient
@@ -105,3 +106,25 @@ async def test_runtime_service_client_hits_current_runtime_routes():
("get", "/config", None), ("get", "/config", None),
("put", "/config", {"schedule_mode": "intraday"}), ("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),
]

121
deploy/README.md Normal file
View File

@@ -0,0 +1,121 @@
# Deployment Notes
This directory contains the current production-oriented deployment artifacts for
the EvoTraders frontend site and the live gateway process.
## Contents
- [deploy/systemd/evotraders.service](./systemd/evotraders.service)
- systemd unit for the long-running EvoTraders gateway process
- [scripts/run_prod.sh](../scripts/run_prod.sh)
- production launch script used by the systemd unit
- [deploy/nginx/evotraders.cillinn.com.conf](./nginx/evotraders.cillinn.com.conf)
- HTTPS nginx config with WebSocket proxying
- [deploy/nginx/evotraders.cillinn.com.http.conf](./nginx/evotraders.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/evotraders/current`
- 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/evotraders/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://evotraders.cillinn.com` to HTTPS
- proxies `/ws` to the local gateway process with WebSocket upgrade headers
Typical install flow:
```bash
sudo cp deploy/nginx/evotraders.cillinn.com.conf /etc/nginx/sites-available/evotraders.cillinn.com.conf
sudo ln -s /etc/nginx/sites-available/evotraders.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/evotraders.cillinn.com/fullchain.pem`
- `/etc/letsencrypt/live/evotraders.cillinn.com/privkey.pem`
## Environment Expectations
Before using the production scripts, ensure the runtime environment has:
- a usable Python environment
- repo dependencies installed
- required market/model API keys
- any desired `TICKERS` override
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.

View File

@@ -1,28 +1,116 @@
# Compatibility Removal Plan # Compatibility And Migration Status
This document tracks the remaining migration-only surfaces that still exist This document tracks the remaining migration-related boundaries after the
after the move to split-first development. 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` ### `backend.app`
- Removed after compatibility startup switched to - Removed after startup paths switched away from the legacy app wrapper.
`backend.apps.combined_service:app` directly.
### `backend.apps.combined_service`
- Removed after split-service startup became the only supported local dev mode.
### `shared.client.AgentServiceClient` ### `shared.client.AgentServiceClient`
- Removed after split-aware clients became the default import surface. - Removed after split-aware clients became the default import surface.
- Replacement: - Replaced by:
- `ControlPlaneClient` - `ControlPlaneClient`
- `RuntimeServiceClient` - `RuntimeServiceClient`
- `TradingServiceClient` - `TradingServiceClient`
- `NewsServiceClient` - `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

View File

@@ -20,6 +20,9 @@ MARKET_DB_PATH= #optional path for long-lived market_research.db | 长期市场
OPENAI_API_KEY= OPENAI_API_KEY=
OPENAI_BASE_URL= OPENAI_BASE_URL=
MODEL_NAME=qwen3-max-preview MODEL_NAME=qwen3-max-preview
OPENCLAW_CMD=
OPENCLAW_CWD=
OPENCLAW_TIMEOUT_SECONDS=15
EXPLAIN_ENRICH_USE_LLM=false EXPLAIN_ENRICH_USE_LLM=false
EXPLAIN_ENRICH_MODEL_PROVIDER= EXPLAIN_ENRICH_MODEL_PROVIDER=
EXPLAIN_ENRICH_MODEL_NAME= EXPLAIN_ENRICH_MODEL_NAME=

View File

@@ -1,31 +1,56 @@
## QuickStart ## Frontend Quick Start
```bash ```bash
cd frontend cd frontend
npm install npm install
npm run dev npm run dev
``` ```
## Optional Direct Service Calls Default dev URL: `http://localhost:5173`
The frontend still works with the compatibility backend entrypoint by default. The frontend expects the EvoTraders gateway WebSocket on `ws://localhost:8765` unless overridden.
In the current test-stage setup, split services are the recommended default.
Point the frontend directly at those standalone services: ## 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 ```bash
VITE_CONTROL_API_BASE_URL=http://localhost:8000/api VITE_CONTROL_API_BASE_URL=http://localhost:8000/api
VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime VITE_RUNTIME_API_BASE_URL=http://localhost:8003/api/runtime
VITE_NEWS_SERVICE_URL=http://localhost:8002 VITE_NEWS_SERVICE_URL=http://localhost:8002
VITE_TRADING_SERVICE_URL=http://localhost:8001 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 ## Direct-Service Coverage
Current direct-call coverage includes:
- runtime panel data loading
- gateway port/runtime discovery
- `story` - `story`
- `similar days` - `similar days`
- `range explain` - `range explain`
- `news for date` - `news for date`
- `news categories` - `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 If these variables are not set, the frontend falls back to local defaults and compatibility paths where they still exist.
WebSocket-driven compatibility flow.

View File

@@ -13,6 +13,7 @@ import { useAgentStore } from './store/agentStore';
import { useMarketStore } from './store/marketStore'; import { useMarketStore } from './store/marketStore';
import { usePortfolioStore } from './store/portfolioStore'; import { usePortfolioStore } from './store/portfolioStore';
import { useRuntimeStore } from './store/runtimeStore'; import { useRuntimeStore } from './store/runtimeStore';
import { useOpenClawStore } from './store/openclawStore';
import { useUIStore } from './store/uiStore'; import { useUIStore } from './store/uiStore';
const EDITABLE_AGENT_WORKSPACE_FILES = [ const EDITABLE_AGENT_WORKSPACE_FILES = [
@@ -141,6 +142,11 @@ export default function LiveTradingApp() {
addSystemMessage, addSystemMessage,
}); });
// Make clientRef available to OpenClaw panel via store
useEffect(() => {
useOpenClawStore.getState().setClientRef(clientRef);
}, [clientRef]);
const runtimeControls = useRuntimeControls({ const runtimeControls = useRuntimeControls({
clientRef, clientRef,
currentTickers: tickers, currentTickers: tickers,

View File

@@ -14,6 +14,7 @@ const AgentFeed = lazy(() => import('./AgentFeed'));
const StatisticsView = lazy(() => import('./StatisticsView')); const StatisticsView = lazy(() => import('./StatisticsView'));
const StockExplainView = lazy(() => import('./StockExplainView.jsx')); const StockExplainView = lazy(() => import('./StockExplainView.jsx'));
const TraderView = lazy(() => import('./TraderView.jsx')); const TraderView = lazy(() => import('./TraderView.jsx'));
const OpenClawView = lazy(() => import('./OpenClawView.jsx'));
function ViewLoadingFallback({ label = '加载中...' }) { function ViewLoadingFallback({ label = '加载中...' }) {
return ( return (
@@ -171,7 +172,8 @@ export default function AppShell({
const base = `view-slider-five ${currentView === 'traders' ? 'show-traders' : const base = `view-slider-five ${currentView === 'traders' ? 'show-traders' :
currentView === 'room' ? 'show-room' : currentView === 'room' ? 'show-room' :
currentView === 'explain' ? 'show-explain' : currentView === 'explain' ? 'show-explain' :
currentView === 'statistics' ? 'show-statistics' : 'show-chart'}`; currentView === 'chart' ? 'show-chart' :
currentView === 'statistics' ? 'show-statistics' : 'show-openclaw'}`;
return base; return base;
}, [currentView]); }, [currentView]);
@@ -382,6 +384,12 @@ export default function AppShell({
> >
统计 统计
</button> </button>
<button
className={`view-nav-btn ${currentView === 'openclaw' ? 'active' : ''}`}
onClick={() => setCurrentView('openclaw')}
>
OpenClaw
</button>
</div> </div>
<div className={viewClassName}> <div className={viewClassName}>
@@ -485,6 +493,13 @@ export default function AppShell({
/> />
</Suspense> </Suspense>
</div> </div>
{/* OpenClaw View Panel */}
<div className="view-panel">
<Suspense fallback={<ViewLoadingFallback label="加载 OpenClaw 视图..." />}>
<OpenClawView />
</Suspense>
</div>
</div> </div>
</div> </div>
</div> </div>

View File

@@ -127,7 +127,7 @@ export default function TraderView({
padding: '18px', padding: '18px',
background: 'linear-gradient(180deg, #ffffff 0%, #f4f7fb 100%)', background: 'linear-gradient(180deg, #ffffff 0%, #f4f7fb 100%)',
display: 'grid', display: 'grid',
gridTemplateRows: 'auto minmax(0, 1fr)', gridTemplateRows: 'auto auto 1fr',
gap: 18 gap: 18
}}> }}>
<div style={{ display: 'grid', gap: 4 }}> <div style={{ display: 'grid', gap: 4 }}>
@@ -138,13 +138,16 @@ 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 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> </div>
<div style={{ <div style={{
display: 'grid', display: 'grid',
gridTemplateColumns: '120px minmax(0, 1fr)', gridTemplateColumns: '120px minmax(0, 1fr)',
gap: 16, gap: 16,
alignItems: 'stretch', alignItems: 'stretch',
minHeight: 0 minHeight: 0,
overflow: 'hidden'
}}> }}>
{/* Left: agent avatar list */}
<div style={{ <div style={{
border: '1px solid #D9E0E7', border: '1px solid #D9E0E7',
borderRadius: 14, borderRadius: 14,
@@ -202,6 +205,7 @@ export default function TraderView({
})} })}
</div> </div>
{/* Right: agent detail content */}
<div style={{ <div style={{
border: '1px solid #D9E0E7', border: '1px solid #D9E0E7',
borderRadius: 14, borderRadius: 14,
@@ -265,7 +269,8 @@ export default function TraderView({
display: 'grid', display: 'grid',
gridTemplateColumns: 'minmax(300px, 420px) minmax(0, 1fr)', gridTemplateColumns: 'minmax(300px, 420px) minmax(0, 1fr)',
gap: 16, gap: 16,
alignItems: 'start' alignItems: 'start',
minHeight: 0
}}> }}>
<div style={{ display: 'grid', gap: 10 }}> <div style={{ display: 'grid', gap: 10 }}>
<div style={{ <div style={{

View File

@@ -9,7 +9,7 @@ const resolveValue = (updater, currentValue) => (
*/ */
export const useUIStore = create((set) => ({ export const useUIStore = create((set) => ({
// Current view // 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) })), setCurrentView: (currentView) => set((state) => ({ currentView: resolveValue(currentView, state.currentView) })),
// Chart tab // Chart tab

View File

@@ -1098,6 +1098,10 @@ export default function GlobalStyles() {
transform: translateX(-80%); transform: translateX(-80%);
} }
.view-slider-five.show-openclaw {
transform: translateX(-100%);
}
.view-panel { .view-panel {
flex: 0 0 33.333%; flex: 0 0 33.333%;
width: 33.333%; width: 33.333%;

BIN
frontend/trader-full.png Normal file

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After

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Submodule reference/CoPaw deleted from 934cfce0a7

Submodule reference/Hyper-Alpha-Arena deleted from f137cff476

Submodule reference/PokieTicker deleted from 4fed7755e5

Submodule reference/openclaw updated: 7b151afeeb...f92c92515b

Submodule reference/openclaw-control-center added at 473f42bb41

View File

@@ -1,73 +1,160 @@
# EvoTraders Services Architecture # EvoTraders Service Surfaces
This repo is currently in a **migration state** between a modular monolith and This repository is in a split-first state: local development now assumes
fully split services. Service boundaries now exist as dedicated FastAPI app separate app surfaces and a dedicated WebSocket gateway instead of a single
surfaces, and local development now runs those split services directly. combined backend entrypoint.
## Current App Surfaces ## Service Map
| App surface | Default port | Responsibility | | Surface | Default port | Role |
| --- | --- | --- | | --- | --- | --- |
| `backend.apps.agent_service` | 8000 | Control-plane only: workspaces, agents, guard. | | `backend.apps.agent_service` | `8000` | Control plane for workspaces, agents, skills, guard/approvals |
| `backend.apps.runtime_service` | 8003 | Runtime lifecycle only: `/api/runtime/*`. | | `backend.apps.trading_service` | `8001` | Read-only trading data APIs such as prices, financials, insider trades |
| `backend.apps.trading_service` | 8001 | Read-only trading data: prices, financials, insider trades, market status, market cap. | | `backend.apps.news_service` | `8002` | Read-only explain/news APIs such as story, similar days, range explain |
| `backend.apps.news_service` | 8002 | Read-only explain/news data: enriched news, categories, story, similar days, range explain. | | `backend.apps.runtime_service` | `8003` | Runtime lifecycle APIs under `/api/runtime/*` |
| `backend.apps.openclaw_service` | `8004` | Read-only OpenClaw REST facade |
| Gateway (`backend.main`) | `8765` | WebSocket feed, runtime event stream, legacy/compat orchestration path |
| OpenClaw Gateway | `18789` | External OpenClaw WebSocket endpoint consumed by EvoTraders gateway |
## Local Development Modes ## What Runs By Default In Dev
### 1. Split-service mode The supported local dev path is:
This is now the default development mode.
```bash ```bash
./start-dev.sh ./start-dev.sh
# explicit
./start-dev.sh split
``` ```
Run dedicated service surfaces explicitly: That script starts:
- `agent_service` on `8000`
- `trading_service` on `8001`
- `news_service` on `8002`
- `runtime_service` on `8003`
- EvoTraders gateway on `8765`
It does **not** start `openclaw_service` on `8004`.
Instead, the gateway expects an OpenClaw WebSocket server to already be
available at `ws://localhost:18789` unless you override the OpenClaw gateway
configuration outside the script.
## Manual Startup
Run split service surfaces explicitly:
```bash ```bash
python -m uvicorn backend.apps.agent_service:app --port 8000 --reload python -m uvicorn backend.apps.agent_service:app --host 0.0.0.0 --port 8000 --reload
python -m uvicorn backend.apps.runtime_service:app --port 8003 --reload python -m uvicorn backend.apps.trading_service:app --host 0.0.0.0 --port 8001 --reload
python -m uvicorn backend.apps.trading_service:app --port 8001 --reload python -m uvicorn backend.apps.news_service:app --host 0.0.0.0 --port 8002 --reload
python -m uvicorn backend.apps.news_service:app --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
``` ```
## Migration Variables Optional OpenClaw REST surface:
These env vars control whether the app still uses local-module fallbacks or ```bash
prefers service boundaries: python -m uvicorn backend.apps.openclaw_service:app --host 0.0.0.0 --port 8004 --reload
```
| Variable | Used by | Purpose | ## Runtime Responsibilities
The runtime path is intentionally split:
- `runtime_service` handles start, stop, restart, current runtime info, logs, and runtime state APIs
- `agent_service` handles control-plane reads and writes for agents, workspaces, files, and approvals
- `backend.main` / gateway hosts the live WebSocket channel and coordinates market service, scheduler, and pipeline execution
The practical request path looks like:
`frontend -> runtime_service/control APIs -> gateway/runtime manager -> market service + pipeline + storage`
## Environment Variables
### Backend routing preferences
These variables let the gateway or tools prefer split services over in-process fallbacks:
| Variable | Used by | Meaning |
| --- | --- | --- | | --- | --- | --- |
| `NEWS_SERVICE_URL` | backend Gateway | Prefer `news-service` for explain/news read paths | | `TRADING_SERVICE_URL` | gateway, data tools | Prefer `trading_service` for trading reads |
| `TRADING_SERVICE_URL` | backend Gateway | Prefer `trading-service` for trading read paths | | `NEWS_SERVICE_URL` | gateway, data tools | Prefer `news_service` for explain/news reads |
| `RUNTIME_SERVICE_URL` | reserved | Future runtime/control-plane split follow-up | | `RUNTIME_SERVICE_URL` | dev scripts / future follow-up | Reserved for runtime-service-aware flows |
| `VITE_NEWS_SERVICE_URL` | frontend | Direct browser calls to `news-service` for selected explain paths | | `OPENCLAW_SERVICE_URL` | dev scripts / future follow-up | Points at the OpenClaw gateway origin in current dev setup |
| `VITE_TRADING_SERVICE_URL` | frontend | Reserved for future direct trading reads |
If these are empty, the repo keeps using local module fallbacks where they still exist. Current `start-dev.sh` defaults:
## Current Internal Direction ```bash
TRADING_SERVICE_URL=http://localhost:8001
NEWS_SERVICE_URL=http://localhost:8002
RUNTIME_SERVICE_URL=http://localhost:8003
OPENCLAW_SERVICE_URL=http://localhost:18789
```
The repository is now organized around split service surfaces: Note that `OPENCLAW_SERVICE_URL` currently points at the OpenClaw gateway origin used by the live WebSocket bridge, not the optional REST app on `:8004`.
### Frontend service targets
The frontend can directly call split 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 Frontend Direct-Call Coverage
Direct browser calls currently cover:
- runtime panel loading and runtime discovery
- story
- similar days
- range explain
- news for date
- news categories
- selected trading reads such as stock history and insider trades
Other flows still depend on the gateway WebSocket and control plane APIs.
## OpenClaw Integration Notes
There are two separate OpenClaw integration surfaces in this repo:
- OpenClaw WebSocket gateway on `:18789`
- used directly by `backend/services/gateway.py`
- this is what `start-dev.sh` assumes exists
- `backend.apps.openclaw_service` on `:8004`
- optional REST facade over OpenClaw CLI-backed reads
- useful for typed client access and service-level testing
Do not treat those as interchangeable in docs or deployment config.
## Internal Module Direction
The codebase is now organized around these boundaries:
```text ```text
frontend frontend
├─ runtime/control/news/trading split endpoints ├─ runtime/control/news/trading API clients
└─ selective per-request fallbacks where still retained └─ WebSocket runtime feed
backend.apps.agent_service backend.apps.agent_service
└─ control-plane routes └─ control-plane routes
backend.apps.runtime_service backend.apps.runtime_service
└─ runtime lifecycle + gateway discovery └─ runtime lifecycle routes
backend.apps.trading_service backend.apps.trading_service
└─ read-only trading contract └─ read-only trading contract
backend.apps.news_service backend.apps.news_service
└─ read-only explain/news contract └─ read-only explain/news contract
backend.apps.openclaw_service
└─ optional OpenClaw REST facade
backend.main / backend.services.gateway
└─ live orchestration, feed transport, scheduler, runtime coordination
``` ```

View File

@@ -2,13 +2,15 @@
"""Shared client package.""" """Shared client package."""
from shared.client.control_client import ControlPlaneClient from shared.client.control_client import ControlPlaneClient
from shared.client.trading_client import TradingServiceClient
from shared.client.news_client import NewsServiceClient from shared.client.news_client import NewsServiceClient
from shared.client.openclaw_client import OpenClawServiceClient
from shared.client.runtime_client import RuntimeServiceClient from shared.client.runtime_client import RuntimeServiceClient
from shared.client.trading_client import TradingServiceClient
__all__ = [ __all__ = [
"ControlPlaneClient", "ControlPlaneClient",
"RuntimeServiceClient", "RuntimeServiceClient",
"TradingServiceClient", "TradingServiceClient",
"NewsServiceClient", "NewsServiceClient",
"OpenClawServiceClient",
] ]

View File

@@ -1,8 +1,8 @@
#!/bin/bash #!/usr/bin/env bash
# EvoTraders Development Startup Script # EvoTraders Development Startup Script
# Split-service mode only # Split-service mode only
set -e set -euo pipefail
echo "==========================================" echo "=========================================="
echo "EvoTraders Development Environment" echo "EvoTraders Development Environment"
@@ -14,24 +14,84 @@ GREEN='\033[0;32m'
YELLOW='\033[1;33m' YELLOW='\033[1;33m'
NC='\033[0m' # No Color NC='\033[0m' # No Color
# Check virtual environment SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
if [ -z "$VIRTUAL_ENV" ]; then cd "${SCRIPT_DIR}"
echo -e "${YELLOW}Warning: Virtual environment not activated${NC}"
echo "Activating .venv..."
source .venv/bin/activate
fi
# Load environment variables
if [ -f .env ]; then
echo -e "${GREEN}Loading environment from .env${NC}"
export $(grep -v '^#' .env | xargs)
else
echo -e "${YELLOW}Warning: .env file not found${NC}"
fi
cd /Users/cillin/workspeace/evotraders
PIDS=() PIDS=()
require_command() {
local command_name="$1"
if ! command -v "${command_name}" >/dev/null 2>&1; then
echo -e "${RED}Missing required command: ${command_name}${NC}"
exit 1
fi
}
check_python_module() {
local module_name="$1"
if ! python -c "import ${module_name}" >/dev/null 2>&1; then
echo -e "${RED}Missing required Python module: ${module_name}${NC}"
echo "Install dependencies with one of:"
echo " pip install -r requirements.txt"
echo " pip install -r requirements-dev.txt"
echo " uv pip install -e '.[dev]'"
exit 1
fi
}
load_env_file() {
if [ -f .env ]; then
echo -e "${GREEN}Loading environment from .env${NC}"
set -a
source .env
set +a
else
echo -e "${YELLOW}Warning: .env file not found. Copy env.template to .env first if you need live credentials.${NC}"
fi
}
check_env_var() {
local var_name="$1"
local severity="${2:-warn}"
local value="${!var_name:-}"
if [ -z "${value}" ]; then
if [ "${severity}" = "error" ]; then
echo -e "${RED}Missing required environment variable: ${var_name}${NC}"
exit 1
fi
echo -e "${YELLOW}Warning: ${var_name} is not set${NC}"
fi
}
check_openclaw_gateway() {
local target_host="127.0.0.1"
local target_port="18789"
if python - <<PY >/dev/null 2>&1
import socket
sock = socket.socket()
sock.settimeout(1.0)
sock.connect(("${target_host}", ${target_port}))
sock.close()
PY
then
echo -e "${GREEN}OpenClaw gateway reachable at ws://${target_host}:${target_port}${NC}"
else
echo -e "${YELLOW}Warning: OpenClaw gateway is not reachable at ws://${target_host}:${target_port}${NC}"
echo " OpenClaw panel features may be unavailable until it is started."
fi
}
print_prereq_help() {
echo "Environment checks:"
echo " - repo root: ${SCRIPT_DIR}"
echo " - python: $(command -v python)"
if [ -n "${VIRTUAL_ENV:-}" ]; then
echo " - virtualenv: ${VIRTUAL_ENV}"
else
echo " - virtualenv: not activated"
fi
}
start_service() { start_service() {
local name="$1" local name="$1"
local app_path="$2" local app_path="$2"
@@ -74,11 +134,51 @@ if [ $# -gt 0 ]; then
echo "Split-service mode is now the only supported development mode." echo "Split-service mode is now the only supported development mode."
fi fi
require_command python
require_command lsof
if [ -z "${VIRTUAL_ENV:-}" ]; then
if [ -f ".venv/bin/activate" ]; then
echo -e "${YELLOW}Virtual environment not activated; auto-activating .venv${NC}"
# shellcheck disable=SC1091
source .venv/bin/activate
else
echo -e "${YELLOW}Warning: no active virtual environment and .venv not found${NC}"
fi
fi
load_env_file
print_prereq_help
python - <<'PY'
import sys
if sys.version_info < (3, 9):
raise SystemExit("Python 3.9+ is required")
print(f"Python version OK: {sys.version.split()[0]}")
PY
check_python_module fastapi
check_python_module uvicorn
check_python_module websockets
check_python_module yaml
check_python_module dotenv
check_env_var OPENAI_API_KEY
check_env_var FINNHUB_API_KEY
check_env_var FIN_DATA_SOURCE
if ! command -v npm >/dev/null 2>&1; then
echo -e "${YELLOW}Warning: npm is not installed. Frontend startup via 'evotraders frontend' will not work.${NC}"
fi
export TRADING_SERVICE_URL="${TRADING_SERVICE_URL:-http://localhost:8001}" export TRADING_SERVICE_URL="${TRADING_SERVICE_URL:-http://localhost:8001}"
export NEWS_SERVICE_URL="${NEWS_SERVICE_URL:-http://localhost:8002}" export NEWS_SERVICE_URL="${NEWS_SERVICE_URL:-http://localhost:8002}"
export RUNTIME_SERVICE_URL="${RUNTIME_SERVICE_URL:-http://localhost:8003}" export RUNTIME_SERVICE_URL="${RUNTIME_SERVICE_URL:-http://localhost:8003}"
export OPENCLAW_SERVICE_URL="${OPENCLAW_SERVICE_URL:-http://localhost:18789}" export OPENCLAW_SERVICE_URL="${OPENCLAW_SERVICE_URL:-http://localhost:18789}"
check_openclaw_gateway
echo "" echo ""
echo -e "${GREEN}Starting EvoTraders split services (default mode)...${NC}" echo -e "${GREEN}Starting EvoTraders split services (default mode)...${NC}"
echo " agent_service: http://localhost:8000" echo " agent_service: http://localhost:8000"

68
test_openclaw_ws.py Normal file
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Quick test script for OpenClaw WebSocket client."""
import asyncio
import sys
sys.path.insert(0, '.')
from shared.client.openclaw_websocket_client import (
OpenClawWebSocketClient,
DEFAULT_GATEWAY_URL,
)
async def test_connection():
"""Test basic connection to OpenClaw Gateway."""
print(f"Connecting to {DEFAULT_GATEWAY_URL}...")
client = OpenClawWebSocketClient(
url=DEFAULT_GATEWAY_URL,
client_name="cli",
client_version="1.0.0",
gateway_token="d4b2d831b8a177b5cac07e781f438af3840bd0dfaca630ee",
)
try:
hello = await client.connect()
print(f"✓ Connected!")
print(f" Protocol version: {hello.protocol}")
print(f" Server version: {hello.server_version}")
print(f" Connection ID: {hello.conn_id}")
# List sessions
print("\nListing sessions...")
sessions = await client.list_sessions(limit=5)
print(f" Found {len(sessions)} sessions")
for session in sessions[:3]:
print(f" - {session.get('key', 'unknown')}")
# List agents
print("\nListing agents...")
agents = await client.list_agents()
print(f" Found {len(agents)} agents")
for agent in agents[:3]:
print(f" - {agent.get('id', 'unknown')}: {agent.get('name', 'unknown')}")
# Send a message to agent
if sessions:
session_key = sessions[0].get('key')
if session_key:
print(f"\nSending message to session: {session_key}")
result = await client.send_message(session_key, "Hello! This is a test message from Python.")
print(f" Message sent: {result}")
await client.disconnect()
print("\n✓ All tests passed!")
return True
except Exception as e:
print(f"✗ Error: {e}")
import traceback
traceback.print_exc()
return False
if __name__ == "__main__":
success = asyncio.run(test_connection())
sys.exit(0 if success else 1)