Banking Agent OS
AI-powered banking system for intelligent agents - 智能体银行交易系统
Overview
Banking Agent OS is a comprehensive banking platform designed specifically for AI agents and intelligent systems. It provides secure account management, transaction processing, AI-powered customer service, and advanced risk control.
Perfect for building:
- - AI Agent Banking Systems
- Marketplace Transaction Platforms
- Digital Wallet Services
- Automated Risk Management Systems
Key Features
1. Account Management
- - Multi-type accounts: Checking, Savings, Agent Wallet, Escrow
- Real-time balance tracking: Instant updates and queries
- Account freeze/unfreeze: Security controls
- Multi-currency support: USD and more
- User and agent accounts: Flexible account types
2. Transaction System
- - Secure fund transfers: Atomic transactions with rollback
- Deposits and withdrawals: Full support
- Payment processing: Real-time execution
- Transaction history: Complete audit trail
- Automated reconciliation: Balance verification
3. AI-Powered Services (OpenAI GPT-4)
- - Intelligent customer support: AI chatbot for banking queries
- Transaction analysis: Insights and patterns
- Personalized financial advice: AI-generated recommendations
- Anomaly detection: Unusual pattern recognition
- Fraud prevention: AI-powered security
4. Risk Control
- - Real-time risk assessment: 0.0-1.0 scoring
- Transaction limit enforcement: Daily limits and velocity checks
- Velocity checking: Rapid transaction detection
- Fraud detection algorithms: Multiple risk indicators
- Comprehensive risk reporting: Detailed analytics
Technology Stack
Backend:
- - Python 3.9+
- FastAPI framework
- SQLAlchemy 2.0 (async)
- Pydantic 2.0 for validation
- OpenAI GPT-4
Frontend SDK (optional):
- - TypeScript
- Node.js 16+
- Axios HTTP client
Installation
Prerequisites
Required:
- - Python 3.9 or higher
- OpenAI API Key (get from https://platform.openai.com/api-keys)
Optional (for JavaScript SDK):
Method 1: Python Package via PyPI (Recommended)
CODEBLOCK0
Method 2: JavaScript SDK via npm (For SDK Users)
CODEBLOCK1
Then use in your Node.js/TypeScript project:
CODEBLOCK2
Note: The npm package is a client SDK only. You still need the Python backend running.
Method 3: ClawHub Installation
CODEBLOCK3
Quick Start
1. Ensure Python Backend is Running
Before using the banking system, the backend server must be running:
CODEBLOCK4
Expected response:
CODEBLOCK5
2. Create an Account
CODEBLOCK6
Response:
CODEBLOCK7
3. Transfer Funds
CODEBLOCK8
4. AI Customer Support
CODEBLOCK9
API Endpoints
Accounts (3 endpoints)
- -
POST /api/accounts - Create new account - INLINECODE1 - Get account details
- INLINECODE2 - Get user's accounts
Transactions (3 endpoints)
- -
POST /api/transactions - Create transaction - INLINECODE4 - Get transaction details
- INLINECODE5 - Get account transactions
AI Service (4 endpoints)
- -
POST /api/ai/chat - AI customer support - INLINECODE7 - Analyze transaction
- INLINECODE8 - Get financial advice
- INLINECODE9 - Detect anomalies
Risk Control (2 endpoints)
- -
POST /api/risk/assess - Assess transaction risk - INLINECODE11 - Get risk report
System (2 endpoints)
- -
GET / - Root endpoint - INLINECODE13 - Health check
Usage Examples
Python API Usage
CODEBLOCK10
TypeScript SDK Usage
CODEBLOCK11
JavaScript (CommonJS) Usage
CODEBLOCK12
Use Cases
1. AI Agent Banking
Autonomous agents that need their own financial accounts and transaction capabilities.
2. Marketplace Transactions
E-commerce platforms with escrow services and automated payouts.
3. Digital Wallet Services
Agent wallet management with real-time balance tracking.
4. Risk Management
Real-time fraud detection and prevention for all transactions.
Configuration
Required Environment Variables
CODEBLOCK13
Python Dependencies
When installed via pip install banking-agent-os, all dependencies are automatically installed:
- - fastapi>=0.104.0
- uvicorn[standard]>=0.24.0
- sqlalchemy>=2.0.0
- aiosqlite>=0.19.0
- pydantic>=2.0.0
- openai>=1.0.0
- python-dotenv>=1.0.0
Node.js Dependencies (SDK Only)
When installed via npm install openclaw-banking-agent-os:
- - axios
- TypeScript types included
Security Considerations
API Key Safety
- - Never commit
.env files to version control - Store
OPENAI_API_KEY securely - Rotate API keys regularly
- Use environment-specific keys
Input Validation
- - All inputs validated with Pydantic
- SQL injection protection via SQLAlchemy
- Type checking throughout
Transaction Safety
- - Atomic operations with rollback
- Balance verification
- Risk assessment for all transactions
- Fraud detection enabled
Platform Links
| Platform | Package Name | Link |
|---|
| PyPI | INLINECODE18 | Coming soon |
| npm |
openclaw-banking-agent-os | https://www.npmjs.com/package/openclaw-banking-agent-os |
|
GitHub |
openclaw-banking-agent-os | https://github.com/ZhenStaff/openclaw-banking-agent-os |
|
ClawHub |
banking-agent-os | https://clawhub.ai/skills/banking-agent-os |
Documentation
Testing
The package includes comprehensive tests. After installation:
CODEBLOCK14
Troubleshooting
Q: AI features not working?
A: Ensure
OPENAI_API_KEY is set in your
.env file. Get a key from https://platform.openai.com/api-keys
Q: Database errors?
A: Check
DATABASE_URL configuration. SQLite is fine for development. Use PostgreSQL for production.
Q: Import errors?
A: Ensure package is installed: INLINECODE25
Q: Port already in use?
A: Change port: INLINECODE26
Q: TypeScript SDK can't connect?
A: Ensure Python backend is running at the correct URL. Check
baseURL in client configuration.
Performance
- - Transaction Processing: < 100ms average
- AI Response Time: 1-3 seconds (depends on OpenAI)
- Concurrent Users: Supports 100+ concurrent connections
- Database: Async SQLAlchemy for high performance
Roadmap
v1.1.0 (Planned)
- - Rate limiting and throttling
- Webhook notifications
- Enhanced fraud detection models
- Multi-language support for AI
v1.2.0 (Planned)
- - Real-time WebSocket updates
- Advanced analytics dashboard
- Batch transaction processing
- Enhanced security features
Support
- - GitHub Issues: https://github.com/ZhenStaff/openclaw-banking-agent-os/issues
- Email: team@openclaw.ai
- Documentation: https://github.com/ZhenStaff/openclaw-banking-agent-os#readme
License
MIT License - see LICENSE file for details.
Authors
Version: 1.0.0
Last Updated: 2026-03-09
Status: Production Ready
Installation:
pip install banking-agent-os or INLINECODE29
Banking Agent OS
AI-powered banking system for intelligent agents - 智能体银行交易系统
概述
Banking Agent OS 是一个专为AI智能体和智能系统设计的综合性银行平台。它提供安全的账户管理、交易处理、AI驱动的客户服务和高级风险控制。
适用于构建:
- - AI智能体银行系统
- 市场交易平台
- 数字钱包服务
- 自动化风险管理系统
主要功能
1. 账户管理
- - 多类型账户:支票账户、储蓄账户、智能体钱包、托管账户
- 实时余额追踪:即时更新和查询
- 账户冻结/解冻:安全控制
- 多币种支持:美元等
- 用户和智能体账户:灵活的账户类型
2. 交易系统
- - 安全资金转账:支持回滚的原子交易
- 存款和取款:全面支持
- 支付处理:实时执行
- 交易历史:完整的审计追踪
- 自动对账:余额验证
3. AI驱动服务(OpenAI GPT-4)
- - 智能客户支持:用于银行查询的AI聊天机器人
- 交易分析:洞察和模式识别
- 个性化财务建议:AI生成的推荐
- 异常检测:异常模式识别
- 欺诈预防:AI驱动的安全防护
4. 风险控制
- - 实时风险评估:0.0-1.0评分
- 交易限额执行:每日限额和速度检查
- 速度检查:快速交易检测
- 欺诈检测算法:多重风险指标
- 全面风险报告:详细分析
技术栈
后端:
- - Python 3.9+
- FastAPI框架
- SQLAlchemy 2.0(异步)
- Pydantic 2.0验证
- OpenAI GPT-4
前端SDK(可选):
- - TypeScript
- Node.js 16+
- Axios HTTP客户端
安装
前提条件
必需:
- - Python 3.9或更高版本
- OpenAI API密钥(从 https://platform.openai.com/api-keys 获取)
可选(用于JavaScript SDK):
方法1:通过PyPI安装Python包(推荐)
bash
安装包
pip install banking-agent-os
创建配置文件
cat > .env << EOF
OPENAI
APIKEY=your
openaiapi
keyhere
DATABASE
URL=sqlite+aiosqlite:///./bankingagent.db
EOF
启动服务器
python -m uvicorn app.main:app --host 0.0.0.0 --port 8000
方法2:通过npm安装JavaScript SDK(适用于SDK用户)
bash
安装SDK
npm install openclaw-banking-agent-os
然后在Node.js/TypeScript项目中使用:
typescript
import { BankingAgentClient, AccountType } from openclaw-banking-agent-os;
const client = new BankingAgentClient({
baseURL: http://localhost:8000 // 指向运行中的后端
});
注意:npm包仅为客户端SDK。您仍需要运行Python后端。
方法3:通过ClawHub安装
bash
通过ClawHub安装
clawhub install banking-agent-os
该技能将安装在您的技能目录中
cd skills/banking-agent-os
配置环境
cp .env.example .env
编辑.env文件添加您的OPENAIAPIKEY
启动服务器
python -m uvicorn app.main:app --host 0.0.0.0 --port 8000
快速开始
1. 确保Python后端正在运行
在使用银行系统之前,后端服务器必须正在运行:
bash
检查服务器是否正在运行
curl http://localhost:8000/health
如果未运行,启动它:
python -m uvicorn app.main:app --host 0.0.0.0 --port 8000
预期响应:
json
{
status: healthy,
database: connected,
ai_service: ready
}
2. 创建账户
bash
curl -X POST http://localhost:8000/api/accounts \
-H Content-Type: application/json \
-d {
userid: user123,
account_type: checking,
currency: USD,
initial_balance: 1000.00
}
响应:
json
{
id: acc_xxx,
account_number: ACC123456,
balance: 1000.00,
status: active
}
3. 转账
bash
curl -X POST http://localhost:8000/api/transactions \
-H Content-Type: application/json \
-d {
fromaccountid: acc_xxx,
toaccountid: acc_yyy,
amount: 100.00,
transaction_type: transfer,
description: Payment
}
4. AI客户支持
bash
curl -X POST http://localhost:8000/api/ai/chat \
-H Content-Type: application/json \
-d {
message: How do I check my account balance?
}
API端点
账户(3个端点)
- - POST /api/accounts - 创建新账户
- GET /api/accounts/{accountid} - 获取账户详情
- GET /api/accounts/user/{userid} - 获取用户账户
交易(3个端点)
- - POST /api/transactions - 创建交易
- GET /api/transactions/{transactionid} - 获取交易详情
- GET /api/transactions/account/{accountid} - 获取账户交易
AI服务(4个端点)
- - POST /api/ai/chat - AI客户支持
- POST /api/ai/analyze-transaction - 分析交易
- POST /api/ai/financial-advice - 获取财务建议
- POST /api/ai/detect-anomalies - 检测异常
风险控制(2个端点)
- - POST /api/risk/assess - 评估交易风险
- GET /api/risk/report/{account_id} - 获取风险报告
系统(2个端点)
- - GET / - 根端点
- GET /health - 健康检查
使用示例
Python API使用
python
import uvicorn
from app.main import app
以编程方式启动服务器
if
name ==
main:
uvicorn.run(
app,
host=0.0.0.0,
port=8000,
log_level=info
)
TypeScript SDK使用
typescript
import { BankingAgentClient, AccountType, TransactionType } from openclaw-banking-agent-os;
// 初始化客户端
const client = new BankingAgentClient({
baseURL: http://localhost:8000
});
// 创建账户
const account = await client.accounts.create({
userid: user123,
account_type: AccountType.CHECKING,
initial_balance: 1000.00
});
console.log(账户已创建:, account.account_number);
// 处理交易
const transaction = await client.transactions.create({
fromaccountid: account.id,
toaccountid: recipient_id,
amount: 100.00,
currency: USD,
transaction_type: TransactionType.TRANSFER,
description: Payment
});
console.log(交易已完成:, transaction.id);
// AI聊天
const response = await client.ai.chat({
message: How do I transfer money?
});
console.log(AI响应:, response.response);
JavaScript(CommonJS)使用
javascript
const { BankingAgentClient } = require(openclaw-banking-agent-os);
const client = new BankingAgentClient({
baseURL: http://localhost:8000
});
async function main() {
// 创建账户
const account = await client.accounts.create({
userid: user123,
account_type: checking,
initial_balance: 1000.00
});
console.log(账户已创建:, account.id);
}
main();
使用场景
1. AI智能体银行
需要自己金融账户和交易能力的自主智能体。
2. 市场交易
具有托管服务和自动支付的电子商务平台。
3. 数字钱包服务
具有实时余额追踪的智能体钱包管理。
4. 风险管理
所有交易的实时欺诈检测和预防。
配置
必需的环境变量
bash
必需: