API Security and Enhancement Specification for AI Chat System

Below is a concise yet detailed specification covering membership levels, rate limiting, logging, error handling, two-factor authentication, out-of-region login verification, and automated prohibited words replacement. This document is intended for developers working with a Golang backend and a React frontend and should be adjusted per business and compliance requirements.

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## 1. Membership Level Mechanism

### 1.1 Model and Tier Definition

- **Tiers (T1 to T5)**:

- Define five tiers similar to OpenAI’s model. Higher tiers get higher API call frequencies, better quotas, and additional privileges.

- **Recharge Thresholds**:

- E.g., T1: 0–X, T2: X+1–Y, T3: Y+1–Z, T4: Z+1–W, T5: >W.

- Thresholds should be dynamically configurable.

### 1.2 Privilege Control

- **Automatic Upgrades**:

- System tracks recharge amounts and upgrades tiers automatically.

- **Privileges**:

- Higher tiers can gain benefits like priority queuing and discounts.

- **Admin UI**:

- Provide an interface to view and adjust membership privileges.

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## 2. API Request Rate Limiting

### 2.1 Tier-Based Limits

- **Differentiated Limits**:

- T1: 5 req/sec, 100/min; T2: 10 req/sec, 200/min; T3: 15 req/sec, 300/min; T4: 20 req/sec, 500/min; T5: special/custom limit.

- **Implementation**:

- Use middleware in Golang (or API gateways) to enforce per-IP, account, and API key limits.

### 2.2 Circuit Breaker and Throttling

- **Circuit Breaker**:

- Triggered on consecutive failures or abuse patterns, with thresholds adjustable by tier.

- **Throttling**:

- Use token bucket or leaky bucket algorithms to smooth out traffic peaks.

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## 3. API Access Monitoring and Logging

### 3.1 Log Recording

- **Details Recorded**:

- Log source IP, request parameters, HTTP method, status code, response data (or digest), timestamp, and duration.

- **Security**:

- Store logs in an encrypted, access-controlled database or logging system.

### 3.2 Centralized Auditing & SIEM

- **Centralized Management**:

- Use ELK/Graylog to aggregate logs.

- **SIEM Integration**:

- Define triggers for abnormal patterns (e.g., frequent failures) and send alerts to the security team.

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## 4. Error Handling Enhancements

### 4.1 Hide Internal Errors

- **Error Codes**:

- Return standardized error codes and brief messages only; detailed errors are logged internally.

### 4.2 Global Exception Handling

- **Middleware**:

- Implement a global exception handler in Golang to capture unhandled exceptions and log details without exposing sensitive information.

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## 5. Google Two-Factor Authentication (2FA)

### 5.1 2FA Setup

- **Integration**:

- Use Google Authenticator (TOTP) for secondary verification.

- **User Control**:

- Allow users to enable/disable 2FA; enforce it for sensitive accounts.

### 5.2 Verification Process

- **Workflow**:

- After the password check, require a TOTP code.

- **Backup**:

- Provide one-time backup codes for emergencies.

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## 6. Out-of-Region Login Verification

### 6.1 Detection

- **Monitoring**:

- Detect abnormal login IP/location changes by comparing current login with usual patterns.

- **Data Points**:

- Record device fingerprint, browser data, and geo-location.

### 6.2 Verification Steps

- **Email/SMS Verification**:

- Send a one-time email (or SMS if a mobile number exists) containing a link or code to verify the login attempt.

- **Admin Review**:

- Log all events with details for potential audit and manual review.

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## 7. Automated Prohibited Words Replacement

### 7.1 Overview

- **Purpose**:

- Automatically detect and replace prohibited words in API requests to ensure compliance.

### 7.2 Key Requirements

- **Detection & Replacement**:

- Scan user-submitted content and replace banned words with pre-defined alternatives or masks.

- **Customizable List**:

- Maintain a dynamic, editable list of prohibited words and corresponding replacements in a database.

- **Logging**:

- Log details of replacements (user ID, endpoint, original and sanitized content, timestamp) for auditing.

- **Performance**:

- Use efficient string matching algorithms (e.g., Aho-Corasick) and caching (such as Redis) to minimize latency.

### 7.3 Implementation Approach

- **Middleware Integration**:

- Develop middleware in Golang to intercept, scan, and alter API request content before further processing.

- **Admin UI for Management**:

- Provide an admin interface for modifying the list and rules.

- **Notification and Fallback**:

- Optionally notify users of modifications; if replacement fails, return a suitable error message.

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## Summary

This specification includes:

1. **Membership Level Mechanism**: Automatic tier upgrades based on recharge amounts with predefined API privileges.

2. **API Rate Limiting**: Tier-based limits with circuit breakers and throttling.

3. **Comprehensive Logging & SIEM Integration**: Detailed request/response logging and central auditing.

4. **Robust Error Handling**: Hiding internal error details via a global exception handler.

5. **Google 2FA**: Adding TOTP-based secondary authentication.

6. **Out-of-Region Verification**: Email/SMS verification upon detecting unusual logins.

7. **Prohibited Words Replacement**: Automated content scanning, replacement, and logging to ensure compliance.

Developers should ensure that sensitive data (logs, keys, errors) are encrypted and that all new features align with data privacy laws (e.g., GDPR, CCPA). Adjust the details to meet evolving business and regulatory needs.

Please review and implement these requirements as part of your development process.

Golang React.js Full Stack Development

ID do Projeto: #38995604

Sobre o projeto