Rules-Emerging-Pattern: AI Guardrails and Consistency Framework

A production-grade, modular rules engine providing strict guardrails, consistency enforcement, and safety boundaries for AI systems through a sophisticated tiered architecture with 15 modular subsystems, Python + TypeScript SDKs, and full compliance support.

flowchart TB
    subgraph External
        SDK_PY["Python SDK"]
        SDK_TS["TypeScript SDK"]
        CLI["CLI"]
    end

    subgraph API_Layer
        REST["REST API"]
        WS["WebSocket"]
        GQL["GraphQL"]
        AUTH["API Auth"]
        MW["Middleware"]
    end

    subgraph Core
        RE["Rule Engine"]
        ED["Rule Dispatcher"]
        EP["Evaluation Pipeline"]
        RA["Result Aggregator"]
        TIER["Tier Orchestrator"]
    end

    subgraph Models
        RM["Rule Models"]
        VM["Validation Models"]
        CM["Conflict Models"]
        MM["Monitor Models"]
        AM["Audit Models"]
    end

    subgraph Services
        LEARN["Learning Engine"]
        COMP["Compliance"]
        PRIV["Privacy"]
        SKILL["Skills"]
        MEM["Memory"]
        STORE["Storage"]
    end

    subgraph Observability
        METRICS["Metrics Collector"]
        ALERTS["Alert Manager"]
        DASH["Dashboard"]
        HEALTH["Health Checker"]
        EVENTS["Event Bus"]
    end

    subgraph Tools
        ANALYZER["Rule Analyzer"]
        DEBUG["Debug Tool"]
        PROFILER["Profiler"]
        TEST["Test Runner"]
        VIZ["Visualizer"]
    end

    subgraph Utils
        VALIDATORS["Validators"]
        SERIALIZERS["Serializers"]
        CACHE["Cache Manager"]
        CONFIG["Config Loader"]
        RATELIMIT["Rate Limiter"]
    end

    External --> API_Layer
    API_Layer --> Core
    Core --> Models
    Core --> Services
    Services --> Models
    Core --> Observability
    Services --> Observability
    Tools --> Core
    Tools --> Services
    Utils -.-> API_Layer
    Utils -.-> Core
    Utils -.-> Services

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---

Table of Contents

• System Architecture
• Module Overview
• Core Engine Flow
• Quick Start
• SDKs
• Project Structure
• API Reference
• Installation
• License

---

System Architecture

High-Level Component Interaction

sequenceDiagram
    participant C as Client (SDK/CLI)
    participant API as API Layer
    participant MW as Middleware
    participant RE as Rule Engine
    participant LEARN as Learning
    participant COMP as Compliance
    participant PRIV as Privacy
    participant MON as Monitoring
    participant STORE as Storage

    C->>API: Request
    API->>MW: Process
    MW->>RE: Evaluate
    RE->>PRIV: Check Privacy
    PRIV-->>RE: Privacy Result
    RE->>COMP: Check Compliance
    COMP-->>RE: Compliance Result
    RE->>LEARN: Analyze Pattern
    LEARN-->>RE: Pattern Match
    RE->>STORE: Store Result
    STORE-->>RE: Stored
    RE-->>MW: Result
    MW->>MON: Log Metrics
    MW-->>API: Response
    API-->>C: Validation Result

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Tiered Rule Evaluation

flowchart TD
    Input["Input Content"] --> Safety{"Safety Tier - Strict"}
    Safety -->|Pass| Operational{"Operational Tier - Advisory"}
    Safety -->|Fail| Block["Block Content - Violation"]
    Operational -->|Pass| Preference{"Preference Tier - Adaptive"}
    Operational -->|Warning| Flag["Flag + Continue"]
    Preference -->|Match| Apply["Apply User Preferences"]
    Preference -->|No Match| Default["Use Default Behavior"]
    Flag --> Preference
    Apply --> Output["Validated Output"]
    Default --> Output
    Block --> Response["Error Response"]

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---

Module Overview

Core Engine (src/core/)

classDiagram
    class RuleEngine {
        +evaluate(request) ValidationResult
        +evaluate_tiered(content, tier) ValidationResult
        +get_statistics() dict
        +shutdown() void
    }
    class RuleDispatcher {
        +dispatch(content, context) list
        +get_applicable_rules(context) list
    }
    class EvaluationPipeline {
        +run(content, rules) PipelineResult
        +run_batch(contents) list
    }
    class ResultAggregator {
        +aggregate(results) ValidationResult
        +score_results(results) float
    }
    class EngineConfig {
        +safety_rules string
        +operational_rules string
        +preference_rules string
    }
    class TierOrchestrator {
        +evaluate_tier(content, tier) TierResult
        +get_tier_metrics() dict
    }

    RuleEngine --> RuleDispatcher
    RuleEngine --> EngineConfig
    RuleEngine --> TierOrchestrator
    RuleDispatcher --> EvaluationPipeline
    EvaluationPipeline --> ResultAggregator

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Compliance (src/compliance/)

flowchart LR
    Input["Content"] --> Orchestrator["Compliance Orchestrator"]
    Orchestrator --> GDPR["GDPR Checker - Data Protection"]
    Orchestrator --> HIPAA["HIPAA Checker - Health Data"]
    Orchestrator --> PCI["PCI Checker - Payment Data"]
    Orchestrator --> SOX["SOX Checker - Financial Data"]
    GDPR --> Report["Compliance Report"]
    HIPAA --> Report
    PCI --> Report
    SOX --> Report
    Report --> Action{"Action Required?"}
    Action -->|Yes| Remediate["Remediate"]
    Action -->|No| Pass["Pass - Clear"]

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Monitoring (src/monitoring/)

flowchart TD
    S["System Events"] --> MC["Metrics Collector"]
    S --> HC["Health Checker"]
    MC --> EB["Event Bus"]
    HC --> EB
    EB --> AM["Alert Manager"]
    EB --> DASH["Dashboard"]
    AM -->|Critical| PAGER["PagerDuty"]
    AM -->|Warning| SLACK["Slack"]
    AM -->|Info| LOG["Log"]
    DASH --> GRAFANA["Grafana/Prometheus"]

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Learning (src/learning/)

sequenceDiagram
    participant FE as Feature Extractor
    participant PE as Pattern Engine
    participant TA as Trend Analyzer
    participant FL as Feedback Learner
    participant MT as Model Trainer

    Content->>FE: Extract Features
    FE->>PE: Feature Vector
    PE->>PE: Match Patterns
    PE->>TA: Pattern Data
    TA->>TA: Analyze Trends
    TA-->>FL: Trend Insights
    Feedback->>FL: User Feedback
    FL->>MT: Training Data
    MT->>MT: Train Model
    MT-->>PE: Updated Patterns

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Privacy (src/privacy/)

flowchart LR
    Input["Raw Content"] --> Classifier["Data Classifier - PII Detection"]
    Classifier -->|PII Found| Redact["Data Redactor - Masking"]
    Classifier -->|No PII| Pass["Pass Through"]
    Redact --> Consent["Consent Manager - Verify Consent"]
    Consent --> Anonymize["Anonymizer - Generalize/Suppress"]
    Anonymize --> Auditor["Privacy Auditor - Audit Trail"]
    Pass --> Output["Safe Output"]
    Auditor --> Output

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Skills (src/skills/)

flowchart TD
    Load["Skill Loader"] --> Registry["Skill Registry"]
    Registry --> Validator["Skill Validator"]
    Validator --> Executor["Skill Executor"]
    Executor -->|Execute| Skill1["Rule Skill 1"]
    Executor -->|Execute| Skill2["Rule Skill 2"]
    Executor -->|Execute| SkillN["Rule Skill N"]
    Skill1 --> Result["Aggregated Result"]
    Skill2 --> Result
    SkillN --> Result

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Storage (src/storage/)

flowchart LR
    subgraph Cache_Layer
        CS["Cache Store (Redis/Mem)"]
    end
    subgraph Persistent_Layer
        FS["File Store (Disk/S3)"]
        RS["Rule Storage (DB)"]
    end
    subgraph Operations
        BM["Backup Manager"]
        MM["Migration Manager"]
    end

    App["Application"] --> RS
    App --> CS
    CS -->|Miss| FS
    BM --> FS
    MM --> RS

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API Layer (src/api/)

sequenceDiagram
    participant Client
    participant MW as Middleware
    participant Auth as API Auth
    participant REST as REST API
    participant WS as WebSocket
    participant GQL as GraphQL

    Client->>MW: HTTP Request
    MW->>Auth: Authenticate
    Auth-->>MW: Token Valid
    MW->>REST: Route
    REST->>REST: Process
    REST-->>MW: JSON Response
    MW-->>Client: Response

    Client->>WS: Connect
    WS->>WS: Upgrade
    WS-->>Client: Bidirectional

    Client->>GQL: Query
    GQL->>GQL: Resolve
    GQL-->>Client: Data

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CLI (src/cli/)

flowchart LR
    User["User"] --> CLI["CLI Entry"]
    CLI --> Parser["Command Parser"]
    Parser --> Validate["Validate"]
    Parser --> ConfigCMD["Config Commands"]
    Parser --> Batch["Batch Processor"]
    Parser --> Interactive["Interactive Shell"]
    Interactive --> Output["Output Formatter"]
    Validate --> Output
    ConfigCMD --> Output
    Batch --> Output
    Output --> Console["Console"]

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Middleware (src/middleware/)

flowchart LR
    Req["Request"] --> VM["Validation Middleware"]
    VM --> AuthM["Auth Middleware"]
    AuthM --> RL["Rate Limit Middleware"]
    RL --> Log["Logging Middleware"]
    Log --> Handler["Route Handler"]
    Handler --> Audit["Audit Middleware"]
    Audit --> Resp["Response"]

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Advanced Features (src/advanced/)

flowchart TD
    Input["Content"] --> IA["Intent Analyzer - Classify Intent"]
    IA --> AV["Age Verifier - Age Check"]
    IA --> ER["Emergency Response - Safety Check"]
    AV --> Sandbox["Code Sandbox - Isolated Execution"]
    ER --> Reporter["Violation Reporter - Generate Report"]
    Sandbox --> Output
    Reporter --> Output
    Output["Safe Output"]

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Memory (src/memory/)

flowchart LR
    subgraph Cache
        RC["Rule Cache - L1 Hot"]
        PM["Pattern Cache - L2 Warm"]
        CM["Context Memory - L3 Cold"]
    end
    subgraph State["State Management"]
        RS["Result Store"]
        SS["Session State"]
    end
    App["Application"] --> RC
    RC -->|Miss| PM
    PM -->|Miss| CM
    App --> RS
    App --> SS

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Tools (src/tools/)

flowchart LR
    Rules["Rules"] --> Analyzer["Rule Analyzer - Structure"]
    Analyzer --> Debug["Debug Tool - Breakpoints"]
    Debug --> Profiler["Profiler - Performance"]
    Profiler --> Test["Test Runner - Unit/Integration"]
    Test --> VIZ["Visualizer - Graph"]

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Utilities (src/utils/)

flowchart LR
    subgraph Utils
        V["Validators - Input/Type/Format"]
        S["Serializers - JSON/YAML/Protobuf"]
        CM["Cache Manager - TTL/LRU"]
        CL["Config Loader - Env/File/Remote"]
        RL["Rate Limiter - Token Bucket"]
    end
    All["All Modules"] --> V
    All --> S
    All --> CM
    All --> CL
    API["API Layer"] --> RL

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---

Core Engine Flow

The complete end-to-end rule evaluation flow:

sequenceDiagram
    participant Client
    participant API as API Gateway
    participant MW as Middleware Stack
    participant RE as Rule Engine
    participant TD as Tier Dispatcher
    participant EP as Eval Pipeline
    participant RA as Result Aggregator
    participant MON as Monitoring
    participant STORE as Storage

    Client->>API: POST /api/v1/validate
    API->>MW: Request Pipeline
    MW->>MW: Validate Request
    MW->>MW: Authenticate User
    MW->>MW: Rate Limit Check
    MW->>MW: Log Request
    MW->>RE: RuleEvaluationRequest

    RE->>RE: Parse Request
    RE->>TD: Dispatch by Tier

    TD->>TD: Safety Tier Check
    TD->>TD: Operational Tier Check
    TD->>TD: Preference Tier Check

    TD->>EP: Evaluation Pipeline
    EP->>EP: Run Safety Rules
    EP->>EP: Run Operational Rules
    EP->>EP: Run Preference Rules

    EP->>RA: Raw Results
    RA->>RA: Aggregate Results
    RA->>RA: Resolve Conflicts
    RA->>RA: Generate Suggestions

    RE->>MON: Record Metrics
    RE->>STORE: Store Validation

    RE-->>MW: ValidationResult
    MW->>MW: Audit Trail
    MW-->>API: JSON Response
    API-->>Client: 200 OK

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---

Quick Start

Python

from src.core.rule_engine import RuleEngine
from src.models.rule import RuleEvaluationRequest

engine = RuleEngine()

request = RuleEvaluationRequest(
    content="Sample AI-generated content to validate",
    tier="safety",
    context={"domain": "general", "user_role": "end_user"},
    options={"strict_mode": True}
)

result = engine.evaluate(request)

print(f"Valid: {result.valid}")
print(f"Score: {result.score}")
for v in result.violations:
    print(f"  - {v.type}: {v.message}")

Python SDK

from sdk.python import Client

client = Client(api_key="your-key", base_url="http://localhost:8000")

# Single validation
result = client.validate("Check this content", tier="safety")

# Batch validation
results = client.validate_batch([
    "Content one",
    "Content two",
    "Content three",
])

# Get system metrics
metrics = client.get_metrics()

TypeScript SDK

import { Client } from './sdk/typescript';

const client = new Client({ apiKey: 'your-key', baseUrl: 'http://localhost:8000' });

// Single validation
const result = await client.validate('Check this content', { tier: 'safety' });

// Batch validation
const results = await client.validateBatch(['Content one', 'Content two']);

// Get metrics
const metrics = await client.getMetrics();

CLI

# Validate content
python -m src.cli validate "Content to check" --tier safety

# List active rules
python -m src.cli rules list --tier operational

# Check compliance
python -m src.cli compliance check --regulations gdpr,hipaa

# Monitor system
python -m src.cli monitor metrics --interval 5

API

# Health check
curl http://localhost:8000/health

# Validate content
curl -X POST http://localhost:8000/api/v1/validate \
  -H "Content-Type: application/json" \
  -d '{"content": "Test content", "tier": "safety"}'

# Get rules
curl http://localhost:8000/api/v1/rules?tier=operational

# Check compliance
curl -X POST http://localhost:8000/api/v1/compliance/check \
  -H "Content-Type: application/json" \
  -d '{"content": "Data to check", "regulations": ["gdpr", "hipaa"]}'

# Get metrics
curl http://localhost:8000/api/v1/metrics

---

SDKs

Python SDK (sdk/python/)

File	Lines	Description
client.py	928	Main SDK client — CRUD, validate, evaluate, metrics, alerts
models.py	944	All data models with serialization
rule_client.py	721	Rule evaluation client with caching and batching
validation_client.py	917	Content validation, compliance, safety, hallucination detection
monitoring_client.py	717	Metrics, alerts, health, Prometheus export
exceptions.py	169	Custom exception types

TypeScript SDK (sdk/typescript/)

File	Lines	Description
client.ts	696	Main SDK client — full API surface
models.ts	1,416	Complete type definitions and interfaces
rule-client.ts	678	Rule evaluation with caching
validation-client.ts	747	Content and compliance validation
monitoring-client.ts	700	Metrics and alerting client

---

Project Structure

Rules-Emerging-Pattern/
├── sdk/                           # SDK implementations
│   ├── python/                    #   Python SDK (4,775 lines)
│   └── typescript/                #   TypeScript SDK (4,385 lines)
├── src/                           # Main source (75+ production files)
│   ├── __init__.py                #   Package exports
│   ├── main.py                    #   FastAPI application (841 lines)
│   ├── advanced/                  #   Age verification, emergency, sandbox
│   ├── api/                       #   REST, WebSocket, GraphQL, auth
│   ├── cli/                       #   CLI, shell, batch processor
│   ├── compliance/                #   GDPR, HIPAA, PCI, SOX
│   ├── core/                      #   Rule engine, dispatcher, pipeline
│   │   └── tiered_rules/          #     Safety/Operational/Preference tiers
│   ├── learning/                  #   Pattern recognition, trends, ML
│   ├── memory/                    #   Cache, context, session state
│   ├── middleware/                 #   Validation, auth, rate-limit, audit
│   ├── models/                    #   Rule, validation, conflict, audit models
│   ├── monitoring/                #   Metrics, alerts, dashboards
│   ├── privacy/                   #   Redaction, anonymization, consent
│   ├── skills/                    #   Skill system, registry, executor
│   ├── storage/                   #   File, cache, backup, migration
│   ├── tools/                     #   Analyzer, debugger, profiler
│   └── utils/                     #   Validators, serializers, config
├── rule_engines/                  # Engine plugins and extensions
├── rule_learning/                 # Adaptive rule learning
├── rule_repositories/             # Predefined and custom rules
├── validation_systems/            # Content filtering, I/O validation
├── config/                        # Configuration files
├── tests/                         # Test suite
├── docs/                          # Documentation
├── Dockerfile                     # Docker build
├── docker-compose.yml             # Docker compose
├── pyproject.toml                 # Python project config
├── requirements.txt               # Python dependencies
└── README.md                      # This file

---

API Reference

Core Endpoints

Method	Endpoint	Description
GET	/health	System health check
POST	/api/v1/validate	Validate content
POST	/api/v1/tiered/evaluate	Tiered evaluation
GET	/api/v1/rules	List rules
GET	/api/v1/metrics	Get system metrics

Monitoring Endpoints

Method	Endpoint	Description
GET	/api/v1/alerts	List alerts
POST	/api/v1/alerts	Trigger alert
PUT	/api/v1/alerts/{id}/resolve	Resolve alert
GET	/api/v1/dashboard	Dashboard data

Compliance Endpoints

Method	Endpoint	Description
POST	/api/v1/compliance/check	Full compliance check
POST	/api/v1/compliance/gdpr	GDPR check
POST	/api/v1/compliance/hipaa	HIPAA check
POST	/api/v1/compliance/pci	PCI check
POST	/api/v1/compliance/sox	SOX check

Privacy Endpoints

Method	Endpoint	Description
POST	/api/v1/privacy/redact	Redact sensitive data
POST	/api/v1/privacy/anonymize	Anonymize data
POST	/api/v1/privacy/classify	Classify data sensitivity
POST	/api/v1/privacy/consent/check	Check consent
GET	/api/v1/privacy/audit	Privacy audit log

Learning Endpoints

Method	Endpoint	Description
POST	/api/v1/patterns/analyze	Analyze patterns
POST	/api/v1/trends/analyze	Analyze trends
POST	/api/v1/feedback	Submit feedback
GET	/api/v1/models	List trained models

Advanced Endpoints

Method	Endpoint	Description
POST	/api/v1/advanced/age-verify	Age verification
POST	/api/v1/advanced/emergency	Emergency response
POST	/api/v1/advanced/intent	Intent analysis
POST	/api/v1/advanced/sandbox/execute	Sandbox execution

Skills Endpoints

Method	Endpoint	Description
POST	/api/v1/skills/execute	Execute skill
GET	/api/v1/skills	List skills
POST	/api/v1/skills/validate	Validate skill

Storage Endpoints

Method	Endpoint	Description
GET	/api/v1/storage/rules/{id}	Get stored rule
POST	/api/v1/storage/rules	Store rules
POST	/api/v1/storage/backup	Trigger backup
POST	/api/v1/storage/migrate	Trigger migration

Tools Endpoints

Method	Endpoint	Description
POST	/api/v1/tools/analyze	Analyze rules
POST	/api/v1/tools/visualize	Visualize patterns
POST	/api/v1/tools/profile	Profile performance

---

Installation

Docker

git clone https://github.com/LifeJiggy/Rules-Emerging-Pattern.git
cd Rules-Emerging-Pattern
cp .env.example .env
docker-compose up -d

Local

python -m venv venv
source venv/bin/activate  # Windows: venv\Scripts\activate
pip install -r requirements.txt
python -m uvicorn src.main:app --reload --host 0.0.0.0 --port 8000

---

Documentation

Each module has dedicated Mermaid documentation in its subfolder:

Module	Documentation
Core Engine	src/core/README.md
Models	src/models/README.md
Monitoring	src/monitoring/README.md
Learning	src/learning/README.md
Memory	src/memory/README.md
API	src/api/README.md
CLI	src/cli/README.md
Compliance	src/compliance/README.md
Privacy	src/privacy/README.md
Middleware	src/middleware/README.md
Skills	src/skills/README.md
Storage	src/storage/README.md
Tools	src/tools/README.md
Utilities	src/utils/README.md
Advanced	src/advanced/README.md
Python SDK	sdk/python/README.md
TypeScript SDK	sdk/typescript/README.md

---

License

MIT License — see LICENSE for details.