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🚧 AI-Native Engineering Resource Planning System (ERPS)

Public SDK, Architecture Contracts & Integration Layer

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⚠️ PROJECT STATUS: PRE-ALPHA / ACTIVE DEVELOPMENT
This platform is under heavy construction. The architecture is stable, but APIs, data models, and infrastructure integrations are subject to breaking changes.
Not production-ready.

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🧠 What is ERPS?

ERPS (Engineering Resource Planning System) is an AI-native engineering control plane designed to orchestrate, govern, and optimize complex engineering workflows using:

• Multi-agent AI execution
• Deterministic governance & policy enforcement
• Distributed workflow orchestration
• High-fidelity telemetry & observability
• Secure identity propagation

Unlike traditional business ERP systems, ERPS acts as an intelligent operating system for engineering processes, enabling:

• Safe AI automation
• Enterprise-grade policy enforcement
• Distributed workflow control
• Autonomous engineering pipelines

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🎯 Purpose of erps-platform-sdk

This repository contains the public interface contracts, SDKs, architecture definitions, and integration patterns for the ERPS platform.

It does NOT contain private core engines, orchestration runtimes, or governance logic.

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🏗️ System Architecture

ERPS is designed as a distributed, modular, policy-driven execution platform.

Architecture level Overview

 
 ┌──────────────────────┐
            │      Clients         │
            │ (API / SDK / UI)     │
            └─────────┬────────────┘
                      │
                      ▼
            ┌──────────────────────┐
            │     API Gateway      │
            │ (Ingress + Routing)  │
            └─────────┬────────────┘
                      │
                      ▼
            ┌──────────────────────┐
            │   Access Control     │
            │  (AuthN / RBAC /     │
            │   Identity)          │
            └─────────┬────────────┘
                      │
                      ▼
            ┌──────────────────────┐
            │   Step Management    │
            │ (Workflow Engine)    │
            └─────────┬────────────┘
                      │
                      ▼
    ┌─────────────────────────────────────┐
    │         Rules Engine                │
    │ (Deterministic Governance Layer)   │
    └─────────┬──────────────┬────────────┘
              │              │
              ▼              ▼
 ┌───────────────────┐   ┌────────────────────┐
 │ Knowledge Engine  │   │ AI Orchestration   │
 │  (RAG + Memory)   │   │ (Multi-LLM Router) │
 └─────────┬─────────┘   └─────────┬──────────┘
           │                       │
           ▼                       ▼
    ┌─────────────────────────────────────┐
    │     Reporting & Analytics Engine    │
    │ (Telemetry, Cost, Quality, Metrics)│
    └───────────────┬─────────────────────┘
                    ▼
            ┌──────────────────────┐
            │     Data Layer       │
            │ (DB / Cache / Store) │
            └──────────────────────┘

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🔄 Request Lifecycle

1. Ingress: API Gateway receives request
2. Validation: Access Control verifies identity and permissions
3. State Tracking: Step Manager creates workflow & tracks state
4. Governance (Pre): Rules Engine enforces enterprise policies
5. Contextualization: Knowledge Engine retrieves context & embeddings
6. Execution: AI Orchestrator routes tasks to optimal LLM(s)
7. Governance (Post): Output validation & enforcement
8. Auto-Correction: AI-assisted remediation
9. Telemetry: Analytics engine captures metrics & learning signals

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🧠 Core Architectural Principles

• Domain-Driven Design (DDD): Strict separation of domain boundaries
• Deterministic Governance: AI outputs must satisfy enterprise policies
• Zero Silent Failures: All failures traced, categorized, and handled
• Streaming-Safe Analytics: Deterministic telemetry & replay-safe design
• Multi-Model Arbitration: Intelligent routing across multiple LLM providers

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🗺️ Development Roadmap & Current Status

We are building this platform module by module, enforcing strict isolation and deterministic behavior.

🧠 Core Execution

Module	Description	Status
ai_orchestration/	Multi-LLM routing, async execution, provider arbitration	✅ Completed
step_management/	Distributed workflow engine, DDD aggregates, lifecycle FSM	✅ Completed

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🛡️ Governance & Security

Module	Description	Status
rules_engine/	Deterministic policy evaluation, enforcement, audit trails	✅ Completed
access_control/	AuthN, RBAC/ABAC, identity propagation	🏗️ Planned

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📊 Intelligence & Data

Module	Description	Status
knowledge_engine/	RAG, embeddings, auto-correction, trust modeling	✅ Completed
reporting_analytics/	Telemetry, cost/latency metrics, anomaly detection	✅ Completed
data_layer/	Unified persistence interface, adapters	✅ Completed

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🚪 Infrastructure

Module	Description	Status
main.py	Central bootstrap & DI wiring	✅ Completed
api_gateway/	Async ingress & routing	🏗️ Planned
utils/	Shared helpers	⏳ In Progress

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🖥️ User Interface

Module	Description	Status
ui_ux/	Dashboards, approval workflows, visualization	🏗️ Planned

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📁 Public Repository Structure

 erps-platform-sdk/ ├── interfaces/       
 Public interface contracts ├── sdk/             
 Client SDKs (Python, JS, Go) ├── examples/         
 Workflow & integration demos ├── architecture/    
 Design docs & diagrams ├── docs/             
 Getting started, config, roadmap ├── LICENSE.md 
 └── README.md

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🔐 Open-Core Architecture

This project follows a controlled open-core strategy.

Public:

• Architecture
• Interfaces
• SDKs
• Examples
• Documentation

Private:

• Core orchestration engines
• Workflow runtime
• Governance execution logic
• Identity engine
• Infrastructure integrations

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📜 License

This project is released under a Source-Available License.

Free for:

• Personal use
• Educational use
• Research & experimentation
• Non-commercial evaluation

Commercial usage requires a paid license:

• SaaS platforms
• Enterprise internal production
• Hosted AI services
• Redistribution

See LICENSE.md.

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🚀 Target Users

• Platform engineers
• AI infrastructure developers
• Workflow automation architects
• Distributed systems engineers
• Enterprise AI integrators

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🧪 Development Disclaimer

This platform is:

• Pre-alpha
• Under heavy development
• Architecture-stable
• API-unstable

Expect breaking changes.

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🙏 A Note from the Author

This is my first open-source engineering platform.
I tried to build something ambitious and robust.
I promise to keep improving it continuously.

                                          Thank you for visiting

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