# LangGraph Enterprise SDK

> **An enterprise-grade Agent Platform SDK inspired by LangGraph, built with TOON & ZAD principles, designed for governance, security, scalability, and multi-agent systems.**

---

## 🚀 Overview

LangGraph Enterprise SDK is a **production-ready Agent Platform SDK** that provides a **governed, secure, and extensible foundation** for building **single-agent and multi-agent systems** in enterprise and regulated environments.

This SDK does **not replace LangGraph**.  
Instead, it **hardens and operationalizes agent execution**, adding the layers required for **real-world production use**.

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## 🎯 Why This SDK Exists

Most agent frameworks are optimized for:
- Prototyping
- Demos
- Experiments

They are **not sufficient** for:
- Governance & compliance
- Multi-tenant isolation
- Long-running agents
- Human-in-the-loop workflows
- Deterministic replay & audit
- Security boundaries
- Enterprise DevOps & SRE operations

This SDK fills that gap.

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## 🧠 Core Design Principles

### 1️⃣ TOON – Tool-Oriented Orchestration Nodes
- Nodes **only orchestrate**
- Tools perform **side effects**
- LLMs perform **reasoning**
- Clear separation of responsibilities

### 2️⃣ ZAD – Zero-Action Design
- No implicit state mutation
- No hidden side effects
- Deterministic execution
- Replayable workflows

### 3️⃣ Enterprise-First Architecture
- Security & governance are **first-class**
- Observability is **built-in**
- Persistence & recovery are **mandatory**
- Protocols (A2A, MCP) are **standards-based**

---

## 🧩 High-Level Architecture

```
Client / UI
     |
Server (Control Plane)
(Auth, Tenancy, Lifecycle)
     |
Execution Runtime
(GraphExecutor, Scheduler)
     |
Workflows
(Planner, Supervisor)
     |
Nodes (TOON)
     |
LLMs (Reasoning) ---- Tools (Side Effects)
```

---

## 📦 Key Capabilities

### ✅ Agent Execution
- Deterministic graph execution
- Retry & cancellation support
- Lifecycle hooks
- Streaming events

### ✅ Multi-Agent Workflows
- Planner / Supervisor model
- Explicit delegation
- A2A-ready design

### ✅ Governance
- Approval workflows
- Audit logging
- Compliance policies
- Quotas & rate limits

### ✅ Security
- Authentication & Authorization
- RBAC
- Tenant & execution isolation
- Secrets abstraction

### ✅ Persistence & Durability
- Checkpointing
- Snapshots (time-travel)
- Crash recovery
- Replay & resume

### ✅ Memory & RAG
- Postgres / Redis memory
- pgvector / OpenSearch vector stores
- Embedding abstraction

### ✅ Knowledge Graph
- Neo4j integration
- SOP / Runbook reasoning
- Dependency & impact analysis

### ✅ LLM Abstraction
- OpenAI
- Azure OpenAI
- Anthropic
- Ollama
- LLaMA-cpp
- Groq
- Custom / on-prem models

### ✅ MCP (Model Context Protocol)
- Tool invocation via protocol
- HTTP / stdio / WebSocket
- Secure metadata propagation

### ✅ Observability
- Structured logging
- Metrics (Prometheus)
- Tracing (OpenTelemetry)
- Dashboard registry

---

## 📁 Project Structure

```
src/
├── api/
├── execution/
├── workflows/
├── tools/
├── llm/
├── memory/
├── graph_store/
├── mcp/
├── a2a/
├── governance/
├── security/
├── persistence/
├── streaming/
├── observability/
├── server/
├── utils/
└── connectors/
```

---

## ⚙️ Installation

### Core SDK
```bash
pip install langgraph-enterprise-sdk
```

### Full Enterprise Install
```bash
pip install "langgraph-enterprise-sdk[enterprise]"
```

### LLM Providers
```bash
pip install "langgraph-enterprise-sdk[all-llms]"
```

---

## 🧪 Testing

Enterprise-grade test strategy:

```
tests/
├── unit/
├── integration/
├── security/
├── durability/
└── load/
```

Run all tests:
```bash
pytest
```

---

## 🔐 Security Model

- Zero-trust by default
- AuthN → AuthZ → Policy → Isolation → Execution
- Tools are sandboxed
- No implicit privilege escalation
- Multi-tenant safe

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## 🔄 Relation to LangGraph

| LangGraph | This SDK |
|----------|----------|
| Graph execution | Deterministic runtime |
| Nodes | TOON-compliant nodes |
| State | Immutable ZAD state |
| Memory | Enterprise memory + RAG |
| Tools | Sandboxed & governed |
| Agents | Multi-agent workflows |
| Server | Control plane |
| Governance | Built-in |

LangGraph can be used **inside** this SDK but is **not exposed directly** to application teams.

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## 🏢 Who Should Use This?

✔ Platform Engineering Teams  
✔ Enterprise AI / GenAI Teams  
✔ Regulated Industries (Banking, Healthcare, Telecom)  
✔ DevSecOps & SRE Teams  
✔ Organizations building **agent platforms**, not just agents  

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## 🤝 Contributing

See `CONTRIBUTING.md`

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## 📜 License

Apache 2.0 — see `LICENSE`

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## 🏁 Final Note

This repository is **not a demo**.  
It is a **platform-grade foundation** for building **safe, scalable, enterprise AI agents**.
