Update tech_docs/networking/network_iac_framework.md
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Here’s the **focused documentation** for θ-Meta, crystallizing its core value proposition as a **market-making protocol for verifiable compute** while deliberately avoiding Turing-completeness in the spec layer:
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---
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# **θ-Meta Protocol Specification**
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**Version 1.0**
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*A minimal canonical format for priced, bounded, and verifiable computation.*
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## **1. Core Principles**
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### **1.1 Theta’s Iron Triangle**
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```mermaid
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graph TD
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A[Verifiability] --> B[Predictable Cost]
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B --> C[Deterministic Bounds]
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C --> A
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```
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- **No Turing-completeness**: Bounds (`b:`) are pure CEL (no loops/recursion).
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- **No ambiguity**: Every task has 1:1:1 correspondence between `f`, `b`, and `v`.
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- **No runtime dependency**: The spec defines *what*, not *how*.
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### **1.2 Why Not Turing-Complete?**
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| | Turing-Complete Spec | θ-Meta’s Approach |
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|-----------------------|-----------------------|----------------------------|
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| **Proof Generation** | Unbounded time | O(1) (always terminates) |
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| **Pricing** | Unpredictable | Bound → fixed cost |
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| **Composability** | Deadlocks possible | DAG workflows only |
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## **2. Specification**
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### **2.1 Canonical Task Definition (`#Θ`)**
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```cue
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package theta
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#Θ: {
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// What to compute
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f: string | bytes // Computation ID or bytecode
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// How much is allowed (CEL expression)
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b: string // e.g., "k <= 11", "input.size() < 1MB"
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// Proof of correct execution
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v: #Proof
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// Price (unitless, scaled by runtime)
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p: number
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// Phi-encoded payload (optional)
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φ?: string
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}
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#Proof: {
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scheme: "none" | "sha256" | "ed25519" | "groth16"
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bytes?: string // Proof payload
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ok: bool // Validation result
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}
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```
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### **2.2 Execution Guarantees**
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For any task `T` where `T.v.ok == true`, the runtime must ensure:
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1. **Bounds honored**: `T.b` evaluated to `true` during execution.
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2. **Payment sufficient**: `T.p` was escrowed before proof generation.
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3. **Proof valid**: `T.v.bytes` cryptographically matches `T.f` and output.
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## **3. Workflow Examples**
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### **3.1 Fibonacci Task**
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```cue
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#fibExample: #Θ & {
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f: "fib"
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b: "k <= 11" // CEL constraint
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v: {
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scheme: "ed25519",
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bytes: "a1b2...",
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ok: true
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}
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p: 0.001
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φ: "fib|11" // Phi-encoded input
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}
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```
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### **3.2 ML Inference Task**
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```cue
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#mlExample: #Θ & {
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f: "infer"
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b: "model == 'resnet50' && batch_size <= 8"
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v: {
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scheme: "groth16",
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bytes: "x128...",
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ok: true
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}
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p: 0.1
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}
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```
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## **4. Runtime Requirements**
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### **4.1 Mandatory Checks**
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Before executing any task `T`:
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1. **Validate schema**: `cue vet` against `#Θ`.
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2. **Check bounds**: Ensure `T.b` is syntactically valid CEL.
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3. **Verify payment**: Confirm `T.p` is escrowed.
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### **4.2 Proof Schemes**
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| Scheme | Use Case | O(1) Check |
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|-----------|-----------------------|------------|
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| `sha256` | Free tasks (RFC) | ✅ |
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| `ed25519` | Paid tasks (K11) | ✅ |
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| `groth16` | ZK-verified compute | ❌ (SNARK) |
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## **5. Composability Rules**
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### **5.1 Valid Workflow Patterns**
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```mermaid
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graph LR
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A[Task 1] --> B[Task 2]
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B --> C[Task 3]
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```
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- **Acyclic**: No loops in task dependencies.
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- **Bounded**: Each task’s `b:` must be evaluable before execution.
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### **5.2 Invalid Patterns**
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```mermaid
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graph LR
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A[Task 1] --> A // Loops forbidden
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```
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## **6. FAQ**
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### **Q: Why not allow loops in bounds?**
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**A**: To preserve:
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- **Predictable pricing**: `T.p` can be derived from `T.b`.
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- **Instant verification**: Proofs don’t require re-execution.
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### **Q: How to handle complex computations?**
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**A**: Push complexity into `f:` (WASM/ASM), not the spec. Example:
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```cue
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#Θ & {
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f: """
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// Complex logic in WASM
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fn run() { ... }
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"""
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b: "input.len() < 1KB" // Simple bound
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}
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```
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## **7. Compliance Tests**
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Run to validate your implementation:
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```bash
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cue vet theta.cue -c '#testSuite'
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```
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---
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# **Appendix: Design Alternatives Considered**
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### **A1. Turing-Complete Bounds**
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- **Rejected**: Breaks 1:1:1 task→proof→price model.
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### **A2. Dynamic Pricing**
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- **Rejected**: `p` must be calculable from `b` alone.
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### **A3. Recursive Proofs**
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- **Pending**: May be added in v2 if SNARK recursion improves.
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---
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This document intentionally **excludes**:
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- Runtime implementation details.
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- Payment layer specifics.
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- Hardware requirements.
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The θ-Meta spec is **only** about defining tasks in a way that creates a **verifiable compute market**. Turing-completeness lives *above* this layer, not within it.
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Want to **formalize the state machine** or **add a test suite** next?
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---
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Here’s the distilled meta-framework for designing a configuration management system that balances pragmatism with pride-of-ownership:
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Here’s the distilled meta-framework for designing a configuration management system that balances pragmatism with pride-of-ownership:
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### **The Pillars of Sustainable Network Configuration Design**
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### **The Pillars of Sustainable Network Configuration Design**
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