Engineered in Bengaluru for Claude 3.5 Sonnet & Haiku Clusters

The agent runtime that
actually finishes the job.

WrapTheory replaces brittle prompt chains with stateful, deterministic AST graph execution. Zero hallucinations, dual Claude 3.5 dispatch, and mathematical unit test verification.

✓ Zero-Retention Architecture • ✓ Isolated V8 AST Compilers • ✓ Sub-140ms Haiku Gateway

Interactive Workspace

Visual Orchestration Graph

Click any stage below to inspect model tokens, routing telemetry, and real-time execution outputs.

wraptheory // graph-pipeline-prod.v1

Status: Idle Execution Latency: 142ms

01

Repository Ingestion & AST Parse

Context extraction from TypeScript / Python AST

Local Sandbox

02

Syntax Tree Filtering & Vulnerability Flag

Claude 3.5 Haiku • 118ms token stream

Haiku Routing

03

Deep Contextual Remediation & Patch Gen

Claude 3.5 Sonnet • 200k Context Horizon

Sonnet Caching

04

AST Verification & Unit Harness Execution

Zero-hallucination compiler compliance check

Deterministic PASS

Node Inspector Node 01 // Active

Assigned Model / Subsystem

AST Compiler Core (V8 Isolation)

Prompt Token Consumption

34,120 Tokens (In-memory cached)

Input Payload / Target

github.com/wraptheory/sample-service:src/auth/session.ts

Runtime Verification Proof

{
  "status": "valid",
  "isolated_cycles": 0,
  "memory_footprint": "2.4mb"
}

Telemetry sync: Live

Live Efficiency Calculator

Model Arbitrage & Token Savings

Simulate your team's monthly code volume to see the cost reduction of WrapTheory's dual-tier dispatch versus single-shot model calls.

Monthly Monorepo Commits 2,500 commits

Un-Optimized Sonnet Cost

$1,875 / mo

WrapTheory Runtime

$412 / mo

Effective Savings

78.0%

99.8%

Deterministic Syntax Validity

118ms

Haiku Pre-Filter TTFT

200K

Context Horizon Window

0.00%

Customer Code Retained

Real-Time In-Browser Testbench

Interactive AST Agent Sandbox

Select a real vulnerability scenario below to run the live Claude 3.5 Haiku + Sonnet dual compiler audit.

src/auth/sessionVerify.ts Input Source

Compiler & Claude 3.5 Synthesis Engine Ready

// Ready. Click "Execute Claude AST Audit" to trigger pipeline.

// 1. Haiku AST pre-filter → 2. Sonnet patch generation → 3. V8 sandbox unit test pass.

Deterministic Patch Output (Passed 100% Unit Asserts):

Model: Dual Haiku + Sonnet Zero-Retention RAM: Active

Founder & Engineering Headquarters

Built in Bengaluru by Joz

WrapTheory is an independent engineering lab dedicated to eliminating stochastic failures in production LLM agent loops.

Joz

Founder & Chief Systems Architect

● Live in Indiranagar, Bengaluru

"Most teams building autonomous software agents hit a wall: LLMs output syntactically creative but functionally broken patches. You run a prompt loop three times, and you get three entirely different outcomes."

"I founded WrapTheory in Bengaluru to solve this using deterministic AST compiler gates. We don't ask Claude to 'hope' the code compiles. We pass parsed Abstract Syntax Trees, use Claude 3.5 Haiku as a strict classification sieve, route deep refactoring to Claude 3.5 Sonnet, and enforce local unit test assertions before returning a single line of code."

joz@wraptheory.in • GitHub: @wraptheory •

The Bengaluru Lab

Based out of 100 Feet Road, Indiranagar, Bengaluru, Karnataka 560038. Our testbed operates round-the-clock testing agent resilience against monorepos from high-scale engineering organizations across India and globally.

Architectural Principles

Zero Retention: Customer code never touches disks or training pipelines.
Frugal Token Routing: Never send 200k tokens to Sonnet when Haiku solves it in 118ms.
Mathematical Invariants: Only verified compiler diffs are merged.

Developer Reference

WrapTheory Runtime SDK & API

Integrate deterministic Claude agent execution into your CI/CD pipelines in less than 5 minutes.

1. Package Installation

npm install @wraptheory/runtime @anthropic-ai/sdk

2. TypeScript Quickstart: Dual Claude Routing

import { WrapTheoryCluster } from '@wraptheory/runtime';

// Initialize with your WrapTheory and Anthropic keys
const runtime = new WrapTheoryCluster({
  apiKey: process.env.WRAPTHEORY_API_KEY,
  models: {
    classifier: 'claude-3-5-haiku-20241022',
    synthesizer: 'claude-3-5-sonnet-20241022'
  },
  verification: {
    strictAst: true,
    isolatedV8Harness: true,
    timeoutMs: 8000
  }
});

// Execute deterministic audit over monorepo AST
const patch = await runtime.execute({
  target: 'src/billing/subscription.ts',
  testSuite: 'test/billing/subscription.spec.ts',
  optimizationLevel: 'frugal' // Enforces Haiku pre-filtering
});

console.log(`Patch status: ${patch.status}`); // 'VERIFIED_PASS'
console.log(`Cache savings: ${patch.telemetry.cacheHitRate}%`);

3. Direct REST Endpoints

Method	Endpoint	Description	Latency Target
POST	`https://api.wraptheory.in/v1/ast/parse`	Extracts syntax nodes with ephemeral memory footprint	< 40ms
POST	`https://api.wraptheory.in/v1/agent/synthesize`	Dual Claude 3.5 dispatch with AST unit test harness	< 350ms
GET	`https://api.wraptheory.in/v1/telemetry/audit`	Retrieves deterministic cryptographic trace proof	< 15ms

Transparent Pricing

Pay for deterministic results.

Start free during our private developer preview. Transparent token arbitrage billing when you scale.

Developer Preview

$0 / free preview

For individual engineers evaluating Claude AST verification.

✓ 500 Verified AST Syntheses / mo
✓ Dual Claude 3.5 Haiku + Sonnet
✓ Local Node.js/Python V8 harness
✓ Community Discord support

Recommended

Startup Team

$49 / engineer / mo

For growing product teams running automated PR verification loops.

✓ Unlimited AST Ingestion
✓ Automatic Prompt Cache Optimizer
✓ Sub-120ms Haiku Gateway SLA
✓ GitHub Actions & GitLab integration

Dedicated & Enterprise

Custom / annual SLA

For engineering monorepos requiring dedicated on-prem or VPC isolation.

✓ VPC or Air-Gapped deployment
✓ Zero-data retention legal guarantee
✓ Direct Slack channel with Joz
✓ Custom AST compiler rulesets

Compliance & Trust

Zero-Retention Security Architecture

How WrapTheory handles proprietary monorepos without ever writing code to disk.

1. Ephemeral V8 Micro-Sandboxes

Every repository parsed by WrapTheory is decomposed into an in-memory Abstract Syntax Tree inside an isolated, stateless V8 container. Once unit verification completes and the cryptographic proof hash is generated, the memory frame is scrubbed. No source code touches persistent storage or external logging buckets.

2. Anthropic Zero-Training Model Terms

All Claude 3.5 Sonnet and Haiku API transactions are executed under strict commercial enterprise agreements with Anthropic. Customer prompt tokens and synthesized code diffs are never used to train foundation models.

3. Deterministic AST Proof Hashes

Rather than relying on qualitative LLM confidence scores, every WrapTheory pass produces an immutable SHA-256 cryptographic verification record detailing which unit tests were run, memory consumption, and AST invariance.

Engineering Updates

Changelog & Releases

Continuous deployments from the Bengaluru engineering laboratory.

v1.2.0 — Dual Claude 3.5 Dispatch & Live Sandbox Production Release

Added interactive in-browser AST sandbox with instant JWT, race condition, and SQL remediation.
Sub-120ms Claude 3.5 Haiku classification sieve with automatic fallback router.
Support for 200k token context caching reduces Sonnet prompt cost by up to 82%.

v1.1.4 — V8 Isolated Unit Test Harness Engine Update

Zero-retention micro-sandbox for running Jest and PyTest assertion passes before patch approval.
Real-time telemetry trace streaming for CI/CD webhook pipelines.

v1.0.0 — Genesis Architecture Initial Genesis

Initial AST parser engine for TypeScript and Python.
First deterministic prompt caching proof deployed out of Bengaluru lab.

The agent runtime that
actually finishes the job.

Visual Orchestration Graph

Repository Ingestion & AST Parse

Syntax Tree Filtering & Vulnerability Flag

Deep Contextual Remediation & Patch Gen

AST Verification & Unit Harness Execution

Model Arbitrage & Token Savings

Interactive AST Agent Sandbox

Built in Bengaluru by Joz

Joz

The Bengaluru Lab

Architectural Principles

WrapTheory Runtime SDK & API

Pay for deterministic results.

Zero-Retention Security Architecture

1. Ephemeral V8 Micro-Sandboxes

2. Anthropic Zero-Training Model Terms

3. Deterministic AST Proof Hashes

Changelog & Releases

Request Developer Key

Book Architecture Review with Joz

Privacy & Data Protection

Terms of Runtime Use

The agent runtime that actually finishes the job.

Visual Orchestration Graph

Repository Ingestion & AST Parse

Syntax Tree Filtering & Vulnerability Flag

Deep Contextual Remediation & Patch Gen

AST Verification & Unit Harness Execution

Model Arbitrage & Token Savings

Interactive AST Agent Sandbox

Built in Bengaluru by Joz

Joz

The Bengaluru Lab

Architectural Principles

WrapTheory Runtime SDK & API

Pay for deterministic results.

Zero-Retention Security Architecture

1. Ephemeral V8 Micro-Sandboxes

2. Anthropic Zero-Training Model Terms

3. Deterministic AST Proof Hashes

Changelog & Releases

Request Developer Key

Book Architecture Review with Joz

Privacy & Data Protection

Terms of Runtime Use

The agent runtime that
actually finishes the job.