Here is the complete Node.js implementation for the STATE_MANAGER,
CONTEXT_HYDRATOR, and the updated LLM_ORCHESTRATOR.
This code acts as the ultimate state machine. It uses your file system as the
database, meaning if you cancel the process, edit a file manually, or lose
your internet connection, the system resumes perfectly without wasting a
single API token.
The Caching & Orchestration Engine
You can append this directly to your compiler.js file:
const fs = require('fs'); const path = require('path'); / =====================
===================== / 5. STATE MANAGER (File-System Caching) /
========================================== const BUILD_DIR = path.join(__dirnam
e, 'build'); const STATE_MANAGER = { init: () => { if (!fs.existsSync(BUILD_DIR
)) { fs.mkdirSync(BUILD_DIR, { recursive: true }); console.log(`[STATE]
Created build directory at `); } }, getFilePath: (nodeId) => path.join(BUILD_DI
R, `.js`), artifactExists: (nodeId) => fs.existsSync(STATE_MANAGER.getFilePath(
nodeId)), readArtifact: (nodeId) => { if (STATE_MANAGER.artifactExists(nodeId))
{ return fs.readFileSync(STATE_MANAGER.getFilePath(nodeId), 'utf-8'); } throw
new Error(`Artifact for not found.`); }, writeArtifact: (nodeId, code) => {
fs.writeFileSync(STATE_MANAGER.getFilePath(nodeId), code, 'utf-8');
console.log(`[STATE] Saved artifact: .js`); } }; / ============================
============== / 6. CONTEXT HYDRATOR / ========================================
== function hydrateContext(targetNode, nodesMap) { let prompt = `You are an
expert software engineer.nn`; prompt += `Write the Node.js code for the
following module:n`; prompt += `MODULE ID: n`; prompt += `DESCRIPTION: nn`; if
(targetNode.depends_on && targetNode.depends_on.length > 0) { prompt += `---
DEPENDENCIES ---n`; prompt += `This module depends on the following
components. You must strictly interface with their provided code:nn`; for
(const depId of targetNode.depends_on) { const depNode = nodesMap.get(depId);
const depCode = STATE_MANAGER.readArtifact(depId); / Fetch actual generated
code prompt += `>> DEPENDENCY: n`; prompt += `> Spec: n`; prompt += `> Code
Implementation:n```javascriptnn```nn`; } } prompt += `Output ONLY valid
JavaScript code for . Do not include markdown formatting or explanations.`;
return prompt; } / ========================================== / 7. AI PROVIDER
FACTORY / ========================================== async function
dispatchToAI(node, hydratedPrompt) { const provider = node.provider ||
'local'; / De
fault to offline LLM console.log(`[API] Routing payload for to provider:
[]`); switch (provider) { case 'local': / E.g., fetch to http:/localhost:11434/
api/generate (Ollama) / Mocking the delay and response for this script: await
new Promise(r => setTimeout(r, 1000)); return `/ Local LLM generated code for
nmodule.exports = {};`; case 'online_llm': / E.g., fetch to OpenAI or
Anthropic using process.env.API_KEY await new Promise(r => setTimeout(r,
1500)); return `/ High-Tier Online LLM generated code for nmodule.exports =
{};`; default: throw new Error(`Unknown provider: `); } } / ===================
======================= / 8. LLM ORCHESTRATOR (The Build Engine) /
========================================== async function runOrchestrator(build
Order, nodesMap) { console.log("n========================================");
console.log(" STARTING COMPILATION PIPELINE "); console.log("=================
=======================n"); STATE_MANAGER.init(); for (let i = 0; i <
buildOrder.length; i++) { const node = buildOrder[i]; console.log(`=>
Processing [/]: `); / 1. Check Idempotency (Does the code already exist?) if
(STATE_MANAGER.artifactExists(node.id)) { console.log(` [SKIP] Artifact .js
already exists on disk. Using cached version.`); continue; } / 2. Hydrate
Context & Generate console.log(` [BUILD] Compiling dependencies and generating
prompt...`); const hydratedPrompt = hydrateContext(node, nodesMap); try {
const generatedCode = await dispatchToAI(node, hydratedPrompt);
STATE_MANAGER.writeArtifact(node.id, generatedCode); } catch (err) {
console.error(` [FATAL] Pipeline failed at : `); process.exit(1); } / 3.
Human-in-the-loop Checkpoint / Uses string 'true' to handle how regex parsed
the AST-MD if (node.checkpoint === 'true' || node.checkpoint === true) {
console.log(`n [ CHECKPOINT REACHED] Node '' requires human verification.`);
console.log(` Action required: Review or edit ./build/.js`); console.log(` To
resume the pipeline, simply run this script again.n`); process.exit(0); /
Gracefully kill the pro
cess } } console.log("n========================================");
console.log(" PIPELINE COMPLETE. ALL NODES BUILT "); console.log("============
============================"); }
Why this architecture is so powerful:
The "Resume" Superpower: Try running it, letting it build two files, and then
simulating a crash (or hitting a checkpoint: true node). When you run it a
second time, the script will output [SKIP] Artifact already exists for the
first two files, load them into memory, and immediately begin working on the
third.
Context Injection is Automatic: Look at the hydrateContext function. Because
TOPOLOGICAL_SORTER mathematically proved the build order, hydrateContext knows
with 100% certainty that STATE_MANAGER.readArtifact(depId) will succeed. The
LLM writing the ROUTE_RESOLVER will actually get to read the exact JavaScript
syntax of the STATE_DICTIONARY it is supposed to connect to.
The Ultimate Review Gate: By exiting the Node process entirely on a
checkpoint, you aren't trapped in a frozen terminal. You can open VS Code, run
unit tests on the generated artifact, write some manual fixes, and then type
node compiler.js again. The system accepts your human edits as the absolute
truth and feeds your version into the context window for the next nodes.