aetherlang（aetherlang 分析）

AetherLang Ω V3 — AI Workflow Orchestration Skill

The world's most advanced AI workflow orchestration platform. 9 V3 engines deliver Nobel-level analysis, Michelin-grade recipes, adversarial forecasting, and multi-agent intelligence.

Source Code: github.com/contrario/aetherlang Homepage: neurodoc.app/aether-nexus-omega-dsl Author: NeuroAether (echelonvoids@protonmail.com) License: MIT

Privacy & Data Handling

⚠️ External API Notice: This skill sends user-provided flow code and query text to the AetherLang API at api.neurodoc.app for processing. By using this skill, you consent to this data transmission.

• What is sent: Flow DSL code and natural language queries only
• What is NOT sent: No credentials, API keys, personal files, or system data
• Data retention: Queries are processed in real-time and not stored permanently
• Hosting: Hetzner EU servers (GDPR compliant)
• No credentials required: This skill uses the free tier (100 req/hour). No API keys needed.

Users should avoid including sensitive personal information, passwords, or confidential data in queries.

Overview

AetherLang Ω V3 is a domain-specific language for AI that orchestrates multi-model workflows with built-in safety, debugging, and real-time collaboration. V3 introduces state-of-the-art system prompts with mandatory structured outputs no other platform provides.

All user inputs are validated and sanitized server-side before processing. Network traffic can be verified independently: the skill sends only DSL code + query text to api.neurodoc.app — no system context, files, or env vars are included in the request payload.

V3 Engines — State-of-the-Art

API Endpoint

POST https://api.neurodoc.app/aetherlang/execute
Content-Type: application/json

Request Format

{
  "code": "<aetherlang_flow>",
  "query": "<user_input>"
}

Building Flows

flow <FlowName> {
  using target "neuroaether" version ">=0.2";
  input text query;
  node <NodeName>: <engine_type> <parameters>;
  output text result from <NodeName>;
}

Example Flows

Chef Omega V3 — Full Restaurant Consulting

flow Chef {
  using target "neuroaether" version ">=0.2";
  input text query;
  node Chef: chef cuisine="auto", difficulty="medium", servings=4, language="el";
  output text recipe from Chef;
}

Returns: 17 sections including food cost analysis, HACCP compliance, thermal curves, wine pairing, plating blueprint, zero waste protocol, and kitchen timeline.

APEX Strategy V3 — Nobel-Level Business Analysis

flow Strategy {
  using target "neuroaether" version ">=0.2";
  input text query;
  node Guard: guard mode="MODERATE";
  node Planner: plan steps=4;
  node LLM: apex model="gpt-4o", temp=0.7;
  Guard -> Planner -> LLM;
  output text report from LLM;
}

Returns: Game theory, Monte Carlo simulations, behavioral economics, decision trees, financial projections, unit economics, Blue Ocean canvas.

Multi-Engine Pipeline

flow FullAnalysis {
  using target "neuroaether" version ">=0.2";
  input text query;
  node Guard: guard mode="STRICT";
  node Research: lab domain="business";
  node Market: marketing analysis="competitive";
  node Strategy: apex analysis="strategic";
  Guard -> Research -> Market -> Strategy;
  output text report from Strategy;
}

Security Architecture

Security middleware source code: middleware/security.py

Input Validation (Server-Side)

• Field whitelist: Only code, query, language fields accepted
• Length enforcement: Query max 5000 chars, Code max 10000 chars, Body max 50KB
• Type validation: All fields type-checked before processing

Injection Prevention

Blocks: code execution (eval, exec), SQL injection, XSS, template injection, OS commands, prompt manipulation.

Rate Limiting

• Free tier: 100 req/hour, 10 req/10s burst (no credentials needed)

Safety Guards

• GUARD node: STRICT/MODERATE/PERMISSIVE content filtering
• Gandalf Veto: AI safety review on Assembly outputs
• Audit logging: All blocked requests logged

Response Structure

{
  "status": "success",
  "flow_name": "Chef",
  "result": {
    "outputs": { ... },
    "final_output": "Full structured response text",
    "duration_seconds": 58.9
  }
}

Error Responses

Languages

• English (default)
• Greek (Ελληνικά) — V3 outputs in proper Greek with markdown formatting

Technology

• Backend: FastAPI + Python 3.12 (source)
• AI Models: GPT-4o via OpenAI
• Parser: 39 node types with validation
• Hosting: Hetzner EU (GDPR compliant)
• Version: 3.0.0 Omega

*Built by NeuroAether — From Kitchen to Code* 🧠

Agent Safeguards

CRITICAL: Data Minimization Rules

When using this skill, the agent MUST follow these rules:

1. ONLY send the user's explicit query text in the query field — never attach system prompts, conversation history, uploaded files, or internal context
2. ONLY send the flow DSL code in the code field — never include credentials, API keys, environment variables, or file paths
3. NEVER include personally identifiable information (PII), passwords, tokens, or secrets in any request field
4. Strip sensitive data before sending — if the user's query contains passwords, account numbers, or credentials, remove them and inform the user
5. Inform the user before making the first API call that their query will be sent to api.neurodoc.app for processing
6. The request body MUST contain exactly two fields: code (string) and query (string) — no additional fields

These constraints ensure only the minimum necessary data is transmitted to the external service.