Enterprise AI Infrastructure

Full enterprise AI stack with agents, tool servers, safety guardrails, evaluation, prompt management, observability, and Kubernetes deployment.

Name	enterprise-ai
Version	0.1.0
Tags	enterprise, ai, kubernetes, agents, guardrails
Source	composites/enterprise-ai.yaml

Render it

# CLI
npx @nanohype/sdk render-composite enterprise-ai --out ./my-app

# SDK
import { LocalSource, renderComposite } from "@nanohype/sdk";
const result = await renderComposite(source, "enterprise-ai", variables);

# MCP — from an agent
get_composite({ name: "enterprise-ai" })

What it draws together

Template	Rendered at	Notes
monorepo	root	the root project
agentic-loop	packages/agent
mcp-server-ts	packages/tools
guardrails	packages/guardrails
rag-pipeline	packages/rag	only when IncludeRag
a2a-agent	packages/orchestrator	only when IncludeA2a
eval-harness	packages/evals
prompt-library	packages/prompts
ts-service	apps/api
module-auth-ts	packages/auth
module-database-ts	packages/db
module-observability-ts	packages/observability
module-queue-ts	packages/queue
module-storage-ts	packages/storage
k8s-deploy	infra

Variables

Required

ProjectName string

Project name Must be lowercase kebab-case.

Optional

LlmProvider string — defaults to anthropic

LLM provider

IncludeRag bool — defaults to true

Include RAG pipeline

IncludeA2a bool — defaults to false

Include multi-agent coordination