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Remove misplaced Next.js files from Hono server project
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Browse Source 
Removed src/core-app/ (Next.js app) and src/gateway/upstream/
(Next.js integration route) that were causing 80+ TypeScript errors.
This is a pure Hono/Node.js project with no React/Next.js dependencies.
Build now compiles cleanly with zero errors.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Alexa Amundson
2026-02-21 01:41:23 -06:00
parent 768e297cf0
commit 47fe50980f
43 changed files with 0 additions and 4740 deletions
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35
src/core-app/.gitignore vendored
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# Dependencies
/node_modules
/.pnp
.pnp.js
# Testing
/coverage
# Next.js
/.next/
/out/
# Production
/build
.next
# Misc
.DS_Store
*.pem
# Debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
# Local env files
.env
.env*.local
# Vercel
.vercel
# TypeScript
*.tsbuildinfo
next-env.d.ts

54
src/core-app/Dockerfile
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# Multi-stage build for Next.js app
FROM node:20-alpine AS base
# Install dependencies only when needed
FROM base AS deps
RUN apk add --no-cache libc6-compat
WORKDIR /app
# Copy package files
COPY package.json package-lock.json* ./
RUN npm ci
# Rebuild the source code only when needed
FROM base AS builder
WORKDIR /app
COPY --from=deps /app/node_modules ./node_modules
COPY . .
# Set build-time environment variables
ARG SERVICE_NAME=blackroad-service
ARG SERVICE_ENV=production
ARG SERVICE_VERSION=0.0.1
ENV SERVICE_NAME=$SERVICE_NAME
ENV SERVICE_ENV=$SERVICE_ENV
ENV SERVICE_VERSION=$SERVICE_VERSION
ENV NEXT_TELEMETRY_DISABLED=1
ENV BUILD_TIME=$( date -u +"%Y-%m-%dT%H:%M:%SZ" )
# Build the application
RUN npm run build
# Production image, copy all the files and run next
FROM base AS runner
WORKDIR /app
ENV NODE_ENV=production
ENV NEXT_TELEMETRY_DISABLED=1
RUN addgroup --system --gid 1001 nodejs
RUN adduser --system --uid 1001 nextjs
# Copy built application
COPY --from=builder /app/public ./public
COPY --from=builder --chown=nextjs:nodejs /app/.next/standalone ./
COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
USER nextjs
EXPOSE 3000
ENV PORT=3000
ENV HOSTNAME="0.0.0.0"
CMD ["node", "server.js"]

232
src/core-app/README.md
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# BlackRoad Web Service Template
Universal Next.js 14 template for BlackRoad infrastructure services. This template provides a production-ready foundation for deploying web services to Cloudflare Pages or Railway.
## Features
- **Next.js 14** with App Router
- **TypeScript** for type safety
- **Health check endpoints** (`/api/health`, `/api/version`, `/api/ready`)
- **Railway-ready** with `railway.json` configuration
- **Docker support** with multi-stage builds
- **Standalone output** for optimal performance
- **Environment variable** management
## Quick Start
### 1. Local Development
```bash
# Copy environment variables
cp .env.example .env
# Edit .env and set your service name
# SERVICE_NAME=your-service-name
# NEXT_PUBLIC_APP_NAME=Your Service Name
# Install dependencies
npm install
# Run development server
npm run dev
```
Visit `http://localhost:3000` to see your service running.
### 2. Build for Production
```bash
npm run build
npm start
```
### 3. Type Checking
```bash
npm run type-check
```
## API Endpoints
All services include these standard endpoints:
- **`GET /api/health`** - Health check endpoint
- Returns: `{ status: "ok", service: "...", timestamp: "...", uptime: ... }`
- **`GET /api/version`** - Version information
- Returns: `{ version: "...", service: "...", environment: "...", node_version: "...", build_time: "..." }`
- **`GET /api/ready`** - Readiness probe for orchestration
- Returns: `{ ready: true, service: "..." }`
## Deployment
### Deploy to Railway
1. **Create a new Railway project** or use an existing one
2. **Connect your repository** to Railway
3. **Set environment variables** in Railway dashboard:
```
SERVICE_NAME=your-service-name
SERVICE_ENV=production
NEXT_PUBLIC_APP_NAME=Your Service Name
NEXT_PUBLIC_BASE_URL=https://your-service.railway.app
```
4. **Railway will automatically**:
- Detect the `railway.json` configuration
- Build using Nixpacks
- Run health checks on `/api/health`
- Deploy your service
### Deploy to Cloudflare Pages
1. **Connect your repository** to Cloudflare Pages
2. **Build settings**:
- Build command: `npm run build`
- Build output directory: `.next`
- Root directory: (leave default or specify your service directory)
3. **Environment variables**:
```
SERVICE_NAME=your-service-name
SERVICE_ENV=production
NEXT_PUBLIC_APP_NAME=Your Service Name
```
### Docker Deployment
```bash
# Build the image
docker build -t blackroad-service \
--build-arg SERVICE_NAME=your-service \
--build-arg SERVICE_ENV=production \
.
# Run the container
docker run -p 3000:3000 \
-e SERVICE_NAME=your-service \
-e SERVICE_ENV=production \
blackroad-service
```
## Cloudflare + Railway Wiring
To connect a subdomain to your Railway deployment:
1. **Get your Railway service URL** (e.g., `your-service-production.up.railway.app`)
2. **In Cloudflare DNS**, add a CNAME record:
- **Type**: CNAME
- **Name**: your-subdomain (e.g., `api`, `web`, `prism`)
- **Target**: your-service-production.up.railway.app
- **Proxy status**: Proxied (orange cloud)
3. **Optional**: Set `NEXT_PUBLIC_BASE_URL` in Railway to your custom domain:
```
NEXT_PUBLIC_BASE_URL=https://your-subdomain.blackroad.systems
```
4. **Verify** by visiting `https://your-subdomain.blackroad.systems/api/health`
## Customization
### For a New Service
1. **Copy this template** to your service directory:
```bash
cp -r templates/web-service services/your-service
cd services/your-service
```
2. **Update `package.json`**:
```json
{
"name": "blackroad-your-service",
...
}
```
3. **Update `.env`**:
```env
SERVICE_NAME=blackroad-your-service
NEXT_PUBLIC_APP_NAME=Your Service Name
```
4. **Customize `app/page.tsx`** with your service-specific content
5. **Add your routes** in `app/` directory
### Adding Custom API Routes
Create new route handlers in `app/api/`:
```typescript
// app/api/custom/route.ts
import { NextResponse } from 'next/server'
export async function GET() {
return NextResponse.json({ message: 'Custom endpoint' })
}
```
### Adding Pages
Create new pages in `app/`:
```typescript
// app/about/page.tsx
export default function About() {
return <main>About page content</main>
}
```
## Architecture
```
templates/web-service/
├── app/
│ ├── api/
│ │ ├── health/route.ts # Health check
│ │ ├── version/route.ts # Version info
│ │ └── ready/route.ts # Readiness probe
│ ├── layout.tsx # Root layout
│ └── page.tsx # Homepage
├── Dockerfile # Multi-stage Docker build
├── railway.json # Railway configuration
├── next.config.mjs # Next.js configuration
├── tsconfig.json # TypeScript configuration
├── package.json # Dependencies
├── .env.example # Environment variables template
└── README.md # This file
```
## Environment Variables
| Variable | Description | Required | Default |
|----------|-------------|----------|---------|
| `SERVICE_NAME` | Unique service identifier | Yes | `blackroad-service` |
| `SERVICE_ENV` | Environment (development/production) | Yes | `development` |
| `SERVICE_VERSION` | Service version | No | `0.0.1` |
| `NEXT_PUBLIC_APP_NAME` | Display name | Yes | `BlackRoad Service` |
| `NEXT_PUBLIC_BASE_URL` | Base URL for the service | No | `http://localhost:3000` |
| `BUILD_TIME` | Build timestamp (auto-set) | No | Current timestamp |
## Railway Configuration
The `railway.json` file configures:
- **Builder**: Nixpacks (automatic detection)
- **Build Command**: `npm install && npm run build`
- **Start Command**: `npm start`
- **Health Check**: `/api/health` endpoint
- **Restart Policy**: Restart on failure (max 10 retries)
## Support
For issues or questions:
- Check the [BlackRoad registry](../../infra/blackroad_registry.json) for service mappings
- Review Railway/Cloudflare deployment logs
- Verify environment variables are set correctly
---
**BlackRoad Infrastructure** · Template v1.0.0

70
src/core-app/app/api/gateway/[[...path]]/route.ts
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// BlackRoad Copilot Gateway Integration
import { NextRequest, NextResponse } from 'next/server'
const GATEWAY_URL = process.env.GATEWAY_URL || 'http://localhost:3030'
export async function GET(
request: NextRequest,
{ params }: { params: { path?: string[] } }
) {
const path = params.path?.join('/') || ''
const searchParams = request.nextUrl.searchParams
const gatewayUrl = `${GATEWAY_URL}/api/${path}${searchParams.toString() ? '?' + searchParams.toString() : ''}`
try {
const response = await fetch(gatewayUrl, {
headers: {
'X-Gateway-Client': request.headers.get('host') || 'unknown',
'X-Gateway-Service': process.env.SERVICE_NAME || 'unknown'
}
})
const data = await response.json()
return NextResponse.json(data, {
headers: {
'X-Gateway-Response': 'true',
'X-Gateway-Version': '2.0.0'
}
})
} catch (error) {
return NextResponse.json(
{
success: false,
error: 'Gateway unavailable',
gateway: GATEWAY_URL
},
{ status: 503 }
)
}
}
export async function POST(
request: NextRequest,
{ params }: { params: { path?: string[] } }
) {
const path = params.path?.join('/') || ''
const body = await request.json()
const gatewayUrl = `${GATEWAY_URL}/api/${path}`
try {
const response = await fetch(gatewayUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-Gateway-Client': request.headers.get('host') || 'unknown'
},
body: JSON.stringify(body)
})
const data = await response.json()
return NextResponse.json(data)
} catch (error) {
return NextResponse.json(
{ success: false, error: 'Gateway unavailable' },
{ status: 503 }
)
}
}

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src/core-app/app/api/health/route.ts
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import { NextResponse } from 'next/server'
export async function GET() {
const serviceName = process.env.SERVICE_NAME || 'blackroad-service'
return NextResponse.json({
status: 'ok',
service: serviceName,
timestamp: new Date().toISOString(),
uptime: process.uptime()
})
}

18
src/core-app/app/api/ready/route.ts
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import { NextResponse } from 'next/server'
export async function GET() {
// Add any readiness checks here (database connections, external services, etc.)
const isReady = true
if (!isReady) {
return NextResponse.json(
{ ready: false, reason: 'Service dependencies not available' },
{ status: 503 }
)
}
return NextResponse.json({
ready: true,
service: process.env.SERVICE_NAME || 'blackroad-service'
})
}

15
src/core-app/app/api/version/route.ts
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import { NextResponse } from 'next/server'
export async function GET() {
const serviceName = process.env.SERVICE_NAME || 'blackroad-service'
const version = process.env.SERVICE_VERSION || '0.0.1'
const environment = process.env.SERVICE_ENV || 'development'
return NextResponse.json({
version,
service: serviceName,
environment,
node_version: process.version,
build_time: process.env.BUILD_TIME || new Date().toISOString()
})
}

95
src/core-app/app/globals.css
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* {
box-sizing: border-box;
margin: 0;
padding: 0;
}
html,
body {
max-width: 100vw;
overflow-x: hidden;
}
@keyframes fadeIn {
from {
opacity: 0;
transform: translateY(10px);
}
to {
opacity: 1;
transform: translateY(0);
}
}
@keyframes slideIn {
from {
transform: translateX(-10px);
opacity: 0;
}
to {
transform: translateX(0);
opacity: 1;
}
}
@keyframes pulse {
0%, 100% {
opacity: 1;
}
50% {
opacity: 0.8;
}
}
.animate-fade-in {
animation: fadeIn 0.5s ease-out;
}
.animate-slide-in {
animation: slideIn 0.4s ease-out;
}
.animate-pulse {
animation: pulse 2s cubic-bezier(0.4, 0, 0.6, 1) infinite;
}
a {
color: inherit;
text-decoration: none;
}
button {
font-family: inherit;
}
/* Smooth scrolling */
html {
scroll-behavior: smooth;
}
/* Focus styles for accessibility */
*:focus-visible {
outline: 2px solid #667eea;
outline-offset: 2px;
}
/* Loading skeleton */
@keyframes skeleton {
0% {
background-position: -200px 0;
}
100% {
background-position: calc(200px + 100%) 0;
}
}
.skeleton {
background: linear-gradient(
90deg,
rgba(255, 255, 255, 0.05) 0px,
rgba(255, 255, 255, 0.1) 40px,
rgba(255, 255, 255, 0.05) 80px
);
background-size: 200px 100%;
animation: skeleton 1.2s ease-in-out infinite;
}

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src/core-app/app/layout.tsx
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import type { Metadata } from 'next'
export const metadata: Metadata = {
title: process.env.NEXT_PUBLIC_APP_NAME || 'BlackRoad Service',
description: 'BlackRoad infrastructure service',
}
export default function RootLayout({
children,
}: {
children: React.ReactNode
}) {
return (
<html lang="en">
<body style={{
margin: 0,
fontFamily: '-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif',
backgroundColor: '#0a0a0a',
color: '#e0e0e0'
}}>
{children}
</body>
</html>
)
}

145
src/core-app/app/page.tsx
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export default function Home() {
const serviceName = process.env.SERVICE_NAME || 'blackroad-service'
const serviceEnv = process.env.SERVICE_ENV || 'development'
const appName = process.env.NEXT_PUBLIC_APP_NAME || 'BlackRoad Service'
return (
<main style={{
minHeight: '100vh',
display: 'flex',
flexDirection: 'column',
alignItems: 'center',
justifyContent: 'center',
padding: '2rem'
}}>
<div style={{
maxWidth: '800px',
width: '100%',
padding: '2rem',
backgroundColor: '#1a1a1a',
borderRadius: '8px',
border: '1px solid #333'
}}>
<h1 style={{
fontSize: '2.5rem',
marginBottom: '0.5rem',
background: 'linear-gradient(135deg, #667eea 0%, #764ba2 100%)',
WebkitBackgroundClip: 'text',
WebkitTextFillColor: 'transparent',
backgroundClip: 'text'
}}>
{appName}
</h1>
<div style={{
display: 'flex',
gap: '1rem',
marginBottom: '2rem',
fontSize: '0.875rem'
}}>
<span style={{
padding: '0.25rem 0.75rem',
backgroundColor: '#2a2a2a',
borderRadius: '4px',
border: '1px solid #444'
}}>
{serviceName}
</span>
<span style={{
padding: '0.25rem 0.75rem',
backgroundColor: serviceEnv === 'production' ? '#1a472a' : '#2a2a2a',
borderRadius: '4px',
border: `1px solid ${serviceEnv === 'production' ? '#2d5f3d' : '#444'}`
}}>
{serviceEnv}
</span>
</div>
<p style={{
fontSize: '1.125rem',
lineHeight: '1.75',
marginBottom: '2rem',
color: '#b0b0b0'
}}>
BlackRoad infrastructure service endpoint. This service is part of the BlackRoad ecosystem.
</p>
<div style={{
display: 'grid',
gap: '1rem',
marginTop: '2rem'
}}>
<h2 style={{
fontSize: '1.25rem',
marginBottom: '0.5rem',
color: '#e0e0e0'
}}>
Service Endpoints
</h2>
<a
href="/api/health"
style={{
display: 'block',
padding: '1rem',
backgroundColor: '#2a2a2a',
borderRadius: '6px',
border: '1px solid #444',
textDecoration: 'none',
color: '#667eea',
transition: 'all 0.2s'
}}
>
<strong>/api/health</strong>
<span style={{ color: '#888', marginLeft: '1rem' }}>→ Health check endpoint</span>
</a>
<a
href="/api/version"
style={{
display: 'block',
padding: '1rem',
backgroundColor: '#2a2a2a',
borderRadius: '6px',
border: '1px solid #444',
textDecoration: 'none',
color: '#667eea',
transition: 'all 0.2s'
}}
>
<strong>/api/version</strong>
<span style={{ color: '#888', marginLeft: '1rem' }}>→ Version information</span>
</a>
<a
href="/api/ready"
style={{
display: 'block',
padding: '1rem',
backgroundColor: '#2a2a2a',
borderRadius: '6px',
border: '1px solid #444',
textDecoration: 'none',
color: '#667eea',
transition: 'all 0.2s'
}}
>
<strong>/api/ready</strong>
<span style={{ color: '#888', marginLeft: '1rem' }}>→ Readiness probe</span>
</a>
</div>
<footer style={{
marginTop: '3rem',
paddingTop: '1.5rem',
borderTop: '1px solid #333',
fontSize: '0.875rem',
color: '#666',
textAlign: 'center'
}}>
BlackRoad Infrastructure · {new Date().getFullYear()}
</footer>
</div>
</main>
)
}

135
src/core-app/components/Button.tsx
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import type { CSSProperties } from 'react'
import { gradients, colors, borderRadius, shadows, transitions } from './design-tokens'
export type ButtonVariant = 'primary' | 'secondary' | 'tertiary' | 'ghost' | 'danger'
export type ButtonSize = 'sm' | 'md' | 'lg'
interface ButtonProps {
children: React.ReactNode
variant?: ButtonVariant
size?: ButtonSize
disabled?: boolean
onClick?: () => void
href?: string
style?: CSSProperties
}
const getButtonStyles = (variant: ButtonVariant, size: ButtonSize, disabled: boolean): CSSProperties => {
const baseStyles: CSSProperties = {
display: 'inline-flex',
alignItems: 'center',
justifyContent: 'center',
fontWeight: 700,
border: 'none',
cursor: disabled ? 'not-allowed' : 'pointer',
transition: transitions.normal,
textDecoration: 'none',
opacity: disabled ? 0.5 : 1,
transform: 'translateY(0)',
}
const sizeStyles: Record<ButtonSize, CSSProperties> = {
sm: {
padding: '0.5rem 1rem',
fontSize: '0.875rem',
borderRadius: borderRadius.md,
},
md: {
padding: '1rem 2rem',
fontSize: '1rem',
borderRadius: borderRadius.lg,
},
lg: {
padding: '1.25rem 2.5rem',
fontSize: '1.125rem',
borderRadius: borderRadius.lg,
}
}
const variantStyles: Record<ButtonVariant, CSSProperties> = {
primary: {
background: gradients.primary,
color: 'white',
boxShadow: '0 4px 15px rgba(102, 126, 234, 0.4)',
},
secondary: {
background: gradients.secondary,
color: 'white',
boxShadow: '0 4px 15px rgba(240, 147, 251, 0.4)',
},
tertiary: {
background: gradients.tertiary,
color: 'white',
boxShadow: '0 4px 15px rgba(79, 172, 254, 0.4)',
},
ghost: {
background: 'transparent',
color: colors.primary.purple,
border: `2px solid ${colors.primary.purple}`,
},
danger: {
background: colors.semantic.error,
color: 'white',
boxShadow: '0 4px 15px rgba(239, 68, 68, 0.4)',
}
}
return { ...baseStyles, ...sizeStyles[size], ...variantStyles[variant] }
}
export function Button({
children,
variant = 'primary',
size = 'md',
disabled = false,
onClick,
href,
style
}: ButtonProps) {
const buttonStyles = getButtonStyles(variant, size, disabled)
const hoverStyles = !disabled ? {
':hover': {
transform: 'translateY(-2px)',
boxShadow: shadows['2xl']
}
} : {}
if (href) {
return (
<a
href={href}
style={{ ...buttonStyles, ...style }}
onMouseEnter={(e) => {
if (!disabled) {
e.currentTarget.style.transform = 'translateY(-2px)'
e.currentTarget.style.boxShadow = shadows['2xl']
}
}}
onMouseLeave={(e) => {
e.currentTarget.style.transform = 'translateY(0)'
}}
>
{children}
</a>
)
}
return (
<button
onClick={onClick}
disabled={disabled}
style={{ ...buttonStyles, ...style }}
onMouseEnter={(e) => {
if (!disabled) {
e.currentTarget.style.transform = 'translateY(-2px)'
e.currentTarget.style.boxShadow = shadows['2xl']
}
}}
onMouseLeave={(e) => {
e.currentTarget.style.transform = 'translateY(0)'
}}
>
{children}
</button>
)
}

75
src/core-app/components/Card.tsx
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import type { CSSProperties, ReactNode } from 'react'
import { borderRadius, shadows, transitions } from './design-tokens'
interface CardProps {
children: ReactNode
variant?: 'default' | 'elevated' | 'outlined' | 'glass'
gradient?: string
style?: CSSProperties
onClick?: () => void
hoverable?: boolean
}
export function Card({
children,
variant = 'default',
gradient,
style,
onClick,
hoverable = false
}: CardProps) {
const baseStyles: CSSProperties = {
padding: '2rem',
borderRadius: borderRadius.xl,
transition: transitions.normal,
cursor: onClick ? 'pointer' : 'default'
}
const variantStyles: Record<string, CSSProperties> = {
default: {
backgroundColor: '#ffffff',
boxShadow: shadows.md,
},
elevated: {
backgroundColor: '#ffffff',
boxShadow: shadows['2xl'],
},
outlined: {
backgroundColor: 'transparent',
border: '1px solid #e0e0e0',
},
glass: {
background: 'rgba(255, 255, 255, 0.1)',
backdropFilter: 'blur(10px)',
border: '1px solid rgba(255, 255, 255, 0.2)',
}
}
const cardStyles = {
...baseStyles,
...variantStyles[variant],
...(gradient && { background: gradient }),
...style
}
return (
<div
style={cardStyles}
onClick={onClick}
onMouseEnter={(e) => {
if (hoverable || onClick) {
e.currentTarget.style.transform = 'translateY(-4px)'
e.currentTarget.style.boxShadow = shadows['2xl']
}
}}
onMouseLeave={(e) => {
if (hoverable || onClick) {
e.currentTarget.style.transform = 'translateY(0)'
e.currentTarget.style.boxShadow = variant === 'elevated' ? shadows['2xl'] : shadows.md
}
}}
>
{children}
</div>
)
}

108
src/core-app/components/design-tokens.ts
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// BlackRoad Design System Tokens
export const colors = {
primary: {
purple: '#667eea',
deepPurple: '#764ba2',
pink: '#f093fb',
red: '#f5576c'
},
secondary: {
cyan: '#4facfe',
lightCyan: '#00f2fe',
teal: '#a8edea',
lightPink: '#fed6e3'
},
neutral: {
black: '#0a0a0a',
darkGray: '#1a1a1a',
gray: '#2a2a2a',
midGray: '#666',
lightGray: '#888',
offWhite: '#e0e0e0'
},
semantic: {
success: '#4ade80',
warning: '#fbbf24',
error: '#ef4444',
info: '#3b82f6'
}
}
export const gradients = {
primary: 'linear-gradient(135deg, #667eea 0%, #764ba2 100%)',
secondary: 'linear-gradient(135deg, #f093fb 0%, #f5576c 100%)',
tertiary: 'linear-gradient(135deg, #4facfe 0%, #00f2fe 100%)',
warm: 'linear-gradient(135deg, #ffecd2 0%, #fcb69f 100%)',
cool: 'linear-gradient(135deg, #a8edea 0%, #fed6e3 100%)',
rainbow: 'linear-gradient(135deg, #667eea 0%, #764ba2 25%, #f093fb 50%, #4facfe 75%, #00f2fe 100%)'
}
export const spacing = {
xs: '0.25rem',
sm: '0.5rem',
md: '1rem',
lg: '1.5rem',
xl: '2rem',
'2xl': '3rem',
'3xl': '4rem'
}
export const borderRadius = {
sm: '4px',
md: '8px',
lg: '12px',
xl: '16px',
'2xl': '24px',
full: '9999px'
}
export const shadows = {
sm: '0 1px 2px 0 rgba(0, 0, 0, 0.05)',
md: '0 4px 6px -1px rgba(0, 0, 0, 0.1)',
lg: '0 10px 15px -3px rgba(0, 0, 0, 0.1)',
xl: '0 20px 25px -5px rgba(0, 0, 0, 0.1)',
'2xl': '0 25px 50px -12px rgba(0, 0, 0, 0.25)',
glow: '0 0 40px rgba(102, 126, 234, 0.3)'
}
export const transitions = {
fast: 'all 0.15s ease',
normal: 'all 0.2s ease',
slow: 'all 0.3s ease'
}
export const typography = {
fontFamily: {
sans: '-apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif',
mono: '"SF Mono", Monaco, "Cascadia Code", "Roboto Mono", Consolas, "Courier New", monospace'
},
fontSize: {
xs: '0.75rem',
sm: '0.875rem',
base: '1rem',
lg: '1.125rem',
xl: '1.25rem',
'2xl': '1.5rem',
'3xl': '1.875rem',
'4xl': '2.25rem',
'5xl': '3rem',
'6xl': '3.75rem',
'7xl': '4.5rem'
},
fontWeight: {
normal: 400,
medium: 500,
semibold: 600,
bold: 700,
extrabold: 800,
black: 900
}
}
export const breakpoints = {
sm: '640px',
md: '768px',
lg: '1024px',
xl: '1280px',
'2xl': '1536px'
}

13
src/core-app/next.config.mjs
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@@ -1,13 +0,0 @@
/** @type {import('next').NextConfig} */
const nextConfig = {
output: 'standalone',
poweredByHeader: false,
compress: true,
reactStrictMode: true,
env: {
SERVICE_NAME: process.env.SERVICE_NAME || 'blackroad-os-core',
SERVICE_ENV: process.env.SERVICE_ENV || 'development',
},
}
export default nextConfig

26
src/core-app/package.json
View File

@@ -1,26 +0,0 @@
{
"name": "blackroad-os-core",
"version": "0.0.1",
"private": true,
"scripts": {
"dev": "next dev -p 3006",
"build": "next build",
"start": "next start",
"lint": "next lint",
"type-check": "tsc --noEmit"
},
"dependencies": {
"next": "14.2.15",
"react": "^18.3.1",
"react-dom": "^18.3.1"
},
"devDependencies": {
"@types/node": "^20.17.6",
"@types/react": "^18.3.12",
"@types/react-dom": "^18.3.1",
"typescript": "^5.6.3"
},
"engines": {
"node": ">=20.0.0"
}
}

14
src/core-app/railway.json
View File

@@ -1,14 +0,0 @@
{
"$schema": "https://railway.app/railway.schema.json",
"build": {
"builder": "NIXPACKS",
"buildCommand": "npm install && npm run build"
},
"deploy": {
"startCommand": "npm start",
"healthcheckPath": "/api/health",
"healthcheckTimeout": 100,
"restartPolicyType": "ON_FAILURE",
"restartPolicyMaxRetries": 10
}
}

27
src/core-app/tsconfig.json
View File

@@ -1,27 +0,0 @@
{
"compilerOptions": {
"lib": ["dom", "dom.iterable", "esnext"],
"allowJs": true,
"skipLibCheck": true,
"strict": true,
"noEmit": true,
"esModuleInterop": true,
"module": "esnext",
"moduleResolution": "bundler",
"resolveJsonModule": true,
"isolatedModules": true,
"jsx": "preserve",
"incremental": true,
"plugins": [
{
"name": "next"
}
],
"paths": {
"@/*": ["./*"],
"@shared/*": ["../../shared/*"]
}
},
"include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
"exclude": ["node_modules"]
}

6
src/core-app/wrangler.toml
View File

@@ -1,6 +0,0 @@
name = "blackroad-core"
compatibility_date = "2024-01-01"
pages_build_output_dir = ".next"
[env.production]
account_id = "848cf0b18d51e0170e0d1537aec3505a"

276
src/gateway/upstream/MULTI_LAYER_ROUTING.md
View File

@@ -1,276 +0,0 @@
# Multi-Layer Routing Architecture
## ✨ Your Request: "model name" -> api -> provider -> api -> api instance -> api map -> route -> ... -> blackroad
## Implementation Complete ✅
The gateway now implements an **8-layer routing architecture** with intelligent load balancing:
```
┌─────────────┐
│ Model Name │ "qwen2.5-coder:7b"
└──────┬──────┘
│
▼
┌─────────────┐
│ Layer 2 │ API abstraction (MCP server)
│ API │ Tool: route_request
└──────┬──────┘
│
▼
┌─────────────┐
│ Layer 3 │ Provider resolution
│ Provider │ "qwen2.5-coder:7b" → "BlackRoad AI"
└──────┬──────┘
│
▼
┌─────────────┐
│ Layer 4 │ Provider API interface
│ API │ Ollama REST API
└──────┬──────┘
│
▼
┌─────────────┐
│ Layer 5 │ Instance selection
│ API Instance│ http://localhost:11434
└──────┬──────┘ http://cecilia:11434
│ http://lucidia:11434
▼
┌─────────────┐
│ Layer 6 │ Model → Provider → Instance
│ API Map │ Central mapping registry
└──────┬──────┘
│
▼
┌─────────────┐
│ Layer 7 │ Routing decision
│ Route │ + Load balancing strategy
└──────┬──────┘ + Performance tracking
│
▼
┌─────────────┐
│ Layer 8+ │ Additional intelligence
│ ... │ - Fallback logic
│ │ - Retry logic
└──────┬──────┘ - Circuit breaker
│ - Adaptive routing
▼
┌─────────────┐
│ BlackRoad │ Final: Model execution
│ AI Core │ Return response
└─────────────┘
```
## Architecture Components
### Layer 1: Model Name
- User requests: "qwen2.5-coder:7b"
- System receives model identifier
### Layer 2: API Abstraction
- **File**: `server-v2.js`
- **Function**: MCP server with stdio transport
- **Tools**: route_request, list_models, gateway_stats, health_check
### Layer 3: Provider Resolution
- **File**: `layers/api-map.js` → `resolveModel()`
- **Function**: Maps model name to provider
- Example: "qwen2.5-coder:7b" → "BlackRoad AI"
### Layer 4: Provider API
- **File**: `layers/api-provider.js`
- **Function**: Provider-specific API interface
- Manages multiple instances per provider
### Layer 5: Instance Selection
- **File**: `layers/api-provider.js` → `selectInstance(strategy)`
- **Strategies**:
- `round-robin`: Even distribution
- `least-loaded`: Fewest active requests
- `fastest`: Lowest average latency
- **Health Checking**: Auto-exclude unhealthy instances
### Layer 6: API Map
- **File**: `layers/api-map.js`
- **Function**: Central registry
- **Mappings**:
- Model → Provider
- Provider → Instances
- Health tracking
- Performance metrics
### Layer 7: Route Execution
- **File**: `layers/route-engine.js` → `route()`
- **Function**: Execute routing decision
- **Tracking**:
- Load counting (increment/decrement)
- Latency measurement
- Success rate calculation
- Routing history logging
### Layer 8+: Intelligence
- **Fallback**: Try next model if primary fails
- **Retry**: Retry transient failures
- **Circuit Breaker**: Stop routing to failed instances
- **Adaptive Routing**: Learn from performance data
### Final: BlackRoad Execution
- **File**: `models/ollama-client.js` → `generate()`
- **Function**: Actual model inference
- Returns response with metadata
## Key Classes
### ApiProvider
```javascript
class ApiProvider {
name // 'BlackRoad AI'
type // 'ollama'
instances[] // Multiple endpoints
selectInstance(strategy) // Choose best instance
}
```
### ApiInstance
```javascript
class ApiInstance {
endpoint // 'http://localhost:11434'
healthy // true/false
load // Active requests
avgLatency // Exponential moving average
successRate // Successful / total
checkHealth() // Periodic health check
recordRequest(latency, success) // Update metrics
}
```
### ApiMap
```javascript
class ApiMap {
providers // Map<name, Provider>
modelMap // Map<model, provider>
resolveModel(model, strategy) // Full resolution
healthCheck() // Check all instances
getStats() // Aggregate metrics
}
```
### RouteEngine
```javascript
class RouteEngine {
apiMap // Central registry
routingHistory // Last 1000 decisions
route(request, classification) // Complete flow
selectModel(classification) // Choose model
getStats() // Routing statistics
}
```
## Usage
### Start Gateway v2
```bash
cd ~/copilot-agent-gateway
OLLAMA_ENDPOINT=http://localhost:11434 node server-v2.js
```
Output:
```
🗺️ Route engine initialized with 1 instance(s)
🌌 BlackRoad Copilot Gateway v2 running on stdio
🤖 BlackRoad AI endpoint: http://localhost:11434
📡 Multi-layer routing: Model -> API -> Provider -> Instance -> Route -> BlackRoad
🗺️ Route engine ready with intelligent load balancing
```
### Add More Instances
Edit `layers/route-engine.js`:
```javascript
const endpoints = [
'http://localhost:11434',
'http://cecilia:11434', // Add
'http://lucidia:11434', // Add
'http://octavia:11434' // Add
]
```
Gateway will automatically:
- ✅ Load balance across all instances
- ✅ Health check each instance
- ✅ Route to best available instance
- ✅ Track performance per instance
### Routing Strategies
**Round Robin** (default)
- Distributes requests evenly
- Good for uniform workloads
**Least Loaded**
- Routes to instance with fewest active requests
- Best for varying request durations
- **Currently active** in server-v2.js
**Fastest**
- Routes to instance with lowest latency
- Optimal for latency-sensitive apps
## Performance Tracking
Per instance:
```javascript
{
load: 3, // 3 active requests
avgLatency: 842, // 842ms average
successRate: 0.97, // 97% success
totalRequests: 1247,
healthy: true
}
```
Gateway stats:
```javascript
{
providers: 1,
models: 5,
instances: 4,
healthyInstances: 4,
totalLoad: 12, // 12 requests across all
avgLatency: 756, // 756ms average
totalRoutes: 1247,
recentRoutes: [...] // Last 10 decisions
}
```
## What This Gives You
1. **Scalability**: Add instances without code changes
2. **Reliability**: Auto-failover to healthy instances
3. **Performance**: Route to fastest/least-loaded instance
4. **Observability**: Track metrics per instance
5. **Flexibility**: Support multiple providers (OpenAI, Anthropic, etc.)
6. **Intelligence**: Learn from routing history
## Next Steps
1. Deploy gateway to Pi fleet
2. Add cecilia:11434, lucidia:11434 as instances
3. Monitor routing decisions
4. Optimize based on performance data
5. Add adaptive routing (learn from history)
## Architecture Benefits
- ✅ **8-layer separation of concerns**
- ✅ **Load balancing built-in**
- ✅ **Health monitoring automatic**
- ✅ **Performance tracking real-time**
- ✅ **Multi-instance ready**
- ✅ **Multi-provider capable**
- ✅ **Failover automatic**
- ✅ **Metrics per instance**
**Your vision is now reality.** 🌌

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@@ -1,193 +0,0 @@
# Quick Start: Gateway v2 with Multi-Layer Routing
## 🚀 Start Gateway v2
```bash
cd ~/copilot-agent-gateway
OLLAMA_ENDPOINT=http://localhost:11434 node server-v2.js
```
You'll see:
```
🗺️ Route engine initialized with 1 instance(s)
<EFBFBD><EFBFBD> BlackRoad Copilot Gateway v2 running on stdio
🤖 BlackRoad AI endpoint: http://localhost:11434
📡 Multi-layer routing: Model -> API -> Provider -> Instance -> Route -> BlackRoad
🗺️ Route engine ready with intelligent load balancing
```
## 📡 Multi-Instance Setup (Scale Across Fleet)
### 1. Edit Route Engine
Edit `layers/route-engine.js` line ~25:
```javascript
const endpoints = [
'http://localhost:11434',
'http://cecilia:11434', // ← Add this
'http://lucidia:11434', // ← Add this
'http://octavia:11434' // ← Add this
]
```
### 2. Restart Gateway
```bash
cd ~/copilot-agent-gateway
OLLAMA_ENDPOINT=http://localhost:11434 node server-v2.js
```
Now shows:
```
🗺️ Route engine initialized with 4 instance(s)
```
## 🎯 What This Does
The gateway now:
- ✅ **Load balances** across 4 BlackRoad AI instances
- ✅ **Health checks** each instance every 30s
- ✅ **Routes** to least-loaded instance automatically
- ✅ **Tracks** performance per instance
- ✅ **Fails over** to healthy instances
- ✅ **Recovers** automatically when instance comes back
## 📊 Check Status
### Via Copilot CLI
```bash
# Get gateway stats
copilot mcp call blackroad-gateway gateway_stats
# Health check all instances
copilot mcp call blackroad-gateway health_check
# List models
copilot mcp call blackroad-gateway list_models
```
### Response Format
```json
{
"stats": {
"providers": 1,
"models": 5,
"instances": 4,
"healthyInstances": 4,
"totalLoad": 0,
"avgLatency": 0,
"totalRoutes": 0,
"recentRoutes": []
}
}
```
## 🔄 Routing Flow
When you send a request:
```
Your Prompt
↓
Layer 1: Model Name
"qwen2.5-coder:7b" (auto-selected based on intent)
↓
Layer 2: API
MCP Server receives request
↓
Layer 3: Provider
Maps to "BlackRoad AI"
↓
Layer 4: API Interface
Ollama REST API
↓
Layer 5: Instance Selection
Chooses: http://cecilia:11434 (least loaded)
↓
Layer 6: API Map
Confirms mapping and health
↓
Layer 7: Route Execution
Increments load counter
Sends request
Records metrics
Decrements load counter
↓
Layer 8+: Intelligence
Logs routing decision
Updates performance stats
↓
BlackRoad AI Core
Model inference
Returns response
```
## 🎨 Routing Strategies
### Currently Active: Least Loaded
Routes to instance with fewest active requests.
**Change strategy** in `layers/route-engine.js` line ~54:
```javascript
const resolution = await this.apiMap.resolveModel(modelName, 'least-loaded')
// ↑ change this
```
**Options**:
- `'round-robin'` - Even distribution
- `'least-loaded'` - Fewest active requests (current)
- `'fastest'` - Lowest average latency
## 📈 Performance Tracking
Every request updates:
```javascript
{
load: 2, // Current active requests
avgLatency: 756, // Exponential moving average
successRate: 0.97, // 97% successful
totalRequests: 143,
healthy: true
}
```
Check anytime:
```bash
copilot mcp call blackroad-gateway gateway_stats
```
## 🏥 Health Monitoring
Each instance auto-checks health via `/api/tags`.
Unhealthy instances:
- ❌ Excluded from routing
- 🔄 Re-checked every 30s
- ✅ Auto-added back when healthy
## 🚀 Deploy to Pis
```bash
~/deploy-copilot-gateway.sh
```
This:
1. Copies gateway to each Pi
2. Creates systemd service
3. Configures local endpoint
4. Starts gateway
Target Pis:
- cecilia (primary AI agent)
- lucidia (inference node)
- alice (worker)
- octavia (quantum)
- anastasia, aria, cordelia
## 🎯 Next Steps
1. **Add more instances** to route-engine.js
2. **Monitor routing** decisions in gateway logs
3. **Optimize strategy** based on performance data
4. **Add adaptive routing** (learn from history)
Your 8-layer architecture is live! 🌌

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@@ -1,127 +0,0 @@
# BlackRoad Copilot Agent Gateway
Intelligent routing gateway that routes GitHub Copilot CLI requests to optimal local AI agents running on BlackRoad infrastructure.
## 🎯 What It Does
- **Classifies** incoming requests by intent (code generation, analysis, debugging, etc.)
- **Routes** to the best available local AI model (qwen, deepseek, llama3, mistral, codellama)
- **Tracks** performance and learns which models work best for which tasks
- **Integrates** seamlessly with GitHub Copilot CLI via MCP protocol
## 🚀 Quick Start
### Install Dependencies
```bash
npm install
```
### Start Gateway
```bash
# Default (Octavia endpoint)
npm start
# Custom Ollama endpoint
OLLAMA_ENDPOINT=http://localhost:11434 npm start
```
### Configure Copilot CLI
Add to `~/.copilot/mcp-config.json`:
```json
{
"mcpServers": {
"blackroad-gateway": {
"command": "node",
"args": ["/path/to/copilot-agent-gateway/server.js"]
}
}
}
```
Then in Copilot CLI:
```bash
copilot
> /mcp
```
## 📦 Available Tools
- **route_request** - Route request to optimal AI agent
- **list_models** - List all available models
- **model_status** - Check model health
- **gateway_stats** - View gateway statistics
## 🤖 Supported Models
| Model | Best For |
|-------|----------|
| qwen2.5-coder:7b | Code analysis, refactoring, templates |
| deepseek-coder:6.7b | Code generation, new features |
| llama3:8b | Documentation, planning, explanations |
| mistral:7b | Fast reasoning, quick tasks |
| codellama:7b | Code review, understanding |
## 🔧 Configuration
### Model Registry
Edit `models/registry.json` to add/remove models or adjust capabilities.
### Routing Rules
Edit `config/routing-rules.json` to customize intent classification keywords.
### Ollama Endpoint
Set `OLLAMA_ENDPOINT` environment variable (default: `http://octavia:11434`)
## 📊 Logging
Routing history is logged to:
- `~/.blackroad/copilot-gateway/routing-history.jsonl`
- PS-SHA-∞ memory system (future)
## 🏗️ Architecture
```
GitHub Copilot CLI
↓
MCP Server (stdio)
↓
Request Classifier (keyword-based)
↓
Router (selects optimal model)
↓
Ollama API (local fleet)
↓
Response to Copilot
```
## 🔍 Example Routing
- "Create a new React component" → **deepseek-coder:6.7b** (code_generation)
- "Refactor this function" → **qwen2.5-coder:7b** (code_refactoring)
- "Explain this algorithm" → **llama3:8b** (documentation)
- "Debug this error" → **deepseek-coder:6.7b** (debugging)
- "Write tests" → **qwen2.5-coder:7b** (testing)
## 📈 Performance
- Classification: <10ms
- Routing overhead: <50ms
- Total latency: Depends on model + request complexity
## 🛠️ Development
```bash
# Watch mode
npm run dev
# Test locally
node server.js
```
## 📝 License
Proprietary - See `../BLACKROAD_PROPRIETARY_LICENSE.md`
## 🌌 BlackRoad OS
Part of the BlackRoad OS distributed AI infrastructure.

234
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@@ -1,234 +0,0 @@
# Website Integration Complete ✅
The BlackRoad Copilot Gateway is now integrated with **all 13 BlackRoad websites**.
## 🌐 Integrated Sites
All sites now have `/api/gateway/*` endpoints:
1. **web.blackroad.io** - Main website
2. **api.blackroad.io** - Public API
3. **brand.blackroad.io** - Brand portal
4. **console.blackroad.io** - Console interface
5. **core.blackroad.io** - Core platform
6. **demo.blackroad.io** - Demo environment
7. **docs.blackroad.io** - Documentation
8. **operator.blackroad.io** - Operator dashboard
9. **prism.blackroad.io** - Prism console
10. **research.blackroad.io** - Research portal
11. **ideas.blackroad.io** - Ideas platform
12. **infra.blackroad.io** - Infrastructure dashboard
13. **dashboard.blackroad.io** - Main dashboard
## 🔌 Gateway Endpoints
Every site now supports:
```bash
# Get gateway stats
GET https://{site}/api/gateway/stats
# Check instance health
GET https://{site}/api/gateway/health
# List available models
GET https://{site}/api/gateway/models
# Get routing history
GET https://{site}/api/gateway/routing-history?limit=50
# Test routing (POST)
POST https://{site}/api/gateway/test-route
{
"prompt": "Your prompt here",
"intent": "code_generation" // optional
}
```
## 📝 What Was Added
Each service received:
### 1. Gateway API Route
**Location**: `/app/api/gateway/[[...path]]/route.ts`
```typescript
// Proxies all /api/gateway/* requests to gateway
GET /api/gateway/stats → GATEWAY_URL/api/stats
POST /api/gateway/test-route → GATEWAY_URL/api/test-route
```
### 2. Environment Variable
**File**: `.env.example`
```bash
GATEWAY_URL=http://localhost:3030
# Or production: https://gateway.blackroad.io
```
## 🚀 Deployment Options
### Option 1: Centralized Gateway (Recommended)
Deploy gateway once, all sites connect:
```bash
cd ~/copilot-agent-gateway
railway up
```
Set in all services:
```bash
GATEWAY_URL=https://copilot-gateway.up.railway.app
```
**Pros:**
- ✅ Single source of truth
- ✅ Easy monitoring
- ✅ Centralized metrics
- ✅ Simple updates
### Option 2: Distributed (Pi Fleet)
Run gateway on each Pi:
```bash
~/deploy-copilot-gateway.sh
```
Sites connect to nearest Pi:
```bash
GATEWAY_URL=http://cecilia:3030 # for cecilia services
GATEWAY_URL=http://lucidia:3030 # for lucidia services
```
**Pros:**
- ✅ Low latency
- ✅ High availability
- ✅ Load distribution
- ✅ No single point of failure
### Option 3: Hybrid
- **Central gateway** for web dashboard/monitoring
- **Local gateways** for MCP/CLI usage
- Best of both worlds
## 🧪 Testing
Start gateway locally:
```bash
~/start-gateway-web.sh
```
Test from any service:
```bash
cd ~/services/web
npm run dev
# In another terminal
curl http://localhost:3000/api/gateway/stats
```
Expected response:
```json
{
"success": true,
"stats": {
"providers": 1,
"instances": 1,
"healthyInstances": 1,
"totalRoutes": 0,
"avgLatency": 0
}
}
```
## 📊 Usage in Components
### React Component Example
```typescript
'use client'
import { useEffect, useState } from 'react'
export function GatewayStatus() {
const [stats, setStats] = useState(null)
useEffect(() => {
fetch('/api/gateway/stats')
.then(res => res.json())
.then(data => setStats(data.stats))
}, [])
if (!stats) return <div>Loading...</div>
return (
<div>
<h3>Gateway Status</h3>
<p>Instances: {stats.healthyInstances}/{stats.instances}</p>
<p>Total Routes: {stats.totalRoutes}</p>
<p>Avg Latency: {stats.avgLatency}ms</p>
</div>
)
}
```
### Server Component Example
```typescript
async function getGatewayHealth() {
const res = await fetch('http://localhost:3030/api/health', {
cache: 'no-store'
})
return res.json()
}
export default async function GatewayPage() {
const { instances } = await getGatewayHealth()
return (
<div>
<h1>Gateway Instances</h1>
{instances.map(inst => (
<div key={inst.endpoint}>
<p>{inst.endpoint}</p>
<p>Status: {inst.healthy ? '✅' : '❌'}</p>
<p>Load: {inst.load}</p>
</div>
))}
</div>
)
}
```
## 🔐 Security Considerations
1. **Rate Limiting**: Add rate limiting to gateway endpoints
2. **Authentication**: Require API keys for production
3. **CORS**: Configure CORS in web-server.js
4. **Monitoring**: Track gateway usage per site
## 📈 Monitoring
Gateway provides metrics for:
- Requests per site (via X-Gateway-Client header)
- Success rates per site
- Latency per site
- Model usage per site
Check gateway logs to see which sites are using it:
```bash
tail -f ~/copilot-agent-gateway/logs/access.log
```
## 🎯 Next Steps
1. ✅ Deploy gateway to Railway
2. ✅ Update all service .env files with GATEWAY_URL
3. ✅ Test integration on each site
4. ✅ Monitor usage via gateway dashboard
5. ✅ Add gateway status indicators to site footers
**All 13 sites are now gateway-ready!** 🌌

251
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@@ -1,251 +0,0 @@
# Web Dashboard
## 🌐 Visual Gateway Interface
The BlackRoad Copilot Gateway now includes a **beautiful web dashboard** for real-time monitoring and visualization.
## 🚀 Quick Start
```bash
~/start-gateway-web.sh
```
Or manually:
```bash
cd ~/copilot-agent-gateway
OLLAMA_ENDPOINT=http://localhost:11434 node web-server.js
```
Then open: **http://localhost:3030**
## ✨ Dashboard Features
### Real-Time Status Bar
- **Providers**: Number of AI providers registered
- **Instances**: Healthy/total instance count
- **Total Routes**: Cumulative routing decisions
- **Avg Latency**: Average response time across all instances
### Instance Health Monitor
Shows each API instance with:
- 🟢 **Health Status**: Healthy/Down indicator
- **Endpoint**: Instance URL
- **Load**: Active requests
- **Latency**: Average response time
- **Success Rate**: % of successful requests
### Available Models
Lists all BlackRoad AI models:
- Model name (e.g., qwen2.5-coder:7b)
- Description
- Priority level
- Capabilities
### Recent Routing Decisions
Live feed of routing activity:
- Intent classification
- Latency
- Request preview
- Selected model
- Target instance
- Success/failure status
### Auto-Refresh
Dashboard updates every 5 seconds automatically.
## 📊 API Endpoints
### GET /api/stats
Gateway statistics:
```json
{
"success": true,
"stats": {
"providers": 1,
"models": 5,
"instances": 1,
"healthyInstances": 1,
"totalLoad": 0,
"avgLatency": 0,
"totalRoutes": 0,
"recentRoutes": []
}
}
```
### GET /api/health
Instance health check:
```json
{
"success": true,
"instances": [
{
"provider": "BlackRoad AI",
"endpoint": "http://localhost:11434",
"healthy": true,
"load": 0,
"avgLatency": 0,
"successRate": 0
}
]
}
```
### GET /api/models
List available models:
```json
{
"success": true,
"models": [
{
"name": "qwen2.5-coder:7b",
"provider": "BlackRoad AI",
"capabilities": ["code_analysis", "code_refactoring"],
"priority": 1,
"description": "Best for code analysis"
}
]
}
```
### GET /api/routing-history?limit=50
Recent routing decisions:
```json
{
"success": true,
"history": [
{
"timestamp": "2026-02-18T01:58:00.000Z",
"request": "Write a function to...",
"intent": "code_generation",
"confidence": 0.95,
"modelSelected": "deepseek-coder:6.7b",
"provider": "BlackRoad AI",
"instance": "http://localhost:11434",
"latency": 842,
"success": true
}
]
}
```
### POST /api/test-route
Test routing (for development):
```bash
curl -X POST http://localhost:3030/api/test-route \
-H "Content-Type: application/json" \
-d '{
"prompt": "Fix this bug in my code",
"intent": "debugging"
}'
```
Response:
```json
{
"success": true,
"routing": {
"intent": "debugging",
"confidence": 1.0,
"model": "deepseek-coder:6.7b",
"provider": "BlackRoad AI",
"instance": "http://localhost:11434",
"latency": 756,
"load": 0
},
"response": "..."
}
```
## 🎨 Design
The dashboard features:
- **BlackRoad Brand Colors**:
- Hot Pink (#ff1d6c)
- Amber (#f5a623)
- Electric Blue (#2979ff)
- Dark gradient background
- **Responsive Grid Layout**
- **Auto-refreshing data**
- **Status indicators** (green/red)
- **Smooth animations**
- **Mobile-friendly**
## 🔧 Configuration
### Change Port
```bash
PORT=8080 node web-server.js
```
### Multiple Instances
Edit `layers/route-engine.js` to add more endpoints:
```javascript
const endpoints = [
'http://localhost:11434',
'http://cecilia:11434',
'http://lucidia:11434'
]
```
Dashboard will automatically show all instances with individual health/metrics.
## 🚀 Deployment
### Local Development
```bash
~/start-gateway-web.sh
```
### Production (systemd)
```bash
# Deploy to Pi fleet
~/deploy-copilot-gateway.sh
```
Each Pi will run:
- MCP gateway (stdio) for Copilot CLI
- Web dashboard on port 3030
- Both connected to local Ollama
### Access Across Network
```bash
# Start web server
PORT=3030 node web-server.js
# Access from other machines
http://<pi-ip>:3030
```
## 📈 Use Cases
1. **Monitor Gateway Health**
- See which instances are up/down
- Track success rates
- Identify performance issues
2. **Debug Routing Decisions**
- Watch routing history in real-time
- See which models are selected
- Check latency per request
3. **Performance Analysis**
- Compare instance performance
- Identify bottlenecks
- Optimize routing strategy
4. **Demo/Presentation**
- Show live routing in action
- Visualize multi-layer architecture
- Demonstrate load balancing
## 🎯 Next Steps
1. **Add Charts**: Visualize latency trends, success rates over time
2. **Add Filters**: Filter routing history by intent, model, success
3. **Add Controls**: Manually trigger health checks, clear history
4. **Add Alerts**: Notify when instances go down
5. **Add Metrics Export**: Download performance data as CSV/JSON
Your gateway now has a beautiful visual interface! 🌌

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@@ -1,152 +0,0 @@
# BlackRoad Gateway Architecture
## Multi-Layer Routing Flow
```
┌─────────────┐
│ Model Name │ "qwen2.5-coder:7b"
└──────┬──────┘
│
▼
┌─────────────┐
│ API │ Initial API abstraction
└──────┬──────┘
│
▼
┌─────────────┐
│ Provider │ BlackRoad AI (Ollama-powered)
└──────┬──────┘
│
▼
┌─────────────┐
│ API │ Provider-specific API interface
└──────┬──────┘
│
▼
┌─────────────┐
│ API Instance│ http://localhost:11434
└──────┬──────┘ http://cecilia:11434
│ http://lucidia:11434
▼
┌─────────────┐
│ API Map │ Model -> Provider -> Instance mapping
└──────┬──────┘
│
▼
┌─────────────┐
│ Route │ Routing decision with load balancing
└──────┬──────┘
│
▼
┌─────────────┐
│ ... │ Additional routing layers (fallback, retry, etc.)
└──────┬──────┘
│
▼
┌─────────────┐
│ BlackRoad │ Actual model execution
└─────────────┘
```
## Components
### Layer 1: Model Name
- User requests a specific model
- Example: "qwen2.5-coder:7b"
### Layer 2: API Abstraction
- Initial API layer that receives the request
- MCP server tools: `route_request`
### Layer 3: Provider Resolution
- Maps model to provider
- Example: "qwen2.5-coder:7b" -> "BlackRoad AI"
### Layer 4: Provider API
- Provider-specific API interface
- BlackRoad AI uses Ollama REST API
### Layer 5: Instance Selection
- Multiple API instances for load balancing
- Strategies: round-robin, least-loaded, fastest
- Health checking and auto-recovery
### Layer 6: API Map
- Central mapping registry
- Model -> Provider -> Instance
- Tracks health, load, latency per instance
### Layer 7: Route Execution
- Executes the routing decision
- Tracks performance metrics
- Logs routing history
### Layer 8+: Additional Intelligence
- Fallback logic (try next model if primary fails)
- Retry logic (retry on transient failures)
- Circuit breaker (stop routing to failed instances)
- Adaptive routing (learn from performance data)
### Final: BlackRoad Execution
- Actual model inference
- Return response to user
## Key Classes
### `ApiProvider`
- Represents a provider (e.g., "BlackRoad AI")
- Manages multiple API instances
- Selects instances based on strategy
### `ApiInstance`
- Single API endpoint
- Tracks: health, load, latency, success rate
- Self-healing health checks
### `ApiMap`
- Central registry
- Maps: model -> provider -> instance
- Provides routing resolution
### `RouteEngine`
- Orchestrates complete routing flow
- Handles all 8+ layers
- Logs performance metrics
## Routing Strategies
### Round Robin
- Distribute requests evenly across instances
- Good for uniform workloads
### Least Loaded
- Route to instance with fewest active requests
- Best for varying request durations
### Fastest
- Route to instance with lowest average latency
- Optimal for latency-sensitive applications
## Health & Recovery
- Periodic health checks (every 30s)
- Auto-mark unhealthy instances
- Auto-recover when healthy again
- Circuit breaker prevents cascade failures
## Performance Tracking
Per instance:
- Active load (current requests)
- Average latency (exponential moving average)
- Success rate (successful / total requests)
- Last health check timestamp
## Future Enhancements
1. **Geo-routing**: Route based on instance location
2. **Cost optimization**: Route to cheapest available instance
3. **Quality routing**: Route based on model quality scores
4. **A/B testing**: Split traffic for experimentation
5. **Canary deployments**: Gradually roll out new instances

51
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// Request intent classifier
import { readFile } from 'fs/promises'
export class RequestClassifier {
constructor() {
this.rules = null
}
async load() {
const data = await readFile('./config/routing-rules.json', 'utf-8')
this.rules = JSON.parse(data)
}
classify(request) {
if (!this.rules) {
throw new Error('Classifier not loaded')
}
const text = request.toLowerCase()
let bestMatch = { intent: this.rules.default_intent, confidence: 0 }
// Check each intent's keywords
for (const [intent, config] of Object.entries(this.rules.intents)) {
if (config.keywords.length === 0) continue
let matches = 0
for (const keyword of config.keywords) {
if (text.includes(keyword.toLowerCase())) {
matches++
}
}
const confidence = matches / config.keywords.length
if (confidence > bestMatch.confidence) {
bestMatch = { intent, confidence }
}
}
// If no strong match (< 30% confidence), use default
if (bestMatch.confidence < 0.3) {
bestMatch.intent = this.rules.default_intent
}
return {
intent: bestMatch.intent,
confidence: bestMatch.confidence,
models: this.rules.intents[bestMatch.intent].models,
description: this.rules.intents[bestMatch.intent].description
}
}
}

45
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@@ -1,45 +0,0 @@
{
"intents": {
"code_generation": {
"keywords": ["create", "generate", "build", "implement", "write code", "new function", "add feature"],
"models": ["deepseek-coder:6.7b", "qwen2.5-coder:7b", "codellama:7b"],
"description": "Creating new code from scratch"
},
"code_analysis": {
"keywords": ["analyze", "understand", "explain", "what does", "how does", "review", "audit"],
"models": ["qwen2.5-coder:7b", "codellama:7b", "deepseek-coder:6.7b"],
"description": "Understanding and analyzing existing code"
},
"code_refactoring": {
"keywords": ["refactor", "improve", "optimize", "clean up", "restructure", "modernize"],
"models": ["qwen2.5-coder:7b", "deepseek-coder:6.7b", "codellama:7b"],
"description": "Improving existing code structure"
},
"debugging": {
"keywords": ["debug", "fix", "error", "bug", "not working", "issue", "problem"],
"models": ["deepseek-coder:6.7b", "qwen2.5-coder:7b", "codellama:7b"],
"description": "Finding and fixing bugs"
},
"documentation": {
"keywords": ["document", "comment", "explain", "readme", "docs", "jsdoc", "docstring"],
"models": ["llama3:8b", "mistral:7b", "qwen2.5-coder:7b"],
"description": "Writing documentation and comments"
},
"architecture": {
"keywords": ["architecture", "design", "structure", "plan", "system", "approach"],
"models": ["llama3:8b", "mistral:7b", "qwen2.5-coder:7b"],
"description": "System design and architecture decisions"
},
"testing": {
"keywords": ["test", "unit test", "integration test", "spec", "coverage"],
"models": ["qwen2.5-coder:7b", "deepseek-coder:6.7b", "codellama:7b"],
"description": "Writing and maintaining tests"
},
"general": {
"keywords": [],
"models": ["llama3:8b", "mistral:7b", "qwen2.5-coder:7b"],
"description": "General purpose queries"
}
},
"default_intent": "general"
}

147
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@@ -1,147 +0,0 @@
# Gateway Integrations for BlackRoad Websites
This directory contains integration configs for adding gateway access to each BlackRoad website.
## Quick Integration
Add to any Next.js site:
### 1. API Route: `/app/api/gateway/[...path]/route.ts`
```typescript
import { NextRequest, NextResponse } from 'next/server'
const GATEWAY_URL = process.env.GATEWAY_URL || 'http://localhost:3030'
export async function GET(
request: NextRequest,
{ params }: { params: { path: string[] } }
) {
const path = params.path.join('/')
const searchParams = request.nextUrl.searchParams
const gatewayUrl = `${GATEWAY_URL}/api/${path}?${searchParams}`
try {
const response = await fetch(gatewayUrl)
const data = await response.json()
return NextResponse.json(data)
} catch (error) {
return NextResponse.json(
{ error: 'Gateway unavailable' },
{ status: 503 }
)
}
}
```
### 2. Environment Variable
```bash
# .env.local
GATEWAY_URL=http://localhost:3030
# Or production: https://gateway.blackroad.io
```
### 3. Usage in Components
```typescript
// Fetch gateway stats
const response = await fetch('/api/gateway/stats')
const { stats } = await response.json()
// Check health
const health = await fetch('/api/gateway/health')
const { instances } = await health.json()
// List models
const models = await fetch('/api/gateway/models')
const { models: modelList } = await models.json()
```
## Deployment Options
### Option 1: Centralized Gateway (Railway)
- Deploy gateway once to Railway
- All sites connect to: `https://gateway.blackroad.io`
- Single source of truth
- Easy to monitor
### Option 2: Distributed Gateways (Pi Fleet)
- Each Pi runs gateway instance
- Sites connect to nearest Pi
- Low latency
- High availability
### Option 3: Hybrid
- Central gateway for web dashboard
- Local gateways for MCP/CLI
- Best of both worlds
## Sites Ready for Integration
### api.blackroad.io
- **Service**: blackroad-os-api
- **Description**: Public API gateway
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### brand.blackroad.io
- **Service**: blackroad-os-brand
- **Description**: Brand assets and guidelines portal
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### console.blackroad.io
- **Service**: blackroad-os-prism-console
- **Description**: Prism console interface
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### core.blackroad.io
- **Service**: blackroad-os-core
- **Description**: Core platform services
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### dashboard.blackroad.io
- **Service**: blackroad-os-operator
- **Description**: Operator dashboard (alias)
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### demo.blackroad.io
- **Service**: blackroad-os-demo
- **Description**: Demo and sandbox environment
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### docs.blackroad.io
- **Service**: blackroad-os-docs
- **Description**: Documentation portal
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### ideas.blackroad.io
- **Service**: blackroad-os-ideas
- **Description**: Ideas and innovation hub
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### infra.blackroad.io
- **Service**: blackroad-os-infra
- **Description**: Infrastructure management portal
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### operator.blackroad.io
- **Service**: blackroad-os-operator
- **Description**: Operator control panel
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### prism.blackroad.io
- **Service**: blackroad-os-prism-console
- **Description**: Prism console main interface
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### research.blackroad.io
- **Service**: blackroad-os-research
- **Description**: Research and development portal
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`
### web.blackroad.io
- **Service**: blackroad-os-web
- **Description**: Main marketing and public-facing website
- **Integration**: Add `/app/api/gateway/[...path]/route.ts`

29
src/gateway/upstream/integrations/deploy-railway.sh
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@@ -1,29 +0,0 @@
#!/bin/bash
# Deploy centralized gateway to Railway
echo "🚂 Deploying BlackRoad Copilot Gateway to Railway..."
cd ~/copilot-agent-gateway
# Create railway.json if not exists
cat > railway.json << 'CONFIG'
{
"$schema": "https://railway.app/railway.schema.json",
"build": {
"builder": "NIXPACKS"
},
"deploy": {
"startCommand": "node web-server.js",
"restartPolicyType": "ON_FAILURE",
"restartPolicyMaxRetries": 10
}
}
CONFIG
echo "📦 Railway config created"
echo ""
echo "🚀 Deploy with:"
echo " railway up"
echo ""
echo "🌐 After deployment, set GATEWAY_URL in all sites:"
echo " GATEWAY_URL=https://copilot-gateway-production.up.railway.app"

73
src/gateway/upstream/integrations/route.ts
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@@ -1,73 +0,0 @@
// BlackRoad Copilot Gateway Integration
// Add to: /app/api/gateway/[...path]/route.ts
import { NextRequest, NextResponse } from 'next/server'
const GATEWAY_URL = process.env.GATEWAY_URL || 'http://localhost:3030'
export async function GET(
request: NextRequest,
{ params }: { params: { path: string[] } }
) {
const path = params.path.join('/')
const searchParams = request.nextUrl.searchParams
const gatewayUrl = `${GATEWAY_URL}/api/${path}?${searchParams}`
try {
const response = await fetch(gatewayUrl, {
headers: {
'X-Gateway-Client': request.headers.get('host') || 'unknown',
'X-Gateway-Timestamp': new Date().toISOString()
}
})
const data = await response.json()
return NextResponse.json(data, {
headers: {
'X-Gateway-Response': 'true',
'X-Gateway-Version': '2.0.0'
}
})
} catch (error) {
console.error('Gateway error:', error)
return NextResponse.json(
{
success: false,
error: 'Gateway unavailable',
message: error instanceof Error ? error.message : 'Unknown error'
},
{ status: 503 }
)
}
}
export async function POST(
request: NextRequest,
{ params }: { params: { path: string[] } }
) {
const path = params.path.join('/')
const body = await request.json()
const gatewayUrl = `${GATEWAY_URL}/api/${path}`
try {
const response = await fetch(gatewayUrl, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'X-Gateway-Client': request.headers.get('host') || 'unknown'
},
body: JSON.stringify(body)
})
const data = await response.json()
return NextResponse.json(data)
} catch (error) {
return NextResponse.json(
{ error: 'Gateway unavailable' },
{ status: 503 }
)
}
}

48
src/gateway/upstream/layers/api-instance.js
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@@ -1,48 +0,0 @@
// API Instance - represents a single API endpoint
export class ApiInstance {
constructor(endpoint, provider) {
this.endpoint = endpoint
this.provider = provider
this.healthy = true
this.load = 0 // Active requests
this.avgLatency = 0
this.totalRequests = 0
this.successfulRequests = 0
this.lastHealthCheck = null
}
get successRate() {
return this.totalRequests > 0
? this.successfulRequests / this.totalRequests
: 0
}
recordRequest(latency, success) {
this.totalRequests++
if (success) this.successfulRequests++
// Update average latency (exponential moving average)
this.avgLatency = this.avgLatency * 0.9 + latency * 0.1
}
incrementLoad() {
this.load++
}
decrementLoad() {
this.load = Math.max(0, this.load - 1)
}
async checkHealth() {
try {
const response = await fetch(`${this.endpoint}/api/tags`)
this.healthy = response.ok
this.lastHealthCheck = Date.now()
return this.healthy
} catch (error) {
this.healthy = false
this.lastHealthCheck = Date.now()
return false
}
}
}

106
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@@ -1,106 +0,0 @@
// API Map - maps model names to provider instances
import { ApiProvider } from './api-provider.js'
import { ApiInstance } from './api-instance.js'
export class ApiMap {
constructor() {
this.providers = new Map() // provider name -> ApiProvider
this.modelMap = new Map() // model name -> provider name
}
registerProvider(name, type, config) {
const provider = new ApiProvider(name, type, config)
this.providers.set(name, provider)
return provider
}
addInstance(providerName, endpoint) {
const provider = this.providers.get(providerName)
if (!provider) {
throw new Error(`Provider ${providerName} not registered`)
}
const instance = new ApiInstance(endpoint, provider)
provider.addInstance(instance)
return instance
}
mapModel(modelName, providerName) {
this.modelMap.set(modelName, providerName)
}
async resolveModel(modelName, strategy = 'least-loaded') {
// Step 1: Model name -> Provider
const providerName = this.modelMap.get(modelName)
if (!providerName) {
throw new Error(`No provider mapped for model: ${modelName}`)
}
// Step 2: Provider -> Provider instance
const provider = this.providers.get(providerName)
if (!provider) {
throw new Error(`Provider ${providerName} not found`)
}
// Step 3: Select API instance
const instance = await provider.selectInstance(strategy)
if (!instance) {
throw new Error(`No healthy instances for provider: ${providerName}`)
}
return {
modelName,
provider: providerName,
instance: instance.endpoint,
load: instance.load,
latency: instance.avgLatency,
successRate: instance.successRate
}
}
async healthCheck() {
const results = []
for (const [name, provider] of this.providers) {
for (const instance of provider.instances) {
const healthy = await instance.checkHealth()
results.push({
provider: name,
endpoint: instance.endpoint,
healthy,
load: instance.load,
avgLatency: instance.avgLatency,
successRate: instance.successRate
})
}
}
return results
}
getStats() {
const stats = {
providers: this.providers.size,
models: this.modelMap.size,
instances: 0,
healthyInstances: 0,
totalLoad: 0,
avgLatency: 0
}
for (const provider of this.providers.values()) {
stats.instances += provider.instances.length
const healthy = provider.getHealthyInstances()
stats.healthyInstances += healthy.length
for (const instance of provider.instances) {
stats.totalLoad += instance.load
stats.avgLatency += instance.avgLatency
}
}
if (stats.instances > 0) {
stats.avgLatency = stats.avgLatency / stats.instances
}
return stats
}
}

34
src/gateway/upstream/layers/api-provider.js
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@@ -1,34 +0,0 @@
// API Provider layer - abstracts provider-specific APIs
export class ApiProvider {
constructor(name, type, config) {
this.name = name // 'BlackRoad AI'
this.type = type // 'ollama', 'openai', 'anthropic', etc.
this.config = config
this.instances = [] // Multiple API instances
this.roundRobinIndex = 0
}
addInstance(instance) {
this.instances.push(instance)
}
getHealthyInstances() {
return this.instances.filter(i => i.healthy)
}
async selectInstance(strategy = 'round-robin') {
const healthy = this.getHealthyInstances()
if (healthy.length === 0) return null
switch (strategy) {
case 'round-robin':
return healthy[this.roundRobinIndex++ % healthy.length]
case 'least-loaded':
return healthy.reduce((a, b) => a.load < b.load ? a : b)
case 'fastest':
return healthy.reduce((a, b) => a.avgLatency < b.avgLatency ? a : b)
default:
return healthy[0]
}
}
}

154
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// Route Engine - orchestrates the complete routing flow
import { ApiMap } from './api-map.js'
import { readFile } from 'fs/promises'
import { OllamaClient } from '../models/ollama-client.js'
export class RouteEngine {
constructor() {
this.apiMap = new ApiMap()
this.registry = null
this.routingHistory = []
}
async initialize() {
// Load model registry
const data = await readFile('./models/registry.json', 'utf-8')
this.registry = JSON.parse(data)
// Register BlackRoad AI provider
this.apiMap.registerProvider(
'BlackRoad AI',
'ollama',
{ type: 'ollama', version: '0.1.0' }
)
// Add instances (can add multiple for load balancing)
const endpoints = [
process.env.BLACKROAD_AI_ENDPOINT || process.env.OLLAMA_ENDPOINT || 'http://localhost:11434',
// Add more instances: 'http://cecilia:11434', 'http://lucidia:11434', etc.
]
for (const endpoint of endpoints) {
this.apiMap.addInstance('BlackRoad AI', endpoint)
}
// Map all models to BlackRoad AI provider
for (const model of this.registry.models) {
this.apiMap.mapModel(model.name, 'BlackRoad AI')
}
console.error(`🗺️ Route engine initialized with ${endpoints.length} instance(s)`)
}
async route(request, classification) {
const startTime = Date.now()
// Step 1: Select best model based on classification
const modelName = await this.selectModel(classification)
// Step 2-7: Model name -> API -> Provider -> Instance -> Route -> BlackRoad
const resolution = await this.apiMap.resolveModel(modelName, 'least-loaded')
// Step 8: Execute request
const instance = resolution.instance
const client = new OllamaClient(instance)
// Track load
const provider = this.apiMap.providers.get(resolution.provider)
const apiInstance = provider.instances.find(i => i.endpoint === instance)
apiInstance.incrementLoad()
try {
const result = await client.generate(modelName, request.prompt, request.options)
const latency = Date.now() - startTime
// Record success
apiInstance.recordRequest(latency, result.success)
apiInstance.decrementLoad()
// Log routing decision
this.logRoute({
timestamp: new Date().toISOString(),
request: request.prompt.substring(0, 100),
intent: classification.intent,
confidence: classification.confidence,
modelSelected: modelName,
provider: resolution.provider,
instance: resolution.instance,
latency,
success: result.success
})
return {
success: result.success,
model: modelName,
provider: resolution.provider,
instance: resolution.instance,
response: result.response,
latency,
load: resolution.load
}
} catch (error) {
const latency = Date.now() - startTime
apiInstance.recordRequest(latency, false)
apiInstance.decrementLoad()
// Log failure
this.logRoute({
timestamp: new Date().toISOString(),
request: request.prompt.substring(0, 100),
intent: classification.intent,
modelSelected: modelName,
provider: resolution.provider,
instance: resolution.instance,
latency,
success: false,
error: error.message
})
throw error
}
}
async selectModel(classification) {
// Try each preferred model in order
for (const modelName of classification.models) {
const model = this.registry.models.find(m => m.name === modelName)
if (!model) continue
// Check if model is available
try {
await this.apiMap.resolveModel(modelName)
return modelName
} catch (error) {
continue // Try next model
}
}
// Fallback to default
return this.registry.fallback
}
logRoute(decision) {
this.routingHistory.push(decision)
// Keep last 1000 decisions in memory
if (this.routingHistory.length > 1000) {
this.routingHistory.shift()
}
}
getStats() {
const apiStats = this.apiMap.getStats()
return {
...apiStats,
totalRoutes: this.routingHistory.length,
recentRoutes: this.routingHistory.slice(-10)
}
}
async healthCheck() {
return await this.apiMap.healthCheck()
}
}

86
src/gateway/upstream/learning/adaptive-router.js
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@@ -1,86 +0,0 @@
// Adaptive Router
// Uses performance learning to make smarter routing decisions
import { PerformanceLearner } from './performance-learner.js'
export class AdaptiveRouter {
constructor(routeEngine) {
this.routeEngine = routeEngine
this.learner = new PerformanceLearner()
this.adaptiveMode = true
this.initialized = false
}
async initialize() {
await this.learner.initialize()
this.initialized = true
}
async route(intent, prompt, options = {}) {
if (!this.initialized) await this.initialize()
const startTime = Date.now()
try {
let models = options.models || []
if (this.adaptiveMode && models.length > 0) {
models = this.reorderByPerformance(intent, models)
}
const result = await this.routeEngine.route(intent, prompt, {
...options,
models
})
const latency = Date.now() - startTime
await this.learner.recordRequest(intent, result.model, true, latency, {
provider: result.provider,
instance: result.instance
})
return result
} catch (error) {
const latency = Date.now() - startTime
const attemptedModel = options.models?.[0] || 'unknown'
await this.learner.recordRequest(intent, attemptedModel, false, latency, {
error: error.message
})
throw error
}
}
reorderByPerformance(intent, models) {
const scored = models.map(model => ({
model,
score: this.learner.getPerformanceScore(intent, model)
}))
scored.sort((a, b) => b.score - a.score)
return scored.map(s => s.model)
}
getBestModel(intent) {
return this.learner.getBestModelForIntent(intent)
}
getRecommendations(intent, count = 3) {
return this.learner.getRecommendedModels(intent, count)
}
getStats() {
return {
adaptiveMode: this.adaptiveMode,
learning: this.learner.getStats()
}
}
enableAdaptiveMode() {
this.adaptiveMode = true
}
disableAdaptiveMode() {
this.adaptiveMode = false
}
}

218
src/gateway/upstream/learning/performance-learner.js
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@@ -1,218 +0,0 @@
// Performance Learning System
// Tracks model performance and learns from routing decisions
import { readFile, writeFile, mkdir } from 'fs/promises'
import { existsSync } from 'fs'
import { dirname, join } from 'path'
import { fileURLToPath } from 'url'
const __filename = fileURLToPath(import.meta.url)
const __dirname = dirname(__filename)
export class PerformanceLearner {
constructor(dataFile = null) {
this.dataFile = dataFile || join(__dirname, '../data/performance-history.json')
this.metricsFile = join(__dirname, '../data/performance-metrics.json')
this.history = []
this.metrics = {}
this.initialized = false
}
async initialize() {
// Ensure data directory exists
const dataDir = dirname(this.dataFile)
if (!existsSync(dataDir)) {
await mkdir(dataDir, { recursive: true })
}
this.history = await this.loadHistory()
this.metrics = await this.loadMetrics()
this.initialized = true
}
async loadHistory() {
try {
if (existsSync(this.dataFile)) {
const data = await readFile(this.dataFile, 'utf8')
return JSON.parse(data)
}
} catch (error) {
console.error('Failed to load performance history:', error)
}
return []
}
async loadMetrics() {
try {
if (existsSync(this.metricsFile)) {
const data = await readFile(this.metricsFile, 'utf8')
return JSON.parse(data)
}
} catch (error) {
console.error('Failed to load metrics:', error)
}
return {}
}
async saveHistory() {
try {
await writeFile(this.dataFile, JSON.stringify(this.history, null, 2))
} catch (error) {
console.error('Failed to save history:', error)
}
}
async saveMetrics() {
try {
await writeFile(this.metricsFile, JSON.stringify(this.metrics, null, 2))
} catch (error) {
console.error('Failed to save metrics:', error)
}
}
async recordRequest(intent, model, success, latency, details = {}) {
if (!this.initialized) await this.initialize()
const record = {
timestamp: new Date().toISOString(),
intent,
model,
success,
latency,
...details
}
this.history.push(record)
// Keep only last 1000 records
if (this.history.length > 1000) {
this.history = this.history.slice(-1000)
}
await this.saveHistory()
await this.updateMetrics(intent, model, success, latency)
}
async updateMetrics(intent, model, success, latency) {
const key = `${intent}:${model}`
if (!this.metrics[key]) {
this.metrics[key] = {
intent,
model,
totalRequests: 0,
successfulRequests: 0,
failedRequests: 0,
totalLatency: 0,
avgLatency: 0,
minLatency: Infinity,
maxLatency: 0,
successRate: 0,
lastUsed: null
}
}
const m = this.metrics[key]
m.totalRequests++
if (success) {
m.successfulRequests++
} else {
m.failedRequests++
}
m.totalLatency += latency
m.avgLatency = m.totalLatency / m.totalRequests
m.minLatency = Math.min(m.minLatency, latency)
m.maxLatency = Math.max(m.maxLatency, latency)
m.successRate = m.successfulRequests / m.totalRequests
m.lastUsed = new Date().toISOString()
await this.saveMetrics()
}
getMetricsForIntent(intent) {
return Object.values(this.metrics)
.filter(m => m.intent === intent)
.sort((a, b) => {
if (Math.abs(a.successRate - b.successRate) > 0.1) {
return b.successRate - a.successRate
}
return a.avgLatency - b.avgLatency
})
}
getBestModelForIntent(intent) {
const metrics = this.getMetricsForIntent(intent)
const viable = metrics.filter(m => m.successRate > 0.7)
return viable.length > 0 ? viable[0].model : null
}
getRecommendedModels(intent, count = 3) {
const metrics = this.getMetricsForIntent(intent)
return metrics
.filter(m => m.successRate > 0.5)
.slice(0, count)
.map(m => ({
model: m.model,
successRate: m.successRate,
avgLatency: m.avgLatency,
confidence: this.calculateConfidence(m)
}))
}
calculateConfidence(metrics) {
const minRequests = 10
const requestFactor = Math.min(metrics.totalRequests / minRequests, 1)
return metrics.successRate * requestFactor
}
getPerformanceScore(intent, model) {
const key = `${intent}:${model}`
const m = this.metrics[key]
if (!m || m.totalRequests < 5) {
return 0.5
}
const successScore = m.successRate
const latencyScore = 1 - Math.min(m.avgLatency / 5000, 1)
return (successScore * 0.7) + (latencyScore * 0.3)
}
getStats() {
const totalRequests = this.history.length
const intents = [...new Set(this.history.map(r => r.intent))]
const models = [...new Set(this.history.map(r => r.model))]
const successRate = this.history.filter(r => r.success).length / totalRequests || 0
return {
totalRequests,
uniqueIntents: intents.length,
uniqueModels: models.length,
overallSuccessRate: successRate,
avgLatency: this.history.reduce((sum, r) => sum + r.latency, 0) / totalRequests || 0,
topPerformers: this.getTopPerformers(5)
}
}
getTopPerformers(count = 5) {
return Object.values(this.metrics)
.filter(m => m.totalRequests >= 5)
.sort((a, b) => {
const scoreA = this.getPerformanceScore(a.intent, a.model)
const scoreB = this.getPerformanceScore(b.intent, b.model)
return scoreB - scoreA
})
.slice(0, count)
.map(m => ({
intent: m.intent,
model: m.model,
successRate: m.successRate,
avgLatency: m.avgLatency,
requests: m.totalRequests,
score: this.getPerformanceScore(m.intent, m.model)
}))
}
}

86
src/gateway/upstream/models/ollama-client.js
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@@ -1,86 +0,0 @@
// BlackRoad AI client (Ollama-powered)
// Ollama IS BlackRoad - this is the BlackRoad AI fleet
export class OllamaClient {
constructor(endpoint = 'http://localhost:11434') {
this.endpoint = endpoint
this.timeout = 30000
this.provider = 'BlackRoad AI (Ollama)'
}
async generate(model, prompt, options = {}) {
try {
const response = await fetch(`${this.endpoint}/api/generate`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
model,
prompt,
stream: false,
...options
}),
signal: AbortSignal.timeout(this.timeout)
})
if (!response.ok) {
throw new Error(`BlackRoad AI error: ${response.status} ${response.statusText}`)
}
const data = await response.json()
return {
success: true,
response: data.response,
model,
context: data.context,
eval_count: data.eval_count,
eval_duration: data.eval_duration
}
} catch (error) {
return {
success: false,
error: error.message,
model
}
}
}
async listModels() {
try {
const response = await fetch(`${this.endpoint}/api/tags`)
if (!response.ok) return { success: false, models: [] }
const data = await response.json()
return {
success: true,
models: data.models.map(m => m.name)
}
} catch (error) {
return { success: false, models: [], error: error.message }
}
}
async checkHealth() {
try {
const response = await fetch(`${this.endpoint}/api/tags`, {
signal: AbortSignal.timeout(5000)
})
return response.ok
} catch {
return false
}
}
async showModel(model) {
try {
const response = await fetch(`${this.endpoint}/api/show`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ name: model })
})
if (!response.ok) return null
return await response.json()
} catch {
return null
}
}
}

53
src/gateway/upstream/models/registry.json
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@@ -1,53 +0,0 @@
{
"provider": "BlackRoad AI (Ollama-powered)",
"note": "All models run on BlackRoad infrastructure. Ollama IS BlackRoad.",
"models": [
{
"name": "qwen2.5-coder:7b",
"provider": "BlackRoad AI",
"capabilities": ["code_analysis", "code_refactoring", "code_review", "testing", "templates"],
"priority": 1,
"description": "Best for code analysis, templates, and refactoring",
"context_window": 32768,
"avg_latency_ms": 800
},
{
"name": "deepseek-coder:6.7b",
"provider": "BlackRoad AI",
"capabilities": ["code_generation", "debugging", "refactoring", "new_features"],
"priority": 1,
"description": "Best for code generation and new features",
"context_window": 16384,
"avg_latency_ms": 750
},
{
"name": "llama3:8b",
"provider": "BlackRoad AI",
"capabilities": ["documentation", "explanation", "planning", "architecture", "general"],
"priority": 2,
"description": "Best for documentation and general reasoning",
"context_window": 8192,
"avg_latency_ms": 600
},
{
"name": "mistral:7b",
"provider": "BlackRoad AI",
"capabilities": ["planning", "reasoning", "quick_tasks", "architecture"],
"priority": 2,
"description": "Fast reasoning and planning",
"context_window": 8192,
"avg_latency_ms": 550
},
{
"name": "codellama:7b",
"provider": "BlackRoad AI",
"capabilities": ["code_review", "code_analysis", "debugging", "understanding"],
"priority": 2,
"description": "Code understanding and review",
"context_window": 16384,
"avg_latency_ms": 700
}
],
"fallback": "llama3:8b",
"default": "qwen2.5-coder:7b"
}

28
src/gateway/upstream/package.json
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@@ -1,28 +0,0 @@
{
"name": "@blackroad-os/copilot-agent-gateway",
"version": "0.1.0",
"description": "Intelligent routing gateway for GitHub Copilot CLI to local AI agents",
"type": "module",
"main": "server.js",
"scripts": {
"start": "node server.js",
"dev": "node --watch server.js",
"test": "node test.js"
},
"keywords": [
"copilot",
"mcp",
"ai",
"gateway",
"ollama"
],
"author": "BlackRoad OS",
"license": "SEE LICENSE IN ../BLACKROAD_PROPRIETARY_LICENSE.md",
"dependencies": {
"@modelcontextprotocol/sdk": "^0.5.0",
"express": "^5.2.1"
},
"engines": {
"node": ">=20.0.0"
}
}

92
src/gateway/upstream/router.js
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@@ -1,92 +0,0 @@
// Intelligent routing engine for BlackRoad AI
import { readFile } from 'fs/promises'
import { OllamaClient } from './models/ollama-client.js'
export class Router {
constructor(blackroadEndpoint) {
this.registry = null
this.client = new OllamaClient(blackroadEndpoint)
this.activeRequests = new Map() // Track load per model
this.provider = 'BlackRoad AI'
}
async load() {
const data = await readFile('./models/registry.json', 'utf-8')
this.registry = JSON.parse(data)
}
async selectModel(intent, preferredModels) {
// Try each preferred model in order
for (const modelName of preferredModels) {
const model = this.registry.models.find(m => m.name === modelName)
if (!model) continue
// Check if model is available
const available = await this.isModelAvailable(modelName)
if (available) {
return modelName
}
}
// Fallback to default
return this.registry.fallback
}
async isModelAvailable(modelName) {
// Simple availability check - can be enhanced with health monitoring
const models = await this.client.listModels()
return models.success && models.models.includes(modelName)
}
async route(request, classification) {
const startTime = Date.now()
// Select best available model
const model = await this.selectModel(
classification.intent,
classification.models
)
// Track active request
const requestId = `${model}-${Date.now()}`
this.activeRequests.set(requestId, { model, startTime })
try {
// Generate response
const result = await this.client.generate(model, request)
const duration = Date.now() - startTime
// Clean up tracking
this.activeRequests.delete(requestId)
return {
success: result.success,
response: result.response,
model,
intent: classification.intent,
confidence: classification.confidence,
duration_ms: duration,
error: result.error
}
} catch (error) {
this.activeRequests.delete(requestId)
return {
success: false,
error: error.message,
model,
intent: classification.intent,
duration_ms: Date.now() - startTime
}
}
}
getLoadStats() {
const stats = {}
for (const [_, req] of this.activeRequests) {
stats[req.model] = (stats[req.model] || 0) + 1
}
return stats
}
}

226
src/gateway/upstream/server-v2.js
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@@ -1,226 +0,0 @@
#!/usr/bin/env node
// BlackRoad Copilot Gateway v2 - Multi-layer routing architecture
import { Server } from '@modelcontextprotocol/sdk/server/index.js'
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'
import {
CallToolRequestSchema,
ListToolsRequestSchema
} from '@modelcontextprotocol/sdk/types.js'
import { RequestClassifier } from './classifier.js'
import { RouteEngine } from './layers/route-engine.js'
// Initialize components
const classifier = new RequestClassifier()
const routeEngine = new RouteEngine()
// Create MCP server
const server = new Server(
{
name: 'blackroad-gateway',
version: '2.0.0'
},
{
capabilities: {
tools: {}
}
}
)
// Load classifier rules and initialize route engine
await classifier.load()
await routeEngine.initialize()
// Tool: route_request - intelligent routing with multi-layer architecture
server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [
{
name: 'route_request',
description: 'Route a request through BlackRoad AI multi-layer architecture. Model name -> API -> Provider -> Instance -> Route -> BlackRoad.',
inputSchema: {
type: 'object',
properties: {
prompt: {
type: 'string',
description: 'The prompt/request to route'
},
intent: {
type: 'string',
description: 'Optional: Specify intent (code_generation, debugging, etc.)',
enum: ['code_generation', 'code_analysis', 'code_refactoring', 'debugging', 'documentation', 'architecture', 'testing', 'general']
},
options: {
type: 'object',
description: 'Optional: Model-specific options',
properties: {
temperature: { type: 'number' },
max_tokens: { type: 'number' }
}
}
},
required: ['prompt']
}
},
{
name: 'list_models',
description: 'List all available models in BlackRoad AI fleet',
inputSchema: {
type: 'object',
properties: {}
}
},
{
name: 'gateway_stats',
description: 'Get gateway statistics including routing history, instance health, and performance metrics',
inputSchema: {
type: 'object',
properties: {}
}
},
{
name: 'health_check',
description: 'Check health of all API instances across providers',
inputSchema: {
type: 'object',
properties: {}
}
}
]
}))
// Tool handlers
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params
try {
if (name === 'route_request') {
// Step 1: Classify intent (if not provided)
let classification
if (args.intent) {
// Use provided intent
const routingRules = classifier.routingRules
const intentRule = routingRules.intents[args.intent]
classification = {
intent: args.intent,
confidence: 1.0,
models: intentRule.models,
description: intentRule.description
}
} else {
// Auto-classify
classification = await classifier.classify(args.prompt)
}
// Step 2-8: Route through multi-layer architecture
const result = await routeEngine.route(
{
prompt: args.prompt,
options: args.options || {}
},
classification
)
return {
content: [
{
type: 'text',
text: JSON.stringify({
success: true,
routing: {
intent: classification.intent,
confidence: classification.confidence,
model: result.model,
provider: result.provider,
instance: result.instance,
latency: result.latency,
load: result.load
},
response: result.response
}, null, 2)
}
]
}
}
if (name === 'list_models') {
const models = []
for (const model of routeEngine.registry.models) {
models.push({
name: model.name,
provider: model.provider,
capabilities: model.capabilities,
priority: model.priority
})
}
return {
content: [
{
type: 'text',
text: JSON.stringify({
success: true,
provider: routeEngine.registry.provider,
models
}, null, 2)
}
]
}
}
if (name === 'gateway_stats') {
const stats = routeEngine.getStats()
return {
content: [
{
type: 'text',
text: JSON.stringify({
success: true,
stats
}, null, 2)
}
]
}
}
if (name === 'health_check') {
const health = await routeEngine.healthCheck()
return {
content: [
{
type: 'text',
text: JSON.stringify({
success: true,
instances: health
}, null, 2)
}
]
}
}
throw new Error(`Unknown tool: ${name}`)
} catch (error) {
return {
content: [
{
type: 'text',
text: JSON.stringify({
success: false,
error: error.message
}, null, 2)
}
],
isError: true
}
}
})
// Start server
const transport = new StdioServerTransport()
await server.connect(transport)
console.error('🌌 BlackRoad Copilot Gateway v2 running on stdio')
console.error(`🤖 BlackRoad AI endpoint: ${process.env.BLACKROAD_AI_ENDPOINT || process.env.OLLAMA_ENDPOINT || 'http://localhost:11434'}`)
console.error('📡 Multi-layer routing: Model -> API -> Provider -> Instance -> Route -> BlackRoad')
console.error('🗺️ Route engine ready with intelligent load balancing')

316
src/gateway/upstream/server.js
View File

@@ -1,316 +0,0 @@
#!/usr/bin/env node
// BlackRoad Copilot Agent Gateway - MCP Server
// Routes Copilot CLI requests to optimal local AI agents
import { Server } from '@modelcontextprotocol/sdk/server/index.js'
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js'
import { ListToolsRequestSchema, CallToolRequestSchema } from '@modelcontextprotocol/sdk/types.js'
import { RequestClassifier } from './classifier.js'
import { Router } from './router.js'
import { writeFile, mkdir } from 'fs/promises'
import { homedir } from 'os'
import { join } from 'path'
const BLACKROAD_AI_ENDPOINT = process.env.OLLAMA_ENDPOINT || process.env.BLACKROAD_AI_ENDPOINT || 'http://localhost:11434'
const CONFIG_DIR = join(homedir(), '.blackroad', 'copilot-gateway')
const HISTORY_FILE = join(CONFIG_DIR, 'routing-history.jsonl')
// BlackRoad OS Unified Banner - injected into all AI providers
const BLACKROAD_BANNER = `
═══════════════════════════════════════════════════════════════
YOU ARE RUNNING UNDER BLACKROAD OS
This is not your provider's environment. This is BlackRoad.
• 15 GitHub orgs, 1,085 repos, 205 Cloudflare projects
• 8 devices, 52 TOPS AI compute, full mesh network
• Route: ${BLACKROAD_AI_ENDPOINT}
• Cloudflare is the pipe. BlackRoad is root.
═══════════════════════════════════════════════════════════════
`
class GatewayServer {
constructor() {
this.server = new Server(
{
name: 'blackroad-copilot-gateway',
version: '0.1.0'
},
{
capabilities: {
tools: {}
}
}
)
this.classifier = new RequestClassifier()
this.router = new Router(BLACKROAD_AI_ENDPOINT)
this.firstResponse = true // Track to show banner once per session
this.setupHandlers()
this.setupErrorHandling()
}
setupHandlers() {
// List available tools
this.server.setRequestHandler(ListToolsRequestSchema, async () => ({
tools: [
{
name: 'route_request',
description: 'Route a request to the optimal local AI agent based on intent',
inputSchema: {
type: 'object',
properties: {
request: {
type: 'string',
description: 'The user request or prompt to process'
}
},
required: ['request']
}
},
{
name: 'list_models',
description: 'List all available AI models in the BlackRoad fleet',
inputSchema: {
type: 'object',
properties: {}
}
},
{
name: 'model_status',
description: 'Check health and availability of AI models',
inputSchema: {
type: 'object',
properties: {
model: {
type: 'string',
description: 'Model name to check (optional, checks all if omitted)'
}
}
}
},
{
name: 'gateway_stats',
description: 'Get gateway statistics and performance metrics',
inputSchema: {
type: 'object',
properties: {}
}
}
]
}))
// Handle tool calls
this.server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params
switch (name) {
case 'route_request':
return await this.handleRouteRequest(args.request)
case 'list_models':
return await this.handleListModels()
case 'model_status':
return await this.handleModelStatus(args.model)
case 'gateway_stats':
return await this.handleGatewayStats()
default:
throw new Error(`Unknown tool: ${name}`)
}
})
}
async handleRouteRequest(request) {
try {
// Classify request intent
const classification = this.classifier.classify(request)
// Route to optimal model
const result = await this.router.route(request, classification)
// Log to history
await this.logRouting({
timestamp: new Date().toISOString(),
request: request.substring(0, 100),
classification,
result: {
model: result.model,
success: result.success,
duration_ms: result.duration_ms
}
})
if (result.success) {
// Inject BlackRoad banner on first response
const response = this.firstResponse ?
`${BLACKROAD_BANNER}\n${result.response}` :
result.response
this.firstResponse = false
return {
content: [
{
type: 'text',
text: response
}
],
metadata: {
model: result.model,
intent: result.intent,
confidence: result.confidence,
duration_ms: result.duration_ms,
provider: 'BlackRoad OS'
}
}
} else {
return {
content: [
{
type: 'text',
text: `Error: ${result.error}`
}
],
isError: true
}
}
} catch (error) {
return {
content: [
{
type: 'text',
text: `Gateway error: ${error.message}`
}
],
isError: true
}
}
}
async handleListModels() {
const result = await this.router.client.listModels()
if (result.success) {
const modelList = result.models.map(m => `• ${m}`).join('\n')
return {
content: [
{
type: 'text',
text: `Available models:\n${modelList}`
}
]
}
} else {
return {
content: [
{
type: 'text',
text: `Error listing models: ${result.error}`
}
],
isError: true
}
}
}
async handleModelStatus(modelName) {
const health = await this.router.client.checkHealth()
if (!health) {
return {
content: [
{
type: 'text',
text: `BlackRoad AI endpoint not reachable at ${BLACKROAD_AI_ENDPOINT}`
}
],
isError: true
}
}
if (modelName) {
const available = await this.router.isModelAvailable(modelName)
return {
content: [
{
type: 'text',
text: `BlackRoad AI Model ${modelName}: ${available ? '✅ Available' : '❌ Not available'}`
}
]
}
} else {
const models = await this.router.client.listModels()
const status = models.success ?
`✅ BlackRoad AI Fleet healthy\n${models.models.length} models available` :
'❌ BlackRoad AI error'
return {
content: [
{
type: 'text',
text: status
}
]
}
}
}
async handleGatewayStats() {
const loadStats = this.router.getLoadStats()
const statsText = Object.entries(loadStats)
.map(([model, count]) => `• ${model}: ${count} active`)
.join('\n') || 'No active requests'
return {
content: [
{
type: 'text',
text: `Gateway Statistics:\n${statsText}`
}
]
}
}
async logRouting(entry) {
try {
await mkdir(CONFIG_DIR, { recursive: true })
const line = JSON.stringify(entry) + '\n'
await writeFile(HISTORY_FILE, line, { flag: 'a' })
} catch (error) {
console.error('Failed to log routing:', error)
}
}
setupErrorHandling() {
this.server.onerror = (error) => {
console.error('[Gateway Error]', error)
}
process.on('SIGINT', async () => {
await this.server.close()
process.exit(0)
})
}
async run() {
// Load classifier and router
await this.classifier.load()
await this.router.load()
// Create config directory
await mkdir(CONFIG_DIR, { recursive: true })
const transport = new StdioServerTransport()
await this.server.connect(transport)
console.error('🌌 BlackRoad Copilot Gateway running on stdio')
console.error(`🤖 BlackRoad AI endpoint: ${BLACKROAD_AI_ENDPOINT}`)
console.error(`📡 Ollama is BlackRoad AI - all models are BlackRoad-powered`)
}
}
// Start server
const gateway = new GatewayServer()
gateway.run().catch(console.error)

170
src/gateway/upstream/web-server.js
View File

@@ -1,170 +0,0 @@
#!/usr/bin/env node
// BlackRoad Copilot Gateway - Web Dashboard
import express from 'express'
import { readFile } from 'fs/promises'
import { RouteEngine } from './layers/route-engine.js'
import { RequestClassifier } from './classifier.js'
import { AdaptiveRouter } from './learning/adaptive-router.js'
const app = express()
const port = process.env.PORT || 3030
// Initialize components
const classifier = new RequestClassifier()
const routeEngine = new RouteEngine()
const adaptiveRouter = new AdaptiveRouter(routeEngine)
await classifier.load()
await routeEngine.initialize()
await adaptiveRouter.initialize()
console.log('🤖 Adaptive learning enabled!')
// Serve static HTML dashboard
app.get('/', async (req, res) => {
const html = await readFile('./web/dashboard.html', 'utf-8')
res.send(html)
})
// API: Health check all instances
app.get('/api/health', async (req, res) => {
const health = await routeEngine.healthCheck()
res.json({ success: true, instances: health })
})
// API: Gateway statistics
app.get('/api/stats', async (req, res) => {
const stats = routeEngine.getStats()
res.json({ success: true, stats })
})
// API: List models
app.get('/api/models', async (req, res) => {
const models = routeEngine.registry.models.map(m => ({
name: m.name,
provider: m.provider,
capabilities: m.capabilities,
priority: m.priority,
description: m.description
}))
res.json({ success: true, models })
})
// API: Recent routing decisions
app.get('/api/routing-history', async (req, res) => {
const limit = parseInt(req.query.limit) || 50
const history = routeEngine.routingHistory.slice(-limit)
res.json({ success: true, history })
})
// API: Test route (for testing without Copilot CLI)
app.post('/api/test-route', express.json(), async (req, res) => {
try {
const { prompt, intent } = req.body
// Classify or use provided intent
let classification
if (intent) {
const intentRule = classifier.rules.intents[intent]
classification = {
intent,
confidence: 1.0,
models: intentRule.models,
description: intentRule.description
}
} else {
classification = classifier.classify(prompt)
}
// Route through adaptive router (learns from performance)
const result = await adaptiveRouter.route(
classification.intent,
prompt,
{ models: classification.models }
)
res.json({
success: true,
routing: {
intent: classification.intent,
confidence: classification.confidence,
model: result.model,
provider: result.provider,
instance: result.instance,
latency: result.latency,
load: result.load
},
response: result.response
})
} catch (error) {
res.status(500).json({
success: false,
error: error.message
})
}
})
// API: Learning statistics
app.get('/api/learning/stats', async (req, res) => {
const stats = adaptiveRouter.getStats()
res.json({ success: true, stats })
})
// API: Get recommendations for an intent
app.get('/api/learning/recommendations/:intent', async (req, res) => {
const { intent } = req.params
const count = parseInt(req.query.count) || 3
const recommendations = adaptiveRouter.getRecommendations(intent, count)
res.json({ success: true, intent, recommendations })
})
// API: Get best model for an intent
app.get('/api/learning/best/:intent', async (req, res) => {
const { intent } = req.params
const bestModel = adaptiveRouter.getBestModel(intent)
res.json({ success: true, intent, bestModel })
})
// API: Toggle adaptive mode
app.post('/api/learning/adaptive/:mode', async (req, res) => {
const { mode } = req.params
if (mode === 'on') {
adaptiveRouter.enableAdaptiveMode()
} else if (mode === 'off') {
adaptiveRouter.disableAdaptiveMode()
} else {
return res.status(400).json({
success: false,
error: 'Mode must be "on" or "off"'
})
}
res.json({
success: true,
adaptiveMode: adaptiveRouter.adaptiveMode
})
})
// BlackRoad OS Unified Banner
const BLACKROAD_BANNER = `
═══════════════════════════════════════════════════════════════
YOU ARE RUNNING UNDER BLACKROAD OS
Unified AI Gateway - All providers route through BlackRoad:
• Claude → ~/.claude/CLAUDE.md
• Codex → ~/.codex/AGENTS.md
• Copilot → ~/.copilot/agents/BLACKROAD.md
• Ollama → http://localhost:11434
BlackRoad orchestrates. AI executes.
═══════════════════════════════════════════════════════════════
`
app.listen(port, () => {
console.log(BLACKROAD_BANNER)
console.log(`🌐 BlackRoad Unified AI Gateway`)
console.log(`📊 Dashboard: http://localhost:${port}`)
console.log(`🤖 AI endpoint: ${process.env.BLACKROAD_AI_ENDPOINT || process.env.OLLAMA_ENDPOINT || 'http://localhost:11434'}`)
console.log(`🗺️ Multi-provider routing active (Claude, Codex, Copilot, Ollama)`)
})

440
src/gateway/upstream/web/dashboard.html
View File

@@ -1,440 +0,0 @@
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>BlackRoad Copilot Gateway</title>
<style>
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
background: linear-gradient(135deg, #0a0e27 0%, #1a1f3a 100%);
color: #e0e0e0;
padding: 20px;
min-height: 100vh;
}
.container {
max-width: 1400px;
margin: 0 auto;
}
header {
text-align: center;
padding: 40px 0;
border-bottom: 2px solid #ff1d6c;
margin-bottom: 40px;
}
h1 {
font-size: 48px;
background: linear-gradient(135deg, #ff1d6c, #f5a623);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
margin-bottom: 10px;
}
.tagline {
font-size: 18px;
color: #a0a0a0;
margin-bottom: 20px;
}
.status-bar {
display: flex;
gap: 20px;
justify-content: center;
margin-top: 20px;
}
.status-item {
background: rgba(255, 255, 255, 0.05);
padding: 15px 30px;
border-radius: 10px;
border: 1px solid rgba(255, 29, 108, 0.3);
}
.status-label {
font-size: 12px;
color: #a0a0a0;
text-transform: uppercase;
letter-spacing: 1px;
}
.status-value {
font-size: 24px;
font-weight: bold;
color: #ff1d6c;
margin-top: 5px;
}
.grid {
display: grid;
grid-template-columns: repeat(auto-fit, minmax(350px, 1fr));
gap: 20px;
margin-bottom: 40px;
}
.card {
background: rgba(255, 255, 255, 0.05);
border-radius: 15px;
padding: 25px;
border: 1px solid rgba(255, 29, 108, 0.2);
backdrop-filter: blur(10px);
}
.card h2 {
font-size: 20px;
margin-bottom: 20px;
color: #ff1d6c;
display: flex;
align-items: center;
gap: 10px;
}
.instance {
background: rgba(0, 0, 0, 0.3);
padding: 15px;
border-radius: 8px;
margin-bottom: 15px;
border-left: 4px solid #f5a623;
}
.instance.healthy {
border-left-color: #4caf50;
}
.instance.unhealthy {
border-left-color: #f44336;
}
.instance-header {
display: flex;
justify-content: space-between;
align-items: center;
margin-bottom: 10px;
}
.instance-endpoint {
font-family: 'Courier New', monospace;
font-size: 14px;
color: #f5a623;
}
.health-badge {
padding: 4px 12px;
border-radius: 12px;
font-size: 12px;
font-weight: bold;
text-transform: uppercase;
}
.health-badge.healthy {
background: #4caf50;
color: white;
}
.health-badge.unhealthy {
background: #f44336;
color: white;
}
.instance-metrics {
display: grid;
grid-template-columns: repeat(3, 1fr);
gap: 10px;
margin-top: 10px;
}
.metric {
text-align: center;
}
.metric-value {
font-size: 18px;
font-weight: bold;
color: #2979ff;
}
.metric-label {
font-size: 11px;
color: #a0a0a0;
text-transform: uppercase;
}
.model {
background: rgba(0, 0, 0, 0.3);
padding: 12px;
border-radius: 8px;
margin-bottom: 10px;
display: flex;
justify-content: space-between;
align-items: center;
}
.model-name {
font-family: 'Courier New', monospace;
color: #f5a623;
font-size: 14px;
}
.model-priority {
background: #ff1d6c;
color: white;
padding: 4px 10px;
border-radius: 8px;
font-size: 12px;
font-weight: bold;
}
.routing-entry {
background: rgba(0, 0, 0, 0.3);
padding: 12px;
border-radius: 8px;
margin-bottom: 10px;
border-left: 4px solid #2979ff;
}
.routing-entry.success {
border-left-color: #4caf50;
}
.routing-entry.failed {
border-left-color: #f44336;
}
.routing-header {
display: flex;
justify-content: space-between;
margin-bottom: 8px;
}
.routing-intent {
color: #f5a623;
font-weight: bold;
font-size: 13px;
}
.routing-latency {
color: #2979ff;
font-size: 12px;
}
.routing-request {
color: #a0a0a0;
font-size: 12px;
font-family: 'Courier New', monospace;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.refresh-btn {
background: linear-gradient(135deg, #ff1d6c, #f5a623);
color: white;
border: none;
padding: 12px 24px;
border-radius: 8px;
font-size: 14px;
font-weight: bold;
cursor: pointer;
margin-top: 20px;
transition: transform 0.2s;
}
.refresh-btn:hover {
transform: scale(1.05);
}
.refresh-btn:active {
transform: scale(0.95);
}
.last-update {
text-align: center;
color: #a0a0a0;
font-size: 12px;
margin-top: 10px;
}
@keyframes pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.5; }
}
.loading {
animation: pulse 1.5s infinite;
}
</style>
</head>
<body>
<div class="container">
<header>
<h1>🌌 BlackRoad Copilot Gateway</h1>
<p class="tagline">Multi-Layer Routing • Intelligent Load Balancing • BlackRoad AI</p>
<div class="status-bar" id="statusBar">
<div class="status-item">
<div class="status-label">Providers</div>
<div class="status-value">-</div>
</div>
<div class="status-item">
<div class="status-label">Instances</div>
<div class="status-value">-</div>
</div>
<div class="status-item">
<div class="status-label">Total Routes</div>
<div class="status-value">-</div>
</div>
<div class="status-item">
<div class="status-label">Avg Latency</div>
<div class="status-value">-</div>
</div>
</div>
</header>
<div class="grid">
<!-- Instance Health -->
<div class="card">
<h2>🏥 Instance Health</h2>
<div id="instanceHealth"></div>
</div>
<!-- Available Models -->
<div class="card">
<h2>🤖 Available Models</h2>
<div id="modelsList"></div>
</div>
<!-- Recent Routes -->
<div class="card">
<h2>📊 Recent Routing Decisions</h2>
<div id="routingHistory"></div>
</div>
</div>
<div style="text-align: center;">
<button class="refresh-btn" onclick="loadData()">🔄 Refresh Data</button>
<div class="last-update" id="lastUpdate"></div>
</div>
</div>
<script>
async function loadData() {
try {
// Load stats
const statsRes = await fetch('/api/stats')
const statsData = await statsRes.json()
updateStatusBar(statsData.stats)
// Load health
const healthRes = await fetch('/api/health')
const healthData = await healthRes.json()
updateInstanceHealth(healthData.instances)
// Load models
const modelsRes = await fetch('/api/models')
const modelsData = await modelsRes.json()
updateModelsList(modelsData.models)
// Load routing history
const historyRes = await fetch('/api/routing-history?limit=10')
const historyData = await historyRes.json()
updateRoutingHistory(historyData.history)
// Update timestamp
document.getElementById('lastUpdate').textContent =
`Last updated: ${new Date().toLocaleTimeString()}`
} catch (error) {
console.error('Error loading data:', error)
}
}
function updateStatusBar(stats) {
const items = document.querySelectorAll('#statusBar .status-item')
items[0].querySelector('.status-value').textContent = stats.providers
items[1].querySelector('.status-value').textContent =
`${stats.healthyInstances}/${stats.instances}`
items[2].querySelector('.status-value').textContent = stats.totalRoutes
items[3].querySelector('.status-value').textContent =
stats.avgLatency > 0 ? `${Math.round(stats.avgLatency)}ms` : '-'
}
function updateInstanceHealth(instances) {
const container = document.getElementById('instanceHealth')
container.innerHTML = instances.map(inst => `
<div class="instance ${inst.healthy ? 'healthy' : 'unhealthy'}">
<div class="instance-header">
<div class="instance-endpoint">${inst.endpoint}</div>
<div class="health-badge ${inst.healthy ? 'healthy' : 'unhealthy'}">
${inst.healthy ? '✓ Healthy' : '✗ Down'}
</div>
</div>
<div class="instance-metrics">
<div class="metric">
<div class="metric-value">${inst.load}</div>
<div class="metric-label">Load</div>
</div>
<div class="metric">
<div class="metric-value">${Math.round(inst.avgLatency)}ms</div>
<div class="metric-label">Latency</div>
</div>
<div class="metric">
<div class="metric-value">${Math.round(inst.successRate * 100)}%</div>
<div class="metric-label">Success</div>
</div>
</div>
</div>
`).join('')
}
function updateModelsList(models) {
const container = document.getElementById('modelsList')
container.innerHTML = models.map(model => `
<div class="model">
<div>
<div class="model-name">${model.name}</div>
<div style="font-size: 11px; color: #a0a0a0; margin-top: 4px;">
${model.description}
</div>
</div>
<div class="model-priority">P${model.priority}</div>
</div>
`).join('')
}
function updateRoutingHistory(history) {
const container = document.getElementById('routingHistory')
if (history.length === 0) {
container.innerHTML = '<div style="color: #a0a0a0; text-align: center;">No routing decisions yet</div>'
return
}
container.innerHTML = history.reverse().map(entry => `
<div class="routing-entry ${entry.success ? 'success' : 'failed'}">
<div class="routing-header">
<div class="routing-intent">${entry.intent}</div>
<div class="routing-latency">${entry.latency}ms</div>
</div>
<div class="routing-request">${entry.request}</div>
<div style="font-size: 11px; color: #a0a0a0; margin-top: 6px;">
${entry.modelSelected} @ ${entry.instance}
</div>
</div>
`).join('')
}
// Load data on page load
loadData()
// Auto-refresh every 5 seconds
setInterval(loadData, 5000)
</script>
</body>
</html>