Backend Worker

interface Env {
  AI: any;                    // Workers AI binding
  VECTORIZE: VectorizeIndex;  // Vectorize index (768 dimensions)
  DB: D1Database;             // D1 SQLite database
  KV: KVNamespace;            // KV for caching and rate limiting
  metacogna_vault: R2Bucket;  // R2 bucket for document storage
  
  // Optional API Keys (secrets)
  GEMINI_API_KEY?: string;
  OPENAI_API_KEY?: string;
  ANTHROPIC_API_KEY?: string;
  
  // Optional Observability
  LANGFUSE_PUBLIC_KEY?: string;
  LANGFUSE_SECRET_KEY?: string;
  LANGFUSE_HOST?: string;
  API_BASE_URL?: string;
}

export default {
  async fetch(request: Request, env: Env): Promise<Response> {
    const url = new URL(request.url);
    const path = url.pathname;
    const method = request.method;
    
    // Route handlers
    if (path === '/api/auth/login') { /* ... */ }
    if (path === '/api/signup') { /* ... */ }
    if (path === '/api/ingest') { /* ... */ }
    if (path === '/api/search') { /* ... */ }
    if (path === '/api/chat') { /* ... */ }
    if (path === '/api/graph') { /* ... */ }
  }
};

function semanticChunk(
  text: string, 
  maxSize: number = 512, 
  overlap: number = 50
): string[] {
  // Split on sentence boundaries
  // Maintain overlap between chunks
  // Return array of chunks
}

async function checkRateLimit(
  kv: KVNamespace,
  userId: string,
  endpoint: string,
  maxRequests: number = 10,
  windowSeconds: number = 60
): Promise<{
  allowed: boolean;
  remaining: number;
  resetAt: number;
}>

const errorResponse = (msg: string, status = 500) => 
  jsonResponse({ error: msg, success: false }, status);

headers: {
  'Access-Control-Allow-Origin': '*',
  'Access-Control-Allow-Methods': 'GET, POST, OPTIONS',
  'Access-Control-Allow-Headers': 'Content-Type, Authorization',
}

name = "metacogna"
main = "src/index.ts"
compatibility_date = "2024-01-01"
compatibility_flags = ["nodejs_compat"]

routes = [
  { pattern = "parti.metacogna.ai/*", zone_name = "metacogna.ai" }
]

[ai]
binding = "AI"

[[vectorize]]
binding = "VECTORIZE"
index_name = "metacogna-index"

[[d1_databases]]
binding = "DB"
database_name = "metacogna-db"

[[r2_buckets]]
binding = "metacogna_vault"
bucket_name = "metacogna-vault"

[[kv_namespaces]]
binding = "KV"
id = "kv-namespace-id"

cd metacogna-rag/worker
bun wrangler deploy

cd metacogna-rag
bun run deploy:full