export interface Env {  AI_SEARCH: AiSearchNamespace;}
export default {  async fetch(request, env): Promise<Response> {    // Create a dedicated AI Search instance for the tenant at runtime.    const instance = await env.AI_SEARCH.create({      id: 'tenant-a',    });
    // Upload a file and wait for it to finish indexing.    await instance.items.uploadAndPoll('handbook.pdf', file);
    // Search only that tenant's AI Search instance.    const results = await instance.search({      query: 'What does the handbook say about travel approvals?',    });
    return Response.json(results);  },} satisfies ExportedHandler<Env>;

from cloudflare import Cloudflare
client = Cloudflare()
# Upload and index content into an existing instance.item = client.aisearch.namespaces.instances.items.upload(    id="my-instance",    account_id=account_id,    name="default",    file=file,)
# Search the instance with a natural language query.results = client.aisearch.namespaces.instances.search(    id="my-instance",    account_id=account_id,    name="default",    query="How does AI Search handle uploaded content?",)

import '@cloudflare/ai-search-snippet';
export default function App() {  // Prebuilt search bar web component, wired to your AI Search endpoint  return (    <search-bar-snippet      apiUrl="https://<PUBLIC_ID>.search.ai.cloudflare.com/"      placeholder="Search..."      maxResults={50}      maxRenderResults={10}      show-url="true"      show-date="true"    />  );}

// Add AI Search to your MCP client config{  "mcpServers": {    "ai-search": {      "url": "https://<PUBLIC_ID>.search.ai.cloudflare.com/mcp",    },  },}