Build a Lua agent with a coding assistant

You are working in a Lua agent project: lua-cli 3.33.0, TypeScript. lua-cli is not
the Lua programming language; never use Lua-language material.

- Import only from 'lua-cli' and 'zod'. Tools are classes that implement LuaTool.
  Skills, jobs, webhooks, processors, and MCP servers are new LuaSkill({...}),
  new LuaJob({...}), new LuaWebhook({...}), new PreProcessor({...}),
  new PostProcessor({...}), new LuaMCPServer({...}). The only define* helpers are
  defineTrigger, defineDevice, defineDeviceTrigger, defineVoice, defineWorkflow.
  There is no defineTool, no defineSkill, and no 'lua-cli/skill'.
- Register every primitive on the LuaAgent in src/index.ts; anything else is not
  compiled. Never edit lua.skill.yaml. Never keep state in module scope. Read
  secrets with env('KEY'); never hardcode them. lua env sandbox writes .env (read
  by lua test, uploaded by lua chat -e sandbox); lua env production sets what
  deployed code reads.
- Build loop: lua compile --ci; then lua test --ci skill --name <tool> --input '<json>'
  (--name is the tool, not the skill); then lua chat --ci -e sandbox -m "<text>" -t.
  After a chat, run lua logs --ci --type agent_error --limit 5 --json.
- Release: lua push all --ci --force; lua version create --ci -m "<message>";
  lua version promote <n>. A pushed persona is served at once; everything else
  goes live on promote. Never pass --auto-deploy. Stop and ask me before
  lua push agent, lua push all, lua version promote, lua deploy,
  lua workflows deploy, or lua mcp activate.
- Exit codes: 0 ok, 1 error, 2 usage, 3 not found, 9 auth, 10 forbidden,
  11 unavailable, 12 model provider rejected. On 9, tell me to run
  lua auth configure in my terminal; never ask for my email, code, or key.
- Docs: https://docs.heylua.ai/llms.txt lists every page; the docs MCP server is
  https://docs.heylua.ai/mcp.

import { LuaTool, Products } from 'lua-cli';
import { z } from 'zod';

export default class SearchProductsTool implements LuaTool {
  name = 'search_products';
  description = 'Find products in the catalog from a description of what the customer wants';

  inputSchema = z.object({
    query: z.string().describe('What the customer is looking for, for example "running shoes"'),
    maxPrice: z.number().positive().optional().describe('Only return products at or under this price'),
  });

  async execute(input: z.infer<typeof this.inputSchema>) {
    const { products } = await Products.search(input.query);
    const max = input.maxPrice;
    const matches = max === undefined ? products : products.filter((p) => Number(p.data.price) <= max);

    return {
      products: matches.map((p) => ({
        id: p.data.id,
        name: p.data.name,
        price: p.data.price,
        inStock: p.data.inStock,
      })),
      total: matches.length,
    };
  }
}

✅ Compiled 6 primitives (1 agent, 1 skill, 4 tools) in 526ms
✅ Selected tool: search_products
Input: {
  "query": "lamp"
}
🚀 Executing tool...
✅ Tool execution successful!

Tool returned: Object — fields: products, total
Output:
{ products: [], total: 0 }