智能體循環與工具執行

Iteration 0: LLM reads prompt + system prompt + tool definitions
             → Responds with text AND a tool call:
               {"tool": "check_stock", "arguments": {"sku": "ABC123"}}
             → Theo executes the tool, gets result

Iteration 1: LLM reads the tool result + previous context
             → Responds with text (no more tool calls)
             → Final response returned

const res = await theo.complete({
  prompt: "Check stock and reorder if low",
  tools: [/* ... */],
  max_iterations: 4,  // Limit to 4 tool calls
});

const res = await theo.complete({
  prompt: "Look up the customer and update their email",
  tools: [
    {
      name: "lookup_customer",
      description: "Search CRM for a customer by name or ID",
      input_schema: {
        type: "object",
        properties: {
          query: { type: "string" },
        },
        required: ["query"],
      },
    },
    {
      name: "update_customer",
      description: "Update a customer field",
      input_schema: {
        type: "object",
        properties: {
          customer_id: { type: "string" },
          field: { type: "string" },
          value: { type: "string" },
        },
        required: ["customer_id", "field", "value"],
      },
    },
  ],
});

{
  "tools_used": [
    { "name": "lookup_customer", "status": "success" },
    { "name": "update_customer", "status": "success" }
  ]
}