agents/
  lead-manager/
    index.ts          # Main agent entry
    tools.ts          # Tool definitions
    prompts.ts        # System prompts
    types.ts          # TypeScript types

import Anthropic from '@anthropic-ai/sdk';

const anthropic = new Anthropic();

interface Tool {
  name: string;
  description: string;
  input_schema: {
    type: 'object';
    properties: Record<string, unknown>;
    required: string[];
  };
}

const tools: Tool[] = [
  {
    name: 'tool_name',
    description: 'What this tool does',
    input_schema: {
      type: 'object',
      properties: {
        param: { type: 'string', description: 'Parameter description' }
      },
      required: ['param']
    }
  }
];

async function runAgent(userMessage: string) {
  const messages: Anthropic.MessageParam[] = [
    { role: 'user', content: userMessage }
  ];

  let response = await anthropic.messages.create({
    model: 'claude-sonnet-4-20250514',
    max_tokens: 4096,
    system: 'You are a helpful agent...',
    tools,
    messages
  });

  // Handle tool calls in a loop
  while (response.stop_reason === 'tool_use') {
    const toolUse = response.content.find(c => c.type === 'tool_use');
    if (!toolUse) break;

    const result = await handleToolCall(toolUse.name, toolUse.input);

    messages.push({ role: 'assistant', content: response.content });
    messages.push({
      role: 'user',
      content: [{
        type: 'tool_result',
        tool_use_id: toolUse.id,
        content: JSON.stringify(result)
      }]
    });

    response = await anthropic.messages.create({
      model: 'claude-sonnet-4-20250514',
      max_tokens: 4096,
      system: 'You are a helpful agent...',
      tools,
      messages
    });
  }

  return response.content;
}