class OrderLookupAgent:
    def lookup_order(self, order_id: str) -> dict:
        messages = [{"role": "user", "content": f"Get essential details for order {order_id}"}]
        response = client.messages.create(
            model="claude-sonnet-4-5", max_tokens=1024,
            messages=messages, tools=[get_order_details_tool]
        )
        return extract_summary(response)  # Returns 50-100 tokens, not 2000+

class SupportAgent:
    def handle_issue(self, user_message: str):
        if needs_order_info(user_message):
            order_id = extract_order_id(user_message)
            order_summary = OrderLookupAgent().lookup_order(order_id)
            context = f"Order {order_id}: {order_summary['status']}, purchased {order_summary['date']}"
        # Main agent gets clean context

import asyncio
from anthropic import AsyncAnthropic

client = AsyncAnthropic()

async def research_topic(query: str) -> dict:
    facets = await lead_agent.decompose_query(query)
    tasks = [research_subagent(facet) for facet in facets]
    results = await asyncio.gather(*tasks)
    return await lead_agent.synthesize(results)

async def research_subagent(facet: str) -> dict:
    messages = [{"role": "user", "content": f"Research: {facet}"}]
    response = await client.messages.create(
        model="claude-sonnet-4-5", max_tokens=4096,
        messages=messages, tools=[web_search, read_document]
    )
    return extract_findings(response)

class CRMAgent:
    system_prompt = """You are a CRM specialist. You manage contacts,
    opportunities, and account records. Always verify record ownership
    before updates and maintain data integrity across related records."""
    tools = [crm_get_contacts, crm_create_opportunity]  # 8-10 CRM tools

class MarketingAgent:
    system_prompt = """You are a marketing automation specialist. You
    manage campaigns, lead scoring, and email sequences."""
    tools = [marketing_get_campaigns, marketing_create_lead]  # 8-10 tools

class OrchestratorAgent:
    def execute(self, user_request: str):
        response = client.messages.create(
            model="claude-sonnet-4-5", max_tokens=1024,
            system="""Route to appropriate specialist:
    - CRM: Contacts, opportunities, accounts, sales pipeline
    - Marketing: Campaigns, lead nurturing, email sequences""",
            messages=[{"role": "user", "content": user_request}],
            tools=[delegate_to_crm, delegate_to_marketing]
        )
        return response

class CodingAgent:
    def implement_feature(self, requirements: str) -> dict:
        response = client.messages.create(
            model="claude-sonnet-4-5", max_tokens=4096,
            messages=[{"role": "user", "content": f"Implement: {requirements}"}],
            tools=[read_file, write_file, list_directory]
        )
        return {"code": response.content, "files_changed": extract_files(response)}

class VerificationAgent:
    def verify_implementation(self, requirements: str, files_changed: list) -> dict:
        messages = [{"role": "user", "content": f"""
Requirements: {requirements}
Files changed: {files_changed}

Run the complete test suite and verify:
1. All existing tests pass
2. New functionality works as specified
3. No obvious errors or security issues

You MUST run: pytest --verbose
Only mark as PASSED if ALL tests pass with no failures.
"""}]
        response = client.messages.create(
            model="claude-sonnet-4-5", max_tokens=4096,
            messages=messages, tools=[run_tests, execute_code, read_file]
        )
        return {"passed": extract_pass_fail(response), "issues": extract_issues(response)}