Multi-Agent Systems

Multi-Agent Systems

import anthropic

client = anthropic.Anthropic()

def call_agent(role: str, system: str, task: str) -> str:
    resp = client.messages.create(
        model="claude-opus-4-5", max_tokens=2000,
        system=system,
        messages=[{"role":"user","content":task}]
    )
    return resp.content[0].text

# Specialised agents
PLANNER  = "You are a project planner. Break complex tasks into steps."
CODER    = "You are a senior Python developer. Write clean, tested code."
REVIEWER = "You are a code reviewer. Find bugs, security issues, and improvements."
TESTER   = "You are a QA engineer. Write comprehensive pytest test cases."

def software_pipeline(requirement: str) -> dict:
    plan     = call_agent("planner",  PLANNER,  requirement)
    code     = call_agent("coder",    CODER,    plan)
    review   = call_agent("reviewer", REVIEWER, code)
    revised  = call_agent("coder",    CODER,    code + "
Fix issues:
" + review)
    tests    = call_agent("tester",   TESTER,   revised)
    return {"plan":plan,"code":revised,"review":review,"tests":tests}

# Frameworks: AutoGen, CrewAI, LangGraph multi-agent