Dividing and Conquering with Specialized Agents
As agents scale, giving a single model dozens of tools leads to context bloating and selection errors. The solution is specialized agents: one agent does code generation, another reviews, and a supervisor orchestrates the hand-offs.
Supervisor Router Pattern: Instead of agents talking directly, a coordinator model receives the request, decides which agent to delegate to, and manages the shared state.
Multi-Agent Python Blueprint
def supervisor_router(state):
# Determine next routing step based on agent completion state
if state["current_task_completed"]:
return "summarizer"
elif state["needs_code_fix"]:
return "coder"
return "reviewer"