Multi-Agent Orchestration in Python: 7 Patterns That Actually Work
· 6 min read
Most "multi-agent" demos collapse into a for loop calling two LLMs. That works for a blog post and not much else. Real multi-agent systems need explicit control flow, shared state, and a way to debug when one specialist agent goes off the rails.
Here are seven orchestration patterns we see ship in production Python codebases, and when each one is the right tool.