Agentic AI - Chapter3
Multi-Agent Systems
You didn’t come this far to stop, go Next but here is quick summary
RECAP..
Single vs Multi-Agent Start simple · One job well > many jobs poorly · Overloaded agent = reduced quality · Specialized team analogy · Use case drives the choice · More agents = more cost + latency + failure points
Orchestration Patterns Sequential · Parallel · Critique Loop · Hierarchical · Router · A→B→C vs [A,B,C]→Merge · Manager Agent · Specialist Agent · Pattern = trade-off decision
The Critic Agent Quality firewall · Prevents confident errors · Removes blind spots · Forces evidence-based reasoning · Self-critique via role shift · High-stakes outputs · Generator → Critic → Revise → Output
Prompt Variables & Templates {feature_name} · {platform} · Placeholders · Reusable prompts · Parameterized · Version control · Treat prompts as code · Input nodes in Langflow · Build once, deploy many
Multi-Agent Design in Langflow Canvas · Agent node · System prompt · Chat Input · Playground · Planner → Researcher → Analyzer → Output · Wire agents · Debug via execution logs · API key per agent
When NOT to Add More Agents Optimal agent count = minimum that meets quality bar · More ≠ better · Cost multiplies per agent · Latency compounds · Points of failure increase · Over-engineering kills velocity
Full Multi-Agent Architecture Goal → Plan → Orchestrate → Specialize → Critique → Deliver · Use case first · Tool agnostic · Patterns transfer across Langflow/n8n/Zapier · Observability non-negotiable · Cost per pipeline