Beyond Static Prompts: Building Scale-Proof, Polymorphic Multi-Agent Systems with Google's ADK

As enterprise generative AI transitions from simple, conversational chatbots to autonomous multi-agent workflows, developers face a critical bottleneck: scale. In a production environment, an enterprise agent often needs to navigate hundreds of heterogeneous data structures, dynamic business rules, and shifting API schemas. The standard blueprint relies on "Static Prompting"—pre-loading all potential JSON schemas, Pydantic classes, or tool definitions directly into the agent’s system instructions. However, as your task complexity grows, this architecture breaks down. It leads to context window