Receive daily AI-curated summaries of engineering articles from top tech companies worldwide.
Endigest AI Core Summary
This post explores building distributed AI agents using the orchestrator pattern with Google's Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocol.
•The orchestrator pattern splits a monolithic AI workflow into specialized microservices: a researcher, a judge, and an orchestrator coordinator
•Google ADK is used to build focused agents, with the researcher using Google Search and the judge enforcing structured Pydantic output (pass/fail JSON)
•The A2A protocol wraps agents as HTTP web services, allowing them to describe capabilities via agent.json and communicate over standard HTTP
•Cloud Run deployment enables independent scaling per service, so a slow judge step can scale to 100 instances without scaling the researcher
•
Security considerations include using mTLS, OIDC, or API keys in production, and avoiding chatty low-level interactions due to per-hop latency
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Google Cloud
Databricks
Stripe