@GraphQLaphQL for service-to-service communication is an anti-pattern that trades the high-performance serialization of gRPC or Protobuf for massive runtime string parsing overhead.
If your backend-to-backend infrastructure introduces unneeded query validation and schema coordination layers just to feed data into an LLM context window, how do you defend your compounding latency metrics under a heavy distributed load?