Over the last year, we’ve seen explosive interest in agentic AI systems built with LLM-powered components that can reason, plan, call tools, and coordinate with other agents. But if you’ve actually tried to build a multi-agent workflow, whether for network automation, observability, or network incident response, you’ve probably run into one glaring problem – all agents don’t speak the same language.