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ArizeAI highlights key challenges of scaling multi-agent systems in production, including context loss during handoffs a
ArizeAI highlights key challenges of scaling multi-agent systems in production, including context loss during handoffs and excessive token consumption.
Original Post
But scaling an agent in production to millions of users is challenging, let alone working with multi-agent workflows in production which might take a bad path, drop context during a handoff, or consume 3x the tokens it should have.