Agents that behave in production the way they did in testing, with routing, security, and model management on infrastructure you control.
Agent performance, quality, latency, and errors differ from what developers tested.
Social engineering and fraud from LLMs and hackers, spread across requests and conversations.
Violations happen regularly in production.
Deprecations, upgrades, and new alternatives never stop.
Multiple LLM and MCP gateways to run and scale.
Hard to thread context across calls and agents: which agents call which MCP servers, what apps exist, what each task costs.
From the Cortega console.
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