u/Krisco43

I’ve been running some math on recursive agentic loops using April 2026 rates (specifically for GPT-5.4 and Claude 4.7).

In my tests, I’m seeing a massive cost "hockey stick" around loop 15-20 because of how the context grows. I’m currently assuming a 15% growth in input tokens per loop for history/memory.

Does that align with what you guys are seeing in production, or are people using more aggressive pruning/summarization to keep the "burn" down?