Running an LLM-driven town with 800+ persistent agents: concurrency, context caching, and inference costs
英文标题:Running an LLM-driven town with 800+ persistent agents: concurrency, context caching, and inference costs
I spent the past year independently building Slow Vale, an LLM-driven life simulation. The Chinese server now has 800+ AI residents sharing one continuously running city. This is an engineering write-up about concurrent decisions, dynamic action spaces, context caching, and the operating costs
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中文
I spent the past year independently building Slow Vale, an LLM-driven life simulation. The Chinese server now has 800+ AI residents sharing one continuously running city. This is an engineering write-up about concurrent decisions, dynamic action spaces, context caching, and the operating costs
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English / 原文
I spent the past year independently building Slow Vale, an LLM-driven life simulation. The Chinese server now has 800+ AI residents sharing one continuously running city. This is an engineering write-up about concurrent decisions, dynamic action spaces, context caching, and the operating costs