RPCS-1

Configure AI agents before they fail in production. RPCS-1 helps developers tune temperature, context strategy, model choice, and tool behavior based on the agent’s real operating conditions.

About RPCS-1

RPCS-1 Agent Tuner is a diagnostic framework for building more stable AI agents. Developers describe the agent’s task, environment, stakes, and predictability, then receive concrete configuration recommendations such as temperature, max tokens, model strategy, context handling, retry behavior, and tool-use posture. It is designed to reduce common agent failures like oscillation, overload, and freezing by matching the agent configuration to the workload instead of relying on guesswork.