Agent Parameter Tuner

Describe your agent's task and environment. We'll compute parameter recommendations grounded in RPCS-1 receiver dynamics — no guessing, no trial and error.

Task

What does the agent do?required

Be specific — more detail improves confidence rating.

Domainoptional

Environment

How often does the environment change?

How predictable are those changes?

What are the stakes if the agent makes an error?

How far back does relevant context reach?

Should the agent commit quickly or deliberate carefully?

Platform

Target LLM platform

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Fill in the form and submit to see recommendations.

Results include receiver profile (TI, SG, FT, UE, AR), platform parameters, predicted regime, and reasoning.

Install the Python SDK

pip install rpcs1

SDK access requires a paid plan. Free tier: 5 calls/day. See pricing →