Recursant sits between your AI agents and the models they use and picks a model for every step: a top model for the hard steps, a cheaper model for routine ones, and your own private model whenever personal data is involved.
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Routine steps such as reading a file or running tests go to a cheaper model while thinking-heavy steps stay on the main model, and a stronger model is brought in if the agent keeps failing.
Every request is checked with regexes for tax file numbers, Medicare numbers, card numbers, phone numbers and email addresses before it leaves your machine; matches go to your private model.
It speaks the OpenAI API, so you point your agent at Recursant instead of the provider, with no plugins and no code changes.
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