Service

Self-Optimizing Agents

Agents that generate, compare, and promote safer, faster, cheaper workflow variants under quality gates.

What it includes

We combine workflow evals, model routing, prompt policy, and regression datasets so agent systems can improve without losing control.

How we relate to DSPy, MIPROv2, and OPRO

DSPy and its optimizers (MIPROv2, BootstrapFewShot) and OPRO target prompt and program optimization at the framework level. We use them where they fit and extend the optimization surface to the parts they do not cover: workflow shape, generated code, retrieval policy, tool budgets, and model routing — all bounded by promotion gates that include latency, memory, cost, and safety, not just task quality.

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