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News

OpenSmartRoute
opensmartroute.ai > docs

Documentation

6+ day, 23+ hour ago   (229+ words) OpenSmartRoute routes each request to a model, agent, skill, tool or human and returns the decision with the trace that produced it. It is available as a hosted platform, as a Python package and as a self-hosted service. This site…...

OpenSmartRoute
opensmartroute.ai > rankings

Rankings

6+ day, 21+ hour ago   (206+ words) Aggregated across every account on this deployment. Each row is the outcome of a scored decision under the caller's constraints, shown with the vendor and model that actually answered; filter by domain to see who wins coding, legal or customer…...

OpenSmartRoute
opensmartroute.ai > docs > REFERENCE

API reference

1+ week, 13+ min ago   (705+ words) Every public module, class and function with its signature, generated from the source. Stability: names re-exported from opensmartroute (the top-level package) are frozen by tests/public_api.json and follow SemVer. Sub-module names are public but may change in a minor release…...

OpenSmartRoute
opensmartroute.ai > docs > SECURITY

Security Model

6+ day, 18+ hour ago   (143+ words) Threat model, guard middleware, PII handling, provenance and the red-team suite. OpenSmartRoute is an LLM control plane: it decides who answers. That makes its integrity a security property in its own right (Shafran et al., "Rerouting LLM Routers", 2025). This document…...

OpenSmartRoute
opensmartroute.ai > estimate

Cost estimator

6+ day, 23+ hour ago   (209+ words) Paste a prompt. The router estimates tokens, scores every target and quotes each one with its price split into input and output, expected quality and latency, then names the recommended, cheapest capable, best-quality and fastest picks. Nothing is executed and…...

OpenSmartRoute
opensmartroute.ai > docs > MATH

Mathematical Foundations

1+ week, 19+ min ago   (192+ words) Every routing decision in OpenSmartRoute is the output of explicit, inspectable formulas. This document lists them, the research they come from, and where they live in the code. Each strategy $k$ returns a score $s_k(t) \in [0,1]$ and a self-confidence $\kappa_k(t)$. The ensemble…...