Scoring A2A Agent Skills with System One (Jev) in .NET
Follow-up to Multi-Agent Orchestration in .NET Using A2A ohalay ohalay ohalay Follow Sep 8 Multi-Agent Orchestration in .NET Using A2A # ai # agents # tutorial # dotnet
System One (Jev) is a classification primitive designed for multi-agent orchestration in .NET. It takes a state and a map of typed questions to return typed answers per key. The system uses three primitives: noul (type-safe boolean), choice (pick one with distribution), and score (ordered rubric with probability-weighted answers).
The key to System One's efficiency lies in its scoring mechanism. Instead of treating each agent as a separate tool, it focuses on skills. The ToolCatalog converts each agent card into scorable rubrics, which are then used to score skills against incoming requests. This approach allows for more accurate comparisons, as the score now represents a 0-1 relevance probability.
The scoring process involves sending a POST request to /v1/systemone, providing the user's request and the necessary context. The system processes the request, scoring each skill based on its relevance to the question. Only the top-scoring skills are returned, making for a more streamlined and efficient response.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
