An Evidence-Aware Agent Framework Upgrade Tracker in .NET
A public NuGet evidence tracker compares three actual function-invocation contracts across two pinned packages while leaving general compatibility unknown.
THE READING ROOM
THE READING ROOM
A public NuGet evidence tracker compares three actual function-invocation contracts across two pinned packages while leaving general compatibility unknown.
A real .NET 11 trace reveals logical async chains, a short-process buffer trap and the limits of method mapping and observation-cost measurements.
One compiled C# assembly, two pinned runtimes, and nine allocation scenarios. Real IL, JIT listings and measurements show when an object disappears, when nullable boxing moves off the managed heap, and why a local delegate can still allocate.
Runtime async changes where suspension is represented. A real two-library .NET 11 lab shows smaller compiler artifacts and lower allocation on some paths, while a controlled suspension case resists a universal speedup claim.
A real ASP.NET and Microsoft.Extensions.AI fixture compares two proposal paths through one validator, preserves every failed revision, and makes explicit review the boundary of accepted work.
A small local reference makes admission, retry, journal state and shutdown observable; a compiled Azure candidate preserves the distinction between mapping and deployment.
A diagnostic agent’s read-only claim is tested through actual SQL permission denials, fixed query templates and evidence-based hypothesis rejection.
An agent can explain why it wants to perform an action without establishing that it may perform it. It can produce a well-formed tool call without establishing that the arguments are safe. It can report success without proving that the external effect occurred exactly once.
A real framework tool reaches SQL Server, where two Index Seek plans return the same answer while reading different amounts of data.
A versioned local deployment recipe records its prerequisites, owned resources, observed HTTP results and cleanup, making its verification date a claim about an actual run.
Every transformation in a reference data pipeline should be explainable from an input artifact to a derived result.
Four actual SQL hash-aggregate plans expose grants, parallelism and spills while preserving one independently checked result.