Local-first AI assurance sandbox
A concept note scoping a unified local sandbox environment that hosts the control plane's evaluation, trace, and security modules for fully offline assurance testing.
Whether a single local sandbox environment can host the evaluation harness, trace layer, and security harness together without conflicting resource or isolation requirements.
- Sandbox architecture sketch
- Resource isolation model
- Offline evidence export format
Stand up a single-machine sandbox running a local open-weight model, the evaluation harness, and the security harness together, and measure whether evidence output remains consistent with the cloud-connected control plane.
A local-first assurance sandbox, built around a shared trace and evidence schema, can run evaluation, security, and cost-profiling modules against local open-weight models before any workflow is exposed to cloud infrastructure.
Why assurance testing should be able to run fully offline
Early-stage assurance testing on sensitive workflows often cannot depend on external model APIs. This note scopes what a local sandbox needs to host evaluation, tracing, and security testing together without cloud dependencies.
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