Agno introduces a dedicated TuningEngines model provider so teams can route agent traffic through a governed OpenAI-compatible endpoint that enforces policy checks, audit logging, and usage/cost tracking without leaving Agno's orchestration framework.
Adds a typed TuningEngines provider class that extends Agno's OpenAILike base, giving teams a direct integration path with policy enforcement, audit trails, and cost visibility.
Teams using Agno for agent orchestration can now connect to Tuning Engines' governed endpoint without custom plumbing, so they get policy checks, audit logs, and cost reporting on every model call while keeping Agno's tool and memory stack intact. This matters because governed compute access is becoming a prerequisite for enterprise AI deployments; however, the PR notes an unresolved dependency conflict blocking local test runs, so adoption risk depends on whether the httpx range clash between a2a-sdk and brave-search surfaces in real environments.