Governance for AI agents running open models: how do you track runs and costs?

A practitioner guidance piece recommends that teams running AI agents on open models log more than a model name such as llama3:8b per run, because local tags can be repointed and a single name can cover several quantizations. The guidance points to the OpenTelemetry GenAI semantic conventions, which define agent and tool-execution spans and attributes including gen_ai.request.model, gen_ai.response.model, gen_ai.tool.call.id and token usage, and notes the conventions are still marked Development, so the emitted version should be pinned. For audit purposes, the log should be written to append-only storage that the agent's own credentials cannot modify or delete.