A Microsoft offering that enables tracking of cloud usage and expenditures for Azure and other cloud providers.
Thank you for the clarification and detailed explanation.
We understand that project-level and deployment-level cost attribution is currently not supported for Marketplace models such as Anthropic Claude and that the recommended approach is to perform cost allocation using Azure Monitor usage metrics.
However, for enterprise governance, chargeback/showback, financial reporting, and cost optimization, we would like to request an enhancement to the Azure Cost Management APIs and Cost Details APIs for Marketplace AI services.
Specifically, it would be beneficial if the APIs could expose:
- Azure AI Foundry Project
- Foundry Resource
- Model Name
- Deployment Name
- Deployment Resource ID
- Usage Metrics (Input Tokens, Output Tokens, Total Tokens)
- Actual Billed Cost
- Cost attribution dimensions required for chargeback and showback
This would enable customers to directly establish the relationship:
Foundry Project → Resource → Model/Deployment → Usage → Actual Cost
Similar capabilities are available for Azure OpenAI resources and would be highly valuable for Marketplace-based AI services such as Anthropic Claude.
As organizations increasingly adopt Marketplace AI models, direct project- and deployment-level cost attribution would significantly improve financial governance, cost reporting, utilization analysis, and chargeback processes.
We kindly request that this be considered as a future enhancement for Marketplace AI services.