Monitor Azure OpenAI

Monitor Azure OpenAI usage and cost across subscriptions with model-level granularity and governance-ready insights. The tool inventories deployment activity, aligns it with Azure OpenAI pricing, and normalizes data for a single analytics surface. It is designed for cloud architects, FinOps teams, and SREs who need reliable visibility into who uses which models, when, and at what cost. By focusing on consumption patterns rather than raw logs, it supports budgeting, capacity planning, and compliance reporting across multiple tenants.
It operates by accepting structured inputs such as subscription_id, deployment_name, region, time_window, and a token-usage feed. It computes per-model and per-deployment metrics (total_tokens, prompt_tokens, completion_tokens) and derives costs using model-specific prices. Outputs include total_cost, cost_by_model, tokens_by_model, and remaining_quota. Advanced capabilities add forecasted spend, alerts for threshold breaches, historical trend analysis, and export options (CSV/JSON) for dashboards and audits.
Beneficiaries gain governance, predictable budgets, and faster decision cycles. The tool's value lies in its Azure-specific pricing alignment, multi-subscription aggregation, and auditable records of spend and quota changes. Use cases include quarterly budgeting, capex planning for AI workloads, and diagnostics when quotas approach limits. Assumptions like pricing accuracy and data availability underpin outputs; exclusions include real-time operational control and non-Azure data sources.