LLM Cost Tracking Across All Providers

LLM cost tracking centralizes usage, token consumption, request volume, and spend across models, providers, projects, and teams. FastRouter does this at the gateway layer, so every AI request is metered consistently before being routed to providers like OpenAI, Anthropic, Google Gemini, xAI Grok, and others.

FastRouter routes all model calls through one OpenAI-compatible API and records usage for each request, including model, provider, token counts, cost, latency, and outcome. This creates a unified spend dashboard instead of forcing teams to reconcile separate provider consoles, invoices, and export formats manually.

Yes. FastRouter supports project-level and API-key-level visibility, making it easier to attribute AI consumption to products, teams, environments, or internal customers. This helps finance and engineering partners understand which workloads drive spend and supports internal reporting, forecasting, and chargeback workflows.

FastRouter provides cost controls at the gateway, including project limits, API-key limits, member roles, and access controls. Teams can restrict expensive models, enforce budgets automatically, and pair limits with real-time alerts to detect unusual usage before it becomes a major invoice surprise.

FastRouter consolidates usage across providers into one metered view and supports unified billing and cost reporting. Instead of separately reconciling OpenAI, Anthropic, Gemini, Grok, and other statements, teams get one source of truth for provider-wide AI spend, attribution, and forecasting.

FastRouter reduces spend through intelligent routing, cost-optimized model selection, batching for high-volume workloads, and audits of live API traffic. The platform helps identify where cheaper models can meet the same quality bar, reducing overuse of premium models while preserving reliability and output standards.

Yes. FastRouter sends alerts when cost, latency, error rates, or usage patterns breach thresholds you define. These alerts help teams react quickly to runaway agents, misconfigured keys, sudden traffic spikes, provider failures, or workloads consuming more tokens than expected.

FastRouter is designed for production AI teams using multiple models, providers, products, or internal applications. It is especially useful when engineering needs reliable routing and observability while finance needs clear cost attribution, unified reporting, budget controls, and confidence that AI spend is governed centrally.