Getting Started

get started quickly with an ai gateway, or explore the major capabilities of the amberflo platform quickstart connect an ai gateway to amberflo this is the fastest way to begin using amberflo with your ai workloads set up a gateway, configure it, send a request, and start seeing fully structured usage data in amberflo quickstart docid 9yiergqwbde8hklezyioe quickstart docid\ xpnvzezmm cemyw7euslp ai governance and control amberflo ai control tower provides real time usage metering, attribution, and governance for ai workloads extend the capabilities of any ai gateway by breaking down usage by teams, applications, regions, models, and environments combining usage from multiple sources including public llms, private models, tools, and agents tracking tokens, calls, gpu time, retries, and metadata enforcing budgets and cost guards supporting multi tenant reporting and internal chargebacks explore ai governance and control metering meter any measurable service or workload — cloud, on prem, saas, or internal systems amberflo’s metering engine captures accurate, granular usage api calls compute time storage and data transfer custom business events hybrid and on prem resources use metered data across the platform including ai governance, cost allocation, and customer billing learn about metering cloud cost management connect your cloud providers and gain unified visibility across aws, azure, and gcp amberflo’s cloud cost platform supports cloud cost ingestion and normalization cross cloud allocation to teams or business units savings insights and recommendations forecasting, anomaly detection, and budget controls explore cloud cost management customer billing use metered usage to build advanced, flexible billing and chargeback models support for custom pricing plans tiered, volume, and block pricing discounts, commitments, and free tiers invoicing and invoice manifests internal chargebacks or customer billing explore customer billing