Solutions
Production-grade solutions that turn our open-source packages into deployable AI systems for specific business problems. Pick one, follow the DIY tutorial to see how it's done, download the examples and deploy them on your own infrastructure — for free — or tell us which ones you want customized and deployed.
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2 solutions
agnostic-per-tenant-llm-cost-chargeback-2
As a product manager at a vertical SaaS company, you need to offer AI features to your SMB customers but each customer may use different LLM providers based on their plan. You lack per-tenant cost tracking, making it impossible to charge back usage accurately. This leads to margin erosion and prevents you from scaling AI features profitably. You need a solution that captures LLM costs per tenant and integrates with your existing billing system.Track and bill each SMB customer for their AI usage with granular cost attribution.
aws-bedrock-cost-control-for-serverless-ai-applications
SMBs adopting AWS Bedrock for AI features often see unpredictable costs because there's no native spend controls. A single mis‑sized prompt or a spike in traffic can burn through a month's budget in hours, with no granular insight into which model or user caused it.A budget‑aware middleware that routes, caps, and tracks every AWS Bedrock LLM call, preventing surprise bills for SMBs running serverless AI features.