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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.
agnostic-per-tenant-llm-cost-chargeback
The VP of Engineering at a B2B vertical SaaS company needs to bill each SMB customer for the AI features they use. Without per-tenant cost tracking, the company absorbs all LLM expenses, eroding margins. Existing observability tools don't tie token usage to tenant IDs, making chargeback impossible. The team manually approximates costs, leading to billing disputes and lost revenue.Attribute every LLM call to the right tenant and export cost data to your billing system.