Flow AI vs LiteLLM

LiteLLM is an open-source SDK + self-hosted proxy that normalizes 100+ provider APIs behind one OpenAI-compatible interface, with key management, spend tracking, and fallback lists you configure.

What LiteLLM optimizes for

API normalization and self-hosted control — you operate the proxy and define the routing rules.

• Open source and self-hosted — full control, data never leaves your infra
• Very wide provider coverage via one SDK
• Team features: virtual keys, budgets, spend logs

What Flow AI does differently

• Flow AI is managed — no proxy to deploy, patch, or scale
• Routing is learned, not configured: Flow measures whether each model actually completes your agents' tasks and re-ranks continuously; LiteLLM executes the static fallback order you wrote
• Billing is pass-through + 2.5% with prompt-cache-aware costs on one invoice; with LiteLLM you still hold ~10 provider accounts and reconcile ~10 invoices
• Completion-aware cascade: cheap first, judged, escalated only on failure — rejected cheap attempts aren't charged

How to choose

Choose LiteLLM if you want to run the infrastructure yourself and codify your own routing rules. Choose Flow AI if you want routing decisions made and re-learned for you from completion evidence, with one bill.

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