TL;DR If your SaaS product calls multiple LLM providers, the invoice from OpenAI,...
TL;DR
If your SaaS product calls multiple LLM providers, the invoice from OpenAI, Anthropic, Gemini, Bedrock, or OpenRouter is not enough. You need attribution at the feature, tenant, assistant, thread, model, and provider level. Otherwise every product experiment turns into one blended AI bill.
A practical LLM cost attribution stack has four layers:
One OpenAI-compatible gateway endpoint so apps route through a shared control point.
Scoped API keys per app, customer, assistant, or workflow.
Quick answer: There is no unified official API for LLM pricing. OpenAI, Anthropic, Google, Mistral,...
LLM per-token prices fell between 9x and 900x over the past year. Yet most teams running agentic AI...
You ship your AI feature. It works. A week later your OpenAI bill is $400 and you have no idea which...
Shared API keys break cost ownership at every hop unless you propagate a stable ownership contract...
Your AI app is live and the inference bill is eating your margins. Here are 10 practical ways to cut LLM costs without hurting…
Key Takeaways LLM API spending doubled from $3.5B to $8.4B in 2025 — most of the growth is from...
