Augusto Marietti | API father(@sonicaghi):Token spend becoming a problem? An AI gateway at the traffic layer gives you 3 levers that can drastically reduce token consumption. 1) Prompt Compression: strips unnecessary characters from a prompt before it ever reaches the foundation model. 2) Semantic Caching: caches responses based on meaning, not exact wording, so duplicate intent doesn't trigger a redundant model call. 3) Semantic Routing: routes prompts to lower-cost models based on intent, reserving expensive models for complex tasks and cheaper ones for simple requests. These are valuable at any size org, but at enterprise scale (millions of daily requests) the token cost optimization could reshape your budget entirely.

2026.06.30 14:45

Token spend becoming a problem? An AI gateway at the traffic layer gives you 3 levers that can drastically reduce token consumption. 1) Prompt Compression: strips unnecessary characters from a prompt before it ever reaches the foundation model. 2) Semantic Caching: caches responses based on meaning, not exact wording, so duplicate intent doesn't trigger a redundant model call. 3) Semantic Routing: routes prompts to lower-cost models based on intent, reserving expensive models for complex tasks and cheaper ones for simple requests. These are valuable at any size org, but at enterprise scale (millions of daily requests) the token cost optimization could reshape your budget entirely.