Cut LLM costs with deterministic context compression, smart routing, and cost tracking
In the Infrastructure & Backend space, tokenpak takes a focused approach. It focuses on reducing large language model (LLM) usage costs through context compression, routing, and token tracking. It is built as an open-source project for AI developers and teams managing LLM costs. The project is open source (Apache-2.0). tokenpak is available on the web and the command line.
tokenpak first shipped in 2026. Development happens publicly on GitHub with 765 commits in the last 90 days. Key capabilities include context compression, smart routing, and cost tracking.
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