Lexi is an API gateway that restructures conversation context before sending requests to supported AI model providers, reducing token usage and costs. It preserves streaming, tool calls, and structured output while allowing teams to switch providers through a compatible endpoint.
In the Inference & model serving space, Lexi takes a focused approach. It focuses on reducing AI API token costs without changing application code or model providers. It is built as a B2B product for AI application developers and engineering teams. There is a free tier. Lexi is available on the web, the command line, and API.
Key capabilities include context restructuring, token reduction, and multi-model endpoint. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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