trie is an open-source command-line harness for replaying inference traffic against an endpoint. It helps ML engineers and developers test endpoint behavior using recorded or captured requests during model evaluation and deployment workflows.
trie is an Agent evaluation & testing project. It focuses on replaying recorded inference traffic to evaluate endpoint behavior without manually recreating requests. It is built as an open-source project for ML engineers and developers evaluating inference endpoints. The project is open source (Open Source). It ships for the web and the command line, and it can be self-hosted.
Behind trie is Applied Compute. Key capabilities include inference replay, endpoint testing, and traffic capture. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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