Axonpush traces model calls, tool usage, backend events, errors, timing, and responses across AI-agent workflows. Developers can preserve production examples, build evaluation datasets, compare changes against baselines, and detect regressions in quality, latency, cost, and failure rate.
axonpush is an Agent monitoring & governance project. It focuses on debugging failed AI-agent requests and validating changes without reproducing production failures manually. It is built as a B2B product for AI agent developers and engineering teams. axonpush is paid. It ships for the web and the command line.
axonpush builds and maintains axonpush. Among its 10 catalogued features are agent tracing, tool call inspection, and error investigation. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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