agent-cost-attribution is a stdlib-only Python package that delivers per-stage token and cost attribution along with silent-degradation detection for multi-agent AI workflow runs. It helps developers monitor and optimize the economics and reliability of complex LLM-based agent systems.
agent-cost-attribution is a LLM eval & observability product. It focuses on tracking per-stage costs, tokens, and performance degradation in multi-agent LLM workflows. It is built as an open-source project for ai developers. agent-cost-attribution is open source under the MIT license. The product ships for the command line.
Jott2121 builds and maintains agent-cost-attribution, and the product first shipped in 2026. Development happens publicly on GitHub with 13 commits in the last 90 days. Key capabilities include token attribution, cost tracking, and silent degradation detection.
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