Optio is a Python package that emits economic cost and outcome quality signals for AI agent runs. It follows the OpenTelemetry GenAI semantic conventions to provide standardized observability data for governance and monitoring purposes. Primarily used by developers building and evaluating autonomous AI agents.
optio is a LLM eval & observability project. It focuses on measuring and monitoring the economic cost and quality of AI agent executions. It is built as an open-source project for AI developers. optio is open source under the Apache-2.0 license. It runs on the command line and API.
Behind optio is Aniketh-74, and it first shipped in 2026. Development happens publicly on GitHub with 135 commits in the last 90 days. Key capabilities include cost tracking, outcome quality signals, and openTelemetry integration. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do