CanyonOS 0.2 launches as open-source tool to find, observe and scale agents

CanyonOS 0.2 is the first public release of an open-source, model-agnostic tool for finding, observing and scaling agents that slow down workflows. It runs on Docker or Kubernetes, works with any provider offering an OpenAI-compatible API, exports OpenTelemetry-compatible traces and metrics to tools such as Datadog, Grafana, Prometheus, Langfuse and Arize Phoenix, and adds cost and queue time per agent. The project is AGPL-3.0 licensed, requires agents to be rewritten into plain Python with one file per agent, and its FAQ states it has not yet run at large production scale.