Iris - Self-Healing Observability Layer for Clinical AI | Google Rapid Agent Hackathon x Arize Track
Автор: Aditya Shukla
Загружено: 2026-06-11
Просмотров: 22
Описание:
IRIS is a self-healing observability layer for clinical AI. It evaluates every agent output in real time across 7 safety evaluators grounded in RxNorm and OpenFDA, traces everything to Arize Phoenix, and closes the loop autonomously:
an ADK agent reads IRIS's own observability data via the Phoenix MCP server
diagnoses the failure pattern, rewrites the system prompt
validates the fix against real captured failures
and deploys it - measurably improving the agent with no human intervention.
Built with Google ADK, Gemini 2.5 (Vertex AI), Arize Phoenix, and Cloud Run.
Live demo: https://iris-clinical-797220546460.us...
GitHub: https://github.com/adityashukla8/iris
Built by Aditya Shukla for the Google Cloud Rapid Agent Hackathon - Arize Phoenix Track.
#GoogleCloud #ArizePhoenix #GeminiAI #AIAgents #MCP
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