BentoML Service Deployment and API Exposure

deploymentChallengeNovember 27, 2025

Prompt Content

Containerize your anomaly detection model, the RAG system, and the GPT-5 integration into a unified service. Use BentoML to package and serve this entire application as a production-ready API endpoint. The service should expose an endpoint (e.g., `/detect_anomalies`) that accepts a time range and returns detected anomalies along with the AI-generated recommendations. Write comprehensive `bentofile.yaml` and `service.py` files to define your Bento.

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