AI Ops Circuit Breaker: Multi-Model Fallback Agent | Montreal .

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November 20, 2025 · Montreal

AI Ops Circuit Breaker Fallback

See a live demo of a multi-agent system using a Circuit Breaker pattern to maintain uptime during AI model failures via automatic fallback.

Overview
Tech stack
  • FastAPI
    FastAPI is a modern, high-performance Python web framework for building APIs with automatic OpenAPI documentation.
    FastAPI is a robust, high-speed Python web framework: it is built on Starlette (for async capabilities) and Pydantic (for data validation and serialization). Leveraging standard Python 3.8+ type hints, the framework automatically generates interactive API documentation (Swagger UI/ReDoc) and enforces data validation, effectively reducing developer-induced errors by an estimated 40%. This architecture delivers performance on par with Node.js and Go, significantly increasing feature development speed (up to 300% faster). It is production-ready, fully supporting OpenAPI and JSON Schema standards for all API specifications.
  • Python
    Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
    Python is the high-level, general-purpose language prioritizing clear, readable syntax (via significant indentation), ensuring rapid development for any team . Its ecosystem is massive: use it for robust web development with frameworks like Django and Flask, or leverage its power in data science with libraries such as Pandas and NumPy . The Python Package Index (PyPI) provides thousands of community-contributed modules, offering immediate solutions for tasks from network programming to GUI creation . The language is actively maintained by the Python Software Foundation (PSF), with the stable release currently at Python 3.14.0 (as of November 2025) .
  • Gemini
    Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.
    Gemini is Google's most capable and general AI model, engineered from the ground up to be natively multimodal: it seamlessly understands and combines information across text, code, audio, image, and video inputs. The technology is optimized for flexibility, running efficiently on everything from data centers to mobile devices. It is deployed in three key sizes: Ultra (for highly complex tasks), Pro (for broad scaling), and Nano (for efficient on-device tasks). Developers access this power via the Gemini API to build next-generation applications.
  • google-generativeai
    The unified Google Gen AI SDK: Access Gemini, Imagen, and Veo models through a single, stable API for multimodal application development.
    This technology provides the official Google Gen AI SDK, a unified interface for integrating Google’s advanced foundation models into applications. Developers leverage the SDK—available for Python, JavaScript, Go, and Java—to access the Gemini API (including models like Gemini 2.5 Pro and Flash) and specialized services like Imagen for image generation and Veo for video creation. It enables powerful multimodal capabilities, supporting use cases from complex reasoning and function calling to high-quality content generation. The platform offers a free tier and seamless migration paths between the core Gemini Developer API and the enterprise-ready Vertex AI platform.
  • WebSockets
    Secures a persistent, full-duplex TCP connection via a single HTTP handshake, delivering low-latency, bidirectional data streaming for real-time applications.
    WebSockets establishes a continuous, two-way communication channel: a critical shift from the request/response cycle of HTTP/1.1. The connection initiates with an HTTP `Upgrade` handshake, switching the protocol to `wss` (secure) on port 443. This persistent link minimizes network overhead, eliminating the need for inefficient HTTP polling. The protocol, standardized as IETF RFC 6455 in 2011, ensures near-instant data transfer: vital for high-performance use cases (e.g., live chat, collaborative editing, financial market data).

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