# FastAPI WebSockets Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/fastapi-websockets
> Markdown URL: https://aitinkerers.org/technologies/fastapi-websockets.md
> Technology record last updated: 2026-06-12T15:52:21Z
> Generated: 2026-09-21T19:40:08Z

FastAPI WebSockets enable bi-directional, real-time communication between clients and servers with native async support and minimal boilerplate.

FastAPI WebSockets leverage Starlette and Python's async/await syntax to handle persistent, full-duplex connections out of the box. By defining endpoints with the @app.websocket decorator, developers can easily manage incoming and outgoing data streams (supporting text, binary, and JSON payloads) while utilizing FastAPI's dependency injection system for tasks like authentication. This native integration eliminates the need for complex external wrappers, making it a highly efficient choice for building low-latency features like live chat applications, real-time dashboards, and collaborative tools.

- Official technology site: https://fastapi.tiangolo.com/advanced/websockets/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Prism: Privacy-First Multi-Model Orchestration](https://dubai.aitinkerers.org/talks/rsvp_gu_mOBH3NEM)

Prism is a privacy-aware AI orchestration layer that decomposes any query into parallel sub-tasks, routes each to the right model (local Qwen3, Groq, or Gemini) based on sensitivity, executes them concurrently via a dependency DAG, then synthesizes a single coherent response — all in one WebSocket-driven interface. Live demo will show: a real query decomposing into 3 parallel tasks, a DAG rendering the execution graph in real-time, the privacy gate redacting secrets before they leave the machine, and a local Qwen3.6-35B running on a laptop GPU via llama.cpp with MoE CPU offload.

- Event context: AI Tinkerers Dubai - June Demo Day — 2026-06-13 — Dubai
- Public talk page: https://dubai.aitinkerers.org/talks/rsvp_gu_mOBH3NEM

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