Source reviewedAI / ML SystemSource archive

Graana Realtime

A real-time AI communication prototype combining web clients, backend services, and OpenAI streaming.

Open full system flow

Architecture knowledge graph10 connected nodes

System coreGraana RealtimeAI / ML System

01 / InputAudio / Realtime Event

02 / ProcessStreaming Session Orchestration

03 / IntegrateRealtime Model & Media Services

04 / DeliverRealtime Audio / Transcript

React

Node.js

TypeScript

OpenAI

Docker

Architecture stage Technology dependencyMove pointer to inspect depth

System brief

AI / ML System / reviewed system architecture

Engineering focus: Product and systems engineering
Domain: AI / ML System
Delivery window: Source archive
System state: Source reviewed

1source repositories indexed

3application packages detected

5core technologies mapped

The engineering move

Complex behavior, made operational.

Constraint

The product problem

A real-time AI communication prototype combining web clients, backend services, and OpenAI streaming. The engineering challenge is to turn that scope into a legible system with explicit inputs, dependable workflow boundaries, and an outcome that can be inspected and maintained.

System

The architecture decision

The reviewed implementation routes audio / realtime event through streaming session orchestration, crosses realtime model & media services where required, and produces realtime audio / transcript.

Outcome

The operating result

Graana Realtime is included as documented engineering work. Its source structure, technology stack, and functional flow are presented here even though no verified public deployment is currently available.

Delivered capability

What the system actually does.

Audio / Realtime Event intake and validation

Streaming Session Orchestration execution

Realtime Model & Media Services integration boundary

Realtime Audio / Transcript delivery

AI-assisted reasoning and model orchestration

External service and API coordination

Containerized delivery workflow

Full system flow

The Mermaid diagram, rendered.

The interactive graph above is the executive view. This is the detailed service, data, control, and delivery path reviewed from source.

Rendering the reviewed system flow

Production architecture

A concrete path through the system.

Each stage below comes from the reviewed source tree, routes, services, infrastructure, and deployment evidence.

01
Input
Audio / Realtime Event
The workflow begins with a defined user, event, document, media, or service input and establishes the state required for processing.
ReactNode.js
02
Process
Streaming Session Orchestration
Domain logic coordinates the central transformation, reasoning, automation, or product workflow behind the project.
TypeScriptOpenAI
03
Integrate
Realtime Model & Media Services
External APIs, model providers, storage, platform services, or host applications are kept behind an explicit integration boundary.
DockerReact
04
Deliver
Realtime Audio / Transcript
The system returns an actionable product result, structured dataset, automated operation, or user-facing response.
Node.jsTypeScript

Engineering judgment

The decisions behind the delivery.

The source remains the evidence

Descriptions and architecture are grounded in the indexed repository structure, package metadata, and reviewed functional flow.

Boundaries stay explicit

Inputs, core workflow, integrations, and outcomes are separated so the system can be understood without relying on a public demo.

Deployment status is honest

No live action is displayed because a public deployment could not be verified.

Technical constellation

01React02Node.js03TypeScript04OpenAI05Docker

Graana Realtime system architecture cover

Source evidence

The system is documented.

Source tree and architecture inventory reviewed on 2026-07-16; no public deployment verified. Its reviewed architecture and functional flow remain available without presenting an unverified public deployment.

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