Johannes Kresner
bba0095bc0
Establish the monorepo, tooling, and starter apps so UI and gateway development can begin from a documented, runnable baseline.
130 lines
2.3 KiB
Markdown
130 lines
2.3 KiB
Markdown
# Vela Architecture
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## High-Level Architecture
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```text
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[ Browser (PWA UI) ]
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WebSocket
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[ Vela Gateway (NanoPi R6S) ]
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+--> STT (local or NAS)
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+--> Ollama (NAS GPU)
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+--> Kokoro TTS (NAS or NanoPi)
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+--> Home Assistant
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+--> SearXNG
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```
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## Core Components
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## Repository Structure
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```text
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apps/
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vela-ui/
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vela-gateway/
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```
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The repository now includes separate runnable workspaces for the UI and gateway so implementation can proceed independently while staying aligned through shared documentation.
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### Frontend — `vela-ui`
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#### Tech
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- SvelteKit
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- PWA enabled
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- WebSocket client
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The current implementation is a minimal SvelteKit app with a single starter page. PWA behavior, microphone capture, and the WebSocket client are later increments.
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#### Responsibilities
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- audio capture from microphone
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- audio playback for TTS
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- UI state rendering
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- session management
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- interrupt handling
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#### Main Screen
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- large mic button
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- live transcript
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- streamed assistant response text
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- state indicator:
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- idle
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- listening
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- thinking
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- speaking
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- interrupt button during speaking
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### Backend — `vela-gateway`
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#### Tech
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- Fastify (Node)
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- WebSocket-based session layer
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The current implementation is a minimal Fastify service with `/` and `/health` HTTP endpoints. The WebSocket session layer is a later increment.
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#### Responsibilities
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- session lifecycle
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- audio ingestion
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- STT orchestration
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- LLM orchestration
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- tool execution
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- TTS orchestration
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- event streaming
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## Voice Pipeline
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```text
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Mic → Gateway → STT → Transcript
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→ LLM → Tool Calls → Results
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→ LLM → Final Response
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→ TTS → Audio Stream → UI
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```
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## Gateway Internal Flow
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```text
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1. Receive audio
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2. Run STT (streaming)
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3. Emit partial transcripts
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4. On final:
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→ call LLM
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5. LLM decides:
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→ direct response OR tool call
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6. Execute tool
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7. Feed result back to LLM
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8. Generate final response
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9. Send text stream
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10. Send TTS stream
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```
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## LLM Layer
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### Location
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- NAS with RTX 3050 8GB
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### Role
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- intent parsing
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- tool selection
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- response generation
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### Constraints
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- must use a tool-calling schema
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- must not directly control systems
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- target approximately 7B-class models because of hardware limits
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## Naming
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- system: **Vela**
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- gateway: `vela-gateway`
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- UI: `vela-ui`
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- voice profile: `vela-neutral`
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