Advanced Topics

This page covers more advanced usage of Oxyde, including voice integration, streaming output, persistent storage, and standalone deployment strategies.

🎙️ Voice Integration (Coming Soon)

Oxyde is built to support real-time speech-to-text and text-to-speech pipelines:

• Plug in services like:

  • 🗣️ OpenAI Whisper

  • 🧠 Deepgram, AssemblyAI

  • 🗣️ ElevenLabs (TTS)

• Route audio input → transcript → LLM → audio output

Future agent config will include:

"voice_profile": {
  "tts": "elevenlabs",
  "stt": "whisper"
}

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🌐 Streaming Output

You can enable real-time LLM streaming to get token-by-token output, ideal for:

• NPCs talking while typing

• Dynamic cutscenes

• Interruptible generation

The async pipeline in llm_service.rs supports streaming via:

• reqwest and futures

• WebSocket-compatible forwarders (WIP)

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🗃️ Persistent Storage (Memory DB)

Persistent long-term memory is being designed to store:

• ⌛ Session data

• 🧠 High-priority long-term memories

• 🔄 Recalled insights across playthroughs

Pluggable backends:

• 🪵 JSON (dev mode)

• 📄 SQLite (lightweight)

• 🛢️ Postgres (production)

Future config block:

"storage": {
  "type": "sqlite",
  "path": "./data/velma.db"
}

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🖥️ CLI Deployment

Use Oxyde to power:

• NPC simulation servers

• Discord agents

• Networked agent brains via socket

• Inference daemons behind REST APIs

main.rs and cli.rs already support:

cargo run --example rpg_demo

Soon: oxyde serve for headless server deployment.

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🧩 Feature Flags

For lighter builds, Oxyde supports compile-time toggles:

Feature	Flag
LLM Streaming	--features stream
TTS/STT	--features voice
SQLite	--features db

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🔗 Related Pages

• 8. API Reference

• 9. Examples & Demos