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VoiceOps — AI On-Call Engineer

Investigate, fix, and deploy production issues using voice commands.

Architecture

Audio/Text → STT → Intent → Normalization → Context → Workspace Orchestrator → sandbox/MCP

Quick start

Backend

cd backend
python -m venv .venv
.venv\Scripts\activate
pip install -r requirements.txt
copy .env.example .env
# set OPENAI_API_KEY and VOICEOPS_WORKSPACE=sandbox
uvicorn app.main:app --host 127.0.0.1 --port 8001

Dashboards

UI URL Notes
HTML (wired) http://127.0.0.1:8001/dashboard Login → voice + sandbox orchestrator
React (Vite) http://localhost:5191 cd frontend && npm install && npm run dev

Demo login: priya@voiceops.dev / oncall123

MCP workspace

Set the same path in .cursor/mcp.json and backend/.env:

VOICEOPS_WORKSPACE=sandbox

Project layout

backend/          FastAPI — auth, voice, console bootstrap, orchestrator
frontend/         React dashboard (from feat/ui-incident-dashboard), wired to API
design/           HTML login + incident dashboard
mcp-server/       MCP tools scoped to VOICEOPS_WORKSPACE
sandbox/          checkout-api demo (missing /health on purpose)

Tests

cd backend
pytest

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