AURA: The AI Voice Incident Commander That Joins Your War Room | Agora ConvAI Demo
Link to open source: https://github.com/akanksha-dot-dev/aura.git
Link to Live Project: https://aura.akanksha.dev/
๐จ AURA โ Voice AI Incident Commander | Full End-to-End Demo
When a SEV-1 hits production, every second costs money. Engineers panic, talk over each other,
throw out conflicting theories โ and cognitive overload sets in fast.
AURA is a real-time Voice AI Incident Commander that joins live IT war rooms as an active voice
participant over Agora SD-RTNโข and Conversational AI Engine. It listens to cross-talk, classifies
raw speech into structured epistemic evidence, detects engineering contradictions in real-time,
drives the incident to resolution, and auto-generates a full Google SRE postmortem โ all without
a human scribe.
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โฑ๏ธ AURA IN Details
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โจ KEY FEATURES SHOWN
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Real-time Voice Bridge โ AURA joins the audio channel via Agora SD-RTNโข WebRTC
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Epistemic Classifier โ Classifies speech as Facts, Hypotheses, Decisions, or Action Items
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Contradiction Detection โ Flags conflicting engineering theories instantly (LIVE on audio)
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Two-Phase Commit Actions โ Stages Jira ticket creation & Slack broadcasts before executing
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Verbal Readback โ AURA reads back all decisions to prevent miscommunication
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D3 Microservice Topology โ Interactive live dependency graph with blast-radius visualization
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Live Cost Burn Rate โ Real-time financial impact tracker in dollars/second
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OODA Loop Tracking โ Observe โ Orient โ Decide โ Act phase indicator
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Automated SRE Postmortem โ One-click Google SRE Book compliant incident report
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๐ ๏ธ TECH STACK
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โข Framework: Next.js 16 (App Router + Turbopack)
โข Voice & Network: Agora RTC SDK (WebRTC) + Agora Conversational AI Engine + Agora RTM 2.x
โข AI/LLM Layer: Custom OpenAI-powered LLM proxy with 16-directive incident commander system prompt
โข MCP Bridge: Model Context Protocol (SSE) for live tool execution
โข Graph: D3-Force for interactive microservice topology
โข Animation: Motion (motion/react) with physics-based springs
โข Design System: Vanilla CSS โ "Operational Calm" dark theme
โข Type Safety: TypeScript 5 + Zod schema validation
โข Testing: Vitest + React Testing Library (103 tests, 100% pass rate)
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๐ LINKS
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๐ Live Demo: https://aura.akanksha.dev
๐ฆ GitHub Repo: https://github.com/akanksha-dot-dev/aura
๐ Agora ConvAI: https://www.agora.io/en/products/conversational-ai/
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๐ WHAT IS AGORA CONVERSATIONAL AI?
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Agora's Conversational AI Engine lets you embed real-time AI voice agents directly into WebRTC
audio channels. AURA uses this to make an LLM-powered agent an actual voice participant in the
incident bridge โ not a passive observer, but a live, speaking, tool-using member of the war room.
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๐ INCIDENT SCENARIOS AVAILABLE
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โข SEV-1 Payment Gateway Outage (featured in this video)
โข SEV-2 CDN Cache Invalidation Storm โ Global Latency Spike
โข SEV-0 Authentication Service Compromise โ Suspicious Token Generation
โข SEV-1 Kubernetes Node Pool Exhaustion โ Pod Eviction Cascade
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๐๏ธ ARCHITECTURE HIGHLIGHTS
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โข /api/agent/start โ Summons AURA into the Agora RTC channel via Conversational AI REST API
โข /api/llm/proxy โ Custom OpenAI streaming proxy that drives AURA's incident commander persona
โข /api/mcp/sse โ Model Context Protocol SSE endpoint exposing tools (log_fact, flag_conflict, create_jira_ticket, post_slack_update, etc.)
โข /api/token โ Agora RTC + RTM token generation with App Certificate authentication
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๐ท๏ธ TAGS (do not remove)
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#AI #VoiceAI #SRE #IncidentManagement #AgentAI #Agora #ConvAI #NextJS #WebRTC
#DevOps #SiteReliabilityEngineering #OpenAI #MCP #TypeScript #React #RealTimeAI
#AIDemo #AIAgent #LLM #Postmortem #IncidentResponse #EngineeringDemo #BuildInPublic
This build was uploaded as a hackathon project


