Play 33

Voice AI Agent

High! Evidence Expired

Real-time voice AI — speech-to-text, intent recognition, conversational AI, text-to-speech.

Real-time voice-driven AI agent combining speech-to-text, intent recognition, conversational AI processing, and text-to-speech output. Build voice bots for customer service, IVR systems, and accessibility applications. Azure AI Speech handles STT/TTS, Azure OpenAI provides conversational intelligence, Communication Services manages telephony, and Container Apps hosts the streaming pipeline. Supports multi-language, low-latency voice interactions with PII redaction and call recording consent.

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Architecture Pattern

Voice pipeline: STT → intent → LLM → TTS, real-time streaming, multi-language

Azure Services

Azure AI Speech (STT + TTS)Azure OpenAI (gpt-4o)Communication ServicesContainer Apps

DevKit (.github Agentic OS)

agent.md — root orchestrator with builder→reviewer→tuner handoffs
3 agents — Voice Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
3 skills — deploy (109 lines), evaluate (107 lines), tune (106 lines)
4 prompts — /deploy, /test, /review, /evaluate with agent routing
.vscode/mcp.json — FrootAI MCP with Speech key + OpenAI key inputs + envFile

TuneKit (AI Config)

config/openai.json — voice-optimized model params
config/speech.json — language, speed, voice selection
config/guardrails.json — PII redaction, consent tracking, profanity filter
evaluation/eval.py — Voice quality >90%, Intent accuracy >85%

Tuning Parameters

Voice models and languageIntent thresholdsFallback chainsResponse latency targets (<500ms)Speech rate and pitch

Machine evidence

FrootAI evidence lifecycle

This is an internal evidence maturity label, not third-party certification, accreditation, legal compliance, or a production guarantee. Missing or expired evidence demotes automatically; catalog claims cannot promote a play.

Evidence Expired

designed

build verified

evaluation verified

Deterministic evidence runner

Status: loading. Runs deterministic bounded fixtures at the edge with zero model calls, Azure operations, or cloud mutation.

Enterprise gate

Checks both What-If and production admission using server-derived maturity. It never calls Azure or deploys resources.

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Repo Intelligence

A no-clone, revision-pinned map for agents and humans. Observed evidence is separated from inferred flow so the output stays useful without pretending to be a full call graph.

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