Mercury 2 Cookbook Builds Support Voice Agents

// 1h agoTUTORIAL

Mercury 2 Cookbook Builds Support Voice Agents

Inception’s cookbook combines Mercury 2 with ElevenLabs speech-to-text and text-to-speech to build a low-latency customer-support voice agent with streaming responses and database tool calls.

// ANALYSIS

The compelling idea is optimizing the entire voice loop—not just speech synthesis—so reasoning, retrieval, and spoken responses feel conversational. [Mercury voice overview](https://www.inceptionlabs.ai/voice-applications)

–Streaming Mercury output into TTS can reduce perceived response latency
–Database tool calls make the demo relevant to real support workflows
–Mercury’s OpenAI-compatible API lowers integration costs for existing agent stacks
–Production deployments still need interruption handling, observability, authentication, and safeguards around customer data

// TAGS

mercury-2elevenlabsvoice-agenttool-usestreamingspeechttsstt

DISCOVERED

1h ago

2026-08-28

PUBLISHED

1h ago

2026-08-28

RELEVANCE

9/ 10

AUTHOR

_inception_ai

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