Build a Marketplace Voice Shopping Agent with Kimi K2.5 and Vision Agents
Blog post from Stream
The tutorial demonstrates how to build Riley, a browser-based voice shopping concierge for the fictional Pronto Market marketplace using Kimi K2.5 for reasoning and function calling, Deepgram for speech transcription, ElevenLabs for voice responses, and Vision Agents with Stream WebRTC for orchestration and delivery. Riley can search a mock multi-seller catalog using product, price, rating, and category filters; compare sellers by ratings, delivery times, and return policies; confirm details before adding products to a cart; and retrieve order status by ID or email. The implementation uses a custom speech-to-text, LLM, and text-to-speech pipeline because Kimi lacks a native real-time speech API, while its OpenAI-compatible interface enables tool registration for catalog, seller, cart, and order functions. The guide provides setup requirements, dependency guidance including a temporary Stream SDK version pin, code for in-memory marketplace data and the agent, instructions for launching a browser voice session, and recommendations for replacing mock functions with production catalog, cart, seller, and order-management APIs.
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