Kimi K2.5: Build a Video & Vision Agent in Python

Kimi K2.5 from Moonshot AI is an advanced open-source multimodal AI capable of instantaneously interpreting visual data from everyday objects or code shared via a webcam or screen, reasoning through it, and explaining it in natural language. It leverages a vast 1T-parameter MoE model with 256k context and native vision understanding to deliver seamless video, vision, and voice interactions through its integration with Vision Agents and an OpenAI-compatible API. The system allows for real-time voice and vision analysis, enabling users to receive visual descriptions and coding assistance during live interactions. This setup is achieved with a straightforward pipeline involving technologies such as ElevenLabs for text-to-speech, Deepgram for speech-to-text, and Smart-Turn for turn detection, all orchestrated through a WebRTC framework. The process is detailed in a demo that illustrates how to build a similar AI agent in under five minutes, offering a user-friendly interface for natural, low-latency conversations and coding help.