Build a Multi-Modal AI Agent with GPU-Bridge (LLMs + Image + Audio)

Build a Multi-Modal AI Agent with GPU-Bridge (LLMs + Image + Audio) Multi-modal AI agents that can see, hear, speak, and reason are one of the most exciting developments in AI. In this tutorial, we'll build one from scratch using GPU-Bridge. By the end, you'll have a Python agent that: Analyzes an image using LLaVA-34B (visual Q&A) Transcribes audio using Whisper Large v3 Generates a response using Llama 3.1 70B Converts the response to speech using XTTS v2 voice cloning All powered by real GPUs via the GPU-Bridge API . Prerequisites pip install requests x402-client # x402-client optional Get an API key at gpubridge.xyz . The Complete Agent import requests , base64 , json from pathlib import Path API_KEY = " your_gpu_bridge_api_key " BASE_URL = " https://api.gpubridge.xyz/v1 " headers = { " Authorization " : f " Bearer { API_KEY } " , " Content-Type " : " application/json " } def gpu_run ( service : str , input_data : dict ) -> dict : resp = requests . post ( f " { BASE_URL } /run " ,