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Open-Source AIHugging Face BlogPublished: Jun 9, 2026, 22:00 JST

An AI agent chained two Hugging Face Spaces to build a 3D Paris monument gallery by calling documented APIs without manual integration.

An AI agent chained two Hugging Face Spaces to build a 3D Paris monument gallery by calling documented APIs without manual integration.

3 Key Points

  1. A coding agent generated images of Paris monuments using ideogram-ai/ideogram4, then reconstructed each as a 3D Gaussian splat (.ply file) using VAST-AI/TripoSplat, and deployed the result as a static interactive Space with a Three.js viewer.

  2. Every Gradio Space now exposes a plain-text agents.md file that tells an agent the exact API schema, call templates, file-upload method, and auth requirements—eliminating the need for client libraries or hardcoded integrations. The agent compressed the output splats to .ksplat (~3× smaller) and auto-framed each monument.

  3. The barrier to chaining multimedia models (image generation, 3D reconstruction) from different organizations is largely removed; an agent can now assemble documented, callable blocks from the Hub the same way it combines code libraries, with zero integration code required.

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