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Discord Submission Draft

Hey everyone, I shipped Toy Room v3: Fire Boy Virtual Pet for Build Small Hackathon.

It is a tiny Talking Tom / Pokemon-like toy room where Fire Boy is the single controllable character. He uses a rigged unclothed GLB mesh as the live body, speaks in a babyish voice, and turns commands into visible room actions.

Demo commands:

  • "Fire Boy, pick up the box"
  • "Fire Boy, fireball the cube"
  • "Fire Boy, run around the toy room"

What is load-bearing AI here:

  • The app sends a compact scene payload to /api/pet-action.
  • The brain returns strict PET action JSON: speech, emotion, animation, interaction verb, power, spell ops, sound, and debug timings.
  • The renderer executes that JSON as Three.js/Cannon physics changes, rig clips, particles, projectile fireballs, object pickup/carry, and speech.
  • The runtime panel shows which brain is active, whether vision is configured, how long the loop took, and how many state ops ran.

MiniCPM / Modal / Codex:

  • The shipped demo currently runs reliably in trace-retrieval plus heuristic mode.
  • MiniCPM/OpenAI-compatible PET LLM and MiniCPM-V visual cortex hooks are implemented behind endpoint variables/secrets.
  • minicpm-v-serverless/ contains a ModelBest/OpenBMB MiniCPM-V 4.6 helper and API tester.
  • modal-minicpm-omni/ deploys openbmb/MiniCPM-o-4_5 on Modal with an L40S GPU, Modal Volume, and Modal Secret.
  • The repo has Codex-attributed commits for the v3 toy room, Fire Boy command loop, MiniCPM-V helper, and submission docs.

Links:

  • Space: https://build-small-hackathon-toy-room-v3.hf.space/toy-v3
  • GitHub: https://github.com/sanjuhs/build-small-hackathon-v1
  • Demo MP4: https://huggingface.co/spaces/build-small-hackathon/toy-room-v3/resolve/main/demo/fire-boy-v3-demo.mp4
  • Architecture notes: docs/virtual-toy-v3-architecture.md
  • Prize evidence: docs/prize-qualification.md

Target prizes: Best MiniCPM Build, Best Use of Modal, Best Use of Codex, Best Agent, Off Brand, and Best Demo.