# VendEnv

- **Event:** [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf)
- **When:** Mar 7 at 9:00 AM – Mar 8 at 12:00 AM (PST)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Robert Amanfu](https://cerebralvalley.ai/u/ramanfu)
- **GitHub:** https://github.com/retroam/vendsim-vb2/tree/main
- **Website:** https://drive.google.com/file/d/1IsONrH5A7sR1ru7eKfc1qWdSRDx8ghhG/view?usp=sharing
- **Demo video:** https://youtu.be/m2OVtpXOZ4U
- **Hugging Face:** https://huggingface.co/spaces/retroam/vendsim-vb2
- **Gallery:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/22

VendSim VB2 is an OpenEnv 0.2.1 environment that drops an LLM agent into a 365-day vending machine business simulation. The agent starts with $500 and must maximize its bank balance by setting prices across 5 products, negotiating with adversarial suppliers, managing inventory through a delegated sub-agent, and surviving daily fees, weather-driven demand shifts, and seasonal fluctuations.



The environment features an MCP tool-calling interface with 16 tools spanning pricing, supplier negotiation, inventory management, and a scratchpad memory system. Rewards scale uncapped with agent performance — a skilled agent can grow net worth well beyond the starting capital, while poor decisions lead to bankruptcy. We train with GRPO using Unsloth on a Qwen2.5-1.5B model, demonstrating measurable improvements in pricing decisions and revenue generation over the training steps.

---

Markdown version of https://cerebralvalley.ai/e/openenv-hackathon-sf/hackathon/gallery/22. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt