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minima

minima

Created by team Tech debt on July 08, 2026

AI/ML API AgentOps

Hybrid Token-Efficient Routing Agent

Minima is a compact token efficient routing agent for Track 1 of the AMD Developer Hackathon. It reads hidden natural-language tasks from /input/tasks.json, classifies each prompt into one of the required categories, and routes the task to the appropriate model from the provided ALLOWED_MODELS list. The goal is to maintain answer quality and keep Fireworks token usage low. The agent is built around conservative routing, category specific prompts, output validation, and a fallback path for malformed responses. It never hardcodes model IDs, never stores secrets, and sends all Fireworks requests through the provided FIREWORKS_BASE_URL. Results are written only as the required JSON schema: task_id and answer.

Category tags:

Agent Builder track - The INTERNET OF AGENTS

Github Presentation Demo

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good tingood tingood tingood tingood tingood tingood tingood tingood tingood tingood tin

LFG

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Run an untrusted npm/PyPI package, GitHub repo, or URL in a sealed, disposable Vultr sandbox. Watch what it does and get a verdict based on its actual behaviour. Every escape attempt is contained and recorded.

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Containment Foreman - sandboxed agent runtime

A human-gated foreman that plans AI agent tasks, dispatches each step to a disposable, network-less Docker sandbox, and returns verifiable receipts with SHA-256 artifacts, resource caps and zero host access.

Schultzenator

Ghostfox Zero: Browser Agent

A sandboxed browser agent powered by our own Firefox engine. True agentic loop with vision verification, human approval gate, and MCP endpoint for AI agents.

autokeren

AgentOpsAIMLVULTR

LeakProof

Finds revenue leaks in billing exports without letting the data leak: model-written pandas runs in a throwaway gVisor sandbox on Vultr (no network, no secrets, hard limits), a second model checks every sentence, and each answer has a re-runnable receipt.

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AI app: minima for AMD Developer Hackathon: ACT II