When a user sends a vague request like “collect 20 stone blocks”, how does a Minecraft bot know what to actually do?
Answer: We let AI figure it out.
We’ve integrated Azure OpenAI into our automation pipeline to break down high-level goals into executable task sequences. The bot doesn’t just blindly follow commands… it plans!
The Planning Pipeline
When a goal arrives via our Logic App:
- Azure Function receives the goal
- OpenAI breaks it into step-by-step tasks
- Service Bus queues the planned order
- Minecraft Bot executes using A* pathfinding
User: “collect 20 stone blocks”
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AI Planner → tasks: [{ type: “collect”, params: { itemType: “stone”, quantity: 20 }}]
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Bot executes with A* navigation algorithm
Our bot uses implements the classic A (A-star) search algorithm* to navigate the Minecraft world:
- A* finds the optimal path to destinations
- BFS (Breadth-First Search) locates nearby blocks to mine
- Stuck detection with automatic recovery maneuvers
- Self-preservation system monitors health, oxygen, and hostile mobs
The AI plans the what. The algorithms handle the how.
Instead of hardcoding every possible command, we let the LLM interpret natural language and generate valid task sequences. The bot becomes smarter without more code.