Implement LangGraph State Machine

implementationChallenge

Prompt Content

Implement the core state machine for the AR assistant using `LangGraph`. Define states for 'listening', 'processing_query', 'navigating', 'displaying_info', etc. Detail how state transitions occur based on user input and `Gemini 2.5 Pro` outputs, ensuring context persistence across turns.

Try this prompt

Open the workspace to execute this prompt with free credits, or use your own API keys for unlimited usage.

Related Prompts

Explore similar prompts from our community

Architect Multimodal Input Pipeline

planning

Integrate Gemini 2.5 Pro for Reasoning

implementation

Optimize and Deploy with TFLite

deployment

Usage Tips

Copy the prompt and paste it into your preferred AI tool (Claude, ChatGPT, Gemini)

Customize placeholder values with your specific requirements and context

For best results, provide clear examples and test different variations