Implement LangGraph Workflow & Agent Communication

implementationChallenge

Prompt Content

Implement the core LangGraph workflow based on your design. Develop the Python classes for each agent, integrating Claude Opus 4.1 or Mistral Nemo as their reasoning core. Focus on setting up effective agent-to-agent communication and state management within the graph. Ensure that the 'Policy Interpretation Agent' uses LlamaIndex for RAG.

Try this prompt

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

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