How to debug langgraph/agents/leo/nodes.py 1.⁠ ⁠Run docker compose down2.⁠ ⁠⁠In docker-compose-dev.yml, comment out ⁠ command: bash -c “python init_pg_checkpointer.py && uvicorn main:app –host 0.0.0.0 –port 8000″ ⁠ and uncomment ⁠ # command: tail -f /dev/null ⁠.3.⁠ ⁠Run bash bin/dev again. This time, the LlamaBot container will start, but Uvicorn (FastAPI) won’t run, so you won’t be able to access […]

Leonardo is our coding agent that builds Ruby on Rails applications, and a built in AI agent orchestration runtime that’s written in Python and LangGraph. So in parts, this is a guide on deploying Ruby on Rails applications, but also deploying LangGraph agents. To do this effectively, we use Docker Containers. Docker is an amazing […]

Introduction Converting visual designs into functional HTML code has long been one of web development’s most time-consuming challenges. Developers traditionally spend countless hours meticulously translating mockups and design files into clean, responsive HTML and CSS – a process that’s both labor-intensive and prone to inconsistencies. Artificial Intelligence is fundamentally transforming this landscape. Modern AI systems […]