Create and configure NodeTool agent YAML configs, set up agent tools, system prompts, planning agents, and workspace isolation. Use when user asks to create an agent config, write YAML for an agent, configure agent tools, set up autonomous execution, or work with the agent CLI.
Use NodeTool REST API, WebSocket protocol, Chat API (OpenAI-compatible), workflow execution endpoints, and streaming responses. Use when user asks about API endpoints, WebSocket protocol, how to call the API, build a client, integrate with NodeTool, or stream workflow results.
Create browser automation agents that navigate websites, extract data, fill forms, and perform multi-step web tasks using natural language instructions. Use when user asks to automate browsing, scrape websites with AI, build a web agent, or perform complex browser interactions.
Use NodeTool chat CLI commands, interactive terminal, agent mode, workspace management, and Global Chat features. Use when user asks about chat commands, interactive terminal, chat features, agent mode in chat, or the Global Chat interface.
Create custom NodeTool nodes, implement BaseNode subclasses, use @prop decorators, build node packages with process/genProcess methods, register nodes, handle media refs and secrets. Use when user asks to create a node, add a node type, build a custom node, implement a processor, or extend NodeTool with new functionality.
Deploy NodeTool servers using Docker, SSH, RunPod, GCP, or Supabase. Use when user asks to deploy, host, set up a server, configure Docker, use RunPod/GCP/Supabase, manage deployment.yaml, or configure environment variables for production.
Configure AI model providers (OpenAI, Anthropic, Gemini, Ollama, HuggingFace, FAL, Replicate), set up API keys, choose models by task, run local inference with llama.cpp/MLX. Use when user asks about models, providers, API keys, which model to use, or configure any AI provider.
Set up RAG pipelines, vector indexing, document ingestion, vector search, and knowledge base creation in NodeTool. Use when user asks about RAG, document indexing, vector search, chat with documents, knowledge base, embeddings, or collection management.