OpenClaw Agent Loop: Execution Cycle, Streaming & Queue
A single agent execution: receive message → assemble context → model inference → tool execution → stream response → persist. Each session runs serially, with 5 queue modes supported.
A single agent execution: receive message → assemble context → model inference → tool execution → stream response → persist. Each session runs serially, with 5 queue modes supported.
Building a chatbot is more than just calling an API. Conversation state management, memory mechanisms, streaming, guardrails, observability, and tech stack selection — every layer affects the user experience.
LLM generation takes 3-5 seconds, and waiting for the full response before displaying it makes for a terrible experience. SSE pushes tokens as they're generated, reducing time-to-first-character from 5 seconds to under 1 second.