How to Give an LLM Agent a Browser

Building an LLM agent that can use a web browser involves an 'observe, decide, act' loop where the agent interprets the browser state and sends back actions. This process is demonstrated using the OpenAI Agents SDK and Playwright MCP, which provides structured page information and element-targeted actions. A practical case study involves an agent autonomously resolving a customer support ticket by navigating a web-based console. The agent investigates the case, determines the correct resolution based on policies, and confirms the action was recorded.