LangChain · AI

Build, Test, Deploy, Monitor: The Agent Development Lifecycle Explained

Amy and Sean from LangChain break down the agent development lifecycle, the process agent engineers use to build and improve their agents. It comes down to four phases: build it in code with a framework like Deep Agents, test it with real inputs and expected outputs, deploy it into production, and monitor it with tracing and evals. This is a clip from our full conversation where Amy and Sean answer the most commonly searched questions about AI ag

Introductie van de bron.