To build effective AI agents, developers create organized workflows that combine agents, tools, and control-flow logic for task management. The process begins by utilizing Agent Builder to design workflows, where nodes serve as essential building blocks. Developers can choose from various workflow templates and employ the Preview feature for testing, enabling them to debug workflows in real-time. It’s crucial to be aware of risks like prompt injection and data leakage; Agent Builder provides safety measures to mitigate these issues. Once satisfied, developers can publish their workflow to generate a new version, and seamlessly integrate it into ChatKit for enhanced chat experiences. Deployment options are available through the top navigation, where users can either use the ChatKit quickstart or copy workflow code for advanced customization via their own infrastructure. Overall, Agent Builder streamlines the workflow creation, assessment, and deployment process, making it easier for developers to enhance their AI solutions.
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