Agentic AI Design Patterns

This section covers design patterns for building agentic AI systems that combine LLMs with tools, data, and structured logic to perform complex tasks autonomously.

• Prompt Chaining: Decompose complex tasks into sequences of focused prompts to improve reliability and control.
• Routing Pattern: Implement conditional decision-making to dynamically select among multiple actions based on input analysis.
• Parallelization Pattern: Execute independent workflow components concurrently to reduce overall latency and improve efficiency.
• Reflection Pattern: Introduce iterative self-evaluation and refinement loops to enhance output quality and adherence to complex requirements.
• Tool Use Pattern: Enable structured invocation of external functions, APIs, or agents to extend capabilities beyond text generation.

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