Building Effective LLM Agents: Start Simple

Anthropic shares its learnings from building Large Language Model (LLM) agents across various industries. They emphasize the importance of simple, composable patterns over complex frameworks. The post defines agents, differentiating between predefined workflows and dynamically controlled agents. It details several building patterns, including prompt chaining, routing, parallelization, orchestrator-workers, and evaluator-optimizer. It advocates starting with direct LLM API usage, gradually increasing complexity, and highlights the importance of tool engineering and maintaining simplicity and transparency in production.