Article
Building Effective Agents
anthropic.com
- Workflows are systems where LLMs and tools are orchestrated through predefined code paths.
- Agents, on the other hand, are systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks.
- Agentic systems often trade latency and cost for better task performance, and you should consider when this tradeoff makes sense.
- workflows offer predictability and consistency for well-defined tasks, whereas agents are the better option when flexibility and model-driven decision-making are needed at scale.
- There are many frameworks that make agentic systems easier to implement, including: • LangGraph from LangChain; • Amazon Bedrock’s AI Agent framework; • Rivet, a drag and drop GUI LLM workflow builder; and • Vellum, another GUI tool for building and testing complex workflows.