Workflows and Agents

Workflows and Agents

https://langchain-ai.github.io/langgraph/tutorials/workflows/

This guide reviews common patterns for agentic systems. In describing these systems, it can be useful to make a distinction between "workflows" and "agents". One way to think about this difference is nicely explained in Anthropic's Building Effective Agents blog post:

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.

Here is a simple way to visualize these differences:

When building agents and workflows, LangGraph offers a number of benefits including persistence, streaming, and support for debugging as well as deployment.

 

• Set up
• Building Blocks: The Augmented LLM
• Prompt chaining
• Parallelization
• Routing
• Orchestrator-Worker
• Evaluator-optimizer
• Agent
  • Pre-built
• What LangGraph provides
  • Persistence: Human-in-the-Loop
  • Persistence: Memory
  • Streaming
  • Deployment

智能体的六种设计模式

https://www.bilibili.com/video/BV1FrwReHEo2?spm_id_from=333.788.videopod.sections&vd_source=41b9bfb5ef0a4175a4cb4170a475f680