04-agent-workflows-and-orchestration.md

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title	Chapter 4: Agent Workflows and Orchestration
nav_order	4
parent	Langflow Tutorial

Chapter 4: Agent Workflows and Orchestration

Welcome to Chapter 4: Agent Workflows and Orchestration. In this part of Langflow Tutorial: Visual AI Agent and Workflow Platform, you will build an intuitive mental model first, then move into concrete implementation details and practical production tradeoffs.

Langflow supports multi-step orchestration patterns for agentic systems that require tool usage, branching, and retrieval.

Orchestration Model

1. capture user intent
2. route through model/tool/retrieval nodes
3. execute conditional branches
4. synthesize and validate result

Pattern Guidance

• keep deterministic sections explicit
• isolate high-latency tool calls behind clear boundaries
• track failure and retry behavior at node level

Source References

• Langflow Feature Overview

Summary

You now know how to structure robust Langflow orchestration beyond simple demo chains.

Next: Chapter 5: API and MCP Deployment

How These Components Connect

flowchart TD
    A[Agent flow in Langflow] --> B[Agent component]
    B --> C[LLM node]
    B --> D[Tool nodes]
    D --> E[Search tool]
    D --> F[Code execution tool]
    D --> G[Custom tool]
    C --> H[ReAct reasoning loop]
    H --> I[Select and invoke tool]
    I --> J[Observe result]
    J --> H
    H --> K[Final answer]

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