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AI & Machine Learning · Intermediate

Workflow Orchestration

Coordinating LLM calls and tools through predefined code paths such as chaining, routing and parallelization.

Definition

Workflows are predictable and easier to test than open-ended agents. Common patterns are prompt chaining, routing to specialized handlers, parallel sectioning or voting, and evaluator-optimizer loops. Frameworks include LangGraph, AWS Step Functions and Bedrock Flows.

Exam tip

Use workflows for well-defined tasks; use agents when steps cannot be predicted.

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