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Kristopher Overholt
48 lines
2.1 KiB
Markdown
48 lines
2.1 KiB
Markdown
# Workflow Agents
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This section introduces "*workflow agents*" - **specialized agents that control the execution flow of its sub-agents**.
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Workflow agents are specialized components in ADK designed purely for **orchestrating the execution flow of sub-agents**. Their primary role is to manage *how* and *when* other agents run, defining the control flow of a process.
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Unlike [LLM Agents](../llm-agents.md), which use Large Language Models for dynamic reasoning and decision-making, Workflow Agents operate based on **predefined logic**. They determine the execution sequence according to their type (e.g., sequential, parallel, loop) without consulting an LLM for the orchestration itself. This results in **deterministic and predictable execution patterns**.
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ADK provides three core workflow agent types, each implementing a distinct execution pattern:
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<div class="grid cards" markdown>
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- :material-console-line: **Sequential Agents**
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---
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Executes sub-agents one after another, in **sequence**.
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[:octicons-arrow-right-24: Learn more](sequential-agents.md)
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- :material-console-line: **Loop Agents**
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---
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**Repeatedly** executes its sub-agents until a specific termination condition is met.
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[:octicons-arrow-right-24: Learn more](loop-agents.md)
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- :material-console-line: **Parallel Agents**
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---
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Executes multiple sub-agents in **parallel**.
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[:octicons-arrow-right-24: Learn more](parallel-agents.md)
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</div>
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## Why Use Workflow Agents?
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Workflow agents are essential when you need explicit control over how a series of tasks or agents are executed. They provide:
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* **Predictability:** The flow of execution is guaranteed based on the agent type and configuration.
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* **Reliability:** Ensures tasks run in the required order or pattern consistently.
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* **Structure:** Allows you to build complex processes by composing agents within clear control structures.
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While the workflow agent manages the control flow deterministically, the sub-agents it orchestrates can themselves be any type of agent, including intelligent `LlmAgent` instances. This allows you to combine structured process control with flexible, LLM-powered task execution.
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