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Patterns #19559

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88 changes: 88 additions & 0 deletions src/content/docs/agents/patterns.mdx
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---
pcx_content_type: concept
title: Patterns
sidebar:
order: 3
head: []
---

import { GitHubCode } from "~/components";

Common patterns for implementing AI agents, based on [Anthropic's patterns for building effective agents](https://www.anthropic.com/research/building-effective-agents).

Code samples use the [AI SDK](https://sdk.vercel.ai/docs/foundations/agents), running in [Durable Objects](/durable-objects).

## Prompt Chaining

Decomposes tasks into a sequence of steps, where each LLM call processes the output of the previous one.

![Figure 1: Prompt Chaining](~/assets/images/agents/01-prompt-chaining.jpg)

[**Interactive Demo**](https://ai.cloudflare.com/anthropic-agent-patterns)

<GitHubCode
repo="cloudflare/agents"
file="guides/anthropic-patterns/src/flows/01 sequential.txt"
commit="56fb801dc8f980f080b36fcdbd94005099829495"
lang="ts"
/>

## Routing

Classifies input and directs it to specialized followup tasks, allowing for separation of concerns.

![Figure 2: Routing](~/assets/images/agents/2_Routing.jpg)

[**Interactive Demo**](https://ai.cloudflare.com/anthropic-agent-patterns)

<GitHubCode
repo="cloudflare/agents"
file="guides/anthropic-patterns/src/flows/02 routing.txt"
commit="56fb801dc8f980f080b36fcdbd94005099829495"
lang="ts"
/>

## Parallelization

Enables simultaneous task processing through sectioning or voting mechanisms.

![Figure 3: Parallelization](~/assets/images/agents/3_Parallelization.jpg)

[**Interactive Demo**](https://ai.cloudflare.com/anthropic-agent-patterns)

<GitHubCode
repo="cloudflare/agents"
file="guides/anthropic-patterns/src/flows/03 parallel.txt"
commit="56fb801dc8f980f080b36fcdbd94005099829495"
lang="ts"
/>

## Orchestrator-Workers

A central LLM dynamically breaks down tasks, delegates to worker LLMs, and synthesizes results.
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Suggested change
A central LLM dynamically breaks down tasks, delegates to worker LLMs, and synthesizes results.
A central LLM dynamically breaks down tasks, delegates to Worker LLMs, and synthesizes results.

Issues:

  • Style Guide - (Terms-error) Use 'Worker' instead of 'worker'.

Fix Explanation:

The term 'worker' should be capitalized to 'Worker' according to the style guide recommendation. This is a straightforward capitalization fix.


![Figure 4: Orchestrator Workers](~/assets/images/agents/4_Orchestrator-Workers.jpg)

[**Interactive Demo**](https://ai.cloudflare.com/anthropic-agent-patterns)

<GitHubCode
repo="cloudflare/agents"
file="guides/anthropic-patterns/src/flows/04 orchestrator.txt"
commit="56fb801dc8f980f080b36fcdbd94005099829495"
lang="ts"
/>

## Evaluator-Optimizer

One LLM generates responses while another provides evaluation and feedback in a loop.

![Figure 5: Evaluator-Optimizer](~/assets/images/agents/5_Evaluator-Optimizer.jpg)

[**Interactive Demo**](https://ai.cloudflare.com/anthropic-agent-patterns)

<GitHubCode
repo="cloudflare/agents"
file="guides/anthropic-patterns/src/flows/05 evaluator.txt"
commit="56fb801dc8f980f080b36fcdbd94005099829495"
lang="ts"
/>
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