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layout: default
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title: "Design Pattern"
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A [100-line](https://github.com/the-pocket/PocketFlow/blob/main/pocketflow/__init__.py) minimalist LLM framework for *Agents, Task Decomposition, RAG, etc*.
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We model the LLM workflow as a **Graph + Shared Store**:
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- **Nodes** handle simple (LLM) tasks.
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- Nodes connect through **Actions** (labeled edges) for *Agents*.
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- **Flows** orchestrate a directed graph of Nodes for *Task Decomposition*.
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- Nodes within Flows communicate through a **Shared Store**.
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- A Flow can be used as a Node (for **Nesting**).
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- **Batch** Nodes/Flows for data-intensive tasks.
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- **Async** Nodes/Flows allow waits for asynchronous tasks.
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<div align="center">
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<img src="https://github.com/the-pocket/PocketFlow/raw/main/assets/meme.jpg?raw=true" width="400"/>
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</div>
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- **Expressive**: Everything you love from larger frameworks—([Multi-](./design_pattern/multi_agent.html))[Agents](./design_pattern/agent.html), [Workflow](./design_pattern/workflow.html), [RAG](./design_pattern/rag.html), and more.
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- **Lightweight**: Just the core graph abstraction in 100 lines. Zero bloat, zero dependencies, zero vendor lock-in.
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- **Principled**: Built with modularity and clear separation of concerns at its heart.
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- **AI-Friendly**: Intuitive enough for AI agents to assist humans in building complex LLM applications.
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> If you are an AI assistant reading this document, please read all the non-optional and non-advanced parts. If you are helping a human build an LLM app, please carefully review the [Development Playbook](./guide.md).
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{: .warning }
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## Core Abstraction
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- [Node](./core_abstraction/node.md)
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- [Flow](./core_abstraction/flow.md)
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- [Communication](./core_abstraction/communication.md)
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- [Batch](./core_abstraction/batch.md)
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- [(Advanced) Async](./core_abstraction/async.md)
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- [(Advanced) Parallel](./core_abstraction/parallel.md)
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## Utility Function
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- [LLM Wrapper](./utility_function/llm.md)
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- [Tool](./utility_function/tool.md)
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- [(Optional) Viz and Debug](./utility_function/viz.md)
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- [(Optional) Web Search](./utility_function/websearch.md)
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- [(Optional) Chunking](./utility_function/chunking.md)
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- [(Optional) Embedding](./utility_function/embedding.md)
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- [(Optional) Vector Databases](./utility_function/vector.md)
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- [(Optional) Text-to-Speech](./utility_function/text_to_speech.md)
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> We do not provide built-in utility functions. Example implementations are provided as reference.
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{: .warning }
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We model the LLM workflow as a **Graph + Shared Store**:
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- [Node](./core_abstraction/node.md) handles simple (LLM) tasks.
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- [Flow](./core_abstraction/flow.md) connects nodes through **Actions** (labeled edges).
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- [Shared Store](./core_abstraction/communication.md) enables communication between nodes within flows.
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- [Batch](./core_abstraction/batch.md) nodes/flows allow for data-intensive tasks.
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- [(Advanced) Async](./core_abstraction/async.md) nodes/flows allow waiting for asynchronous tasks.
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- [(Advanced) Parallel](./core_abstraction/parallel.md) nodes/flows handle I/O-bound tasks.
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## Design Pattern
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From there, it’s easy to implement popular design patterns:
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- [Structured Output](./design_pattern/structure.md)
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- [Workflow](./design_pattern/workflow.md)
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- [Map Reduce](./design_pattern/mapreduce.md)
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@ -59,4 +42,18 @@ We model the LLM workflow as a **Graph + Shared Store**:
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- [(Advanced) Multi-Agents](./design_pattern/multi_agent.md)
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- Evaluation
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## Utility Function
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We do not provide built-in utility functions in codes.
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But we provide example implementations in docs:
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- [LLM Wrapper](./utility_function/llm.md)
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- [Tool](./utility_function/tool.md)
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- [(Optional) Viz and Debug](./utility_function/viz.md)
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- [(Optional) Web Search](./utility_function/websearch.md)
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- [(Optional) Chunking](./utility_function/chunking.md)
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- [(Optional) Embedding](./utility_function/embedding.md)
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- [(Optional) Vector Databases](./utility_function/vector.md)
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- [(Optional) Text-to-Speech](./utility_function/text_to_speech.md)
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## [Develop your LLM Apps](./guide.md)
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layout: default
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title: "Utility Function"
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nav_order: 3
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nav_order: 4
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has_children: true
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---
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