Pocket Flow: Minimalist LLM Orchestration Framework

Core Abstraction: Pocket Flow introduces a graph-based abstraction for LLM workflows, comprising `Nodes` for tasks, `Flows` for connecting nodes via labeled `Actions`, and a `Shared Store` for inter-node communication. This allows modeling LLM applications as a graph.
Design Patterns: The framework implements common design patterns such as `Agent` (autonomous decision-making), `Workflow` (task pipelines), `RAG` (retrieval-augmented generation), `Map Reduce` (data task splitting), `Structured Output` (consistent formatting), and `Multi-Agents` (coordinated agents).
Implementation Details: Pocket Flow is implemented in approximately 100 lines of code with zero dependencies, avoiding vendor lock-in. It models LLM workflows as a graph and relies on external APIs for LLM interaction and other utilities, promoting flexibility.
Performance: The framework is lightweight due to its minimal code base. Optimizations such as prompt caching, batching, and streaming are left to the user to implement.
Limitations: Pocket Flow lacks built-in utility functions (e.g., LLM wrappers, web search, chunking, embedding, vector databases), requiring user implementation. Asynchronous and parallel node/flow implementations are not detailed.
Additional Insights: According to additional sources, Pocket Flow supports batch processing for data-intensive tasks, and asynchronous/parallel processing for I/O-bound tasks, though implementation details are not specified in the main content.

Source:

https://github.com/the-pocket/PocketFlow