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Mini LLM Flow

A 100-line minimalist LLM framework for Agents, Task Decomposition, RAG, etc.

Core Abstraction

We model the LLM workflow as a Nested Directed Graph:

  • Nodes handle simple (LLM) tasks.
  • Nodes connect through Actions (labeled edges) for Agents.
  • Flows orchestrate a directed graph of Nodes for Task Decomposition.
  • A Flow can be used as a Node (for Nesting).
  • Batch Nodes/Flows for data-intensive tasks.
  • Async Nodes/Flows allow waits or Parallel execution

To learn more:

LLM Wrapper & Tools

We DO NOT provide built-in LLM wrappers and tools!

I believe it is a bad practice to provide low-level implementations in a general framework:

  • APIs change frequently. Hardcoding them makes maintenance a nightmare.
  • You may need flexibility. E.g., using fine-tunined LLMs or deploying local ones.
  • You may need optimizations. E.g., prompt caching, request batching, response streaming...

We provide some simple example implementations:

Paradigm

Based on the core abstraction, we implement common high-level paradigms:

  • Structured Output
  • Task Decomposition
  • RAG
  • Chat Memory
  • Map Reduce
  • Agent
  • Multi-Agent
  • Evaluation

Example Projects

  • Coming soon ...