Build event-driven workflows with Python async functions

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I noticed the new feature of llama-index: the event-driven workflow[1], which allows for building agents based on LLMs. I think the concept of an event-driven workflow is cool, but I don't find the way llama-index implements it to be intuitive. Therefore, I wrote a simple prototype to demonstrate what I believe is the correct approach. It supports the following features with just a few lines of code: - Multi-Recv: it supports an event to listen on a group of other events(or self), and triggered only when the group of events produced the results - Parallel Execution: using python event loop - Dynamic dispatch: it's a cool feature I think. You can use signals like goto or abort to change the event's return behaviors. [1]: https://www.llamaindex.ai/blog/introducing-workflows-beta-a-...

Visit product View on Hacker NewsSep 17, 2024

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