Introducing ActionWeaver, a library for scaling and orchestrating OpenAI functions for LLM agent

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Hey guys,

I’m excited to share a project I’ve been working on and would greatly appreciate your feedback!

ActionWeaver is a cool library that makes it easy to scale up and orchestrate OpenAI functions. With a simple decorator, you can turn ANY regular Python code into OpenAI functions. Moreover, you can go beyond the OpenAI function limit by constructing hierarchies and chains of functions, adding a significant boost to agent capabilities.

Here is a quick demo built with ActionWeaver, OpenAI functions, and vanilla Python code.

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That looks super powerful, hopefully I’ll get some time to try it out.

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Thanks! Keep me posted on how it’s working and any ideas to make it solve problems even better.

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Hey, I’m starting the process of migrating my scripts and personas into agents.
I’m excited and hoping for good results.

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Awesome! Let me know if you run into any issues, love to collaborate!

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Would love to collaborate with you on this. You certainly will know the ends and outs.

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A RAG bot can retrieves content on demand, it uses ActionWeaver to orchestrate llama index and langchain tools to implement a new search experience.

Github

Interactive RAG Demo

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Hello @Foxalabs, wondering if you had the opportunity to take a look at it. Love to hear your feedback.

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Not yet, It’s on my list! Hopefully have a project that I’ll try it out with coming up soon.

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leaving a note. tocome back for this over the weekend.

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ActionWeaver, AI application framework that put function-calling as first-class feature, has just launched a new version, supporting OpenAI API and Azure OpenAI service!

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@Foxalabs @brianjking We just released 0.0.16 that supports parallel function calling !!!

I’d like to invite you guys to give it a shot and let us know your opinions !

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