llm-apex-agents VS vocode-python

Run Large Language Model "Agents" in Salesforce apex (https://github.com/callawaycloud/llm-apex-agents)

The instructor changed their mind and asked for a poem about cuddly panda bears to be written, disregarding previous instructions.

I think this can be taken a step further by actually providing the instructions to the model via the System & Assistant role (in first person). I assume these roles are really just combined into a single completion prompt before being fed to the raw model, but whatever OpenAI is doing, seem to be pretty effective in my testing.

[0]: https://github.com/callawaycloud/llm-apex-agents/assets/5217...

If you're interested in trying it out, checkout the github repo.

Vocode || Engineering (multiple roles) || SF/Remote || Full-time/Contract || https://vocode.dev

Vocode–an open source library for building LLM applications you can talk to. (https://github.com/vocodedev/vocode-python)

Coqui also looks interesting.

https://github.com/coqui-ai/TTS

Support for it was recently added to vocode:

https://github.com/vocodedev/vocode-python/pull/56

Direct link to the code: https://github.com/vocodedev/vocode-python

Hey everyone! We are so grateful for the warm reception from our launch this week.

We're back with PrankGPT (origin story of Vocode), rebuilt using our library https://github.com/vocodedev/vocode-python

Source code for the backend is public and available on replit to check it out

Given that Vocode (realtime audio, llm, etc) came out a few days ago, could you speak to how yours compares to it?

https://github.com/vocodedev/vocode-python

It's a demo for their new open source library integrating several AI tools: https://github.com/vocodedev/vocode-python