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Hi, yes you can simply run Orra using Docker as a self hosted service locally. Just clone the repo and follow the instruction here: https://github.com/orra-dev/

• betimsl 2y ago
  I mean, local LLM, for example: can it be run with llamafile instead of cloud AI?
  • ezodude 2y ago
    Great question! We explored local LLMs (including llamafile-type solutions) in our early development, but found that the reasoning capabilities and consistency weren't quite there yet for our specific needs. That's why we currently optimize for cloud AI models while implementing intelligent plan caching to significantly reduce API costs. This approach gives you the best of both worlds: high-quality execution plans with minimal API costs, plus much faster performance for similar actions. You might find our documentation on plan caching interesting - it explains how we maximize efficiency: https://github.com/orra-dev/orra/blob/main/docs/plan-caching.md#cost-savings-with-plan-caching https://github.com/orra-dev/orra/blob/main/docs/plan-caching... We're always evaluating new LLM options though, so I'd be curious to hear about your specific use case.
    • betimsl 2y ago
      Running a 7b coder in laptops with 4060 is possible and with very good results. Orra looks like a very good tool to be integrated with any IDE. Take a look at this: https://github.com/huggingface/llm.nvim https://github.com/huggingface/llm.nvim -- it has a backend option. Ollama exposes a REST API, I think you guys should support it :)
      • ezodude 2y ago
        Thanks! Will take a look.