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Right...there are lots of ways you could do that. Most of the ways we've seen enabling that sort of thing tend to be programmatic in nature. That's great for some people, but you have to deal with shifting dependencies, sorting out bugs, making sure everything connects properly, etc. Some people will want that for sure, because you do get control over every little piece.

LlamaFarm provides an abstraction over most (eventually all) of those pieces. Something that should work out of the box wherever you deploy it but with various knobs to customize as needed (we're working on an agent to help you with this as well).

In your example (alarm monitoring), I think right now you'd still need to write the agent, but you could use LlamaFarm to deploy an LLM that relied on increasingly accurate examples in RAG and very easily adjust your system prompt.



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