With Home Assistant we plan to integrate similar functionality this year out of the box. OP touches upon some good points that we have also ran into and I would love the local LLM community to solve:
* I would love to see a standardized API for local LLMs that is not just a 1:1 copying the ChatGPT API. For example, as Home Assistant talks to a random model, we should be able to query that model to see what the model is capable off.
* I want to see local LLMs with support for a feature similar or equivalent to OpenAI functions. We cannot include all possible information in the prompt and we need to allow LLMs to make actions to be useful. Constrained grammars do look like an possible alternative. Creating a prompt to write JSON is possible but need quite an elaborate prompt and even then the LLM can make errors. We want to make sure that all JSON coming out of the model is directly actionable without having to ask the LLM what they might have meant for a specific value.
With Home Assistant we plan to integrate similar functionality this year out of the box. OP touches upon some good points that we have also ran into and I would love the local LLM community to solve:
* I would love to see a standardized API for local LLMs that is not just a 1:1 copying the ChatGPT API. For example, as Home Assistant talks to a random model, we should be able to query that model to see what the model is capable off.
* I want to see local LLMs with support for a feature similar or equivalent to OpenAI functions. We cannot include all possible information in the prompt and we need to allow LLMs to make actions to be useful. Constrained grammars do look like an possible alternative. Creating a prompt to write JSON is possible but need quite an elaborate prompt and even then the LLM can make errors. We want to make sure that all JSON coming out of the model is directly actionable without having to ask the LLM what they might have meant for a specific value.