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home-llm/TODO.md
Alex O'Connell 67de000326 todo cleanup
2026-01-04 09:46:33 -05:00

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# TODO
- [x] add examples of 'fixing' a failed tool call to the dataset
- [x] add proper 'refusals' to the dataset (i.e. tool/device not available or device is already in the desired state)
- [ ] new model based on qwen3 0.6b, 1.7b and 4b
- [x] new model based on gemma3 270m
- [x] support AI task API
- [x] vision support for remote backends
- [ ] vision support for local backend (llama.cpp + llava)
- [ ] move llamacpp to a separate process because of all the crashing
- [ ] optional sampling parameters in options panel (don't pass to backend if not set)
- [x] update dataset so new models will work with the Assist API
- [ ] make ICL examples into conversation turns
- [ ] translate ICL examples + make better ones
- [ ] figure out DPO to improve response quality
- [x] proper tool calling support
- [x] fix old GGUFs to support tool calling
- [x] home assistant component text streaming support
- [x] move llama-cpp build to forked repo + add support for multi backend builds (no more -noavx)
- [x] support new LLM APIs
- rewrite how services are called
- handle no API selected
- rewrite prompts + service block formats
- implement new LLM API that has `HassCallService` so old models can still work
- [x] areas/room support
- [x] convert requests to aiohttp
- [x] detection/mitigation of too many entities being exposed & blowing out the context length
- [x] setup github actions to build wheels that are optimized for RPIs
- [x] mixtral + prompting (no fine tuning)
- add in context learning variables to sys prompt template
- add new options to setup process for setting prompt style + picking fine-tuned/ICL
- [x] prime kv cache with current "state" so that requests are faster
- [x] ChatML format (actually need to add special tokens)
- [x] Vicuna dataset merge (yahma/alpaca-cleaned)
- [x] Phi-2 fine tuning
- [x] Quantize /w llama.cpp
- [x] Make custom component use llama.cpp + ChatML
- [x] Continued synthetic dataset improvements (there are a bunch of TODOs in there)
- [x] Licenses + Attributions
- [x] Finish Readme/docs for initial release
- [x] Function calling as JSON
- [x] Fine tune Phi-1.5 version
- [x] make llama-cpp-python wheels for "llama-cpp-python>=0.2.24"
- [x] make a proper evaluation framework to run. not just loss. should test accuracy on the function calling
- [x] add more remote backends
- LocalAI (openai compatible)
- Ollama
- support chat completions API (might fix Ollama + adds support for text-gen-ui characters)
- [x] more config options for prompt template (allow other than chatml)
- [x] publish snapshot of dataset on HF
- [x] use varied system prompts to add behaviors
## v0.4 TODO for release:
- [x] re-order the settings on the options config flow page. the order is very confusing
- [x] split out entity functionality so we can support conversation + ai tasks
- [x] fix icl examples to match new tool calling syntax config
- [x] set up docker-compose for running all of the various backends
- [x] config sub-entry implementation
- [x] base work
- [x] generic openai backend
- [x] llamacpp backend
- [x] ollama backend
- [x] tailored_openai backend
- [x] generic openai responses backend
- [x] fix and re-upload all compatible old models (+ upload all original safetensors)
- [x] config entry migration function
- [x] re-write setup guide