mmanningau 2f9b00ae29 Have settled on testing and using the Qwen2.5:1.5b model as it plays much nicer with the JSON requirements - way better than the Gemma models did. Have refined the calls via LlmManager.kt and MediaPipeAdapter.kt and tested using battery, ping and a new weather skill. Half way through updating further to allow for SMS reading and updating the SkillManager.kt again to accommodate this with a two-pass bridge for python calling.

2026-03-05 15:13:56 +11:00

..

src

Have settled on testing and using the Qwen2.5:1.5b model as it plays much nicer with the JSON requirements - way better than the Gemma models did. Have refined the calls via LlmManager.kt and MediaPipeAdapter.kt and tested using battery, ping and a new weather skill. Half way through updating further to allow for SMS reading and updating the SkillManager.kt again to accommodate this with a two-pass bridge for python calling.

2026-03-05 15:13:56 +11:00

.gitignore

Initial empty project commit.

2026-02-25 11:21:42 +11:00

build.gradle.kts

Check in part way through the engine update to MediaPipe. Have the system working and now troubleshooting the LLM models and sizes and how they handle the JSON and tool calling loops...Check in to allow dev on the laptop as well from here.

2026-03-04 18:58:03 +11:00

proguard-rules.pro

Initial empty project commit.

2026-02-25 11:21:42 +11:00