KoalaTrapLord 8dd9623417 feat: inject simulation-learned weights into deck builder LLM prompts (#113) ...

Closes #112

- Add sim_insights.py to translate learned_weights.json into LLM prompt text
- Add sim_context param to suggest_cards() and enforce_deck_ratios() in ollama_client.py
- Wire get_sim_insights() into build_deck pipeline (Steps 4 & 6)
- Fully backwards compatible — no-op until real sim data exists

2026-03-27 02:27:42 -04:00

..

api

feat: inject simulation-learned weights into deck builder LLM prompts (#113)

2026-03-27 02:27:42 -04:00

core

feat(phase-6): implement deck assembler (Ollama JSON parser)

2026-03-19 11:32:14 -04:00

pipeline

feat: inject simulation-learned weights into deck builder LLM prompts (#113)

2026-03-27 02:27:42 -04:00

__init__.py

feat(phase-8): add deck_builder package init with public API

2026-03-19 11:28:08 -04:00

adapter.py

docs: fix adapter.py docstring to reference lab_api.py instead of deleted lab_api_new.py

2026-03-20 12:19:07 -04:00

main.py

feat(phase-9): implement FastAPI + CLI entrypoint

2026-03-19 11:29:29 -04:00