fix(deploy): harden HF Space build — git, MLflow off, seed artifacts early

fix(docker): install CPU-only torch to avoid 2GB NVIDIA CUDA wheels in HF Space build

feat(deploy): demo-artifact seeding for Hugging Face Space build + entrypoint

fix(demo): wire every showcase path end-to-end with auto-resolved artifacts

feat(researcher): DCE-MRI BBB permeability bridge + drug-dose adjuster

fix(mri): try weights_only=True first; fall back only for trusted module pickles

docs(readme): document MRI 2D, clinical RAG, EEG stub; bump test count to 330+2

feat(eeg,frontend): EEG fusion-flow test + Streamlit EEG form + real-artifact sanity

feat(api): add POST /predict/eeg route (stub-able for demo)

feat(models): EEG classifier loader + predict (stub-able for hackathon demo)

feat(rag): clinical RAG CLI smoke script

feat(agents): retrieve_context corpus dispatch (reference vs clinical)

feat(rag): TF-IDF clinical retrieval with Turkish/English query expansion

feat(rag): clinical TF-IDF index loader with __main__.Chunk routing

chore(rag): gitignore external clinical RAG corpus and pre-built index

feat(frontend): expose MRI_MODEL_KIND in MRI predict tab; 2D upload path

test(models): real-artifact sanity for MRI DL 2D (skips when absent)

feat(api): dispatch /predict/mri via MRI_MODEL_KIND env var

feat(models): selector dispatch for volumetric vs 2D MRI models

feat(models): add 2D resnet18 4-class Alzheimer's MRI inference module

deps: add torch/torchvision/pillow for MRI DL 2D

docs(plan): swap OASIS branch for EEG stub plan; soften MRI prerequisite

docs(plan): external assets integration (MRI DL 2D + TF-IDF RAG + OASIS tabular)

fix(fusion): correct logit-scale comment; top_disease=None on empty input

test(fusion): end-to-end smoke + README section

feat(agents): register run_fusion tool for multi-modal disease confidence

feat(api): add POST /fusion/predict route for multi-modal fusion

feat(fusion): add core multi-modal fuse() with per-disease attribution

feat(fusion): map modality predictions to per-disease signals

feat(fusion): add clinical-test signal normalisers (MMSE/MoCA/UPDRS/gait/age)

feat(fusion): add disease/modality weight registry

fix(fusion): drop unused protected_namespaces; pin tighter bound tests

feat(fusion): add pydantic data contract for multi-modal fusion

docs(plan): clinical platform roadmap + fusion engine plan

superpowerfixes.md

test(agents/orchestrator): pin caplog handler to INFO (hardens against pytest variance)

fix(agents/orchestrator): log dropped out-of-stage tool calls (was silent)

docs(agents/tools): TODO race on shared parquet output for concurrent /agent/run

test(agents/routing): assert sites_csv key on NIfTI route (depth parity with EEG test)

test(agents/routing): regression tests for MRI/EEG/BBB routing heuristic

feat(frontend/mri): expose target_shape as 3 number inputs (was hardcoded 64³)

test(mri/model): drop redundant caplog.at_level (direct handler attach is the actual mechanism)

fix(mri/model): warn when label_names length != model output dim (was silent override)

Add project files

fix(agents/live): skip on NotFoundError (model availability churns on OpenRouter free-tier)

Merge feat/orchestrator-rag: orchestrator agent + RAG feedback layer

docs(plan): orchestrator agent + RAG feedback implementation plan

feat(agents): live OpenRouter integration test (slow) + GET /diag/agent

fix(agents/live): also gate live test on BBB model artifact (avoids dotenv-loaded key path)

docs: §15 orchestrator agent + §16 RAG surface (AGENTS.md + README pointers)