fix(prithvi): drop .view() on lists; enrich warmup traceback

fix(prithvi): dict-aware normalizer; expose riprap-models last_errors

fix(eo): unblock TerraMind LoRA + Prithvi v2 inference on the L4 Space

fix: thread Mellea attempt index + diagnose riprap-models 500s

fix(specialists): never fall through to broken local terratorch

feat(emissions): per-call inference energy + token tracker

feat: every EO specialist's prediction renders as a map layer

fix: catch RuntimeError in EO deps probes, add demo playbook

feat: enable EO specialists via remote ML on HF Space

fix(prithvi): patch v2 datamodule transforms for IBM inference.py compat

deploy: sync all changes from main at 6904684

Harden remote-ML routing + add address test suite

feat: route all GPU-accelerable inference through MI300X (Phase 1+2 of full GPU)

fix(prithvi_live): build v2 model from v2 yaml, not base config

Stones C5: upgrade prithvi_live to NYC-Pluvial v2 fine-tune

Backend evolution: Phases 1-10 specialists + agentic FSM + Mellea + LiteLLM router