Ely-Eye — local multimodal context operating system on Qwen3.5-9B

Real-models implementation: multimodal ingestion, Context Cartridge memory,
sparse + Qwen embedding retrieval, Cache Fabric, Qwen runtime adapters, verifier
contracts, Visual HashHop proofs, BF16 LoRA fine-tuning, and a local dashboard.
Verified by a 15-check PRD proof suite on the live model.

backend/src/ely_eye/config.py

@@ -0,0 +1,80 @@
+from __future__ import annotations
+
+from functools import lru_cache
+from pathlib import Path
+from typing import Literal
+
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Settings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="ELY_EYE_", env_file=".env", extra="ignore")
+
+    home: Path = Field(default_factory=lambda: Path.cwd() / ".ely_eye")
+    model_id: str = "Qwen/Qwen3.5-9B"
+    planner_model_id: str = "Qwen/Qwen3.5-0.8B"
+    embedding_model_id: str = "Qwen/Qwen3-VL-Embedding-8B"
+    adapter_dir: Path | None = None
+    runtime_backend: Literal["sglang", "transformers"] = "transformers"
+    sglang_base_url: str = "http://127.0.0.1:8000/v1"
+    sglang_api_key: str = "ely-eye-local"
+    dense_embeddings_enabled: bool = False
+    live_context_tokens: int = 262_144
+    extreme_context_tokens: int = 1_010_000
+    library_target_tokens: int = 100_000_000
+    upload_max_bytes: int = 20 * 1024 * 1024 * 1024
+    video_sample_seconds: float = 5.0
+    max_text_file_bytes: int = 10 * 1024 * 1024
+    retrieval_top_k: int = 24
+    max_new_tokens: int = 512
+    temperature: float = 0.1
+    train_max_length: int = 8192
+    train_gradient_accumulation_steps: int = 8
+    train_learning_rate: float = 2e-4
+
+    @property
+    def data_dir(self) -> Path:
+        return self.home / "data"
+
+    @property
+    def object_dir(self) -> Path:
+        return self.home / "objects"
+
+    @property
+    def cartridge_dir(self) -> Path:
+        return self.home / "cartridges"
+
+    @property
+    def cache_dir(self) -> Path:
+        return self.home / "cache"
+
+    @property
+    def training_dir(self) -> Path:
+        return self.home / "training"
+
+    @property
+    def adapters_dir(self) -> Path:
+        return self.home / "adapters"
+
+    @property
+    def db_path(self) -> Path:
+        return self.data_dir / "ely_eye.sqlite"
+
+    def ensure_dirs(self) -> None:
+        for path in (
+            self.data_dir,
+            self.object_dir,
+            self.cartridge_dir,
+            self.cache_dir,
+            self.training_dir,
+            self.adapters_dir,
+        ):
+            path.mkdir(parents=True, exist_ok=True)
+
+
+@lru_cache(maxsize=1)
+def get_settings() -> Settings:
+    settings = Settings()
+    settings.ensure_dirs()
+    return settings