fix(package): review pass on the PyPI package

- docsgpt api binds 127.0.0.1 by default, like gunicorn and uvicorn do;
  --host 0.0.0.0 exposes it. The docs say so.
- The embedded Milvus and LanceDB defaults derive from the data home, so
  they follow DOCSGPT_HOME like the faiss indexes and uploads do. A checkout
  run from its root and the Docker image resolve to the same paths as before.
- The docs and the pyproject comment describe the CPU torch install as two
  steps (torch and torchvision from the PyTorch CPU index first, then the
  docling extra): pip picks the highest version across indexes, so
  --extra-index-url only yields the CPU build while that index keeps pace
  with PyPI.
- AGENTS.md separates DOCSGPT_HOME (moves the data home) from
  DOCSGPT_ENV_FILE (selects the .env file); the docs example uses a password
  placeholder.

docsgpt/core/settings.py

@@ -326,11 +326,12 @@ class Settings(BaseSettings):
     PGVECTOR_IVFFLAT_PROBES: Optional[int] = None
     # Milvus vectorstore config
     MILVUS_COLLECTION_NAME: Optional[str] = "docsgpt"
-    MILVUS_URI: Optional[str] = "./milvus_local.db"  # milvus lite version as default
+    # milvus-lite (embedded) database file, under the data home like the other local stores
+    MILVUS_URI: Optional[str] = Field(default_factory=lambda: str(home_dir() / "milvus_local.db"))
     MILVUS_TOKEN: Optional[str] = ""
 
     # LanceDB vectorstore config
-    LANCEDB_PATH: str = "./data/lancedb"  # Path where LanceDB stores its local data
+    LANCEDB_PATH: str = Field(default_factory=lambda: str(home_dir() / "data" / "lancedb"))  # LanceDB local data
     LANCEDB_TABLE_NAME: Optional[str] = "docsgpts"  # Name of the table to use for storing vectors
 
     FLASK_DEBUG_MODE: bool = False