from praisonaiagents.storage import FileBackend, BaseJSONStore

backend = FileBackend(storage_dir="~/.praisonai/data")
store = BaseJSONStore("session.json", backend=backend)
store.save({"messages": ["Hello"]})
data = store.load()

from praisonai.train.agents.storage import TrainingStorage
from praisonaiagents.storage import FileBackend

with TrainingStorage(
    session_id="train-123",
    backend=FileBackend(storage_dir="~/.praisonai/train"),
) as storage:
    storage.save_iteration(...)
# .close() is a safe no-op for FileBackend — the with block keeps usage consistent

from praisonai.cli.state.sessions import SessionManager
from praisonaiagents.storage import FileBackend

backend = FileBackend(storage_dir="~/.praisonai/sessions")
manager = SessionManager(backend=backend)
sessions = manager.list(limit=10)

from praisonai.recipe.history import RunHistory
from praisonaiagents.storage import FileBackend

backend = FileBackend(storage_dir="~/.praisonai/runs")
history = RunHistory(backend=backend)

from praisonai.mcp_server.tool_index import MCPToolIndex
from praisonaiagents.storage import FileBackend

backend = FileBackend(storage_dir="~/.praisonai/mcp")
index = MCPToolIndex(backend=backend)