from praisonaiagents.storage import RedisBackend, BaseJSONStore

backend = RedisBackend(
    url="redis://localhost:6379",
    prefix="praison:",
    ttl=3600  # 1 hour TTL
)
store = BaseJSONStore("session.json", backend=backend)
store.save({"messages": ["Hello"]})
data = store.load()

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

with TrainingStorage(
    session_id="train-123",
    backend=RedisBackend(url="redis://localhost:6379", prefix="train:", ttl=86400),
) as storage:
    storage.save_iteration(...)
# Redis connection closed automatically at the end of the with block

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

backend = RedisBackend(url="redis://localhost:6379", prefix="session:", ttl=3600)
manager = SessionManager(backend=backend)
sessions = manager.list(limit=10)

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

backend = RedisBackend(url="redis://localhost:6379", prefix="runs:")
history = RunHistory(backend=backend)

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

backend = RedisBackend(url="redis://localhost:6379", prefix="mcp:")
index = MCPToolIndex(backend=backend)