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```python
# AI Dev Tool: OneCLI OSS Sandbox Agent Harness for Teams
# Description: A production-ready developer code asset for automating team workflows
# using OneCLI OSS sandboxed agent harness and PostgreSQL for data storage.

import os
import sys
import subprocess
from typing import Dict, List
from pydantic import BaseModel
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

# Define the PostgreSQL database connection URL
DATABASE_URL = "postgresql://user:password@host:port/dbname"

# Create a PostgreSQL database engine
engine = create_engine(DATABASE_URL)

# Define the base class for SQLAlchemy models
Base = declarative_base()

# Define a model for storing team workflow data
class TeamWorkflow(Base):
    __tablename__ = "team_workflows"
    id = Column(Integer, primary_key=True)
    name = Column(String)
    description = Column(String)

# Create the team workflows table in the database
Base.metadata.create_all(engine)

# Define a session maker for interacting with the database
Session = sessionmaker(bind=engine)

# Define a Pydantic model for validating team workflow data
class TeamWorkflowModel(BaseModel):

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