agentpriv 0.1.1

sudo for AI agents - allow, deny, or ask before any tool runs

agentpriv

sudo for AI agents - allow, deny, or ask before any tool runs.

AI agents run tools autonomously, but some calls are too risky to run unchecked. agentpriv gives you a permission layer to control what goes through.

Why

• One place - guard a tool once, every agent using it gets the same rule
• Gradual trust - start on "ask", promote to "allow" as you gain confidence
• Visibility - every blocked or prompted call is printed with full arguments, so you see exactly what the agent is trying to do
• Framework agnostic - plain wrapper around your functions, so it works with any agent framework or none at all

Install

pip install agentpriv

Quick start

from agentpriv import guard, guard_all, AgentPrivDenied

safe_send = guard(send_message, policy="ask")

tools = guard_all(
    [read_messages, send_message, delete_channel],
    policy={
        "delete_*": "deny",
        "send_*":   "ask",
        "*":        "allow",
    }
)

Three modes

Mode	What happens
"allow"	Runs normally, no interruption
"deny"	Raises AgentPrivDenied immediately, the function never executes
"ask"	Pauses, shows the call in your terminal, waits for y/n

agentpriv: send_message(channel='general', text='deploying now')
Allow this call? [y/n]: y   # runs the function
Allow this call? [y/n]: n   # raises AgentPrivDenied

on_deny - raise or return

By default, denied calls raise AgentPrivDenied. When using frameworks, set on_deny="return" so the LLM sees the denial as a tool result instead of crashing:

# Plain Python - raises exception
safe = guard(delete_channel, policy="deny")

# Frameworks - returns error string to the LLM
safe = guard(delete_channel, policy="deny", on_deny="return")

Works with any framework

Guard first, then pass to your framework as usual:

OpenAI Agents SDK

safe_delete = function_tool(guard(delete_db, policy="ask", on_deny="return"))
agent = Agent(name="Demo", tools=[safe_delete])

LangChain / LangGraph

safe_delete = tool(guard(delete_db, policy="ask", on_deny="return"))
agent = create_agent(model=llm, tools=[safe_delete])

PydanticAI

agent = Agent("openai:gpt-4o", tools=[guard(delete_db, policy="ask", on_deny="return")])

CrewAI

safe_delete = tool("Delete DB")(guard(delete_db, policy="ask", on_deny="return"))
agent = Agent(role="DBA", tools=[safe_delete])

Custom prompt

By default, "ask" mode prompts in the terminal. Pass prompt= to use your own approval logic:

# auto-approve in testing
safe = guard(delete_db, policy="ask", prompt=lambda name, args, kwargs: True)

# approve via web UI, Slack, or any custom flow
safe = guard(delete_db, policy="ask", prompt=my_approval_handler)

Policy matching

• Patterns use glob syntax (fnmatch) against the function's __name__
• More specific patterns win over wildcards (delete_channel > delete_* > *)
• If a function doesn't match any pattern, it defaults to "deny" - so forgetting a rule blocks the call rather than silently allowing it. Use "*": "allow" as a catch-all to opt out

License

MIT