praxel 0.1.2

Runtime control plane for AI agents. Vendor-neutral SDK for signed audit logs, policy enforcement, and continuous compliance.

Praxel

Praxel — the runtime control plane for AI agents. Wrap any agent in 3 lines, get signed audit logs and policy enforcement.

Install

pip install praxel

uv add praxel

Quickstart

from praxel import Praxel, Policy, PraxelDeniedException

def agent(prompt: str, *, tool_name: str, tool_input: dict):
    return f"Executed {tool_name} with {tool_input}"

policies = [
    Policy(
        policy_id="limit-1000",
        name="Dollar Limit",
        kind="dollar_limit",
        config={"field_path": "amount", "max_amount": 1000.0},
        enabled=True,
    )
]

wrapped = Praxel.wrap(agent, workspace="demo-workspace", policies=policies)
print(wrapped("Pay vendor", tool_name="transfer_money", tool_input={"amount": 500.0}))

What It Does

• Signed audit logs for every tool call (tamper-evident event trail).
• Runtime policy enforcement (allow, deny, require approval).
• Continuous compliance evidence for investigations, audits, and controls.

Supported Providers

• Anthropic
• OpenAI
• Google
• Custom agents

Before / After

Before: basic Claude agent, no governance

from anthropic import Anthropic

client = Anthropic(api_key="...")

def transfer_money(amount: float, to_account: str) -> str:
    return f"Transferred ${amount:.2f} to {to_account}"

# Tool call executes directly.
result = transfer_money(5000, "acct-risky-001")

After: wrapped with Praxel

from praxel import Praxel, Policy

policies = [
    Policy(
        policy_id="limit-1000",
        name="Dollar Limit",
        kind="dollar_limit",
        config={"field_path": "amount", "max_amount": 1000.0},
        enabled=True,
    )
]

wrapped_agent = Praxel.wrap(agent, workspace="prod-workspace", policies=policies)

• Signed audit trail for every tool action.
• Dollar limit enforced at runtime.
• Dashboard-ready event stream for review and investigations.

License

MIT. See LICENSE.