praxel 0.1.0

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

Praxis

Praxis — 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

Note — install name vs. import name. Install the package as praxel, but import it as praxis:

from praxis import Praxis

The distribution is published to PyPI as praxel (the name praxis is taken by an unrelated project), while the Python module remains praxis so existing imports keep working.

Quickstart

from praxis import Praxis, Policy, PraxisDeniedException

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 = Praxis.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

Docs

docs.trypraxis.com

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 Praxis

from praxis import Praxis, 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 = Praxis.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.