axiorank 0.2.0

Official Python SDK for AxioRank — route AI agent tool calls through your agent firewall.

axiorank

Official Python SDK for AxioRank — route your AI agent's tool calls through your agent firewall so policies are enforced, risk is scored, and every call is audited.

Parity with the TypeScript @axiorank/sdk.

Install

pip install axiorank

Quickstart (sync)

import os
from axiorank import AxioRank

axio = AxioRank(api_key=os.environ["AXIORANK_API_KEY"])  # looks like axr_live_...

# Get the decision and act on it yourself:
result = axio.tool_call("github.push", {"repo": "myrepo"})
if result.decision == "deny":
    print(f"Blocked: {result.reason} (risk {result.risk})")
else:
    ...  # proceed with the real tool call

enforce() — guard in one line

from axiorank import AxioRank, AxioRankDeniedError

axio = AxioRank(api_key=os.environ["AXIORANK_API_KEY"])

try:
    axio.enforce("aws.delete_bucket", {"name": "prod-data"})
    delete_bucket("prod-data")  # only runs if AxioRank allowed it
except AxioRankDeniedError as e:
    log.warning("AxioRank blocked the call: %s", e.result.reason)

A require_approval policy holds the call for a human; tool_call/enforce transparently wait out the hold and resolve to the final allow/deny.

Quickstart (async)

import os
from axiorank import AsyncAxioRank

async def main():
    async with AsyncAxioRank(api_key=os.environ["AXIORANK_API_KEY"]) as axio:
        result = await axio.tool_call("stripe.refund", {"amount": 5000})
        print(result.decision, result.risk)

Preflight an external server before trusting it

result = axio.verify_card(url="https://mcp.acme.com")
print(result.decision, result.identity.signature_valid, result.protocol)

# Or guard in one line — raises AxioRankCardDeniedError on `deny`:
axio.enforce_card(url="https://mcp.acme.com")

LangChain

pip install "axiorank[langchain]"

from axiorank import AxioRank
from axiorank.integrations.langchain import AxioRankCallbackHandler

axio = AxioRank(api_key=os.environ["AXIORANK_API_KEY"])

# Every tool the agent runs is checked against your policies first; a blocked
# tool raises and the step fails.
agent_executor.invoke(
    {"input": "..."},
    config={"callbacks": [AxioRankCallbackHandler(axio)]},
)

Prefer a model-readable refusal over a raised exception? Wrap individual tools:

from axiorank.integrations.langchain import guard_tool

safe_tool = guard_tool(my_tool, axio, on_deny="return")

LlamaIndex

pip install "axiorank[llamaindex]"

from axiorank.integrations.llamaindex import guard_tool

# Wrap any FunctionTool — its arguments are scored before it runs, and the
# schema, name, and description are preserved, so it is a drop-in replacement.
safe_tool = guard_tool(my_tool, axio)                      # raises on deny
recoverable = guard_tool(my_tool, axio, on_deny="return")  # model-readable refusal

Configuration

Argument	Default	Notes
api_key	— (required)	Your agent's key (axr_live_...).
base_url	https://app.axiorank.com	Point at your own deployment.
timeout	10.0	Per-request timeout, in seconds.
approval_timeout	300.0	Max wait for a human to resolve a hold, seconds.
client	a fresh httpx.Client	Inject your own httpx client (tests, proxies).

License

MIT