Cordum Safety Guard — @guard decorator for LangChain, LlamaIndex, and plain Python functions
Project description
cordum-guard
Safety governance for Python AI agents. Add Cordum safety checks to existing Python code with a single decorator — no rewrite required.
Install
pip install cordum-guard
With LangChain or LlamaIndex support:
pip install cordum-guard[langchain]
pip install cordum-guard[llamaindex]
Quick Start
from cordum_guard import CordumClient, guard
client = CordumClient("http://localhost:8081", api_key="your-api-key")
@guard(client, policy="financial_ops", risk_tags=["write", "financial"])
def execute_transfer(amount: float, to_account: str):
bank_api.transfer(amount, to_account)
The @guard decorator intercepts every call to execute_transfer:
- Evaluates the safety policy via the Cordum Safety Kernel
- allow — function runs normally
- deny — raises
CordumBlockedError - require_approval — waits for human approval in the dashboard
- throttle — delays execution per policy
LangChain Integration
from cordum_guard import CordumClient
from cordum_guard.langchain import CordumToolGuard
client = CordumClient("http://localhost:8081", api_key="your-api-key")
guarded_tools = CordumToolGuard(client, policy="agent_ops").wrap(tools)
agent = initialize_agent(guarded_tools, llm)
LlamaIndex Integration
from cordum_guard import CordumClient
from cordum_guard.llamaindex import CordumToolGuard
client = CordumClient("http://localhost:8081", api_key="your-api-key")
guarded_tools = CordumToolGuard(client, policy="agent_ops").wrap(tools)
Async Support
The @guard decorator works with both sync and async functions:
@guard(client, policy="ops")
async def async_operation():
return await some_api_call()
Configuration
CordumClient
| Parameter | Default | Description |
|---|---|---|
gateway_url |
— | Cordum gateway URL |
api_key |
— | API key for authentication |
tenant_id |
"default" |
Tenant identifier |
timeout |
30.0 |
HTTP request timeout (seconds) |
cache_ttl |
0 |
Cache TTL in seconds (0 = disabled) |
cache_max_size |
1000 |
Max cached policy entries |
on_error |
"closed" |
Failure mode: "closed", "open", or callable |
@guard decorator
| Parameter | Default | Description |
|---|---|---|
client |
— | CordumClient instance |
policy |
"" |
Policy name (label for traceability) |
risk_tags |
[] |
Risk tags sent to the Safety Kernel |
capability |
function name | Override the capability identifier |
topic |
"job.guard" |
NATS topic for policy evaluation |
timeout |
300.0 |
Max wait for approval decisions (seconds) |
CordumToolGuard (LangChain / LlamaIndex)
| Parameter | Default | Description |
|---|---|---|
client |
— | CordumClient instance |
policy |
"" |
Policy name |
risk_tags |
[] |
Risk tags for all wrapped tools |
topic |
"job.guard" |
NATS topic for evaluation |
Testing
Use MockCordumClient to test guarded code without a live gateway:
from cordum_guard import guard, MockCordumClient, Decision
mock = MockCordumClient(default_decision=Decision.ALLOW)
mock.set_policy_response("dangerous-ops", Decision.DENY)
@guard(mock, capability="safe-op")
def safe_func():
return "works"
@guard(mock, capability="dangerous-ops")
def risky_func():
return "blocked"
assert safe_func() == "works"
# risky_func() raises CordumBlockedError
# Inspect what was evaluated:
assert len(mock.call_log) == 1
assert mock.call_log[0].capability == "safe-op"
Caching
Enable TTL-based caching to reduce gateway round-trips:
client = CordumClient(
gateway_url="http://localhost:8081",
api_key="my-key",
cache_ttl=30, # cache decisions for 30s (0 = disabled)
cache_max_size=500, # max cached entries
)
# ALLOW/DENY/THROTTLE cached; REQUIRE_APPROVAL always fresh
# Bypass cache per-call: client.evaluate_policy(..., cache=False)
# Clear cache: client.clear_cache()
Failure Modes
Configure what happens when the gateway is unreachable:
# Default: fail-closed (raise CordumConnectionError)
client = CordumClient("http://localhost:8081", api_key="key", on_error="closed")
# Fail-open: allow operations when gateway is down
client = CordumClient("http://localhost:8081", api_key="key", on_error="open")
# Callback: custom logic per error
def my_fallback(error):
if "critical" in str(error):
raise error # fail closed for critical
return SafetyDecision(decision=Decision.ALLOW)
client = CordumClient("http://localhost:8081", api_key="key", on_error=my_fallback)
Only connection/timeout errors trigger fail-open. Auth errors (401/403) and explicit DENY responses always propagate normally.
License
Apache-2.0
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