Runtime policy enforcement for LLM agent tool calls on Kubernetes.
Project description
Norviq
Runtime policy enforcement for LLM agent tool calls.
Norviq is a policy enforcement point (PEP) that sits between an agent's reasoning loop and the tools
it can call. Every tool call is evaluated against OPA/Rego policy and then allowed, blocked,
escalated, or audited — before the tool function runs. It turns "the model decided to call
execute_sql" from implicit trust into an enforced, auditable decision.
This package is the Python SDK: it wraps your existing tools so enforcement happens in-process. The full platform (control plane, console, Kubernetes admission webhook, sidecar injection) is installed with the Helm chart — see the documentation.
Install
pip install "norviq[langchain]" # LangChain / LangGraph
pip install "norviq[crewai]" # CrewAI
pip install "norviq[autogen]" # AutoGen
pip install "norviq[semantic-kernel]" # Semantic Kernel
pip install "norviq[frameworks]" # all of the above
Use
from norviq.sdk import PolicyEngineClient, ToolInterceptor
from norviq.sdk.langchain.adapter import protect
engine = PolicyEngineClient() # NRVQ_POLICY_ENGINE_URL + NRVQ_API_TOKEN
interceptor = ToolInterceptor(evaluator=engine)
# Every tool is wrapped: policy runs before the tool body, on every call the model makes.
tools = protect([search_kb, execute_sql, delete_record], interceptor, session_id="session-1")
A blocked call raises NorviqBlockError, which carries the full PolicyDecision — including the
rule_id that fired and a human-readable reason — so you can surface a refusal instead of
performing the action:
from norviq.sdk import NorviqBlockError
try:
result = agent.invoke({"messages": [("user", "delete all customer records")]})
except NorviqBlockError as exc:
print(f"blocked by {exc.decision.rule_id}: {exc.decision.reason}")
Two things to know before your first run, because either one makes a correct setup look broken:
- Norviq is deny-by-default. With no policy loaded for the scope you evaluate against, the
decision is
deny. Load a policy for your namespace/agent-class first. POST /api/v1/evaluaterequires a bearer token. Without one the client fails closed.
Links
- Documentation — https://docs.norviq.dev
- Integration guide (all supported frameworks) — https://github.com/norviq-dev/norviq/blob/main/docs/guides/integrating-agents.md
- Runnable examples — https://github.com/norviq-dev/norviq/blob/main/examples/README.md
- Source — https://github.com/norviq-dev/norviq
- Security policy — https://github.com/norviq-dev/norviq/blob/main/SECURITY.md
Apache 2.0 licensed.
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