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Runtime policy enforcement for LLM agent tool calls on Kubernetes.

Project description

Norviq

Runtime policy enforcement for LLM agent tool calls.

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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 auditedbefore 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/evaluate requires a bearer token. Without one the client fails closed.

Links

Apache 2.0 licensed.

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