Runtime safety for AI agents: intercept tool calls, policy scoring, and audit logging
Project description
Agentiva
Runtime safety for AI agents. Agentiva helps you:
- intercept tool calls (before side effects)
- score risk against a YAML policy
- run in shadow mode first, then live (block) or approval
- keep an audit trail of what happened
Install
pip install agentiva
Use as a repo scanner (optional git hook)
agentiva scan .
agentiva init # installs a pre-push hook that runs `agentiva scan .`
View the local HTML report generated by scans:
agentiva dashboard
Use at runtime (agent frameworks / custom)
Run the API:
agentiva serve
Wrap tools in your app (minimal example):
from agentiva import Agentiva
shield = Agentiva(mode="shadow")
tools = shield.protect([your_tool_a, your_tool_b])
Project links
- Source + full docs: https://github.com/RishavAr/agentiva
- Issues: https://github.com/RishavAr/agentiva/issues
Note about the dashboard UI
The PyPI distribution installs the Python package (CLI + API + policies). The full Next.js dashboard UI lives in the repository under dashboard/ and is not included in the wheel.
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