Lookover audit logging SDK for AI agents — LangChain and LangGraph integrations
Project description
lookover
Audit logging SDK for AI agents. Sends tamper-proof, compliance-ready traces to Lookover — mapped to GDPR, SOC 2 Type II, EU AI Act, and more.
Install
pip install lookover
# With LangGraph support
pip install "lookover[langgraph]"
# With LangChain support
pip install "lookover[all]"
Quick start
from lookover_sdk import LookoverClient, AgentEvent, EventType
client = LookoverClient(
api_key="lk_...",
agent_id="my-agent",
base_url="https://your-lookover-backend.run.app",
)
client.track(AgentEvent(
event_type=EventType.TOOL_CALL,
payload={"tool": "calculator", "input": "2+2"},
outcome="success",
))
client.flush()
LangGraph integration
from lookover_sdk.langgraph import LookoverLangGraphListener
listener = LookoverLangGraphListener(
api_key="lk_...",
agent_id="my-graph",
base_url="https://your-lookover-backend.run.app",
)
result = listener.invoke(graph, {"messages": [HumanMessage(content="Hello")]})
prerun CLI
Scan your agent code for compliance gaps before running it:
prerun scan ./my_agent.py
prerun scan ./agents/ --framework GDPR
Links
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