[prateekdalal]

We’ve released v1.0.2 and v1.0.3 of Kakveda (open source AI governance runtime).

This release shifts integration from manual middleware to an SDK-first model.

Key change: Instead of calling /warn and /publish manually, agents now integrate via: from kakveda_sdk import KakvedaAgent

agent = KakvedaAgent()

agent.execute( prompt="delete user records", tool_name="db_admin", execute_fn=real_function )

The SDK handles:

Pre-flight policy checks

Event publishing

Trace ingestion

Dashboard registration

Heartbeat monitoring

Fail-closed behavior

Circuit breaker logic

Legacy manual helpers were removed to reduce integration friction.

The goal is to treat LLMs as suggestion engines while keeping execution inside a deterministic governance layer.

Would appreciate feedback from folks running multi-agent systems in production.