I Built a Production-Grade AI Agent Inside Snowflake - Here's Every Line That Makes It Real

It looks like you're setting up a comprehensive architecture for managing and auditing AI agents in Snowflake, including data retrieval using Cortex Search (RAG) and text-to-SQL conversion with Cortex Analyst. Let's continue from where you left off by completing the AGENT_REGISTRY table creation and ensuring all necessary components are in place.

Phase 5: Audit Infrastructure

Agent Registry Table

The AGENT_REGISTRY table will store metadata about each AI agent, including its identity, version, creator, creation time, and authorized role. Here's how you can complete it:

sql
 
1CREATE OR REPLACE TABLE AI_AGENT_DB.AUDIT.AGENT_REGISTRY (
2    AGENT_ID VARCHAR(100) PRIMARY KEY,
3    AGENT_NAME VARCHAR(200),
4    AGENT_VERSION VARCHAR(50),
5    CREATED_BY VARCHAR(100),
6    CREATED_AT TIMESTAMP_NTZ DEFAULT CURRENT_TIMESTAMP(),
7    AUTHORIZED_ROLE VARCHAR(100)
8);

Agent Activity Log Table

This table will log every action taken by the AI agent, including queries and other operations.

sql
 
1CREATE OR REPLACE TABLE AI_AGENT_DB.AUDIT.AGENT_ACTIVITY_LOG (
2    LOG_ID SERIAL PRIMARY KEY,
3    AG
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5[Read the full article at Towards AI - Medium](https://pub.towardsai.net/i-built-a-production-grade-ai-agent-inside-snowflake-heres-every-line-that-makes-it-real-cc4680f1a237?source=rss----98111c9905da---4)
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