Establish an Oracle Database Connection hosted on Azure VM via AI Foundry Agent

do try if helps-

1. Build a Custom Function Tool (API Layer)

• Deploy an Azure Function or containerized API on the same VNet as your Oracle VM.
• Use python-oracledb or cx_Oracle to connect to the database.
• Store Oracle credentials in Azure Key Vault (access via Managed Identity — never hardcode).

2. Knowledge Base for SQL Templates

• Store your query templates (AWR, V$SESSION, V$LOCKED_OBJECT, RMAN status, etc.) in Azure AI Search or Blob Storage.
• Agent retrieves the right template based on user intent, then parameterizes it with date/time/DB name.

3. Agent Flow

• User prompt → Agent extracts intent + parameters → Calls function tool → Tool connects to Oracle DB, runs query → Returns results → Agent analyzes/summarizes via GPT-4.1.

4. Key Security & Design Points

• Use VNet integration / Private Endpoints — no public DB exposure.
• Oracle user should be read-only (SELECT grants only).
• Use parameterized queries to prevent SQL injection.
• Use connection pooling to avoid per-request overhead.
• For large AWR reports, extract key sections (Top SQL, Wait Events, Load Profile) before passing to the LLM to stay within token limits.