Copilot orchastrator

Currently, when users ask natural language questions in Spotfire Copilot 2.1 that trigger SQL query generation via the orchestrator, any syntactic or semantic error in the resulting SQL leads to a failed execution with no recovery path. The user is forced to rephrase the original prompt and reinitiate the process—often multiple times—without clear feedback, resulting in frustration, inefficiency, and trial-and-error cycles.

Suggestion:
Implement an internal loopback mechanism within the orchestrator where, upon detecting a query error (caught via exception handling or query validator), the failed SQL is automatically routed to a specialized internal “SQL Repair Agent.”

This agent should:

• Analyze the SQL error message.

• Review the original user intent (from prior prompt or context window).

• Regenerate a corrected SQL query version using either templated logic, GPT with error-aware prompts, or fine-tuned fallback models.

• Retry execution transparently or provide an inline “Fix & Retry” suggestion.