Add logging for tool execution and error handling in RequestInfoFromTableWithAIUseCaseV7

[Artuomka]

No description provided.

[Copilot]

Pull request overview

Adds request-scoped logging to the AI “tool loop” in RequestInfoFromTableWithAIUseCaseV7 to improve observability around tool execution and error cases.

Changes:

• Introduces a NestJS Logger instance on the use case.
• Logs tool-loop iterations, tool calls, tool results, and loop/tool-call errors (plus a max-depth warning).
• Minor formatting cleanup in the chat name generation prompt string.

---

💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.

[Copilot]

Logging full toolCall.arguments can leak sensitive data (e.g., raw SQL queries / Mongo pipelines, user-provided values) into application logs and may also create very large log lines. Consider logging only safe metadata (tool name/id, argument keys, and/or argument lengths) and/or truncating/redacting values, ideally at debug/verbose level behind a feature flag.

Suggested change

	this.logger.log(
	`Tool call: ${toolCall.name}, arguments=${JSON.stringify(toolCall.arguments)}`,
	const argumentKeys =
	toolCall.arguments && typeof toolCall.arguments === 'object'
	? Object.keys(toolCall.arguments)
	: [];
	const argumentLength = JSON.stringify(toolCall.arguments ?? '').length;
	this.logger.log(
	`Tool call: ${toolCall.name}, argumentKeys=${argumentKeys.join(',')}, argumentLength=${argumentLength}`,