logger.warn("[RAG] Failed to process chat request. message={}", e.getMessage(), e);
            writeJsonResponse(response, HttpServletResponse.SC_INTERNAL_SERVER_ERROR, createErrorResponse("Internal server error"));
        }
    }

    /**
     * Processes a streaming chat request using Server-Sent Events (SSE).
     * Uses the enhanced multi-phase RAG flow with intent detection and result evaluation.

     * Path to the service account credentials JSON file.
     */
    @Size(max = 1000)
    public String storageCredentialsPath;

    /**
     * RAG LLM provider name.
     * Selects which LLM client to use for RAG operations.
     */
    @Size(max = 100)
    public String ragLlmName;

    /**
     * LLM log level.
     * Controls the logging level for LLM-related packages.
     */

import org.codelibs.fess.util.ComponentUtil;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;

/**
 * Unit tests for {@link ChatApiManager}.
 * Tests the RAG chat API endpoints including SSE streaming.
 */
public class ChatApiManagerTest extends UnitFessTestCase {

    private ChatApiManager chatApiManager;

    @Override

            private static final long serialVersionUID = 1L;

            @Override
            public String getOrDefault(final String key, final String defaultValue) {
                if ("rag.chat.history.assistant.content".equals(key)) {
                    return "full";
                }
                return defaultValue;
            }
        });

/**
 * Fess RAG Chat JavaScript
 * Enhanced with Atlassian Design System patterns
 */
var FessChat = (function() {
    'use strict';

    var config = {
        apiUrl: '/api/v1/chat',
        streamUrl: '/api/v1/chat/stream',
        labels: {
            thinking: 'Thinking...',
            waiting: '...',
            error: 'An error occurred. Please try again.',
            sources: 'Sources',
            statusReady: 'AI Assistant',