"armenian_override": {
          "type":       "stemmer_override",
          "rules": []
        },
        "basque_stop": {
          "type":       "stop",

        "armenian_override": {
          "type":       "stemmer_override",
          "rules": []
        },
        "basque_stop": {
          "type":       "stop",

    SEARCH("search"),

    /** User wants a summary of a specific document */
    SUMMARY("summary"),

    /** User is asking a FAQ-type question */
    FAQ("faq"),

    /** Intent is unclear - need to ask user for clarification */
    UNCLEAR("unclear");

    private final String value;

    ChatIntent(final String value) {
        this.value = value;
    }

    /**

* For user-facing features, what will the API look like?
* What test cases should it have? What could go wrong?
* How will it roughly be implemented? We'll happily provide code pointers to save you time.

We may ask you to answer these questions directly in the GitHub issue or (for large changes) in a shared Google Doc.

labels.chat_phase_fetch=Retrieving documents...
labels.chat_phase_answer=Generating answer...
labels.chat_messages_area=Chat messages
labels.chat_welcome_title=Ask and Discover.
labels.chat_welcome_description=Ask questions and I'll search through documents to find the answers you need.
labels.chat_step_intent=Analyze
labels.chat_step_search=Search
labels.chat_step_evaluate=Evaluate

3. **Actively collaborate with us.** We commit real time and attention to everything we review. Low-effort submissions—where...

labels.chat_phase_fetch=Retrieving documents...
labels.chat_phase_answer=Generating answer...
labels.chat_messages_area=Chat messages
labels.chat_welcome_title=Ask and Discover.
labels.chat_welcome_description=Ask questions and I'll search through documents to find the answers you need.
labels.chat_step_intent=Analyze
labels.chat_step_search=Search
labels.chat_step_evaluate=Evaluate

            }

            if (intentResult.getIntent() == ChatIntent.UNCLEAR) {
                // Unclear intent - generate answer with empty documents to ask for clarification
                final LlmChatResponse llmResponse = llmClientManager.generateAnswer(userMessage, Collections.emptyList(), history);

    public static final String LABELS_chat_messages_area = "{labels.chat_messages_area}";

    /** The key of the message: Ask and Discover. */
    public static final String LABELS_chat_welcome_title = "{labels.chat_welcome_title}";

    /** The key of the message: Ask questions and I'll search through documents to find the answers you need. */