* @param langs Languages
     * @param analyzer Analyzer
     * @return True if the search word is excluded
     */
    protected boolean isExcludeSearchword(final String searchWord, final String field, final String[] langs,
            final SuggestAnalyzer analyzer) {
        if (langs == null || langs.length == 0) {
            final List<AnalyzeToken> tokens = analyzer.analyze(searchWord, "", null);

### Examples

Use American English spelling, for example:

* `color` (not `colour`)
* `initialize` (not `initialise`)
* `behavior` (not `behaviour`)
* `analyze` (not `analyse`)
* `organization` (not `organisation`)
* `center` (not `centre`)
* `canceled` (not `cancelled`)
* `labeled` (not `labelled`)

### Rationale for American English

What FastAPI actually checks is that it is a "callable" (function, class or anything else) and the parameters defined.

If you pass a "callable" as a dependency in **FastAPI**, it will analyze the parameters for that "callable", and process them in the same way as the parameters for a *path operation function*. Including sub-dependencies.

Later you will see how **powerful** it can be.

/// tip

The fact that this is **standard Python** means that you will still get the **best possible developer experience** in your editor, with the tools you use to analyze and refactor your code, etc. ✨

And also that your code will be very compatible with many other Python tools and libraries. 🚀

///

## Type hints in **FastAPI** { #type-hints-in-fastapi }

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
labels.chat_step_fetch=Retrieve
labels.chat_step_answer=Answer
labels.chat_input_hint=Press Enter to send, Shift+Enter for new line

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
labels.chat_step_fetch=Retrieve
labels.chat_step_answer=Answer
labels.chat_input_hint=Press Enter to send, Shift+Enter for new line

                            .stream();
                } catch (OpenSearchStatusException | IllegalStateException e) {
                    final String msg = e.getMessage();
                    if (StringUtil.isNotEmpty(msg) && msg.contains("index.analyze.max_token_count")) {

    public static final String LABELS_chat_welcome_description = "{labels.chat_welcome_description}";

    /** The key of the message: Analyze */
    public static final String LABELS_chat_step_intent = "{labels.chat_step_intent}";

    /** The key of the message: Search */
    public static final String LABELS_chat_step_search = "{labels.chat_step_search}";

- `src/main/resources/suggest_indices/suggest/mappings-default.json` - Field mappings
- `src/main/resources/suggest_indices/analyzer/mapping-default.json` - Analyzer mapping
- `src/main/resources/suggest_indices/suggest_analyzer.json` - Analyzer settings
- `src/main/resources/suggest_indices/suggest_settings.json` - Suggest settings
- `src/main/resources/suggest_indices/suggest_settings_array.json` - Array settings

For search/index analyzer, if [doc.json](https://github.com/codelibs/fess/blob/master/src/main/resources/fess_indices/fess/doc.json) contains lang\_[lang] for your language, please modify the analyzer for your language. For more details about Analyzers, see the [OpenSearch documentation](https://opensearch.org/docs/latest/analyzers/search-analyzers/).

We welcome pull requests for your language.