Sebastián Ramírez <******@****.***> 1767034460 -0800

Motov Yurii <******@****.***> 1773831336 +0100

#### LLM Prompt per Language

Each language has a directory: [https://github.com/fastapi/fastapi/tree/master/docs](https://github.com/fastapi/fastapi/tree/master/docs), in it you can see a file `llm-prompt.md` with the prompt specific for that language.

For example, for Spanish, the prompt is at: [`docs/es/llm-prompt.md`](https://github.com/fastapi/fastapi/blob/master/docs/es/llm-prompt.md).

 * It manages registered LLM clients and provides access to the configured
 * LLM provider based on the current configuration.
 */
public class LlmClientManager {

    private static final Logger logger = LogManager.getLogger(LlmClientManager.class);

    /** The list of registered LLM clients. */
    protected final List<LlmClient> clientList = new CopyOnWriteArrayList<>();

    /**

        if lang == "en":
            continue
        lang_prompt_path = Path(f"docs/{lang}/llm-prompt.md")
        if lang_prompt_path.exists():
            translatable_langs.append(lang)
    return translatable_langs


@app.command()
def list_llm_translatable() -> list[str]:
    translatable_langs = get_llm_translatable()
    print("LLM translatable languages:", translatable_langs)
    return translatable_langs

# LLM test file { #llm-test-file }

This document tests if the <abbr title="Large Language Model">LLM</abbr>, which translates the documentation, understands the `general_prompt` in `scripts/translate.py` and the language specific prompt in `docs/{language code}/llm-prompt.md`. The language specific prompt is appended to `general_prompt`.

Tests added here will be seen by all designers of language specific prompts.

Use as follows:

# LLM テストファイル { #llm-test-file }

このドキュメントは、ドキュメントを翻訳する <abbr title="Large Language Model - 大規模言語モデル">LLM</abbr> が、`scripts/translate.py` の `general_prompt` と、`docs/{language code}/llm-prompt.md` の言語固有プロンプトを理解しているかをテストします。言語固有プロンプトは `general_prompt` の末尾に追加されます。

ここに追加したテストは、すべての言語固有プロンプトの設計者が参照します。

使い方:

* 言語固有プロンプトを用意します - `docs/{language code}/llm-prompt.md`。

     */
    @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.
     */
    @Size(max = 10)
    public String llmLogLevel;

    }

    @Test
    public void test_addSearchLog_accessType_customLlmName() {
        final SearchLog searchLog = callCreateSearchLogAndGetResult("my-custom-llm");
        assertEquals("my-custom-llm", searchLog.getAccessType());
    }

    @Test
    public void test_addSearchLog_accessType_blankStringDefaultsToWeb() {
        final SearchLog searchLog = callCreateSearchLogAndGetResult("");

                return;
            }

            final String userId = getUserId(request);

            // Set LLM type name as Access Type for search log
            request.setAttribute(Constants.SEARCH_LOG_ACCESS_TYPE,
                    ComponentUtil.getFessConfig().getSystemProperty("rag.llm.name", "ollama"));

            final Map<String, String[]> fields = parseFieldFilters(request);