### What problem does this PR solve? All models pass the mock response tests, which means that if a model can return the correct response, everything should work as expected. However, not all models have been fully tested in a real environment, the real API_KEY. I suggest actively monitoring the refactored models over the coming period to ensure they work correctly and fixing them step by step, or waiting to merge until most have been tested in practical environment. ### Type of change - [x] Refactoring

2 months ago · 83771e500c
--- a/api/apps/llm_app.py
+++ b/api/apps/llm_app.py
@@ -57,6 +57,7 @@ def set_api_key():
    # test if api key works
    chat_passed, embd_passed, rerank_passed = False, False, False
    factory = req["llm_factory"]
    extra = {"provider": factory}
    msg = ""
    for llm in LLMService.query(fid=factory):
        if not embd_passed and llm.model_type == LLMType.EMBEDDING.value:
@@ -73,7 +74,7 @@ def set_api_key():
        elif not chat_passed and llm.model_type == LLMType.CHAT.value:
            assert factory in ChatModel, f"Chat model from {factory} is not supported yet."
            mdl = ChatModel[factory](
                req["api_key"], llm.llm_name, base_url=req.get("base_url"))
                req["api_key"], llm.llm_name, base_url=req.get("base_url"), **extra)
            try:
                m, tc = mdl.chat(None, [{"role": "user", "content": "Hello! How are you doing!"}],
                                 {"temperature": 0.9, 'max_tokens': 50})
@@ -204,6 +205,7 @@ def add_llm():

    msg = ""
    mdl_nm = llm["llm_name"].split("___")[0]
    extra = {"provider": factory}
    if llm["model_type"] == LLMType.EMBEDDING.value:
        assert factory in EmbeddingModel, f"Embedding model from {factory} is not supported yet."
        mdl = EmbeddingModel[factory](
@@ -221,7 +223,8 @@ def add_llm():
        mdl = ChatModel[factory](
            key=llm['api_key'],
            model_name=mdl_nm,
            base_url=llm["api_base"]
            base_url=llm["api_base"],
            **extra,
        )
        try:
            m, tc = mdl.chat(None, [{"role": "user", "content": "Hello! How are you doing!"}], {
@@ -312,12 +315,12 @@ def delete_factory():
 def my_llms():
    try:
        include_details = request.args.get('include_details', 'false').lower() == 'true'
        

        if include_details:
            res = {}
            objs = TenantLLMService.query(tenant_id=current_user.id)
            factories = LLMFactoriesService.query(status=StatusEnum.VALID.value)
            

            for o in objs:
                o_dict = o.to_dict()
                factory_tags = None
@@ -325,13 +328,13 @@ def my_llms():
                    if f.name == o_dict["llm_factory"]:
                        factory_tags = f.tags
                        break
                        

                if o_dict["llm_factory"] not in res:
                    res[o_dict["llm_factory"]] = {
                        "tags": factory_tags,
                        "llm": []
                    }
                

                res[o_dict["llm_factory"]]["llm"].append({
                    "type": o_dict["model_type"],
                    "name": o_dict["llm_name"],
@@ -352,7 +355,7 @@ def my_llms():
                    "name": o["llm_name"],
                    "used_token": o["used_tokens"]
                })
        

        return get_json_result(data=res)
    except Exception as e:
        return server_error_response(e)
--- a/api/db/services/llm_service.py
+++ b/api/db/services/llm_service.py
@@ -141,6 +141,7 @@ class TenantLLMService(CommonService):
    @DB.connection_context()
    def model_instance(cls, tenant_id, llm_type, llm_name=None, lang="Chinese", **kwargs):
        model_config = TenantLLMService.get_model_config(tenant_id, llm_type, llm_name)
        kwargs.update({"provider": model_config["llm_factory"]})
        if llm_type == LLMType.EMBEDDING.value:
            if model_config["llm_factory"] not in EmbeddingModel:
                return
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,7 +24,7 @@ dependencies = [
    "chardet==5.2.0",
    "cn2an==0.5.22",
    "cohere==5.6.2",
    "Crawl4AI==0.3.8",
    "Crawl4AI>=0.3.8",
    "dashscope==1.20.11",
    "deepl==1.18.0",
    "demjson3==3.0.6",
@@ -43,7 +43,7 @@ dependencies = [
    "groq==0.9.0",
    "hanziconv==0.3.2",
    "html-text==0.6.2",
    "httpx==0.27.0",
    "httpx==0.27.2",
    "huggingface-hub>=0.25.0,<0.26.0",
    "infinity-sdk==0.6.0-dev4",
    "infinity-emb>=0.0.66,<0.0.67",
@@ -58,7 +58,7 @@ dependencies = [
    "ollama==0.2.1",
    "onnxruntime==1.19.2; sys_platform == 'darwin' or platform_machine != 'x86_64'",
    "onnxruntime-gpu==1.19.2; sys_platform != 'darwin' and platform_machine == 'x86_64'",
    "openai==1.45.0",
    "openai>=1.45.0",
    "opencv-python==4.10.0.84",
    "opencv-python-headless==4.10.0.84",
    "openpyxl>=3.1.0,<4.0.0",
@@ -128,6 +128,7 @@ dependencies = [
    "opensearch-py==2.7.1",
    "pluginlib==0.9.4",
    "click>=8.1.8",
    "litellm>=1.74.15.post1",
 ]

 [project.optional-dependencies]
--- a/rag/llm/__init__.py
+++ b/rag/llm/__init__.py
@@ -19,6 +19,48 @@
 import importlib
 import inspect

 from strenum import StrEnum


 class SupportedLiteLLMProvider(StrEnum):
    Tongyi_Qianwen = "Tongyi-Qianwen"
    Dashscope = "Dashscope"
    Bedrock = "Bedrock"
    Moonshot = "Moonshot"
    xAI = "xAI"
    DeepInfra = "DeepInfra"
    Groq = "Groq"
    Cohere = "Cohere"
    Gemini = "Gemini"
    DeepSeek = "DeepSeek"
    Nvidia = "NVIDIA"
    TogetherAI = "TogetherAI"
    Anthropic = "Anthropic"


 FACTORY_DEFAULT_BASE_URL = {
    SupportedLiteLLMProvider.Tongyi_Qianwen: "https://dashscope.aliyuncs.com/compatible-mode/v1",
    SupportedLiteLLMProvider.Dashscope: "https://dashscope.aliyuncs.com/compatible-mode/v1",
    SupportedLiteLLMProvider.Moonshot: "https://api.moonshot.cn/v1",
 }


 LITELLM_PROVIDER_PREFIX = {
    SupportedLiteLLMProvider.Tongyi_Qianwen: "dashscope/",
    SupportedLiteLLMProvider.Dashscope: "dashscope/",
    SupportedLiteLLMProvider.Bedrock: "bedrock/",
    SupportedLiteLLMProvider.Moonshot: "moonshot/",
    SupportedLiteLLMProvider.xAI: "xai/",
    SupportedLiteLLMProvider.DeepInfra: "deepinfra/",
    SupportedLiteLLMProvider.Groq: "groq/",
    SupportedLiteLLMProvider.Cohere: "",  # don't need a prefix
    SupportedLiteLLMProvider.Gemini: "gemini/",
    SupportedLiteLLMProvider.DeepSeek: "deepseek/",
    SupportedLiteLLMProvider.Nvidia: "nvidia_nim/",
    SupportedLiteLLMProvider.TogetherAI: "together_ai/",
    SupportedLiteLLMProvider.Anthropic: "",  # don't need a prefix
 }

 ChatModel = globals().get("ChatModel", {})
 CvModel = globals().get("CvModel", {})
 EmbeddingModel = globals().get("EmbeddingModel", {})
@@ -26,6 +68,7 @@ RerankModel = globals().get("RerankModel", {})
 Seq2txtModel = globals().get("Seq2txtModel", {})
 TTSModel = globals().get("TTSModel", {})


 MODULE_MAPPING = {
    "chat_model": ChatModel,
    "cv_model": CvModel,
@@ -42,20 +85,30 @@ for module_name, mapping_dict in MODULE_MAPPING.items():
    module = importlib.import_module(full_module_name)

    base_class = None
    lite_llm_base_class = None
    for name, obj in inspect.getmembers(module):
        if inspect.isclass(obj) and name == "Base":
            base_class = obj
            break
    if base_class is None:
        continue

    for _, obj in inspect.getmembers(module):
        if inspect.isclass(obj) and issubclass(obj, base_class) and obj is not base_class and hasattr(obj, "_FACTORY_NAME"):
            if isinstance(obj._FACTORY_NAME, list):
                for factory_name in obj._FACTORY_NAME:
                    mapping_dict[factory_name] = obj
            else:
                mapping_dict[obj._FACTORY_NAME] = obj
        if inspect.isclass(obj):
            if name == "Base":
                base_class = obj
            elif name == "LiteLLMBase":
                lite_llm_base_class = obj
                assert hasattr(obj, "_FACTORY_NAME"), "LiteLLMbase should have _FACTORY_NAME field."
                if hasattr(obj, "_FACTORY_NAME"):
                    if isinstance(obj._FACTORY_NAME, list):
                        for factory_name in obj._FACTORY_NAME:
                            mapping_dict[factory_name] = obj
                    else:
                        mapping_dict[obj._FACTORY_NAME] = obj

    if base_class is not None:
        for _, obj in inspect.getmembers(module):
            if inspect.isclass(obj) and issubclass(obj, base_class) and obj is not base_class and hasattr(obj, "_FACTORY_NAME"):
                if isinstance(obj._FACTORY_NAME, list):
                    for factory_name in obj._FACTORY_NAME:
                        mapping_dict[factory_name] = obj
                else:
                    mapping_dict[obj._FACTORY_NAME] = obj


 __all__ = [
    "ChatModel",
--- a/rag/llm/chat_model.py
+++ b/rag/llm/chat_model.py
--- a/uv.lock
+++ b/uv.lock
@@ -1,4 +1,5 @@
 version = 1
 revision = 1
 requires-python = ">=3.10, <3.13"
 resolution-markers = [
    "python_full_version >= '3.12' and sys_platform == 'darwin'",
@@ -30,6 +31,15 @@ wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/9f/1c/a17fb513aeb684fb83bef5f395910f53103ab30308bbdd77fd66d6698c46/accelerate-1.9.0-py3-none-any.whl", hash = "sha256:c24739a97ade1d54af4549a65f8b6b046adc87e2b3e4d6c66516e32c53d5a8f1" },
 ]

 [[package]]
 name = "aiofiles"
 version = "24.1.0"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c" }
 wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5" },
 ]

 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
@@ -1028,24 +1038,29 @@ wheels = [

 [[package]]
 name = "crawl4ai"
 version = "0.3.8"
 version = "0.3.745"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
    { name = "aiofiles" },
    { name = "aiosqlite" },
    { name = "beautifulsoup4" },
    { name = "colorama" },
    { name = "html2text" },
    { name = "litellm" },
    { name = "lxml" },
    { name = "numpy" },
    { name = "pillow" },
    { name = "playwright" },
    { name = "playwright-stealth" },
    { name = "python-dotenv" },
    { name = "rank-bm25" },
    { name = "requests" },
    { name = "snowballstemmer" },
    { name = "tf-playwright-stealth" },
    { name = "xxhash" },
 ]
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/1c/31/327598a0c2cc3cd13dcb786ab41e9638c4c100db1940c9345b1e4d953f39/crawl4ai-0.3.8.tar.gz", hash = "sha256:bacc97509ddbfa5e328e299538a27a4c7fc2317e3fd5ad707b04677e4fc23fc6" }
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/02/5a/919e64ff2977d7aa1b2cda4d45f16ff8996cd2c2dc1f55936fb6cd214222/crawl4ai-0.3.745.tar.gz", hash = "sha256:990396d57e10ae7ccabf35c34a317dbd8c59a3ceca475eac75320a8808334438" }
 wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/af/03/4d69b8d64b39096a721808a349199ca5d7989acf2177e270d15e6f82c356/Crawl4AI-0.3.8-py3-none-any.whl", hash = "sha256:aa19165440c32b667b7325c166d68b00a99375b09e3a7db929d3873064d5ef4f" },
    { url = "https://mirrors.aliyun.com/pypi/packages/ed/7e/ebe351a457140330b20b6d8289b8f243b21de6e6bce505cd15b230a83bcb/Crawl4AI-0.3.745-py3-none-any.whl", hash = "sha256:763e6aba80959e60e1fe70cb9d954a4cf257eb230af30f51fcd99ff641a7a88d" },
 ]

 [[package]]
@@ -1175,9 +1190,6 @@ name = "datrie"
 version = "0.8.2"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/9d/fe/db74bd405d515f06657f11ad529878fd389576dca4812bea6f98d9b31574/datrie-0.8.2.tar.gz", hash = "sha256:525b08f638d5cf6115df6ccd818e5a01298cd230b2dac91c8ff2e6499d18765d" }
 wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/44/02/53f0cf0bf0cd629ba6c2cc13f2f9db24323459e9c19463783d890a540a96/datrie-0.8.2-pp273-pypy_73-win32.whl", hash = "sha256:b07bd5fdfc3399a6dab86d6e35c72b1dbd598e80c97509c7c7518ab8774d3fda" },
 ]

 [[package]]
 name = "debugpy"
@@ -1423,6 +1435,14 @@ wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/36/f4/c6e662dade71f56cd2f3735141b265c3c79293c109549c1e6933b0651ffc/exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10" },
 ]

 [[package]]
 name = "fake-http-header"
 version = "0.3.5"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/e3/0b/2849c87d9f13766e29c0a2f4d31681aa72e035016b251ab19d99bde7b592/fake_http_header-0.3.5-py3-none-any.whl", hash = "sha256:cd05f4bebf1b7e38b5f5c03d7fb820c0c17e87d9614fbee0afa39c32c7a2ad3c" },
 ]

 [[package]]
 name = "fake-useragent"
 version = "1.5.1"
@@ -1486,17 +1506,17 @@ name = "fastembed-gpu"
 version = "0.3.6"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
    { name = "huggingface-hub" },
    { name = "loguru" },
    { name = "mmh3" },
    { name = "numpy" },
    { name = "onnxruntime-gpu" },
    { name = "pillow" },
    { name = "pystemmer" },
    { name = "requests" },
    { name = "snowballstemmer" },
    { name = "tokenizers" },
    { name = "tqdm" },
    { name = "huggingface-hub", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "loguru", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "mmh3", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "numpy", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "onnxruntime-gpu", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "pillow", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "pystemmer", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "requests", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "snowballstemmer", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "tokenizers", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
    { name = "tqdm", marker = "(platform_machine != 'aarch64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux')" },
 ]
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/da/07/7336c7f3d7ee47f33b407eeb50f5eeb152889de538a52a8f1cc637192816/fastembed_gpu-0.3.6.tar.gz", hash = "sha256:ee2de8918b142adbbf48caaffec0c492f864d73c073eea5a3dcd0e8c1041c50d" }
 wheels = [
@@ -2142,37 +2162,37 @@ wheels = [

 [[package]]
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 version = "3.0.3"
 version = "3.2.3"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
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 name = "ranx"
 version = "0.3.20"
@@ -6423,6 +6443,19 @@ wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/55/08/98090d1a139e8995053ed22e099b43aa4dea8cffe056f8f0bc5178aeecbd/tencentcloud_sdk_python-3.0.1215-py2.py3-none-any.whl", hash = "sha256:899ced749baf74846f1eabf452f74aa0e48d1965f0ca7828a8b73b446f76f5f2" },
 ]

 [[package]]
 name = "tf-playwright-stealth"
 version = "1.2.0"
 source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
 dependencies = [
    { name = "fake-http-header" },
    { name = "playwright" },
 ]
 sdist = { url = "https://mirrors.aliyun.com/pypi/packages/d6/6b/32bb58c65991f91aeaaf7473b650175d9d4af5dd383983d177d49ccba08d/tf_playwright_stealth-1.2.0.tar.gz", hash = "sha256:7bb8d32d3e60324fbf6b9eeae540b8cd9f3b9e07baeb33b025dbc98ad47658ba" }
 wheels = [
    { url = "https://mirrors.aliyun.com/pypi/packages/11/3d/2653f4cf49660bb44eeac8270617cc4c0287d61716f249f55053f0af0724/tf_playwright_stealth-1.2.0-py3-none-any.whl", hash = "sha256:26ee47ee89fa0f43c606fe37c188ea3ccd36f96ea90c01d167b768df457e7886" },
 ]

 [[package]]
 name = "threadpoolctl"
 version = "3.6.0"
--- a/web/src/locales/config.ts
+++ b/web/src/locales/config.ts
@@ -10,9 +10,9 @@ import translation_fr from './fr';
 import translation_id from './id';
 import translation_ja from './ja';
 import translation_pt_br from './pt-br';
 import translation_ru from './ru';
 import { createTranslationTable, flattenObject } from './until';
 import translation_vi from './vi';
 import translation_ru from './ru';
 import translation_zh from './zh';
 import translation_zh_traditional from './zh-traditional';

--- a/web/src/locales/ru.ts
+++ b/web/src/locales/ru.ts
@@ -246,8 +246,7 @@ export default {
      methodExamples: 'Примеры',
      methodExamplesDescription: 'Скриншоты для пояснения:',
      dialogueExamplesTitle: 'просмотр',
      methodEmpty:
        'Здесь будет визуальное объяснение категорий баз знаний',
      methodEmpty: 'Здесь будет визуальное объяснение категорий баз знаний',
      book: `<p>Поддерживаемые форматы: <b>DOCX, PDF, TXT</b>.</p><p>
      Для PDF укажите <i>диапазон страниц</i>.</p>`,
      laws: `<p>Поддерживаемые форматы: <b>DOCX, PDF, TXT</b>.</p><p>
@@ -316,21 +315,19 @@ export default {
 <p>В столбце тегов используйте <b>запятую</b> для разделения тегов.</p>
 `,
      useRaptor: 'Использовать RAPTOR',
      useRaptorTip:
        'Включите RAPTOR для многошаговых вопросно-ответных задач.',
      useRaptorTip: 'Включите RAPTOR для многошаговых вопросно-ответных задач.',
      prompt: 'Промпт',
      promptTip:
        'Опишите задачу для LLM, укажите формат ответа и требования.',
      promptTip: 'Опишите задачу для LLM, укажите формат ответа и требования.',
      promptMessage: 'Требуется промпт',
      promptText: `Пожалуйста, обобщите следующие абзацы. Будьте внимательны с числами, не выдумывайте. Абзацы:
      {cluster_content}
 Выше представлен контент для обобщения.`,
      maxToken: 'Макс. токенов',
      maxTokenTip: 'Максимальное количество токенов на суммаризирующий фрагмент.',
      maxTokenTip:
        'Максимальное количество токенов на суммаризирующий фрагмент.',
      maxTokenMessage: 'Требуется макс. токенов',
      threshold: 'Порог',
      thresholdTip:
        'Минимальное сходство для группировки фрагментов в RAPTOR.',
      thresholdTip: 'Минимальное сходство для группировки фрагментов в RAPTOR.',
      thresholdMessage: 'Требуется порог',
      maxCluster: 'Макс. кластеров',
      maxClusterTip: 'Максимальное количество кластеров.',
@@ -463,8 +460,7 @@ export default {
        'Устанавливает порог для выбора наиболее вероятных слов (ядерная выборка).',
      presencePenalty: 'Штраф за присутствие',
      presencePenaltyMessage: 'Требуется штраф за присутствие',
      presencePenaltyTip:
        'Штрафует слова, уже появившиеся в диалоге.',
      presencePenaltyTip: 'Штрафует слова, уже появившиеся в диалоге.',
      frequencyPenalty: 'Штраф за частоту',
      frequencyPenaltyMessage: 'Требуется штраф за частоту',
      frequencyPenaltyTip:
@@ -553,8 +549,7 @@ export default {
      maxTokensInvalidMessage: 'Введите корректное число для Макс. токенов.',
      maxTokensMinMessage: 'Макс. токенов не может быть меньше 0.',
      password: 'Пароль',
      passwordDescription:
        'Введите текущий пароль для изменения пароля.',
      passwordDescription: 'Введите текущий пароль для изменения пароля.',
      model: 'Провайдеры моделей',
      modelDescription: 'Настройте параметры моделей и API KEY.',
      team: 'Команда',
@@ -584,17 +579,14 @@ export default {
        'Ваш новый пароль должен быть длиннее 8 символов.',
      confirmPassword: 'Подтвердите новый пароль',
      confirmPasswordMessage: 'Подтвердите пароль!',
      confirmPasswordNonMatchMessage:
        'Новые пароли не совпадают!',
      confirmPasswordNonMatchMessage: 'Новые пароли не совпадают!',
      cancel: 'Отмена',
      addedModels: 'Добавленные модели',
      modelsToBeAdded: 'Модели для добавления',
      addTheModel: 'Добавить модель',
      apiKey: 'API-Ключ',
      apiKeyMessage:
        'Введите API ключ (для локальных моделей игнорируйте).',
      apiKeyTip:
        'API ключ можно получить у поставщика LLM.',
      apiKeyMessage: 'Введите API ключ (для локальных моделей игнорируйте).',
      apiKeyTip: 'API ключ можно получить у поставщика LLM.',
      showMoreModels: 'Показать модели',
      hideModels: 'Скрыть модели',
      baseUrl: 'Базовый URL',
@@ -603,22 +595,18 @@ export default {
      modify: 'Изменить',
      systemModelSettings: 'Установить модели по умолчанию',
      chatModel: 'Модель чата',
      chatModelTip:
        'Модель чата по умолчанию для новых баз знаний.',
      chatModelTip: 'Модель чата по умолчанию для новых баз знаний.',
      embeddingModel: 'Модель эмбеддинга',
      embeddingModelTip:
        'Модель эмбеддинга по умолчанию для новых баз знаний.',
      embeddingModelTip: 'Модель эмбеддинга по умолчанию для новых баз знаний.',
      img2txtModel: 'Модель Img2txt',
      img2txtModelTip:
        'Модель описания изображений/видео по умолчанию.',
      img2txtModelTip: 'Модель описания изображений/видео по умолчанию.',
      sequence2txtModel: 'Модель Speech2txt',
      sequence2txtModelTip:
        'Модель ASR по умолчанию для преобразования речи в текст.',
      rerankModel: 'Модель реранкинга',
      rerankModelTip: `Модель реранкинга фрагментов по умолчанию.`,
      ttsModel: 'Модель TTS',
      ttsModelTip:
        'Модель преобразования текста в речь по умолчанию.',
      ttsModelTip: 'Модель преобразования текста в речь по умолчанию.',
      workspace: 'Рабочее пространство',
      upgrade: 'Обновить',
      addLlmTitle: 'Добавить LLM',
@@ -677,8 +665,7 @@ export default {
      yiyanAKMessage: 'Введите ваш API KEY',
      addyiyanSK: 'yiyan Secret KEY',
      yiyanSKMessage: 'Введите ваш Secret KEY',
      FishAudioModelNameMessage:
        'Дайте имя вашей модели синтеза речи',
      FishAudioModelNameMessage: 'Дайте имя вашей модели синтеза речи',
      addFishAudioAK: 'Fish Audio API KEY',
      addFishAudioAKMessage: 'Введите ваш API KEY',
      addFishAudioRefID: 'FishAudio Reference ID',
@@ -715,7 +702,7 @@ export default {
      configuration: 'Конфигурация',
      langfuseDescription:
        'Трассировка, оценка, управление промптами и метрики для отладки и улучшения вашего LLM-приложения.',
      viewLangfuseSDocumentation: "Документация Langfuse",
      viewLangfuseSDocumentation: 'Документация Langfuse',
      view: 'Просмотр',
      modelsToBeAddedTooltip:
        'Если ваш провайдер не указан, но заявляет о "совместимости с OpenAI API", выберите соответствующую карточку.',
@@ -776,8 +763,7 @@ export default {
      s3: 'S3 загрузки',
      preview: 'Просмотр',
      fileError: 'Ошибка файла',
      uploadLimit:
        'Каждый файл ≤10MB, всего файлов ≤128.',
      uploadLimit: 'Каждый файл ≤10MB, всего файлов ≤128.',
      destinationFolder: 'Целевая папка',
    },
    flow: {
@@ -844,8 +830,7 @@ export default {
      baidu: 'Baidu',
      baiduDescription: `Ищет на baidu.com.`,
      duckDuckGo: 'DuckDuckGo',
      duckDuckGoDescription:
        'Ищет на duckduckgo.com.',
      duckDuckGoDescription: 'Ищет на duckduckgo.com.',
      channel: 'Канал',
      channelTip: `Текстовый или новостной поиск`,
      text: 'Текст',
@@ -855,14 +840,11 @@ export default {
        'Количество сообщений истории, видимых LLM. Учитывайте ограничение токенов модели.',
      wikipedia: 'Wikipedia',
      pubMed: 'PubMed',
      pubMedDescription:
        'Ищет на https://pubmed.ncbi.nlm.nih.gov/.',
      pubMedDescription: 'Ищет на https://pubmed.ncbi.nlm.nih.gov/.',
      email: 'Email',
      emailTip:
        'Email обязателен.',
      emailTip: 'Email обязателен.',
      arXiv: 'ArXiv',
      arXivDescription:
        'Ищет на https://arxiv.org/.',
      arXivDescription: 'Ищет на https://arxiv.org/.',
      sortBy: 'Сортировать по',
      submittedDate: 'Дата отправки',
      lastUpdatedDate: 'Дата обновления',
@@ -877,24 +859,20 @@ export default {
      country: 'Страна и регион',
      language: 'Язык',
      googleScholar: 'Google Scholar',
      googleScholarDescription:
        'Ищет на https://scholar.google.com/.',
      googleScholarDescription: 'Ищет на https://scholar.google.com/.',
      yearLow: 'Год от',
      yearHigh: 'Год до',
      patents: 'Патенты',
      data: 'Данные',
      deepL: 'DeepL',
      deepLDescription:
        'Перевод с помощью https://www.deepl.com/.',
      deepLDescription: 'Перевод с помощью https://www.deepl.com/.',
      authKey: 'Ключ авторизации',
      sourceLang: 'Исходный язык',
      targetLang: 'Целевой язык',
      gitHub: 'GitHub',
      gitHubDescription:
        'Ищет репозитории на https://github.com/.',
      gitHubDescription: 'Ищет репозитории на https://github.com/.',
      baiduFanyi: 'BaiduFanyi',
      baiduFanyiDescription:
        'Перевод с помощью https://fanyi.baidu.com/.',
      baiduFanyiDescription: 'Перевод с помощью https://fanyi.baidu.com/.',
      appid: 'App ID',
      secretKey: 'Секретный ключ',
      domain: 'Домен',
@@ -1062,8 +1040,7 @@ export default {
      yahooFinanceDescription:
        'Запрашивает информацию о публичной компании по тикеру.',
      crawler: 'Веб-краулер',
      crawlerDescription:
        'Скачивает HTML-код с указанного URL.',
      crawlerDescription: 'Скачивает HTML-код с указанного URL.',
      proxy: 'Прокси',
      crawlerResultOptions: {
        html: 'Html',
@@ -1077,8 +1054,7 @@ export default {
      balanceSheet: 'Баланс',
      cashFlowStatement: 'Отчет о движении денежных средств',
      jin10: 'Jin10',
      jin10Description:
        'Получает финансовую информацию с Jin10 Open Platform.',
      jin10Description: 'Получает финансовую информацию с Jin10 Open Platform.',
      flashType: 'Тип новости',
      filter: 'Фильтр',
      contain: 'Содержит',
@@ -1265,13 +1241,13 @@ export default {
        'Выберите базы знаний для ассистента или переменные с ID баз знаний.',
      knowledgeBaseVars: 'Переменные базы знаний',
      code: 'Код',
      codeDescription: 'Позволяет разработчикам писать пользовательскую логику на Python.',
      codeDescription:
        'Позволяет разработчикам писать пользовательскую логику на Python.',
      inputVariables: 'Входные переменные',
      runningHintText: 'выполняется...🕞',
      openingSwitch: 'Приветствие',
      openingCopy: 'Приветственное сообщение',
      openingSwitchTip:
        'Пользователи увидят это приветствие в начале.',
      openingSwitchTip: 'Пользователи увидят это приветствие в начале.',
      modeTip: 'Режим определяет, как запускается рабочий процесс.',
      beginInputTip:
        'Определите входные параметры для доступа в последующих процессах.',