Fix/update jina ai products labels and descriptions (#8730)

Co-authored-by: sa zhang <sa.zhang@jina.ai>
2024-11-16 11:42:29 +08:00 · 2024-09-24 21:19:49 +08:00 · 2024-09-24 21:19:49 +08:00 · debe5953a8
commit debe5953a8
parent 1c7877b048
3 changed files with 50 additions and 39 deletions
--- a/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml
+++ b/api/core/tools/provider/builtin/jina/tools/jina_reader.yaml
@ -2,14 +2,14 @@ identity:
  name: jina_reader
  author: Dify
  label:
-    en_US: JinaReader
-    zh_Hans: JinaReader
-    pt_BR: JinaReader
+    en_US: Fetch Single Page
+    zh_Hans: 获取单页面
+    pt_BR: Fetch Single Page
 description:
  human:
-    en_US: Convert any URL to an LLM-friendly input. Experience improved output for your agent and RAG systems at no cost.
-    zh_Hans: 将任何 URL 转换为 LLM 友好的输入。无需付费即可体验为您的 Agent 和 RAG 系统提供的改进输出。
-    pt_BR: Converta qualquer URL em uma entrada amigável ao LLM. Experimente uma saída aprimorada para seus sistemas de agente e RAG sem custo.
+    en_US: Fetch the target URL (can be a PDF) and convert it into a LLM-friendly markdown.
+    zh_Hans: 获取目标网址（可以是 PDF），并将其转换为适合大模型处理的 Markdown 格式。
+    pt_BR: Busque a URL de destino (que pode ser um PDF) e converta em um Markdown LLM-friendly.
  llm: A tool for scraping webpages. Input should be a URL.
 parameters:
  - name: url
@ -17,13 +17,13 @@ parameters:
    required: true
    label:
      en_US: URL
-      zh_Hans: 网页链接
+      zh_Hans: 网址
      pt_BR: URL
    human_description:
-      en_US: used for linking to webpages
-      zh_Hans: 用于链接到网页
-      pt_BR: used for linking to webpages
-    llm_description: url for scraping
+      en_US: Web link
+      zh_Hans: 网页链接
+      pt_BR: URL da web
+    llm_description: url para scraping
    form: llm
  - name: request_params
    type: string
@ -31,14 +31,14 @@ parameters:
    label:
      en_US: Request params
      zh_Hans: 请求参数
-      pt_BR: Request params
+      pt_BR: Parâmetros de solicitação
    human_description:
      en_US: |
        request parameters, format: {"key1": "value1", "key2": "value2"}
      zh_Hans: |
        请求参数，格式：{"key1": "value1", "key2": "value2"}
      pt_BR: |
-        request parameters, format: {"key1": "value1", "key2": "value2"}
+        parâmetros de solicitação, formato: {"key1": "value1", "key2": "value2"}
    llm_description: request parameters
    form: llm
  - name: target_selector
@ -51,7 +51,7 @@ parameters:
    human_description:
      en_US: css selector for scraping specific elements
      zh_Hans: css 选择器用于抓取特定元素
-      pt_BR: css selector for scraping specific elements
+      pt_BR: css selector para scraping de elementos específicos
    llm_description: css selector of the target element to scrape
    form: form
  - name: wait_for_selector
@ -64,7 +64,7 @@ parameters:
    human_description:
      en_US: css selector for waiting for specific elements
      zh_Hans: css 选择器用于等待特定元素
-      pt_BR: css selector for waiting for specific elements
+      pt_BR: css selector para aguardar elementos específicos
    llm_description: css selector of the target element to wait for
    form: form
  - name: image_caption
@ -77,8 +77,8 @@ parameters:
      pt_BR: Legenda da imagem
    human_description:
      en_US: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing."
-      zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签。这允许下游 LLM 在推理和总结等活动中与图像进行交互。"
-      pt_BR: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing."
+      zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签，以支持下游模型的图像交互。"
+      pt_BR: "Adiciona legendas a todas as imagens na URL especificada, adicionando 'Imagem [idx]: [legenda]' como uma tag alt para aquelas que não têm uma. Isso permite que os modelos LLM inferiores interajam com as imagens em atividades como raciocínio e resumo."
    llm_description: Captions all images at the specified URL
    form: form
  - name: gather_all_links_at_the_end
@ -91,8 +91,8 @@ parameters:
      pt_BR: Coletar todos os links ao final
    human_description:
      en_US: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
-      zh_Hans: 最后会创建一个“按钮和链接”部分。这可以帮助下游 LLM 或 Web 代理浏览页面或采取进一步的行动。
-      pt_BR: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
+      zh_Hans: 末尾将添加“按钮和链接”部分，方便下游模型或网络代理做页面导航或执行进一步操作。
+      pt_BR: Um "Botões & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
    llm_description: Gather all links at the end
    form: form
  - name: gather_all_images_at_the_end
@ -105,8 +105,8 @@ parameters:
      pt_BR: Coletar todas as imagens ao final
    human_description:
      en_US: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
-      zh_Hans: 最后会创建一个“图像”部分。这可以让下游的 LLM 概览页面上的所有视觉效果，从而提高推理能力。
-      pt_BR: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
+      zh_Hans: 末尾会新增“图片”部分，方便下游模型全面了解页面的视觉内容，提升推理效果。
+      pt_BR: Um "Imagens" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
    llm_description: Gather all images at the end
    form: form
  - name: proxy_server
--- a/api/core/tools/provider/builtin/jina/tools/jina_search.yaml
+++ b/api/core/tools/provider/builtin/jina/tools/jina_search.yaml
@ -2,13 +2,14 @@ identity:
  name: jina_search
  author: Dify
  label:
-    en_US: JinaSearch
-    zh_Hans: JinaSearch
-    pt_BR: JinaSearch
+    en_US: Search the web
+    zh_Hans: 联网搜索
+    pt_BR: Search the web
 description:
  human:
-    en_US: Search on the web and get the top 5 results. Useful for grounding using information from the web.
-    zh_Hans: 在网络上搜索返回前 5 个结果。
+    en_US: Search on the public web of a given query and return the top results as LLM-friendly markdown.
+    zh_Hans: 针对给定的查询在互联网上进行搜索，并以适合大模型处理的 Markdown 格式返回最相关的结果。
+    pt_BR: Procurar na web pública de uma consulta fornecida e retornar os melhores resultados como markdown para LLMs.
  llm: A tool for searching results on the web for grounding. Input should be a simple question.
 parameters:
  - name: query
@ -16,11 +17,13 @@ parameters:
    required: true
    label:
      en_US: Question (Query)
-      zh_Hans: 信息查询
+      zh_Hans: 查询
+      pt_BR: Pergunta (Consulta)
    human_description:
      en_US: used to find information on the web
      zh_Hans: 在网络上搜索信息
-    llm_description: simple question to ask on the web
+      pt_BR: Usado para encontrar informações na web
+    llm_description: Pergunta simples para fazer na web
    form: llm
  - name: image_caption
    type: boolean
@ -32,7 +35,7 @@ parameters:
      pt_BR: Legenda da imagem
    human_description:
      en_US: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing."
-      zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签。这允许下游 LLM 在推理和总结等活动中与图像进行交互。"
+      zh_Hans: "为指定 URL 上的所有图像添加标题，为没有标题的图像添加“Image [idx]: [caption]”作为 alt 标签，以支持下游模型的图像交互。"
      pt_BR: "Captions all images at the specified URL, adding 'Image [idx]: [caption]' as an alt tag for those without one. This allows downstream LLMs to interact with the images in activities such as reasoning and summarizing."
    llm_description: Captions all images at the specified URL
    form: form
@ -46,8 +49,8 @@ parameters:
      pt_BR: Coletar todos os links ao final
    human_description:
      en_US: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
-      zh_Hans: 最后会创建一个“按钮和链接”部分。这可以帮助下游 LLM 或 Web 代理浏览页面或采取进一步的行动。
-      pt_BR: A "Buttons & Links" section will be created at the end. This helps the downstream LLMs or web agents navigating the page or take further actions.
+      zh_Hans: 末尾将添加“按钮和链接”部分，汇总页面上的所有链接。方便下游模型或网络代理做页面导航或执行进一步操作。
+      pt_BR: Um "Botão & Links" seção será criada no final. Isso ajuda os LLMs ou agentes da web navegando pela página ou executar ações adicionais.
    llm_description: Gather all links at the end
    form: form
  - name: gather_all_images_at_the_end
@ -60,8 +63,8 @@ parameters:
      pt_BR: Coletar todas as imagens ao final
    human_description:
      en_US: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
-      zh_Hans: 最后会创建一个“图像”部分。这可以让下游的 LLM 概览页面上的所有视觉效果，从而提高推理能力。
-      pt_BR: An "Images" section will be created at the end. This gives the downstream LLMs an overview of all visuals on the page, which may improve reasoning.
+      zh_Hans: 末尾会新增“图片”部分，汇总页面上的所有图片。方便下游模型概览页面的视觉内容，提升推理效果。
+      pt_BR: Um "Imagens" seção será criada no final. Isso fornece uma visão geral de todas as imagens na página para os LLMs, que pode melhorar a razão.
    llm_description: Gather all images at the end
    form: form
  - name: proxy_server
@ -74,7 +77,7 @@ parameters:
    human_description:
      en_US: Use proxy to access URLs
      zh_Hans: 利用代理访问 URL
-      pt_BR: Use proxy to access URLs
+      pt_BR: Usar proxy para acessar URLs
    llm_description: Use proxy to access URLs
    form: form
  - name: no_cache
@ -83,7 +86,7 @@ parameters:
    default: false
    label:
      en_US: Bypass the Cache
-      zh_Hans: 绕过缓存
+      zh_Hans: 是否绕过缓存
      pt_BR: Ignorar o cache
    human_description:
      en_US: Bypass the Cache
--- a/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml
+++ b/api/core/tools/provider/builtin/jina/tools/jina_tokenizer.yaml
@ -2,11 +2,14 @@ identity:
  name: jina_tokenizer
  author: hjlarry
  label:
-    en_US: JinaTokenizer
+    en_US: Segment
+    zh_Hans: 切分器
+    pt_BR: Segment
 description:
  human:
-    en_US: Free API to tokenize text and segment long text into chunks.
-    zh_Hans: 免费的API可以将文本tokenize，也可以将长文本分割成多个部分。
+    en_US: Split long text into chunks and do tokenization.
+    zh_Hans: 将长文本拆分成小段落，并做分词处理。
+    pt_BR: Dividir o texto longo em pedaços e fazer tokenização.
  llm: Free API to tokenize text and segment long text into chunks.
 parameters:
  - name: content
@ -15,6 +18,7 @@ parameters:
    label:
      en_US: Content
      zh_Hans: 内容
+      pt_BR: Conteúdo
    llm_description: the content which need to tokenize or segment
    form: llm
  - name: return_tokens
@ -23,18 +27,22 @@ parameters:
    label:
      en_US: Return the tokens
      zh_Hans: 是否返回tokens
+      pt_BR: Retornar os tokens
    human_description:
      en_US: Return the tokens and their corresponding ids in the response.
      zh_Hans: 返回tokens及其对应的ids。
+      pt_BR: Retornar os tokens e seus respectivos ids na resposta.
    form: form
  - name: return_chunks
    type: boolean
    label:
      en_US: Return the chunks
      zh_Hans: 是否分块
+      pt_BR: Retornar os chunks
    human_description:
      en_US: Chunking the input into semantically meaningful segments while handling a wide variety of text types and edge cases based on common structural cues.
-      zh_Hans: 将输入分块为具有语义意义的片段，同时根据常见的结构线索处理各种文本类型和边缘情况。
+      zh_Hans: 将输入文本分块为语义有意义的片段，同时基于常见的结构线索处理各种文本类型和特殊情况。
+      pt_BR: Dividir o texto de entrada em segmentos semanticamente significativos, enquanto lida com uma ampla variedade de tipos de texto e casos de borda com base em pistas estruturais comuns.
    form: form
  - name: tokenizer
    type: select