feat: add embeddings model management (#1461)

* feat: add embeddings model management backend support

Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com>

* feat: add embeddings model management frontend support

Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com>

* chore: revert HttpClient URL to production setting

Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com>

* refactor: integrate embeddings models into models page with tabs

Co-Authored-By: Junyan Qin <Chin> <rockchinq@gmail.com>

* perf: move files

* perf: remove `s`

* feat: allow requester to declare supported types in manifest

* feat(embedding): delete dimension and encoding format

* feat: add extra_args for embedding moels

* perf: i18n ref

* fix: linter err

* fix: lint err

* fix: linter err

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: Junyan Qin <Chin> <rockchinq@gmail.com>

web/src/i18n/locales/en-US.ts

@@ -86,14 +86,13 @@ const enUS = {
     string: 'String',
     number: 'Number',
     boolean: 'Boolean',
-    extraParametersDescription:
-      'Will be attached to the request body, such as max_tokens, temperature, top_p, etc.',
     selectModelProvider: 'Select Model Provider',
     modelProviderDescription:
       'Please fill in the model name provided by the supplier',
     selectModel: 'Select Model',
     testSuccess: 'Test successful',
     testError: 'Test failed, please check your model configuration',
+    llmModels: 'LLM Models',
   },
   bots: {
     title: 'Bots',
@@ -259,6 +258,21 @@ const enUS = {
       'Password reset failed, please check your email and recovery key',
     backToLogin: 'Back to Login',
   },
+  embedding: {
+    description: 'Manage Embedding models for text vectorization',
+    createModel: 'Create Embedding Model',
+    editModel: 'Edit Embedding Model',
+    getModelListError: 'Failed to get Embedding model list: ',
+    embeddingModels: 'Embedding',
+    extraParametersDescription:
+      'Will be attached to the request body, such as encoding_format, dimensions, etc.',
+  },
+  llm: {
+    description: 'Manage LLM models for conversation generation',
+    llmModels: 'LLM',
+    extraParametersDescription:
+      'Will be attached to the request body, such as max_tokens, temperature, top_p, etc.',
+  },
 };
 
 export default enUS;

web/src/i18n/locales/zh-Hans.ts

@@ -87,13 +87,12 @@ const zhHans = {
     string: '字符串',
     number: '数字',
     boolean: '布尔值',
-    extraParametersDescription:
-      '将在请求时附加到请求体中，如 max_tokens, temperature, top_p 等',
     selectModelProvider: '选择模型供应商',
     modelProviderDescription: '请填写供应商向您提供的模型名称',
     selectModel: '请选择模型',
     testSuccess: '测试成功',
     testError: '测试失败，请检查模型配置',
+    llmModels: '对话模型',
   },
   bots: {
     title: '机器人',
@@ -251,6 +250,21 @@ const zhHans = {
     resetFailed: '密码重置失败，请检查邮箱和恢复密钥是否正确',
     backToLogin: '返回登录',
   },
+  embedding: {
+    description: '管理嵌入模型，用于向量化文本',
+    createModel: '创建嵌入模型',
+    editModel: '编辑嵌入模型',
+    getModelListError: '获取嵌入模型列表失败：',
+    embeddingModels: '嵌入模型',
+    extraParametersDescription:
+      '将在请求时附加到请求体中，如 encoding_format, dimensions 等',
+  },
+  llm: {
+    llmModels: '对话模型',
+    description: '管理 LLM 模型，用于对话消息生成',
+    extraParametersDescription:
+      '将在请求时附加到请求体中，如 max_tokens, temperature, top_p 等',
+  },
 };
 
 export default zhHans;