Merge remote-tracking branch 'origin/alpha' into alpha

constant/context_key.go

@@ -40,4 +40,6 @@ const (
 	ContextKeyUserGroup   ContextKey = "user_group"
 	ContextKeyUsingGroup  ContextKey = "group"
 	ContextKeyUserName    ContextKey = "username"
+
+	ContextKeySystemPromptOverride ContextKey = "system_prompt_override"
 )

controller/midjourney.go

@@ -145,6 +145,22 @@ func UpdateMidjourneyTaskBulk() {
 					buttonStr, _ := json.Marshal(responseItem.Buttons)
 					task.Buttons = string(buttonStr)
 				}
+				// 映射 VideoUrl
+				task.VideoUrl = responseItem.VideoUrl
+				
+				// 映射 VideoUrls - 将数组序列化为 JSON 字符串
+				if responseItem.VideoUrls != nil && len(responseItem.VideoUrls) > 0 {
+					videoUrlsStr, err := json.Marshal(responseItem.VideoUrls)
+					if err != nil {
+						common.LogError(ctx, fmt.Sprintf("序列化 VideoUrls 失败: %v", err))
+						task.VideoUrls = "[]" // 失败时设置为空数组
+					} else {
+						task.VideoUrls = string(videoUrlsStr)
+					}
+				} else {
+					task.VideoUrls = "" // 空值时清空字段
+				}
+				
 				shouldReturnQuota := false
 				if (task.Progress != "100%" && responseItem.FailReason != "") || (task.Progress == "100%" && task.Status == "FAILURE") {
 					common.LogInfo(ctx, task.MjId+" 构建失败，"+task.FailReason)
@@ -208,6 +224,20 @@ func checkMjTaskNeedUpdate(oldTask *model.Midjourney, newTask dto.MidjourneyDto)
 	if oldTask.Progress != "100%" && newTask.FailReason != "" {
 		return true
 	}
+	// 检查 VideoUrl 是否需要更新
+	if oldTask.VideoUrl != newTask.VideoUrl {
+		return true
+	}
+	// 检查 VideoUrls 是否需要更新
+	if newTask.VideoUrls != nil && len(newTask.VideoUrls) > 0 {
+		newVideoUrlsStr, _ := json.Marshal(newTask.VideoUrls)
+		if oldTask.VideoUrls != string(newVideoUrlsStr) {
+			return true
+		}
+	} else if oldTask.VideoUrls != "" {
+		// 如果新数据没有 VideoUrls 但旧数据有，需要更新（清空）
+		return true
+	}
 
 	return false
 }

dto/channel_settings.go

@@ -6,4 +6,5 @@ type ChannelSettings struct {
 	Proxy                  string `json:"proxy"`
 	PassThroughBodyEnabled bool   `json:"pass_through_body_enabled,omitempty"`
 	SystemPrompt           string `json:"system_prompt,omitempty"`
+	SystemPromptOverride   bool   `json:"system_prompt_override,omitempty"`
 }

dto/gemini.go

@@ -216,10 +216,14 @@ type GeminiEmbeddingRequest struct {
 	OutputDimensionality int               `json:"outputDimensionality,omitempty"`
 }
 
-type GeminiEmbeddingResponse struct {
+type GeminiBatchEmbeddingRequest struct {
-	Embedding ContentEmbedding `json:"embedding"`
+	Requests []*GeminiEmbeddingRequest `json:"requests"`
 }
 
-type ContentEmbedding struct {
+type GeminiEmbedding struct {
 	Values []float64 `json:"values"`
 }
+
+type GeminiBatchEmbeddingResponse struct {
+	Embeddings []*GeminiEmbedding `json:"embeddings"`
+}

dto/openai_request.go

@@ -78,6 +78,8 @@ func (r *GeneralOpenAIRequest) GetSystemRoleName() string {
 		if !strings.HasPrefix(r.Model, "o1-mini") && !strings.HasPrefix(r.Model, "o1-preview") {
 			return "developer"
 		}
+	} else if strings.HasPrefix(r.Model, "gpt-5") {
+		return "developer"
 	}
 	return "system"
 }

middleware/distributor.go

@@ -267,6 +267,8 @@ func SetupContextForSelectedChannel(c *gin.Context, channel *model.Channel, mode
 	common.SetContextKey(c, constant.ContextKeyChannelKey, key)
 	common.SetContextKey(c, constant.ContextKeyChannelBaseUrl, channel.GetBaseURL())
 
+	common.SetContextKey(c, constant.ContextKeySystemPromptOverride, false)
+
 	// TODO: api_version统一
 	switch channel.Type {
 	case constant.ChannelTypeAzure:

relay/channel/gemini/adaptor.go

@@ -114,7 +114,7 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
 	if strings.HasPrefix(info.UpstreamModelName, "text-embedding") ||
 		strings.HasPrefix(info.UpstreamModelName, "embedding") ||
 		strings.HasPrefix(info.UpstreamModelName, "gemini-embedding") {
-		return fmt.Sprintf("%s/%s/models/%s:embedContent", info.BaseUrl, version, info.UpstreamModelName), nil
+		return fmt.Sprintf("%s/%s/models/%s:batchEmbedContents", info.BaseUrl, version, info.UpstreamModelName), nil
 	}
 
 	action := "generateContent"
@@ -159,29 +159,35 @@ func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.Rela
 	if len(inputs) == 0 {
 		return nil, errors.New("input is empty")
 	}
-
+	// process all inputs
-	// only process the first input
+	geminiRequests := make([]map[string]interface{}, 0, len(inputs))
-	geminiRequest := dto.GeminiEmbeddingRequest{
+	for _, input := range inputs {
-		Content: dto.GeminiChatContent{
+		geminiRequest := map[string]interface{}{
-			Parts: []dto.GeminiPart{
+			"model": fmt.Sprintf("models/%s", info.UpstreamModelName),
-				{
+			"content": dto.GeminiChatContent{
-					Text: inputs[0],
+				Parts: []dto.GeminiPart{
+					{
+						Text: input,
+					},
 				},
 			},
-		},
-	}
-
-	// set specific parameters for different models
-	// https://ai.google.dev/api/embeddings?hl=zh-cn#method:-models.embedcontent
-	switch info.UpstreamModelName {
-	case "text-embedding-004":
-		// except embedding-001 supports setting `OutputDimensionality`
-		if request.Dimensions > 0 {
-			geminiRequest.OutputDimensionality = request.Dimensions
 		}
+
+		// set specific parameters for different models
+		// https://ai.google.dev/api/embeddings?hl=zh-cn#method:-models.embedcontent
+		switch info.UpstreamModelName {
+		case "text-embedding-004","gemini-embedding-exp-03-07","gemini-embedding-001":
+			// Only newer models introduced after 2024 support OutputDimensionality
+			if request.Dimensions > 0 {
+				geminiRequest["outputDimensionality"] = request.Dimensions
+			}
+		}
+		geminiRequests = append(geminiRequests, geminiRequest)
 	}
 
-	return geminiRequest, nil
+	return map[string]interface{}{
+		"requests": geminiRequests,
+	}, nil
 }
 
 func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {

relay/channel/gemini/relay-gemini.go

@@ -1071,7 +1071,7 @@ func GeminiEmbeddingHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *h
 		return nil, types.NewOpenAIError(readErr, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
 	}
 
-	var geminiResponse dto.GeminiEmbeddingResponse
+	var geminiResponse dto.GeminiBatchEmbeddingResponse
 	if jsonErr := common.Unmarshal(responseBody, &geminiResponse); jsonErr != nil {
 		return nil, types.NewOpenAIError(jsonErr, types.ErrorCodeBadResponseBody, http.StatusInternalServerError)
 	}
@@ -1079,14 +1079,16 @@ func GeminiEmbeddingHandler(c *gin.Context, info *relaycommon.RelayInfo, resp *h
 	// convert to openai format response
 	openAIResponse := dto.OpenAIEmbeddingResponse{
 		Object: "list",
-		Data: []dto.OpenAIEmbeddingResponseItem{
+		Data:   make([]dto.OpenAIEmbeddingResponseItem, 0, len(geminiResponse.Embeddings)),
-			{
+		Model:  info.UpstreamModelName,
-				Object:    "embedding",
+	}
-				Embedding: geminiResponse.Embedding.Values,
+
-				Index:     0,
+	for i, embedding := range geminiResponse.Embeddings {
-			},
+		openAIResponse.Data = append(openAIResponse.Data, dto.OpenAIEmbeddingResponseItem{
-		},
+			Object:    "embedding",
-		Model: info.UpstreamModelName,
+			Embedding: embedding.Values,
+			Index:     i,
+		})
 	}
 
 	// calculate usage

relay/channel/zhipu_4v/adaptor.go

@@ -54,8 +54,7 @@ func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
 
 func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Header, info *relaycommon.RelayInfo) error {
 	channel.SetupApiRequestHeader(info, c, req)
-	token := getZhipuToken(info.ApiKey)
+	req.Set("Authorization", "Bearer "+info.ApiKey)
-	req.Set("Authorization", token)
 	return nil
 }
 

relay/channel/zhipu_4v/relay-zhipu_v4.go

@@ -1,69 +1,10 @@
 package zhipu_4v
 
 import (
-	"github.com/golang-jwt/jwt"
-	"one-api/common"
 	"one-api/dto"
 	"strings"
-	"sync"
-	"time"
 )
 
-// https://open.bigmodel.cn/doc/api#chatglm_std
-// chatglm_std, chatglm_lite
-// https://open.bigmodel.cn/api/paas/v3/model-api/chatglm_std/invoke
-// https://open.bigmodel.cn/api/paas/v3/model-api/chatglm_std/sse-invoke
-
-var zhipuTokens sync.Map
-var expSeconds int64 = 24 * 3600
-
-func getZhipuToken(apikey string) string {
-	data, ok := zhipuTokens.Load(apikey)
-	if ok {
-		tokenData := data.(tokenData)
-		if time.Now().Before(tokenData.ExpiryTime) {
-			return tokenData.Token
-		}
-	}
-
-	split := strings.Split(apikey, ".")
-	if len(split) != 2 {
-		common.SysError("invalid zhipu key: " + apikey)
-		return ""
-	}
-
-	id := split[0]
-	secret := split[1]
-
-	expMillis := time.Now().Add(time.Duration(expSeconds)*time.Second).UnixNano() / 1e6
-	expiryTime := time.Now().Add(time.Duration(expSeconds) * time.Second)
-
-	timestamp := time.Now().UnixNano() / 1e6
-
-	payload := jwt.MapClaims{
-		"api_key":   id,
-		"exp":       expMillis,
-		"timestamp": timestamp,
-	}
-
-	token := jwt.NewWithClaims(jwt.SigningMethodHS256, payload)
-
-	token.Header["alg"] = "HS256"
-	token.Header["sign_type"] = "SIGN"
-
-	tokenString, err := token.SignedString([]byte(secret))
-	if err != nil {
-		return ""
-	}
-
-	zhipuTokens.Store(apikey, tokenData{
-		Token:      tokenString,
-		ExpiryTime: expiryTime,
-	})
-
-	return tokenString
-}
-
 func requestOpenAI2Zhipu(request dto.GeneralOpenAIRequest) *dto.GeneralOpenAIRequest {
 	messages := make([]dto.Message, 0, len(request.Messages))
 	for _, message := range request.Messages {

relay/relay-text.go

@@ -201,6 +201,26 @@ func TextHelper(c *gin.Context) (newAPIError *types.NewAPIError) {
 					Content: relayInfo.ChannelSetting.SystemPrompt,
 				}
 				request.Messages = append([]dto.Message{systemMessage}, request.Messages...)
+			} else if relayInfo.ChannelSetting.SystemPromptOverride {
+				common.SetContextKey(c, constant.ContextKeySystemPromptOverride, true)
+				// 如果有系统提示，且允许覆盖，则拼接到前面
+				for i, message := range request.Messages {
+					if message.Role == request.GetSystemRoleName() {
+						if message.IsStringContent() {
+							request.Messages[i].SetStringContent(relayInfo.ChannelSetting.SystemPrompt + "\n" + message.StringContent())
+						} else {
+							contents := message.ParseContent()
+							contents = append([]dto.MediaContent{
+								{
+									Type: dto.ContentTypeText,
+									Text: relayInfo.ChannelSetting.SystemPrompt,
+								},
+							}, contents...)
+							request.Messages[i].Content = contents
+						}
+						break
+					}
+				}
 			}
 		}
 

service/log_info_generate.go

@@ -28,6 +28,12 @@ func GenerateTextOtherInfo(ctx *gin.Context, relayInfo *relaycommon.RelayInfo, m
 		other["is_model_mapped"] = true
 		other["upstream_model_name"] = relayInfo.UpstreamModelName
 	}
+
+	isSystemPromptOverwritten := common.GetContextKeyBool(ctx, constant.ContextKeySystemPromptOverride)
+	if isSystemPromptOverwritten {
+		other["is_system_prompt_overwritten"] = true
+	}
+
 	adminInfo := make(map[string]interface{})
 	adminInfo["use_channel"] = ctx.GetStringSlice("use_channel")
 	isMultiKey := common.GetContextKeyBool(ctx, constant.ContextKeyChannelIsMultiKey)

web/src/components/table/channels/modals/EditChannelModal.jsx

@@ -131,6 +131,7 @@ const EditChannelModal = (props) => {
     proxy: '',
     pass_through_body_enabled: false,
     system_prompt: '',
+    system_prompt_override: false,
   };
   const [batch, setBatch] = useState(false);
   const [multiToSingle, setMultiToSingle] = useState(false);
@@ -340,12 +341,15 @@ const EditChannelModal = (props) => {
           data.proxy = parsedSettings.proxy || '';
           data.pass_through_body_enabled = parsedSettings.pass_through_body_enabled || false;
           data.system_prompt = parsedSettings.system_prompt || '';
+          data.system_prompt_override = parsedSettings.system_prompt_override || false;
         } catch (error) {
           console.error('解析渠道设置失败:', error);
           data.force_format = false;
           data.thinking_to_content = false;
           data.proxy = '';
           data.pass_through_body_enabled = false;
+          data.system_prompt = '';
+          data.system_prompt_override = false;
         }
       } else {
         data.force_format = false;
@@ -353,6 +357,7 @@ const EditChannelModal = (props) => {
         data.proxy = '';
         data.pass_through_body_enabled = false;
         data.system_prompt = '';
+        data.system_prompt_override = false;
       }
 
       setInputs(data);
@@ -372,6 +377,7 @@ const EditChannelModal = (props) => {
         proxy: data.proxy,
         pass_through_body_enabled: data.pass_through_body_enabled,
         system_prompt: data.system_prompt,
+        system_prompt_override: data.system_prompt_override || false,
       });
       // console.log(data);
     } else {
@@ -573,6 +579,7 @@ const EditChannelModal = (props) => {
         proxy: '',
         pass_through_body_enabled: false,
         system_prompt: '',
+        system_prompt_override: false,
       });
       // 重置密钥模式状态
       setKeyMode('append');
@@ -721,6 +728,7 @@ const EditChannelModal = (props) => {
       proxy: localInputs.proxy || '',
       pass_through_body_enabled: localInputs.pass_through_body_enabled || false,
       system_prompt: localInputs.system_prompt || '',
+      system_prompt_override: localInputs.system_prompt_override || false,
     };
     localInputs.setting = JSON.stringify(channelExtraSettings);
 
@@ -730,6 +738,7 @@ const EditChannelModal = (props) => {
     delete localInputs.proxy;
     delete localInputs.pass_through_body_enabled;
     delete localInputs.system_prompt;
+    delete localInputs.system_prompt_override;
 
     let res;
     localInputs.auto_ban = localInputs.auto_ban ? 1 : 0;
@@ -1722,6 +1731,14 @@ const EditChannelModal = (props) => {
                     showClear
                     extraText={t('用户优先：如果用户在请求中指定了系统提示词，将优先使用用户的设置')}
                   />
+                  <Form.Switch
+                    field='system_prompt_override'
+                    label={t('系统提示词拼接')}
+                    checkedText={t('开')}
+                    uncheckedText={t('关')}
+                    onChange={(value) => handleChannelSettingsChange('system_prompt_override', value)}
+                    extraText={t('如果用户请求中包含系统提示词，则使用此设置拼接到用户的系统提示词前面')}
+                  />
                 </Card>
               </div>
             </Spin>

web/src/components/table/task-logs/TaskLogsColumnDefs.js

@@ -211,6 +211,7 @@ export const getTaskLogsColumns = ({
   copyText,
   openContentModal,
   isAdminUser,
+  openVideoModal,
 }) => {
   return [
     {
@@ -342,7 +343,13 @@ export const getTaskLogsColumns = ({
         const isUrl = typeof text === 'string' && /^https?:\/\//.test(text);
         if (isSuccess && isVideoTask && isUrl) {
           return (
-            <a href={text} target="_blank" rel="noopener noreferrer">
+            <a
+              href="#"
+              onClick={e => {
+                e.preventDefault();
+                openVideoModal(text);
+              }}
+            >
               {t('点击预览视频')}
             </a>
           );

web/src/components/table/task-logs/TaskLogsTable.jsx

@@ -39,6 +39,7 @@ const TaskLogsTable = (taskLogsData) => {
     handlePageSizeChange,
     copyText,
     openContentModal,
+    openVideoModal,
     isAdminUser,
     t,
     COLUMN_KEYS,
@@ -51,6 +52,7 @@ const TaskLogsTable = (taskLogsData) => {
       COLUMN_KEYS,
       copyText,
       openContentModal,
+      openVideoModal,
       isAdminUser,
     });
   }, [
@@ -58,6 +60,7 @@ const TaskLogsTable = (taskLogsData) => {
     COLUMN_KEYS,
     copyText,
     openContentModal,
+    openVideoModal,
     isAdminUser,
   ]);
 

web/src/components/table/task-logs/index.jsx

@@ -37,7 +37,14 @@ const TaskLogsPage = () => {
     <>
       {/* Modals */}
       <ColumnSelectorModal {...taskLogsData} />
-      <ContentModal {...taskLogsData} />
+      <ContentModal {...taskLogsData} isVideo={false} />
+      {/* 新增：视频预览弹窗 */}
+      <ContentModal
+        isModalOpen={taskLogsData.isVideoModalOpen}
+        setIsModalOpen={taskLogsData.setIsVideoModalOpen}
+        modalContent={taskLogsData.videoUrl}
+        isVideo={true}
+      />
 
       <Layout>
         <CardPro

web/src/components/table/task-logs/modals/ContentModal.jsx

@@ -24,6 +24,7 @@ const ContentModal = ({
   isModalOpen,
   setIsModalOpen,
   modalContent,
+  isVideo,
 }) => {
   return (
     <Modal
@@ -34,7 +35,11 @@ const ContentModal = ({
       bodyStyle={{ height: '400px', overflow: 'auto' }}
       width={800}
     >
-      <p style={{ whiteSpace: 'pre-line' }}>{modalContent}</p>
+      {isVideo ? (
+        <video src={modalContent} controls style={{ width: '100%' }} autoPlay />
+      ) : (
+        <p style={{ whiteSpace: 'pre-line' }}>{modalContent}</p>
+      )}
     </Modal>
   );
 };

web/src/components/table/usage-logs/UsageLogsColumnDefs.js

@@ -34,7 +34,6 @@ import {
   getLogOther,
   renderModelTag,
   renderClaudeLogContent,
-  renderClaudeModelPriceSimple,
   renderLogContent,
   renderModelPriceSimple,
   renderAudioModelPrice,
@@ -538,7 +537,7 @@ export const getLogsColumns = ({
           );
         }
         let content = other?.claude
-          ? renderClaudeModelPriceSimple(
+          ? renderModelPriceSimple(
             other.model_ratio,
             other.model_price,
             other.group_ratio,
@@ -547,6 +546,10 @@ export const getLogsColumns = ({
             other.cache_ratio || 1.0,
             other.cache_creation_tokens || 0,
             other.cache_creation_ratio || 1.0,
+            false,
+            1.0,
+            other?.is_system_prompt_overwritten,
+            'claude'
           )
           : renderModelPriceSimple(
             other.model_ratio,
@@ -555,13 +558,19 @@ export const getLogsColumns = ({
             other?.user_group_ratio,
             other.cache_tokens || 0,
             other.cache_ratio || 1.0,
+            0,
+            1.0,
+            false,
+            1.0,
+            other?.is_system_prompt_overwritten,
+            'openai'
           );
         return (
           <Typography.Paragraph
             ellipsis={{
-              rows: 2,
+              rows: 3,
             }}
-            style={{ maxWidth: 240 }}
+            style={{ maxWidth: 240, whiteSpace: 'pre-line' }}
           >
             {content}
           </Typography.Paragraph>

web/src/helpers/api.js

@@ -215,14 +215,16 @@ export async function getOAuthState() {
 export async function onOIDCClicked(auth_url, client_id, openInNewTab = false) {
   const state = await getOAuthState();
   if (!state) return;
-  const redirect_uri = `${window.location.origin}/oauth/oidc`;
+  const url = new URL(auth_url);
-  const response_type = 'code';
+  url.searchParams.set('client_id', client_id);
-  const scope = 'openid profile email';
+  url.searchParams.set('redirect_uri', `${window.location.origin}/oauth/oidc`);
-  const url = `${auth_url}?client_id=${client_id}&redirect_uri=${redirect_uri}&response_type=${response_type}&scope=${scope}&state=${state}`;
+  url.searchParams.set('response_type', 'code');
+  url.searchParams.set('scope', 'openid profile email');
+  url.searchParams.set('state', state);
   if (openInNewTab) {
-    window.open(url);
+    window.open(url.toString(), '_blank');
   } else {
-    window.location.href = url;
+    window.location.href = url.toString();
   }
 }
 

web/src/helpers/render.js

@@ -953,6 +953,71 @@ function getEffectiveRatio(groupRatio, user_group_ratio) {
   };
 }
 
+// Shared core for simple price rendering (used by OpenAI-like and Claude-like variants)
+function renderPriceSimpleCore({
+  modelRatio,
+  modelPrice = -1,
+  groupRatio,
+  user_group_ratio,
+  cacheTokens = 0,
+  cacheRatio = 1.0,
+  cacheCreationTokens = 0,
+  cacheCreationRatio = 1.0,
+  image = false,
+  imageRatio = 1.0,
+  isSystemPromptOverride = false
+}) {
+  const { ratio: effectiveGroupRatio, label: ratioLabel } = getEffectiveRatio(
+    groupRatio,
+    user_group_ratio,
+  );
+  const finalGroupRatio = effectiveGroupRatio;
+
+  if (modelPrice !== -1) {
+    return i18next.t('价格：${{price}} * {{ratioType}}：{{ratio}}', {
+      price: modelPrice,
+      ratioType: ratioLabel,
+      ratio: finalGroupRatio,
+    });
+  }
+
+  const parts = [];
+  // base: model ratio
+  parts.push(i18next.t('模型: {{ratio}}'));
+
+  // cache part (label differs when with image)
+  if (cacheTokens !== 0) {
+    parts.push(i18next.t('缓存: {{cacheRatio}}'));
+  }
+
+  // cache creation part (Claude specific if passed)
+  if (cacheCreationTokens !== 0) {
+    parts.push(i18next.t('缓存创建: {{cacheCreationRatio}}'));
+  }
+
+  // image part
+  if (image) {
+    parts.push(i18next.t('图片输入: {{imageRatio}}'));
+  }
+
+  parts.push(`{{ratioType}}: {{groupRatio}}`);
+
+  let result = i18next.t(parts.join(' * '), {
+    ratio: modelRatio,
+    ratioType: ratioLabel,
+    groupRatio: finalGroupRatio,
+    cacheRatio: cacheRatio,
+    cacheCreationRatio: cacheCreationRatio,
+    imageRatio: imageRatio,
+  })
+
+  if (isSystemPromptOverride) {
+    result += '\n\r' + i18next.t('系统提示覆盖');
+  }
+
+  return result;
+}
+
 export function renderModelPrice(
   inputTokens,
   completionTokens,
@@ -1245,56 +1310,26 @@ export function renderModelPriceSimple(
   user_group_ratio,
   cacheTokens = 0,
   cacheRatio = 1.0,
+  cacheCreationTokens = 0,
+  cacheCreationRatio = 1.0,
   image = false,
   imageRatio = 1.0,
+  isSystemPromptOverride = false,
+  provider = 'openai',
 ) {
-  const { ratio: effectiveGroupRatio, label: ratioLabel } = getEffectiveRatio(groupRatio, user_group_ratio);
+  return renderPriceSimpleCore({
-  groupRatio = effectiveGroupRatio;
+    modelRatio,
-  if (modelPrice !== -1) {
+    modelPrice,
-    return i18next.t('价格：${{price}} * {{ratioType}}：{{ratio}}', {
+    groupRatio,
-      price: modelPrice,
+    user_group_ratio,
-      ratioType: ratioLabel,
+    cacheTokens,
-      ratio: groupRatio,
+    cacheRatio,
-    });
+    cacheCreationTokens,
-  } else {
+    cacheCreationRatio,
-    if (image && cacheTokens !== 0) {
+    image,
-      return i18next.t(
+    imageRatio,
-        '模型: {{ratio}} * {{ratioType}}: {{groupRatio}} * 缓存倍率: {{cacheRatio}} * 图片输入倍率: {{imageRatio}}',
+    isSystemPromptOverride
-        {
+  });
-          ratio: modelRatio,
-          ratioType: ratioLabel,
-          groupRatio: groupRatio,
-          cacheRatio: cacheRatio,
-          imageRatio: imageRatio,
-        },
-      );
-    } else if (image) {
-      return i18next.t(
-        '模型: {{ratio}} * {{ratioType}}: {{groupRatio}} * 图片输入倍率: {{imageRatio}}',
-        {
-          ratio: modelRatio,
-          ratioType: ratioLabel,
-          groupRatio: groupRatio,
-          imageRatio: imageRatio,
-        },
-      );
-    } else if (cacheTokens !== 0) {
-      return i18next.t(
-        '模型: {{ratio}} * 分组: {{groupRatio}} * 缓存: {{cacheRatio}}',
-        {
-          ratio: modelRatio,
-          groupRatio: groupRatio,
-          cacheRatio: cacheRatio,
-        },
-      );
-    } else {
-      return i18next.t('模型: {{ratio}} * {{ratioType}}：{{groupRatio}}', {
-        ratio: modelRatio,
-        ratioType: ratioLabel,
-        groupRatio: groupRatio,
-      });
-    }
-  }
 }
 
 export function renderAudioModelPrice(
@@ -1635,46 +1670,7 @@ export function renderClaudeLogContent(
   }
 }
 
-export function renderClaudeModelPriceSimple(
+// 已统一至 renderModelPriceSimple，若仍有遗留引用，请改为传入 provider='claude'
-  modelRatio,
-  modelPrice = -1,
-  groupRatio,
-  user_group_ratio,
-  cacheTokens = 0,
-  cacheRatio = 1.0,
-  cacheCreationTokens = 0,
-  cacheCreationRatio = 1.0,
-) {
-  const { ratio: effectiveGroupRatio, label: ratioLabel } = getEffectiveRatio(groupRatio, user_group_ratio);
-  groupRatio = effectiveGroupRatio;
-
-  if (modelPrice !== -1) {
-    return i18next.t('价格：${{price}} * {{ratioType}}：{{ratio}}', {
-      price: modelPrice,
-      ratioType: ratioLabel,
-      ratio: groupRatio,
-    });
-  } else {
-    if (cacheTokens !== 0 || cacheCreationTokens !== 0) {
-      return i18next.t(
-        '模型: {{ratio}} * {{ratioType}}: {{groupRatio}} * 缓存: {{cacheRatio}}',
-        {
-          ratio: modelRatio,
-          ratioType: ratioLabel,
-          groupRatio: groupRatio,
-          cacheRatio: cacheRatio,
-          cacheCreationRatio: cacheCreationRatio,
-        },
-      );
-    } else {
-      return i18next.t('模型: {{ratio}} * {{ratioType}}: {{groupRatio}}', {
-        ratio: modelRatio,
-        ratioType: ratioLabel,
-        groupRatio: groupRatio,
-      });
-    }
-  }
-}
 
 /**
  * rehype 插件：将段落等文本节点拆分为逐词 <span>，并添加淡入动画 class。

web/src/hooks/task-logs/useTaskLogsData.js

@@ -65,6 +65,10 @@ export const useTaskLogsData = () => {
   const [isModalOpen, setIsModalOpen] = useState(false);
   const [modalContent, setModalContent] = useState('');
 
+  // 新增：视频预览弹窗状态
+  const [isVideoModalOpen, setIsVideoModalOpen] = useState(false);
+  const [videoUrl, setVideoUrl] = useState('');
+
   // Form state
   const [formApi, setFormApi] = useState(null);
   let now = new Date();
@@ -250,6 +254,12 @@ export const useTaskLogsData = () => {
     setIsModalOpen(true);
   };
 
+  // 新增：打开视频预览弹窗
+  const openVideoModal = (url) => {
+    setVideoUrl(url);
+    setIsVideoModalOpen(true);
+  };
+
   // Initialize data
   useEffect(() => {
     const localPageSize = parseInt(localStorage.getItem('task-page-size')) || ITEMS_PER_PAGE;
@@ -271,6 +281,11 @@ export const useTaskLogsData = () => {
     setIsModalOpen,
     modalContent,
 
+    // 新增：视频弹窗状态
+    isVideoModalOpen,
+    setIsVideoModalOpen,
+    videoUrl,
+
     // Form state
     formApi,
     setFormApi,
@@ -297,6 +312,7 @@ export const useTaskLogsData = () => {
     refresh,
     copyText,
     openContentModal,
+    openVideoModal, // 新增
     enrichLogs,
     syncPageData,
 

web/src/i18n/locales/en.json

@@ -1804,5 +1804,11 @@
   "已选择 {{selected}} / {{total}}": "Selected {{selected}} / {{total}}",
   "新获取的模型": "New models",
   "已有的模型": "Existing models",
-  "搜索模型": "Search models"
+  "搜索模型": "Search models",
+  "缓存: {{cacheRatio}}": "Cache: {{cacheRatio}}",
+  "缓存创建: {{cacheCreationRatio}}": "Cache creation: {{cacheCreationRatio}}",
+  "图片输入: {{imageRatio}}": "Image input: {{imageRatio}}",
+  "系统提示覆盖": "System prompt override",
+  "模型: {{ratio}}": "Model: {{ratio}}",
+  "专属倍率": "Exclusive group ratio"
 }