🎨 优化日志输出
This commit is contained in:
@@ -7,7 +7,7 @@ type ChatCompletionResponse struct {
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Created int64 `json:"created"`
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Model string `json:"model"`
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Choices []ChatCompletionChoice `json:"choices"`
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Usage ChatCompletionUsage `json:"usage"`
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Usage *ChatCompletionUsage `json:"usage,omitempty"`
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// 统一格式的用量统计(用于各种上游的标准化)
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StandardUsage *ChatCompletionUsage `json:"standard_usage,omitempty"`
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// 扩展字段:正则脚本执行日志
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@@ -21,6 +21,13 @@ import (
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// ProcessClaudeMessage 处理 Claude 消息请求
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func (s *AiProxyService) ProcessClaudeMessage(ctx context.Context, req *request.ClaudeMessageRequest) (*response.ClaudeMessageResponse, error) {
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// 记录请求参数
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global.GVA_LOG.Info("收到 Claude Messages 请求",
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zap.String("model", req.Model),
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zap.Any("messages", req.Messages),
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zap.Any("full_request", req),
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)
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// 1. 根据模型获取配置
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if req.Model == "" {
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return nil, fmt.Errorf("model 参数不能为空")
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@@ -32,8 +39,9 @@ func (s *AiProxyService) ProcessClaudeMessage(ctx context.Context, req *request.
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}
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// 2. 注入预设
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var injector *PresetInjector
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if preset != nil {
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injector := NewPresetInjector(preset)
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injector = NewPresetInjector(preset)
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req.Messages = s.convertClaudeMessages(injector.InjectMessages(s.convertToOpenAIMessages(req.Messages)))
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}
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@@ -43,24 +51,74 @@ func (s *AiProxyService) ProcessClaudeMessage(ctx context.Context, req *request.
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return nil, err
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}
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// 4. 处理响应
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if preset != nil && len(resp.Content) > 0 {
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injector := NewPresetInjector(preset)
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// 获取 AI 输出内容
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aiOutput := ""
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if len(resp.Content) > 0 {
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aiOutput = resp.Content[0].Text
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}
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// 4. 处理响应(使用同一个 injector 实例)
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if injector != nil && len(resp.Content) > 0 {
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resp.Content[0].Text = injector.ProcessResponse(resp.Content[0].Text)
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aiOutput = resp.Content[0].Text
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}
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// 5. 统一填充 standard_usage,转换为 OpenAI 风格的用量统计
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resp.StandardUsage = &response.ChatCompletionUsage{
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PromptTokens: resp.Usage.InputTokens,
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CompletionTokens: resp.Usage.OutputTokens,
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TotalTokens: resp.Usage.InputTokens + resp.Usage.OutputTokens,
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if resp.Usage.InputTokens > 0 || resp.Usage.OutputTokens > 0 {
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resp.StandardUsage = &response.ChatCompletionUsage{
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PromptTokens: resp.Usage.InputTokens,
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CompletionTokens: resp.Usage.OutputTokens,
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TotalTokens: resp.Usage.InputTokens + resp.Usage.OutputTokens,
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}
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}
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// 记录响应内容
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logFields := []zap.Field{
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zap.String("ai_output", aiOutput),
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zap.Any("usage", resp.Usage),
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}
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// 添加正则脚本执行日志(使用同一个 injector 实例)
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if injector != nil {
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regexLogs := injector.GetRegexLogs()
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if regexLogs != nil && (regexLogs.TotalMatches > 0 || len(regexLogs.InputScripts) > 0 || len(regexLogs.OutputScripts) > 0) {
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// 收集触发的脚本名称
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triggeredScripts := make([]string, 0)
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for _, scriptLog := range regexLogs.InputScripts {
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if scriptLog.MatchCount > 0 {
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输入:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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for _, scriptLog := range regexLogs.OutputScripts {
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if scriptLog.MatchCount > 0 {
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输出:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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if len(triggeredScripts) > 0 {
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logFields = append(logFields,
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zap.Strings("triggered_regex_scripts", triggeredScripts),
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zap.Int("total_matches", regexLogs.TotalMatches),
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)
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}
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}
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}
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logFields = append(logFields, zap.Any("full_response", resp))
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global.GVA_LOG.Info("Claude Messages 响应", logFields...)
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return resp, nil
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}
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// ProcessClaudeMessageStream 处理 Claude 流式消息请求
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func (s *AiProxyService) ProcessClaudeMessageStream(c *gin.Context, req *request.ClaudeMessageRequest) {
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// 记录请求参数
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global.GVA_LOG.Info("收到 Claude Messages 流式请求",
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zap.String("model", req.Model),
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zap.Any("messages", req.Messages),
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zap.Any("full_request", req),
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)
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// 1. 根据模型获取配置
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if req.Model == "" {
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c.JSON(http.StatusBadRequest, gin.H{"error": "model 参数不能为空"})
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@@ -142,9 +200,22 @@ func (s *AiProxyService) forwardClaudeStreamRequest(c *gin.Context, provider *ap
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}
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defer httpResp.Body.Close()
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if httpResp.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(httpResp.Body)
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global.GVA_LOG.Error("Claude 流式请求上游返回错误",
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zap.Int("status_code", httpResp.StatusCode),
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zap.String("response_body", string(body)),
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)
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return fmt.Errorf("上游返回错误: %d - %s", httpResp.StatusCode, string(body))
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}
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reader := bufio.NewReader(httpResp.Body)
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flusher, _ := c.Writer.(http.Flusher)
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// 聚合完整输出用于日志
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var fullContent bytes.Buffer
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var totalInputTokens, totalOutputTokens int
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for {
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line, err := reader.ReadBytes('\n')
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if err == io.EOF {
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@@ -157,10 +228,21 @@ func (s *AiProxyService) forwardClaudeStreamRequest(c *gin.Context, provider *ap
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if bytes.HasPrefix(line, []byte("data: ")) {
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data := bytes.TrimPrefix(line, []byte("data: "))
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var chunk response.ClaudeStreamResponse
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if json.Unmarshal(data, &chunk) == nil && chunk.Delta != nil {
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if injector != nil {
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chunk.Delta.Text = injector.ProcessResponse(chunk.Delta.Text)
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if json.Unmarshal(data, &chunk) == nil {
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// 收集 usage 信息
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if chunk.Usage != nil {
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totalInputTokens = chunk.Usage.InputTokens
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totalOutputTokens = chunk.Usage.OutputTokens
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}
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// 处理文本内容
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if chunk.Delta != nil && chunk.Delta.Text != "" {
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fullContent.WriteString(chunk.Delta.Text)
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if injector != nil {
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chunk.Delta.Text = injector.ProcessResponse(chunk.Delta.Text)
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}
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}
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processedData, _ := json.Marshal(chunk)
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c.Writer.Write([]byte("data: "))
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c.Writer.Write(processedData)
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@@ -169,6 +251,43 @@ func (s *AiProxyService) forwardClaudeStreamRequest(c *gin.Context, provider *ap
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}
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}
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}
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// 记录完整的流式响应日志
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logFields := []zap.Field{
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zap.String("ai_output", fullContent.String()),
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zap.Int("input_tokens", totalInputTokens),
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zap.Int("output_tokens", totalOutputTokens),
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zap.Int("total_tokens", totalInputTokens+totalOutputTokens),
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}
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// 添加正则脚本执行日志
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if injector != nil {
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regexLogs := injector.GetRegexLogs()
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if regexLogs != nil && (regexLogs.TotalMatches > 0 || len(regexLogs.InputScripts) > 0 || len(regexLogs.OutputScripts) > 0) {
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// 收集触发的脚本名称
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triggeredScripts := make([]string, 0)
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for _, scriptLog := range regexLogs.InputScripts {
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if scriptLog.MatchCount > 0 {
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输入:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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for _, scriptLog := range regexLogs.OutputScripts {
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if scriptLog.MatchCount > 0 {
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输出:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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if len(triggeredScripts) > 0 {
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logFields = append(logFields,
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zap.Strings("triggered_regex_scripts", triggeredScripts),
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zap.Int("total_matches", regexLogs.TotalMatches),
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)
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}
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}
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}
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global.GVA_LOG.Info("Claude Messages 流式响应完成", logFields...)
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return nil
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}
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@@ -23,6 +23,13 @@ type AiProxyService struct{}
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// ProcessChatCompletion 处理聊天补全请求
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func (s *AiProxyService) ProcessChatCompletion(ctx context.Context, req *request.ChatCompletionRequest) (*response.ChatCompletionResponse, error) {
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// 记录请求参数
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global.GVA_LOG.Info("收到 ChatCompletion 请求",
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zap.String("model", req.Model),
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zap.Any("messages", req.Messages),
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zap.Any("full_request", req),
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)
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// 1. 根据模型获取配置
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if req.Model == "" {
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return nil, fmt.Errorf("model 参数不能为空")
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@@ -48,73 +55,87 @@ func (s *AiProxyService) ProcessChatCompletion(ctx context.Context, req *request
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}
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// 4. 处理响应并收集正则日志
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if resp != nil {
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if resp != nil && resp.Usage != nil {
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// 统一填充 standard_usage,方便上游使用统一格式解析
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resp.StandardUsage = &response.ChatCompletionUsage{
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PromptTokens: resp.Usage.PromptTokens,
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CompletionTokens: resp.Usage.CompletionTokens,
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TotalTokens: resp.Usage.TotalTokens,
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if resp.Usage.PromptTokens > 0 || resp.Usage.CompletionTokens > 0 || resp.Usage.TotalTokens > 0 {
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resp.StandardUsage = &response.ChatCompletionUsage{
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PromptTokens: resp.Usage.PromptTokens,
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CompletionTokens: resp.Usage.CompletionTokens,
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TotalTokens: resp.Usage.TotalTokens,
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}
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}
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}
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// 获取 AI 输出内容
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aiOutput := ""
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if len(resp.Choices) > 0 {
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aiOutput = resp.Choices[0].Message.Content
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}
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// 应用预设处理
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if preset != nil && injector != nil && len(resp.Choices) > 0 {
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resp.Choices[0].Message.Content = injector.ProcessResponse(resp.Choices[0].Message.Content)
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aiOutput = resp.Choices[0].Message.Content
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// 添加正则执行日志到响应
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regexLogs := injector.GetRegexLogs()
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if regexLogs.TotalMatches > 0 || len(regexLogs.InputScripts) > 0 || len(regexLogs.OutputScripts) > 0 {
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resp.RegexLogs = regexLogs
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}
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}
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// 记录匹配到正则时的脚本名称
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if regexLogs.TotalMatches > 0 {
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matchedScripts := make([]string, 0)
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// 记录响应内容(统一日志输出)
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logFields := []zap.Field{
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zap.String("ai_output", aiOutput),
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}
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if resp.Usage != nil {
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logFields = append(logFields, zap.Any("usage", resp.Usage))
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}
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if resp.StandardUsage != nil {
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logFields = append(logFields, zap.Any("standard_usage", resp.StandardUsage))
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}
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// 添加正则脚本执行日志
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if injector != nil {
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regexLogs := injector.GetRegexLogs()
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if regexLogs != nil && (regexLogs.TotalMatches > 0 || len(regexLogs.InputScripts) > 0 || len(regexLogs.OutputScripts) > 0) {
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// 收集触发的脚本名称
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triggeredScripts := make([]string, 0)
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for _, scriptLog := range regexLogs.InputScripts {
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if scriptLog.MatchCount > 0 {
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matchedScripts = append(matchedScripts, scriptLog.ScriptName)
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输入:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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for _, scriptLog := range regexLogs.OutputScripts {
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if scriptLog.MatchCount > 0 {
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matchedScripts = append(matchedScripts, scriptLog.ScriptName)
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输出:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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// 记录接口调用参数和 AI 输出内容
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aiOutput := resp.Choices[0].Message.Content
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global.GVA_LOG.Info("AI 请求完成",
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zap.Any("request", req),
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zap.String("ai_output", aiOutput),
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zap.Strings("matched_regex_scripts", matchedScripts),
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)
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} else {
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// 未匹配到正则时仅记录请求和输出
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aiOutput := resp.Choices[0].Message.Content
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global.GVA_LOG.Info("AI 请求完成(无正则匹配)",
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zap.Any("request", req),
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zap.String("ai_output", aiOutput),
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)
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}
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} else {
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// 无预设或无注入器时也记录基础请求与输出
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if len(resp.Choices) > 0 {
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aiOutput := resp.Choices[0].Message.Content
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global.GVA_LOG.Info("AI 请求完成(无预设/注入器)",
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zap.Any("request", req),
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zap.String("ai_output", aiOutput),
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)
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} else {
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global.GVA_LOG.Info("AI 请求完成(无输出)",
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zap.Any("request", req),
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)
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if len(triggeredScripts) > 0 {
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logFields = append(logFields,
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zap.Strings("triggered_regex_scripts", triggeredScripts),
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zap.Int("total_matches", regexLogs.TotalMatches),
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)
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}
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}
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}
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logFields = append(logFields, zap.Any("full_response", resp))
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global.GVA_LOG.Info("ChatCompletion 响应", logFields...)
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return resp, nil
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}
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// ProcessChatCompletionStream 处理流式聊天补全请求
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func (s *AiProxyService) ProcessChatCompletionStream(c *gin.Context, req *request.ChatCompletionRequest) {
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// 记录请求参数
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global.GVA_LOG.Info("收到 ChatCompletion 流式请求",
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zap.String("model", req.Model),
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zap.Any("messages", req.Messages),
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zap.Any("full_request", req),
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)
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// 1. 根据模型获取配置
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if req.Model == "" {
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c.JSON(http.StatusBadRequest, gin.H{"error": "model 参数不能为空"})
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@@ -304,39 +325,38 @@ func (s *AiProxyService) forwardStreamRequest(c *gin.Context, provider *app.AiPr
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}
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// 流式请求结束后记录日志
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logFields := []zap.Field{
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zap.String("ai_output", fullContent.String()),
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}
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// 添加正则脚本执行日志
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if injector != nil {
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regexLogs := injector.GetRegexLogs()
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if regexLogs != nil && (regexLogs.TotalMatches > 0 || len(regexLogs.InputScripts) > 0 || len(regexLogs.OutputScripts) > 0) {
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matchedScripts := make([]string, 0)
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// 收集触发的脚本名称
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triggeredScripts := make([]string, 0)
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for _, scriptLog := range regexLogs.InputScripts {
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if scriptLog.MatchCount > 0 {
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matchedScripts = append(matchedScripts, scriptLog.ScriptName)
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输入:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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for _, scriptLog := range regexLogs.OutputScripts {
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if scriptLog.MatchCount > 0 {
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matchedScripts = append(matchedScripts, scriptLog.ScriptName)
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triggeredScripts = append(triggeredScripts, fmt.Sprintf("%s(输出:%d次)", scriptLog.ScriptName, scriptLog.MatchCount))
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}
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}
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global.GVA_LOG.Info("AI 流式请求完成",
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zap.Any("request", req),
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zap.String("ai_output", fullContent.String()),
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zap.Strings("matched_regex_scripts", matchedScripts),
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)
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} else {
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global.GVA_LOG.Info("AI 流式请求完成(无正则匹配)",
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zap.Any("request", req),
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zap.String("ai_output", fullContent.String()),
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)
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if len(triggeredScripts) > 0 {
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logFields = append(logFields,
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zap.Strings("triggered_regex_scripts", triggeredScripts),
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zap.Int("total_matches", regexLogs.TotalMatches),
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)
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}
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}
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} else {
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global.GVA_LOG.Info("AI 流式请求完成(无预设/注入器)",
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zap.Any("request", req),
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)
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}
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global.GVA_LOG.Info("ChatCompletion 流式响应完成", logFields...)
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return nil
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}
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Reference in New Issue
Block a user