package gemini import ( "bufio" "encoding/json" "fmt" "io" "log" "net/http" "one-api/common" "one-api/constant" "one-api/dto" relaycommon "one-api/relay/common" "one-api/service" "strings" "time" "github.com/gin-gonic/gin" ) // Setting safety to the lowest possible values since Gemini is already powerless enough func CovertGemini2OpenAI(textRequest dto.GeneralOpenAIRequest) *GeminiChatRequest { geminiRequest := GeminiChatRequest{ Contents: make([]GeminiChatContent, 0, len(textRequest.Messages)), SafetySettings: []GeminiChatSafetySettings{ { Category: "HARM_CATEGORY_HARASSMENT", Threshold: common.GeminiSafetySetting, }, { Category: "HARM_CATEGORY_HATE_SPEECH", Threshold: common.GeminiSafetySetting, }, { Category: "HARM_CATEGORY_SEXUALLY_EXPLICIT", Threshold: common.GeminiSafetySetting, }, { Category: "HARM_CATEGORY_DANGEROUS_CONTENT", Threshold: common.GeminiSafetySetting, }, }, GenerationConfig: GeminiChatGenerationConfig{ Temperature: textRequest.Temperature, TopP: textRequest.TopP, MaxOutputTokens: textRequest.MaxTokens, }, } if textRequest.Functions != nil { geminiRequest.Tools = []GeminiChatTools{ { FunctionDeclarations: textRequest.Functions, }, } } shouldAddDummyModelMessage := false for _, message := range textRequest.Messages { content := GeminiChatContent{ Role: message.Role, Parts: []GeminiPart{ { Text: message.StringContent(), }, }, } openaiContent := message.ParseContent() var parts []GeminiPart imageNum := 0 for _, part := range openaiContent { if part.Type == dto.ContentTypeText { parts = append(parts, GeminiPart{ Text: part.Text, }) } else if part.Type == dto.ContentTypeImageURL { imageNum += 1 if imageNum > GeminiVisionMaxImageNum { continue } mimeType, data, _ := service.GetImageFromUrl(part.ImageUrl.(dto.MessageImageUrl).Url) parts = append(parts, GeminiPart{ InlineData: &GeminiInlineData{ MimeType: mimeType, Data: data, }, }) } } content.Parts = parts // there's no assistant role in gemini and API shall vomit if Role is not user or model if content.Role == "assistant" { content.Role = "model" } // Converting system prompt to prompt from user for the same reason if content.Role == "system" { content.Role = "user" shouldAddDummyModelMessage = true } geminiRequest.Contents = append(geminiRequest.Contents, content) // If a system message is the last message, we need to add a dummy model message to make gemini happy if shouldAddDummyModelMessage { geminiRequest.Contents = append(geminiRequest.Contents, GeminiChatContent{ Role: "model", Parts: []GeminiPart{ { Text: "Okay", }, }, }) shouldAddDummyModelMessage = false } } return &geminiRequest } func (g *GeminiChatResponse) GetResponseText() string { if g == nil { return "" } if len(g.Candidates) > 0 && len(g.Candidates[0].Content.Parts) > 0 { return g.Candidates[0].Content.Parts[0].Text } return "" } func responseGeminiChat2OpenAI(response *GeminiChatResponse) *dto.OpenAITextResponse { fullTextResponse := dto.OpenAITextResponse{ Id: fmt.Sprintf("chatcmpl-%s", common.GetUUID()), Object: "chat.completion", Created: common.GetTimestamp(), Choices: make([]dto.OpenAITextResponseChoice, 0, len(response.Candidates)), } content, _ := json.Marshal("") for i, candidate := range response.Candidates { choice := dto.OpenAITextResponseChoice{ Index: i, Message: dto.Message{ Role: "assistant", Content: content, }, FinishReason: relaycommon.StopFinishReason, } if len(candidate.Content.Parts) > 0 { content, _ = json.Marshal(candidate.Content.Parts[0].Text) choice.Message.Content = content } fullTextResponse.Choices = append(fullTextResponse.Choices, choice) } return &fullTextResponse } func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) *dto.ChatCompletionsStreamResponse { var choice dto.ChatCompletionsStreamResponseChoice choice.Delta.SetContentString(geminiResponse.GetResponseText()) choice.FinishReason = &relaycommon.StopFinishReason var response dto.ChatCompletionsStreamResponse response.Object = "chat.completion.chunk" response.Model = "gemini" response.Choices = []dto.ChatCompletionsStreamResponseChoice{choice} return &response } func geminiChatStreamHandler(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) { responseText := "" responseJson := "" id := fmt.Sprintf("chatcmpl-%s", common.GetUUID()) createAt := common.GetTimestamp() var usage = &dto.Usage{} dataChan := make(chan string, 5) stopChan := make(chan bool, 2) scanner := bufio.NewScanner(resp.Body) scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) { if atEOF && len(data) == 0 { return 0, nil, nil } if i := strings.Index(string(data), "\n"); i >= 0 { return i + 1, data[0:i], nil } if atEOF { return len(data), data, nil } return 0, nil, nil }) go func() { for scanner.Scan() { data := scanner.Text() responseJson += data data = strings.TrimSpace(data) if !strings.HasPrefix(data, "\"text\": \"") { continue } data = strings.TrimPrefix(data, "\"text\": \"") data = strings.TrimSuffix(data, "\"") if !common.SafeSendStringTimeout(dataChan, data, constant.StreamingTimeout) { // send data timeout, stop the stream common.LogError(c, "send data timeout, stop the stream") break } } stopChan <- true }() isFirst := true service.SetEventStreamHeaders(c) c.Stream(func(w io.Writer) bool { select { case data := <-dataChan: if isFirst { isFirst = false info.FirstResponseTime = time.Now() } // this is used to prevent annoying \ related format bug data = fmt.Sprintf("{\"content\": \"%s\"}", data) type dummyStruct struct { Content string `json:"content"` } var dummy dummyStruct err := json.Unmarshal([]byte(data), &dummy) responseText += dummy.Content var choice dto.ChatCompletionsStreamResponseChoice choice.Delta.SetContentString(dummy.Content) response := dto.ChatCompletionsStreamResponse{ Id: id, Object: "chat.completion.chunk", Created: createAt, Model: info.UpstreamModelName, Choices: []dto.ChatCompletionsStreamResponseChoice{choice}, } jsonResponse, err := json.Marshal(response) if err != nil { common.SysError("error marshalling stream response: " + err.Error()) return true } c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)}) return true case <-stopChan: return false } }) var geminiChatResponses []GeminiChatResponse err := json.Unmarshal([]byte(responseJson), &geminiChatResponses) if err != nil { log.Printf("cannot get gemini usage: %s", err.Error()) usage, _ = service.ResponseText2Usage(responseText, info.UpstreamModelName, info.PromptTokens) } else { for _, response := range geminiChatResponses { usage.PromptTokens = response.UsageMetadata.PromptTokenCount usage.CompletionTokens = response.UsageMetadata.CandidatesTokenCount } usage.TotalTokens = usage.PromptTokens + usage.CompletionTokens } if info.ShouldIncludeUsage { response := service.GenerateFinalUsageResponse(id, createAt, info.UpstreamModelName, *usage) err := service.ObjectData(c, response) if err != nil { common.SysError("send final response failed: " + err.Error()) } } service.Done(c) err = resp.Body.Close() if err != nil { return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), usage } return nil, usage } func geminiChatHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*dto.OpenAIErrorWithStatusCode, *dto.Usage) { responseBody, err := io.ReadAll(resp.Body) if err != nil { return service.OpenAIErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil } err = resp.Body.Close() if err != nil { return service.OpenAIErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil } var geminiResponse GeminiChatResponse err = json.Unmarshal(responseBody, &geminiResponse) if err != nil { return service.OpenAIErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil } if len(geminiResponse.Candidates) == 0 { return &dto.OpenAIErrorWithStatusCode{ Error: dto.OpenAIError{ Message: "No candidates returned", Type: "server_error", Param: "", Code: 500, }, StatusCode: resp.StatusCode, }, nil } fullTextResponse := responseGeminiChat2OpenAI(&geminiResponse) usage := dto.Usage{ PromptTokens: geminiResponse.UsageMetadata.PromptTokenCount, CompletionTokens: geminiResponse.UsageMetadata.CandidatesTokenCount, TotalTokens: geminiResponse.UsageMetadata.TotalTokenCount, } fullTextResponse.Usage = usage jsonResponse, err := json.Marshal(fullTextResponse) if err != nil { return service.OpenAIErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil } c.Writer.Header().Set("Content-Type", "application/json") c.Writer.WriteHeader(resp.StatusCode) _, err = c.Writer.Write(jsonResponse) return nil, &usage }