250 lines
7.4 KiB
Go
250 lines
7.4 KiB
Go
package gemini
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import (
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"errors"
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"fmt"
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"io"
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"net/http"
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"one-api/dto"
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"one-api/relay/channel"
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"one-api/relay/channel/openai"
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relaycommon "one-api/relay/common"
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"one-api/relay/constant"
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"one-api/setting/model_setting"
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"one-api/types"
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"strings"
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"github.com/gin-gonic/gin"
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)
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type Adaptor struct {
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}
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func (a *Adaptor) ConvertGeminiRequest(c *gin.Context, info *relaycommon.RelayInfo, request *dto.GeminiChatRequest) (any, error) {
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if len(request.Contents) > 0 {
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for i, content := range request.Contents {
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if i == 0 {
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if request.Contents[0].Role == "" {
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request.Contents[0].Role = "user"
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}
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}
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for _, part := range content.Parts {
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if part.FileData != nil {
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if part.FileData.MimeType == "" && strings.Contains(part.FileData.FileUri, "www.youtube.com") {
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part.FileData.MimeType = "video/webm"
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}
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}
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}
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}
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}
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return request, nil
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}
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func (a *Adaptor) ConvertClaudeRequest(c *gin.Context, info *relaycommon.RelayInfo, req *dto.ClaudeRequest) (any, error) {
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adaptor := openai.Adaptor{}
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oaiReq, err := adaptor.ConvertClaudeRequest(c, info, req)
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if err != nil {
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return nil, err
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}
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return a.ConvertOpenAIRequest(c, info, oaiReq.(*dto.GeneralOpenAIRequest))
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}
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func (a *Adaptor) ConvertAudioRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.AudioRequest) (io.Reader, error) {
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//TODO implement me
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return nil, errors.New("not implemented")
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}
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func (a *Adaptor) ConvertImageRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.ImageRequest) (any, error) {
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if !strings.HasPrefix(info.UpstreamModelName, "imagen") {
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return nil, errors.New("not supported model for image generation")
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}
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// convert size to aspect ratio
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aspectRatio := "1:1" // default aspect ratio
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switch request.Size {
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case "1024x1024":
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aspectRatio = "1:1"
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case "1024x1792":
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aspectRatio = "9:16"
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case "1792x1024":
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aspectRatio = "16:9"
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}
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// build gemini imagen request
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geminiRequest := dto.GeminiImageRequest{
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Instances: []dto.GeminiImageInstance{
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{
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Prompt: request.Prompt,
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},
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},
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Parameters: dto.GeminiImageParameters{
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SampleCount: request.N,
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AspectRatio: aspectRatio,
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PersonGeneration: "allow_adult", // default allow adult
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},
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}
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return geminiRequest, nil
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}
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func (a *Adaptor) Init(info *relaycommon.RelayInfo) {
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}
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func (a *Adaptor) GetRequestURL(info *relaycommon.RelayInfo) (string, error) {
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if model_setting.GetGeminiSettings().ThinkingAdapterEnabled {
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// 新增逻辑：处理 -thinking-<budget> 格式
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if strings.Contains(info.UpstreamModelName, "-thinking-") {
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parts := strings.Split(info.UpstreamModelName, "-thinking-")
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info.UpstreamModelName = parts[0]
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} else if strings.HasSuffix(info.UpstreamModelName, "-thinking") { // 旧的适配
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info.UpstreamModelName = strings.TrimSuffix(info.UpstreamModelName, "-thinking")
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} else if strings.HasSuffix(info.UpstreamModelName, "-nothinking") {
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info.UpstreamModelName = strings.TrimSuffix(info.UpstreamModelName, "-nothinking")
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}
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}
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version := model_setting.GetGeminiVersionSetting(info.UpstreamModelName)
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if strings.HasPrefix(info.UpstreamModelName, "imagen") {
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return fmt.Sprintf("%s/%s/models/%s:predict", info.BaseUrl, version, info.UpstreamModelName), nil
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}
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if strings.HasPrefix(info.UpstreamModelName, "text-embedding") ||
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strings.HasPrefix(info.UpstreamModelName, "embedding") ||
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strings.HasPrefix(info.UpstreamModelName, "gemini-embedding") {
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action := "embedContent"
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if info.IsGeminiBatchEmbdding {
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action = "batchEmbedContents"
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}
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return fmt.Sprintf("%s/%s/models/%s:%s", info.BaseUrl, version, info.UpstreamModelName, action), nil
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}
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action := "generateContent"
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if info.IsStream {
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action = "streamGenerateContent?alt=sse"
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if info.RelayMode == constant.RelayModeGemini {
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info.DisablePing = true
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}
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}
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return fmt.Sprintf("%s/%s/models/%s:%s", info.BaseUrl, version, info.UpstreamModelName, action), nil
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}
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func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Header, info *relaycommon.RelayInfo) error {
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channel.SetupApiRequestHeader(info, c, req)
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req.Set("x-goog-api-key", info.ApiKey)
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return nil
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}
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func (a *Adaptor) ConvertOpenAIRequest(c *gin.Context, info *relaycommon.RelayInfo, request *dto.GeneralOpenAIRequest) (any, error) {
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if request == nil {
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return nil, errors.New("request is nil")
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}
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geminiRequest, err := CovertGemini2OpenAI(*request, info)
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if err != nil {
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return nil, err
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}
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return geminiRequest, nil
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}
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func (a *Adaptor) ConvertRerankRequest(c *gin.Context, relayMode int, request dto.RerankRequest) (any, error) {
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return nil, nil
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}
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func (a *Adaptor) ConvertEmbeddingRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.EmbeddingRequest) (any, error) {
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if request.Input == nil {
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return nil, errors.New("input is required")
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}
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inputs := request.ParseInput()
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if len(inputs) == 0 {
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return nil, errors.New("input is empty")
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}
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// only process the first input
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geminiRequest := dto.GeminiEmbeddingRequest{
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Content: dto.GeminiChatContent{
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Parts: []dto.GeminiPart{
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{
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Text: inputs[0],
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},
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},
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},
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}
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// set specific parameters for different models
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// https://ai.google.dev/api/embeddings?hl=zh-cn#method:-models.embedcontent
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switch info.UpstreamModelName {
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case "text-embedding-004":
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// except embedding-001 supports setting `OutputDimensionality`
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if request.Dimensions > 0 {
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geminiRequest.OutputDimensionality = request.Dimensions
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}
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}
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return geminiRequest, nil
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}
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func (a *Adaptor) ConvertOpenAIResponsesRequest(c *gin.Context, info *relaycommon.RelayInfo, request dto.OpenAIResponsesRequest) (any, error) {
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// TODO implement me
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return nil, errors.New("not implemented")
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}
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func (a *Adaptor) DoRequest(c *gin.Context, info *relaycommon.RelayInfo, requestBody io.Reader) (any, error) {
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return channel.DoApiRequest(a, c, info, requestBody)
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}
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func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, info *relaycommon.RelayInfo) (usage any, err *types.NewAPIError) {
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if info.RelayMode == constant.RelayModeGemini {
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if strings.Contains(info.RequestURLPath, "embed") {
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return NativeGeminiEmbeddingHandler(c, resp, info)
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}
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if info.IsStream {
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return GeminiTextGenerationStreamHandler(c, info, resp)
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} else {
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return GeminiTextGenerationHandler(c, info, resp)
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}
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}
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if strings.HasPrefix(info.UpstreamModelName, "imagen") {
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return GeminiImageHandler(c, info, resp)
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}
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// check if the model is an embedding model
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if strings.HasPrefix(info.UpstreamModelName, "text-embedding") ||
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strings.HasPrefix(info.UpstreamModelName, "embedding") ||
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strings.HasPrefix(info.UpstreamModelName, "gemini-embedding") {
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return GeminiEmbeddingHandler(c, info, resp)
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}
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if info.IsStream {
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return GeminiChatStreamHandler(c, info, resp)
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} else {
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return GeminiChatHandler(c, info, resp)
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}
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//if usage.(*dto.Usage).CompletionTokenDetails.ReasoningTokens > 100 {
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// // 没有请求-thinking的情况下，产生思考token，则按照思考模型计费
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// if !strings.HasSuffix(info.OriginModelName, "-thinking") &&
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// !strings.HasSuffix(info.OriginModelName, "-nothinking") {
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// thinkingModelName := info.OriginModelName + "-thinking"
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// if operation_setting.SelfUseModeEnabled || helper.ContainPriceOrRatio(thinkingModelName) {
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// info.OriginModelName = thinkingModelName
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// }
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// }
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//}
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return nil, types.NewError(errors.New("not implemented"), types.ErrorCodeBadResponseBody)
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}
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func (a *Adaptor) GetModelList() []string {
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return ModelList
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}
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func (a *Adaptor) GetChannelName() string {
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return ChannelName
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}
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