one-api/relay/adaptor/vertexai/gemini/adapter.go
2025-05-15 16:14:19 +08:00

93 lines
2.7 KiB
Go

package vertexai
import (
"net/http"
"net/url"
"strconv"
"strings"
"github.com/gin-gonic/gin"
"github.com/pkg/errors"
"github.com/songquanpeng/one-api/common/ctxkey"
"github.com/songquanpeng/one-api/relay/adaptor/gemini"
"github.com/songquanpeng/one-api/relay/adaptor/openai"
"github.com/songquanpeng/one-api/relay/relaymode"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
)
var ModelList = []string{
"gemini-pro", "gemini-pro-vision",
"gemini-exp-1206",
"gemini-1.5-pro-001", "gemini-1.5-pro-002",
"gemini-1.5-flash-001", "gemini-1.5-flash-002",
"gemini-2.0-flash-exp", "gemini-2.0-flash-001",
"gemini-2.0-flash-lite-preview-02-05",
"gemini-2.0-flash-thinking-exp-01-21",
}
type Adaptor struct {
}
func (a *Adaptor) parseGeminiChatGenerationThinking(model string) (string, *gemini.ThinkingConfig) {
thinkingConfig := &gemini.ThinkingConfig{
IncludeThoughts: false,
ThinkingBudget: 0,
}
modelName := model
if strings.Contains(model, "?") {
parts := strings.Split(model, "?")
_modelName := parts[0]
if len(parts) >= 2 {
modelOptions, err := url.ParseQuery(parts[1])
if err == nil && modelOptions != nil {
modelName = _modelName
hasThinkingFlag := modelOptions.Has("thinking")
if hasThinkingFlag {
thinkingConfig.IncludeThoughts = modelOptions.Get("thinking") == "1"
}
thinkingBudget := modelOptions.Get("thinking_budget")
if thinkingBudget != "" {
thinkingBudgetInt, err := strconv.Atoi(thinkingBudget)
if err == nil {
thinkingConfig.ThinkingBudget = thinkingBudgetInt
}
}
}
}
}
return modelName, thinkingConfig
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}
modelName, thinkingConfig := a.parseGeminiChatGenerationThinking(request.Model)
request.Model = modelName
geminiRequest := gemini.ConvertRequest(*request)
if thinkingConfig != nil {
geminiRequest.GenerationConfig.ThinkingConfig = thinkingConfig
}
c.Set(ctxkey.RequestModel, modelName)
c.Set(ctxkey.ConvertedRequest, geminiRequest)
return geminiRequest, nil
}
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
var responseText string
err, responseText = gemini.StreamHandler(c, resp)
usage = openai.ResponseText2Usage(responseText, meta.ActualModelName, meta.PromptTokens)
} else {
switch meta.Mode {
case relaymode.Embeddings:
err, usage = gemini.EmbeddingHandler(c, resp)
default:
err, usage = gemini.Handler(c, resp, meta.PromptTokens, meta.ActualModelName)
}
}
return
}