refactor: use adaptor to do relay & test

relay/channel/palm/adaptor.go

@@ -0,0 +1,56 @@
+package palm
+
+import (
+	"errors"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"github.com/songquanpeng/one-api/relay/channel"
+	"github.com/songquanpeng/one-api/relay/channel/openai"
+	"github.com/songquanpeng/one-api/relay/model"
+	"github.com/songquanpeng/one-api/relay/util"
+	"io"
+	"net/http"
+)
+
+type Adaptor struct {
+}
+
+func (a *Adaptor) GetRequestURL(meta *util.RelayMeta) (string, error) {
+	return fmt.Sprintf("%s/v1beta2/models/chat-bison-001:generateMessage", meta.BaseURL), nil
+}
+
+func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *util.RelayMeta) error {
+	channel.SetupCommonRequestHeader(c, req, meta)
+	req.Header.Set("x-goog-api-key", meta.APIKey)
+	return nil
+}
+
+func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
+	if request == nil {
+		return nil, errors.New("request is nil")
+	}
+	return ConvertRequest(*request), nil
+}
+
+func (a *Adaptor) DoRequest(c *gin.Context, meta *util.RelayMeta, requestBody io.Reader) (*http.Response, error) {
+	return channel.DoRequestHelper(a, c, meta, requestBody)
+}
+
+func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *util.RelayMeta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
+	if meta.IsStream {
+		var responseText string
+		err, responseText = StreamHandler(c, resp)
+		usage = openai.ResponseText2Usage(responseText, meta.ActualModelName, meta.PromptTokens)
+	} else {
+		err, usage = Handler(c, resp, meta.PromptTokens, meta.ActualModelName)
+	}
+	return
+}
+
+func (a *Adaptor) GetModelList() []string {
+	return ModelList
+}
+
+func (a *Adaptor) GetChannelName() string {
+	return "google palm"
+}

relay/channel/palm/constants.go

@@ -0,0 +1,5 @@
+package palm
+
+var ModelList = []string{
+	"PaLM-2",
+}

relay/channel/palm/model.go

@@ -0,0 +1,40 @@
+package palm
+
+import (
+	"github.com/songquanpeng/one-api/relay/model"
+)
+
+type ChatMessage struct {
+	Author  string `json:"author"`
+	Content string `json:"content"`
+}
+
+type Filter struct {
+	Reason  string `json:"reason"`
+	Message string `json:"message"`
+}
+
+type Prompt struct {
+	Messages []ChatMessage `json:"messages"`
+}
+
+type ChatRequest struct {
+	Prompt         Prompt  `json:"prompt"`
+	Temperature    float64 `json:"temperature,omitempty"`
+	CandidateCount int     `json:"candidateCount,omitempty"`
+	TopP           float64 `json:"topP,omitempty"`
+	TopK           int     `json:"topK,omitempty"`
+}
+
+type Error struct {
+	Code    int    `json:"code"`
+	Message string `json:"message"`
+	Status  string `json:"status"`
+}
+
+type ChatResponse struct {
+	Candidates []ChatMessage   `json:"candidates"`
+	Messages   []model.Message `json:"messages"`
+	Filters    []Filter        `json:"filters"`
+	Error      Error           `json:"error"`
+}

relay/channel/palm/palm.go

@@ -0,0 +1,176 @@
+package palm
+
+import (
+	"encoding/json"
+	"fmt"
+	"github.com/gin-gonic/gin"
+	"github.com/songquanpeng/one-api/common"
+	"github.com/songquanpeng/one-api/common/helper"
+	"github.com/songquanpeng/one-api/common/logger"
+	"github.com/songquanpeng/one-api/relay/channel/openai"
+	"github.com/songquanpeng/one-api/relay/constant"
+	"github.com/songquanpeng/one-api/relay/model"
+	"io"
+	"net/http"
+)
+
+// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
+// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
+
+func ConvertRequest(textRequest model.GeneralOpenAIRequest) *ChatRequest {
+	palmRequest := ChatRequest{
+		Prompt: Prompt{
+			Messages: make([]ChatMessage, 0, len(textRequest.Messages)),
+		},
+		Temperature:    textRequest.Temperature,
+		CandidateCount: textRequest.N,
+		TopP:           textRequest.TopP,
+		TopK:           textRequest.MaxTokens,
+	}
+	for _, message := range textRequest.Messages {
+		palmMessage := ChatMessage{
+			Content: message.StringContent(),
+		}
+		if message.Role == "user" {
+			palmMessage.Author = "0"
+		} else {
+			palmMessage.Author = "1"
+		}
+		palmRequest.Prompt.Messages = append(palmRequest.Prompt.Messages, palmMessage)
+	}
+	return &palmRequest
+}
+
+func responsePaLM2OpenAI(response *ChatResponse) *openai.TextResponse {
+	fullTextResponse := openai.TextResponse{
+		Choices: make([]openai.TextResponseChoice, 0, len(response.Candidates)),
+	}
+	for i, candidate := range response.Candidates {
+		choice := openai.TextResponseChoice{
+			Index: i,
+			Message: model.Message{
+				Role:    "assistant",
+				Content: candidate.Content,
+			},
+			FinishReason: "stop",
+		}
+		fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
+	}
+	return &fullTextResponse
+}
+
+func streamResponsePaLM2OpenAI(palmResponse *ChatResponse) *openai.ChatCompletionsStreamResponse {
+	var choice openai.ChatCompletionsStreamResponseChoice
+	if len(palmResponse.Candidates) > 0 {
+		choice.Delta.Content = palmResponse.Candidates[0].Content
+	}
+	choice.FinishReason = &constant.StopFinishReason
+	var response openai.ChatCompletionsStreamResponse
+	response.Object = "chat.completion.chunk"
+	response.Model = "palm2"
+	response.Choices = []openai.ChatCompletionsStreamResponseChoice{choice}
+	return &response
+}
+
+func StreamHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStatusCode, string) {
+	responseText := ""
+	responseId := fmt.Sprintf("chatcmpl-%s", helper.GetUUID())
+	createdTime := helper.GetTimestamp()
+	dataChan := make(chan string)
+	stopChan := make(chan bool)
+	go func() {
+		responseBody, err := io.ReadAll(resp.Body)
+		if err != nil {
+			logger.SysError("error reading stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		err = resp.Body.Close()
+		if err != nil {
+			logger.SysError("error closing stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		var palmResponse ChatResponse
+		err = json.Unmarshal(responseBody, &palmResponse)
+		if err != nil {
+			logger.SysError("error unmarshalling stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse)
+		fullTextResponse.Id = responseId
+		fullTextResponse.Created = createdTime
+		if len(palmResponse.Candidates) > 0 {
+			responseText = palmResponse.Candidates[0].Content
+		}
+		jsonResponse, err := json.Marshal(fullTextResponse)
+		if err != nil {
+			logger.SysError("error marshalling stream response: " + err.Error())
+			stopChan <- true
+			return
+		}
+		dataChan <- string(jsonResponse)
+		stopChan <- true
+	}()
+	common.SetEventStreamHeaders(c)
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case data := <-dataChan:
+			c.Render(-1, common.CustomEvent{Data: "data: " + data})
+			return true
+		case <-stopChan:
+			c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
+			return false
+		}
+	})
+	err := resp.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
+	}
+	return nil, responseText
+}
+
+func Handler(c *gin.Context, resp *http.Response, promptTokens int, modelName string) (*model.ErrorWithStatusCode, *model.Usage) {
+	responseBody, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
+	}
+	err = resp.Body.Close()
+	if err != nil {
+		return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
+	}
+	var palmResponse ChatResponse
+	err = json.Unmarshal(responseBody, &palmResponse)
+	if err != nil {
+		return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
+	}
+	if palmResponse.Error.Code != 0 || len(palmResponse.Candidates) == 0 {
+		return &model.ErrorWithStatusCode{
+			Error: model.Error{
+				Message: palmResponse.Error.Message,
+				Type:    palmResponse.Error.Status,
+				Param:   "",
+				Code:    palmResponse.Error.Code,
+			},
+			StatusCode: resp.StatusCode,
+		}, nil
+	}
+	fullTextResponse := responsePaLM2OpenAI(&palmResponse)
+	fullTextResponse.Model = modelName
+	completionTokens := openai.CountTokenText(palmResponse.Candidates[0].Content, modelName)
+	usage := model.Usage{
+		PromptTokens:     promptTokens,
+		CompletionTokens: completionTokens,
+		TotalTokens:      promptTokens + completionTokens,
+	}
+	fullTextResponse.Usage = usage
+	jsonResponse, err := json.Marshal(fullTextResponse)
+	if err != nil {
+		return openai.ErrorWrapper(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
+}