feat: support Google PaLM2 (close #105)
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@ -62,6 +62,7 @@ _✨ All in one 的 OpenAI 接口,整合各种 API 访问方式,开箱即用
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+ [x] OpenAI 官方通道(支持配置镜像)
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+ [x] **Azure OpenAI API**
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+ [x] [Anthropic Claude 系列模型](https://anthropic.com)
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+ [x] [Google PaLM2 系列模型](https://developers.generativeai.google)
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+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
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+ [x] [API Distribute](https://api.gptjk.top/register?aff=QGxj)
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+ [x] [OpenAI-SB](https://openai-sb.com)
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@ -41,6 +41,7 @@ var ModelRatio = map[string]float64{
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"claude-2": 30,
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"ERNIE-Bot": 1, // 0.012元/千tokens
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"ERNIE-Bot-turbo": 0.67, // 0.008元/千tokens
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"PaLM-2": 1,
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}
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func ModelRatio2JSONString() string {
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@ -306,6 +306,15 @@ func init() {
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Root: "ERNIE-Bot-turbo",
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Parent: nil,
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},
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{
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Id: "PaLM-2",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "google",
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Permission: permission,
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Root: "PaLM-2",
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Parent: nil,
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},
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}
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openAIModelsMap = make(map[string]OpenAIModels)
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for _, model := range openAIModels {
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@ -1,10 +1,17 @@
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package controller
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import (
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"encoding/json"
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"fmt"
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"github.com/gin-gonic/gin"
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"io"
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"net/http"
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"one-api/common"
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)
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
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type PaLMChatMessage struct {
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Author string `json:"author"`
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Content string `json:"content"`
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@ -15,45 +22,185 @@ type PaLMFilter struct {
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Message string `json:"message"`
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}
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body
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type PaLMPrompt struct {
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Messages []PaLMChatMessage `json:"messages"`
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}
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type PaLMChatRequest struct {
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Prompt []Message `json:"prompt"`
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Temperature float64 `json:"temperature"`
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CandidateCount int `json:"candidateCount"`
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TopP float64 `json:"topP"`
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TopK int `json:"topK"`
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Prompt PaLMPrompt `json:"prompt"`
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Temperature float64 `json:"temperature,omitempty"`
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CandidateCount int `json:"candidateCount,omitempty"`
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TopP float64 `json:"topP,omitempty"`
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TopK int `json:"topK,omitempty"`
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}
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type PaLMError struct {
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Code int `json:"code"`
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Message string `json:"message"`
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Status string `json:"status"`
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}
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body
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type PaLMChatResponse struct {
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Candidates []Message `json:"candidates"`
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Messages []Message `json:"messages"`
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Filters []PaLMFilter `json:"filters"`
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Candidates []PaLMChatMessage `json:"candidates"`
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Messages []Message `json:"messages"`
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Filters []PaLMFilter `json:"filters"`
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Error PaLMError `json:"error"`
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}
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func relayPaLM(openAIRequest GeneralOpenAIRequest, c *gin.Context) *OpenAIErrorWithStatusCode {
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// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage
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messages := make([]PaLMChatMessage, 0, len(openAIRequest.Messages))
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for _, message := range openAIRequest.Messages {
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var author string
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if message.Role == "user" {
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author = "0"
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} else {
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author = "1"
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}
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messages = append(messages, PaLMChatMessage{
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Author: author,
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func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest {
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palmRequest := PaLMChatRequest{
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Prompt: PaLMPrompt{
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Messages: make([]PaLMChatMessage, 0, len(textRequest.Messages)),
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},
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Temperature: textRequest.Temperature,
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CandidateCount: textRequest.N,
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TopP: textRequest.TopP,
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TopK: textRequest.MaxTokens,
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}
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for _, message := range textRequest.Messages {
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palmMessage := PaLMChatMessage{
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Content: message.Content,
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})
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}
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if message.Role == "user" {
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palmMessage.Author = "0"
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} else {
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palmMessage.Author = "1"
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}
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palmRequest.Prompt.Messages = append(palmRequest.Prompt.Messages, palmMessage)
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}
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request := PaLMChatRequest{
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Prompt: nil,
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Temperature: openAIRequest.Temperature,
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CandidateCount: openAIRequest.N,
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TopP: openAIRequest.TopP,
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TopK: openAIRequest.MaxTokens,
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}
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// TODO: forward request to PaLM & convert response
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fmt.Print(request)
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return nil
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return &palmRequest
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}
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func responsePaLM2OpenAI(response *PaLMChatResponse) *OpenAITextResponse {
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fullTextResponse := OpenAITextResponse{
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Choices: make([]OpenAITextResponseChoice, 0, len(response.Candidates)),
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}
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for i, candidate := range response.Candidates {
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choice := OpenAITextResponseChoice{
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Index: i,
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Message: Message{
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Role: "assistant",
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Content: candidate.Content,
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},
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FinishReason: "stop",
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}
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fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
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}
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return &fullTextResponse
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}
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func streamResponsePaLM2OpenAI(palmResponse *PaLMChatResponse) *ChatCompletionsStreamResponse {
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var choice ChatCompletionsStreamResponseChoice
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if len(palmResponse.Candidates) > 0 {
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choice.Delta.Content = palmResponse.Candidates[0].Content
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}
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choice.FinishReason = "stop"
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var response ChatCompletionsStreamResponse
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response.Object = "chat.completion.chunk"
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response.Model = "palm2"
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response.Choices = []ChatCompletionsStreamResponseChoice{choice}
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return &response
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}
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func palmStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
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responseText := ""
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responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
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createdTime := common.GetTimestamp()
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dataChan := make(chan string)
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stopChan := make(chan bool)
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go func() {
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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common.SysError("error reading stream response: " + err.Error())
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stopChan <- true
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return
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}
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err = resp.Body.Close()
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if err != nil {
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common.SysError("error closing stream response: " + err.Error())
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stopChan <- true
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return
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}
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var palmResponse PaLMChatResponse
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err = json.Unmarshal(responseBody, &palmResponse)
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if err != nil {
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common.SysError("error unmarshalling stream response: " + err.Error())
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stopChan <- true
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return
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}
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fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse)
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fullTextResponse.Id = responseId
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fullTextResponse.Created = createdTime
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jsonResponse, err := json.Marshal(fullTextResponse)
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if err != nil {
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common.SysError("error marshalling stream response: " + err.Error())
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stopChan <- true
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return
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}
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dataChan <- string(jsonResponse)
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stopChan <- true
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}()
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c.Writer.Header().Set("Content-Type", "text/event-stream")
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c.Writer.Header().Set("Cache-Control", "no-cache")
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c.Writer.Header().Set("Connection", "keep-alive")
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c.Writer.Header().Set("Transfer-Encoding", "chunked")
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c.Writer.Header().Set("X-Accel-Buffering", "no")
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c.Stream(func(w io.Writer) bool {
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select {
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case data := <-dataChan:
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c.Render(-1, common.CustomEvent{Data: "data: " + data})
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return true
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case <-stopChan:
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c.Render(-1, common.CustomEvent{Data: "data: [DONE]"})
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return false
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}
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})
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err := resp.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
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}
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return nil, responseText
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}
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func palmHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
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responseBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
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}
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err = resp.Body.Close()
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if err != nil {
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return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
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}
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var palmResponse PaLMChatResponse
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err = json.Unmarshal(responseBody, &palmResponse)
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if err != nil {
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return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
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}
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if palmResponse.Error.Code != 0 || len(palmResponse.Candidates) == 0 {
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return &OpenAIErrorWithStatusCode{
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OpenAIError: OpenAIError{
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Message: palmResponse.Error.Message,
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Type: palmResponse.Error.Status,
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Param: "",
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Code: palmResponse.Error.Code,
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},
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StatusCode: resp.StatusCode,
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}, nil
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}
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fullTextResponse := responsePaLM2OpenAI(&palmResponse)
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completionTokens := countTokenText(palmResponse.Candidates[0].Content, model)
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usage := Usage{
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PromptTokens: promptTokens,
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CompletionTokens: completionTokens,
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TotalTokens: promptTokens + completionTokens,
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}
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fullTextResponse.Usage = usage
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jsonResponse, err := json.Marshal(fullTextResponse)
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if err != nil {
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return errorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
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}
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c.Writer.Header().Set("Content-Type", "application/json")
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c.Writer.WriteHeader(resp.StatusCode)
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_, err = c.Writer.Write(jsonResponse)
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return nil, &usage
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}
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@ -82,6 +82,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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apiType = APITypeClaude
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} else if strings.HasPrefix(textRequest.Model, "ERNIE") {
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apiType = APITypeBaidu
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} else if strings.HasPrefix(textRequest.Model, "PaLM") {
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apiType = APITypePaLM
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}
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baseURL := common.ChannelBaseURLs[channelType]
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requestURL := c.Request.URL.String()
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@ -127,6 +129,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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fullRequestURL += "?access_token=" + apiKey // TODO: access token expire in 30 days
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case APITypePaLM:
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fullRequestURL = "https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage"
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apiKey := c.Request.Header.Get("Authorization")
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apiKey = strings.TrimPrefix(apiKey, "Bearer ")
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fullRequestURL += "?key=" + apiKey
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}
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var promptTokens int
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var completionTokens int
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@ -186,6 +193,13 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
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}
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requestBody = bytes.NewBuffer(jsonStr)
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case APITypePaLM:
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palmRequest := requestOpenAI2PaLM(textRequest)
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jsonStr, err := json.Marshal(palmRequest)
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if err != nil {
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return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
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}
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requestBody = bytes.NewBuffer(jsonStr)
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}
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req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody)
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if err != nil {
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@ -323,6 +337,22 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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textResponse.Usage = *usage
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return nil
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}
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case APITypePaLM:
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if textRequest.Stream { // PaLM2 API does not support stream
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err, responseText := palmStreamHandler(c, resp)
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if err != nil {
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return err
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}
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streamResponseText = responseText
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return nil
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} else {
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err, usage := palmHandler(c, resp, promptTokens, textRequest.Model)
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if err != nil {
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return err
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}
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textResponse.Usage = *usage
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return nil
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}
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default:
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return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
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}
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@ -3,6 +3,7 @@ export const CHANNEL_OPTIONS = [
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{ key: 14, text: 'Anthropic', value: 14, color: 'black' },
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{ key: 8, text: '自定义', value: 8, color: 'pink' },
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{ key: 3, text: 'Azure', value: 3, color: 'olive' },
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{ key: 11, text: 'PaLM', value: 11, color: 'orange' },
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{ key: 15, text: 'Baidu', value: 15, color: 'blue' },
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{ key: 2, text: 'API2D', value: 2, color: 'blue' },
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{ key: 4, text: 'CloseAI', value: 4, color: 'teal' },
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