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feat: add Google Gemini Pro support (songquanpeng#826)
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* fest: Add Google Gemini Pro, fix songquanpeng#810

* fest: Add tooling to Gemini; Add OpenAI-like system prompt to Gemini

* refactor: removing unused if statement

* fest: Add dummy model message for system message in gemini model

* chore: update implementation

---------

Co-authored-by: JustSong <[email protected]>
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2 people authored and H0llyW00dzZ committed Dec 20, 2023
1 parent 39086ab commit 128c44b
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Showing 12 changed files with 353 additions and 3 deletions.
2 changes: 1 addition & 1 deletion README.en.md
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Expand Up @@ -60,7 +60,7 @@ _✨ Access all LLM through the standard OpenAI API format, easy to deploy & use
1. Support for multiple large models:
+ [x] [OpenAI ChatGPT Series Models](https://platform.openai.com/docs/guides/gpt/chat-completions-api) (Supports [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference))
+ [x] [Anthropic Claude Series Models](https://anthropic.com)
+ [x] [Google PaLM2 Series Models](https://developers.generativeai.google)
+ [x] [Google PaLM2 and Gemini Series Models](https://developers.generativeai.google)
+ [x] [Baidu Wenxin Yiyuan Series Models](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+ [x] [Alibaba Tongyi Qianwen Series Models](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [Zhipu ChatGLM Series Models](https://bigmodel.cn)
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2 changes: 1 addition & 1 deletion README.ja.md
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Expand Up @@ -60,7 +60,7 @@ _✨ 標準的な OpenAI API フォーマットを通じてすべての LLM に
1. 複数の大型モデルをサポート:
+ [x] [OpenAI ChatGPT シリーズモデル](https://platform.openai.com/docs/guides/gpt/chat-completions-api) ([Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference) をサポート)
+ [x] [Anthropic Claude シリーズモデル](https://anthropic.com)
+ [x] [Google PaLM2 シリーズモデル](https://developers.generativeai.google)
+ [x] [Google PaLM2/Gemini シリーズモデル](https://developers.generativeai.google)
+ [x] [Baidu Wenxin Yiyuan シリーズモデル](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+ [x] [Alibaba Tongyi Qianwen シリーズモデル](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [Zhipu ChatGLM シリーズモデル](https://bigmodel.cn)
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -66,7 +66,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
1. 支持多种大模型:
+ [x] [OpenAI ChatGPT 系列模型](https://platform.openai.com/docs/guides/gpt/chat-completions-api)(支持 [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference)
+ [x] [Anthropic Claude 系列模型](https://anthropic.com)
+ [x] [Google PaLM2 系列模型](https://developers.generativeai.google)
+ [x] [Google PaLM2/Gemini 系列模型](https://developers.generativeai.google)
+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+ [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
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2 changes: 2 additions & 0 deletions common/constants.go
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Expand Up @@ -187,6 +187,7 @@ const (
ChannelTypeAIProxyLibrary = 21
ChannelTypeFastGPT = 22
ChannelTypeTencent = 23
ChannelTypeGemini = 24
)

var ChannelBaseURLs = []string{
Expand Down Expand Up @@ -214,4 +215,5 @@ var ChannelBaseURLs = []string{
"https://api.aiproxy.io", // 21
"https://fastgpt.run/api/openapi", // 22
"https://hunyuan.cloud.tencent.com", //23
"", //24
}
1 change: 1 addition & 0 deletions common/model-ratio.go
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Expand Up @@ -83,6 +83,7 @@ var ModelRatio = map[string]float64{
"ERNIE-Bot-4": 8.572, // ¥0.12 / 1k tokens
"Embedding-V1": 0.1429, // ¥0.002 / 1k tokens
"PaLM-2": 1,
"gemini-pro": 1, // $0.00025 / 1k characters -> $0.001 / 1k tokens
"chatglm_turbo": 0.3572, // ¥0.005 / 1k tokens
"chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
"chatglm_std": 0.3572, // ¥0.005 / 1k tokens
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2 changes: 2 additions & 0 deletions controller/channel-test.go
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Expand Up @@ -20,6 +20,8 @@ func testChannel(channel *model.Channel, request ChatRequest) (err error, openai
switch channel.Type {
case common.ChannelTypePaLM:
fallthrough
case common.ChannelTypeGemini:
fallthrough
case common.ChannelTypeAnthropic:
fallthrough
case common.ChannelTypeBaidu:
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9 changes: 9 additions & 0 deletions controller/model.go
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Expand Up @@ -423,6 +423,15 @@ func init() {
Root: "PaLM-2",
Parent: nil,
},
{
Id: "gemini-pro",
Object: "model",
Created: 1677649963,
OwnedBy: "google",
Permission: permission,
Root: "gemini-pro",
Parent: nil,
},
{
Id: "chatglm_turbo",
Object: "model",
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281 changes: 281 additions & 0 deletions controller/relay-gemini.go
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@@ -0,0 +1,281 @@
package controller

import (
"encoding/json"
"fmt"
"io"
"net/http"
"one-api/common"

"github.com/gin-gonic/gin"
)

type GeminiChatRequest struct {
Contents []GeminiChatContent `json:"contents"`
SafetySettings []GeminiChatSafetySettings `json:"safety_settings,omitempty"`
GenerationConfig GeminiChatGenerationConfig `json:"generation_config,omitempty"`
Tools []GeminiChatTools `json:"tools,omitempty"`
}

type GeminiInlineData struct {
MimeType string `json:"mimeType"`
Data string `json:"data"`
}

type GeminiPart struct {
Text string `json:"text,omitempty"`
InlineData *GeminiInlineData `json:"inlineData,omitempty"`
}

type GeminiChatContent struct {
Role string `json:"role,omitempty"`
Parts []GeminiPart `json:"parts"`
}

type GeminiChatSafetySettings struct {
Category string `json:"category"`
Threshold string `json:"threshold"`
}

type GeminiChatTools struct {
FunctionDeclarations any `json:"functionDeclarations,omitempty"`
}

type GeminiChatGenerationConfig struct {
Temperature float64 `json:"temperature,omitempty"`
TopP float64 `json:"topP,omitempty"`
TopK float64 `json:"topK,omitempty"`
MaxOutputTokens int `json:"maxOutputTokens,omitempty"`
CandidateCount int `json:"candidateCount,omitempty"`
StopSequences []string `json:"stopSequences,omitempty"`
}

// Setting safety to the lowest possible values since Gemini is already powerless enough
func requestOpenAI2Gemini(textRequest GeneralOpenAIRequest) *GeminiChatRequest {
geminiRequest := GeminiChatRequest{
Contents: make([]GeminiChatContent, 0, len(textRequest.Messages)),
//SafetySettings: []GeminiChatSafetySettings{
// {
// Category: "HARM_CATEGORY_HARASSMENT",
// Threshold: "BLOCK_ONLY_HIGH",
// },
// {
// Category: "HARM_CATEGORY_HATE_SPEECH",
// Threshold: "BLOCK_ONLY_HIGH",
// },
// {
// Category: "HARM_CATEGORY_SEXUALLY_EXPLICIT",
// Threshold: "BLOCK_ONLY_HIGH",
// },
// {
// Category: "HARM_CATEGORY_DANGEROUS_CONTENT",
// Threshold: "BLOCK_ONLY_HIGH",
// },
//},
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(),
},
},
}
// 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: "ok",
},
},
})
shouldAddDummyModelMessage = false
}
}

return &geminiRequest
}

type GeminiChatResponse struct {
Candidates []GeminiChatCandidate `json:"candidates"`
PromptFeedback GeminiChatPromptFeedback `json:"promptFeedback"`
}

type GeminiChatCandidate struct {
Content GeminiChatContent `json:"content"`
FinishReason string `json:"finishReason"`
Index int64 `json:"index"`
SafetyRatings []GeminiChatSafetyRating `json:"safetyRatings"`
}

type GeminiChatSafetyRating struct {
Category string `json:"category"`
Probability string `json:"probability"`
}

type GeminiChatPromptFeedback struct {
SafetyRatings []GeminiChatSafetyRating `json:"safetyRatings"`
}

func responseGeminiChat2OpenAI(response *GeminiChatResponse) *OpenAITextResponse {
fullTextResponse := OpenAITextResponse{
Id: fmt.Sprintf("chatcmpl-%s", common.GetUUID()),
Object: "chat.completion",
Created: common.GetTimestamp(),
Choices: make([]OpenAITextResponseChoice, 0, len(response.Candidates)),
}
for i, candidate := range response.Candidates {
choice := OpenAITextResponseChoice{
Index: i,
Message: Message{
Role: "assistant",
Content: candidate.Content.Parts[0].Text,
},
FinishReason: stopFinishReason,
}
fullTextResponse.Choices = append(fullTextResponse.Choices, choice)
}
return &fullTextResponse
}

func streamResponseGeminiChat2OpenAI(geminiResponse *GeminiChatResponse) *ChatCompletionsStreamResponse {
var choice ChatCompletionsStreamResponseChoice
if len(geminiResponse.Candidates) > 0 && len(geminiResponse.Candidates[0].Content.Parts) > 0 {
choice.Delta.Content = geminiResponse.Candidates[0].Content.Parts[0].Text
}
choice.FinishReason = &stopFinishReason
var response ChatCompletionsStreamResponse
response.Object = "chat.completion.chunk"
response.Model = "gemini"
response.Choices = []ChatCompletionsStreamResponseChoice{choice}
return &response
}

func geminiChatStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
responseText := ""
responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID())
createdTime := common.GetTimestamp()
dataChan := make(chan string)
stopChan := make(chan bool)
go func() {
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
common.SysError("error reading stream response: " + err.Error())
stopChan <- true
return
}
err = resp.Body.Close()
if err != nil {
common.SysError("error closing stream response: " + err.Error())
stopChan <- true
return
}
var geminiResponse GeminiChatResponse
err = json.Unmarshal(responseBody, &geminiResponse)
if err != nil {
common.SysError("error unmarshalling stream response: " + err.Error())
stopChan <- true
return
}
fullTextResponse := streamResponseGeminiChat2OpenAI(&geminiResponse)
fullTextResponse.Id = responseId
fullTextResponse.Created = createdTime
if len(geminiResponse.Candidates) > 0 && len(geminiResponse.Candidates[0].Content.Parts) > 0 {
responseText += geminiResponse.Candidates[0].Content.Parts[0].Text
}
jsonResponse, err := json.Marshal(fullTextResponse)
if err != nil {
common.SysError("error marshalling stream response: " + err.Error())
stopChan <- true
return
}
dataChan <- string(jsonResponse)
stopChan <- true
}()
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 errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), ""
}
return nil, responseText
}

func geminiChatHandler(c *gin.Context, resp *http.Response, promptTokens int, model string) (*OpenAIErrorWithStatusCode, *Usage) {
responseBody, err := io.ReadAll(resp.Body)
if err != nil {
return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
}
err = resp.Body.Close()
if err != nil {
return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
}
var geminiResponse GeminiChatResponse
err = json.Unmarshal(responseBody, &geminiResponse)
if err != nil {
return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
}
if len(geminiResponse.Candidates) == 0 {
return &OpenAIErrorWithStatusCode{
OpenAIError: OpenAIError{
Message: "No candidates returned",
Type: "server_error",
Param: "",
Code: 500,
},
StatusCode: resp.StatusCode,
}, nil
}
fullTextResponse := responseGeminiChat2OpenAI(&geminiResponse)
completionTokens := countTokenText(geminiResponse.Candidates[0].Content.Parts[0].Text, model)
usage := Usage{
PromptTokens: promptTokens,
CompletionTokens: completionTokens,
TotalTokens: promptTokens + completionTokens,
}
fullTextResponse.Usage = usage
jsonResponse, err := json.Marshal(fullTextResponse)
if err != nil {
return 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
}
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