feat: support ali's llm (close #326)
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parent
d1b6f492b6
commit
e92da7928b
@ -63,6 +63,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
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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] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
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+ [x] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
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2. 支持配置镜像以及众多第三方代理服务:
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+ [x] [API Distribute](https://api.gptjk.top/register?aff=QGxj)
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@ -156,6 +156,7 @@ const (
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ChannelTypeAnthropic = 14
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ChannelTypeBaidu = 15
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ChannelTypeZhipu = 16
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ChannelTypeAli = 17
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)
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var ChannelBaseURLs = []string{
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@ -176,4 +177,5 @@ var ChannelBaseURLs = []string{
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"https://api.anthropic.com", // 14
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"https://aip.baidubce.com", // 15
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"https://open.bigmodel.cn", // 16
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"https://dashscope.aliyuncs.com", // 17
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}
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@ -46,6 +46,8 @@ var ModelRatio = map[string]float64{
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"chatglm_pro": 0.7143, // ¥0.01 / 1k tokens
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"chatglm_std": 0.3572, // ¥0.005 / 1k tokens
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"chatglm_lite": 0.1429, // ¥0.002 / 1k tokens
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"qwen-v1": 0.8572, // TBD: https://help.aliyun.com/document_detail/2399482.html?spm=a2c4g.2399482.0.0.1ad347feilAgag
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"qwen-plus-v1": 0.5715, // Same as above
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}
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func ModelRatio2JSONString() string {
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@ -324,6 +324,24 @@ func init() {
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Root: "chatglm_lite",
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Parent: nil,
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},
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{
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Id: "qwen-v1",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "ali",
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Permission: permission,
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Root: "qwen-v1",
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Parent: nil,
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},
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{
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Id: "qwen-plus-v1",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "ali",
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Permission: permission,
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Root: "qwen-plus-v1",
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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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240
controller/relay-ali.go
Normal file
240
controller/relay-ali.go
Normal file
@ -0,0 +1,240 @@
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package controller
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import (
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"bufio"
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"encoding/json"
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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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"strings"
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)
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// https://help.aliyun.com/document_detail/613695.html?spm=a2c4g.2399480.0.0.1adb778fAdzP9w#341800c0f8w0r
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type AliMessage struct {
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User string `json:"user"`
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Bot string `json:"bot"`
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}
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type AliInput struct {
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Prompt string `json:"prompt"`
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History []AliMessage `json:"history"`
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}
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type AliParameters struct {
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TopP float64 `json:"top_p,omitempty"`
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TopK int `json:"top_k,omitempty"`
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Seed uint64 `json:"seed,omitempty"`
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EnableSearch bool `json:"enable_search,omitempty"`
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}
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type AliChatRequest struct {
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Model string `json:"model"`
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Input AliInput `json:"input"`
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Parameters AliParameters `json:"parameters,omitempty"`
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}
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type AliError struct {
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Code string `json:"code"`
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Message string `json:"message"`
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RequestId string `json:"request_id"`
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}
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type AliUsage struct {
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InputTokens int `json:"input_tokens"`
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OutputTokens int `json:"output_tokens"`
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}
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type AliOutput struct {
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Text string `json:"text"`
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FinishReason string `json:"finish_reason"`
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}
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type AliChatResponse struct {
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Output AliOutput `json:"output"`
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Usage AliUsage `json:"usage"`
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AliError
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}
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func requestOpenAI2Ali(request GeneralOpenAIRequest) *AliChatRequest {
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messages := make([]AliMessage, 0, len(request.Messages))
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prompt := ""
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for i := 0; i < len(request.Messages); i++ {
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message := request.Messages[i]
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if message.Role == "system" {
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messages = append(messages, AliMessage{
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User: message.Content,
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Bot: "Okay",
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})
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continue
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} else {
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if i == len(request.Messages)-1 {
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prompt = message.Content
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break
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}
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messages = append(messages, AliMessage{
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User: message.Content,
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Bot: request.Messages[i+1].Content,
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})
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i++
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}
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}
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return &AliChatRequest{
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Model: request.Model,
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Input: AliInput{
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Prompt: prompt,
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History: messages,
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},
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//Parameters: AliParameters{ // ChatGPT's parameters are not compatible with Ali's
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// TopP: request.TopP,
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// TopK: 50,
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// //Seed: 0,
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// //EnableSearch: false,
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//},
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}
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}
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func responseAli2OpenAI(response *AliChatResponse) *OpenAITextResponse {
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choice := OpenAITextResponseChoice{
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Index: 0,
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Message: Message{
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Role: "assistant",
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Content: response.Output.Text,
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},
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FinishReason: response.Output.FinishReason,
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}
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fullTextResponse := OpenAITextResponse{
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Id: response.RequestId,
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Object: "chat.completion",
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Created: common.GetTimestamp(),
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Choices: []OpenAITextResponseChoice{choice},
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Usage: Usage{
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PromptTokens: response.Usage.InputTokens,
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CompletionTokens: response.Usage.OutputTokens,
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TotalTokens: response.Usage.InputTokens + response.Usage.OutputTokens,
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},
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}
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return &fullTextResponse
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}
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func streamResponseAli2OpenAI(aliResponse *AliChatResponse) *ChatCompletionsStreamResponse {
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var choice ChatCompletionsStreamResponseChoice
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choice.Delta.Content = aliResponse.Output.Text
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choice.FinishReason = aliResponse.Output.FinishReason
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response := ChatCompletionsStreamResponse{
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Id: aliResponse.RequestId,
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Object: "chat.completion.chunk",
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Created: common.GetTimestamp(),
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Model: "ernie-bot",
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Choices: []ChatCompletionsStreamResponseChoice{choice},
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}
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return &response
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}
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func aliStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
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var usage Usage
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scanner := bufio.NewScanner(resp.Body)
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scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) {
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if atEOF && len(data) == 0 {
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return 0, nil, nil
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}
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if i := strings.Index(string(data), "\n"); i >= 0 {
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return i + 1, data[0:i], nil
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}
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if atEOF {
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return len(data), data, nil
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}
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return 0, nil, nil
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})
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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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for scanner.Scan() {
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data := scanner.Text()
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if len(data) < 5 { // ignore blank line or wrong format
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continue
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}
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if data[:5] != "data:" {
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continue
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}
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data = data[5:]
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dataChan <- data
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}
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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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lastResponseText := ""
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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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var aliResponse AliChatResponse
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err := json.Unmarshal([]byte(data), &aliResponse)
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if err != nil {
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common.SysError("error unmarshalling stream response: " + err.Error())
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return true
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}
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usage.PromptTokens += aliResponse.Usage.InputTokens
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usage.CompletionTokens += aliResponse.Usage.OutputTokens
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usage.TotalTokens += aliResponse.Usage.InputTokens + aliResponse.Usage.OutputTokens
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response := streamResponseAli2OpenAI(&aliResponse)
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response.Choices[0].Delta.Content = strings.TrimPrefix(response.Choices[0].Delta.Content, lastResponseText)
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lastResponseText = aliResponse.Output.Text
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jsonResponse, err := json.Marshal(response)
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if err != nil {
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common.SysError("error marshalling stream response: " + err.Error())
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return true
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}
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c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)})
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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), nil
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}
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return nil, &usage
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}
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func aliHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
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var aliResponse AliChatResponse
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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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err = json.Unmarshal(responseBody, &aliResponse)
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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 aliResponse.Code != "" {
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return &OpenAIErrorWithStatusCode{
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OpenAIError: OpenAIError{
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Message: aliResponse.Message,
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Type: aliResponse.Code,
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Param: aliResponse.RequestId,
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Code: aliResponse.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 := responseAli2OpenAI(&aliResponse)
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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, &fullTextResponse.Usage
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}
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@ -20,6 +20,7 @@ const (
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APITypePaLM
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APITypeBaidu
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APITypeZhipu
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APITypeAli
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)
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var httpClient *http.Client
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@ -94,6 +95,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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apiType = APITypePaLM
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case common.ChannelTypeZhipu:
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apiType = APITypeZhipu
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case common.ChannelTypeAli:
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apiType = APITypeAli
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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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@ -153,6 +157,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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method = "sse-invoke"
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}
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fullRequestURL = fmt.Sprintf("https://open.bigmodel.cn/api/paas/v3/model-api/%s/%s", textRequest.Model, method)
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case APITypeAli:
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fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation"
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}
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var promptTokens int
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var completionTokens int
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@ -226,6 +232,13 @@ 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 APITypeAli:
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aliRequest := requestOpenAI2Ali(textRequest)
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jsonStr, err := json.Marshal(aliRequest)
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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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@ -250,6 +263,11 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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case APITypeZhipu:
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token := getZhipuToken(apiKey)
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req.Header.Set("Authorization", token)
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case APITypeAli:
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req.Header.Set("Authorization", "Bearer "+apiKey)
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if textRequest.Stream {
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req.Header.Set("X-DashScope-SSE", "enable")
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}
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}
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req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type"))
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req.Header.Set("Accept", c.Request.Header.Get("Accept"))
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@ -280,7 +298,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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if strings.HasPrefix(textRequest.Model, "gpt-4") {
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completionRatio = 2
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}
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if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu {
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if isStream && apiType != APITypeBaidu && apiType != APITypeZhipu && apiType != APITypeAli {
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completionTokens = countTokenText(streamResponseText, textRequest.Model)
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} else {
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promptTokens = textResponse.Usage.PromptTokens
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@ -415,6 +433,26 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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}
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return nil
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}
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case APITypeAli:
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if isStream {
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err, usage := aliStreamHandler(c, resp)
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if err != nil {
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return err
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}
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if usage != nil {
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textResponse.Usage = *usage
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}
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return nil
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} else {
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err, usage := aliHandler(c, resp)
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if err != nil {
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return err
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}
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if usage != nil {
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textResponse.Usage = *usage
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}
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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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@ -4,6 +4,7 @@ export const CHANNEL_OPTIONS = [
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{ key: 3, text: 'Azure OpenAI', value: 3, color: 'olive' },
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{ key: 11, text: 'Google PaLM2', value: 11, color: 'orange' },
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{ key: 15, text: '百度文心千帆', value: 15, color: 'blue' },
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{ key: 17, text: '阿里通义千问', value: 17, color: 'orange' },
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{ key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
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{ key: 8, text: '自定义渠道', value: 8, color: 'pink' },
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{ key: 2, text: '代理:API2D', value: 2, color: 'blue' },
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@ -14,5 +15,5 @@ export const CHANNEL_OPTIONS = [
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{ key: 6, text: '代理:OpenAI Max', value: 6, color: 'violet' },
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{ key: 9, text: '代理:AI.LS', value: 9, color: 'yellow' },
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{ key: 12, text: '代理:API2GPT', value: 12, color: 'blue' },
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{ key: 13, text: '代理:AIGC2D', value: 13, color: 'purple' }
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{ key: 13, text: '代理:AIGC2D', value: 13, color: 'purple' },
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];
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