feat: support Tencent's model (close #519)
This commit is contained in:
JustSong
parent
d663de3e3a
commit
b4b4acc288
@ -72,6 +72,7 @@ _✨ 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] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
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+ [x] [智谱 ChatGLM 系列模型](https://bigmodel.cn)
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+ [x] [360 智脑](https://ai.360.cn)
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+ [x] [腾讯混元大模型](https://cloud.tencent.com/document/product/1729)
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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] [OpenAI-SB](https://openai-sb.com)
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+ [x] [CloseAI](https://console.closeai-asia.com/r/2412)
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@ -186,30 +186,32 @@ const (
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ChannelTypeOpenRouter = 20
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ChannelTypeAIProxyLibrary = 21
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ChannelTypeFastGPT = 22
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ChannelTypeTencent = 23
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)
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var ChannelBaseURLs = []string{
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"", // 0
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"https://api.openai.com", // 1
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"https://oa.api2d.net", // 2
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"", // 3
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"https://api.closeai-proxy.xyz", // 4
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"https://api.openai-sb.com", // 5
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"https://api.openaimax.com", // 6
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"https://api.ohmygpt.com", // 7
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"", // 8
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"https://api.caipacity.com", // 9
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"https://api.aiproxy.io", // 10
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"", // 11
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"https://api.api2gpt.com", // 12
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"https://api.aigc2d.com", // 13
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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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"", // 18
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"https://ai.360.cn", // 19
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"https://openrouter.ai/api", // 20
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"https://api.aiproxy.io", // 21
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"https://fastgpt.run/api/openapi", // 22
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"", // 0
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"https://api.openai.com", // 1
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"https://oa.api2d.net", // 2
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"", // 3
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"https://api.closeai-proxy.xyz", // 4
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"https://api.openai-sb.com", // 5
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"https://api.openaimax.com", // 6
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"https://api.ohmygpt.com", // 7
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"", // 8
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"https://api.caipacity.com", // 9
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"https://api.aiproxy.io", // 10
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"", // 11
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"https://api.api2gpt.com", // 12
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"https://api.aigc2d.com", // 13
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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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"", // 18
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"https://ai.360.cn", // 19
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"https://openrouter.ai/api", // 20
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"https://api.aiproxy.io", // 21
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"https://fastgpt.run/api/openapi", // 22
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"https://hunyuan.cloud.tencent.com", //23
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}
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@ -59,6 +59,7 @@ var ModelRatio = map[string]float64{
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"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
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"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
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"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
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"hunyuan": 7.143, // ¥0.1 / 1k tokens // https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
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}
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func ModelRatio2JSONString() string {
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@ -423,6 +423,15 @@ func init() {
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Root: "semantic_similarity_s1_v1",
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Parent: nil,
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},
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{
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Id: "hunyuan",
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Object: "model",
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Created: 1677649963,
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OwnedBy: "tencent",
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Permission: permission,
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Root: "hunyuan",
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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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@ -46,7 +46,7 @@ func UpdateOption(c *gin.Context) {
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if option.Value == "true" && common.GitHubClientId == "" {
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c.JSON(http.StatusOK, gin.H{
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"success": false,
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"message": "无法启用 GitHub OAuth，请先填入 GitHub Client ID 以及 GitHub Client Secret！",
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"message": "无法启用 GitHub OAuth，请先填入 GitHub Client Id 以及 GitHub Client Secret！",
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})
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return
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}
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287
controller/relay-tencent.go
Normal file
287
controller/relay-tencent.go
Normal file
@ -0,0 +1,287 @@
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package controller
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import (
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"bufio"
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"crypto/hmac"
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"crypto/sha1"
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"encoding/base64"
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"encoding/json"
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"errors"
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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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"sort"
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"strconv"
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"strings"
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)
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// https://cloud.tencent.com/document/product/1729/97732
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type TencentMessage struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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type TencentChatRequest struct {
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AppId int64 `json:"app_id"` // 腾讯云账号的 APPID
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SecretId string `json:"secret_id"` // 官网 SecretId
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// Timestamp当前 UNIX 时间戳，单位为秒，可记录发起 API 请求的时间。
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// 例如1529223702，如果与当前时间相差过大，会引起签名过期错误
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Timestamp int64 `json:"timestamp"`
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// Expired 签名的有效期，是一个符合 UNIX Epoch 时间戳规范的数值，
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// 单位为秒；Expired 必须大于 Timestamp 且 Expired-Timestamp 小于90天
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Expired int64 `json:"expired"`
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QueryID string `json:"query_id"` //请求 Id，用于问题排查
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// Temperature 较高的数值会使输出更加随机，而较低的数值会使其更加集中和确定
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// 默认 1.0，取值区间为[0.0,2.0]，非必要不建议使用,不合理的取值会影响效果
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// 建议该参数和 top_p 只设置1个，不要同时更改 top_p
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Temperature float64 `json:"temperature"`
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// TopP 影响输出文本的多样性，取值越大，生成文本的多样性越强
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// 默认1.0，取值区间为[0.0, 1.0]，非必要不建议使用, 不合理的取值会影响效果
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// 建议该参数和 temperature 只设置1个，不要同时更改
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TopP float64 `json:"top_p"`
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// Stream 0：同步，1：流式 （默认，协议：SSE)
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// 同步请求超时：60s，如果内容较长建议使用流式
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Stream int `json:"stream"`
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// Messages 会话内容, 长度最多为40, 按对话时间从旧到新在数组中排列
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// 输入 content 总数最大支持 3000 token。
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Messages []TencentMessage `json:"messages"`
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}
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type TencentError struct {
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Code int `json:"code"`
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Message string `json:"message"`
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}
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type TencentUsage struct {
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InputTokens int `json:"input_tokens"`
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OutputTokens int `json:"output_tokens"`
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TotalTokens int `json:"total_tokens"`
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}
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type TencentResponseChoices struct {
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FinishReason string `json:"finish_reason,omitempty"` // 流式结束标志位，为 stop 则表示尾包
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Messages TencentMessage `json:"messages,omitempty"` // 内容，同步模式返回内容，流模式为 null 输出 content 内容总数最多支持 1024token。
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Delta TencentMessage `json:"delta,omitempty"` // 内容，流模式返回内容，同步模式为 null 输出 content 内容总数最多支持 1024token。
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}
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type TencentChatResponse struct {
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Choices []TencentResponseChoices `json:"choices,omitempty"` // 结果
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Created string `json:"created,omitempty"` // unix 时间戳的字符串
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Id string `json:"id,omitempty"` // 会话 id
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Usage Usage `json:"usage,omitempty"` // token 数量
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Error TencentError `json:"error,omitempty"` // 错误信息 注意：此字段可能返回 null，表示取不到有效值
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Note string `json:"note,omitempty"` // 注释
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ReqID string `json:"req_id,omitempty"` // 唯一请求 Id，每次请求都会返回。用于反馈接口入参
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}
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func requestOpenAI2Tencent(request GeneralOpenAIRequest) *TencentChatRequest {
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messages := make([]TencentMessage, 0, len(request.Messages))
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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, TencentMessage{
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Role: "user",
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Content: message.Content,
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})
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messages = append(messages, TencentMessage{
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Role: "assistant",
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Content: "Okay",
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})
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continue
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}
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messages = append(messages, TencentMessage{
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Content: message.Content,
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Role: message.Role,
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})
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}
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stream := 0
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if request.Stream {
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stream = 1
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}
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return &TencentChatRequest{
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Timestamp: common.GetTimestamp(),
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Expired: common.GetTimestamp() + 24*60*60,
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QueryID: common.GetUUID(),
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Temperature: request.Temperature,
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TopP: request.TopP,
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Stream: stream,
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Messages: messages,
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}
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}
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func responseTencent2OpenAI(response *TencentChatResponse) *OpenAITextResponse {
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fullTextResponse := OpenAITextResponse{
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Object: "chat.completion",
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Created: common.GetTimestamp(),
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Usage: response.Usage,
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}
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if len(response.Choices) > 0 {
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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.Choices[0].Messages.Content,
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},
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FinishReason: response.Choices[0].FinishReason,
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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 streamResponseTencent2OpenAI(TencentResponse *TencentChatResponse) *ChatCompletionsStreamResponse {
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response := ChatCompletionsStreamResponse{
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Object: "chat.completion.chunk",
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Created: common.GetTimestamp(),
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Model: "tencent-hunyuan",
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}
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if len(TencentResponse.Choices) > 0 {
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var choice ChatCompletionsStreamResponseChoice
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choice.Delta.Content = TencentResponse.Choices[0].Delta.Content
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if TencentResponse.Choices[0].FinishReason == "stop" {
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choice.FinishReason = &stopFinishReason
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}
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response.Choices = append(response.Choices, choice)
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}
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return &response
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}
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func tencentStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) {
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var responseText string
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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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setEventStreamHeaders(c)
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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 TencentResponse TencentChatResponse
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err := json.Unmarshal([]byte(data), &TencentResponse)
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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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response := streamResponseTencent2OpenAI(&TencentResponse)
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if len(response.Choices) != 0 {
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responseText += response.Choices[0].Delta.Content
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}
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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), ""
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}
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return nil, responseText
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}
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func tencentHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) {
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var TencentResponse TencentChatResponse
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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, &TencentResponse)
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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 TencentResponse.Error.Code != 0 {
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return &OpenAIErrorWithStatusCode{
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OpenAIError: OpenAIError{
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Message: TencentResponse.Error.Message,
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Code: TencentResponse.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 := responseTencent2OpenAI(&TencentResponse)
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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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func parseTencentConfig(config string) (appId int64, secretId string, secretKey string, err error) {
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parts := strings.Split(config, "|")
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if len(parts) != 3 {
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err = errors.New("invalid tencent config")
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return
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}
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appId, err = strconv.ParseInt(parts[0], 10, 64)
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secretId = parts[1]
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secretKey = parts[2]
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return
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}
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func getTencentSign(req TencentChatRequest, secretKey string) string {
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params := make([]string, 0)
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params = append(params, "app_id="+strconv.FormatInt(req.AppId, 10))
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params = append(params, "secret_id="+req.SecretId)
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params = append(params, "timestamp="+strconv.FormatInt(req.Timestamp, 10))
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params = append(params, "query_id="+req.QueryID)
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params = append(params, "temperature="+strconv.FormatFloat(req.Temperature, 'f', -1, 64))
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params = append(params, "top_p="+strconv.FormatFloat(req.TopP, 'f', -1, 64))
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params = append(params, "stream="+strconv.Itoa(req.Stream))
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params = append(params, "expired="+strconv.FormatInt(req.Expired, 10))
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var messageStr string
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for _, msg := range req.Messages {
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messageStr += fmt.Sprintf(`{"role":"%s","content":"%s"},`, msg.Role, msg.Content)
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}
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messageStr = strings.TrimSuffix(messageStr, ",")
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params = append(params, "messages=["+messageStr+"]")
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sort.Sort(sort.StringSlice(params))
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url := "hunyuan.cloud.tencent.com/hyllm/v1/chat/completions?" + strings.Join(params, "&")
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mac := hmac.New(sha1.New, []byte(secretKey))
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signURL := url
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mac.Write([]byte(signURL))
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sign := mac.Sum([]byte(nil))
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return base64.StdEncoding.EncodeToString(sign)
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}
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@ -24,6 +24,7 @@ const (
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APITypeAli
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APITypeXunfei
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APITypeAIProxyLibrary
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APITypeTencent
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)
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var httpClient *http.Client
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@ -109,6 +110,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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apiType = APITypeXunfei
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case common.ChannelTypeAIProxyLibrary:
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apiType = APITypeAIProxyLibrary
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case common.ChannelTypeTencent:
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apiType = APITypeTencent
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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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@ -179,6 +182,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
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if relayMode == RelayModeEmbeddings {
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fullRequestURL = "https://dashscope.aliyuncs.com/api/v1/services/embeddings/text-embedding/text-embedding"
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}
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case APITypeTencent:
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fullRequestURL = "https://hunyuan.cloud.tencent.com/hyllm/v1/chat/completions"
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case APITypeAIProxyLibrary:
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fullRequestURL = fmt.Sprintf("%s/api/library/ask", baseURL)
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}
|
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@ -285,6 +290,23 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
requestBody = bytes.NewBuffer(jsonStr)
|
||||
case APITypeTencent:
|
||||
apiKey := c.Request.Header.Get("Authorization")
|
||||
apiKey = strings.TrimPrefix(apiKey, "Bearer ")
|
||||
appId, secretId, secretKey, err := parseTencentConfig(apiKey)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "invalid_tencent_config", http.StatusInternalServerError)
|
||||
}
|
||||
tencentRequest := requestOpenAI2Tencent(textRequest)
|
||||
tencentRequest.AppId = appId
|
||||
tencentRequest.SecretId = secretId
|
||||
jsonStr, err := json.Marshal(tencentRequest)
|
||||
if err != nil {
|
||||
return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError)
|
||||
}
|
||||
sign := getTencentSign(*tencentRequest, secretKey)
|
||||
c.Request.Header.Set("Authorization", sign)
|
||||
requestBody = bytes.NewBuffer(jsonStr)
|
||||
case APITypeAIProxyLibrary:
|
||||
aiProxyLibraryRequest := requestOpenAI2AIProxyLibrary(textRequest)
|
||||
aiProxyLibraryRequest.LibraryId = c.GetString("library_id")
|
||||
@ -332,6 +354,8 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
if textRequest.Stream {
|
||||
req.Header.Set("X-DashScope-SSE", "enable")
|
||||
}
|
||||
case APITypeTencent:
|
||||
req.Header.Set("Authorization", apiKey)
|
||||
default:
|
||||
req.Header.Set("Authorization", "Bearer "+apiKey)
|
||||
}
|
||||
@ -584,6 +608,25 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode {
|
||||
}
|
||||
return nil
|
||||
}
|
||||
case APITypeTencent:
|
||||
if isStream {
|
||||
err, responseText := tencentStreamHandler(c, resp)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
textResponse.Usage.PromptTokens = promptTokens
|
||||
textResponse.Usage.CompletionTokens = countTokenText(responseText, textRequest.Model)
|
||||
return nil
|
||||
} else {
|
||||
err, usage := tencentHandler(c, resp)
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
if usage != nil {
|
||||
textResponse.Usage = *usage
|
||||
}
|
||||
return nil
|
||||
}
|
||||
default:
|
||||
return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError)
|
||||
}
|
||||
|
||||
@ -25,12 +25,12 @@ func Distribute() func(c *gin.Context) {
|
||||
if ok {
|
||||
id, err := strconv.Atoi(channelId.(string))
|
||||
if err != nil {
|
||||
abortWithMessage(c, http.StatusBadRequest, "无效的渠道 ID")
|
||||
abortWithMessage(c, http.StatusBadRequest, "无效的渠道 Id")
|
||||
return
|
||||
}
|
||||
channel, err = model.GetChannelById(id, true)
|
||||
if err != nil {
|
||||
abortWithMessage(c, http.StatusBadRequest, "无效的渠道 ID")
|
||||
abortWithMessage(c, http.StatusBadRequest, "无效的渠道 Id")
|
||||
return
|
||||
}
|
||||
if channel.Status != common.ChannelStatusEnabled {
|
||||
|
||||
@ -8,6 +8,7 @@ export const CHANNEL_OPTIONS = [
|
||||
{ key: 18, text: '讯飞星火认知', value: 18, color: 'blue' },
|
||||
{ key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
|
||||
{ key: 19, text: '360 智脑', value: 19, color: 'blue' },
|
||||
{ key: 23, text: '腾讯混元', value: 23, color: 'teal' },
|
||||
{ key: 8, text: '自定义渠道', value: 8, color: 'pink' },
|
||||
{ key: 22, text: '知识库：FastGPT', value: 22, color: 'blue' },
|
||||
{ key: 21, text: '知识库：AI Proxy', value: 21, color: 'purple' },
|
||||
|
||||
@ -19,6 +19,8 @@ function type2secretPrompt(type) {
|
||||
return '按照如下格式输入：APPID|APISecret|APIKey';
|
||||
case 22:
|
||||
return '按照如下格式输入：APIKey-AppId，例如：fastgpt-0sp2gtvfdgyi4k30jwlgwf1i-64f335d84283f05518e9e041';
|
||||
case 23:
|
||||
return '按照如下格式输入：AppId|SecretId|SecretKey';
|
||||
default:
|
||||
return '请输入渠道对应的鉴权密钥';
|
||||
}
|
||||
@ -78,6 +80,9 @@ const EditChannel = () => {
|
||||
case 19:
|
||||
localModels = ['360GPT_S2_V9', 'embedding-bert-512-v1', 'embedding_s1_v1', 'semantic_similarity_s1_v1'];
|
||||
break;
|
||||
case 23:
|
||||
localModels = ['hunyuan'];
|
||||
break;
|
||||
}
|
||||
setInputs((inputs) => ({ ...inputs, models: localModels }));
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user