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							| @@ -51,6 +51,8 @@ _✨ All in one 的 OpenAI 接口,整合各种 API 访问方式,开箱即用 | ||||
|   <a href="https://iamazing.cn/page/reward">赞赏支持</a> | ||||
| </p> | ||||
|  | ||||
| > **Note**:本项目为开源项目,使用者必须在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用,不得用于非法用途。 | ||||
|  | ||||
| > **Note**:使用 Docker 拉取的最新镜像可能是 `alpha` 版本,如果追求稳定性请手动指定版本。 | ||||
|  | ||||
| > **Warning**:从 `v0.3` 版本升级到 `v0.4` 版本需要手动迁移数据库,请手动执行[数据库迁移脚本](./bin/migration_v0.3-v0.4.sql)。 | ||||
| @@ -59,11 +61,15 @@ _✨ All in one 的 OpenAI 接口,整合各种 API 访问方式,开箱即用 | ||||
| 1. 支持多种 API 访问渠道: | ||||
|    + [x] OpenAI 官方通道(支持配置镜像) | ||||
|    + [x] **Azure OpenAI API** | ||||
|    + [x] [Anthropic Claude 系列模型](https://anthropic.com) | ||||
|    + [x] [Google PaLM2 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] [API Distribute](https://api.gptjk.top/register?aff=QGxj) | ||||
|    + [x] [OpenAI-SB](https://openai-sb.com) | ||||
|    + [x] [API2D](https://api2d.com/r/197971) | ||||
|    + [x] [OhMyGPT](https://aigptx.top?aff=uFpUl2Kf) | ||||
|    + [x] [AI Proxy](https://aiproxy.io/?i=OneAPI) (邀请码:`OneAPI`) | ||||
|    + [x] [CloseAI](https://console.closeai-asia.com/r/2412) | ||||
|    + [x] 自定义渠道:例如各种未收录的第三方代理服务 | ||||
| 2. 支持通过**负载均衡**的方式访问多个渠道。 | ||||
| 3. 支持 **stream 模式**,可以通过流式传输实现打字机效果。 | ||||
| @@ -78,21 +84,28 @@ _✨ All in one 的 OpenAI 接口,整合各种 API 访问方式,开箱即用 | ||||
| 12. 支持以美元为单位显示额度。 | ||||
| 13. 支持发布公告,设置充值链接,设置新用户初始额度。 | ||||
| 14. 支持模型映射,重定向用户的请求模型。 | ||||
| 15. 支持丰富的**自定义**设置, | ||||
| 15. 支持失败自动重试。 | ||||
| 16. 支持绘图接口。 | ||||
| 17. 支持丰富的**自定义**设置, | ||||
|     1. 支持自定义系统名称,logo 以及页脚。 | ||||
|     2. 支持自定义首页和关于页面,可以选择使用 HTML & Markdown 代码进行自定义,或者使用一个单独的网页通过 iframe 嵌入。 | ||||
| 16. 支持通过系统访问令牌访问管理 API。 | ||||
| 17. 支持 Cloudflare Turnstile 用户校验。 | ||||
| 18. 支持用户管理,支持**多种用户登录注册方式**: | ||||
| 18. 支持通过系统访问令牌访问管理 API。 | ||||
| 19. 支持 Cloudflare Turnstile 用户校验。 | ||||
| 20. 支持用户管理,支持**多种用户登录注册方式**: | ||||
|     + 邮箱登录注册以及通过邮箱进行密码重置。 | ||||
|     + [GitHub 开放授权](https://github.com/settings/applications/new)。 | ||||
|     + 微信公众号授权(需要额外部署 [WeChat Server](https://github.com/songquanpeng/wechat-server))。 | ||||
| 19. 未来其他大模型开放 API 后,将第一时间支持,并将其封装成同样的 API 访问方式。 | ||||
| 21. 支持 [ChatGLM](https://github.com/THUDM/ChatGLM2-6B)。 | ||||
| 22. 未来其他大模型开放 API 后,将第一时间支持,并将其封装成同样的 API 访问方式。 | ||||
|  | ||||
| ## 部署 | ||||
| ### 基于 Docker 进行部署 | ||||
| 部署命令:`docker run --name one-api -d --restart always -p 3000:3000 -e TZ=Asia/Shanghai -v /home/ubuntu/data/one-api:/data justsong/one-api` | ||||
|  | ||||
| 如果上面的镜像无法拉取,可以尝试使用 GitHub 的 Docker 镜像,将上面的 `justsong/one-api` 替换为 `ghcr.io/songquanpeng/one-api` 即可。 | ||||
|  | ||||
| 如果你的并发量较大,推荐设置 `SQL_DSN`,详见下面[环境变量](#环境变量)一节。 | ||||
|  | ||||
| 更新命令:`docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower -cR` | ||||
|  | ||||
| `-p 3000:3000` 中的第一个 `3000` 是宿主机的端口,可以根据需要进行修改。 | ||||
| @@ -158,8 +171,8 @@ sudo service nginx restart | ||||
| ### 多机部署 | ||||
| 1. 所有服务器 `SESSION_SECRET` 设置一样的值。 | ||||
| 2. 必须设置 `SQL_DSN`,使用 MySQL 数据库而非 SQLite,所有服务器连接同一个数据库。 | ||||
| 3. 所有从服务器必须设置 `NODE_TYPE` 为 `slave`。 | ||||
| 4. 设置 `SYNC_FREQUENCY` 后服务器将定期从数据库同步配置。 | ||||
| 3. 所有从服务器必须设置 `NODE_TYPE` 为 `slave`,不设置则默认为主服务器。 | ||||
| 4. 设置 `SYNC_FREQUENCY` 后服务器将定期从数据库同步配置,在使用远程数据库的情况下,推荐设置该项并启用 Redis,无论主从。 | ||||
| 5. 从服务器可以选择设置 `FRONTEND_BASE_URL`,以重定向页面请求到主服务器。 | ||||
| 6. 从服务器上**分别**装好 Redis,设置好 `REDIS_CONN_STRING`,这样可以做到在缓存未过期的情况下数据库零访问,可以减少延迟。 | ||||
| 7. 如果主服务器访问数据库延迟也比较高,则也需要启用 Redis,并设置 `SYNC_FREQUENCY`,以定期从数据库同步配置。 | ||||
| @@ -182,7 +195,7 @@ sudo service nginx restart | ||||
| docker run --name chat-next-web -d -p 3001:3000 yidadaa/chatgpt-next-web | ||||
| ``` | ||||
|  | ||||
| 注意修改端口号和 `BASE_URL`。 | ||||
| 注意修改端口号,之后在页面上设置接口地址(例如:https://openai.justsong.cn/ )和 API Key 即可。 | ||||
|  | ||||
| #### ChatGPT Web | ||||
| 项目主页:https://github.com/Chanzhaoyu/chatgpt-web | ||||
| @@ -231,6 +244,8 @@ docker run --name chatgpt-web -d -p 3002:3002 -e OPENAI_API_BASE_URL=https://ope | ||||
|  | ||||
| 等到系统启动后,使用 `root` 用户登录系统并做进一步的配置。 | ||||
|  | ||||
| **Note**:如果你不知道某个配置项的含义,可以临时删掉值以看到进一步的提示文字。 | ||||
|  | ||||
| ## 使用方法 | ||||
| 在`渠道`页面中添加你的 API Key,之后在`令牌`页面中新增访问令牌。 | ||||
|  | ||||
| @@ -261,7 +276,10 @@ graph LR | ||||
|    + 例子:`SESSION_SECRET=random_string` | ||||
| 3. `SQL_DSN`:设置之后将使用指定数据库而非 SQLite,请使用 MySQL 8.0 版本。 | ||||
|    + 例子:`SQL_DSN=root:123456@tcp(localhost:3306)/oneapi` | ||||
| 4. `FRONTEND_BASE_URL`:设置之后将使用指定的前端地址,而非后端地址,仅限从服务器设置。 | ||||
|    + 注意需要提前建立数据库 `oneapi`,无需手动建表,程序将自动建表。 | ||||
|    + 如果使用本地数据库:部署命令可添加 `--network="host"` 以使得容器内的程序可以访问到宿主机上的 MySQL。 | ||||
|    + 如果使用云数据库:如果云服务器需要验证身份,需要在连接参数中添加 `?tls=skip-verify`。 | ||||
| 4. `FRONTEND_BASE_URL`:设置之后将重定向页面请求到指定的地址,仅限从服务器设置。 | ||||
|    + 例子:`FRONTEND_BASE_URL=https://openai.justsong.cn` | ||||
| 5. `SYNC_FREQUENCY`:设置之后将定期与数据库同步配置,单位为秒,未设置则不进行同步。 | ||||
|    + 例子:`SYNC_FREQUENCY=60` | ||||
| @@ -315,7 +333,6 @@ https://openai.justsong.cn | ||||
| [FastGPT](https://github.com/c121914yu/FastGPT): 三分钟搭建 AI 知识库 | ||||
|  | ||||
| ## 注意 | ||||
| 本项目为开源项目,请在遵循 OpenAI 的[使用条款](https://openai.com/policies/terms-of-use)以及**法律法规**的情况下使用,不得用于非法用途。 | ||||
|  | ||||
| 本项目使用 MIT 协议进行开源,**在此基础上**,必须在页面底部保留署名以及指向本项目的链接。如果不想保留署名,必须首先获得授权。 | ||||
|  | ||||
|   | ||||
| @@ -1,13 +1,15 @@ | ||||
| #!/bin/bash | ||||
|  | ||||
| if [ $# -ne 3 ]; then | ||||
|   echo "Usage: time_test.sh <domain> <key> <count>" | ||||
| if [ $# -lt 3 ]; then | ||||
|   echo "Usage: time_test.sh <domain> <key> <count> [<model>]" | ||||
|   exit 1 | ||||
| fi | ||||
|  | ||||
| domain=$1 | ||||
| key=$2 | ||||
| count=$3 | ||||
| model=${4:-"gpt-3.5-turbo"} # 设置默认模型为 gpt-3.5-turbo | ||||
|  | ||||
| total_time=0 | ||||
| times=() | ||||
|  | ||||
| @@ -16,7 +18,7 @@ for ((i=1; i<=count; i++)); do | ||||
|            https://"$domain"/v1/chat/completions \ | ||||
|            -H "Content-Type: application/json" \ | ||||
|            -H "Authorization: Bearer $key" \ | ||||
|            -d '{"messages": [{"content": "echo hi", "role": "user"}], "model": "gpt-3.5-turbo", "stream": false, "max_tokens": 1}') | ||||
|            -d '{"messages": [{"content": "echo hi", "role": "user"}], "model": "'"$model"'", "stream": false, "max_tokens": 1}') | ||||
|   http_code=$(echo "$result" | awk '{print $1}') | ||||
|   time=$(echo "$result" | awk '{print $2}') | ||||
|   echo "HTTP status code: $http_code, Time taken: $time" | ||||
|   | ||||
| @@ -67,6 +67,8 @@ var ChannelDisableThreshold = 5.0 | ||||
| var AutomaticDisableChannelEnabled = false | ||||
| var QuotaRemindThreshold = 1000 | ||||
| var PreConsumedQuota = 500 | ||||
| var ApproximateTokenEnabled = false | ||||
| var RetryTimes = 0 | ||||
|  | ||||
| var RootUserEmail = "" | ||||
|  | ||||
| @@ -149,21 +151,25 @@ const ( | ||||
| 	ChannelTypePaLM      = 11 | ||||
| 	ChannelTypeAPI2GPT   = 12 | ||||
| 	ChannelTypeAIGC2D    = 13 | ||||
| 	ChannelTypeAnthropic = 14 | ||||
| 	ChannelTypeBaidu     = 15 | ||||
| ) | ||||
|  | ||||
| var ChannelBaseURLs = []string{ | ||||
| 	"",                             // 0 | ||||
| 	"https://api.openai.com",       // 1 | ||||
| 	"https://oa.api2d.net",         // 2 | ||||
| 	"",                             // 3 | ||||
| 	"https://api.openai-proxy.org", // 4 | ||||
| 	"https://api.openai-sb.com",    // 5 | ||||
| 	"https://api.openaimax.com",    // 6 | ||||
| 	"https://api.ohmygpt.com",      // 7 | ||||
| 	"",                             // 8 | ||||
| 	"https://api.caipacity.com",    // 9 | ||||
| 	"https://api.aiproxy.io",       // 10 | ||||
| 	"",                             // 11 | ||||
| 	"https://api.api2gpt.com",      // 12 | ||||
| 	"https://api.aigc2d.com",       // 13 | ||||
| 	"",                              // 0 | ||||
| 	"https://api.openai.com",        // 1 | ||||
| 	"https://oa.api2d.net",          // 2 | ||||
| 	"",                              // 3 | ||||
| 	"https://api.closeai-proxy.xyz", // 4 | ||||
| 	"https://api.openai-sb.com",     // 5 | ||||
| 	"https://api.openaimax.com",     // 6 | ||||
| 	"https://api.ohmygpt.com",       // 7 | ||||
| 	"",                              // 8 | ||||
| 	"https://api.caipacity.com",     // 9 | ||||
| 	"https://api.aiproxy.io",        // 10 | ||||
| 	"",                              // 11 | ||||
| 	"https://api.api2gpt.com",       // 12 | ||||
| 	"https://api.aigc2d.com",        // 13 | ||||
| 	"https://api.anthropic.com",     // 14 | ||||
| 	"https://aip.baidubce.com",      // 15 | ||||
| } | ||||
|   | ||||
| @@ -4,6 +4,7 @@ import "encoding/json" | ||||
|  | ||||
| // ModelRatio | ||||
| // https://platform.openai.com/docs/models/model-endpoint-compatibility | ||||
| // https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf | ||||
| // https://openai.com/pricing | ||||
| // TODO: when a new api is enabled, check the pricing here | ||||
| // 1 === $0.002 / 1K tokens | ||||
| @@ -35,6 +36,12 @@ var ModelRatio = map[string]float64{ | ||||
| 	"text-search-ada-doc-001": 10, | ||||
| 	"text-moderation-stable":  0.1, | ||||
| 	"text-moderation-latest":  0.1, | ||||
| 	"dall-e":                  8, | ||||
| 	"claude-instant-1":        0.75, | ||||
| 	"claude-2":                30, | ||||
| 	"ERNIE-Bot":               1,    // 0.012元/千tokens | ||||
| 	"ERNIE-Bot-turbo":         0.67, // 0.008元/千tokens | ||||
| 	"PaLM-2":                  1, | ||||
| } | ||||
|  | ||||
| func ModelRatio2JSONString() string { | ||||
|   | ||||
| @@ -7,16 +7,19 @@ import ( | ||||
| ) | ||||
|  | ||||
| func GetSubscription(c *gin.Context) { | ||||
| 	var quota int | ||||
| 	var remainQuota int | ||||
| 	var usedQuota int | ||||
| 	var err error | ||||
| 	var token *model.Token | ||||
| 	if common.DisplayTokenStatEnabled { | ||||
| 		tokenId := c.GetInt("token_id") | ||||
| 		token, err = model.GetTokenById(tokenId) | ||||
| 		quota = token.RemainQuota | ||||
| 		remainQuota = token.RemainQuota | ||||
| 		usedQuota = token.UsedQuota | ||||
| 	} else { | ||||
| 		userId := c.GetInt("id") | ||||
| 		quota, err = model.GetUserQuota(userId) | ||||
| 		remainQuota, err = model.GetUserQuota(userId) | ||||
| 		usedQuota, err = model.GetUserUsedQuota(userId) | ||||
| 	} | ||||
| 	if err != nil { | ||||
| 		openAIError := OpenAIError{ | ||||
| @@ -28,6 +31,7 @@ func GetSubscription(c *gin.Context) { | ||||
| 		}) | ||||
| 		return | ||||
| 	} | ||||
| 	quota := remainQuota + usedQuota | ||||
| 	amount := float64(quota) | ||||
| 	if common.DisplayInCurrencyEnabled { | ||||
| 		amount /= common.QuotaPerUnit | ||||
|   | ||||
| @@ -32,6 +32,13 @@ type OpenAIUsageDailyCost struct { | ||||
| 	} | ||||
| } | ||||
|  | ||||
| type OpenAICreditGrants struct { | ||||
| 	Object         string  `json:"object"` | ||||
| 	TotalGranted   float64 `json:"total_granted"` | ||||
| 	TotalUsed      float64 `json:"total_used"` | ||||
| 	TotalAvailable float64 `json:"total_available"` | ||||
| } | ||||
|  | ||||
| type OpenAIUsageResponse struct { | ||||
| 	Object string `json:"object"` | ||||
| 	//DailyCosts []OpenAIUsageDailyCost `json:"daily_costs"` | ||||
| @@ -100,6 +107,22 @@ func GetResponseBody(method, url string, channel *model.Channel, headers http.He | ||||
| 	return body, nil | ||||
| } | ||||
|  | ||||
| func updateChannelCloseAIBalance(channel *model.Channel) (float64, error) { | ||||
| 	url := fmt.Sprintf("%s/dashboard/billing/credit_grants", channel.BaseURL) | ||||
| 	body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key)) | ||||
|  | ||||
| 	if err != nil { | ||||
| 		return 0, err | ||||
| 	} | ||||
| 	response := OpenAICreditGrants{} | ||||
| 	err = json.Unmarshal(body, &response) | ||||
| 	if err != nil { | ||||
| 		return 0, err | ||||
| 	} | ||||
| 	channel.UpdateBalance(response.TotalAvailable) | ||||
| 	return response.TotalAvailable, nil | ||||
| } | ||||
|  | ||||
| func updateChannelOpenAISBBalance(channel *model.Channel) (float64, error) { | ||||
| 	url := fmt.Sprintf("https://api.openai-sb.com/sb-api/user/status?api_key=%s", channel.Key) | ||||
| 	body, err := GetResponseBody("GET", url, channel, GetAuthHeader(channel.Key)) | ||||
| @@ -175,6 +198,9 @@ func updateChannelAIGC2DBalance(channel *model.Channel) (float64, error) { | ||||
|  | ||||
| func updateChannelBalance(channel *model.Channel) (float64, error) { | ||||
| 	baseURL := common.ChannelBaseURLs[channel.Type] | ||||
| 	if channel.BaseURL == "" { | ||||
| 		channel.BaseURL = baseURL | ||||
| 	} | ||||
| 	switch channel.Type { | ||||
| 	case common.ChannelTypeOpenAI: | ||||
| 		if channel.BaseURL != "" { | ||||
| @@ -184,6 +210,8 @@ func updateChannelBalance(channel *model.Channel) (float64, error) { | ||||
| 		return 0, errors.New("尚未实现") | ||||
| 	case common.ChannelTypeCustom: | ||||
| 		baseURL = channel.BaseURL | ||||
| 	case common.ChannelTypeCloseAI: | ||||
| 		return updateChannelCloseAIBalance(channel) | ||||
| 	case common.ChannelTypeOpenAISB: | ||||
| 		return updateChannelOpenAISBBalance(channel) | ||||
| 	case common.ChannelTypeAIProxy: | ||||
|   | ||||
| @@ -14,7 +14,7 @@ import ( | ||||
| 	"time" | ||||
| ) | ||||
|  | ||||
| func testChannel(channel *model.Channel, request ChatRequest) error { | ||||
| func testChannel(channel *model.Channel, request ChatRequest) (error, *OpenAIError) { | ||||
| 	switch channel.Type { | ||||
| 	case common.ChannelTypeAzure: | ||||
| 		request.Model = "gpt-35-turbo" | ||||
| @@ -33,11 +33,11 @@ func testChannel(channel *model.Channel, request ChatRequest) error { | ||||
|  | ||||
| 	jsonData, err := json.Marshal(request) | ||||
| 	if err != nil { | ||||
| 		return err | ||||
| 		return err, nil | ||||
| 	} | ||||
| 	req, err := http.NewRequest("POST", requestURL, bytes.NewBuffer(jsonData)) | ||||
| 	if err != nil { | ||||
| 		return err | ||||
| 		return err, nil | ||||
| 	} | ||||
| 	if channel.Type == common.ChannelTypeAzure { | ||||
| 		req.Header.Set("api-key", channel.Key) | ||||
| @@ -48,18 +48,18 @@ func testChannel(channel *model.Channel, request ChatRequest) error { | ||||
| 	client := &http.Client{} | ||||
| 	resp, err := client.Do(req) | ||||
| 	if err != nil { | ||||
| 		return err | ||||
| 		return err, nil | ||||
| 	} | ||||
| 	defer resp.Body.Close() | ||||
| 	var response TextResponse | ||||
| 	err = json.NewDecoder(resp.Body).Decode(&response) | ||||
| 	if err != nil { | ||||
| 		return err | ||||
| 		return err, nil | ||||
| 	} | ||||
| 	if response.Usage.CompletionTokens == 0 { | ||||
| 		return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)) | ||||
| 		return errors.New(fmt.Sprintf("type %s, code %v, message %s", response.Error.Type, response.Error.Code, response.Error.Message)), &response.Error | ||||
| 	} | ||||
| 	return nil | ||||
| 	return nil, nil | ||||
| } | ||||
|  | ||||
| func buildTestRequest() *ChatRequest { | ||||
| @@ -94,7 +94,7 @@ func TestChannel(c *gin.Context) { | ||||
| 	} | ||||
| 	testRequest := buildTestRequest() | ||||
| 	tik := time.Now() | ||||
| 	err = testChannel(channel, *testRequest) | ||||
| 	err, _ = testChannel(channel, *testRequest) | ||||
| 	tok := time.Now() | ||||
| 	milliseconds := tok.Sub(tik).Milliseconds() | ||||
| 	go channel.UpdateResponseTime(milliseconds) | ||||
| @@ -158,13 +158,14 @@ func testAllChannels(notify bool) error { | ||||
| 				continue | ||||
| 			} | ||||
| 			tik := time.Now() | ||||
| 			err := testChannel(channel, *testRequest) | ||||
| 			err, openaiErr := testChannel(channel, *testRequest) | ||||
| 			tok := time.Now() | ||||
| 			milliseconds := tok.Sub(tik).Milliseconds() | ||||
| 			if err != nil || milliseconds > disableThreshold { | ||||
| 				if milliseconds > disableThreshold { | ||||
| 					err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0)) | ||||
| 				} | ||||
| 			if milliseconds > disableThreshold { | ||||
| 				err = errors.New(fmt.Sprintf("响应时间 %.2fs 超过阈值 %.2fs", float64(milliseconds)/1000.0, float64(disableThreshold)/1000.0)) | ||||
| 				disableChannel(channel.Id, channel.Name, err.Error()) | ||||
| 			} | ||||
| 			if shouldDisableChannel(openaiErr) { | ||||
| 				disableChannel(channel.Id, channel.Name, err.Error()) | ||||
| 			} | ||||
| 			channel.UpdateResponseTime(milliseconds) | ||||
|   | ||||
| @@ -2,6 +2,7 @@ package controller | ||||
|  | ||||
| import ( | ||||
| 	"fmt" | ||||
|  | ||||
| 	"github.com/gin-gonic/gin" | ||||
| ) | ||||
|  | ||||
| @@ -53,6 +54,15 @@ func init() { | ||||
| 	}) | ||||
| 	// https://platform.openai.com/docs/models/model-endpoint-compatibility | ||||
| 	openAIModels = []OpenAIModels{ | ||||
| 		{ | ||||
| 			Id:         "dall-e", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "openai", | ||||
| 			Permission: permission, | ||||
| 			Root:       "dall-e", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "gpt-3.5-turbo", | ||||
| 			Object:     "model", | ||||
| @@ -242,6 +252,69 @@ func init() { | ||||
| 			Root:       "code-davinci-edit-001", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "ChatGLM", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "thudm", | ||||
| 			Permission: permission, | ||||
| 			Root:       "ChatGLM", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "ChatGLM2", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "thudm", | ||||
| 			Permission: permission, | ||||
| 			Root:       "ChatGLM2", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "claude-instant-1", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "anturopic", | ||||
| 			Permission: permission, | ||||
| 			Root:       "claude-instant-1", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "claude-2", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "anturopic", | ||||
| 			Permission: permission, | ||||
| 			Root:       "claude-2", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "ERNIE-Bot", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "baidu", | ||||
| 			Permission: permission, | ||||
| 			Root:       "ERNIE-Bot", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "ERNIE-Bot-turbo", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "baidu", | ||||
| 			Permission: permission, | ||||
| 			Root:       "ERNIE-Bot-turbo", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 		{ | ||||
| 			Id:         "PaLM-2", | ||||
| 			Object:     "model", | ||||
| 			Created:    1677649963, | ||||
| 			OwnedBy:    "google", | ||||
| 			Permission: permission, | ||||
| 			Root:       "PaLM-2", | ||||
| 			Parent:     nil, | ||||
| 		}, | ||||
| 	} | ||||
| 	openAIModelsMap = make(map[string]OpenAIModels) | ||||
| 	for _, model := range openAIModels { | ||||
|   | ||||
							
								
								
									
										203
									
								
								controller/relay-baidu.go
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										203
									
								
								controller/relay-baidu.go
									
									
									
									
									
										Normal file
									
								
							| @@ -0,0 +1,203 @@ | ||||
| package controller | ||||
|  | ||||
| import ( | ||||
| 	"bufio" | ||||
| 	"encoding/json" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"io" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| 	"strings" | ||||
| ) | ||||
|  | ||||
| // https://cloud.baidu.com/doc/WENXINWORKSHOP/s/flfmc9do2 | ||||
|  | ||||
| type BaiduTokenResponse struct { | ||||
| 	RefreshToken  string `json:"refresh_token"` | ||||
| 	ExpiresIn     int    `json:"expires_in"` | ||||
| 	SessionKey    string `json:"session_key"` | ||||
| 	AccessToken   string `json:"access_token"` | ||||
| 	Scope         string `json:"scope"` | ||||
| 	SessionSecret string `json:"session_secret"` | ||||
| } | ||||
|  | ||||
| type BaiduMessage struct { | ||||
| 	Role    string `json:"role"` | ||||
| 	Content string `json:"content"` | ||||
| } | ||||
|  | ||||
| type BaiduChatRequest struct { | ||||
| 	Messages []BaiduMessage `json:"messages"` | ||||
| 	Stream   bool           `json:"stream"` | ||||
| 	UserId   string         `json:"user_id,omitempty"` | ||||
| } | ||||
|  | ||||
| type BaiduError struct { | ||||
| 	ErrorCode int    `json:"error_code"` | ||||
| 	ErrorMsg  string `json:"error_msg"` | ||||
| } | ||||
|  | ||||
| type BaiduChatResponse struct { | ||||
| 	Id               string `json:"id"` | ||||
| 	Object           string `json:"object"` | ||||
| 	Created          int64  `json:"created"` | ||||
| 	Result           string `json:"result"` | ||||
| 	IsTruncated      bool   `json:"is_truncated"` | ||||
| 	NeedClearHistory bool   `json:"need_clear_history"` | ||||
| 	Usage            Usage  `json:"usage"` | ||||
| 	BaiduError | ||||
| } | ||||
|  | ||||
| type BaiduChatStreamResponse struct { | ||||
| 	BaiduChatResponse | ||||
| 	SentenceId int  `json:"sentence_id"` | ||||
| 	IsEnd      bool `json:"is_end"` | ||||
| } | ||||
|  | ||||
| func requestOpenAI2Baidu(request GeneralOpenAIRequest) *BaiduChatRequest { | ||||
| 	messages := make([]BaiduMessage, 0, len(request.Messages)) | ||||
| 	for _, message := range request.Messages { | ||||
| 		messages = append(messages, BaiduMessage{ | ||||
| 			Role:    message.Role, | ||||
| 			Content: message.Content, | ||||
| 		}) | ||||
| 	} | ||||
| 	return &BaiduChatRequest{ | ||||
| 		Messages: messages, | ||||
| 		Stream:   request.Stream, | ||||
| 	} | ||||
| } | ||||
|  | ||||
| func responseBaidu2OpenAI(response *BaiduChatResponse) *OpenAITextResponse { | ||||
| 	choice := OpenAITextResponseChoice{ | ||||
| 		Index: 0, | ||||
| 		Message: Message{ | ||||
| 			Role:    "assistant", | ||||
| 			Content: response.Result, | ||||
| 		}, | ||||
| 		FinishReason: "stop", | ||||
| 	} | ||||
| 	fullTextResponse := OpenAITextResponse{ | ||||
| 		Id:      response.Id, | ||||
| 		Object:  "chat.completion", | ||||
| 		Created: response.Created, | ||||
| 		Choices: []OpenAITextResponseChoice{choice}, | ||||
| 		Usage:   response.Usage, | ||||
| 	} | ||||
| 	return &fullTextResponse | ||||
| } | ||||
|  | ||||
| func streamResponseBaidu2OpenAI(baiduResponse *BaiduChatStreamResponse) *ChatCompletionsStreamResponse { | ||||
| 	var choice ChatCompletionsStreamResponseChoice | ||||
| 	choice.Delta.Content = baiduResponse.Result | ||||
| 	choice.FinishReason = "stop" | ||||
| 	response := ChatCompletionsStreamResponse{ | ||||
| 		Id:      baiduResponse.Id, | ||||
| 		Object:  "chat.completion.chunk", | ||||
| 		Created: baiduResponse.Created, | ||||
| 		Model:   "ernie-bot", | ||||
| 		Choices: []ChatCompletionsStreamResponseChoice{choice}, | ||||
| 	} | ||||
| 	return &response | ||||
| } | ||||
|  | ||||
| func baiduStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) { | ||||
| 	var usage Usage | ||||
| 	scanner := bufio.NewScanner(resp.Body) | ||||
| 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) { | ||||
| 		if atEOF && len(data) == 0 { | ||||
| 			return 0, nil, nil | ||||
| 		} | ||||
| 		if i := strings.Index(string(data), "\n"); i >= 0 { | ||||
| 			return i + 1, data[0:i], nil | ||||
| 		} | ||||
| 		if atEOF { | ||||
| 			return len(data), data, nil | ||||
| 		} | ||||
| 		return 0, nil, nil | ||||
| 	}) | ||||
| 	dataChan := make(chan string) | ||||
| 	stopChan := make(chan bool) | ||||
| 	go func() { | ||||
| 		for scanner.Scan() { | ||||
| 			data := scanner.Text() | ||||
| 			if len(data) < 6 { // ignore blank line or wrong format | ||||
| 				continue | ||||
| 			} | ||||
| 			data = data[6:] | ||||
| 			dataChan <- data | ||||
| 		} | ||||
| 		stopChan <- true | ||||
| 	}() | ||||
| 	c.Writer.Header().Set("Content-Type", "text/event-stream") | ||||
| 	c.Writer.Header().Set("Cache-Control", "no-cache") | ||||
| 	c.Writer.Header().Set("Connection", "keep-alive") | ||||
| 	c.Writer.Header().Set("Transfer-Encoding", "chunked") | ||||
| 	c.Writer.Header().Set("X-Accel-Buffering", "no") | ||||
| 	c.Stream(func(w io.Writer) bool { | ||||
| 		select { | ||||
| 		case data := <-dataChan: | ||||
| 			var baiduResponse BaiduChatStreamResponse | ||||
| 			err := json.Unmarshal([]byte(data), &baiduResponse) | ||||
| 			if err != nil { | ||||
| 				common.SysError("error unmarshalling stream response: " + err.Error()) | ||||
| 				return true | ||||
| 			} | ||||
| 			usage.PromptTokens += baiduResponse.Usage.PromptTokens | ||||
| 			usage.CompletionTokens += baiduResponse.Usage.CompletionTokens | ||||
| 			usage.TotalTokens += baiduResponse.Usage.TotalTokens | ||||
| 			response := streamResponseBaidu2OpenAI(&baiduResponse) | ||||
| 			jsonResponse, err := json.Marshal(response) | ||||
| 			if err != nil { | ||||
| 				common.SysError("error marshalling stream response: " + err.Error()) | ||||
| 				return true | ||||
| 			} | ||||
| 			c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonResponse)}) | ||||
| 			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), nil | ||||
| 	} | ||||
| 	return nil, &usage | ||||
| } | ||||
|  | ||||
| func baiduHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, *Usage) { | ||||
| 	var baiduResponse BaiduChatResponse | ||||
| 	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 | ||||
| 	} | ||||
| 	err = json.Unmarshal(responseBody, &baiduResponse) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil | ||||
| 	} | ||||
| 	if baiduResponse.ErrorMsg != "" { | ||||
| 		return &OpenAIErrorWithStatusCode{ | ||||
| 			OpenAIError: OpenAIError{ | ||||
| 				Message: baiduResponse.ErrorMsg, | ||||
| 				Type:    "baidu_error", | ||||
| 				Param:   "", | ||||
| 				Code:    baiduResponse.ErrorCode, | ||||
| 			}, | ||||
| 			StatusCode: resp.StatusCode, | ||||
| 		}, nil | ||||
| 	} | ||||
| 	fullTextResponse := responseBaidu2OpenAI(&baiduResponse) | ||||
| 	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, &fullTextResponse.Usage | ||||
| } | ||||
							
								
								
									
										221
									
								
								controller/relay-claude.go
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										221
									
								
								controller/relay-claude.go
									
									
									
									
									
										Normal file
									
								
							| @@ -0,0 +1,221 @@ | ||||
| package controller | ||||
|  | ||||
| import ( | ||||
| 	"bufio" | ||||
| 	"encoding/json" | ||||
| 	"fmt" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"io" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| 	"strings" | ||||
| ) | ||||
|  | ||||
| type ClaudeMetadata struct { | ||||
| 	UserId string `json:"user_id"` | ||||
| } | ||||
|  | ||||
| type ClaudeRequest struct { | ||||
| 	Model             string   `json:"model"` | ||||
| 	Prompt            string   `json:"prompt"` | ||||
| 	MaxTokensToSample int      `json:"max_tokens_to_sample"` | ||||
| 	StopSequences     []string `json:"stop_sequences,omitempty"` | ||||
| 	Temperature       float64  `json:"temperature,omitempty"` | ||||
| 	TopP              float64  `json:"top_p,omitempty"` | ||||
| 	TopK              int      `json:"top_k,omitempty"` | ||||
| 	//ClaudeMetadata    `json:"metadata,omitempty"` | ||||
| 	Stream bool `json:"stream,omitempty"` | ||||
| } | ||||
|  | ||||
| type ClaudeError struct { | ||||
| 	Type    string `json:"type"` | ||||
| 	Message string `json:"message"` | ||||
| } | ||||
|  | ||||
| type ClaudeResponse struct { | ||||
| 	Completion string      `json:"completion"` | ||||
| 	StopReason string      `json:"stop_reason"` | ||||
| 	Model      string      `json:"model"` | ||||
| 	Error      ClaudeError `json:"error"` | ||||
| } | ||||
|  | ||||
| func stopReasonClaude2OpenAI(reason string) string { | ||||
| 	switch reason { | ||||
| 	case "stop_sequence": | ||||
| 		return "stop" | ||||
| 	case "max_tokens": | ||||
| 		return "length" | ||||
| 	default: | ||||
| 		return reason | ||||
| 	} | ||||
| } | ||||
|  | ||||
| func requestOpenAI2Claude(textRequest GeneralOpenAIRequest) *ClaudeRequest { | ||||
| 	claudeRequest := ClaudeRequest{ | ||||
| 		Model:             textRequest.Model, | ||||
| 		Prompt:            "", | ||||
| 		MaxTokensToSample: textRequest.MaxTokens, | ||||
| 		StopSequences:     nil, | ||||
| 		Temperature:       textRequest.Temperature, | ||||
| 		TopP:              textRequest.TopP, | ||||
| 		Stream:            textRequest.Stream, | ||||
| 	} | ||||
| 	if claudeRequest.MaxTokensToSample == 0 { | ||||
| 		claudeRequest.MaxTokensToSample = 1000000 | ||||
| 	} | ||||
| 	prompt := "" | ||||
| 	for _, message := range textRequest.Messages { | ||||
| 		if message.Role == "user" { | ||||
| 			prompt += fmt.Sprintf("\n\nHuman: %s", message.Content) | ||||
| 		} else if message.Role == "assistant" { | ||||
| 			prompt += fmt.Sprintf("\n\nAssistant: %s", message.Content) | ||||
| 		} else { | ||||
| 			// ignore other roles | ||||
| 		} | ||||
| 		prompt += "\n\nAssistant:" | ||||
| 	} | ||||
| 	claudeRequest.Prompt = prompt | ||||
| 	return &claudeRequest | ||||
| } | ||||
|  | ||||
| func streamResponseClaude2OpenAI(claudeResponse *ClaudeResponse) *ChatCompletionsStreamResponse { | ||||
| 	var choice ChatCompletionsStreamResponseChoice | ||||
| 	choice.Delta.Content = claudeResponse.Completion | ||||
| 	choice.FinishReason = stopReasonClaude2OpenAI(claudeResponse.StopReason) | ||||
| 	var response ChatCompletionsStreamResponse | ||||
| 	response.Object = "chat.completion.chunk" | ||||
| 	response.Model = claudeResponse.Model | ||||
| 	response.Choices = []ChatCompletionsStreamResponseChoice{choice} | ||||
| 	return &response | ||||
| } | ||||
|  | ||||
| func responseClaude2OpenAI(claudeResponse *ClaudeResponse) *OpenAITextResponse { | ||||
| 	choice := OpenAITextResponseChoice{ | ||||
| 		Index: 0, | ||||
| 		Message: Message{ | ||||
| 			Role:    "assistant", | ||||
| 			Content: strings.TrimPrefix(claudeResponse.Completion, " "), | ||||
| 			Name:    nil, | ||||
| 		}, | ||||
| 		FinishReason: stopReasonClaude2OpenAI(claudeResponse.StopReason), | ||||
| 	} | ||||
| 	fullTextResponse := OpenAITextResponse{ | ||||
| 		Id:      fmt.Sprintf("chatcmpl-%s", common.GetUUID()), | ||||
| 		Object:  "chat.completion", | ||||
| 		Created: common.GetTimestamp(), | ||||
| 		Choices: []OpenAITextResponseChoice{choice}, | ||||
| 	} | ||||
| 	return &fullTextResponse | ||||
| } | ||||
|  | ||||
| func claudeStreamHandler(c *gin.Context, resp *http.Response) (*OpenAIErrorWithStatusCode, string) { | ||||
| 	responseText := "" | ||||
| 	responseId := fmt.Sprintf("chatcmpl-%s", common.GetUUID()) | ||||
| 	createdTime := common.GetTimestamp() | ||||
| 	scanner := bufio.NewScanner(resp.Body) | ||||
| 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) { | ||||
| 		if atEOF && len(data) == 0 { | ||||
| 			return 0, nil, nil | ||||
| 		} | ||||
| 		if i := strings.Index(string(data), "\r\n\r\n"); i >= 0 { | ||||
| 			return i + 4, data[0:i], nil | ||||
| 		} | ||||
| 		if atEOF { | ||||
| 			return len(data), data, nil | ||||
| 		} | ||||
| 		return 0, nil, nil | ||||
| 	}) | ||||
| 	dataChan := make(chan string) | ||||
| 	stopChan := make(chan bool) | ||||
| 	go func() { | ||||
| 		for scanner.Scan() { | ||||
| 			data := scanner.Text() | ||||
| 			if !strings.HasPrefix(data, "event: completion") { | ||||
| 				continue | ||||
| 			} | ||||
| 			data = strings.TrimPrefix(data, "event: completion\r\ndata: ") | ||||
| 			dataChan <- data | ||||
| 		} | ||||
| 		stopChan <- true | ||||
| 	}() | ||||
| 	c.Writer.Header().Set("Content-Type", "text/event-stream") | ||||
| 	c.Writer.Header().Set("Cache-Control", "no-cache") | ||||
| 	c.Writer.Header().Set("Connection", "keep-alive") | ||||
| 	c.Writer.Header().Set("Transfer-Encoding", "chunked") | ||||
| 	c.Writer.Header().Set("X-Accel-Buffering", "no") | ||||
| 	c.Stream(func(w io.Writer) bool { | ||||
| 		select { | ||||
| 		case data := <-dataChan: | ||||
| 			// some implementations may add \r at the end of data | ||||
| 			data = strings.TrimSuffix(data, "\r") | ||||
| 			var claudeResponse ClaudeResponse | ||||
| 			err := json.Unmarshal([]byte(data), &claudeResponse) | ||||
| 			if err != nil { | ||||
| 				common.SysError("error unmarshalling stream response: " + err.Error()) | ||||
| 				return true | ||||
| 			} | ||||
| 			responseText += claudeResponse.Completion | ||||
| 			response := streamResponseClaude2OpenAI(&claudeResponse) | ||||
| 			response.Id = responseId | ||||
| 			response.Created = createdTime | ||||
| 			jsonStr, err := json.Marshal(response) | ||||
| 			if err != nil { | ||||
| 				common.SysError("error marshalling stream response: " + err.Error()) | ||||
| 				return true | ||||
| 			} | ||||
| 			c.Render(-1, common.CustomEvent{Data: "data: " + string(jsonStr)}) | ||||
| 			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 claudeHandler(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 claudeResponse ClaudeResponse | ||||
| 	err = json.Unmarshal(responseBody, &claudeResponse) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil | ||||
| 	} | ||||
| 	if claudeResponse.Error.Type != "" { | ||||
| 		return &OpenAIErrorWithStatusCode{ | ||||
| 			OpenAIError: OpenAIError{ | ||||
| 				Message: claudeResponse.Error.Message, | ||||
| 				Type:    claudeResponse.Error.Type, | ||||
| 				Param:   "", | ||||
| 				Code:    claudeResponse.Error.Type, | ||||
| 			}, | ||||
| 			StatusCode: resp.StatusCode, | ||||
| 		}, nil | ||||
| 	} | ||||
| 	fullTextResponse := responseClaude2OpenAI(&claudeResponse) | ||||
| 	completionTokens := countTokenText(claudeResponse.Completion, 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 | ||||
| } | ||||
| @@ -1,34 +1,181 @@ | ||||
| package controller | ||||
|  | ||||
| import ( | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"bytes" | ||||
| 	"encoding/json" | ||||
| 	"errors" | ||||
| 	"fmt" | ||||
| 	"io" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| 	"one-api/model" | ||||
|  | ||||
| 	"github.com/gin-gonic/gin" | ||||
| ) | ||||
|  | ||||
| func relayImageHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { | ||||
| 	// TODO: this part is not finished | ||||
| 	req, err := http.NewRequest(c.Request.Method, c.Request.RequestURI, c.Request.Body) | ||||
| 	imageModel := "dall-e" | ||||
|  | ||||
| 	tokenId := c.GetInt("token_id") | ||||
| 	channelType := c.GetInt("channel") | ||||
| 	userId := c.GetInt("id") | ||||
| 	consumeQuota := c.GetBool("consume_quota") | ||||
| 	group := c.GetString("group") | ||||
|  | ||||
| 	var imageRequest ImageRequest | ||||
| 	if consumeQuota { | ||||
| 		err := common.UnmarshalBodyReusable(c, &imageRequest) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "bind_request_body_failed", http.StatusBadRequest) | ||||
| 		} | ||||
| 	} | ||||
|  | ||||
| 	// Prompt validation | ||||
| 	if imageRequest.Prompt == "" { | ||||
| 		return errorWrapper(errors.New("prompt is required"), "required_field_missing", http.StatusBadRequest) | ||||
| 	} | ||||
|  | ||||
| 	// Not "256x256", "512x512", or "1024x1024" | ||||
| 	if imageRequest.Size != "" && imageRequest.Size != "256x256" && imageRequest.Size != "512x512" && imageRequest.Size != "1024x1024" { | ||||
| 		return errorWrapper(errors.New("size must be one of 256x256, 512x512, or 1024x1024"), "invalid_field_value", http.StatusBadRequest) | ||||
| 	} | ||||
|  | ||||
| 	// N should between 1 and 10 | ||||
| 	if imageRequest.N != 0 && (imageRequest.N < 1 || imageRequest.N > 10) { | ||||
| 		return errorWrapper(errors.New("n must be between 1 and 10"), "invalid_field_value", http.StatusBadRequest) | ||||
| 	} | ||||
|  | ||||
| 	// map model name | ||||
| 	modelMapping := c.GetString("model_mapping") | ||||
| 	isModelMapped := false | ||||
| 	if modelMapping != "" { | ||||
| 		modelMap := make(map[string]string) | ||||
| 		err := json.Unmarshal([]byte(modelMapping), &modelMap) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "unmarshal_model_mapping_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		if modelMap[imageModel] != "" { | ||||
| 			imageModel = modelMap[imageModel] | ||||
| 			isModelMapped = true | ||||
| 		} | ||||
| 	} | ||||
|  | ||||
| 	baseURL := common.ChannelBaseURLs[channelType] | ||||
| 	requestURL := c.Request.URL.String() | ||||
|  | ||||
| 	if c.GetString("base_url") != "" { | ||||
| 		baseURL = c.GetString("base_url") | ||||
| 	} | ||||
|  | ||||
| 	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL) | ||||
|  | ||||
| 	var requestBody io.Reader | ||||
| 	if isModelMapped { | ||||
| 		jsonStr, err := json.Marshal(imageRequest) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		requestBody = bytes.NewBuffer(jsonStr) | ||||
| 	} else { | ||||
| 		requestBody = c.Request.Body | ||||
| 	} | ||||
|  | ||||
| 	modelRatio := common.GetModelRatio(imageModel) | ||||
| 	groupRatio := common.GetGroupRatio(group) | ||||
| 	ratio := modelRatio * groupRatio | ||||
| 	userQuota, err := model.CacheGetUserQuota(userId) | ||||
|  | ||||
| 	sizeRatio := 1.0 | ||||
| 	// Size | ||||
| 	if imageRequest.Size == "256x256" { | ||||
| 		sizeRatio = 1 | ||||
| 	} else if imageRequest.Size == "512x512" { | ||||
| 		sizeRatio = 1.125 | ||||
| 	} else if imageRequest.Size == "1024x1024" { | ||||
| 		sizeRatio = 1.25 | ||||
| 	} | ||||
| 	quota := int(ratio*sizeRatio*1000) * imageRequest.N | ||||
|  | ||||
| 	if consumeQuota && userQuota-quota < 0 { | ||||
| 		return errorWrapper(err, "insufficient_user_quota", http.StatusForbidden) | ||||
| 	} | ||||
|  | ||||
| 	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "new_request_failed", http.StatusInternalServerError) | ||||
| 	} | ||||
| 	req.Header.Set("Authorization", c.Request.Header.Get("Authorization")) | ||||
|  | ||||
| 	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type")) | ||||
| 	req.Header.Set("Accept", c.Request.Header.Get("Accept")) | ||||
|  | ||||
| 	client := &http.Client{} | ||||
| 	resp, err := client.Do(req) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "do_request_failed", http.StatusOK) | ||||
| 		return errorWrapper(err, "do_request_failed", http.StatusInternalServerError) | ||||
| 	} | ||||
|  | ||||
| 	err = req.Body.Close() | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "close_request_body_failed", http.StatusOK) | ||||
| 		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError) | ||||
| 	} | ||||
| 	err = c.Request.Body.Close() | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "close_request_body_failed", http.StatusInternalServerError) | ||||
| 	} | ||||
| 	var textResponse ImageResponse | ||||
|  | ||||
| 	defer func() { | ||||
| 		if consumeQuota { | ||||
| 			err := model.PostConsumeTokenQuota(tokenId, quota) | ||||
| 			if err != nil { | ||||
| 				common.SysError("error consuming token remain quota: " + err.Error()) | ||||
| 			} | ||||
| 			err = model.CacheUpdateUserQuota(userId) | ||||
| 			if err != nil { | ||||
| 				common.SysError("error update user quota cache: " + err.Error()) | ||||
| 			} | ||||
| 			if quota != 0 { | ||||
| 				tokenName := c.GetString("token_name") | ||||
| 				logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f", modelRatio, groupRatio) | ||||
| 				model.RecordConsumeLog(userId, 0, 0, imageModel, tokenName, quota, logContent) | ||||
| 				model.UpdateUserUsedQuotaAndRequestCount(userId, quota) | ||||
| 				channelId := c.GetInt("channel_id") | ||||
| 				model.UpdateChannelUsedQuota(channelId, quota) | ||||
| 			} | ||||
| 		} | ||||
| 	}() | ||||
|  | ||||
| 	if consumeQuota { | ||||
| 		responseBody, err := io.ReadAll(resp.Body) | ||||
|  | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		err = resp.Body.Close() | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		err = json.Unmarshal(responseBody, &textResponse) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
|  | ||||
| 		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody)) | ||||
| 	} | ||||
|  | ||||
| 	for k, v := range resp.Header { | ||||
| 		c.Writer.Header().Set(k, v[0]) | ||||
| 	} | ||||
| 	c.Writer.WriteHeader(resp.StatusCode) | ||||
|  | ||||
| 	_, err = io.Copy(c.Writer, resp.Body) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "copy_response_body_failed", http.StatusOK) | ||||
| 		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError) | ||||
| 	} | ||||
| 	err = resp.Body.Close() | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "close_response_body_failed", http.StatusOK) | ||||
| 		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError) | ||||
| 	} | ||||
| 	return nil | ||||
| } | ||||
|   | ||||
							
								
								
									
										133
									
								
								controller/relay-openai.go
									
									
									
									
									
										Normal file
									
								
							
							
						
						
									
										133
									
								
								controller/relay-openai.go
									
									
									
									
									
										Normal file
									
								
							| @@ -0,0 +1,133 @@ | ||||
| package controller | ||||
|  | ||||
| import ( | ||||
| 	"bufio" | ||||
| 	"bytes" | ||||
| 	"encoding/json" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"io" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| 	"strings" | ||||
| ) | ||||
|  | ||||
| func openaiStreamHandler(c *gin.Context, resp *http.Response, relayMode int) (*OpenAIErrorWithStatusCode, string) { | ||||
| 	responseText := "" | ||||
| 	scanner := bufio.NewScanner(resp.Body) | ||||
| 	scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) { | ||||
| 		if atEOF && len(data) == 0 { | ||||
| 			return 0, nil, nil | ||||
| 		} | ||||
| 		if i := strings.Index(string(data), "\n"); i >= 0 { | ||||
| 			return i + 1, data[0:i], nil | ||||
| 		} | ||||
| 		if atEOF { | ||||
| 			return len(data), data, nil | ||||
| 		} | ||||
| 		return 0, nil, nil | ||||
| 	}) | ||||
| 	dataChan := make(chan string) | ||||
| 	stopChan := make(chan bool) | ||||
| 	go func() { | ||||
| 		for scanner.Scan() { | ||||
| 			data := scanner.Text() | ||||
| 			if len(data) < 6 { // ignore blank line or wrong format | ||||
| 				continue | ||||
| 			} | ||||
| 			dataChan <- data | ||||
| 			data = data[6:] | ||||
| 			if !strings.HasPrefix(data, "[DONE]") { | ||||
| 				switch relayMode { | ||||
| 				case RelayModeChatCompletions: | ||||
| 					var streamResponse ChatCompletionsStreamResponse | ||||
| 					err := json.Unmarshal([]byte(data), &streamResponse) | ||||
| 					if err != nil { | ||||
| 						common.SysError("error unmarshalling stream response: " + err.Error()) | ||||
| 						return | ||||
| 					} | ||||
| 					for _, choice := range streamResponse.Choices { | ||||
| 						responseText += choice.Delta.Content | ||||
| 					} | ||||
| 				case RelayModeCompletions: | ||||
| 					var streamResponse CompletionsStreamResponse | ||||
| 					err := json.Unmarshal([]byte(data), &streamResponse) | ||||
| 					if err != nil { | ||||
| 						common.SysError("error unmarshalling stream response: " + err.Error()) | ||||
| 						return | ||||
| 					} | ||||
| 					for _, choice := range streamResponse.Choices { | ||||
| 						responseText += choice.Text | ||||
| 					} | ||||
| 				} | ||||
| 			} | ||||
| 		} | ||||
| 		stopChan <- true | ||||
| 	}() | ||||
| 	c.Writer.Header().Set("Content-Type", "text/event-stream") | ||||
| 	c.Writer.Header().Set("Cache-Control", "no-cache") | ||||
| 	c.Writer.Header().Set("Connection", "keep-alive") | ||||
| 	c.Writer.Header().Set("Transfer-Encoding", "chunked") | ||||
| 	c.Writer.Header().Set("X-Accel-Buffering", "no") | ||||
| 	c.Stream(func(w io.Writer) bool { | ||||
| 		select { | ||||
| 		case data := <-dataChan: | ||||
| 			if strings.HasPrefix(data, "data: [DONE]") { | ||||
| 				data = data[:12] | ||||
| 			} | ||||
| 			// some implementations may add \r at the end of data | ||||
| 			data = strings.TrimSuffix(data, "\r") | ||||
| 			c.Render(-1, common.CustomEvent{Data: data}) | ||||
| 			return true | ||||
| 		case <-stopChan: | ||||
| 			return false | ||||
| 		} | ||||
| 	}) | ||||
| 	err := resp.Body.Close() | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), "" | ||||
| 	} | ||||
| 	return nil, responseText | ||||
| } | ||||
|  | ||||
| func openaiHandler(c *gin.Context, resp *http.Response, consumeQuota bool) (*OpenAIErrorWithStatusCode, *Usage) { | ||||
| 	var textResponse TextResponse | ||||
| 	if consumeQuota { | ||||
| 		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 | ||||
| 		} | ||||
| 		err = json.Unmarshal(responseBody, &textResponse) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil | ||||
| 		} | ||||
| 		if textResponse.Error.Type != "" { | ||||
| 			return &OpenAIErrorWithStatusCode{ | ||||
| 				OpenAIError: textResponse.Error, | ||||
| 				StatusCode:  resp.StatusCode, | ||||
| 			}, nil | ||||
| 		} | ||||
| 		// Reset response body | ||||
| 		resp.Body = io.NopCloser(bytes.NewBuffer(responseBody)) | ||||
| 	} | ||||
| 	// We shouldn't set the header before we parse the response body, because the parse part may fail. | ||||
| 	// And then we will have to send an error response, but in this case, the header has already been set. | ||||
| 	// So the client will be confused by the response. | ||||
| 	// For example, Postman will report error, and we cannot check the response at all. | ||||
| 	for k, v := range resp.Header { | ||||
| 		c.Writer.Header().Set(k, v[0]) | ||||
| 	} | ||||
| 	c.Writer.WriteHeader(resp.StatusCode) | ||||
| 	_, err := io.Copy(c.Writer, resp.Body) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError), nil | ||||
| 	} | ||||
| 	err = resp.Body.Close() | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil | ||||
| 	} | ||||
| 	return nil, &textResponse.Usage | ||||
| } | ||||
| @@ -1,10 +1,17 @@ | ||||
| package controller | ||||
|  | ||||
| import ( | ||||
| 	"encoding/json" | ||||
| 	"fmt" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"io" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| ) | ||||
|  | ||||
| // https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body | ||||
| // https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body | ||||
|  | ||||
| type PaLMChatMessage struct { | ||||
| 	Author  string `json:"author"` | ||||
| 	Content string `json:"content"` | ||||
| @@ -15,45 +22,185 @@ type PaLMFilter struct { | ||||
| 	Message string `json:"message"` | ||||
| } | ||||
|  | ||||
| // https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#request-body | ||||
| type PaLMPrompt struct { | ||||
| 	Messages []PaLMChatMessage `json:"messages"` | ||||
| } | ||||
|  | ||||
| type PaLMChatRequest struct { | ||||
| 	Prompt         []Message `json:"prompt"` | ||||
| 	Temperature    float64   `json:"temperature"` | ||||
| 	CandidateCount int       `json:"candidateCount"` | ||||
| 	TopP           float64   `json:"topP"` | ||||
| 	TopK           int       `json:"topK"` | ||||
| 	Prompt         PaLMPrompt `json:"prompt"` | ||||
| 	Temperature    float64    `json:"temperature,omitempty"` | ||||
| 	CandidateCount int        `json:"candidateCount,omitempty"` | ||||
| 	TopP           float64    `json:"topP,omitempty"` | ||||
| 	TopK           int        `json:"topK,omitempty"` | ||||
| } | ||||
|  | ||||
| type PaLMError struct { | ||||
| 	Code    int    `json:"code"` | ||||
| 	Message string `json:"message"` | ||||
| 	Status  string `json:"status"` | ||||
| } | ||||
|  | ||||
| // https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage#response-body | ||||
| type PaLMChatResponse struct { | ||||
| 	Candidates []Message    `json:"candidates"` | ||||
| 	Messages   []Message    `json:"messages"` | ||||
| 	Filters    []PaLMFilter `json:"filters"` | ||||
| 	Candidates []PaLMChatMessage `json:"candidates"` | ||||
| 	Messages   []Message         `json:"messages"` | ||||
| 	Filters    []PaLMFilter      `json:"filters"` | ||||
| 	Error      PaLMError         `json:"error"` | ||||
| } | ||||
|  | ||||
| func relayPaLM(openAIRequest GeneralOpenAIRequest, c *gin.Context) *OpenAIErrorWithStatusCode { | ||||
| 	// https://developers.generativeai.google/api/rest/generativelanguage/models/generateMessage | ||||
| 	messages := make([]PaLMChatMessage, 0, len(openAIRequest.Messages)) | ||||
| 	for _, message := range openAIRequest.Messages { | ||||
| 		var author string | ||||
| 		if message.Role == "user" { | ||||
| 			author = "0" | ||||
| 		} else { | ||||
| 			author = "1" | ||||
| 		} | ||||
| 		messages = append(messages, PaLMChatMessage{ | ||||
| 			Author:  author, | ||||
| func requestOpenAI2PaLM(textRequest GeneralOpenAIRequest) *PaLMChatRequest { | ||||
| 	palmRequest := PaLMChatRequest{ | ||||
| 		Prompt: PaLMPrompt{ | ||||
| 			Messages: make([]PaLMChatMessage, 0, len(textRequest.Messages)), | ||||
| 		}, | ||||
| 		Temperature:    textRequest.Temperature, | ||||
| 		CandidateCount: textRequest.N, | ||||
| 		TopP:           textRequest.TopP, | ||||
| 		TopK:           textRequest.MaxTokens, | ||||
| 	} | ||||
| 	for _, message := range textRequest.Messages { | ||||
| 		palmMessage := PaLMChatMessage{ | ||||
| 			Content: message.Content, | ||||
| 		}) | ||||
| 		} | ||||
| 		if message.Role == "user" { | ||||
| 			palmMessage.Author = "0" | ||||
| 		} else { | ||||
| 			palmMessage.Author = "1" | ||||
| 		} | ||||
| 		palmRequest.Prompt.Messages = append(palmRequest.Prompt.Messages, palmMessage) | ||||
| 	} | ||||
| 	request := PaLMChatRequest{ | ||||
| 		Prompt:         nil, | ||||
| 		Temperature:    openAIRequest.Temperature, | ||||
| 		CandidateCount: openAIRequest.N, | ||||
| 		TopP:           openAIRequest.TopP, | ||||
| 		TopK:           openAIRequest.MaxTokens, | ||||
| 	} | ||||
| 	// TODO: forward request to PaLM & convert response | ||||
| 	fmt.Print(request) | ||||
| 	return nil | ||||
| 	return &palmRequest | ||||
| } | ||||
|  | ||||
| func responsePaLM2OpenAI(response *PaLMChatResponse) *OpenAITextResponse { | ||||
| 	fullTextResponse := OpenAITextResponse{ | ||||
| 		Choices: make([]OpenAITextResponseChoice, 0, len(response.Candidates)), | ||||
| 	} | ||||
| 	for i, candidate := range response.Candidates { | ||||
| 		choice := OpenAITextResponseChoice{ | ||||
| 			Index: i, | ||||
| 			Message: Message{ | ||||
| 				Role:    "assistant", | ||||
| 				Content: candidate.Content, | ||||
| 			}, | ||||
| 			FinishReason: "stop", | ||||
| 		} | ||||
| 		fullTextResponse.Choices = append(fullTextResponse.Choices, choice) | ||||
| 	} | ||||
| 	return &fullTextResponse | ||||
| } | ||||
|  | ||||
| func streamResponsePaLM2OpenAI(palmResponse *PaLMChatResponse) *ChatCompletionsStreamResponse { | ||||
| 	var choice ChatCompletionsStreamResponseChoice | ||||
| 	if len(palmResponse.Candidates) > 0 { | ||||
| 		choice.Delta.Content = palmResponse.Candidates[0].Content | ||||
| 	} | ||||
| 	choice.FinishReason = "stop" | ||||
| 	var response ChatCompletionsStreamResponse | ||||
| 	response.Object = "chat.completion.chunk" | ||||
| 	response.Model = "palm2" | ||||
| 	response.Choices = []ChatCompletionsStreamResponseChoice{choice} | ||||
| 	return &response | ||||
| } | ||||
|  | ||||
| func palmStreamHandler(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 palmResponse PaLMChatResponse | ||||
| 		err = json.Unmarshal(responseBody, &palmResponse) | ||||
| 		if err != nil { | ||||
| 			common.SysError("error unmarshalling stream response: " + err.Error()) | ||||
| 			stopChan <- true | ||||
| 			return | ||||
| 		} | ||||
| 		fullTextResponse := streamResponsePaLM2OpenAI(&palmResponse) | ||||
| 		fullTextResponse.Id = responseId | ||||
| 		fullTextResponse.Created = createdTime | ||||
| 		jsonResponse, err := json.Marshal(fullTextResponse) | ||||
| 		if err != nil { | ||||
| 			common.SysError("error marshalling stream response: " + err.Error()) | ||||
| 			stopChan <- true | ||||
| 			return | ||||
| 		} | ||||
| 		dataChan <- string(jsonResponse) | ||||
| 		stopChan <- true | ||||
| 	}() | ||||
| 	c.Writer.Header().Set("Content-Type", "text/event-stream") | ||||
| 	c.Writer.Header().Set("Cache-Control", "no-cache") | ||||
| 	c.Writer.Header().Set("Connection", "keep-alive") | ||||
| 	c.Writer.Header().Set("Transfer-Encoding", "chunked") | ||||
| 	c.Writer.Header().Set("X-Accel-Buffering", "no") | ||||
| 	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 palmHandler(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 palmResponse PaLMChatResponse | ||||
| 	err = json.Unmarshal(responseBody, &palmResponse) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil | ||||
| 	} | ||||
| 	if palmResponse.Error.Code != 0 || len(palmResponse.Candidates) == 0 { | ||||
| 		return &OpenAIErrorWithStatusCode{ | ||||
| 			OpenAIError: OpenAIError{ | ||||
| 				Message: palmResponse.Error.Message, | ||||
| 				Type:    palmResponse.Error.Status, | ||||
| 				Param:   "", | ||||
| 				Code:    palmResponse.Error.Code, | ||||
| 			}, | ||||
| 			StatusCode: resp.StatusCode, | ||||
| 		}, nil | ||||
| 	} | ||||
| 	fullTextResponse := responsePaLM2OpenAI(&palmResponse) | ||||
| 	completionTokens := countTokenText(palmResponse.Candidates[0].Content, 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 | ||||
| } | ||||
|   | ||||
| @@ -1,17 +1,24 @@ | ||||
| package controller | ||||
|  | ||||
| import ( | ||||
| 	"bufio" | ||||
| 	"bytes" | ||||
| 	"encoding/json" | ||||
| 	"errors" | ||||
| 	"fmt" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"io" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| 	"one-api/model" | ||||
| 	"strings" | ||||
|  | ||||
| 	"github.com/gin-gonic/gin" | ||||
| ) | ||||
|  | ||||
| const ( | ||||
| 	APITypeOpenAI = iota | ||||
| 	APITypeClaude | ||||
| 	APITypePaLM | ||||
| 	APITypeBaidu | ||||
| ) | ||||
|  | ||||
| func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { | ||||
| @@ -30,6 +37,9 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { | ||||
| 	if relayMode == RelayModeModerations && textRequest.Model == "" { | ||||
| 		textRequest.Model = "text-moderation-latest" | ||||
| 	} | ||||
| 	if relayMode == RelayModeEmbeddings && textRequest.Model == "" { | ||||
| 		textRequest.Model = c.Param("model") | ||||
| 	} | ||||
| 	// request validation | ||||
| 	if textRequest.Model == "" { | ||||
| 		return errorWrapper(errors.New("model is required"), "required_field_missing", http.StatusBadRequest) | ||||
| @@ -67,33 +77,63 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { | ||||
| 			isModelMapped = true | ||||
| 		} | ||||
| 	} | ||||
| 	apiType := APITypeOpenAI | ||||
| 	if strings.HasPrefix(textRequest.Model, "claude") { | ||||
| 		apiType = APITypeClaude | ||||
| 	} else if strings.HasPrefix(textRequest.Model, "ERNIE") { | ||||
| 		apiType = APITypeBaidu | ||||
| 	} else if strings.HasPrefix(textRequest.Model, "PaLM") { | ||||
| 		apiType = APITypePaLM | ||||
| 	} | ||||
| 	baseURL := common.ChannelBaseURLs[channelType] | ||||
| 	requestURL := c.Request.URL.String() | ||||
| 	if c.GetString("base_url") != "" { | ||||
| 		baseURL = c.GetString("base_url") | ||||
| 	} | ||||
| 	fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL) | ||||
| 	if channelType == common.ChannelTypeAzure { | ||||
| 		// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api | ||||
| 		query := c.Request.URL.Query() | ||||
| 		apiVersion := query.Get("api-version") | ||||
| 		if apiVersion == "" { | ||||
| 			apiVersion = c.GetString("api_version") | ||||
| 	switch apiType { | ||||
| 	case APITypeOpenAI: | ||||
| 		if channelType == common.ChannelTypeAzure { | ||||
| 			// https://learn.microsoft.com/en-us/azure/cognitive-services/openai/chatgpt-quickstart?pivots=rest-api&tabs=command-line#rest-api | ||||
| 			query := c.Request.URL.Query() | ||||
| 			apiVersion := query.Get("api-version") | ||||
| 			if apiVersion == "" { | ||||
| 				apiVersion = c.GetString("api_version") | ||||
| 			} | ||||
| 			requestURL := strings.Split(requestURL, "?")[0] | ||||
| 			requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion) | ||||
| 			baseURL = c.GetString("base_url") | ||||
| 			task := strings.TrimPrefix(requestURL, "/v1/") | ||||
| 			model_ := textRequest.Model | ||||
| 			model_ = strings.Replace(model_, ".", "", -1) | ||||
| 			// https://github.com/songquanpeng/one-api/issues/67 | ||||
| 			model_ = strings.TrimSuffix(model_, "-0301") | ||||
| 			model_ = strings.TrimSuffix(model_, "-0314") | ||||
| 			model_ = strings.TrimSuffix(model_, "-0613") | ||||
| 			fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task) | ||||
| 		} | ||||
| 		requestURL := strings.Split(requestURL, "?")[0] | ||||
| 		requestURL = fmt.Sprintf("%s?api-version=%s", requestURL, apiVersion) | ||||
| 		baseURL = c.GetString("base_url") | ||||
| 		task := strings.TrimPrefix(requestURL, "/v1/") | ||||
| 		model_ := textRequest.Model | ||||
| 		model_ = strings.Replace(model_, ".", "", -1) | ||||
| 		// https://github.com/songquanpeng/one-api/issues/67 | ||||
| 		model_ = strings.TrimSuffix(model_, "-0301") | ||||
| 		model_ = strings.TrimSuffix(model_, "-0314") | ||||
| 		model_ = strings.TrimSuffix(model_, "-0613") | ||||
| 		fullRequestURL = fmt.Sprintf("%s/openai/deployments/%s/%s", baseURL, model_, task) | ||||
| 	} else if channelType == common.ChannelTypePaLM { | ||||
| 		err := relayPaLM(textRequest, c) | ||||
| 		return err | ||||
| 	case APITypeClaude: | ||||
| 		fullRequestURL = "https://api.anthropic.com/v1/complete" | ||||
| 		if baseURL != "" { | ||||
| 			fullRequestURL = fmt.Sprintf("%s/v1/complete", baseURL) | ||||
| 		} | ||||
| 	case APITypeBaidu: | ||||
| 		switch textRequest.Model { | ||||
| 		case "ERNIE-Bot": | ||||
| 			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions" | ||||
| 		case "ERNIE-Bot-turbo": | ||||
| 			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/eb-instant" | ||||
| 		case "BLOOMZ-7B": | ||||
| 			fullRequestURL = "https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/bloomz_7b1" | ||||
| 		} | ||||
| 		apiKey := c.Request.Header.Get("Authorization") | ||||
| 		apiKey = strings.TrimPrefix(apiKey, "Bearer ") | ||||
| 		fullRequestURL += "?access_token=" + apiKey // TODO: access token expire in 30 days | ||||
| 	case APITypePaLM: | ||||
| 		fullRequestURL = "https://generativelanguage.googleapis.com/v1beta2/models/chat-bison-001:generateMessage" | ||||
| 		apiKey := c.Request.Header.Get("Authorization") | ||||
| 		apiKey = strings.TrimPrefix(apiKey, "Bearer ") | ||||
| 		fullRequestURL += "?key=" + apiKey | ||||
| 	} | ||||
| 	var promptTokens int | ||||
| 	var completionTokens int | ||||
| @@ -138,20 +178,53 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { | ||||
| 	} else { | ||||
| 		requestBody = c.Request.Body | ||||
| 	} | ||||
| 	switch apiType { | ||||
| 	case APITypeClaude: | ||||
| 		claudeRequest := requestOpenAI2Claude(textRequest) | ||||
| 		jsonStr, err := json.Marshal(claudeRequest) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		requestBody = bytes.NewBuffer(jsonStr) | ||||
| 	case APITypeBaidu: | ||||
| 		baiduRequest := requestOpenAI2Baidu(textRequest) | ||||
| 		jsonStr, err := json.Marshal(baiduRequest) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		requestBody = bytes.NewBuffer(jsonStr) | ||||
| 	case APITypePaLM: | ||||
| 		palmRequest := requestOpenAI2PaLM(textRequest) | ||||
| 		jsonStr, err := json.Marshal(palmRequest) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "marshal_text_request_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		requestBody = bytes.NewBuffer(jsonStr) | ||||
| 	} | ||||
| 	req, err := http.NewRequest(c.Request.Method, fullRequestURL, requestBody) | ||||
| 	if err != nil { | ||||
| 		return errorWrapper(err, "new_request_failed", http.StatusInternalServerError) | ||||
| 	} | ||||
| 	if channelType == common.ChannelTypeAzure { | ||||
| 		key := c.Request.Header.Get("Authorization") | ||||
| 		key = strings.TrimPrefix(key, "Bearer ") | ||||
| 		req.Header.Set("api-key", key) | ||||
| 	} else { | ||||
| 		req.Header.Set("Authorization", c.Request.Header.Get("Authorization")) | ||||
| 	apiKey := c.Request.Header.Get("Authorization") | ||||
| 	apiKey = strings.TrimPrefix(apiKey, "Bearer ") | ||||
| 	switch apiType { | ||||
| 	case APITypeOpenAI: | ||||
| 		if channelType == common.ChannelTypeAzure { | ||||
| 			req.Header.Set("api-key", apiKey) | ||||
| 		} else { | ||||
| 			req.Header.Set("Authorization", c.Request.Header.Get("Authorization")) | ||||
| 		} | ||||
| 	case APITypeClaude: | ||||
| 		req.Header.Set("x-api-key", apiKey) | ||||
| 		anthropicVersion := c.Request.Header.Get("anthropic-version") | ||||
| 		if anthropicVersion == "" { | ||||
| 			anthropicVersion = "2023-06-01" | ||||
| 		} | ||||
| 		req.Header.Set("anthropic-version", anthropicVersion) | ||||
| 	} | ||||
| 	req.Header.Set("Content-Type", c.Request.Header.Get("Content-Type")) | ||||
| 	req.Header.Set("Accept", c.Request.Header.Get("Accept")) | ||||
| 	req.Header.Set("Connection", c.Request.Header.Get("Connection")) | ||||
| 	//req.Header.Set("Connection", c.Request.Header.Get("Connection")) | ||||
| 	client := &http.Client{} | ||||
| 	resp, err := client.Do(req) | ||||
| 	if err != nil { | ||||
| @@ -179,7 +252,7 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { | ||||
| 			if strings.HasPrefix(textRequest.Model, "gpt-4") { | ||||
| 				completionRatio = 2 | ||||
| 			} | ||||
| 			if isStream { | ||||
| 			if isStream && apiType != APITypeBaidu { | ||||
| 				completionTokens = countTokenText(streamResponseText, textRequest.Model) | ||||
| 			} else { | ||||
| 				promptTokens = textResponse.Usage.PromptTokens | ||||
| @@ -215,123 +288,72 @@ func relayTextHelper(c *gin.Context, relayMode int) *OpenAIErrorWithStatusCode { | ||||
| 			} | ||||
| 		} | ||||
| 	}() | ||||
|  | ||||
| 	if isStream { | ||||
| 		scanner := bufio.NewScanner(resp.Body) | ||||
| 		scanner.Split(func(data []byte, atEOF bool) (advance int, token []byte, err error) { | ||||
| 			if atEOF && len(data) == 0 { | ||||
| 				return 0, nil, nil | ||||
| 			} | ||||
|  | ||||
| 			if i := strings.Index(string(data), "\n\n"); i >= 0 { | ||||
| 				return i + 2, data[0:i], nil | ||||
| 			} | ||||
|  | ||||
| 			if atEOF { | ||||
| 				return len(data), data, nil | ||||
| 			} | ||||
|  | ||||
| 			return 0, nil, nil | ||||
| 		}) | ||||
| 		dataChan := make(chan string) | ||||
| 		stopChan := make(chan bool) | ||||
| 		go func() { | ||||
| 			for scanner.Scan() { | ||||
| 				data := scanner.Text() | ||||
| 				if len(data) < 6 { // must be something wrong! | ||||
| 					common.SysError("invalid stream response: " + data) | ||||
| 					continue | ||||
| 				} | ||||
| 				dataChan <- data | ||||
| 				data = data[6:] | ||||
| 				if !strings.HasPrefix(data, "[DONE]") { | ||||
| 					switch relayMode { | ||||
| 					case RelayModeChatCompletions: | ||||
| 						var streamResponse ChatCompletionsStreamResponse | ||||
| 						err = json.Unmarshal([]byte(data), &streamResponse) | ||||
| 						if err != nil { | ||||
| 							common.SysError("error unmarshalling stream response: " + err.Error()) | ||||
| 							return | ||||
| 						} | ||||
| 						for _, choice := range streamResponse.Choices { | ||||
| 							streamResponseText += choice.Delta.Content | ||||
| 						} | ||||
| 					case RelayModeCompletions: | ||||
| 						var streamResponse CompletionsStreamResponse | ||||
| 						err = json.Unmarshal([]byte(data), &streamResponse) | ||||
| 						if err != nil { | ||||
| 							common.SysError("error unmarshalling stream response: " + err.Error()) | ||||
| 							return | ||||
| 						} | ||||
| 						for _, choice := range streamResponse.Choices { | ||||
| 							streamResponseText += choice.Text | ||||
| 						} | ||||
| 					} | ||||
| 				} | ||||
| 			} | ||||
| 			stopChan <- true | ||||
| 		}() | ||||
| 		c.Writer.Header().Set("Content-Type", "text/event-stream") | ||||
| 		c.Writer.Header().Set("Cache-Control", "no-cache") | ||||
| 		c.Writer.Header().Set("Connection", "keep-alive") | ||||
| 		c.Writer.Header().Set("Transfer-Encoding", "chunked") | ||||
| 		c.Writer.Header().Set("X-Accel-Buffering", "no") | ||||
| 		c.Stream(func(w io.Writer) bool { | ||||
| 			select { | ||||
| 			case data := <-dataChan: | ||||
| 				if strings.HasPrefix(data, "data: [DONE]") { | ||||
| 					data = data[:12] | ||||
| 				} | ||||
| 				c.Render(-1, common.CustomEvent{Data: data}) | ||||
| 				return true | ||||
| 			case <-stopChan: | ||||
| 				return false | ||||
| 			} | ||||
| 		}) | ||||
| 		err = resp.Body.Close() | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		return nil | ||||
| 	} else { | ||||
| 		if consumeQuota { | ||||
| 			responseBody, err := io.ReadAll(resp.Body) | ||||
| 	switch apiType { | ||||
| 	case APITypeOpenAI: | ||||
| 		if isStream { | ||||
| 			err, responseText := openaiStreamHandler(c, resp, relayMode) | ||||
| 			if err != nil { | ||||
| 				return errorWrapper(err, "read_response_body_failed", http.StatusInternalServerError) | ||||
| 				return err | ||||
| 			} | ||||
| 			err = resp.Body.Close() | ||||
| 			streamResponseText = responseText | ||||
| 			return nil | ||||
| 		} else { | ||||
| 			err, usage := openaiHandler(c, resp, consumeQuota) | ||||
| 			if err != nil { | ||||
| 				return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError) | ||||
| 				return err | ||||
| 			} | ||||
| 			err = json.Unmarshal(responseBody, &textResponse) | ||||
| 			textResponse.Usage = *usage | ||||
| 			return nil | ||||
| 		} | ||||
| 	case APITypeClaude: | ||||
| 		if isStream { | ||||
| 			err, responseText := claudeStreamHandler(c, resp) | ||||
| 			if err != nil { | ||||
| 				return errorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError) | ||||
| 				return err | ||||
| 			} | ||||
| 			if textResponse.Error.Type != "" { | ||||
| 				return &OpenAIErrorWithStatusCode{ | ||||
| 					OpenAIError: textResponse.Error, | ||||
| 					StatusCode:  resp.StatusCode, | ||||
| 				} | ||||
| 			streamResponseText = responseText | ||||
| 			return nil | ||||
| 		} else { | ||||
| 			err, usage := claudeHandler(c, resp, promptTokens, textRequest.Model) | ||||
| 			if err != nil { | ||||
| 				return err | ||||
| 			} | ||||
| 			// Reset response body | ||||
| 			resp.Body = io.NopCloser(bytes.NewBuffer(responseBody)) | ||||
| 			textResponse.Usage = *usage | ||||
| 			return nil | ||||
| 		} | ||||
| 		// We shouldn't set the header before we parse the response body, because the parse part may fail. | ||||
| 		// And then we will have to send an error response, but in this case, the header has already been set. | ||||
| 		// So the client will be confused by the response. | ||||
| 		// For example, Postman will report error, and we cannot check the response at all. | ||||
| 		for k, v := range resp.Header { | ||||
| 			c.Writer.Header().Set(k, v[0]) | ||||
| 	case APITypeBaidu: | ||||
| 		if isStream { | ||||
| 			err, usage := baiduStreamHandler(c, resp) | ||||
| 			if err != nil { | ||||
| 				return err | ||||
| 			} | ||||
| 			textResponse.Usage = *usage | ||||
| 			return nil | ||||
| 		} else { | ||||
| 			err, usage := baiduHandler(c, resp) | ||||
| 			if err != nil { | ||||
| 				return err | ||||
| 			} | ||||
| 			textResponse.Usage = *usage | ||||
| 			return nil | ||||
| 		} | ||||
| 		c.Writer.WriteHeader(resp.StatusCode) | ||||
| 		_, err = io.Copy(c.Writer, resp.Body) | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "copy_response_body_failed", http.StatusInternalServerError) | ||||
| 	case APITypePaLM: | ||||
| 		if textRequest.Stream { // PaLM2 API does not support stream | ||||
| 			err, responseText := palmStreamHandler(c, resp) | ||||
| 			if err != nil { | ||||
| 				return err | ||||
| 			} | ||||
| 			streamResponseText = responseText | ||||
| 			return nil | ||||
| 		} else { | ||||
| 			err, usage := palmHandler(c, resp, promptTokens, textRequest.Model) | ||||
| 			if err != nil { | ||||
| 				return err | ||||
| 			} | ||||
| 			textResponse.Usage = *usage | ||||
| 			return nil | ||||
| 		} | ||||
| 		err = resp.Body.Close() | ||||
| 		if err != nil { | ||||
| 			return errorWrapper(err, "close_response_body_failed", http.StatusInternalServerError) | ||||
| 		} | ||||
| 		return nil | ||||
| 	default: | ||||
| 		return errorWrapper(errors.New("unknown api type"), "unknown_api_type", http.StatusInternalServerError) | ||||
| 	} | ||||
| } | ||||
|   | ||||
| @@ -4,7 +4,6 @@ import ( | ||||
| 	"fmt" | ||||
| 	"github.com/pkoukk/tiktoken-go" | ||||
| 	"one-api/common" | ||||
| 	"strings" | ||||
| ) | ||||
|  | ||||
| var tokenEncoderMap = map[string]*tiktoken.Tiktoken{} | ||||
| @@ -25,6 +24,13 @@ func getTokenEncoder(model string) *tiktoken.Tiktoken { | ||||
| 	return tokenEncoder | ||||
| } | ||||
|  | ||||
| func getTokenNum(tokenEncoder *tiktoken.Tiktoken, text string) int { | ||||
| 	if common.ApproximateTokenEnabled { | ||||
| 		return int(float64(len(text)) * 0.38) | ||||
| 	} | ||||
| 	return len(tokenEncoder.Encode(text, nil, nil)) | ||||
| } | ||||
|  | ||||
| func countTokenMessages(messages []Message, model string) int { | ||||
| 	tokenEncoder := getTokenEncoder(model) | ||||
| 	// Reference: | ||||
| @@ -34,12 +40,9 @@ func countTokenMessages(messages []Message, model string) int { | ||||
| 	// Every message follows <|start|>{role/name}\n{content}<|end|>\n | ||||
| 	var tokensPerMessage int | ||||
| 	var tokensPerName int | ||||
| 	if strings.HasPrefix(model, "gpt-3.5") { | ||||
| 	if model == "gpt-3.5-turbo-0301" { | ||||
| 		tokensPerMessage = 4 | ||||
| 		tokensPerName = -1 // If there's a name, the role is omitted | ||||
| 	} else if strings.HasPrefix(model, "gpt-4") { | ||||
| 		tokensPerMessage = 3 | ||||
| 		tokensPerName = 1 | ||||
| 	} else { | ||||
| 		tokensPerMessage = 3 | ||||
| 		tokensPerName = 1 | ||||
| @@ -47,11 +50,11 @@ func countTokenMessages(messages []Message, model string) int { | ||||
| 	tokenNum := 0 | ||||
| 	for _, message := range messages { | ||||
| 		tokenNum += tokensPerMessage | ||||
| 		tokenNum += len(tokenEncoder.Encode(message.Content, nil, nil)) | ||||
| 		tokenNum += len(tokenEncoder.Encode(message.Role, nil, nil)) | ||||
| 		tokenNum += getTokenNum(tokenEncoder, message.Content) | ||||
| 		tokenNum += getTokenNum(tokenEncoder, message.Role) | ||||
| 		if message.Name != nil { | ||||
| 			tokenNum += tokensPerName | ||||
| 			tokenNum += len(tokenEncoder.Encode(*message.Name, nil, nil)) | ||||
| 			tokenNum += getTokenNum(tokenEncoder, *message.Name) | ||||
| 		} | ||||
| 	} | ||||
| 	tokenNum += 3 // Every reply is primed with <|start|>assistant<|message|> | ||||
| @@ -74,8 +77,7 @@ func countTokenInput(input any, model string) int { | ||||
|  | ||||
| func countTokenText(text string, model string) int { | ||||
| 	tokenEncoder := getTokenEncoder(model) | ||||
| 	token := tokenEncoder.Encode(text, nil, nil) | ||||
| 	return len(token) | ||||
| 	return getTokenNum(tokenEncoder, text) | ||||
| } | ||||
|  | ||||
| func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatusCode { | ||||
| @@ -89,3 +91,16 @@ func errorWrapper(err error, code string, statusCode int) *OpenAIErrorWithStatus | ||||
| 		StatusCode:  statusCode, | ||||
| 	} | ||||
| } | ||||
|  | ||||
| func shouldDisableChannel(err *OpenAIError) bool { | ||||
| 	if !common.AutomaticDisableChannelEnabled { | ||||
| 		return false | ||||
| 	} | ||||
| 	if err == nil { | ||||
| 		return false | ||||
| 	} | ||||
| 	if err.Type == "insufficient_quota" || err.Code == "invalid_api_key" || err.Code == "account_deactivated" { | ||||
| 		return true | ||||
| 	} | ||||
| 	return false | ||||
| } | ||||
|   | ||||
| @@ -2,10 +2,12 @@ package controller | ||||
|  | ||||
| import ( | ||||
| 	"fmt" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| 	"strconv" | ||||
| 	"strings" | ||||
|  | ||||
| 	"github.com/gin-gonic/gin" | ||||
| ) | ||||
|  | ||||
| type Message struct { | ||||
| @@ -37,6 +39,7 @@ type GeneralOpenAIRequest struct { | ||||
| 	N           int       `json:"n,omitempty"` | ||||
| 	Input       any       `json:"input,omitempty"` | ||||
| 	Instruction string    `json:"instruction,omitempty"` | ||||
| 	Size        string    `json:"size,omitempty"` | ||||
| } | ||||
|  | ||||
| type ChatRequest struct { | ||||
| @@ -53,6 +56,12 @@ type TextRequest struct { | ||||
| 	//Stream   bool      `json:"stream"` | ||||
| } | ||||
|  | ||||
| type ImageRequest struct { | ||||
| 	Prompt string `json:"prompt"` | ||||
| 	N      int    `json:"n"` | ||||
| 	Size   string `json:"size"` | ||||
| } | ||||
|  | ||||
| type Usage struct { | ||||
| 	PromptTokens     int `json:"prompt_tokens"` | ||||
| 	CompletionTokens int `json:"completion_tokens"` | ||||
| @@ -76,13 +85,40 @@ type TextResponse struct { | ||||
| 	Error OpenAIError `json:"error"` | ||||
| } | ||||
|  | ||||
| type OpenAITextResponseChoice struct { | ||||
| 	Index        int `json:"index"` | ||||
| 	Message      `json:"message"` | ||||
| 	FinishReason string `json:"finish_reason"` | ||||
| } | ||||
|  | ||||
| type OpenAITextResponse struct { | ||||
| 	Id      string                     `json:"id"` | ||||
| 	Object  string                     `json:"object"` | ||||
| 	Created int64                      `json:"created"` | ||||
| 	Choices []OpenAITextResponseChoice `json:"choices"` | ||||
| 	Usage   `json:"usage"` | ||||
| } | ||||
|  | ||||
| type ImageResponse struct { | ||||
| 	Created int `json:"created"` | ||||
| 	Data    []struct { | ||||
| 		Url string `json:"url"` | ||||
| 	} | ||||
| } | ||||
|  | ||||
| type ChatCompletionsStreamResponseChoice struct { | ||||
| 	Delta struct { | ||||
| 		Content string `json:"content"` | ||||
| 	} `json:"delta"` | ||||
| 	FinishReason string `json:"finish_reason,omitempty"` | ||||
| } | ||||
|  | ||||
| type ChatCompletionsStreamResponse struct { | ||||
| 	Choices []struct { | ||||
| 		Delta struct { | ||||
| 			Content string `json:"content"` | ||||
| 		} `json:"delta"` | ||||
| 		FinishReason string `json:"finish_reason"` | ||||
| 	} `json:"choices"` | ||||
| 	Id      string                                `json:"id"` | ||||
| 	Object  string                                `json:"object"` | ||||
| 	Created int64                                 `json:"created"` | ||||
| 	Model   string                                `json:"model"` | ||||
| 	Choices []ChatCompletionsStreamResponseChoice `json:"choices"` | ||||
| } | ||||
|  | ||||
| type CompletionsStreamResponse struct { | ||||
| @@ -100,6 +136,8 @@ func Relay(c *gin.Context) { | ||||
| 		relayMode = RelayModeCompletions | ||||
| 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/embeddings") { | ||||
| 		relayMode = RelayModeEmbeddings | ||||
| 	} else if strings.HasSuffix(c.Request.URL.Path, "embeddings") { | ||||
| 		relayMode = RelayModeEmbeddings | ||||
| 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/moderations") { | ||||
| 		relayMode = RelayModeModerations | ||||
| 	} else if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") { | ||||
| @@ -115,16 +153,25 @@ func Relay(c *gin.Context) { | ||||
| 		err = relayTextHelper(c, relayMode) | ||||
| 	} | ||||
| 	if err != nil { | ||||
| 		if err.StatusCode == http.StatusTooManyRequests { | ||||
| 			err.OpenAIError.Message = "当前分组负载已饱和,请稍后再试,或升级账户以提升服务质量。" | ||||
| 		retryTimesStr := c.Query("retry") | ||||
| 		retryTimes, _ := strconv.Atoi(retryTimesStr) | ||||
| 		if retryTimesStr == "" { | ||||
| 			retryTimes = common.RetryTimes | ||||
| 		} | ||||
| 		if retryTimes > 0 { | ||||
| 			c.Redirect(http.StatusTemporaryRedirect, fmt.Sprintf("%s?retry=%d", c.Request.URL.Path, retryTimes-1)) | ||||
| 		} else { | ||||
| 			if err.StatusCode == http.StatusTooManyRequests { | ||||
| 				err.OpenAIError.Message = "当前分组负载已饱和,请稍后再试,或升级账户以提升服务质量。" | ||||
| 			} | ||||
| 			c.JSON(err.StatusCode, gin.H{ | ||||
| 				"error": err.OpenAIError, | ||||
| 			}) | ||||
| 		} | ||||
| 		c.JSON(err.StatusCode, gin.H{ | ||||
| 			"error": err.OpenAIError, | ||||
| 		}) | ||||
| 		channelId := c.GetInt("channel_id") | ||||
| 		common.SysError(fmt.Sprintf("relay error (channel #%d): %s", channelId, err.Message)) | ||||
| 		// https://platform.openai.com/docs/guides/error-codes/api-errors | ||||
| 		if common.AutomaticDisableChannelEnabled && (err.Type == "insufficient_quota" || err.Code == "invalid_api_key") { | ||||
| 		if shouldDisableChannel(&err.OpenAIError) { | ||||
| 			channelId := c.GetInt("channel_id") | ||||
| 			channelName := c.GetString("channel_name") | ||||
| 			disableChannel(channelId, channelName, err.Message) | ||||
|   | ||||
							
								
								
									
										47
									
								
								i18n/en.json
									
									
									
									
									
								
							
							
						
						
									
										47
									
								
								i18n/en.json
									
									
									
									
									
								
							| @@ -107,6 +107,11 @@ | ||||
|   "已禁用": "Disabled", | ||||
|   "未知状态": "Unknown status", | ||||
|   " 秒": "s", | ||||
|   " 分钟 ": " m ", | ||||
|   " 小时 ": " h ", | ||||
|   " 天 ": " d ", | ||||
|   " 个月 ": " M ", | ||||
|   " 年 ": " y ", | ||||
|   "未测试": "Not tested", | ||||
|   "通道 ${name} 测试成功,耗时 ${time.toFixed(2)} 秒。": "Channel ${name} test succeeded, time consumed ${time.toFixed(2)} s.", | ||||
|   "已成功开始测试所有已启用通道,请刷新页面查看结果。": "All enabled channels have been successfully tested, please refresh the page to view the results.", | ||||
| @@ -458,5 +463,45 @@ | ||||
|   "消耗额度": "Used Quota", | ||||
|   "可选值": "Optional Values", | ||||
|   "渠道不存在:%d": "Channel does not exist: %d", | ||||
|   "数据库一致性已被破坏,请联系管理员": "Database consistency has been broken, please contact the administrator" | ||||
|   "数据库一致性已被破坏,请联系管理员": "Database consistency has been broken, please contact the administrator", | ||||
|   "使用近似的方式估算 token 数以减少计算量": "Estimate the number of tokens in an approximate way to reduce computational load", | ||||
|   "请填写ChannelName和ChannelKey!": "Please fill in the ChannelName and ChannelKey!", | ||||
|   "请至少选择一个Model!": "Please select at least one Model!", | ||||
|   "加载首页内容失败": "Failed to load the homepage content", | ||||
|   "加载关于内容失败": "Failed to load the About content", | ||||
|   "兑换码更新成功!": "Redemption code updated successfully!", | ||||
|   "兑换码创建成功!": "Redemption code created successfully!", | ||||
|   "用户账户创建成功!": "User account created successfully!", | ||||
|   "生成数量": "Generate quantity", | ||||
|   "请输入生成数量": "Please enter the quantity to generate", | ||||
|   "创建新用户账户": "Create new user account", | ||||
|   "渠道更新成功!": "Channel updated successfully!", | ||||
|   "渠道创建成功!": "Channel created successfully!", | ||||
|   "请选择分组": "Please select a group", | ||||
|   "更新兑换码信息": "Update redemption code information", | ||||
|   "创建新的兑换码": "Create a new redemption code", | ||||
|   "请在系统设置页面编辑分组倍率以添加新的分组:": "Please edit the group ratio in the system settings page to add a new group:", | ||||
|   "未找到所请求的页面": "The requested page was not found", | ||||
|   "过期时间格式错误!": "Expiration time format error!", | ||||
|   "请输入过期时间,格式为 yyyy-MM-dd HH:mm:ss,-1 表示无限制": "Please enter the expiration time, the format is yyyy-MM-dd HH:mm:ss, -1 means no limit", | ||||
|   "此项可选,为一个 JSON 文本,键为用户请求的模型名称,值为要替换的模型名称,例如:": "This is optional, it's a JSON text, the key is the model name requested by the user, and the value is the model name to be replaced, for example:", | ||||
|   "此项可选,输入镜像站地址,格式为:": "This is optional, enter the mirror site address, the format is:", | ||||
|   "模型映射": "Model mapping", | ||||
|   "请输入默认 API 版本,例如:2023-03-15-preview,该配置可以被实际的请求查询参数所覆盖": "Please enter the default API version, for example: 2023-03-15-preview, this configuration can be overridden by the actual request query parameters", | ||||
|   "默认": "Default", | ||||
|   "图片演示": "Image demo", | ||||
|   "参数替换为你的部署名称(模型名称中的点会被剔除)": "Replace the parameter with your deployment name (dots in the model name will be removed)", | ||||
|   "模型映射必须是合法的 JSON 格式!": "Model mapping must be in valid JSON format!", | ||||
|   "取消无限额度": "Cancel unlimited quota", | ||||
|   "请输入新的剩余额度": "Please enter the new remaining quota", | ||||
|   "请输入单个兑换码中包含的额度": "Please enter the quota included in a single redemption code", | ||||
|   "请输入用户名": "Please enter username", | ||||
|   "请输入显示名称": "Please enter display name", | ||||
|   "请输入密码": "Please enter password", | ||||
|   "模型部署名称必须和模型名称保持一致": "The model deployment name must be consistent with the model name", | ||||
|   ",因为 One API 会把请求体中的 model": ", because One API will take the model in the request body", | ||||
|   "请输入 AZURE_OPENAI_ENDPOINT": "Please enter AZURE_OPENAI_ENDPOINT", | ||||
|   "请输入自定义渠道的 Base URL": "Please enter the Base URL of the custom channel", | ||||
|   "Homepage URL 填": "Fill in the Homepage URL", | ||||
|   "Authorization callback URL 填": "Fill in the Authorization callback URL" | ||||
| } | ||||
|   | ||||
| @@ -2,12 +2,13 @@ package middleware | ||||
|  | ||||
| import ( | ||||
| 	"fmt" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"net/http" | ||||
| 	"one-api/common" | ||||
| 	"one-api/model" | ||||
| 	"strconv" | ||||
| 	"strings" | ||||
|  | ||||
| 	"github.com/gin-gonic/gin" | ||||
| ) | ||||
|  | ||||
| type ModelRequest struct { | ||||
| @@ -73,6 +74,16 @@ func Distribute() func(c *gin.Context) { | ||||
| 					modelRequest.Model = "text-moderation-stable" | ||||
| 				} | ||||
| 			} | ||||
| 			if strings.HasSuffix(c.Request.URL.Path, "embeddings") { | ||||
| 				if modelRequest.Model == "" { | ||||
| 					modelRequest.Model = c.Param("model") | ||||
| 				} | ||||
| 			} | ||||
| 			if strings.HasPrefix(c.Request.URL.Path, "/v1/images/generations") { | ||||
| 				if modelRequest.Model == "" { | ||||
| 					modelRequest.Model = "dall-e" | ||||
| 				} | ||||
| 			} | ||||
| 			channel, err = model.CacheGetRandomSatisfiedChannel(userGroup, modelRequest.Model) | ||||
| 			if err != nil { | ||||
| 				message := "无可用渠道" | ||||
|   | ||||
| @@ -34,6 +34,7 @@ func InitOptionMap() { | ||||
| 	common.OptionMap["TurnstileCheckEnabled"] = strconv.FormatBool(common.TurnstileCheckEnabled) | ||||
| 	common.OptionMap["RegisterEnabled"] = strconv.FormatBool(common.RegisterEnabled) | ||||
| 	common.OptionMap["AutomaticDisableChannelEnabled"] = strconv.FormatBool(common.AutomaticDisableChannelEnabled) | ||||
| 	common.OptionMap["ApproximateTokenEnabled"] = strconv.FormatBool(common.ApproximateTokenEnabled) | ||||
| 	common.OptionMap["LogConsumeEnabled"] = strconv.FormatBool(common.LogConsumeEnabled) | ||||
| 	common.OptionMap["DisplayInCurrencyEnabled"] = strconv.FormatBool(common.DisplayInCurrencyEnabled) | ||||
| 	common.OptionMap["DisplayTokenStatEnabled"] = strconv.FormatBool(common.DisplayTokenStatEnabled) | ||||
| @@ -67,6 +68,7 @@ func InitOptionMap() { | ||||
| 	common.OptionMap["TopUpLink"] = common.TopUpLink | ||||
| 	common.OptionMap["ChatLink"] = common.ChatLink | ||||
| 	common.OptionMap["QuotaPerUnit"] = strconv.FormatFloat(common.QuotaPerUnit, 'f', -1, 64) | ||||
| 	common.OptionMap["RetryTimes"] = strconv.Itoa(common.RetryTimes) | ||||
| 	common.OptionMapRWMutex.Unlock() | ||||
| 	loadOptionsFromDatabase() | ||||
| } | ||||
| @@ -141,6 +143,8 @@ func updateOptionMap(key string, value string) (err error) { | ||||
| 			common.RegisterEnabled = boolValue | ||||
| 		case "AutomaticDisableChannelEnabled": | ||||
| 			common.AutomaticDisableChannelEnabled = boolValue | ||||
| 		case "ApproximateTokenEnabled": | ||||
| 			common.ApproximateTokenEnabled = boolValue | ||||
| 		case "LogConsumeEnabled": | ||||
| 			common.LogConsumeEnabled = boolValue | ||||
| 		case "DisplayInCurrencyEnabled": | ||||
| @@ -193,6 +197,8 @@ func updateOptionMap(key string, value string) (err error) { | ||||
| 		common.QuotaRemindThreshold, _ = strconv.Atoi(value) | ||||
| 	case "PreConsumedQuota": | ||||
| 		common.PreConsumedQuota, _ = strconv.Atoi(value) | ||||
| 	case "RetryTimes": | ||||
| 		common.RetryTimes, _ = strconv.Atoi(value) | ||||
| 	case "ModelRatio": | ||||
| 		err = common.UpdateModelRatioByJSONString(value) | ||||
| 	case "GroupRatio": | ||||
|   | ||||
| @@ -3,6 +3,7 @@ package model | ||||
| import ( | ||||
| 	"errors" | ||||
| 	"fmt" | ||||
| 	"gorm.io/gorm" | ||||
| 	"one-api/common" | ||||
| ) | ||||
|  | ||||
| @@ -48,26 +49,27 @@ func Redeem(key string, userId int) (quota int, err error) { | ||||
| 		return 0, errors.New("无效的 user id") | ||||
| 	} | ||||
| 	redemption := &Redemption{} | ||||
| 	err = DB.Where("`key` = ?", key).First(redemption).Error | ||||
| 	if err != nil { | ||||
| 		return 0, errors.New("无效的兑换码") | ||||
| 	} | ||||
| 	if redemption.Status != common.RedemptionCodeStatusEnabled { | ||||
| 		return 0, errors.New("该兑换码已被使用") | ||||
| 	} | ||||
| 	err = IncreaseUserQuota(userId, redemption.Quota) | ||||
| 	if err != nil { | ||||
| 		return 0, err | ||||
| 	} | ||||
| 	go func() { | ||||
|  | ||||
| 	err = DB.Transaction(func(tx *gorm.DB) error { | ||||
| 		err := DB.Where("`key` = ?", key).First(redemption).Error | ||||
| 		if err != nil { | ||||
| 			return errors.New("无效的兑换码") | ||||
| 		} | ||||
| 		if redemption.Status != common.RedemptionCodeStatusEnabled { | ||||
| 			return errors.New("该兑换码已被使用") | ||||
| 		} | ||||
| 		err = DB.Model(&User{}).Where("id = ?", userId).Update("quota", gorm.Expr("quota + ?", redemption.Quota)).Error | ||||
| 		if err != nil { | ||||
| 			return err | ||||
| 		} | ||||
| 		redemption.RedeemedTime = common.GetTimestamp() | ||||
| 		redemption.Status = common.RedemptionCodeStatusUsed | ||||
| 		err := redemption.SelectUpdate() | ||||
| 		if err != nil { | ||||
| 			common.SysError("failed to update redemption status: " + err.Error()) | ||||
| 		} | ||||
| 		RecordLog(userId, LogTypeTopup, fmt.Sprintf("通过兑换码充值 %s", common.LogQuota(redemption.Quota))) | ||||
| 	}() | ||||
| 		return redemption.SelectUpdate() | ||||
| 	}) | ||||
| 	if err != nil { | ||||
| 		return 0, errors.New("兑换失败," + err.Error()) | ||||
| 	} | ||||
| 	RecordLog(userId, LogTypeTopup, fmt.Sprintf("通过兑换码充值 %s", common.LogQuota(redemption.Quota))) | ||||
| 	return redemption.Quota, nil | ||||
| } | ||||
|  | ||||
|   | ||||
| @@ -1,10 +1,11 @@ | ||||
| package router | ||||
|  | ||||
| import ( | ||||
| 	"github.com/gin-contrib/gzip" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"one-api/controller" | ||||
| 	"one-api/middleware" | ||||
|  | ||||
| 	"github.com/gin-contrib/gzip" | ||||
| 	"github.com/gin-gonic/gin" | ||||
| ) | ||||
|  | ||||
| func SetApiRouter(router *gin.Engine) { | ||||
|   | ||||
| @@ -1,9 +1,10 @@ | ||||
| package router | ||||
|  | ||||
| import ( | ||||
| 	"github.com/gin-gonic/gin" | ||||
| 	"one-api/controller" | ||||
| 	"one-api/middleware" | ||||
|  | ||||
| 	"github.com/gin-gonic/gin" | ||||
| ) | ||||
|  | ||||
| func SetRelayRouter(router *gin.Engine) { | ||||
| @@ -20,10 +21,11 @@ func SetRelayRouter(router *gin.Engine) { | ||||
| 		relayV1Router.POST("/completions", controller.Relay) | ||||
| 		relayV1Router.POST("/chat/completions", controller.Relay) | ||||
| 		relayV1Router.POST("/edits", controller.Relay) | ||||
| 		relayV1Router.POST("/images/generations", controller.RelayNotImplemented) | ||||
| 		relayV1Router.POST("/images/generations", controller.Relay) | ||||
| 		relayV1Router.POST("/images/edits", controller.RelayNotImplemented) | ||||
| 		relayV1Router.POST("/images/variations", controller.RelayNotImplemented) | ||||
| 		relayV1Router.POST("/embeddings", controller.Relay) | ||||
| 		relayV1Router.POST("/engines/:model/embeddings", controller.Relay) | ||||
| 		relayV1Router.POST("/audio/transcriptions", controller.RelayNotImplemented) | ||||
| 		relayV1Router.POST("/audio/translations", controller.RelayNotImplemented) | ||||
| 		relayV1Router.GET("/files", controller.RelayNotImplemented) | ||||
|   | ||||
| @@ -30,6 +30,9 @@ function renderType(type) { | ||||
| function renderBalance(type, balance) { | ||||
|   switch (type) { | ||||
|     case 1: // OpenAI | ||||
|       return <span>${balance.toFixed(2)}</span>; | ||||
|     case 4: // CloseAI | ||||
|       return <span>¥{balance.toFixed(2)}</span>; | ||||
|     case 8: // 自定义 | ||||
|       return <span>${balance.toFixed(2)}</span>; | ||||
|     case 5: // OpenAI-SB | ||||
|   | ||||
| @@ -12,7 +12,7 @@ import { | ||||
| } from 'semantic-ui-react'; | ||||
| import { Link, useNavigate, useSearchParams } from 'react-router-dom'; | ||||
| import { UserContext } from '../context/User'; | ||||
| import { API, getLogo, showError, showSuccess } from '../helpers'; | ||||
| import { API, getLogo, showError, showSuccess, showInfo } from '../helpers'; | ||||
|  | ||||
| const LoginForm = () => { | ||||
|   const [inputs, setInputs] = useState({ | ||||
| @@ -76,7 +76,7 @@ const LoginForm = () => { | ||||
|   async function handleSubmit(e) { | ||||
|     setSubmitted(true); | ||||
|     if (username && password) { | ||||
|       const res = await API.post('/api/user/login', { | ||||
|       const res = await API.post(`/api/user/login`, { | ||||
|         username, | ||||
|         password, | ||||
|       }); | ||||
|   | ||||
| @@ -18,7 +18,9 @@ const OperationSetting = () => { | ||||
|     ChannelDisableThreshold: 0, | ||||
|     LogConsumeEnabled: '', | ||||
|     DisplayInCurrencyEnabled: '', | ||||
|     DisplayTokenStatEnabled: '' | ||||
|     DisplayTokenStatEnabled: '', | ||||
|     ApproximateTokenEnabled: '', | ||||
|     RetryTimes: 0, | ||||
|   }); | ||||
|   const [originInputs, setOriginInputs] = useState({}); | ||||
|   let [loading, setLoading] = useState(false); | ||||
| @@ -121,6 +123,9 @@ const OperationSetting = () => { | ||||
|         if (originInputs['QuotaPerUnit'] !== inputs.QuotaPerUnit) { | ||||
|           await updateOption('QuotaPerUnit', inputs.QuotaPerUnit); | ||||
|         } | ||||
|         if (originInputs['RetryTimes'] !== inputs.RetryTimes) { | ||||
|           await updateOption('RetryTimes', inputs.RetryTimes); | ||||
|         } | ||||
|         break; | ||||
|     } | ||||
|   }; | ||||
| @@ -132,7 +137,7 @@ const OperationSetting = () => { | ||||
|           <Header as='h3'> | ||||
|             通用设置 | ||||
|           </Header> | ||||
|           <Form.Group widths={3}> | ||||
|           <Form.Group widths={4}> | ||||
|             <Form.Input | ||||
|               label='充值链接' | ||||
|               name='TopUpLink' | ||||
| @@ -161,6 +166,17 @@ const OperationSetting = () => { | ||||
|               step='0.01' | ||||
|               placeholder='一单位货币能兑换的额度' | ||||
|             /> | ||||
|             <Form.Input | ||||
|               label='失败重试次数' | ||||
|               name='RetryTimes' | ||||
|               type={'number'} | ||||
|               step='1' | ||||
|               min='0' | ||||
|               onChange={handleInputChange} | ||||
|               autoComplete='new-password' | ||||
|               value={inputs.RetryTimes} | ||||
|               placeholder='失败重试次数' | ||||
|             /> | ||||
|           </Form.Group> | ||||
|           <Form.Group inline> | ||||
|             <Form.Checkbox | ||||
| @@ -181,6 +197,12 @@ const OperationSetting = () => { | ||||
|               name='DisplayTokenStatEnabled' | ||||
|               onChange={handleInputChange} | ||||
|             /> | ||||
|             <Form.Checkbox | ||||
|               checked={inputs.ApproximateTokenEnabled === 'true'} | ||||
|               label='使用近似的方式估算 token 数以减少计算量' | ||||
|               name='ApproximateTokenEnabled' | ||||
|               onChange={handleInputChange} | ||||
|             /> | ||||
|           </Form.Group> | ||||
|           <Form.Button onClick={() => { | ||||
|             submitConfig('general').then(); | ||||
|   | ||||
| @@ -183,14 +183,6 @@ const UsersTable = () => { | ||||
|             > | ||||
|               分组 | ||||
|             </Table.HeaderCell> | ||||
|             <Table.HeaderCell | ||||
|               style={{ cursor: 'pointer' }} | ||||
|               onClick={() => { | ||||
|                 sortUser('email'); | ||||
|               }} | ||||
|             > | ||||
|               邮箱地址 | ||||
|             </Table.HeaderCell> | ||||
|             <Table.HeaderCell | ||||
|               style={{ cursor: 'pointer' }} | ||||
|               onClick={() => { | ||||
| @@ -233,20 +225,20 @@ const UsersTable = () => { | ||||
|                   <Table.Cell> | ||||
|                     <Popup | ||||
|                       content={user.email ? user.email : '未绑定邮箱地址'} | ||||
|                       key={user.display_name} | ||||
|                       key={user.username} | ||||
|                       header={user.display_name ? user.display_name : user.username} | ||||
|                       trigger={<span>{renderText(user.username, 10)}</span>} | ||||
|                       hoverable | ||||
|                     /> | ||||
|                   </Table.Cell> | ||||
|                   <Table.Cell>{renderGroup(user.group)}</Table.Cell> | ||||
|                   {/*<Table.Cell>*/} | ||||
|                   {/*  {user.email ? <Popup hoverable content={user.email} trigger={<span>{renderText(user.email, 24)}</span>} /> : '无'}*/} | ||||
|                   {/*</Table.Cell>*/} | ||||
|                   <Table.Cell> | ||||
|                     {user.email ? <Popup hoverable content={user.email} trigger={<span>{renderText(user.email, 24)}</span>} /> : '无'} | ||||
|                   </Table.Cell> | ||||
|                   <Table.Cell> | ||||
|                     <Popup content='剩余额度' trigger={<Label>{renderQuota(user.quota)}</Label>} /> | ||||
|                     <Popup content='已用额度' trigger={<Label>{renderQuota(user.used_quota)}</Label>} /> | ||||
|                     <Popup content='请求次数' trigger={<Label>{renderNumber(user.request_count)}</Label>} /> | ||||
|                     <Popup content='剩余额度' trigger={<Label basic>{renderQuota(user.quota)}</Label>} /> | ||||
|                     <Popup content='已用额度' trigger={<Label basic>{renderQuota(user.used_quota)}</Label>} /> | ||||
|                     <Popup content='请求次数' trigger={<Label basic>{renderNumber(user.request_count)}</Label>} /> | ||||
|                   </Table.Cell> | ||||
|                   <Table.Cell>{renderRole(user.role)}</Table.Cell> | ||||
|                   <Table.Cell>{renderStatus(user.status)}</Table.Cell> | ||||
| @@ -320,7 +312,7 @@ const UsersTable = () => { | ||||
|  | ||||
|         <Table.Footer> | ||||
|           <Table.Row> | ||||
|             <Table.HeaderCell colSpan='8'> | ||||
|             <Table.HeaderCell colSpan='7'> | ||||
|               <Button size='small' as={Link} to='/user/add' loading={loading}> | ||||
|                 添加新的用户 | ||||
|               </Button> | ||||
|   | ||||
| @@ -1,7 +1,10 @@ | ||||
| export const CHANNEL_OPTIONS = [ | ||||
|   { key: 1, text: 'OpenAI', value: 1, color: 'green' }, | ||||
|   { key: 14, text: 'Anthropic', value: 14, color: 'black' }, | ||||
|   { key: 8, text: '自定义', value: 8, color: 'pink' }, | ||||
|   { key: 3, text: 'Azure', value: 3, color: 'olive' }, | ||||
|   { key: 11, text: 'PaLM', value: 11, color: 'orange' }, | ||||
|   { key: 15, text: 'Baidu', value: 15, color: 'blue' }, | ||||
|   { key: 2, text: 'API2D', value: 2, color: 'blue' }, | ||||
|   { key: 4, text: 'CloseAI', value: 4, color: 'teal' }, | ||||
|   { key: 5, text: 'OpenAI-SB', value: 5, color: 'brown' }, | ||||
|   | ||||
| @@ -1,5 +1,5 @@ | ||||
| import React, { useEffect, useState } from 'react'; | ||||
| import { Button, Form, Header, Message, Segment } from 'semantic-ui-react'; | ||||
| import { Button, Form, Header, Input, Message, Segment } from 'semantic-ui-react'; | ||||
| import { useParams } from 'react-router-dom'; | ||||
| import { API, showError, showInfo, showSuccess, verifyJSON } from '../../helpers'; | ||||
| import { CHANNEL_OPTIONS } from '../../constants'; | ||||
| @@ -27,10 +27,12 @@ const EditChannel = () => { | ||||
|   }; | ||||
|   const [batch, setBatch] = useState(false); | ||||
|   const [inputs, setInputs] = useState(originInputs); | ||||
|   const [originModelOptions, setOriginModelOptions] = useState([]); | ||||
|   const [modelOptions, setModelOptions] = useState([]); | ||||
|   const [groupOptions, setGroupOptions] = useState([]); | ||||
|   const [basicModels, setBasicModels] = useState([]); | ||||
|   const [fullModels, setFullModels] = useState([]); | ||||
|   const [customModel, setCustomModel] = useState(''); | ||||
|   const handleInputChange = (e, { name, value }) => { | ||||
|     setInputs((inputs) => ({ ...inputs, [name]: value })); | ||||
|   }; | ||||
| @@ -62,13 +64,16 @@ const EditChannel = () => { | ||||
|   const fetchModels = async () => { | ||||
|     try { | ||||
|       let res = await API.get(`/api/channel/models`); | ||||
|       setModelOptions(res.data.data.map((model) => ({ | ||||
|       let localModelOptions = res.data.data.map((model) => ({ | ||||
|         key: model.id, | ||||
|         text: model.id, | ||||
|         value: model.id | ||||
|       }))); | ||||
|       })); | ||||
|       setOriginModelOptions(localModelOptions); | ||||
|       setFullModels(res.data.data.map((model) => model.id)); | ||||
|       setBasicModels(res.data.data.filter((model) => !model.id.startsWith('gpt-4')).map((model) => model.id)); | ||||
|       setBasicModels(res.data.data.filter((model) => { | ||||
|         return model.id.startsWith('gpt-3') || model.id.startsWith('text-'); | ||||
|       }).map((model) => model.id)); | ||||
|     } catch (error) { | ||||
|       showError(error.message); | ||||
|     } | ||||
| @@ -87,6 +92,20 @@ const EditChannel = () => { | ||||
|     } | ||||
|   }; | ||||
|  | ||||
|   useEffect(() => { | ||||
|     let localModelOptions = [...originModelOptions]; | ||||
|     inputs.models.forEach((model) => { | ||||
|       if (!localModelOptions.find((option) => option.key === model)) { | ||||
|         localModelOptions.push({ | ||||
|           key: model, | ||||
|           text: model, | ||||
|           value: model | ||||
|         }); | ||||
|       } | ||||
|     }); | ||||
|     setModelOptions(localModelOptions); | ||||
|   }, [originModelOptions, inputs.models]); | ||||
|  | ||||
|   useEffect(() => { | ||||
|     if (isEdit) { | ||||
|       loadChannel().then(); | ||||
| @@ -145,6 +164,7 @@ const EditChannel = () => { | ||||
|             <Form.Select | ||||
|               label='类型' | ||||
|               name='type' | ||||
|               required | ||||
|               options={CHANNEL_OPTIONS} | ||||
|               value={inputs.type} | ||||
|               onChange={handleInputChange} | ||||
| @@ -201,7 +221,7 @@ const EditChannel = () => { | ||||
|                 <Form.Input | ||||
|                   label='镜像' | ||||
|                   name='base_url' | ||||
|                   placeholder={'请输入镜像站地址,格式为:https://domain.com,可不填,不填则使用渠道默认值'} | ||||
|                   placeholder={'此项可选,输入镜像站地址,格式为:https://domain.com'} | ||||
|                   onChange={handleInputChange} | ||||
|                   value={inputs.base_url} | ||||
|                   autoComplete='new-password' | ||||
| @@ -212,6 +232,7 @@ const EditChannel = () => { | ||||
|           <Form.Field> | ||||
|             <Form.Input | ||||
|               label='名称' | ||||
|               required | ||||
|               name='name' | ||||
|               placeholder={'请输入名称'} | ||||
|               onChange={handleInputChange} | ||||
| @@ -224,6 +245,7 @@ const EditChannel = () => { | ||||
|               label='分组' | ||||
|               placeholder={'请选择分组'} | ||||
|               name='groups' | ||||
|               required | ||||
|               fluid | ||||
|               multiple | ||||
|               selection | ||||
| @@ -240,6 +262,7 @@ const EditChannel = () => { | ||||
|               label='模型' | ||||
|               placeholder={'请选择该通道所支持的模型'} | ||||
|               name='models' | ||||
|               required | ||||
|               fluid | ||||
|               multiple | ||||
|               selection | ||||
| @@ -259,11 +282,37 @@ const EditChannel = () => { | ||||
|             <Button type={'button'} onClick={() => { | ||||
|               handleInputChange(null, { name: 'models', value: [] }); | ||||
|             }}>清除所有模型</Button> | ||||
|             <Input | ||||
|               action={ | ||||
|                 <Button type={'button'} onClick={()=>{ | ||||
|                   if (customModel.trim() === "") return; | ||||
|                   if (inputs.models.includes(customModel)) return; | ||||
|                   let localModels = [...inputs.models]; | ||||
|                   localModels.push(customModel); | ||||
|                   let localModelOptions = []; | ||||
|                   localModelOptions.push({ | ||||
|                     key: customModel, | ||||
|                     text: customModel, | ||||
|                     value: customModel, | ||||
|                   }); | ||||
|                   setModelOptions(modelOptions=>{ | ||||
|                     return [...modelOptions, ...localModelOptions]; | ||||
|                   }); | ||||
|                   setCustomModel(''); | ||||
|                   handleInputChange(null, { name: 'models', value: localModels }); | ||||
|                 }}>填入</Button> | ||||
|               } | ||||
|               placeholder='输入自定义模型名称' | ||||
|               value={customModel} | ||||
|               onChange={(e, { value }) => { | ||||
|                 setCustomModel(value); | ||||
|               }} | ||||
|             /> | ||||
|           </div> | ||||
|           <Form.Field> | ||||
|             <Form.TextArea | ||||
|               label='模型映射' | ||||
|               placeholder={`为一个 JSON 文本,键为用户请求的模型名称,值为要替换的模型名称,例如:\n${JSON.stringify(MODEL_MAPPING_EXAMPLE, null, 2)}`} | ||||
|               placeholder={`此项可选,为一个 JSON 文本,键为用户请求的模型名称,值为要替换的模型名称,例如:\n${JSON.stringify(MODEL_MAPPING_EXAMPLE, null, 2)}`} | ||||
|               name='model_mapping' | ||||
|               onChange={handleInputChange} | ||||
|               value={inputs.model_mapping} | ||||
| @@ -276,6 +325,7 @@ const EditChannel = () => { | ||||
|               <Form.TextArea | ||||
|                 label='密钥' | ||||
|                 name='key' | ||||
|                 required | ||||
|                 placeholder={'请输入密钥,一行一个'} | ||||
|                 onChange={handleInputChange} | ||||
|                 value={inputs.key} | ||||
| @@ -286,7 +336,8 @@ const EditChannel = () => { | ||||
|               <Form.Input | ||||
|                 label='密钥' | ||||
|                 name='key' | ||||
|                 placeholder={'请输入密钥'} | ||||
|                 required | ||||
|                 placeholder={inputs.type === 15 ? "请输入 access token,当前版本暂不支持自动刷新,请每 30 天更新一次" : '请输入密钥'} | ||||
|                 onChange={handleInputChange} | ||||
|                 value={inputs.key} | ||||
|                 autoComplete='new-password' | ||||
| @@ -303,7 +354,7 @@ const EditChannel = () => { | ||||
|               /> | ||||
|             ) | ||||
|           } | ||||
|           <Button positive onClick={submit}>提交</Button> | ||||
|           <Button type={isEdit ? "button" : "submit"} positive onClick={submit}>提交</Button> | ||||
|         </Form> | ||||
|       </Segment> | ||||
|     </> | ||||
|   | ||||
| @@ -11,7 +11,7 @@ const EditToken = () => { | ||||
|   const [loading, setLoading] = useState(isEdit); | ||||
|   const originInputs = { | ||||
|     name: '', | ||||
|     remain_quota: 0, | ||||
|     remain_quota: isEdit ? 0 : 500000, | ||||
|     expired_time: -1, | ||||
|     unlimited_quota: false | ||||
|   }; | ||||
|   | ||||
		Reference in New Issue
	
	Block a user