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9 Commits

Author SHA1 Message Date
Laisky.Cai
e2d2a17874 Merge 009337ccf3 into 8df4a2670b 2025-03-11 11:39:09 +08:00
JustSong
8df4a2670b docs: update ByteDance Doubao model link in README
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2025-02-21 19:30:16 +08:00
longkeyy
7ac553541b feat: update openrouter models and price 20250213 (#2084)
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2025-02-16 18:01:59 +08:00
longkeyy
a5c517c27a feat: update ali models and price 20250213 (#2086) 2025-02-16 18:01:24 +08:00
JustSong
3f421c4f04 feat: support Gemini openai compatible api 2025-02-16 17:59:39 +08:00
JustSong
1ce6a226f6 chore: update prompt 2025-02-16 17:42:20 +08:00
JustSong
cafd0a0327 feat: add OpenAI compatible channel (close #2091) 2025-02-16 17:38:06 +08:00
JustSong
8b8cd03e85 feat: add balance not supported message in ChannelsTable
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2025-02-12 01:20:28 +08:00
Laisky.Cai
009337ccf3 feat: support vertex imagen3 2025-01-12 04:22:21 +00:00
45 changed files with 967 additions and 232 deletions

View File

@@ -72,7 +72,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
+ [x] [Anthropic Claude 系列模型](https://anthropic.com) (支持 AWS Claude)
+ [x] [Google PaLM2/Gemini 系列模型](https://developers.generativeai.google)
+ [x] [Mistral 系列模型](https://mistral.ai/)
+ [x] [字节跳动豆包大模型](https://console.volcengine.com/ark/region:ark+cn-beijing/model)
+ [x] [字节跳动豆包大模型(火山引擎)](https://www.volcengine.com/experience/ark?utm_term=202502dsinvite&ac=DSASUQY5&rc=2QXCA1VI)
+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
+ [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
+ [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)

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@@ -21,4 +21,5 @@ const (
AvailableModels = "available_models"
KeyRequestBody = "key_request_body"
SystemPrompt = "system_prompt"
Meta = "meta"
)

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@@ -38,7 +38,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return aiProxyLibraryRequest, nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

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@@ -67,7 +67,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
}
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

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@@ -14,10 +14,14 @@ var ModelList = []string{
"qwen2-72b-instruct", "qwen2-57b-a14b-instruct", "qwen2-7b-instruct", "qwen2-1.5b-instruct", "qwen2-0.5b-instruct",
"qwen1.5-110b-chat", "qwen1.5-72b-chat", "qwen1.5-32b-chat", "qwen1.5-14b-chat", "qwen1.5-7b-chat", "qwen1.5-1.8b-chat", "qwen1.5-0.5b-chat",
"qwen-72b-chat", "qwen-14b-chat", "qwen-7b-chat", "qwen-1.8b-chat", "qwen-1.8b-longcontext-chat",
"qvq-72b-preview",
"qwen2.5-vl-72b-instruct", "qwen2.5-vl-7b-instruct", "qwen2.5-vl-2b-instruct", "qwen2.5-vl-1b-instruct", "qwen2.5-vl-0.5b-instruct",
"qwen2-vl-7b-instruct", "qwen2-vl-2b-instruct", "qwen-vl-v1", "qwen-vl-chat-v1",
"qwen2-audio-instruct", "qwen-audio-chat",
"qwen2.5-math-72b-instruct", "qwen2.5-math-7b-instruct", "qwen2.5-math-1.5b-instruct", "qwen2-math-72b-instruct", "qwen2-math-7b-instruct", "qwen2-math-1.5b-instruct",
"qwen2.5-coder-32b-instruct", "qwen2.5-coder-14b-instruct", "qwen2.5-coder-7b-instruct", "qwen2.5-coder-3b-instruct", "qwen2.5-coder-1.5b-instruct", "qwen2.5-coder-0.5b-instruct",
"text-embedding-v1", "text-embedding-v3", "text-embedding-v2", "text-embedding-async-v2", "text-embedding-async-v1",
"ali-stable-diffusion-xl", "ali-stable-diffusion-v1.5", "wanx-v1",
"qwen-mt-plus", "qwen-mt-turbo",
"deepseek-r1", "deepseek-v3", "deepseek-r1-distill-qwen-1.5b", "deepseek-r1-distill-qwen-7b", "deepseek-r1-distill-qwen-14b", "deepseek-r1-distill-qwen-32b", "deepseek-r1-distill-llama-8b", "deepseek-r1-distill-llama-70b",
}

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@@ -50,7 +50,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return ConvertRequest(*request), nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -72,7 +72,7 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *me
return nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

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@@ -39,7 +39,7 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *me
return nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -109,7 +109,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
}
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -19,7 +19,7 @@ type Adaptor struct {
}
// ConvertImageRequest implements adaptor.Adaptor.
func (*Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (*Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
return nil, errors.New("not implemented")
}

View File

@@ -15,7 +15,7 @@ import (
type Adaptor struct{}
// ConvertImageRequest implements adaptor.Adaptor.
func (*Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (*Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
return nil, errors.New("not implemented")
}

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@@ -38,7 +38,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return ConvertRequest(*request), nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

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@@ -39,7 +39,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return convertedRequest, nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -66,7 +66,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
}
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

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@@ -1,18 +1,12 @@
package gemini
import (
"github.com/songquanpeng/one-api/relay/adaptor/geminiv2"
)
// https://ai.google.dev/models/gemini
var ModelList = []string{
"gemini-pro", "gemini-1.0-pro",
// "gemma-2-2b-it", "gemma-2-9b-it", "gemma-2-27b-it",
"gemini-1.5-flash", "gemini-1.5-flash-8b",
"gemini-1.5-pro", "gemini-1.5-pro-experimental",
"text-embedding-004", "aqa",
"gemini-2.0-flash", "gemini-2.0-flash-exp",
"gemini-2.0-flash-lite-preview-02-05",
"gemini-2.0-flash-thinking-exp-01-21",
"gemini-2.0-pro-exp-02-05",
}
var ModelList = geminiv2.ModelList
// ModelsSupportSystemInstruction is the list of models that support system instruction.
//

View File

@@ -0,0 +1,15 @@
package geminiv2
// https://ai.google.dev/models/gemini
var ModelList = []string{
"gemini-pro", "gemini-1.0-pro",
// "gemma-2-2b-it", "gemma-2-9b-it", "gemma-2-27b-it",
"gemini-1.5-flash", "gemini-1.5-flash-8b",
"gemini-1.5-pro", "gemini-1.5-pro-experimental",
"text-embedding-004", "aqa",
"gemini-2.0-flash", "gemini-2.0-flash-exp",
"gemini-2.0-flash-lite-preview-02-05",
"gemini-2.0-flash-thinking-exp-01-21",
"gemini-2.0-pro-exp-02-05",
}

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@@ -0,0 +1,14 @@
package geminiv2
import (
"fmt"
"strings"
"github.com/songquanpeng/one-api/relay/meta"
)
func GetRequestURL(meta *meta.Meta) (string, error) {
baseURL := strings.TrimSuffix(meta.BaseURL, "/")
requestPath := strings.TrimPrefix(meta.RequestURLPath, "/v1")
return fmt.Sprintf("%s%s", baseURL, requestPath), nil
}

View File

@@ -13,7 +13,7 @@ type Adaptor interface {
GetRequestURL(meta *meta.Meta) (string, error)
SetupRequestHeader(c *gin.Context, req *http.Request, meta *meta.Meta) error
ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error)
ConvertImageRequest(request *model.ImageRequest) (any, error)
ConvertImageRequest(c *gin.Context, request *model.ImageRequest) (any, error)
DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Reader) (*http.Response, error)
DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode)
GetModelList() []string

View File

@@ -48,7 +48,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
}
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -13,6 +13,7 @@ import (
"github.com/songquanpeng/one-api/relay/adaptor/alibailian"
"github.com/songquanpeng/one-api/relay/adaptor/baiduv2"
"github.com/songquanpeng/one-api/relay/adaptor/doubao"
"github.com/songquanpeng/one-api/relay/adaptor/geminiv2"
"github.com/songquanpeng/one-api/relay/adaptor/minimax"
"github.com/songquanpeng/one-api/relay/adaptor/novita"
"github.com/songquanpeng/one-api/relay/channeltype"
@@ -59,6 +60,8 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
return baiduv2.GetRequestURL(meta)
case channeltype.AliBailian:
return alibailian.GetRequestURL(meta)
case channeltype.GeminiOpenAICompatible:
return geminiv2.GetRequestURL(meta)
default:
return GetFullRequestURL(meta.BaseURL, meta.RequestURLPath, meta.ChannelType), nil
}
@@ -92,7 +95,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return request, nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -7,6 +7,7 @@ import (
"github.com/songquanpeng/one-api/relay/adaptor/baiduv2"
"github.com/songquanpeng/one-api/relay/adaptor/deepseek"
"github.com/songquanpeng/one-api/relay/adaptor/doubao"
"github.com/songquanpeng/one-api/relay/adaptor/geminiv2"
"github.com/songquanpeng/one-api/relay/adaptor/groq"
"github.com/songquanpeng/one-api/relay/adaptor/lingyiwanwu"
"github.com/songquanpeng/one-api/relay/adaptor/minimax"
@@ -82,6 +83,8 @@ func GetCompatibleChannelMeta(channelType int) (string, []string) {
return "openrouter", openrouter.ModelList
case channeltype.AliBailian:
return "alibailian", alibailian.ModelList
case channeltype.GeminiOpenAICompatible:
return "geminiv2", geminiv2.ModelList
default:
return "openai", ModelList
}

View File

@@ -17,6 +17,9 @@ func ResponseText2Usage(responseText string, modelName string, promptTokens int)
}
func GetFullRequestURL(baseURL string, requestURL string, channelType int) string {
if channelType == channeltype.OpenAICompatible {
return fmt.Sprintf("%s%s", strings.TrimSuffix(baseURL, "/"), strings.TrimPrefix(requestURL, "/v1"))
}
fullRequestURL := fmt.Sprintf("%s%s", baseURL, requestURL)
if strings.HasPrefix(baseURL, "https://gateway.ai.cloudflare.com") {

View File

@@ -1,20 +1,235 @@
package openrouter
var ModelList = []string{
"openai/gpt-3.5-turbo",
"openai/chatgpt-4o-latest",
"openai/o1",
"openai/o1-preview",
"openai/o1-mini",
"openai/o3-mini",
"google/gemini-2.0-flash-001",
"google/gemini-2.0-flash-thinking-exp:free",
"google/gemini-2.0-flash-lite-preview-02-05:free",
"google/gemini-2.0-pro-exp-02-05:free",
"google/gemini-flash-1.5-8b",
"anthropic/claude-3.5-sonnet",
"01-ai/yi-large",
"aetherwiing/mn-starcannon-12b",
"ai21/jamba-1-5-large",
"ai21/jamba-1-5-mini",
"ai21/jamba-instruct",
"aion-labs/aion-1.0",
"aion-labs/aion-1.0-mini",
"aion-labs/aion-rp-llama-3.1-8b",
"allenai/llama-3.1-tulu-3-405b",
"alpindale/goliath-120b",
"alpindale/magnum-72b",
"amazon/nova-lite-v1",
"amazon/nova-micro-v1",
"amazon/nova-pro-v1",
"anthracite-org/magnum-v2-72b",
"anthracite-org/magnum-v4-72b",
"anthropic/claude-2",
"anthropic/claude-2.0",
"anthropic/claude-2.0:beta",
"anthropic/claude-2.1",
"anthropic/claude-2.1:beta",
"anthropic/claude-2:beta",
"anthropic/claude-3-haiku",
"anthropic/claude-3-haiku:beta",
"anthropic/claude-3-opus",
"anthropic/claude-3-opus:beta",
"anthropic/claude-3-sonnet",
"anthropic/claude-3-sonnet:beta",
"anthropic/claude-3.5-haiku",
"deepseek/deepseek-r1:free",
"anthropic/claude-3.5-haiku-20241022",
"anthropic/claude-3.5-haiku-20241022:beta",
"anthropic/claude-3.5-haiku:beta",
"anthropic/claude-3.5-sonnet",
"anthropic/claude-3.5-sonnet-20240620",
"anthropic/claude-3.5-sonnet-20240620:beta",
"anthropic/claude-3.5-sonnet:beta",
"cognitivecomputations/dolphin-mixtral-8x22b",
"cognitivecomputations/dolphin-mixtral-8x7b",
"cohere/command",
"cohere/command-r",
"cohere/command-r-03-2024",
"cohere/command-r-08-2024",
"cohere/command-r-plus",
"cohere/command-r-plus-04-2024",
"cohere/command-r-plus-08-2024",
"cohere/command-r7b-12-2024",
"databricks/dbrx-instruct",
"deepseek/deepseek-chat",
"deepseek/deepseek-chat-v2.5",
"deepseek/deepseek-chat:free",
"deepseek/deepseek-r1",
"deepseek/deepseek-r1-distill-llama-70b",
"deepseek/deepseek-r1-distill-llama-70b:free",
"deepseek/deepseek-r1-distill-llama-8b",
"deepseek/deepseek-r1-distill-qwen-1.5b",
"deepseek/deepseek-r1-distill-qwen-14b",
"deepseek/deepseek-r1-distill-qwen-32b",
"deepseek/deepseek-r1:free",
"eva-unit-01/eva-llama-3.33-70b",
"eva-unit-01/eva-qwen-2.5-32b",
"eva-unit-01/eva-qwen-2.5-72b",
"google/gemini-2.0-flash-001",
"google/gemini-2.0-flash-exp:free",
"google/gemini-2.0-flash-lite-preview-02-05:free",
"google/gemini-2.0-flash-thinking-exp-1219:free",
"google/gemini-2.0-flash-thinking-exp:free",
"google/gemini-2.0-pro-exp-02-05:free",
"google/gemini-exp-1206:free",
"google/gemini-flash-1.5",
"google/gemini-flash-1.5-8b",
"google/gemini-flash-1.5-8b-exp",
"google/gemini-pro",
"google/gemini-pro-1.5",
"google/gemini-pro-vision",
"google/gemma-2-27b-it",
"google/gemma-2-9b-it",
"google/gemma-2-9b-it:free",
"google/gemma-7b-it",
"google/learnlm-1.5-pro-experimental:free",
"google/palm-2-chat-bison",
"google/palm-2-chat-bison-32k",
"google/palm-2-codechat-bison",
"google/palm-2-codechat-bison-32k",
"gryphe/mythomax-l2-13b",
"gryphe/mythomax-l2-13b:free",
"huggingfaceh4/zephyr-7b-beta:free",
"infermatic/mn-inferor-12b",
"inflection/inflection-3-pi",
"inflection/inflection-3-productivity",
"jondurbin/airoboros-l2-70b",
"liquid/lfm-3b",
"liquid/lfm-40b",
"liquid/lfm-7b",
"mancer/weaver",
"meta-llama/llama-2-13b-chat",
"meta-llama/llama-2-70b-chat",
"meta-llama/llama-3-70b-instruct",
"meta-llama/llama-3-8b-instruct",
"meta-llama/llama-3-8b-instruct:free",
"meta-llama/llama-3.1-405b",
"meta-llama/llama-3.1-405b-instruct",
"meta-llama/llama-3.1-70b-instruct",
"meta-llama/llama-3.1-8b-instruct",
"meta-llama/llama-3.2-11b-vision-instruct",
"meta-llama/llama-3.2-11b-vision-instruct:free",
"meta-llama/llama-3.2-1b-instruct",
"meta-llama/llama-3.2-3b-instruct",
"meta-llama/llama-3.2-90b-vision-instruct",
"meta-llama/llama-3.3-70b-instruct",
"meta-llama/llama-3.3-70b-instruct:free",
"meta-llama/llama-guard-2-8b",
"microsoft/phi-3-medium-128k-instruct",
"microsoft/phi-3-medium-128k-instruct:free",
"microsoft/phi-3-mini-128k-instruct",
"microsoft/phi-3-mini-128k-instruct:free",
"microsoft/phi-3.5-mini-128k-instruct",
"microsoft/phi-4",
"microsoft/wizardlm-2-7b",
"microsoft/wizardlm-2-8x22b",
"minimax/minimax-01",
"mistralai/codestral-2501",
"mistralai/codestral-mamba",
"mistralai/ministral-3b",
"mistralai/ministral-8b",
"mistralai/mistral-7b-instruct",
"mistralai/mistral-7b-instruct-v0.1",
"mistralai/mistral-7b-instruct-v0.3",
"mistralai/mistral-7b-instruct:free",
"mistralai/mistral-large",
"mistralai/mistral-large-2407",
"mistralai/mistral-large-2411",
"mistralai/mistral-medium",
"mistralai/mistral-nemo",
"mistralai/mistral-nemo:free",
"mistralai/mistral-small",
"mistralai/mistral-small-24b-instruct-2501",
"mistralai/mistral-small-24b-instruct-2501:free",
"mistralai/mistral-tiny",
"mistralai/mixtral-8x22b-instruct",
"mistralai/mixtral-8x7b",
"mistralai/mixtral-8x7b-instruct",
"mistralai/pixtral-12b",
"mistralai/pixtral-large-2411",
"neversleep/llama-3-lumimaid-70b",
"neversleep/llama-3-lumimaid-8b",
"neversleep/llama-3-lumimaid-8b:extended",
"neversleep/llama-3.1-lumimaid-70b",
"neversleep/llama-3.1-lumimaid-8b",
"neversleep/noromaid-20b",
"nothingiisreal/mn-celeste-12b",
"nousresearch/hermes-2-pro-llama-3-8b",
"nousresearch/hermes-3-llama-3.1-405b",
"nousresearch/hermes-3-llama-3.1-70b",
"nousresearch/nous-hermes-2-mixtral-8x7b-dpo",
"nousresearch/nous-hermes-llama2-13b",
"nvidia/llama-3.1-nemotron-70b-instruct",
"nvidia/llama-3.1-nemotron-70b-instruct:free",
"openai/chatgpt-4o-latest",
"openai/gpt-3.5-turbo",
"openai/gpt-3.5-turbo-0125",
"openai/gpt-3.5-turbo-0613",
"openai/gpt-3.5-turbo-1106",
"openai/gpt-3.5-turbo-16k",
"openai/gpt-3.5-turbo-instruct",
"openai/gpt-4",
"openai/gpt-4-0314",
"openai/gpt-4-1106-preview",
"openai/gpt-4-32k",
"openai/gpt-4-32k-0314",
"openai/gpt-4-turbo",
"openai/gpt-4-turbo-preview",
"openai/gpt-4o",
"openai/gpt-4o-2024-05-13",
"openai/gpt-4o-2024-08-06",
"openai/gpt-4o-2024-11-20",
"openai/gpt-4o-mini",
"openai/gpt-4o-mini-2024-07-18",
"openai/gpt-4o:extended",
"openai/o1",
"openai/o1-mini",
"openai/o1-mini-2024-09-12",
"openai/o1-preview",
"openai/o1-preview-2024-09-12",
"openai/o3-mini",
"openai/o3-mini-high",
"openchat/openchat-7b",
"openchat/openchat-7b:free",
"openrouter/auto",
"perplexity/llama-3.1-sonar-huge-128k-online",
"perplexity/llama-3.1-sonar-large-128k-chat",
"perplexity/llama-3.1-sonar-large-128k-online",
"perplexity/llama-3.1-sonar-small-128k-chat",
"perplexity/llama-3.1-sonar-small-128k-online",
"perplexity/sonar",
"perplexity/sonar-reasoning",
"pygmalionai/mythalion-13b",
"qwen/qvq-72b-preview",
"qwen/qwen-2-72b-instruct",
"qwen/qwen-2-7b-instruct",
"qwen/qwen-2-7b-instruct:free",
"qwen/qwen-2-vl-72b-instruct",
"qwen/qwen-2-vl-7b-instruct",
"qwen/qwen-2.5-72b-instruct",
"qwen/qwen-2.5-7b-instruct",
"qwen/qwen-2.5-coder-32b-instruct",
"qwen/qwen-max",
"qwen/qwen-plus",
"qwen/qwen-turbo",
"qwen/qwen-vl-plus:free",
"qwen/qwen2.5-vl-72b-instruct:free",
"qwen/qwq-32b-preview",
"raifle/sorcererlm-8x22b",
"sao10k/fimbulvetr-11b-v2",
"sao10k/l3-euryale-70b",
"sao10k/l3-lunaris-8b",
"sao10k/l3.1-70b-hanami-x1",
"sao10k/l3.1-euryale-70b",
"sao10k/l3.3-euryale-70b",
"sophosympatheia/midnight-rose-70b",
"sophosympatheia/rogue-rose-103b-v0.2:free",
"teknium/openhermes-2.5-mistral-7b",
"thedrummer/rocinante-12b",
"thedrummer/unslopnemo-12b",
"undi95/remm-slerp-l2-13b",
"undi95/toppy-m-7b",
"undi95/toppy-m-7b:free",
"x-ai/grok-2-1212",
"x-ai/grok-2-vision-1212",
"x-ai/grok-beta",
"x-ai/grok-vision-beta",
"xwin-lm/xwin-lm-70b",
}

View File

@@ -36,7 +36,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return ConvertRequest(*request), nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -80,7 +80,7 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *me
return nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
return nil, errors.Errorf("not implement")
}

View File

@@ -23,7 +23,29 @@ type Adaptor struct {
}
// ConvertImageRequest implements adaptor.Adaptor.
func (*Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
return nil, errors.New("should call replicate.ConvertImageRequest instead")
}
func ConvertImageRequest(c *gin.Context, request *model.ImageRequest) (any, error) {
meta := meta.GetByContext(c)
if request.ResponseFormat != "b64_json" {
return nil, errors.New("only support b64_json response format")
}
if request.N != 1 && request.N != 0 {
return nil, errors.New("only support N=1")
}
switch meta.Mode {
case relaymode.ImagesGenerations:
return convertImageCreateRequest(request)
default:
return nil, errors.New("not implemented")
}
}
func convertImageCreateRequest(request *model.ImageRequest) (any, error) {
return DrawImageRequest{
Input: ImageInput{
Steps: 25,

View File

@@ -69,7 +69,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return convertedRequest, nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -1,18 +1,20 @@
package vertexai
import (
"errors"
"fmt"
"io"
"net/http"
"slices"
"strings"
"github.com/gin-gonic/gin"
"github.com/pkg/errors"
"github.com/songquanpeng/one-api/relay/adaptor"
channelhelper "github.com/songquanpeng/one-api/relay/adaptor"
"github.com/songquanpeng/one-api/relay/adaptor/vertexai/imagen"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
relaymodel "github.com/songquanpeng/one-api/relay/model"
relayModel "github.com/songquanpeng/one-api/relay/model"
)
var _ adaptor.Adaptor = new(Adaptor)
@@ -24,14 +26,27 @@ type Adaptor struct{}
func (a *Adaptor) Init(meta *meta.Meta) {
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
func (a *Adaptor) ConvertImageRequest(c *gin.Context, request *model.ImageRequest) (any, error) {
meta := meta.GetByContext(c)
if request.ResponseFormat != "b64_json" {
return nil, errors.New("only support b64_json response format")
}
adaptor := GetAdaptor(request.Model)
adaptor := GetAdaptor(meta.ActualModelName)
if adaptor == nil {
return nil, errors.New("adaptor not found")
return nil, errors.Errorf("cannot found vertex image adaptor for model %s", meta.ActualModelName)
}
return adaptor.ConvertImageRequest(c, request)
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
meta := meta.GetByContext(c)
adaptor := GetAdaptor(meta.ActualModelName)
if adaptor == nil {
return nil, errors.Errorf("cannot found vertex chat adaptor for model %s", meta.ActualModelName)
}
return adaptor.ConvertRequest(c, relayMode, request)
@@ -40,9 +55,9 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
adaptor := GetAdaptor(meta.ActualModelName)
if adaptor == nil {
return nil, &relaymodel.ErrorWithStatusCode{
return nil, &relayModel.ErrorWithStatusCode{
StatusCode: http.StatusInternalServerError,
Error: relaymodel.Error{
Error: relayModel.Error{
Message: "adaptor not found",
},
}
@@ -60,14 +75,19 @@ func (a *Adaptor) GetChannelName() string {
}
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
suffix := ""
if strings.HasPrefix(meta.ActualModelName, "gemini") {
var suffix string
switch {
case strings.HasPrefix(meta.ActualModelName, "gemini"):
if meta.IsStream {
suffix = "streamGenerateContent?alt=sse"
} else {
suffix = "generateContent"
}
} else {
case slices.Contains(imagen.ModelList, meta.ActualModelName):
return fmt.Sprintf("https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/google/models/imagen-3.0-generate-001:predict",
meta.Config.Region, meta.Config.VertexAIProjectID, meta.Config.Region,
), nil
default:
if meta.IsStream {
suffix = "streamRawPredict?alt=sse"
} else {
@@ -85,6 +105,7 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
suffix,
), nil
}
return fmt.Sprintf(
"https://%s-aiplatform.googleapis.com/v1/projects/%s/locations/%s/publishers/google/models/%s:%s",
meta.Config.Region,
@@ -105,13 +126,6 @@ func (a *Adaptor) SetupRequestHeader(c *gin.Context, req *http.Request, meta *me
return nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}
return request, nil
}
func (a *Adaptor) DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Reader) (*http.Response, error) {
return channelhelper.DoRequestHelper(a, c, meta, requestBody)
}

View File

@@ -50,6 +50,10 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return req, nil
}
func (a *Adaptor) ConvertImageRequest(c *gin.Context, request *model.ImageRequest) (any, error) {
return nil, errors.New("not support image request")
}
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
err, usage = anthropic.StreamHandler(c, resp)

View File

@@ -38,6 +38,10 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return geminiRequest, nil
}
func (a *Adaptor) ConvertImageRequest(c *gin.Context, request *model.ImageRequest) (any, error) {
return nil, errors.New("not support image request")
}
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
if meta.IsStream {
var responseText string

View File

@@ -0,0 +1,105 @@
package imagen
import (
"encoding/json"
"io"
"net/http"
"time"
"github.com/gin-gonic/gin"
"github.com/pkg/errors"
"github.com/songquanpeng/one-api/relay/adaptor/openai"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
"github.com/songquanpeng/one-api/relay/relaymode"
)
var ModelList = []string{
"imagen-3.0-generate-001",
}
type Adaptor struct {
}
func (a *Adaptor) ConvertImageRequest(c *gin.Context, request *model.ImageRequest) (any, error) {
meta := meta.GetByContext(c)
if request.ResponseFormat != "b64_json" {
return nil, errors.New("only support b64_json response format")
}
if request.N <= 0 {
return nil, errors.New("n must be greater than 0")
}
switch meta.Mode {
case relaymode.ImagesGenerations:
return convertImageCreateRequest(request)
default:
return nil, errors.New("not implemented")
}
}
func convertImageCreateRequest(request *model.ImageRequest) (any, error) {
return CreateImageRequest{
Instances: []createImageInstance{
{
Prompt: request.Prompt,
},
},
Parameters: createImageParameters{
SampleCount: request.N,
},
}, nil
}
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
return nil, errors.New("not implemented")
}
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, wrapErr *model.ErrorWithStatusCode) {
respBody, err := io.ReadAll(resp.Body)
if err != nil {
return nil, openai.ErrorWrapper(
errors.Wrap(err, "failed to read response body"),
"read_response_body",
http.StatusInternalServerError,
)
}
if resp.StatusCode != http.StatusOK {
return nil, openai.ErrorWrapper(
errors.Errorf("upstream response status code: %d, body: %s", resp.StatusCode, string(respBody)),
"upstream_response",
http.StatusInternalServerError,
)
}
imagenResp := new(CreateImageResponse)
if err := json.Unmarshal(respBody, imagenResp); err != nil {
return nil, openai.ErrorWrapper(
errors.Wrap(err, "failed to decode response body"),
"unmarshal_upstream_response",
http.StatusInternalServerError,
)
}
if len(imagenResp.Predictions) == 0 {
return nil, openai.ErrorWrapper(
errors.New("empty predictions"),
"empty_predictions",
http.StatusInternalServerError,
)
}
oaiResp := openai.ImageResponse{
Created: time.Now().Unix(),
}
for _, prediction := range imagenResp.Predictions {
oaiResp.Data = append(oaiResp.Data, openai.ImageData{
B64Json: prediction.BytesBase64Encoded,
})
}
c.JSON(http.StatusOK, oaiResp)
return nil, nil
}

View File

@@ -0,0 +1,23 @@
package imagen
type CreateImageRequest struct {
Instances []createImageInstance `json:"instances" binding:"required,min=1"`
Parameters createImageParameters `json:"parameters" binding:"required"`
}
type createImageInstance struct {
Prompt string `json:"prompt"`
}
type createImageParameters struct {
SampleCount int `json:"sample_count" binding:"required,min=1"`
}
type CreateImageResponse struct {
Predictions []createImageResponsePrediction `json:"predictions"`
}
type createImageResponsePrediction struct {
MimeType string `json:"mimeType"`
BytesBase64Encoded string `json:"bytesBase64Encoded"`
}

View File

@@ -6,6 +6,7 @@ import (
"github.com/gin-gonic/gin"
claude "github.com/songquanpeng/one-api/relay/adaptor/vertexai/claude"
gemini "github.com/songquanpeng/one-api/relay/adaptor/vertexai/gemini"
"github.com/songquanpeng/one-api/relay/adaptor/vertexai/imagen"
"github.com/songquanpeng/one-api/relay/meta"
"github.com/songquanpeng/one-api/relay/model"
)
@@ -13,8 +14,9 @@ import (
type VertexAIModelType int
const (
VerterAIClaude VertexAIModelType = iota + 1
VerterAIGemini
VertexAIClaude VertexAIModelType = iota + 1
VertexAIGemini
VertexAIImagen
)
var modelMapping = map[string]VertexAIModelType{}
@@ -23,27 +25,35 @@ var modelList = []string{}
func init() {
modelList = append(modelList, claude.ModelList...)
for _, model := range claude.ModelList {
modelMapping[model] = VerterAIClaude
modelMapping[model] = VertexAIClaude
}
modelList = append(modelList, gemini.ModelList...)
for _, model := range gemini.ModelList {
modelMapping[model] = VerterAIGemini
modelMapping[model] = VertexAIGemini
}
modelList = append(modelList, imagen.ModelList...)
for _, model := range imagen.ModelList {
modelMapping[model] = VertexAIImagen
}
}
type innerAIAdapter interface {
ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error)
ConvertImageRequest(c *gin.Context, request *model.ImageRequest) (any, error)
DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode)
}
func GetAdaptor(model string) innerAIAdapter {
adaptorType := modelMapping[model]
switch adaptorType {
case VerterAIClaude:
case VertexAIClaude:
return &claude.Adaptor{}
case VerterAIGemini:
case VertexAIGemini:
return &gemini.Adaptor{}
case VertexAIImagen:
return &imagen.Adaptor{}
default:
return nil
}

View File

@@ -39,7 +39,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
return nil, nil
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -80,7 +80,7 @@ func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.G
}
}
func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error) {
func (a *Adaptor) ConvertImageRequest(_ *gin.Context, request *model.ImageRequest) (any, error) {
if request == nil {
return nil, errors.New("request is nil")
}

View File

@@ -59,6 +59,8 @@ var ModelRatio = map[string]float64{
"o1-preview-2024-09-12": 7.5,
"o1-mini": 1.5, // $3.00 / 1M input tokens
"o1-mini-2024-09-12": 1.5,
"o3-mini": 1.5, // $3.00 / 1M input tokens
"o3-mini-2025-01-31": 1.5,
"davinci-002": 1, // $0.002 / 1K tokens
"babbage-002": 0.2, // $0.0004 / 1K tokens
"text-ada-001": 0.2,
@@ -159,91 +161,105 @@ var ModelRatio = map[string]float64{
"embedding-2": 0.0005 * RMB,
"embedding-3": 0.0005 * RMB,
// https://help.aliyun.com/zh/dashscope/developer-reference/tongyi-thousand-questions-metering-and-billing
"qwen-turbo": 1.4286, // ¥0.02 / 1k tokens
"qwen-turbo-latest": 1.4286,
"qwen-plus": 1.4286,
"qwen-plus-latest": 1.4286,
"qwen-max": 1.4286,
"qwen-max-latest": 1.4286,
"qwen-max-longcontext": 1.4286,
"qwen-vl-max": 1.4286,
"qwen-vl-max-latest": 1.4286,
"qwen-vl-plus": 1.4286,
"qwen-vl-plus-latest": 1.4286,
"qwen-vl-ocr": 1.4286,
"qwen-vl-ocr-latest": 1.4286,
"qwen-audio-turbo": 1.4286,
"qwen-math-plus": 1.4286,
"qwen-math-plus-latest": 1.4286,
"qwen-math-turbo": 1.4286,
"qwen-math-turbo-latest": 1.4286,
"qwen-coder-plus": 1.4286,
"qwen-coder-plus-latest": 1.4286,
"qwen-coder-turbo": 1.4286,
"qwen-coder-turbo-latest": 1.4286,
"qwq-32b-preview": 1.4286,
"qwen2.5-72b-instruct": 1.4286,
"qwen2.5-32b-instruct": 1.4286,
"qwen2.5-14b-instruct": 1.4286,
"qwen2.5-7b-instruct": 1.4286,
"qwen2.5-3b-instruct": 1.4286,
"qwen2.5-1.5b-instruct": 1.4286,
"qwen2.5-0.5b-instruct": 1.4286,
"qwen2-72b-instruct": 1.4286,
"qwen2-57b-a14b-instruct": 1.4286,
"qwen2-7b-instruct": 1.4286,
"qwen2-1.5b-instruct": 1.4286,
"qwen2-0.5b-instruct": 1.4286,
"qwen1.5-110b-chat": 1.4286,
"qwen1.5-72b-chat": 1.4286,
"qwen1.5-32b-chat": 1.4286,
"qwen1.5-14b-chat": 1.4286,
"qwen1.5-7b-chat": 1.4286,
"qwen1.5-1.8b-chat": 1.4286,
"qwen1.5-0.5b-chat": 1.4286,
"qwen-72b-chat": 1.4286,
"qwen-14b-chat": 1.4286,
"qwen-7b-chat": 1.4286,
"qwen-1.8b-chat": 1.4286,
"qwen-1.8b-longcontext-chat": 1.4286,
"qwen2-vl-7b-instruct": 1.4286,
"qwen2-vl-2b-instruct": 1.4286,
"qwen-vl-v1": 1.4286,
"qwen-vl-chat-v1": 1.4286,
"qwen2-audio-instruct": 1.4286,
"qwen-audio-chat": 1.4286,
"qwen2.5-math-72b-instruct": 1.4286,
"qwen2.5-math-7b-instruct": 1.4286,
"qwen2.5-math-1.5b-instruct": 1.4286,
"qwen2-math-72b-instruct": 1.4286,
"qwen2-math-7b-instruct": 1.4286,
"qwen2-math-1.5b-instruct": 1.4286,
"qwen2.5-coder-32b-instruct": 1.4286,
"qwen2.5-coder-14b-instruct": 1.4286,
"qwen2.5-coder-7b-instruct": 1.4286,
"qwen2.5-coder-3b-instruct": 1.4286,
"qwen2.5-coder-1.5b-instruct": 1.4286,
"qwen2.5-coder-0.5b-instruct": 1.4286,
"text-embedding-v1": 0.05, // ¥0.0007 / 1k tokens
"text-embedding-v3": 0.05,
"text-embedding-v2": 0.05,
"text-embedding-async-v2": 0.05,
"text-embedding-async-v1": 0.05,
"ali-stable-diffusion-xl": 8.00,
"ali-stable-diffusion-v1.5": 8.00,
"wanx-v1": 8.00,
"SparkDesk": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v1.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.1-128K": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.5-32K": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v4.0": 1.2858, // ¥0.018 / 1k tokens
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
"qwen-turbo": 0.0003 * RMB,
"qwen-turbo-latest": 0.0003 * RMB,
"qwen-plus": 0.0008 * RMB,
"qwen-plus-latest": 0.0008 * RMB,
"qwen-max": 0.0024 * RMB,
"qwen-max-latest": 0.0024 * RMB,
"qwen-max-longcontext": 0.0005 * RMB,
"qwen-vl-max": 0.003 * RMB,
"qwen-vl-max-latest": 0.003 * RMB,
"qwen-vl-plus": 0.0015 * RMB,
"qwen-vl-plus-latest": 0.0015 * RMB,
"qwen-vl-ocr": 0.005 * RMB,
"qwen-vl-ocr-latest": 0.005 * RMB,
"qwen-audio-turbo": 1.4286,
"qwen-math-plus": 0.004 * RMB,
"qwen-math-plus-latest": 0.004 * RMB,
"qwen-math-turbo": 0.002 * RMB,
"qwen-math-turbo-latest": 0.002 * RMB,
"qwen-coder-plus": 0.0035 * RMB,
"qwen-coder-plus-latest": 0.0035 * RMB,
"qwen-coder-turbo": 0.002 * RMB,
"qwen-coder-turbo-latest": 0.002 * RMB,
"qwen-mt-plus": 0.015 * RMB,
"qwen-mt-turbo": 0.001 * RMB,
"qwq-32b-preview": 0.002 * RMB,
"qwen2.5-72b-instruct": 0.004 * RMB,
"qwen2.5-32b-instruct": 0.03 * RMB,
"qwen2.5-14b-instruct": 0.001 * RMB,
"qwen2.5-7b-instruct": 0.0005 * RMB,
"qwen2.5-3b-instruct": 0.006 * RMB,
"qwen2.5-1.5b-instruct": 0.0003 * RMB,
"qwen2.5-0.5b-instruct": 0.0003 * RMB,
"qwen2-72b-instruct": 0.004 * RMB,
"qwen2-57b-a14b-instruct": 0.0035 * RMB,
"qwen2-7b-instruct": 0.001 * RMB,
"qwen2-1.5b-instruct": 0.001 * RMB,
"qwen2-0.5b-instruct": 0.001 * RMB,
"qwen1.5-110b-chat": 0.007 * RMB,
"qwen1.5-72b-chat": 0.005 * RMB,
"qwen1.5-32b-chat": 0.0035 * RMB,
"qwen1.5-14b-chat": 0.002 * RMB,
"qwen1.5-7b-chat": 0.001 * RMB,
"qwen1.5-1.8b-chat": 0.001 * RMB,
"qwen1.5-0.5b-chat": 0.001 * RMB,
"qwen-72b-chat": 0.02 * RMB,
"qwen-14b-chat": 0.008 * RMB,
"qwen-7b-chat": 0.006 * RMB,
"qwen-1.8b-chat": 0.006 * RMB,
"qwen-1.8b-longcontext-chat": 0.006 * RMB,
"qvq-72b-preview": 0.012 * RMB,
"qwen2.5-vl-72b-instruct": 0.016 * RMB,
"qwen2.5-vl-7b-instruct": 0.002 * RMB,
"qwen2.5-vl-3b-instruct": 0.0012 * RMB,
"qwen2-vl-7b-instruct": 0.016 * RMB,
"qwen2-vl-2b-instruct": 0.002 * RMB,
"qwen-vl-v1": 0.002 * RMB,
"qwen-vl-chat-v1": 0.002 * RMB,
"qwen2-audio-instruct": 0.002 * RMB,
"qwen-audio-chat": 0.002 * RMB,
"qwen2.5-math-72b-instruct": 0.004 * RMB,
"qwen2.5-math-7b-instruct": 0.001 * RMB,
"qwen2.5-math-1.5b-instruct": 0.001 * RMB,
"qwen2-math-72b-instruct": 0.004 * RMB,
"qwen2-math-7b-instruct": 0.001 * RMB,
"qwen2-math-1.5b-instruct": 0.001 * RMB,
"qwen2.5-coder-32b-instruct": 0.002 * RMB,
"qwen2.5-coder-14b-instruct": 0.002 * RMB,
"qwen2.5-coder-7b-instruct": 0.001 * RMB,
"qwen2.5-coder-3b-instruct": 0.001 * RMB,
"qwen2.5-coder-1.5b-instruct": 0.001 * RMB,
"qwen2.5-coder-0.5b-instruct": 0.001 * RMB,
"text-embedding-v1": 0.0007 * RMB, // ¥0.0007 / 1k tokens
"text-embedding-v3": 0.0007 * RMB,
"text-embedding-v2": 0.0007 * RMB,
"text-embedding-async-v2": 0.0007 * RMB,
"text-embedding-async-v1": 0.0007 * RMB,
"ali-stable-diffusion-xl": 8.00,
"ali-stable-diffusion-v1.5": 8.00,
"wanx-v1": 8.00,
"deepseek-r1": 0.002 * RMB,
"deepseek-v3": 0.001 * RMB,
"deepseek-r1-distill-qwen-1.5b": 0.001 * RMB,
"deepseek-r1-distill-qwen-7b": 0.0005 * RMB,
"deepseek-r1-distill-qwen-14b": 0.001 * RMB,
"deepseek-r1-distill-qwen-32b": 0.002 * RMB,
"deepseek-r1-distill-llama-8b": 0.0005 * RMB,
"deepseek-r1-distill-llama-70b": 0.004 * RMB,
"SparkDesk": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v1.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v2.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.1": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.1-128K": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.5": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v3.5-32K": 1.2858, // ¥0.018 / 1k tokens
"SparkDesk-v4.0": 1.2858, // ¥0.018 / 1k tokens
"360GPT_S2_V9": 0.8572, // ¥0.012 / 1k tokens
"embedding-bert-512-v1": 0.0715, // ¥0.001 / 1k tokens
"embedding_s1_v1": 0.0715, // ¥0.001 / 1k tokens
"semantic_similarity_s1_v1": 0.0715, // ¥0.001 / 1k tokens
// https://cloud.tencent.com/document/product/1729/97731#e0e6be58-60c8-469f-bdeb-6c264ce3b4d0
"hunyuan-turbo": 0.015 * RMB,
"hunyuan-large": 0.004 * RMB,
@@ -327,6 +343,9 @@ var ModelRatio = map[string]float64{
"deepl-ja": 25.0 / 1000 * USD,
// https://console.x.ai/
"grok-beta": 5.0 / 1000 * USD,
// vertex imagen3
// https://cloud.google.com/vertex-ai/generative-ai/pricing#imagen-models
"imagen-3.0-generate-001": 0.02 * USD,
// replicate charges based on the number of generated images
// https://replicate.com/pricing
"black-forest-labs/flux-1.1-pro": 0.04 * USD,
@@ -371,6 +390,238 @@ var ModelRatio = map[string]float64{
"mistralai/mistral-7b-instruct-v0.2": 0.050 * USD,
"mistralai/mistral-7b-v0.1": 0.050 * USD,
"mistralai/mixtral-8x7b-instruct-v0.1": 0.300 * USD,
//https://openrouter.ai/models
"01-ai/yi-large": 1.5,
"aetherwiing/mn-starcannon-12b": 0.6,
"ai21/jamba-1-5-large": 4.0,
"ai21/jamba-1-5-mini": 0.2,
"ai21/jamba-instruct": 0.35,
"aion-labs/aion-1.0": 6.0,
"aion-labs/aion-1.0-mini": 1.2,
"aion-labs/aion-rp-llama-3.1-8b": 0.1,
"allenai/llama-3.1-tulu-3-405b": 5.0,
"alpindale/goliath-120b": 4.6875,
"alpindale/magnum-72b": 1.125,
"amazon/nova-lite-v1": 0.12,
"amazon/nova-micro-v1": 0.07,
"amazon/nova-pro-v1": 1.6,
"anthracite-org/magnum-v2-72b": 1.5,
"anthracite-org/magnum-v4-72b": 1.125,
"anthropic/claude-2": 12.0,
"anthropic/claude-2.0": 12.0,
"anthropic/claude-2.0:beta": 12.0,
"anthropic/claude-2.1": 12.0,
"anthropic/claude-2.1:beta": 12.0,
"anthropic/claude-2:beta": 12.0,
"anthropic/claude-3-haiku": 0.625,
"anthropic/claude-3-haiku:beta": 0.625,
"anthropic/claude-3-opus": 37.5,
"anthropic/claude-3-opus:beta": 37.5,
"anthropic/claude-3-sonnet": 7.5,
"anthropic/claude-3-sonnet:beta": 7.5,
"anthropic/claude-3.5-haiku": 2.0,
"anthropic/claude-3.5-haiku-20241022": 2.0,
"anthropic/claude-3.5-haiku-20241022:beta": 2.0,
"anthropic/claude-3.5-haiku:beta": 2.0,
"anthropic/claude-3.5-sonnet": 7.5,
"anthropic/claude-3.5-sonnet-20240620": 7.5,
"anthropic/claude-3.5-sonnet-20240620:beta": 7.5,
"anthropic/claude-3.5-sonnet:beta": 7.5,
"cognitivecomputations/dolphin-mixtral-8x22b": 0.45,
"cognitivecomputations/dolphin-mixtral-8x7b": 0.25,
"cohere/command": 0.95,
"cohere/command-r": 0.7125,
"cohere/command-r-03-2024": 0.7125,
"cohere/command-r-08-2024": 0.285,
"cohere/command-r-plus": 7.125,
"cohere/command-r-plus-04-2024": 7.125,
"cohere/command-r-plus-08-2024": 4.75,
"cohere/command-r7b-12-2024": 0.075,
"databricks/dbrx-instruct": 0.6,
"deepseek/deepseek-chat": 0.445,
"deepseek/deepseek-chat-v2.5": 1.0,
"deepseek/deepseek-chat:free": 0.0,
"deepseek/deepseek-r1": 1.2,
"deepseek/deepseek-r1-distill-llama-70b": 0.345,
"deepseek/deepseek-r1-distill-llama-70b:free": 0.0,
"deepseek/deepseek-r1-distill-llama-8b": 0.02,
"deepseek/deepseek-r1-distill-qwen-1.5b": 0.09,
"deepseek/deepseek-r1-distill-qwen-14b": 0.075,
"deepseek/deepseek-r1-distill-qwen-32b": 0.09,
"deepseek/deepseek-r1:free": 0.0,
"eva-unit-01/eva-llama-3.33-70b": 3.0,
"eva-unit-01/eva-qwen-2.5-32b": 1.7,
"eva-unit-01/eva-qwen-2.5-72b": 3.0,
"google/gemini-2.0-flash-001": 0.2,
"google/gemini-2.0-flash-exp:free": 0.0,
"google/gemini-2.0-flash-lite-preview-02-05:free": 0.0,
"google/gemini-2.0-flash-thinking-exp-1219:free": 0.0,
"google/gemini-2.0-flash-thinking-exp:free": 0.0,
"google/gemini-2.0-pro-exp-02-05:free": 0.0,
"google/gemini-exp-1206:free": 0.0,
"google/gemini-flash-1.5": 0.15,
"google/gemini-flash-1.5-8b": 0.075,
"google/gemini-flash-1.5-8b-exp": 0.0,
"google/gemini-pro": 0.75,
"google/gemini-pro-1.5": 2.5,
"google/gemini-pro-vision": 0.75,
"google/gemma-2-27b-it": 0.135,
"google/gemma-2-9b-it": 0.03,
"google/gemma-2-9b-it:free": 0.0,
"google/gemma-7b-it": 0.075,
"google/learnlm-1.5-pro-experimental:free": 0.0,
"google/palm-2-chat-bison": 1.0,
"google/palm-2-chat-bison-32k": 1.0,
"google/palm-2-codechat-bison": 1.0,
"google/palm-2-codechat-bison-32k": 1.0,
"gryphe/mythomax-l2-13b": 0.0325,
"gryphe/mythomax-l2-13b:free": 0.0,
"huggingfaceh4/zephyr-7b-beta:free": 0.0,
"infermatic/mn-inferor-12b": 0.6,
"inflection/inflection-3-pi": 5.0,
"inflection/inflection-3-productivity": 5.0,
"jondurbin/airoboros-l2-70b": 0.25,
"liquid/lfm-3b": 0.01,
"liquid/lfm-40b": 0.075,
"liquid/lfm-7b": 0.005,
"mancer/weaver": 1.125,
"meta-llama/llama-2-13b-chat": 0.11,
"meta-llama/llama-2-70b-chat": 0.45,
"meta-llama/llama-3-70b-instruct": 0.2,
"meta-llama/llama-3-8b-instruct": 0.03,
"meta-llama/llama-3-8b-instruct:free": 0.0,
"meta-llama/llama-3.1-405b": 1.0,
"meta-llama/llama-3.1-405b-instruct": 0.4,
"meta-llama/llama-3.1-70b-instruct": 0.15,
"meta-llama/llama-3.1-8b-instruct": 0.025,
"meta-llama/llama-3.2-11b-vision-instruct": 0.0275,
"meta-llama/llama-3.2-11b-vision-instruct:free": 0.0,
"meta-llama/llama-3.2-1b-instruct": 0.005,
"meta-llama/llama-3.2-3b-instruct": 0.0125,
"meta-llama/llama-3.2-90b-vision-instruct": 0.8,
"meta-llama/llama-3.3-70b-instruct": 0.15,
"meta-llama/llama-3.3-70b-instruct:free": 0.0,
"meta-llama/llama-guard-2-8b": 0.1,
"microsoft/phi-3-medium-128k-instruct": 0.5,
"microsoft/phi-3-medium-128k-instruct:free": 0.0,
"microsoft/phi-3-mini-128k-instruct": 0.05,
"microsoft/phi-3-mini-128k-instruct:free": 0.0,
"microsoft/phi-3.5-mini-128k-instruct": 0.05,
"microsoft/phi-4": 0.07,
"microsoft/wizardlm-2-7b": 0.035,
"microsoft/wizardlm-2-8x22b": 0.25,
"minimax/minimax-01": 0.55,
"mistralai/codestral-2501": 0.45,
"mistralai/codestral-mamba": 0.125,
"mistralai/ministral-3b": 0.02,
"mistralai/ministral-8b": 0.05,
"mistralai/mistral-7b-instruct": 0.0275,
"mistralai/mistral-7b-instruct-v0.1": 0.1,
"mistralai/mistral-7b-instruct-v0.3": 0.0275,
"mistralai/mistral-7b-instruct:free": 0.0,
"mistralai/mistral-large": 3.0,
"mistralai/mistral-large-2407": 3.0,
"mistralai/mistral-large-2411": 3.0,
"mistralai/mistral-medium": 4.05,
"mistralai/mistral-nemo": 0.04,
"mistralai/mistral-nemo:free": 0.0,
"mistralai/mistral-small": 0.3,
"mistralai/mistral-small-24b-instruct-2501": 0.07,
"mistralai/mistral-small-24b-instruct-2501:free": 0.0,
"mistralai/mistral-tiny": 0.125,
"mistralai/mixtral-8x22b-instruct": 0.45,
"mistralai/mixtral-8x7b": 0.3,
"mistralai/mixtral-8x7b-instruct": 0.12,
"mistralai/pixtral-12b": 0.05,
"mistralai/pixtral-large-2411": 3.0,
"neversleep/llama-3-lumimaid-70b": 2.25,
"neversleep/llama-3-lumimaid-8b": 0.5625,
"neversleep/llama-3-lumimaid-8b:extended": 0.5625,
"neversleep/llama-3.1-lumimaid-70b": 2.25,
"neversleep/llama-3.1-lumimaid-8b": 0.5625,
"neversleep/noromaid-20b": 1.125,
"nothingiisreal/mn-celeste-12b": 0.6,
"nousresearch/hermes-2-pro-llama-3-8b": 0.02,
"nousresearch/hermes-3-llama-3.1-405b": 0.4,
"nousresearch/hermes-3-llama-3.1-70b": 0.15,
"nousresearch/nous-hermes-2-mixtral-8x7b-dpo": 0.3,
"nousresearch/nous-hermes-llama2-13b": 0.085,
"nvidia/llama-3.1-nemotron-70b-instruct": 0.15,
"nvidia/llama-3.1-nemotron-70b-instruct:free": 0.0,
"openai/chatgpt-4o-latest": 7.5,
"openai/gpt-3.5-turbo": 0.75,
"openai/gpt-3.5-turbo-0125": 0.75,
"openai/gpt-3.5-turbo-0613": 1.0,
"openai/gpt-3.5-turbo-1106": 1.0,
"openai/gpt-3.5-turbo-16k": 2.0,
"openai/gpt-3.5-turbo-instruct": 1.0,
"openai/gpt-4": 30.0,
"openai/gpt-4-0314": 30.0,
"openai/gpt-4-1106-preview": 15.0,
"openai/gpt-4-32k": 60.0,
"openai/gpt-4-32k-0314": 60.0,
"openai/gpt-4-turbo": 15.0,
"openai/gpt-4-turbo-preview": 15.0,
"openai/gpt-4o": 5.0,
"openai/gpt-4o-2024-05-13": 7.5,
"openai/gpt-4o-2024-08-06": 5.0,
"openai/gpt-4o-2024-11-20": 5.0,
"openai/gpt-4o-mini": 0.3,
"openai/gpt-4o-mini-2024-07-18": 0.3,
"openai/gpt-4o:extended": 9.0,
"openai/o1": 30.0,
"openai/o1-mini": 2.2,
"openai/o1-mini-2024-09-12": 2.2,
"openai/o1-preview": 30.0,
"openai/o1-preview-2024-09-12": 30.0,
"openai/o3-mini": 2.2,
"openai/o3-mini-high": 2.2,
"openchat/openchat-7b": 0.0275,
"openchat/openchat-7b:free": 0.0,
"openrouter/auto": -500000.0,
"perplexity/llama-3.1-sonar-huge-128k-online": 2.5,
"perplexity/llama-3.1-sonar-large-128k-chat": 0.5,
"perplexity/llama-3.1-sonar-large-128k-online": 0.5,
"perplexity/llama-3.1-sonar-small-128k-chat": 0.1,
"perplexity/llama-3.1-sonar-small-128k-online": 0.1,
"perplexity/sonar": 0.5,
"perplexity/sonar-reasoning": 2.5,
"pygmalionai/mythalion-13b": 0.6,
"qwen/qvq-72b-preview": 0.25,
"qwen/qwen-2-72b-instruct": 0.45,
"qwen/qwen-2-7b-instruct": 0.027,
"qwen/qwen-2-7b-instruct:free": 0.0,
"qwen/qwen-2-vl-72b-instruct": 0.2,
"qwen/qwen-2-vl-7b-instruct": 0.05,
"qwen/qwen-2.5-72b-instruct": 0.2,
"qwen/qwen-2.5-7b-instruct": 0.025,
"qwen/qwen-2.5-coder-32b-instruct": 0.08,
"qwen/qwen-max": 3.2,
"qwen/qwen-plus": 0.6,
"qwen/qwen-turbo": 0.1,
"qwen/qwen-vl-plus:free": 0.0,
"qwen/qwen2.5-vl-72b-instruct:free": 0.0,
"qwen/qwq-32b-preview": 0.09,
"raifle/sorcererlm-8x22b": 2.25,
"sao10k/fimbulvetr-11b-v2": 0.6,
"sao10k/l3-euryale-70b": 0.4,
"sao10k/l3-lunaris-8b": 0.03,
"sao10k/l3.1-70b-hanami-x1": 1.5,
"sao10k/l3.1-euryale-70b": 0.4,
"sao10k/l3.3-euryale-70b": 0.4,
"sophosympatheia/midnight-rose-70b": 0.4,
"sophosympatheia/rogue-rose-103b-v0.2:free": 0.0,
"teknium/openhermes-2.5-mistral-7b": 0.085,
"thedrummer/rocinante-12b": 0.25,
"thedrummer/unslopnemo-12b": 0.25,
"undi95/remm-slerp-l2-13b": 0.6,
"undi95/toppy-m-7b": 0.035,
"undi95/toppy-m-7b:free": 0.0,
"x-ai/grok-2-1212": 5.0,
"x-ai/grok-2-vision-1212": 5.0,
"x-ai/grok-beta": 7.5,
"x-ai/grok-vision-beta": 7.5,
"xwin-lm/xwin-lm-70b": 1.875,
}
var CompletionRatio = map[string]float64{

View File

@@ -51,5 +51,7 @@ const (
BaiduV2
XunfeiV2
AliBailian
OpenAICompatible
GeminiOpenAICompatible
Dummy
)

View File

@@ -51,6 +51,9 @@ var ChannelBaseURLs = []string{
"https://qianfan.baidubce.com", // 47
"https://spark-api-open.xf-yun.com", // 48
"https://dashscope.aliyuncs.com", // 49
"", // 50
"https://generativelanguage.googleapis.com/v1beta/openai/", // 51
}
func init() {

View File

@@ -19,7 +19,7 @@ import (
"github.com/songquanpeng/one-api/relay/adaptor/openai"
billingratio "github.com/songquanpeng/one-api/relay/billing/ratio"
"github.com/songquanpeng/one-api/relay/channeltype"
"github.com/songquanpeng/one-api/relay/meta"
metalib "github.com/songquanpeng/one-api/relay/meta"
relaymodel "github.com/songquanpeng/one-api/relay/model"
)
@@ -66,7 +66,7 @@ func getImageSizeRatio(model string, size string) float64 {
return 1
}
func validateImageRequest(imageRequest *relaymodel.ImageRequest, _ *meta.Meta) *relaymodel.ErrorWithStatusCode {
func validateImageRequest(imageRequest *relaymodel.ImageRequest, _ *metalib.Meta) *relaymodel.ErrorWithStatusCode {
// check prompt length
if imageRequest.Prompt == "" {
return openai.ErrorWrapper(errors.New("prompt is required"), "prompt_missing", http.StatusBadRequest)
@@ -105,7 +105,7 @@ func getImageCostRatio(imageRequest *relaymodel.ImageRequest) (float64, error) {
func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatusCode {
ctx := c.Request.Context()
meta := meta.GetByContext(c)
meta := metalib.GetByContext(c)
imageRequest, err := getImageRequest(c, meta.Mode)
if err != nil {
logger.Errorf(ctx, "getImageRequest failed: %s", err.Error())
@@ -117,6 +117,7 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
meta.OriginModelName = imageRequest.Model
imageRequest.Model, isModelMapped = getMappedModelName(imageRequest.Model, meta.ModelMapping)
meta.ActualModelName = imageRequest.Model
metalib.Set2Context(c, meta)
// model validation
bizErr := validateImageRequest(imageRequest, meta)
@@ -156,8 +157,9 @@ func RelayImageHelper(c *gin.Context, relayMode int) *relaymodel.ErrorWithStatus
case channeltype.Zhipu,
channeltype.Ali,
channeltype.Replicate,
channeltype.VertextAI,
channeltype.Baidu:
finalRequest, err := adaptor.ConvertImageRequest(imageRequest)
finalRequest, err := adaptor.ConvertImageRequest(c, imageRequest)
if err != nil {
return openai.ErrorWrapper(err, "convert_image_request_failed", http.StatusInternalServerError)
}

View File

@@ -38,6 +38,10 @@ type Meta struct {
}
func GetByContext(c *gin.Context) *Meta {
if v, ok := c.Get(ctxkey.Meta); ok {
return v.(*Meta)
}
meta := Meta{
Mode: relaymode.GetByPath(c.Request.URL.Path),
ChannelType: c.GetInt(ctxkey.Channel),
@@ -62,5 +66,11 @@ func GetByContext(c *gin.Context) *Meta {
meta.BaseURL = channeltype.ChannelBaseURLs[meta.ChannelType]
}
meta.APIType = channeltype.ToAPIType(meta.ChannelType)
Set2Context(c, &meta)
return &meta
}
func Set2Context(c *gin.Context, meta *Meta) {
c.Set(ctxkey.Meta, meta)
}

View File

@@ -1,17 +1,7 @@
import React, { useEffect, useState } from 'react';
import { useTranslation } from 'react-i18next';
import {
Button,
Dropdown,
Form,
Input,
Label,
Message,
Pagination,
Popup,
Table,
} from 'semantic-ui-react';
import { Link } from 'react-router-dom';
import React, {useEffect, useState} from 'react';
import {useTranslation} from 'react-i18next';
import {Button, Dropdown, Form, Input, Label, Message, Pagination, Popup, Table,} from 'semantic-ui-react';
import {Link} from 'react-router-dom';
import {
API,
loadChannelModels,
@@ -23,8 +13,8 @@ import {
timestamp2string,
} from '../helpers';
import { CHANNEL_OPTIONS, ITEMS_PER_PAGE } from '../constants';
import { renderGroup, renderNumber } from '../helpers/render';
import {CHANNEL_OPTIONS, ITEMS_PER_PAGE} from '../constants';
import {renderGroup, renderNumber} from '../helpers/render';
function renderTimestamp(timestamp) {
return <>{timestamp2string(timestamp)}</>;
@@ -54,6 +44,9 @@ function renderType(type, t) {
function renderBalance(type, balance, t) {
switch (type) {
case 1: // OpenAI
if (balance === 0) {
return <span>{t('channel.table.balance_not_supported')}</span>;
}
return <span>${balance.toFixed(2)}</span>;
case 4: // CloseAI
return <span>¥{balance.toFixed(2)}</span>;

View File

@@ -1,12 +1,26 @@
export const CHANNEL_OPTIONS = [
{key: 1, text: 'OpenAI', value: 1, color: 'green'},
{key: 14, text: 'Anthropic Claude', value: 14, color: 'black'},
{key: 33, text: 'AWS', value: 33, color: 'black'},
{key: 3, text: 'Azure OpenAI', value: 3, color: 'olive'},
{key: 11, text: 'Google PaLM2', value: 11, color: 'orange'},
{key: 24, text: 'Google Gemini', value: 24, color: 'orange'},
{key: 28, text: 'Mistral AI', value: 28, color: 'orange'},
{key: 41, text: 'Novita', value: 41, color: 'purple'},
{ key: 1, text: 'OpenAI', value: 1, color: 'green' },
{
key: 50,
text: 'OpenAI 兼容',
value: 50,
color: 'olive',
description: 'OpenAI 兼容渠道,支持设置 Base URL',
},
{key: 14, text: 'Anthropic', value: 14, color: 'black'},
{ key: 33, text: 'AWS', value: 33, color: 'black' },
{key: 3, text: 'Azure', value: 3, color: 'olive'},
{key: 11, text: 'PaLM2', value: 11, color: 'orange'},
{key: 24, text: 'Gemini', value: 24, color: 'orange'},
{
key: 51,
text: 'Gemini (OpenAI)',
value: 51,
color: 'orange',
description: 'Gemini OpenAI 兼容格式',
},
{ key: 28, text: 'Mistral AI', value: 28, color: 'orange' },
{ key: 41, text: 'Novita', value: 41, color: 'purple' },
{
key: 40,
text: '字节火山引擎',
@@ -28,14 +42,14 @@ export const CHANNEL_OPTIONS = [
color: 'blue',
tip: '请前往<a href="https://console.bce.baidu.com/iam/#/iam/apikey/list" target="_blank">此处</a>获取 API Key注意本渠道仅支持<a target="_blank" href="https://cloud.baidu.com/doc/WENXINWORKSHOP/s/em4tsqo3v">推理服务 V2</a>相关模型',
},
{
key: 17,
text: '阿里通义千问',
value: 17,
color: 'orange',
tip: '如需使用阿里云百炼,请使用<strong>阿里云百炼</strong>渠道',
},
{key: 49, text: '阿里云百炼', value: 49, color: 'orange'},
{
key: 17,
text: '阿里通义千问',
value: 17,
color: 'orange',
tip: '如需使用阿里云百炼,请使用<strong>阿里云百炼</strong>渠道',
},
{ key: 49, text: '阿里云百炼', value: 49, color: 'orange' },
{
key: 18,
text: '讯飞星火认知',
@@ -50,38 +64,45 @@ export const CHANNEL_OPTIONS = [
color: 'blue',
tip: 'HTTP 版本的讯飞接口,前往<a href="https://console.xfyun.cn/services/cbm" target="_blank">此处</a>获取 HTTP 服务接口认证密钥',
},
{key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet'},
{key: 19, text: '360 智脑', value: 19, color: 'blue'},
{key: 25, text: 'Moonshot AI', value: 25, color: 'black'},
{key: 23, text: '腾讯混元', value: 23, color: 'teal'},
{key: 26, text: '百川大模型', value: 26, color: 'orange'},
{key: 27, text: 'MiniMax', value: 27, color: 'red'},
{key: 29, text: 'Groq', value: 29, color: 'orange'},
{key: 30, text: 'Ollama', value: 30, color: 'black'},
{key: 31, text: '零一万物', value: 31, color: 'green'},
{key: 32, text: '阶跃星辰', value: 32, color: 'blue'},
{key: 34, text: 'Coze', value: 34, color: 'blue'},
{key: 35, text: 'Cohere', value: 35, color: 'blue'},
{key: 36, text: 'DeepSeek', value: 36, color: 'black'},
{key: 37, text: 'Cloudflare', value: 37, color: 'orange'},
{key: 38, text: 'DeepL', value: 38, color: 'black'},
{key: 39, text: 'together.ai', value: 39, color: 'blue'},
{key: 42, text: 'VertexAI', value: 42, color: 'blue'},
{key: 43, text: 'Proxy', value: 43, color: 'blue'},
{key: 44, text: 'SiliconFlow', value: 44, color: 'blue'},
{key: 45, text: 'xAI', value: 45, color: 'blue'},
{key: 46, text: 'Replicate', value: 46, color: 'blue'},
{key: 8, text: '自定义渠道', value: 8, color: 'pink'},
{key: 22, text: '知识库FastGPT', value: 22, color: 'blue'},
{key: 21, text: '知识库AI Proxy', value: 21, color: 'purple'},
{key: 20, text: 'OpenRouter', value: 20, color: 'black'},
{key: 2, text: '代理API2D', value: 2, color: 'blue'},
{key: 5, text: '代理OpenAI-SB', value: 5, color: 'brown'},
{key: 7, text: '代理OhMyGPT', value: 7, color: 'purple'},
{key: 10, text: '代理AI Proxy', value: 10, color: 'purple'},
{key: 4, text: '代理CloseAI', value: 4, color: 'teal'},
{key: 6, text: '代理OpenAI Max', value: 6, color: 'violet'},
{key: 9, text: '代理AI.LS', value: 9, color: 'yellow'},
{key: 12, text: '代理API2GPT', value: 12, color: 'blue'},
{key: 13, text: '代理:AIGC2D', value: 13, color: 'purple'},
{ key: 16, text: '智谱 ChatGLM', value: 16, color: 'violet' },
{ key: 19, text: '360 智脑', value: 19, color: 'blue' },
{ key: 25, text: 'Moonshot AI', value: 25, color: 'black' },
{ key: 23, text: '腾讯混元', value: 23, color: 'teal' },
{ key: 26, text: '百川大模型', value: 26, color: 'orange' },
{ key: 27, text: 'MiniMax', value: 27, color: 'red' },
{ key: 29, text: 'Groq', value: 29, color: 'orange' },
{ key: 30, text: 'Ollama', value: 30, color: 'black' },
{ key: 31, text: '零一万物', value: 31, color: 'green' },
{ key: 32, text: '阶跃星辰', value: 32, color: 'blue' },
{ key: 34, text: 'Coze', value: 34, color: 'blue' },
{ key: 35, text: 'Cohere', value: 35, color: 'blue' },
{ key: 36, text: 'DeepSeek', value: 36, color: 'black' },
{ key: 37, text: 'Cloudflare', value: 37, color: 'orange' },
{ key: 38, text: 'DeepL', value: 38, color: 'black' },
{ key: 39, text: 'together.ai', value: 39, color: 'blue' },
{ key: 42, text: 'VertexAI', value: 42, color: 'blue' },
{ key: 43, text: 'Proxy', value: 43, color: 'blue' },
{ key: 44, text: 'SiliconFlow', value: 44, color: 'blue' },
{ key: 45, text: 'xAI', value: 45, color: 'blue' },
{ key: 46, text: 'Replicate', value: 46, color: 'blue' },
{
key: 8,
text: '自定义渠道',
value: 8,
color: 'pink',
tip: '不推荐使用,请使用 <strong>OpenAI 兼容</strong>渠道类型。注意,这里所需要填入的代理地址仅会在实际请求时替换域名部分,如果你想填入 OpenAI SDK 中所要求的 Base URL请使用 OpenAI 兼容渠道类型',
description: '不推荐使用,请使用 OpenAI 兼容渠道类型',
},
{ key: 22, text: '知识库FastGPT', value: 22, color: 'blue' },
{ key: 21, text: '知识库AI Proxy', value: 21, color: 'purple' },
{ key: 20, text: 'OpenRouter', value: 20, color: 'black' },
{ key: 2, text: '代理API2D', value: 2, color: 'blue' },
{ key: 5, text: '代理:OpenAI-SB', value: 5, color: 'brown' },
{ key: 7, text: '代理OhMyGPT', value: 7, color: 'purple' },
{ key: 10, text: '代理AI Proxy', value: 10, color: 'purple' },
{ key: 4, text: '代理CloseAI', value: 4, color: 'teal' },
{ key: 6, text: '代理OpenAI Max', value: 6, color: 'violet' },
{ key: 9, text: '代理AI.LS', value: 9, color: 'yellow' },
{ key: 12, text: '代理API2GPT', value: 12, color: 'blue' },
{ key: 13, text: '代理AIGC2D', value: 13, color: 'purple' },
];

View File

@@ -104,8 +104,10 @@
"model_mapping_placeholder": "Optional, used to modify model names in request body. A JSON string where keys are request model names and values are target model names",
"system_prompt": "System Prompt",
"system_prompt_placeholder": "Optional, used to force set system prompt. Use with custom model & model mapping. First create a unique custom model name above, then map it to a natively supported model",
"base_url": "Proxy",
"base_url_placeholder": "Optional, used for API calls through proxy. Enter proxy address in format: https://domain.com",
"proxy_url": "Proxy",
"proxy_url_placeholder": "This is optional and used for API calls via a proxy. Please enter the proxy URL, formatted as: https://domain.com",
"base_url": "Base URL",
"base_url_placeholder": "The Base URL required by the OpenAPI SDK",
"key": "Key",
"key_placeholder": "Please enter key",
"batch": "Batch Create",

View File

@@ -104,8 +104,10 @@
"model_mapping_placeholder": "此项可选,用于修改请求体中的模型名称,为一个 JSON 字符串,键为请求中模型名称,值为要替换的模型名称",
"system_prompt": "系统提示词",
"system_prompt_placeholder": "此项可选,用于强制设置给定的系统提示词,请配合自定义模型 & 模型重定向使用,首先创建一个唯一的自定义模型名称并在上面填入,之后将该自定义模型重定向映射到该渠道一个原生支持的模型",
"base_url": "代理",
"base_url_placeholder": "此项可选,用于通过代理站来进行 API 调用请输入代理站地址格式为https://domain.com",
"proxy_url": "代理",
"proxy_url_placeholder": "此项可选,用于通过代理站来进行 API 调用请输入代理站地址格式为https://domain.com。注意,这里所需要填入的代理地址仅会在实际请求时替换域名部分,如果你想填入 OpenAI SDK 中所要求的 Base URL请使用 OpenAI 兼容渠道类型",
"base_url": "Base URL",
"base_url_placeholder": "OpenAPI SDK 中所要求的 Base URL",
"key": "密钥",
"key_placeholder": "请输入密钥",
"batch": "批量创建",

View File

@@ -1,6 +1,6 @@
import React, {useEffect, useState} from 'react';
import {useTranslation} from 'react-i18next';
import {Button, Card, Form, Input, Message,} from 'semantic-ui-react';
import {Button, Card, Form, Input, Message} from 'semantic-ui-react';
import {useNavigate, useParams} from 'react-router-dom';
import {API, copy, getChannelModels, showError, showInfo, showSuccess, verifyJSON,} from '../../helpers';
import {CHANNEL_OPTIONS} from '../../constants';
@@ -339,6 +339,20 @@ const EditChannel = () => {
{inputs.type === 8 && (
<Form.Field>
<Form.Input
required
label={t('channel.edit.proxy_url')}
name='base_url'
placeholder={t('channel.edit.proxy_url_placeholder')}
onChange={handleInputChange}
value={inputs.base_url}
autoComplete='new-password'
/>
</Form.Field>
)}
{inputs.type === 50 && (
<Form.Field>
<Form.Input
required
label={t('channel.edit.base_url')}
name='base_url'
placeholder={t('channel.edit.base_url_placeholder')}
@@ -637,12 +651,13 @@ const EditChannel = () => {
{inputs.type !== 3 &&
inputs.type !== 33 &&
inputs.type !== 8 &&
inputs.type !== 50 &&
inputs.type !== 22 && (
<Form.Field>
<Form.Input
label={t('channel.edit.base_url')}
label={t('channel.edit.proxy_url')}
name='base_url'
placeholder={t('channel.edit.base_url_placeholder')}
placeholder={t('channel.edit.proxy_url_placeholder')}
onChange={handleInputChange}
value={inputs.base_url}
autoComplete='new-password'