mirror of
https://github.com/songquanpeng/one-api.git
synced 2026-02-15 18:34:24 +08:00
Compare commits
6 Commits
v0.6.11-pr
...
12be617907
| Author | SHA1 | Date | |
|---|---|---|---|
|
12be617907 | ||
|
4907952fd1 | ||
|
|
209a14c26f | ||
|
8df4a2670b | ||
|
7ac553541b | ||
|
|
a5c517c27a |
@@ -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)
|
||||
|
||||
@@ -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",
|
||||
}
|
||||
|
||||
@@ -435,3 +435,17 @@ func EmbeddingHandler(c *gin.Context, resp *http.Response) (*model.ErrorWithStat
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
return nil, &fullTextResponse.Usage
|
||||
}
|
||||
|
||||
func EmbeddingResponseHandler(c *gin.Context, statusCode int, resp *openai.EmbeddingResponse) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
jsonResponse, err := json.Marshal(resp)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "marshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
c.Writer.Header().Set("Content-Type", "application/json")
|
||||
c.Writer.WriteHeader(statusCode)
|
||||
_, err = c.Writer.Write(jsonResponse)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "write_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
return nil, &resp.Usage
|
||||
}
|
||||
|
||||
@@ -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",
|
||||
}
|
||||
|
||||
@@ -61,12 +61,15 @@ func (a *Adaptor) GetChannelName() string {
|
||||
|
||||
func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
suffix := ""
|
||||
if strings.HasPrefix(meta.ActualModelName, "gemini") {
|
||||
modelType := PredictModelType(meta.ActualModelName)
|
||||
if modelType == VertexAIGemini {
|
||||
if meta.IsStream {
|
||||
suffix = "streamGenerateContent?alt=sse"
|
||||
} else {
|
||||
suffix = "generateContent"
|
||||
}
|
||||
} else if modelType == VertexAIEmbedding {
|
||||
suffix = "predict"
|
||||
} else {
|
||||
if meta.IsStream {
|
||||
suffix = "streamRawPredict?alt=sse"
|
||||
@@ -75,13 +78,19 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
}
|
||||
}
|
||||
|
||||
model := meta.ActualModelName
|
||||
if strings.Contains(model, "?") {
|
||||
// TODO: Maybe fix meta.ActualModelName?
|
||||
model = strings.Split(model, "?")[0]
|
||||
}
|
||||
|
||||
if meta.BaseURL != "" {
|
||||
return fmt.Sprintf(
|
||||
"%s/v1/projects/%s/locations/%s/publishers/google/models/%s:%s",
|
||||
meta.BaseURL,
|
||||
meta.Config.VertexAIProjectID,
|
||||
meta.Config.Region,
|
||||
meta.ActualModelName,
|
||||
model,
|
||||
suffix,
|
||||
), nil
|
||||
}
|
||||
@@ -90,7 +99,7 @@ func (a *Adaptor) GetRequestURL(meta *meta.Meta) (string, error) {
|
||||
meta.Config.Region,
|
||||
meta.Config.VertexAIProjectID,
|
||||
meta.Config.Region,
|
||||
meta.ActualModelName,
|
||||
model,
|
||||
suffix,
|
||||
), nil
|
||||
}
|
||||
@@ -115,3 +124,13 @@ func (a *Adaptor) ConvertImageRequest(request *model.ImageRequest) (any, error)
|
||||
func (a *Adaptor) DoRequest(c *gin.Context, meta *meta.Meta, requestBody io.Reader) (*http.Response, error) {
|
||||
return channelhelper.DoRequestHelper(a, c, meta, requestBody)
|
||||
}
|
||||
|
||||
func PredictModelType(model string) VertexAIModelType {
|
||||
if strings.HasPrefix(model, "gemini-") {
|
||||
return VertexAIGemini
|
||||
}
|
||||
if strings.HasPrefix(model, "text-embedding") || strings.HasPrefix(model, "text-multilingual-embedding") {
|
||||
return VertexAIEmbedding
|
||||
}
|
||||
return VertexAIClaude
|
||||
}
|
||||
|
||||
118
relay/adaptor/vertexai/embedding/adapter.go
Normal file
118
relay/adaptor/vertexai/embedding/adapter.go
Normal file
@@ -0,0 +1,118 @@
|
||||
package vertexai
|
||||
|
||||
import (
|
||||
"encoding/json"
|
||||
"io"
|
||||
"net/http"
|
||||
"net/url"
|
||||
"strings"
|
||||
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/gemini"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/openai"
|
||||
model2 "github.com/songquanpeng/one-api/relay/adaptor/vertexai/model"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/pkg/errors"
|
||||
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
)
|
||||
|
||||
var ModelList = []string{
|
||||
"textembedding-gecko-multilingual@001", "text-multilingual-embedding-002",
|
||||
}
|
||||
|
||||
type Adaptor struct {
|
||||
model string
|
||||
}
|
||||
|
||||
var _ model2.InnerAIAdapter = (*Adaptor)(nil)
|
||||
|
||||
func (a *Adaptor) parseEmbeddingTaskType(model string) (string, EmbeddingTaskType) {
|
||||
modelTaskType := EmbeddingTaskTypeNone
|
||||
if strings.Contains(model, "?") {
|
||||
parts := strings.Split(model, "?")
|
||||
modelName := parts[0]
|
||||
if len(parts) >= 2 {
|
||||
modelOptions, err := url.ParseQuery(parts[1])
|
||||
if err == nil {
|
||||
modelTaskType = EmbeddingTaskType(modelOptions.Get("task_type"))
|
||||
}
|
||||
}
|
||||
return modelName, modelTaskType
|
||||
}
|
||||
return model, modelTaskType
|
||||
}
|
||||
|
||||
func (a *Adaptor) ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error) {
|
||||
if request == nil {
|
||||
return nil, errors.New("request is nil")
|
||||
}
|
||||
inputs := request.ParseInput()
|
||||
if len(inputs) == 0 {
|
||||
return nil, errors.New("request is nil")
|
||||
}
|
||||
modelName, modelTaskType := a.parseEmbeddingTaskType(request.Model)
|
||||
a.model = modelName
|
||||
instances := make([]EmbeddingInstance, len(inputs))
|
||||
for i, input := range inputs {
|
||||
instances[i] = EmbeddingInstance{
|
||||
Content: input,
|
||||
TaskType: modelTaskType,
|
||||
}
|
||||
}
|
||||
|
||||
embeddingRequest := EmbeddingRequest{
|
||||
Instances: instances,
|
||||
Parameters: EmbeddingParams{
|
||||
OutputDimensionality: request.Dimensions,
|
||||
},
|
||||
}
|
||||
|
||||
return embeddingRequest, nil
|
||||
}
|
||||
|
||||
func (a *Adaptor) DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode) {
|
||||
err, usage = EmbeddingHandler(c, a.model, resp)
|
||||
return
|
||||
}
|
||||
|
||||
func EmbeddingHandler(c *gin.Context, modelName string, resp *http.Response) (*model.ErrorWithStatusCode, *model.Usage) {
|
||||
var vertexEmbeddingResponse EmbeddingResponse
|
||||
responseBody, err := io.ReadAll(resp.Body)
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "read_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = resp.Body.Close()
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "close_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
err = json.Unmarshal(responseBody, &vertexEmbeddingResponse)
|
||||
if err != nil {
|
||||
return openai.ErrorWrapper(err, "unmarshal_response_body_failed", http.StatusInternalServerError), nil
|
||||
}
|
||||
|
||||
openaiResp := &openai.EmbeddingResponse{
|
||||
Model: modelName,
|
||||
Data: make([]openai.EmbeddingResponseItem, 0, len(vertexEmbeddingResponse.Predictions)),
|
||||
Usage: model.Usage{
|
||||
TotalTokens: 0,
|
||||
},
|
||||
}
|
||||
|
||||
for i, pred := range vertexEmbeddingResponse.Predictions {
|
||||
openaiResp.Data = append(openaiResp.Data, openai.EmbeddingResponseItem{
|
||||
Index: i,
|
||||
Embedding: pred.Embeddings.Values,
|
||||
})
|
||||
}
|
||||
|
||||
for _, pred := range vertexEmbeddingResponse.Predictions {
|
||||
openaiResp.Usage.TotalTokens += pred.Embeddings.Statistics.TokenCount
|
||||
}
|
||||
|
||||
return gemini.EmbeddingResponseHandler(c, resp.StatusCode, openaiResp)
|
||||
}
|
||||
46
relay/adaptor/vertexai/embedding/model.go
Normal file
46
relay/adaptor/vertexai/embedding/model.go
Normal file
@@ -0,0 +1,46 @@
|
||||
package vertexai
|
||||
|
||||
type EmbeddingTaskType string
|
||||
|
||||
const (
|
||||
EmbeddingTaskTypeNone EmbeddingTaskType = ""
|
||||
EmbeddingTaskTypeRetrievalQuery EmbeddingTaskType = "RETRIEVAL_QUERY"
|
||||
EmbeddingTaskTypeRetrievalDocument EmbeddingTaskType = "RETRIEVAL_DOCUMENT"
|
||||
EmbeddingTaskTypeSemanticSimilarity EmbeddingTaskType = "SEMANTIC_SIMILARITY"
|
||||
EmbeddingTaskTypeClassification EmbeddingTaskType = "CLASSIFICATION"
|
||||
EmbeddingTaskTypeClustering EmbeddingTaskType = "CLUSTERING"
|
||||
EmbeddingTaskTypeQuestionAnswering EmbeddingTaskType = "QUESTION_ANSWERING"
|
||||
EmbeddingTaskTypeFactVerification EmbeddingTaskType = "FACT_VERIFICATION"
|
||||
EmbeddingTaskTypeCodeRetrievalQuery EmbeddingTaskType = "CODE_RETRIEVAL_QUERY"
|
||||
)
|
||||
|
||||
type EmbeddingRequest struct {
|
||||
Instances []EmbeddingInstance `json:"instances"`
|
||||
Parameters EmbeddingParams `json:"parameters"`
|
||||
}
|
||||
|
||||
type EmbeddingInstance struct {
|
||||
Content string `json:"content"`
|
||||
TaskType EmbeddingTaskType `json:"task_type,omitempty"`
|
||||
Title string `json:"title,omitempty"`
|
||||
}
|
||||
|
||||
type EmbeddingParams struct {
|
||||
AutoTruncate bool `json:"autoTruncate,omitempty"`
|
||||
OutputDimensionality int `json:"outputDimensionality,omitempty"`
|
||||
// Texts []string `json:"texts,omitempty"`
|
||||
}
|
||||
|
||||
type EmbeddingResponse struct {
|
||||
Predictions []struct {
|
||||
Embeddings EmbeddingData `json:"embeddings"`
|
||||
} `json:"predictions"`
|
||||
}
|
||||
|
||||
type EmbeddingData struct {
|
||||
Statistics struct {
|
||||
Truncated bool `json:"truncated"`
|
||||
TokenCount int `json:"token_count"`
|
||||
} `json:"statistics"`
|
||||
Values []float64 `json:"values"`
|
||||
}
|
||||
13
relay/adaptor/vertexai/model/model.go
Normal file
13
relay/adaptor/vertexai/model/model.go
Normal file
@@ -0,0 +1,13 @@
|
||||
package model
|
||||
|
||||
import (
|
||||
"github.com/gin-gonic/gin"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"net/http"
|
||||
)
|
||||
|
||||
type InnerAIAdapter interface {
|
||||
ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error)
|
||||
DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode)
|
||||
}
|
||||
@@ -1,20 +1,18 @@
|
||||
package vertexai
|
||||
|
||||
import (
|
||||
"net/http"
|
||||
|
||||
"github.com/gin-gonic/gin"
|
||||
claude "github.com/songquanpeng/one-api/relay/adaptor/vertexai/claude"
|
||||
embedding "github.com/songquanpeng/one-api/relay/adaptor/vertexai/embedding"
|
||||
gemini "github.com/songquanpeng/one-api/relay/adaptor/vertexai/gemini"
|
||||
"github.com/songquanpeng/one-api/relay/meta"
|
||||
"github.com/songquanpeng/one-api/relay/model"
|
||||
"github.com/songquanpeng/one-api/relay/adaptor/vertexai/model"
|
||||
)
|
||||
|
||||
type VertexAIModelType int
|
||||
|
||||
const (
|
||||
VerterAIClaude VertexAIModelType = iota + 1
|
||||
VerterAIGemini
|
||||
VertexAIClaude VertexAIModelType = iota + 1
|
||||
VertexAIGemini
|
||||
VertexAIEmbedding
|
||||
)
|
||||
|
||||
var modelMapping = map[string]VertexAIModelType{}
|
||||
@@ -23,28 +21,37 @@ 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, embedding.ModelList...)
|
||||
for _, model := range embedding.ModelList {
|
||||
modelMapping[model] = VertexAIEmbedding
|
||||
}
|
||||
}
|
||||
|
||||
type innerAIAdapter interface {
|
||||
ConvertRequest(c *gin.Context, relayMode int, request *model.GeneralOpenAIRequest) (any, error)
|
||||
DoResponse(c *gin.Context, resp *http.Response, meta *meta.Meta) (usage *model.Usage, err *model.ErrorWithStatusCode)
|
||||
}
|
||||
|
||||
func GetAdaptor(model string) innerAIAdapter {
|
||||
func GetAdaptor(model string) model.InnerAIAdapter {
|
||||
adaptorType := modelMapping[model]
|
||||
switch adaptorType {
|
||||
case VerterAIClaude:
|
||||
case VertexAIClaude:
|
||||
return &claude.Adaptor{}
|
||||
case VerterAIGemini:
|
||||
case VertexAIGemini:
|
||||
return &gemini.Adaptor{}
|
||||
case VertexAIEmbedding:
|
||||
return &embedding.Adaptor{}
|
||||
default:
|
||||
adaptorType = PredictModelType(model)
|
||||
switch adaptorType {
|
||||
case VertexAIGemini:
|
||||
return &gemini.Adaptor{}
|
||||
case VertexAIEmbedding:
|
||||
return &embedding.Adaptor{}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
}
|
||||
|
||||
@@ -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,
|
||||
@@ -371,6 +387,238 @@ 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{
|
||||
|
||||
Reference in New Issue
Block a user