feat: support Mistral's models now (close #1051)
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@ -67,6 +67,7 @@ _✨ 通过标准的 OpenAI API 格式访问所有的大模型,开箱即用
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+ [x] [OpenAI ChatGPT 系列模型](https://platform.openai.com/docs/guides/gpt/chat-completions-api)(支持 [Azure OpenAI API](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference))
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+ [x] [Anthropic Claude 系列模型](https://anthropic.com)
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+ [x] [Google PaLM2/Gemini 系列模型](https://developers.generativeai.google)
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+ [x] [Mistral 系列模型](https://mistral.ai/)
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+ [x] [百度文心一言系列模型](https://cloud.baidu.com/doc/WENXINWORKSHOP/index.html)
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+ [x] [阿里通义千问系列模型](https://help.aliyun.com/document_detail/2400395.html)
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+ [x] [讯飞星火认知大模型](https://www.xfyun.cn/doc/spark/Web.html)
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@ -66,6 +66,7 @@ const (
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ChannelTypeMoonshot = 25
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ChannelTypeBaichuan = 26
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ChannelTypeMinimax = 27
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ChannelTypeMistral = 28
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)
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var ChannelBaseURLs = []string{
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@ -97,6 +98,7 @@ var ChannelBaseURLs = []string{
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"https://api.moonshot.cn", // 25
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"https://api.baichuan-ai.com", // 26
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"https://api.minimax.chat", // 27
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"https://api.mistral.ai", // 28
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}
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const (
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@ -17,7 +17,6 @@ const (
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// https://platform.openai.com/docs/models/model-endpoint-compatibility
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// https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Blfmc9dlf
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// https://openai.com/pricing
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// TODO: when a new api is enabled, check the pricing here
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// 1 === $0.002 / 1K tokens
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// 1 === ¥0.014 / 1k tokens
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var ModelRatio = map[string]float64{
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@ -116,15 +115,29 @@ var ModelRatio = map[string]float64{
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"abab6-chat": 0.1 * RMB,
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"abab5.5-chat": 0.015 * RMB,
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"abab5.5s-chat": 0.005 * RMB,
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// https://docs.mistral.ai/platform/pricing/
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"open-mistral-7b": 0.25 / 1000 * USD,
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"open-mixtral-8x7b": 0.7 / 1000 * USD,
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"mistral-small-latest": 2.0 / 1000 * USD,
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"mistral-medium-latest": 2.7 / 1000 * USD,
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"mistral-large-latest": 8.0 / 1000 * USD,
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"mistral-embed": 0.1 / 1000 * USD,
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}
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var CompletionRatio = map[string]float64{}
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var DefaultModelRatio map[string]float64
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var DefaultCompletionRatio map[string]float64
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func init() {
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DefaultModelRatio = make(map[string]float64)
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for k, v := range ModelRatio {
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DefaultModelRatio[k] = v
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}
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DefaultCompletionRatio = make(map[string]float64)
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for k, v := range CompletionRatio {
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DefaultCompletionRatio[k] = v
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}
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}
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func ModelRatio2JSONString() string {
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@ -155,8 +168,6 @@ func GetModelRatio(name string) float64 {
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return ratio
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}
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var CompletionRatio = map[string]float64{}
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func CompletionRatio2JSONString() string {
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jsonBytes, err := json.Marshal(CompletionRatio)
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if err != nil {
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@ -174,6 +185,9 @@ func GetCompletionRatio(name string) float64 {
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if ratio, ok := CompletionRatio[name]; ok {
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return ratio
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}
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if ratio, ok := DefaultCompletionRatio[name]; ok {
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return ratio
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}
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if strings.HasPrefix(name, "gpt-3.5") {
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if strings.HasSuffix(name, "0125") {
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// https://openai.com/blog/new-embedding-models-and-api-updates
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@ -206,5 +220,8 @@ func GetCompletionRatio(name string) float64 {
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if strings.HasPrefix(name, "claude-2") {
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return 2.965517
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}
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if strings.HasPrefix(name, "mistral-") {
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return 3
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}
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return 1
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}
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@ -6,6 +6,7 @@ import (
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"github.com/songquanpeng/one-api/relay/channel/ai360"
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"github.com/songquanpeng/one-api/relay/channel/baichuan"
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"github.com/songquanpeng/one-api/relay/channel/minimax"
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"github.com/songquanpeng/one-api/relay/channel/mistral"
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"github.com/songquanpeng/one-api/relay/channel/moonshot"
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"github.com/songquanpeng/one-api/relay/constant"
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"github.com/songquanpeng/one-api/relay/helper"
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@ -122,6 +123,17 @@ func init() {
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Parent: nil,
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})
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}
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for _, modelName := range mistral.ModelList {
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openAIModels = append(openAIModels, OpenAIModels{
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Id: modelName,
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Object: "model",
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Created: 1626777600,
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OwnedBy: "mistralai",
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Permission: permission,
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Root: modelName,
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Parent: nil,
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})
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}
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openAIModelsMap = make(map[string]OpenAIModels)
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for _, model := range openAIModels {
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openAIModelsMap[model.Id] = model
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10
relay/channel/mistral/constants.go
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10
relay/channel/mistral/constants.go
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@ -0,0 +1,10 @@
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package mistral
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var ModelList = []string{
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"open-mistral-7b",
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"open-mixtral-8x7b",
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"mistral-small-latest",
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"mistral-medium-latest",
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"mistral-large-latest",
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"mistral-embed",
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}
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@ -9,6 +9,7 @@ import (
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"github.com/songquanpeng/one-api/relay/channel/ai360"
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"github.com/songquanpeng/one-api/relay/channel/baichuan"
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"github.com/songquanpeng/one-api/relay/channel/minimax"
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"github.com/songquanpeng/one-api/relay/channel/mistral"
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"github.com/songquanpeng/one-api/relay/channel/moonshot"
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"github.com/songquanpeng/one-api/relay/model"
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"github.com/songquanpeng/one-api/relay/util"
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@ -94,6 +95,8 @@ func (a *Adaptor) GetModelList() []string {
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return baichuan.ModelList
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case common.ChannelTypeMinimax:
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return minimax.ModelList
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case common.ChannelTypeMistral:
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return mistral.ModelList
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default:
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return ModelList
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}
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@ -111,6 +114,8 @@ func (a *Adaptor) GetChannelName() string {
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return "baichuan"
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case common.ChannelTypeMinimax:
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return "minimax"
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case common.ChannelTypeMistral:
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return "mistralai"
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default:
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return "openai"
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}
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@ -172,10 +172,8 @@ func postConsumeQuota(ctx context.Context, usage *relaymodel.Usage, meta *util.R
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if err != nil {
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logger.Error(ctx, "error update user quota cache: "+err.Error())
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}
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if quota != 0 {
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logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f,补全倍率 %.2f", modelRatio, groupRatio, completionRatio)
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model.RecordConsumeLog(ctx, meta.UserId, meta.ChannelId, promptTokens, completionTokens, textRequest.Model, meta.TokenName, quota, logContent)
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model.UpdateUserUsedQuotaAndRequestCount(meta.UserId, quota)
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model.UpdateChannelUsedQuota(meta.ChannelId, quota)
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}
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logContent := fmt.Sprintf("模型倍率 %.2f,分组倍率 %.2f,补全倍率 %.2f", modelRatio, groupRatio, completionRatio)
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model.RecordConsumeLog(ctx, meta.UserId, meta.ChannelId, promptTokens, completionTokens, textRequest.Model, meta.TokenName, quota, logContent)
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model.UpdateUserUsedQuotaAndRequestCount(meta.UserId, quota)
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model.UpdateChannelUsedQuota(meta.ChannelId, quota)
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}
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@ -29,6 +29,12 @@ export const CHANNEL_OPTIONS = {
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value: 24,
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color: 'orange'
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},
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28: {
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key: 28,
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text: 'Mistral AI',
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value: 28,
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color: 'orange'
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},
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15: {
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key: 15,
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text: '百度文心千帆',
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@ -4,6 +4,7 @@ export const CHANNEL_OPTIONS = [
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{ key: 3, text: 'Azure OpenAI', value: 3, color: 'olive' },
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{ key: 11, text: 'Google PaLM2', value: 11, color: 'orange' },
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{ key: 24, text: 'Google Gemini', value: 24, color: 'orange' },
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{ key: 28, text: 'Mistral AI', value: 28, color: 'orange' },
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{ key: 15, text: '百度文心千帆', value: 15, color: 'blue' },
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{ key: 17, text: '阿里通义千问', value: 17, color: 'orange' },
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{ key: 18, text: '讯飞星火认知', value: 18, color: 'blue' },
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