diff --git a/.gitignore b/.gitignore index c23d454b..cb2bf660 100644 --- a/.gitignore +++ b/.gitignore @@ -4,3 +4,4 @@ /build/ /apipark .gitlab-ci.yml +/.vscode/ diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 88137b31..d8314486 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -10,6 +10,7 @@ variables: VIEW_ADDR: http://172.18.166.219:8288 SAVE_DIR: /opt/${APP} NODE_OPTIONS: --max_old_space_size=8192 + APIPARK_OLLAMA_BASE: http://127.0.0.1:11434 stages: - notice diff --git a/ai-provider/local/entity.go b/ai-provider/local/entity.go new file mode 100644 index 00000000..62afb622 --- /dev/null +++ b/ai-provider/local/entity.go @@ -0,0 +1,22 @@ +package ai_provider_local + +import "time" + +type Model struct { + Name string `json:"name"` + Model string `json:"model"` + ModifiedAt time.Time `json:"modified_at"` + Size int64 `json:"size"` + Digest string `json:"digest"` + Details ModelDetails `json:"details,omitempty"` +} + +// ModelDetails provides details about a model. +type ModelDetails struct { + ParentModel string `json:"parent_model"` + Format string `json:"format"` + Family string `json:"family"` + Families []string `json:"families"` + ParameterSize string `json:"parameter_size"` + QuantizationLevel string `json:"quantization_level"` +} diff --git a/ai-provider/local/executor.go b/ai-provider/local/executor.go new file mode 100644 index 00000000..56959ceb --- /dev/null +++ b/ai-provider/local/executor.go @@ -0,0 +1,336 @@ +package ai_provider_local + +import ( + "context" + "fmt" + "sync" + + "github.com/ollama/ollama/progress" + + "github.com/eolinker/eosc" + "github.com/ollama/ollama/api" +) + +var ( + taskExecutor = NewAsyncExecutor(100) +) + +// Pipeline 结构体，表示每个用户的管道 +type Pipeline struct { + id string + channel chan PullMessage + ctx context.Context + cancel context.CancelFunc +} + +func (p *Pipeline) Message() <-chan PullMessage { + return p.channel +} + +// AsyncExecutor 结构体，管理不同模型的管道和任务队列 +type AsyncExecutor struct { + ctx context.Context + cancel context.CancelFunc + mu sync.Mutex + pipelines map[string]*modelPipeline // 以模型为 key，存管道列表 + msgQueue chan messageTask // 消息队列 +} + +type modelPipeline struct { + ctx context.Context + cancel context.CancelFunc + pipelines eosc.Untyped[string, *Pipeline] + pullFn PullCallback + maxSize int +} + +func (m *modelPipeline) List() []*Pipeline { + return m.pipelines.List() +} + +func (m *modelPipeline) Get(id string) (*Pipeline, bool) { + return m.pipelines.Get(id) +} + +func (m *modelPipeline) Set(id string, p *Pipeline) error { + _, ok := m.pipelines.Get(id) + if !ok { + if m.pipelines.Count() > m.maxSize { + return fmt.Errorf("pipeline size exceed %d", m.maxSize) + } + } + m.pipelines.Set(id, p) + return nil +} + +func (m *modelPipeline) AddPipeline(id string) (*Pipeline, error) { + ctx, cancel := context.WithCancel(m.ctx) + pipeline := &Pipeline{ + ctx: ctx, + cancel: cancel, + id: id, + channel: make(chan PullMessage, 10), // 带缓冲，防止阻塞 + } + err := m.Set(id, pipeline) + if err != nil { + return nil, err + } + return pipeline, nil +} + +func (m *modelPipeline) Close() { + m.cancel() + ids := m.pipelines.Keys() + for _, id := range ids { + m.ClosePipeline(id) + } + return +} + +func (m *modelPipeline) ClosePipeline(id string) { + // 关闭管道 + p, has := m.pipelines.Del(id) + if !has { + return + } + p.cancel() + close(p.channel) +} + +func newModelPipeline(ctx context.Context, maxSize int) *modelPipeline { + ctx, cancel := context.WithCancel(ctx) + return &modelPipeline{ + pipelines: eosc.BuildUntyped[string, *Pipeline](), + ctx: ctx, + cancel: cancel, + maxSize: maxSize, + } +} + +// messageTask 结构体，包含模型名和消息内容 +type messageTask struct { + message PullMessage +} + +type PullMessage struct { + Model string + Status string + Digest string + Total int64 + Completed int64 + Msg string +} + +// NewAsyncExecutor 创建一个新的异步任务执行器 +func NewAsyncExecutor(queueSize int) *AsyncExecutor { + ctx, cancel := context.WithCancel(context.Background()) + executor := &AsyncExecutor{ + ctx: ctx, + cancel: cancel, + pipelines: make(map[string]*modelPipeline), // 以模型为 key，存管道列表 + msgQueue: make(chan messageTask, queueSize), + } + executor.StartMessageDistributor() + + return executor +} + +func (e *AsyncExecutor) GetModelPipeline(model string) (*modelPipeline, bool) { + e.mu.Lock() + defer e.mu.Unlock() + + mp, ok := e.pipelines[model] + return mp, ok +} + +func (e *AsyncExecutor) SetModelPipeline(model string, mp *modelPipeline) { + e.mu.Lock() + defer e.mu.Unlock() + e.pipelines[model] = mp +} + +// ClosePipeline 关闭管道并移除 +func (e *AsyncExecutor) ClosePipeline(model string, id string) { + e.mu.Lock() + defer e.mu.Unlock() + mp, ok := e.pipelines[model] + if !ok { + return + } + mp.ClosePipeline(id) +} + +// CloseModelPipeline 关闭当前模型所有管道 +func (e *AsyncExecutor) CloseModelPipeline(model string) { + e.mu.Lock() + defer e.mu.Unlock() + mp, ok := e.pipelines[model] + if !ok { + return + } + mp.Close() + delete(e.pipelines, model) +} + +// StartMessageDistributor 启动消息分发器 +func (e *AsyncExecutor) StartMessageDistributor() { + go func() { + for task := range e.msgQueue { + msg := task.message + e.DistributeToModelPipelines(msg.Model, msg) + if msg.Status == "error" || msg.Status == "success" { + mp, has := e.GetModelPipeline(msg.Model) + if has && mp.pullFn != nil { + mp.pullFn(msg) + } + e.CloseModelPipeline(msg.Model) + continue + } + } + }() +} + +// DistributeToModelPipelines 仅将消息分发给指定模型的管道 +func (e *AsyncExecutor) DistributeToModelPipelines(model string, msg PullMessage) { + e.mu.Lock() + defer e.mu.Unlock() + pipelines, ok := e.pipelines[model] + if !ok { + return + } + for _, pipeline := range pipelines.List() { + select { + case pipeline.channel <- msg: + default: + // 如果管道已满，跳过 + } + } +} + +type PullCallback func(msg PullMessage) error + +func PullModel(model string, id string, fn PullCallback) (*Pipeline, error) { + if client == nil { + return nil, fmt.Errorf("client not initialized") + } + mp, has := taskExecutor.GetModelPipeline(model) + if !has { + mp = newModelPipeline(taskExecutor.ctx, 100) + mp.pullFn = fn + taskExecutor.SetModelPipeline(model, mp) + } + p, err := mp.AddPipeline(id) + if err != nil { + return nil, err + } + if !has { + var status string + bars := make(map[string]*progress.Bar) + fn := func(resp api.ProgressResponse) error { + if resp.Digest != "" { + bar, ok := bars[resp.Digest] + if !ok { + bar = progress.NewBar(fmt.Sprintf("pulling %s...", resp.Digest[7:19]), resp.Total, resp.Completed) + bars[resp.Digest] = bar + } + bar.Set(resp.Completed) + + taskExecutor.msgQueue <- messageTask{ + message: PullMessage{ + Model: model, + Digest: resp.Digest, + Total: resp.Total, + Completed: resp.Completed, + Msg: bar.String(), + Status: resp.Status, + }, + } + } else if status != resp.Status { + taskExecutor.msgQueue <- messageTask{ + message: PullMessage{ + Model: model, + Digest: resp.Digest, + Total: resp.Total, + Completed: resp.Completed, + Msg: status, + Status: resp.Status, + }, + } + } + + return nil + } + go func() { + err = client.Pull(mp.ctx, &api.PullRequest{Model: model}, fn) + if err != nil { + taskExecutor.msgQueue <- messageTask{ + message: PullMessage{ + Model: model, + Status: "error", + Digest: "", + Total: 0, + Completed: 0, + Msg: err.Error(), + }, + } + } + }() + + } + + return p, nil +} + +func StopPull(model string) { + if client == nil { + return + } + taskExecutor.CloseModelPipeline(model) +} + +func CancelPipeline(model string, id string) { + taskExecutor.ClosePipeline(model, id) +} + +func RemoveModel(model string) error { + if client == nil { + return fmt.Errorf("client not initialized") + } + taskExecutor.CloseModelPipeline(model) + err := client.Delete(context.Background(), &api.DeleteRequest{Model: model}) + if err != nil { + if err.Error() == fmt.Sprintf("model '%s' not found", model) { + return nil + } + } + return err +} + +func ModelsInstalled() ([]Model, error) { + if client == nil { + return nil, fmt.Errorf("client not initialized") + } + result, err := client.List(context.Background()) + if err != nil { + return nil, err + } + models := make([]Model, 0, len(result.Models)) + for _, m := range result.Models { + models = append(models, Model{ + Name: m.Name, + Model: m.Model, + ModifiedAt: m.ModifiedAt, + Size: m.Size, + Digest: m.Digest, + Details: ModelDetails{ + ParentModel: m.Details.ParentModel, + Format: m.Details.Format, + Family: m.Details.Family, + Families: m.Details.Families, + ParameterSize: m.Details.ParameterSize, + QuantizationLevel: m.Details.QuantizationLevel, + }, + }) + } + return models, nil +} diff --git a/ai-provider/local/executor_test.go b/ai-provider/local/executor_test.go new file mode 100644 index 00000000..dc11060f --- /dev/null +++ b/ai-provider/local/executor_test.go @@ -0,0 +1,80 @@ +package ai_provider_local + +import ( + "fmt" + "io" + "net/http" + "testing" + + "github.com/gin-contrib/gzip" + + "github.com/eolinker/eosc/log" + + "github.com/google/uuid" + + "github.com/gin-gonic/gin" +) + +func TestPullModel(t *testing.T) { + // 创建 Gin 引擎 + r := gin.Default() + r.Use(gzip.Gzip(gzip.DefaultCompression)) + // 设置路由，监听 "/stream" 路径 + r.GET("/stream", streamHandler) + r.GET("/stop", stopPull) + r.GET("/models", models) + + // 启动 HTTP 服务器 + r.Run(":11180") +} + +func streamHandler(c *gin.Context) { + // 创建一个通道，用于监测客户端关闭连接的信号 + model := c.Query("model") + p, err := PullModel(model, uuid.NewString(), nil) + if err != nil { + c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()}) + return + } + done := make(chan struct{}) + // 启动一个 goroutine 监听客户端关闭连接 + go func() { + select { + case <-c.Writer.CloseNotify(): + log.Info("client closed connection,close pipeline") + taskExecutor.ClosePipeline(model, p.id) + case <-done: + } + }() + + c.Stream(func(w io.Writer) bool { + select { + case msg, ok := <-p.channel: + if !ok { + return false + } + _, err := w.Write([]byte(fmt.Sprintf("%s\n", msg.Msg))) + if err != nil { + log.Error("write message error: %v", err) + return false + } + return true + } + }) + done <- struct{}{} +} + +func stopPull(c *gin.Context) { + model := c.Query("model") + StopPull(model) + c.JSON(http.StatusOK, gin.H{"message": "stop pull model"}) +} + +func models(c *gin.Context) { + ms, err := ModelsInstalled() + if err != nil { + c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()}) + return + } + c.JSON(http.StatusOK, gin.H{"models": ms}) +} diff --git a/ai-provider/local/local.go b/ai-provider/local/local.go new file mode 100644 index 00000000..5e084eeb --- /dev/null +++ b/ai-provider/local/local.go @@ -0,0 +1,21 @@ +package ai_provider_local + +import ( + "net/http" + "net/url" + + "github.com/ollama/ollama/api" +) + +var ( + client *api.Client +) + +func ResetOllamaAddress(address string) error { + u, err := url.Parse(address) + if err != nil { + return err + } + client = api.NewClient(u, http.DefaultClient) + return nil +} diff --git a/ai-provider/local/model.go b/ai-provider/local/model.go new file mode 100644 index 00000000..9f0cad69 --- /dev/null +++ b/ai-provider/local/model.go @@ -0,0 +1,70 @@ +package ai_provider_local + +import ( + "embed" + "encoding/json" + "strings" + + "github.com/eolinker/eosc/log" +) + +var ( + //go:embed models.json + modelsFs embed.FS + modelCanInstall []ModelDetail + modelVersion string + modelTags = make(map[string][]ModelDetail) +) + +type ModelConfig struct { + Models []ModelDetail `json:"models"` + Version string `json:"version"` +} + +type ModelDetail struct { + Id string `json:"id"` + Name string `json:"name"` + Description string `json:"description"` + Size string `json:"size"` + Digest string `json:"digest"` + Provider string `json:"provider"` + IsPopular bool `json:"is_popular"` + Latest bool `json:"latest"` +} + +func init() { + data, err := modelsFs.ReadFile("models.json") + if err != nil { + log.Info("read models.json error: ", err) + return + } + var cfg ModelConfig + err = json.Unmarshal(data, &cfg) + if err != nil { + log.Info("unmarshal models.json error: ", err) + return + } + modelVersion = cfg.Version + modelCanInstall = make([]ModelDetail, 0, len(cfg.Models)) + for _, model := range cfg.Models { + if _, ok := modelTags[model.Id]; !ok { + modelTags[model.Id] = make([]ModelDetail, 0) + } + names := strings.Split(model.Id, ":") + + modelTags[names[0]] = append(modelTags[names[0]], model) + if !model.Latest { + continue + } + modelCanInstall = append(modelCanInstall, model) + } + +} + +func ModelsCanInstall() ([]ModelDetail, string) { + return modelCanInstall, modelVersion +} + +func ModelsCanInstallById(id string) []ModelDetail { + return modelTags[id] +} diff --git a/ai-provider/local/model_test.go b/ai-provider/local/model_test.go new file mode 100644 index 00000000..338bf42c --- /dev/null +++ b/ai-provider/local/model_test.go @@ -0,0 +1,7 @@ +package ai_provider_local + +import "testing" + +func TestModels(t *testing.T) { + t.Log(ModelsCanInstall()) +} diff --git a/ai-provider/local/models.json b/ai-provider/local/models.json new file mode 100644 index 00000000..74fea8d1 --- /dev/null +++ b/ai-provider/local/models.json @@ -0,0 +1,64585 @@ +{ + "models": [ + { + "id": "deepseek-r1", + "name": "deepseek-r1", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "4.7GB", + "digest": "0a8c26691023", + "provider": "", + "is_popular": true, + "latest": true + }, + { + "id": "deepseek-r1:1.5b", + "name": "deepseek-r1:1.5b", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "1.1GB", + "digest": "a42b25d8c10a", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:7b", + "name": "deepseek-r1:7b", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "4.7GB", + "digest": "0a8c26691023", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:8b", + "name": "deepseek-r1:8b", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "4.9GB", + "digest": "28f8fd6cdc67", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:14b", + "name": "deepseek-r1:14b", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "9.0GB", + "digest": "ea35dfe18182", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:32b", + "name": "deepseek-r1:32b", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "20GB", + "digest": "38056bbcbb2d", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:70b", + "name": "deepseek-r1:70b", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "43GB", + "digest": "0c1615a8ca32", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:671b", + "name": "deepseek-r1:671b", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "404GB", + "digest": "739e1b229ad7", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:1.5b-qwen-distill-fp16", + "name": "deepseek-r1:1.5b-qwen-distill-fp16", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "3.6GB", + "digest": "b3e50d21d5a9", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:1.5b-qwen-distill-q4_K_M", + "name": "deepseek-r1:1.5b-qwen-distill-q4_K_M", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "1.1GB", + "digest": "a42b25d8c10a", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:1.5b-qwen-distill-q8_0", + "name": "deepseek-r1:1.5b-qwen-distill-q8_0", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "1.9GB", + "digest": "be5781997fd9", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:14b-qwen-distill-fp16", + "name": "deepseek-r1:14b-qwen-distill-fp16", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "30GB", + "digest": "1f1bddb1a1a2", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:14b-qwen-distill-q4_K_M", + "name": "deepseek-r1:14b-qwen-distill-q4_K_M", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "9.0GB", + "digest": "ea35dfe18182", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:14b-qwen-distill-q8_0", + "name": "deepseek-r1:14b-qwen-distill-q8_0", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "16GB", + "digest": "022efe288297", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:32b-qwen-distill-fp16", + "name": "deepseek-r1:32b-qwen-distill-fp16", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "66GB", + "digest": "141ef25faf00", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:32b-qwen-distill-q4_K_M", + "name": "deepseek-r1:32b-qwen-distill-q4_K_M", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "20GB", + "digest": "38056bbcbb2d", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:32b-qwen-distill-q8_0", + "name": "deepseek-r1:32b-qwen-distill-q8_0", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "35GB", + "digest": "aed2818831dd", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:671b-fp16", + "name": "deepseek-r1:671b-fp16", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "1.3TB", + "digest": "3e2622881ef5", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:671b-q4_K_M", + "name": "deepseek-r1:671b-q4_K_M", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "404GB", + "digest": "739e1b229ad7", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:671b-q8_0", + "name": "deepseek-r1:671b-q8_0", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + "size": "713GB", + "digest": "ab9331000874", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "deepseek-r1:70b-llama-distill-fp16", + "name": "deepseek-r1:70b-llama-distill-fp16", + "description": "DeepSeek's first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.", + 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Available in 1B, 8B, and 20B parameter sizes.", + "size": "9.1GB", + "digest": "ba25188c847d", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker", + "name": "openthinker", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "4.7GB", + "digest": "aaffe05a5e2e", + "provider": "", + "is_popular": false, + "latest": true + }, + { + "id": "openthinker:7b", + "name": "openthinker:7b", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "4.7GB", + "digest": "aaffe05a5e2e", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker:32b", + "name": "openthinker:32b", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "20GB", + "digest": "b3f4e577e166", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker:32b-fp16", + "name": "openthinker:32b-fp16", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "66GB", + "digest": "fe656527fabb", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker:32b-q4_K_M", + "name": "openthinker:32b-q4_K_M", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "20GB", + "digest": "b3f4e577e166", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker:32b-q8_0", + "name": "openthinker:32b-q8_0", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "35GB", + "digest": "58ba37ade26f", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker:7b-fp16", + "name": "openthinker:7b-fp16", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "15GB", + "digest": "51b87c56a25a", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker:7b-q4_K_M", + "name": "openthinker:7b-q4_K_M", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "4.7GB", + "digest": "aaffe05a5e2e", + "provider": "", + "is_popular": false, + "latest": false + }, + { + "id": "openthinker:7b-q8_0", + "name": "openthinker:7b-q8_0", + "description": "A fully open-source family of reasoning models built using a dataset derived by distilling DeepSeek-R1.", + "size": "8.1GB", + "digest": "a0b1973d2ae4", + "provider": "", + "is_popular": false, + "latest": false + } + ], + "version": "20250213194727" +} \ No newline at end of file diff --git a/ai-provider/local/ollama.go b/ai-provider/local/ollama.go new file mode 100644 index 00000000..be765848 --- /dev/null +++ b/ai-provider/local/ollama.go @@ -0,0 +1,102 @@ +package ai_provider_local + +var ( + OllamaConfig = "{\n \"mirostat\": 0,\n \"mirostat_eta\": 0.1,\n \"mirostat_tau\": 5.0,\n \"num_ctx\": 4096,\n \"repeat_last_n\":64,\n \"repeat_penalty\": 1.1,\n \"temperature\": 0.7,\n \"seed\": 42,\n \"num_predict\": 42,\n \"top_k\": 40,\n \"top_p\": 0.9,\n \"min_p\": 0.5\n}\n" + OllamaSvg = ` + + + + + + + + + + + +` +) diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-haiku-20241022.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-haiku-20241022.yaml new file mode 100644 index 00000000..892146f6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-haiku-20241022.yaml @@ -0,0 +1,38 @@ +model: claude-3-5-haiku-20241022 +label: + en_US: claude-3-5-haiku-20241022 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '1.00' + output: '5.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-sonnet-20241022.yaml b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-sonnet-20241022.yaml new file mode 100644 index 00000000..81822b16 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-sonnet-20241022.yaml @@ -0,0 +1,40 @@ +model: claude-3-5-sonnet-20241022 +label: + en_US: claude-3-5-sonnet-20241022 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: '3.00' + output: '15.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml new file mode 100644 index 00000000..276c7312 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml @@ -0,0 +1,26 @@ +model: ai21.jamba-1-5-large-v1:0 +label: + en_US: Jamba 1.5 Large +model_type: llm +model_properties: + mode: completion + context_size: 256000 +parameter_rules: + - name: temperature + use_template: temperature + default: 1 + min: 0.0 + max: 2.0 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 +pricing: + input: '0.002' + output: '0.008' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml new file mode 100644 index 00000000..3461d8ab --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml @@ -0,0 +1,26 @@ +model: ai21.jamba-1-5-mini-v1:0 +label: + en_US: Jamba 1.5 Mini +model_type: llm +model_properties: + mode: completion + context_size: 256000 +parameter_rules: + - name: temperature + use_template: temperature + default: 1 + min: 0.0 + max: 2.0 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 4096 + min: 1 + max: 4096 +pricing: + input: '0.0002' + output: '0.0004' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-lite-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-lite-v1.yaml new file mode 100644 index 00000000..41a7f96d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-lite-v1.yaml @@ -0,0 +1,53 @@ +model: amazon.nova-lite-v1:0 +label: + en_US: Nova Lite V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.00006' + output: '0.00024' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-micro-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-micro-v1.yaml new file mode 100644 index 00000000..4ba8da66 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-micro-v1.yaml @@ -0,0 +1,52 @@ +model: amazon.nova-micro-v1:0 +label: + en_US: Nova Micro V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.000035' + output: '0.00014' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-pro-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-pro-v1.yaml new file mode 100644 index 00000000..53cf5606 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-pro-v1.yaml @@ -0,0 +1,53 @@ +model: amazon.nova-pro-v1:0 +label: + en_US: Nova Pro V1 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.0008' + output: '0.0032' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml new file mode 100644 index 00000000..9d693dcd --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml @@ -0,0 +1,60 @@ +model: anthropic.claude-3-5-haiku-20241022-v1:0 +label: + en_US: Claude 3.5 Haiku +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html +parameter_rules: + - name: max_tokens + use_template: max_tokens + required: true + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 + en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. + # docs: https://docs.anthropic.com/claude/docs/system-prompts + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format +pricing: + input: '0.001' + output: '0.005' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml new file mode 100644 index 00000000..d30dd5d6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml @@ -0,0 +1,60 @@ +model: anthropic.claude-3-5-sonnet-20241022-v2:0 +label: + en_US: Claude 3.5 Sonnet V2 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html +parameter_rules: + - name: max_tokens + use_template: max_tokens + required: true + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 + en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format +pricing: + input: '0.003' + output: '0.015' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v2.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v2.yaml new file mode 100644 index 00000000..8d831e6f --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v2.yaml @@ -0,0 +1,60 @@ +model: eu.anthropic.claude-3-5-sonnet-20241022-v2:0 +label: + en_US: Claude 3.5 Sonnet V2(EU.Cross Region Inference) +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html +parameter_rules: + - name: max_tokens + use_template: max_tokens + required: true + type: int + default: 4096 + min: 1 + max: 4096 + help: + zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 + en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format +pricing: + input: '0.003' + output: '0.015' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-lite-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-lite-v1.yaml new file mode 100644 index 00000000..52235348 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-lite-v1.yaml @@ -0,0 +1,53 @@ +model: us.amazon.nova-lite-v1:0 +label: + en_US: Nova Lite V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.00006' + output: '0.00024' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-micro-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-micro-v1.yaml new file mode 100644 index 00000000..4662d0a2 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-micro-v1.yaml @@ -0,0 +1,52 @@ +model: us.amazon.nova-micro-v1:0 +label: + en_US: Nova Micro V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.000035' + output: '0.00014' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-pro-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-pro-v1.yaml new file mode 100644 index 00000000..20e9d233 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-pro-v1.yaml @@ -0,0 +1,53 @@ +model: us.amazon.nova-pro-v1:0 +label: + en_US: Nova Pro V1 (US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 300000 +parameter_rules: + - name: max_new_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 5000 + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.0008' + output: '0.0032' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml new file mode 100644 index 00000000..e5e0244a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml @@ -0,0 +1,60 @@ +model: us.anthropic.claude-3-5-haiku-20241022-v1:0 +label: + en_US: Claude 3.5 Haiku(US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html +parameter_rules: + - name: max_tokens + use_template: max_tokens + required: true + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 + en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. + # docs: https://docs.anthropic.com/claude/docs/system-prompts + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format +pricing: + input: '0.001' + output: '0.005' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-sonnet-v2.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-sonnet-v2.yaml new file mode 100644 index 00000000..61f73276 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-sonnet-v2.yaml @@ -0,0 +1,60 @@ +model: us.anthropic.claude-3-5-sonnet-20241022-v2:0 +label: + en_US: Claude 3.5 Sonnet V2(US.Cross Region Inference) +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html +parameter_rules: + - name: max_tokens + use_template: max_tokens + required: true + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 + en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. + - name: response_format + use_template: response_format +pricing: + input: '0.003' + output: '0.015' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml new file mode 100644 index 00000000..029f4287 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml @@ -0,0 +1,29 @@ +model: us.meta.llama3-2-11b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 11B Instruct +model_type: llm +features: + - vision + - tool-call +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.00035' + output: '0.00035' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml new file mode 100644 index 00000000..51c8474e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml @@ -0,0 +1,26 @@ +model: us.meta.llama3-2-1b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 1B Instruct +model_type: llm +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.0001' + output: '0.0001' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml new file mode 100644 index 00000000..472cc740 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml @@ -0,0 +1,26 @@ +model: us.meta.llama3-2-3b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 3B Instruct +model_type: llm +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.00015' + output: '0.00015' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml new file mode 100644 index 00000000..cecd0236 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml @@ -0,0 +1,31 @@ +model: us.meta.llama3-2-90b-instruct-v1:0 +label: + en_US: US Meta Llama 3.2 90B Instruct +model_type: llm +features: + - tool-call +model_properties: + mode: completion + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + min: 0.0 + max: 1 + - name: top_p + use_template: top_p + default: 0.9 + min: 0 + max: 1 + - name: max_gen_len + use_template: max_tokens + required: true + default: 512 + min: 1 + max: 2048 +pricing: + input: '0.002' + output: '0.002' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/deepseek/llm/deepseek-reasoner.yaml b/ai-provider/model-runtime/model-providers/deepseek/llm/deepseek-reasoner.yaml new file mode 100644 index 00000000..a62bd7e7 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/deepseek/llm/deepseek-reasoner.yaml @@ -0,0 +1,21 @@ +model: deepseek-reasoner +label: + zh_Hans: deepseek-reasoner + en_US: deepseek-reasoner +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 64000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "4" + output: "16" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-11b-vision-instruct.yaml b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-11b-vision-instruct.yaml new file mode 100644 index 00000000..31415a24 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-11b-vision-instruct.yaml @@ -0,0 +1,46 @@ +model: accounts/fireworks/models/llama-v3p2-11b-vision-instruct +label: + zh_Hans: Llama 3.2 11B Vision Instruct + en_US: Llama 3.2 11B Vision Instruct +model_type: llm +features: + - agent-thought + - tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.2' + output: '0.2' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-1b-instruct.yaml b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-1b-instruct.yaml new file mode 100644 index 00000000..c2fd77d2 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-1b-instruct.yaml @@ -0,0 +1,46 @@ +model: accounts/fireworks/models/llama-v3p2-1b-instruct +label: + zh_Hans: Llama 3.2 1B Instruct + en_US: Llama 3.2 1B Instruct +model_type: llm +features: + - agent-thought + - tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.1' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-3b-instruct.yaml b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-3b-instruct.yaml new file mode 100644 index 00000000..4b3c459c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-3b-instruct.yaml @@ -0,0 +1,46 @@ +model: accounts/fireworks/models/llama-v3p2-3b-instruct +label: + zh_Hans: Llama 3.2 3B Instruct + en_US: Llama 3.2 3B Instruct +model_type: llm +features: + - agent-thought + - tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.1' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-90b-vision-instruct.yaml b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-90b-vision-instruct.yaml new file mode 100644 index 00000000..0aece745 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-90b-vision-instruct.yaml @@ -0,0 +1,46 @@ +model: accounts/fireworks/models/llama-v3p2-90b-vision-instruct +label: + zh_Hans: Llama 3.2 90B Vision Instruct + en_US: Llama 3.2 90B Vision Instruct +model_type: llm +features: + - agent-thought + - tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.9' + output: '0.9' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/fireworks/llm/qwen2p5-72b-instruct.yaml b/ai-provider/model-runtime/model-providers/fireworks/llm/qwen2p5-72b-instruct.yaml new file mode 100644 index 00000000..97283643 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/fireworks/llm/qwen2p5-72b-instruct.yaml @@ -0,0 +1,46 @@ +model: accounts/fireworks/models/qwen2p5-72b-instruct +label: + zh_Hans: Qwen2.5 72B Instruct + en_US: Qwen2.5 72B Instruct +model_type: llm +features: + - agent-thought + - tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.9' + output: '0.9' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-001.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-001.yaml new file mode 100644 index 00000000..86bba215 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-001.yaml @@ -0,0 +1,41 @@ +model: gemini-1.5-flash-001 +label: + en_US: Gemini 1.5 Flash 001 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-002.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-002.yaml new file mode 100644 index 00000000..9ad57a19 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-002.yaml @@ -0,0 +1,41 @@ +model: gemini-1.5-flash-002 +label: + en_US: Gemini 1.5 Flash 002 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml new file mode 100644 index 00000000..1193e606 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml @@ -0,0 +1,41 @@ +model: gemini-1.5-flash-8b-exp-0924 +label: + en_US: Gemini 1.5 Flash 8B 0924 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash.yaml new file mode 100644 index 00000000..ea0c42dd --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash.yaml @@ -0,0 +1,41 @@ +model: gemini-1.5-flash +label: + en_US: Gemini 1.5 Flash +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-001.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-001.yaml new file mode 100644 index 00000000..16df3085 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-001.yaml @@ -0,0 +1,41 @@ +model: gemini-1.5-pro-001 +label: + en_US: Gemini 1.5 Pro 001 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-002.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-002.yaml new file mode 100644 index 00000000..717d9481 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-002.yaml @@ -0,0 +1,41 @@ +model: gemini-1.5-pro-002 +label: + en_US: Gemini 1.5 Pro 002 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro.yaml new file mode 100644 index 00000000..ae127fb4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro.yaml @@ -0,0 +1,41 @@ +model: gemini-1.5-pro +label: + en_US: Gemini 1.5 Pro +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-001.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-001.yaml new file mode 100644 index 00000000..bef7ca5e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-001.yaml @@ -0,0 +1,41 @@ +model: gemini-2.0-flash-001 +label: + en_US: Gemini 2.0 Flash 001 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-exp.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-exp.yaml new file mode 100644 index 00000000..966617e9 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-exp.yaml @@ -0,0 +1,41 @@ +model: gemini-2.0-flash-exp +label: + en_US: Gemini 2.0 Flash Exp +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml new file mode 100644 index 00000000..9c0a1e06 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml @@ -0,0 +1,41 @@ +model: gemini-2.0-flash-lite-preview-02-05 +label: + en_US: Gemini 2.0 Flash Lite Preview 0205 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml new file mode 100644 index 00000000..71676264 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml @@ -0,0 +1,39 @@ +model: gemini-2.0-flash-thinking-exp-01-21 +label: + en_US: Gemini 2.0 Flash Thinking Exp 01-21 +model_type: llm +features: + - agent-thought + - vision + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-1219.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-1219.yaml new file mode 100644 index 00000000..dfcf8fd0 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-1219.yaml @@ -0,0 +1,39 @@ +model: gemini-2.0-flash-thinking-exp-1219 +label: + en_US: Gemini 2.0 Flash Thinking Exp 1219 +model_type: llm +features: + - agent-thought + - vision + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-pro-exp-02-05.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-pro-exp-02-05.yaml new file mode 100644 index 00000000..fb571f08 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-pro-exp-02-05.yaml @@ -0,0 +1,41 @@ +model: gemini-2.0-pro-exp-02-05 +label: + en_US: Gemini 2.0 pro exp 02-05 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1114.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1114.yaml new file mode 100644 index 00000000..bd49b476 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1114.yaml @@ -0,0 +1,41 @@ +model: gemini-exp-1114 +label: + en_US: Gemini exp 1114 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1121.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1121.yaml new file mode 100644 index 00000000..8e3f218d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1121.yaml @@ -0,0 +1,41 @@ +model: gemini-exp-1121 +label: + en_US: Gemini exp 1121 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1206.yaml b/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1206.yaml new file mode 100644 index 00000000..7a7c361c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1206.yaml @@ -0,0 +1,41 @@ +model: gemini-exp-1206 +label: + en_US: Gemini exp 1206 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/google/llm/learnlm-1.5-pro-experimental.yaml b/ai-provider/model-runtime/model-providers/google/llm/learnlm-1.5-pro-experimental.yaml new file mode 100644 index 00000000..f6d90d52 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/google/llm/learnlm-1.5-pro-experimental.yaml @@ -0,0 +1,41 @@ +model: learnlm-1.5-pro-experimental +label: + en_US: LearnLM 1.5 Pro Experimental +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/deepseek-r1-distill-llama-70b.yaml b/ai-provider/model-runtime/model-providers/groq/llm/deepseek-r1-distill-llama-70b.yaml new file mode 100644 index 00000000..4947897c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/deepseek-r1-distill-llama-70b.yaml @@ -0,0 +1,36 @@ +model: deepseek-r1-distill-llama-70b +label: + en_US: DeepSeek R1 Distill Llama 70b +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '3.00' + output: '3.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/gemma-7b-it.yaml b/ai-provider/model-runtime/model-providers/groq/llm/gemma-7b-it.yaml new file mode 100644 index 00000000..157baaf3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/gemma-7b-it.yaml @@ -0,0 +1,37 @@ +model: gemma-7b-it +label: + zh_Hans: Gemma 7B Instruction Tuned + en_US: Gemma 7B Instruction Tuned +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/gemma2-9b-it.yaml b/ai-provider/model-runtime/model-providers/groq/llm/gemma2-9b-it.yaml new file mode 100644 index 00000000..d0294ac6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/gemma2-9b-it.yaml @@ -0,0 +1,37 @@ +model: gemma2-9b-it +label: + zh_Hans: Gemma 2 9B Instruction Tuned + en_US: Gemma 2 9B Instruction Tuned +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-text-preview.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-text-preview.yaml new file mode 100644 index 00000000..e6eadeb0 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-text-preview.yaml @@ -0,0 +1,38 @@ +model: llama-3.2-11b-text-preview +deprecated: true +label: + zh_Hans: Llama 3.2 11B Text (Preview) + en_US: Llama 3.2 11B Text (Preview) +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-vision-preview.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-vision-preview.yaml new file mode 100644 index 00000000..241a7bed --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-vision-preview.yaml @@ -0,0 +1,38 @@ +model: llama-3.2-11b-vision-preview +label: + zh_Hans: Llama 3.2 11B Vision (Preview) + en_US: Llama 3.2 11B Vision (Preview) +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-1b-preview.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-1b-preview.yaml new file mode 100644 index 00000000..a6087d34 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-1b-preview.yaml @@ -0,0 +1,37 @@ +model: llama-3.2-1b-preview +label: + zh_Hans: Llama 3.2 1B Text (Preview) + en_US: Llama 3.2 1B Text (Preview) +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-3b-preview.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-3b-preview.yaml new file mode 100644 index 00000000..93a8127e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-3b-preview.yaml @@ -0,0 +1,37 @@ +model: llama-3.2-3b-preview +label: + zh_Hans: Llama 3.2 3B Text (Preview) + en_US: Llama 3.2 3B Text (Preview) +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-text-preview.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-text-preview.yaml new file mode 100644 index 00000000..f9361bff --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-text-preview.yaml @@ -0,0 +1,38 @@ +model: llama-3.2-90b-text-preview +depraceted: true +label: + zh_Hans: Llama 3.2 90B Text (Preview) + en_US: Llama 3.2 90B Text (Preview) +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-vision-preview.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-vision-preview.yaml new file mode 100644 index 00000000..145b4579 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-vision-preview.yaml @@ -0,0 +1,38 @@ +model: llama-3.2-90b-vision-preview +label: + zh_Hans: Llama 3.2 90B Vision (Preview) + en_US: Llama 3.2 90B Vision (Preview) +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.1' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-specdec.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-specdec.yaml new file mode 100644 index 00000000..916dfee3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-specdec.yaml @@ -0,0 +1,38 @@ +model: llama-3.3-70b-specdec +label: + zh_Hans: Llama 3.3 70B Specdec + en_US: Llama 3.3 70B Specdec +model_type: llm +features: + - agent-thought + - multi-tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32768 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: "0.05" + output: "0.1" + unit: "0.000001" + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-versatile.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-versatile.yaml new file mode 100644 index 00000000..a5de4e75 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-versatile.yaml @@ -0,0 +1,38 @@ +model: llama-3.3-70b-versatile +label: + zh_Hans: Llama 3.3 70B Versatile + en_US: Llama 3.3 70B Versatile +model_type: llm +features: + - agent-thought + - multi-tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32768 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: "0.05" + output: "0.1" + unit: "0.000001" + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama-guard-3-8b.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama-guard-3-8b.yaml new file mode 100644 index 00000000..bd8e5d2a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama-guard-3-8b.yaml @@ -0,0 +1,37 @@ +model: llama-guard-3-8b +label: + zh_Hans: Llama-Guard-3-8B + en_US: Llama-Guard-3-8B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.20' + output: '0.20' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/groq/llm/llama3-groq-70b-8192-tool-use-preview.yaml b/ai-provider/model-runtime/model-providers/groq/llm/llama3-groq-70b-8192-tool-use-preview.yaml new file mode 100644 index 00000000..61c83c98 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/groq/llm/llama3-groq-70b-8192-tool-use-preview.yaml @@ -0,0 +1,38 @@ +model: llama3-groq-70b-8192-tool-use-preview +label: + zh_Hans: Llama3-groq-70b-8192-tool-use (PREVIEW) + en_US: Llama3-groq-70b-8192-tool-use (PREVIEW) +model_type: llm +features: + - agent-thought + - multi-tool-call +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 8192 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.05' + output: '0.08' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-functioncall.yaml b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-functioncall.yaml new file mode 100644 index 00000000..eb865691 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-functioncall.yaml @@ -0,0 +1,38 @@ +model: hunyuan-functioncall +label: + zh_Hans: hunyuan-functioncall + en_US: hunyuan-functioncall +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32000 + - name: enable_enhance + label: + zh_Hans: 功能增强 + en_US: Enable Enhancement + type: boolean + help: + zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 + en_US: Allow the model to perform external search to enhance the generation results. + required: false + default: true +pricing: + input: '0.004' + output: '0.008' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-longcontext.yaml b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-longcontext.yaml new file mode 100644 index 00000000..c39724a3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-longcontext.yaml @@ -0,0 +1,38 @@ +model: hunyuan-large-longcontext +label: + zh_Hans: hunyuan-large-longcontext + en_US: hunyuan-large-longcontext +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 134000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 134000 + - name: enable_enhance + label: + zh_Hans: 功能增强 + en_US: Enable Enhancement + type: boolean + help: + zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 + en_US: Allow the model to perform external search to enhance the generation results. + required: false + default: true +pricing: + input: '0.006' + output: '0.018' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-role.yaml b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-role.yaml new file mode 100644 index 00000000..1b40b35e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-role.yaml @@ -0,0 +1,38 @@ +model: hunyuan-large-role +label: + zh_Hans: hunyuan-large-role + en_US: hunyuan-large-role +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32000 + - name: enable_enhance + label: + zh_Hans: 功能增强 + en_US: Enable Enhancement + type: boolean + help: + zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 + en_US: Allow the model to perform external search to enhance the generation results. + required: false + default: true +pricing: + input: '0.004' + output: '0.008' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large.yaml b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large.yaml new file mode 100644 index 00000000..87dc104e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large.yaml @@ -0,0 +1,38 @@ +model: hunyuan-large +label: + zh_Hans: hunyuan-large + en_US: hunyuan-large +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32000 + - name: enable_enhance + label: + zh_Hans: 功能增强 + en_US: Enable Enhancement + type: boolean + help: + zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 + en_US: Allow the model to perform external search to enhance the generation results. + required: false + default: true +pricing: + input: '0.004' + output: '0.012' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-role.yaml b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-role.yaml new file mode 100644 index 00000000..0f6d2c5c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-role.yaml @@ -0,0 +1,38 @@ +model: hunyuan-role +label: + zh_Hans: hunyuan-role + en_US: hunyuan-role +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32000 + - name: enable_enhance + label: + zh_Hans: 功能增强 + en_US: Enable Enhancement + type: boolean + help: + zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 + en_US: Allow the model to perform external search to enhance the generation results. + required: false + default: true +pricing: + input: '0.004' + output: '0.008' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-latest.yaml b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-latest.yaml new file mode 100644 index 00000000..adfa3a4c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-latest.yaml @@ -0,0 +1,38 @@ +model: hunyuan-turbo-latest +label: + zh_Hans: hunyuan-turbo-latest + en_US: hunyuan-turbo-latest +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 32000 + - name: enable_enhance + label: + zh_Hans: 功能增强 + en_US: Enable Enhancement + type: boolean + help: + zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 + en_US: Allow the model to perform external search to enhance the generation results. + required: false + default: true +pricing: + input: '0.015' + output: '0.05' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-vision.yaml b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-vision.yaml new file mode 100644 index 00000000..5b9b17cc --- /dev/null +++ b/ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-vision.yaml @@ -0,0 +1,39 @@ +model: hunyuan-turbo-vision +label: + zh_Hans: hunyuan-turbo-vision + en_US: hunyuan-turbo-vision +model_type: llm +features: + - agent-thought + - tool-call + - multi-tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 8000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 8000 + - name: enable_enhance + label: + zh_Hans: 功能增强 + en_US: Enable Enhancement + type: boolean + help: + zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。 + en_US: Allow the model to perform external search to enhance the generation results. + required: false + default: true +pricing: + input: '0.08' + output: '0.08' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/minimax/llm/abab6.5t-chat.yaml b/ai-provider/model-runtime/model-providers/minimax/llm/abab6.5t-chat.yaml new file mode 100644 index 00000000..cc8a3aa0 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/minimax/llm/abab6.5t-chat.yaml @@ -0,0 +1,44 @@ +model: abab6.5t-chat +label: + en_US: Abab6.5t-Chat +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + min: 0.01 + max: 1 + default: 0.9 + - name: top_p + use_template: top_p + min: 0.01 + max: 1 + default: 0.95 + - name: max_tokens + use_template: max_tokens + required: true + default: 3072 + min: 1 + max: 8192 + - name: mask_sensitive_info + type: boolean + default: true + label: + zh_Hans: 隐私保护 + en_US: Moderate + help: + zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 + en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.005' + output: '0.005' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/minimax/llm/abab7-chat-preview.yaml b/ai-provider/model-runtime/model-providers/minimax/llm/abab7-chat-preview.yaml new file mode 100644 index 00000000..bb9899d5 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/minimax/llm/abab7-chat-preview.yaml @@ -0,0 +1,46 @@ +model: abab7-chat-preview +label: + en_US: Abab7-chat-preview +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 245760 +parameter_rules: + - name: temperature + use_template: temperature + min: 0.01 + max: 1 + default: 0.1 + - name: top_p + use_template: top_p + min: 0.01 + max: 1 + default: 0.95 + - name: max_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 245760 + - name: mask_sensitive_info + type: boolean + default: true + label: + zh_Hans: 隐私保护 + en_US: Moderate + help: + zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 + en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.1' + output: '0.1' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/minimax/llm/minimax-text-01.yaml b/ai-provider/model-runtime/model-providers/minimax/llm/minimax-text-01.yaml new file mode 100644 index 00000000..8f31aa87 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/minimax/llm/minimax-text-01.yaml @@ -0,0 +1,46 @@ +model: minimax-text-01 +label: + en_US: Minimax-Text-01 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 1000192 +parameter_rules: + - name: temperature + use_template: temperature + min: 0.01 + max: 1 + default: 0.1 + - name: top_p + use_template: top_p + min: 0.01 + max: 1 + default: 0.95 + - name: max_tokens + use_template: max_tokens + required: true + default: 2048 + min: 1 + max: 1000192 + - name: mask_sensitive_info + type: boolean + default: true + label: + zh_Hans: 隐私保护 + en_US: Moderate + help: + zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码 + en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id.. + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: '0.001' + output: '0.008' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/mistralai/llm/pixtral-large-2411.yaml b/ai-provider/model-runtime/model-providers/mistralai/llm/pixtral-large-2411.yaml new file mode 100644 index 00000000..606c9aa3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/mistralai/llm/pixtral-large-2411.yaml @@ -0,0 +1,52 @@ +model: pixtral-large-2411 +label: + zh_Hans: pixtral-large-2411 + en_US: pixtral-large-2411 +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.7 + min: 0 + max: 1 + - name: top_p + use_template: top_p + default: 1 + min: 0 + max: 1 + - name: max_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: safe_prompt + default: false + type: boolean + help: + en_US: Whether to inject a safety prompt before all conversations. + zh_Hans: 是否开启提示词审查 + label: + en_US: SafePrompt + zh_Hans: 提示词审查 + - name: random_seed + type: int + help: + en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. + zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 + label: + en_US: RandomSeed + zh_Hans: 随机数种子 + default: 0 + min: 0 + max: 2147483647 +pricing: + input: '0.008' + output: '0.024' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/mistralai/llm/pixtral-large-latest.yaml b/ai-provider/model-runtime/model-providers/mistralai/llm/pixtral-large-latest.yaml new file mode 100644 index 00000000..4f0ed5ae --- /dev/null +++ b/ai-provider/model-runtime/model-providers/mistralai/llm/pixtral-large-latest.yaml @@ -0,0 +1,52 @@ +model: pixtral-large-latest +label: + zh_Hans: pixtral-large-latest + en_US: pixtral-large-latest +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.7 + min: 0 + max: 1 + - name: top_p + use_template: top_p + default: 1 + min: 0 + max: 1 + - name: max_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: safe_prompt + default: false + type: boolean + help: + en_US: Whether to inject a safety prompt before all conversations. + zh_Hans: 是否开启提示词审查 + label: + en_US: SafePrompt + zh_Hans: 提示词审查 + - name: random_seed + type: int + help: + en_US: The seed to use for random sampling. If set, different calls will generate deterministic results. + zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定 + label: + en_US: RandomSeed + zh_Hans: 随机数种子 + default: 0 + min: 0 + max: 2147483647 +pricing: + input: '0.008' + output: '0.024' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/L3-8B-Stheno-v3.2.yaml b/ai-provider/model-runtime/model-providers/novita/llm/L3-8B-Stheno-v3.2.yaml new file mode 100644 index 00000000..34e03747 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/L3-8B-Stheno-v3.2.yaml @@ -0,0 +1,41 @@ +model: Sao10K/L3-8B-Stheno-v3.2 +label: + zh_Hans: L3 8B Stheno V3.2 + en_US: L3 8B Stheno V3.2 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0005' + output: '0.0005' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/deepseek-r1.yaml b/ai-provider/model-runtime/model-providers/novita/llm/deepseek-r1.yaml new file mode 100644 index 00000000..ce80aa82 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/deepseek-r1.yaml @@ -0,0 +1,41 @@ +model: deepseek/deepseek-r1 +label: + zh_Hans: DeepSeek R1 + en_US: DeepSeek R1 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 64000 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.04' + output: '0.04' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/deepseek_v3.yaml b/ai-provider/model-runtime/model-providers/novita/llm/deepseek_v3.yaml new file mode 100644 index 00000000..261a0a67 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/deepseek_v3.yaml @@ -0,0 +1,41 @@ +model: deepseek/deepseek_v3 +label: + zh_Hans: DeepSeek V3 + en_US: DeepSeek V3 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 64000 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0089' + output: '0.0089' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/l3-8b-lunaris.yaml b/ai-provider/model-runtime/model-providers/novita/llm/l3-8b-lunaris.yaml new file mode 100644 index 00000000..d22ecaed --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/l3-8b-lunaris.yaml @@ -0,0 +1,41 @@ +model: sao10k/l3-8b-lunaris +label: + zh_Hans: "Sao10k L3 8B Lunaris" + en_US: "Sao10k L3 8B Lunaris" +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0005' + output: '0.0005' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/l31-70b-euryale-v2.2.yaml b/ai-provider/model-runtime/model-providers/novita/llm/l31-70b-euryale-v2.2.yaml new file mode 100644 index 00000000..19cfe31a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/l31-70b-euryale-v2.2.yaml @@ -0,0 +1,41 @@ +model: sao10k/l31-70b-euryale-v2.2 +label: + zh_Hans: L31 70B Euryale V2.2 + en_US: L31 70B Euryale V2.2 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 16000 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0148' + output: '0.0148' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml new file mode 100644 index 00000000..b172084f --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.1-8b-instruct-bf16.yaml @@ -0,0 +1,41 @@ +model: meta-llama/llama-3.1-8b-instruct-bf16 +label: + zh_Hans: Llama 3.1 8B Instruct BF16 + en_US: Llama 3.1 8B Instruct BF16 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0006' + output: '0.0006' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/llama-3.1-8b-instruct-max.yaml b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.1-8b-instruct-max.yaml new file mode 100644 index 00000000..1ddd8e2d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.1-8b-instruct-max.yaml @@ -0,0 +1,41 @@ +model: meta-llama/llama-3.1-8b-instruct-max +label: + zh_Hans: "Llama3.1 8B Instruct Max\t" + en_US: "Llama3.1 8B Instruct Max\t" +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 16384 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0005' + output: '0.0005' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-11b-vision-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-11b-vision-instruct.yaml new file mode 100644 index 00000000..f33fa6e5 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-11b-vision-instruct.yaml @@ -0,0 +1,41 @@ +model: meta-llama/llama-3.2-11b-vision-instruct +label: + zh_Hans: "Llama 3.2 11B Vision Instruct\t" + en_US: "Llama 3.2 11B Vision Instruct\t" +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0006' + output: '0.0006' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-1b-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-1b-instruct.yaml new file mode 100644 index 00000000..f09750f8 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-1b-instruct.yaml @@ -0,0 +1,41 @@ +model: meta-llama/llama-3.2-1b-instruct +label: + zh_Hans: "Llama 3.2 1B Instruct\t" + en_US: "Llama 3.2 1B Instruct\t" +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131000 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0002' + output: '0.0002' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-3b-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-3b-instruct.yaml new file mode 100644 index 00000000..7a19ef47 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.2-3b-instruct.yaml @@ -0,0 +1,41 @@ +model: meta-llama/llama-3.2-3b-instruct +label: + zh_Hans: Llama 3.2 3B Instruct + en_US: Llama 3.2 3B Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0003' + output: '0.0005' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/llama-3.3-70b-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.3-70b-instruct.yaml new file mode 100644 index 00000000..efdc2cc9 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/llama-3.3-70b-instruct.yaml @@ -0,0 +1,41 @@ +model: meta-llama/llama-3.3-70b-instruct +label: + zh_Hans: Llama 3.3 70B Instruct + en_US: Llama 3.3 70B Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0039' + output: '0.0039' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/llm.py b/ai-provider/model-runtime/model-providers/novita/llm/llm.py deleted file mode 100644 index 23367ed1..00000000 --- a/ai-provider/model-runtime/model-providers/novita/llm/llm.py +++ /dev/null @@ -1,69 +0,0 @@ -from collections.abc import Generator -from typing import Optional, Union - -from core.model_runtime.entities.llm_entities import LLMResult -from core.model_runtime.entities.message_entities import PromptMessage, PromptMessageTool -from core.model_runtime.entities.model_entities import AIModelEntity -from core.model_runtime.model_providers.openai_api_compatible.llm.llm import OAIAPICompatLargeLanguageModel - - -class NovitaLargeLanguageModel(OAIAPICompatLargeLanguageModel): - def _update_endpoint_url(self, credentials: dict): - credentials["endpoint_url"] = "https://api.novita.ai/v3/openai" - credentials["extra_headers"] = {"X-Novita-Source": "dify.ai"} - return credentials - - def _invoke( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - return super()._invoke(model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user) - - def validate_credentials(self, model: str, credentials: dict) -> None: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - self._add_custom_parameters(credentials, model) - return super().validate_credentials(model, cred_with_endpoint) - - @classmethod - def _add_custom_parameters(cls, credentials: dict, model: str) -> None: - credentials["mode"] = "chat" - - def _generate( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - model_parameters: dict, - tools: Optional[list[PromptMessageTool]] = None, - stop: Optional[list[str]] = None, - stream: bool = True, - user: Optional[str] = None, - ) -> Union[LLMResult, Generator]: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - return super()._generate( - model, cred_with_endpoint, prompt_messages, model_parameters, tools, stop, stream, user - ) - - def get_customizable_model_schema(self, model: str, credentials: dict) -> AIModelEntity: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super().get_customizable_model_schema(model, cred_with_endpoint) - - def get_num_tokens( - self, - model: str, - credentials: dict, - prompt_messages: list[PromptMessage], - tools: Optional[list[PromptMessageTool]] = None, - ) -> int: - cred_with_endpoint = self._update_endpoint_url(credentials=credentials) - - return super().get_num_tokens(model, cred_with_endpoint, prompt_messages, tools) diff --git a/ai-provider/model-runtime/model-providers/novita/llm/mistral-nemo.yaml b/ai-provider/model-runtime/model-providers/novita/llm/mistral-nemo.yaml new file mode 100644 index 00000000..6f116738 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/mistral-nemo.yaml @@ -0,0 +1,41 @@ +model: mistralai/mistral-nemo +label: + zh_Hans: Mistral Nemo + en_US: Mistral Nemo +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0017' + output: '0.0017' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/openchat-7b.yaml b/ai-provider/model-runtime/model-providers/novita/llm/openchat-7b.yaml new file mode 100644 index 00000000..b21ea301 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/openchat-7b.yaml @@ -0,0 +1,41 @@ +model: openchat/openchat-7b +label: + zh_Hans: OpenChat 7B + en_US: OpenChat 7B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 4096 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0006' + output: '0.0006' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-72b-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-72b-instruct.yaml new file mode 100644 index 00000000..069f9096 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-72b-instruct.yaml @@ -0,0 +1,41 @@ +model: qwen/qwen-2-72b-instruct +label: + zh_Hans: Qwen2 72B Instruct + en_US: Qwen2 72B Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0034' + output: '0.0039' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-7b-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-7b-instruct.yaml new file mode 100644 index 00000000..afc627f1 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-7b-instruct.yaml @@ -0,0 +1,41 @@ +model: qwen/qwen-2-7b-instruct +label: + zh_Hans: Qwen 2 7B Instruct + en_US: Qwen 2 7B Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.00054' + output: '0.00054' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-vl-72b-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-vl-72b-instruct.yaml new file mode 100644 index 00000000..06bdf0c8 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2-vl-72b-instruct.yaml @@ -0,0 +1,41 @@ +model: qwen/qwen-2-vl-72b-instruct +label: + zh_Hans: Qwen 2 VL 72B Instruct + en_US: Qwen 2 VL 72B Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0045' + output: '0.0045' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/novita/llm/qwen-2.5-72b-instruct.yaml b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2.5-72b-instruct.yaml new file mode 100644 index 00000000..97f5af35 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/novita/llm/qwen-2.5-72b-instruct.yaml @@ -0,0 +1,41 @@ +model: qwen/qwen-2.5-72b-instruct +label: + zh_Hans: Qwen 2.5 72B Instruct + en_US: Qwen 2.5 72B Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 2 + default: 1 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 2048 + default: 512 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 +pricing: + input: '0.0038' + output: '0.004' + unit: '0.0001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/nvidia/llm/deepseek-r1.yaml b/ai-provider/model-runtime/model-providers/nvidia/llm/deepseek-r1.yaml new file mode 100644 index 00000000..159941ec --- /dev/null +++ b/ai-provider/model-runtime/model-providers/nvidia/llm/deepseek-r1.yaml @@ -0,0 +1,35 @@ +model: deepseek-ai/deepseek-r1 +label: + en_US: deepseek-ai/deepseek-r1 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + min: 0 + max: 1 + default: 0.5 + - name: top_p + use_template: top_p + min: 0 + max: 1 + default: 1 + - name: max_tokens + use_template: max_tokens + min: 1 + max: 1024 + default: 1024 + - name: frequency_penalty + use_template: frequency_penalty + min: -2 + max: 2 + default: 0 + - name: presence_penalty + use_template: presence_penalty + min: -2 + max: 2 + default: 0 diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-11-20.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-11-20.yaml new file mode 100644 index 00000000..2c7c1c6e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-2024-11-20.yaml @@ -0,0 +1,47 @@ +model: gpt-4o-2024-11-20 +label: + zh_Hans: gpt-4o-2024-11-20 + en_US: gpt-4o-2024-11-20 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 16384 + min: 1 + max: 16384 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object + - json_schema + - name: json_schema + use_template: json_schema +pricing: + input: '2.50' + output: '10.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-audio-preview.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-audio-preview.yaml new file mode 100644 index 00000000..e707acc5 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/gpt-4o-audio-preview.yaml @@ -0,0 +1,44 @@ +model: gpt-4o-audio-preview +label: + zh_Hans: gpt-4o-audio-preview + en_US: gpt-4o-audio-preview +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - audio +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 16384 + min: 1 + max: 16384 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '5.00' + output: '15.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o1-2024-12-17.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o1-2024-12-17.yaml new file mode 100644 index 00000000..643258a2 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o1-2024-12-17.yaml @@ -0,0 +1,48 @@ +model: o1-2024-12-17 +label: + en_US: o1-2024-12-17 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 50000 + min: 1 + max: 50000 + - name: reasoning_effort + label: + zh_Hans: 推理工作 + en_US: reasoning_effort + type: string + help: + zh_Hans: 限制推理模型的推理工作 + en_US: constrains effort on reasoning for reasoning models + required: false + options: + - low + - medium + - high + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '15.00' + output: '60.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o1.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o1.yaml new file mode 100644 index 00000000..53d5f719 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o1.yaml @@ -0,0 +1,49 @@ +model: o1 +label: + zh_Hans: o1 + en_US: o1 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 50000 + min: 1 + max: 50000 + - name: reasoning_effort + label: + zh_Hans: 推理工作 + en_US: reasoning_effort + type: string + help: + zh_Hans: 限制推理模型的推理工作 + en_US: constrains effort on reasoning for reasoning models + required: false + options: + - low + - medium + - high + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '15.00' + output: '60.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o3-mini-2025-01-31.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o3-mini-2025-01-31.yaml new file mode 100644 index 00000000..3f717bf0 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o3-mini-2025-01-31.yaml @@ -0,0 +1,46 @@ +model: o3-mini-2025-01-31 +label: + zh_Hans: o3-mini-2025-01-31 + en_US: o3-mini-2025-01-31 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 100000 + min: 1 + max: 100000 + - name: reasoning_effort + label: + zh_Hans: 推理工作 + en_US: reasoning_effort + type: string + help: + zh_Hans: 限制推理模型的推理工作 + en_US: constrains effort on reasoning for reasoning models + required: false + options: + - low + - medium + - high + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '1.10' + output: '4.40' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openAI/llm/o3-mini.yaml b/ai-provider/model-runtime/model-providers/openAI/llm/o3-mini.yaml new file mode 100644 index 00000000..755fc005 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openAI/llm/o3-mini.yaml @@ -0,0 +1,46 @@ +model: o3-mini +label: + zh_Hans: o3-mini + en_US: o3-mini +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + default: 100000 + min: 1 + max: 100000 + - name: reasoning_effort + label: + zh_Hans: 推理工作 + en_US: reasoning_effort + type: string + help: + zh_Hans: 限制推理模型的推理工作 + en_US: constrains effort on reasoning for reasoning models + required: false + options: + - low + - medium + - high + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '1.10' + output: '4.40' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/claude-3-5-haiku.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/claude-3-5-haiku.yaml new file mode 100644 index 00000000..de45093a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/claude-3-5-haiku.yaml @@ -0,0 +1,38 @@ +model: anthropic/claude-3-5-haiku +label: + en_US: claude-3-5-haiku +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_tokens + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 + - name: response_format + use_template: response_format +pricing: + input: "1" + output: "5" + unit: "0.000001" + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/deepseek-r1.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/deepseek-r1.yaml new file mode 100644 index 00000000..488b7dd4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/deepseek-r1.yaml @@ -0,0 +1,59 @@ +model: deepseek/deepseek-r1 +label: + en_US: deepseek-r1 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 163840 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 1 + min: 0.0 + max: 2.0 + help: + zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 + en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. + - name: max_tokens + use_template: max_tokens + type: int + default: 4096 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + type: float + default: 1 + min: 0.01 + max: 1.00 + help: + zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 + en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + default: 0 + min: -2.0 + max: 2.0 + help: + zh_Hans: 介于 -2.0 和 2.0 之间的数字。如果该值为正，那么新 token 会根据其在已有文本中的出现频率受到相应的惩罚，降低模型重复相同内容的可能性。 + en_US: A number between -2.0 and 2.0. If the value is positive, new tokens are penalized based on their frequency of occurrence in existing text, reducing the likelihood that the model will repeat the same content. +pricing: + input: "3" + output: "8" + unit: "0.000001" + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml new file mode 100644 index 00000000..6ad2c26c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-11b-vision-instruct.yaml @@ -0,0 +1,46 @@ +model: meta-llama/llama-3.2-11b-vision-instruct +label: + zh_Hans: llama-3.2-11b-vision-instruct + en_US: llama-3.2-11b-vision-instruct +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.055' + output: '0.055' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-1b-instruct.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-1b-instruct.yaml new file mode 100644 index 00000000..657ef168 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-1b-instruct.yaml @@ -0,0 +1,45 @@ +model: meta-llama/llama-3.2-1b-instruct +label: + zh_Hans: llama-3.2-1b-instruct + en_US: llama-3.2-1b-instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.01' + output: '0.02' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-3b-instruct.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-3b-instruct.yaml new file mode 100644 index 00000000..7f6e24e5 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-3b-instruct.yaml @@ -0,0 +1,45 @@ +model: meta-llama/llama-3.2-3b-instruct +label: + zh_Hans: llama-3.2-3b-instruct + en_US: llama-3.2-3b-instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.03' + output: '0.05' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml new file mode 100644 index 00000000..c264db0f --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/llama-3.2-90b-vision-instruct.yaml @@ -0,0 +1,46 @@ +model: meta-llama/llama-3.2-90b-vision-instruct +label: + zh_Hans: llama-3.2-90b-vision-instruct + en_US: llama-3.2-90b-vision-instruct +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + - name: max_tokens + use_template: max_tokens + - name: context_length_exceeded_behavior + default: None + label: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + help: + zh_Hans: 上下文长度超出行为 + en_US: Context Length Exceeded Behavior + type: string + options: + - None + - truncate + - error + - name: response_format + use_template: response_format +pricing: + input: '0.35' + output: '0.4' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/o3-mini-2025-01-31.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/o3-mini-2025-01-31.yaml new file mode 100644 index 00000000..0cb38c11 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/o3-mini-2025-01-31.yaml @@ -0,0 +1,49 @@ +model: openai/o3-mini-2025-01-31 +label: + en_US: o3-mini-2025-01-31 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 100000 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: "1.10" + output: "4.40" + unit: "0.000001" + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/o3-mini.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/o3-mini.yaml new file mode 100644 index 00000000..6fe38bd3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/o3-mini.yaml @@ -0,0 +1,49 @@ +model: openai/o3-mini +label: + en_US: o3-mini +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 100000 + - name: response_format + label: + zh_Hans: 回复格式 + en_US: response_format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: "1.10" + output: "4.40" + unit: "0.000001" + currency: USD diff --git a/ai-provider/model-runtime/model-providers/openrouter/llm/qwen2.5-72b-instruct.yaml b/ai-provider/model-runtime/model-providers/openrouter/llm/qwen2.5-72b-instruct.yaml new file mode 100644 index 00000000..5392b111 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/openrouter/llm/qwen2.5-72b-instruct.yaml @@ -0,0 +1,39 @@ +model: qwen/qwen-2.5-72b-instruct +label: + en_US: qwen-2.5-72b-instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 8192 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty +pricing: + input: "0.35" + output: "0.4" + unit: "0.000001" + currency: USD diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/Internvl2-26b.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/Internvl2-26b.yaml new file mode 100644 index 00000000..f7b03e12 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/Internvl2-26b.yaml @@ -0,0 +1,84 @@ +model: OpenGVLab/InternVL2-26B +label: + en_US: OpenGVLab/InternVL2-26B +model_type: llm +features: + - vision +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '21' + output: '21' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/Internvl2-8b.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/Internvl2-8b.yaml new file mode 100644 index 00000000..1e858bb4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/Internvl2-8b.yaml @@ -0,0 +1,84 @@ +model: Pro/OpenGVLab/InternVL2-8B +label: + en_US: Pro/OpenGVLab/InternVL2-8B +model_type: llm +features: + - vision +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '21' + output: '21' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml new file mode 100644 index 00000000..59e0b4d6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-llama-70B.yaml @@ -0,0 +1,21 @@ +model: deepseek-ai/DeepSeek-R1-Distill-Llama-70B +label: + zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-70B + en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-70B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.00" + output: "4.3" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml new file mode 100644 index 00000000..f3256aa5 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-llama-8B.yaml @@ -0,0 +1,21 @@ +model: deepseek-ai/DeepSeek-R1-Distill-Llama-8B +label: + zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Llama-8B + en_US: deepseek-ai/DeepSeek-R1-Distill-Llama-8B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.00" + output: "0.00" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml new file mode 100644 index 00000000..72972786 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-1.5B.yaml @@ -0,0 +1,21 @@ +model: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B +label: + zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B + en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.00" + output: "1.26" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml new file mode 100644 index 00000000..24b5c89e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-14B.yaml @@ -0,0 +1,21 @@ +model: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B +label: + zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B + en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-14B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.00" + output: "0.70" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml new file mode 100644 index 00000000..2a8cce1f --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-32B.yaml @@ -0,0 +1,21 @@ +model: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B +label: + zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B + en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.00" + output: "1.26" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml new file mode 100644 index 00000000..cde1c14a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1-distill-qwen-7B.yaml @@ -0,0 +1,21 @@ +model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B +label: + zh_Hans: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B + en_US: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.00" + output: "0.00" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1.yaml new file mode 100644 index 00000000..44c6a9d5 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-r1.yaml @@ -0,0 +1,21 @@ +model: deepseek-ai/DeepSeek-R1 +label: + zh_Hans: deepseek-ai/DeepSeek-R1 + en_US: deepseek-ai/DeepSeek-R1 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 64000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "4" + output: "16" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-v3.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-v3.yaml new file mode 100644 index 00000000..ed1a5f00 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/deepseek-v3.yaml @@ -0,0 +1,53 @@ +model: deepseek-ai/DeepSeek-V3 +label: + en_US: deepseek-ai/DeepSeek-V3 +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 64000 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: "1" + output: "2" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/hunyuan-a52b-instruct.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/hunyuan-a52b-instruct.yaml new file mode 100644 index 00000000..51d6c024 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/hunyuan-a52b-instruct.yaml @@ -0,0 +1,85 @@ +model: Tencent/Hunyuan-A52B-Instruct +label: + en_US: Tencent/Hunyuan-A52B-Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '21' + output: '21' + unit: '0.000001' + currency: RMB +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/internlm2_5-20b-chat.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/internlm2_5-20b-chat.yaml new file mode 100644 index 00000000..a5ae3674 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/internlm2_5-20b-chat.yaml @@ -0,0 +1,51 @@ +model: internlm/internlm2_5-20b-chat +label: + en_US: internlm/internlm2_5-20b-chat +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '1' + output: '1' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/internvl2-llama3-76b.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/internvl2-llama3-76b.yaml new file mode 100644 index 00000000..b5443df1 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/internvl2-llama3-76b.yaml @@ -0,0 +1,85 @@ +model: OpenGVLab/InternVL2-Llama3-76B +label: + en_US: OpenGVLab/InternVL2-Llama3-76B +model_type: llm +features: + - vision +model_properties: + mode: chat + context_size: 8192 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '21' + output: '21' + unit: '0.000001' + currency: RMB +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/janus-pro-7B.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/janus-pro-7B.yaml new file mode 100644 index 00000000..dabbd745 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/janus-pro-7B.yaml @@ -0,0 +1,22 @@ +model: deepseek-ai/Janus-Pro-7B +label: + zh_Hans: deepseek-ai/Janus-Pro-7B + en_US: deepseek-ai/Janus-Pro-7B +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.00" + output: "0.00" + unit: "0.000001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml new file mode 100644 index 00000000..9373a8f4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/meta-llama-3.3-70b-instruct.yaml @@ -0,0 +1,53 @@ +model: meta-llama/Llama-3.3-70B-Instruct +label: + en_US: meta-llama/Llama-3.3-70B-Instruct +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '4.13' + output: '4.13' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen-qvq-72B-preview.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen-qvq-72B-preview.yaml new file mode 100644 index 00000000..dada6bb8 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen-qvq-72B-preview.yaml @@ -0,0 +1,54 @@ +model: Qwen/QVQ-72B-Preview +label: + en_US: Qwen/QVQ-72B-Preview +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call + - vision +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 8192 + min: 1 + max: 16384 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '9.90' + output: '9.90' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen-qwq-32B-preview.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen-qwq-32B-preview.yaml new file mode 100644 index 00000000..e73c5d20 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen-qwq-32B-preview.yaml @@ -0,0 +1,53 @@ +model: Qwen/QwQ-32B-Preview +label: + en_US: Qwen/QwQ-32B-Preview +model_type: llm +features: + - agent-thought + - tool-call + - stream-tool-call +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 4096 + min: 1 + max: 8192 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '1.26' + output: '1.26' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml new file mode 100644 index 00000000..f5180b41 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2-vl-72b-instruct.yaml @@ -0,0 +1,84 @@ +model: Qwen/Qwen2-VL-72B-Instruct +label: + en_US: Qwen/Qwen2-VL-72B-Instruct +model_type: llm +features: + - vision +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '4.13' + output: '4.13' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml new file mode 100644 index 00000000..0ffbaee3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2-vl-7b-Instruct.yaml @@ -0,0 +1,84 @@ +model: Pro/Qwen/Qwen2-VL-7B-Instruct +label: + en_US: Pro/Qwen/Qwen2-VL-7B-Instruct +model_type: llm +features: + - vision +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.35' + output: '0.35' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml new file mode 100644 index 00000000..79f94da3 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-72b-instruct-128k.yaml @@ -0,0 +1,51 @@ +model: Qwen/Qwen2.5-72B-Instruct-128K +label: + en_US: Qwen/Qwen2.5-72B-Instruct-128K +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '4.13' + output: '4.13' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml new file mode 100644 index 00000000..fdbe38ff --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-72b-instruct-vendorA.yaml @@ -0,0 +1,51 @@ +model: Vendor-A/Qwen/Qwen2.5-72B-Instruct +label: + en_US: Vendor-A/Qwen/Qwen2.5-72B-Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '1.00' + output: '1.00' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml new file mode 100644 index 00000000..de2224a6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-coder-32b-instruct.yaml @@ -0,0 +1,84 @@ +model: Qwen/Qwen2.5-Coder-32B-Instruct +label: + en_US: Qwen/Qwen2.5-Coder-32B-Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32768 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '1.26' + output: '1.26' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml new file mode 100644 index 00000000..c31a338c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-coder-7b-instruct.yaml @@ -0,0 +1,84 @@ +model: Qwen/Qwen2.5-Coder-7B-Instruct +label: + en_US: Qwen/Qwen2.5-Coder-7B-Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0' + output: '0' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml new file mode 100644 index 00000000..40c9ab48 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/siliconflow/llm/qwen2.5-math-72b-instruct.yaml @@ -0,0 +1,85 @@ +model: Qwen/Qwen2.5-Math-72B-Instruct +label: + en_US: Qwen/Qwen2.5-Math-72B-Instruct +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 4096 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '4.13' + output: '4.13' + unit: '0.000001' + currency: RMB +deprecated: true diff --git a/ai-provider/model-runtime/model-providers/spark/llm/spark-1.5.yaml b/ai-provider/model-runtime/model-providers/spark/llm/spark-1.5.yaml new file mode 100644 index 00000000..fcd65c24 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/spark/llm/spark-1.5.yaml @@ -0,0 +1,34 @@ +model: spark-1.5 +deprecated: true +label: + en_US: Spark V1.5 +model_type: llm +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + help: + zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 + en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. + - name: max_tokens + use_template: max_tokens + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 模型回答的tokens的最大长度。 + en_US: 模型回答的tokens的最大长度。 + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + default: 4 + min: 1 + max: 6 + help: + zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 + en_US: Randomly select one from k candidates (non-equal probability). + required: false diff --git a/ai-provider/model-runtime/model-providers/spark/llm/spark-2.yaml b/ai-provider/model-runtime/model-providers/spark/llm/spark-2.yaml new file mode 100644 index 00000000..2db6805a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/spark/llm/spark-2.yaml @@ -0,0 +1,34 @@ +model: spark-2 +deprecated: true +label: + en_US: Spark V2.0 +model_type: llm +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + help: + zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 + en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. + - name: max_tokens + use_template: max_tokens + default: 2048 + min: 1 + max: 8192 + help: + zh_Hans: 模型回答的tokens的最大长度。 + en_US: 模型回答的tokens的最大长度。 + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + default: 4 + min: 1 + max: 6 + help: + zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 + en_US: Randomly select one from k candidates (non-equal probability). + required: false diff --git a/ai-provider/model-runtime/model-providers/spark/llm/spark-3.5.yaml b/ai-provider/model-runtime/model-providers/spark/llm/spark-3.5.yaml new file mode 100644 index 00000000..86617a53 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/spark/llm/spark-3.5.yaml @@ -0,0 +1,34 @@ +model: spark-3.5 +deprecated: true +label: + en_US: Spark V3.5 +model_type: llm +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + help: + zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 + en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. + - name: max_tokens + use_template: max_tokens + default: 2048 + min: 1 + max: 8192 + help: + zh_Hans: 模型回答的tokens的最大长度。 + en_US: 模型回答的tokens的最大长度。 + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + default: 4 + min: 1 + max: 6 + help: + zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 + en_US: Randomly select one from k candidates (non-equal probability). + required: false diff --git a/ai-provider/model-runtime/model-providers/spark/llm/spark-3.yaml b/ai-provider/model-runtime/model-providers/spark/llm/spark-3.yaml new file mode 100644 index 00000000..9f296c68 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/spark/llm/spark-3.yaml @@ -0,0 +1,34 @@ +model: spark-3 +deprecated: true +label: + en_US: Spark V3.0 +model_type: llm +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + help: + zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 + en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. + - name: max_tokens + use_template: max_tokens + default: 2048 + min: 1 + max: 8192 + help: + zh_Hans: 模型回答的tokens的最大长度。 + en_US: 模型回答的tokens的最大长度。 + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + default: 4 + min: 1 + max: 6 + help: + zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 + en_US: Randomly select one from k candidates (non-equal probability). + required: false diff --git a/ai-provider/model-runtime/model-providers/spark/llm/spark-4.yaml b/ai-provider/model-runtime/model-providers/spark/llm/spark-4.yaml new file mode 100644 index 00000000..4b5529e8 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/spark/llm/spark-4.yaml @@ -0,0 +1,34 @@ +model: spark-4 +deprecated: true +label: + en_US: Spark V4.0 +model_type: llm +model_properties: + mode: chat +parameter_rules: + - name: temperature + use_template: temperature + default: 0.5 + help: + zh_Hans: 核采样阈值。用于决定结果随机性，取值越高随机性越强即相同的问题得到的不同答案的可能性越高。 + en_US: Kernel sampling threshold. Used to determine the randomness of the results. The higher the value, the stronger the randomness, that is, the higher the possibility of getting different answers to the same question. + - name: max_tokens + use_template: max_tokens + default: 4096 + min: 1 + max: 8192 + help: + zh_Hans: 模型回答的tokens的最大长度。 + en_US: 模型回答的tokens的最大长度。 + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + default: 4 + min: 1 + max: 6 + help: + zh_Hans: 从 k 个候选中随机选择一个（非等概率）。 + en_US: Randomly select one from k candidates (non-equal probability). + required: false diff --git a/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml new file mode 100644 index 00000000..2bce8805 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1-distill-qwen-14B.yaml @@ -0,0 +1,21 @@ +model: deepseek-r1-distill-qwen-14b +label: + zh_Hans: DeepSeek-R1-Distill-Qwen-14B + en_US: DeepSeek-R1-Distill-Qwen-14B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.001" + output: "0.003" + unit: "0.001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml new file mode 100644 index 00000000..dfc155ff --- /dev/null +++ b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1-distill-qwen-32B.yaml @@ -0,0 +1,21 @@ +model: deepseek-r1-distill-qwen-32b +label: + zh_Hans: DeepSeek-R1-Distill-Qwen-32B + en_US: DeepSeek-R1-Distill-Qwen-32B +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 32000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.002" + output: "0.006" + unit: "0.001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1.yaml b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1.yaml new file mode 100644 index 00000000..742e7f00 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-r1.yaml @@ -0,0 +1,21 @@ +model: deepseek-r1 +label: + zh_Hans: DeepSeek-R1 + en_US: DeepSeek-R1 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 64000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + min: 1 + max: 8192 + default: 4096 +pricing: + input: "0.004" + output: "0.016" + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-v3.yaml b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-v3.yaml new file mode 100644 index 00000000..23f38d60 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/tongyi/llm/deepseek-v3.yaml @@ -0,0 +1,52 @@ +model: deepseek-v3 +label: + zh_Hans: DeepSeek-V3 + en_US: DeepSeek-V3 +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 64000 +parameter_rules: + - name: temperature + use_template: temperature + - name: max_tokens + use_template: max_tokens + type: int + default: 512 + min: 1 + max: 4096 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: "0.002" + output: "0.008" + unit: "0.001" + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/tongyi/llm/farui-plus.yaml b/ai-provider/model-runtime/model-providers/tongyi/llm/farui-plus.yaml new file mode 100644 index 00000000..34a57d1f --- /dev/null +++ b/ai-provider/model-runtime/model-providers/tongyi/llm/farui-plus.yaml @@ -0,0 +1,77 @@ +# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models +model: farui-plus +label: + en_US: farui-plus +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 12288 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 2000 + min: 1 + max: 2000 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + use_template: response_format +pricing: + input: '0.02' + output: '0.02' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml b/ai-provider/model-runtime/model-providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml new file mode 100644 index 00000000..c3d72ec4 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/tongyi/llm/qwen2.5-14b-instruct-1m.yaml @@ -0,0 +1,75 @@ +# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models +model: qwen2.5-14b-instruct-1m +label: + en_US: qwen2.5-14b-instruct-1m +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 1000000 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + use_template: response_format +pricing: + input: '0.001' + output: '0.003' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml b/ai-provider/model-runtime/model-providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml new file mode 100644 index 00000000..44968e54 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/tongyi/llm/qwen2.5-7b-instruct-1m.yaml @@ -0,0 +1,75 @@ +# for more details, please refer to https://help.aliyun.com/zh/model-studio/getting-started/models +model: qwen2.5-7b-instruct-1m +label: + en_US: qwen2.5-7b-instruct-1m +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 1000000 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 用于控制随机性和多样性的程度。具体来说，temperature值控制了生成文本时对每个候选词的概率分布进行平滑的程度。较高的temperature值会降低概率分布的峰值，使得更多的低概率词被选择，生成结果更加多样化；而较低的temperature值则会增强概率分布的峰值，使得高概率词更容易被选择，生成结果更加确定。 + en_US: Used to control the degree of randomness and diversity. Specifically, the temperature value controls the degree to which the probability distribution of each candidate word is smoothed when generating text. A higher temperature value will reduce the peak value of the probability distribution, allowing more low-probability words to be selected, and the generated results will be more diverse; while a lower temperature value will enhance the peak value of the probability distribution, making it easier for high-probability words to be selected. , the generated results are more certain. + - name: max_tokens + use_template: max_tokens + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 用于指定模型在生成内容时token的最大数量，它定义了生成的上限，但不保证每次都会生成到这个数量。 + en_US: It is used to specify the maximum number of tokens when the model generates content. It defines the upper limit of generation, but does not guarantee that this number will be generated every time. + - name: top_p + use_template: top_p + type: float + default: 0.8 + min: 0.1 + max: 0.9 + help: + zh_Hans: 生成过程中核采样方法概率阈值，例如，取值为0.8时，仅保留概率加起来大于等于0.8的最可能token的最小集合作为候选集。取值范围为（0,1.0)，取值越大，生成的随机性越高；取值越低，生成的确定性越高。 + en_US: The probability threshold of the kernel sampling method during the generation process. For example, when the value is 0.8, only the smallest set of the most likely tokens with a sum of probabilities greater than or equal to 0.8 is retained as the candidate set. The value range is (0,1.0). The larger the value, the higher the randomness generated; the lower the value, the higher the certainty generated. + - name: top_k + type: int + min: 0 + max: 99 + label: + zh_Hans: 取样数量 + en_US: Top k + help: + zh_Hans: 生成时，采样候选集的大小。例如，取值为50时，仅将单次生成中得分最高的50个token组成随机采样的候选集。取值越大，生成的随机性越高；取值越小，生成的确定性越高。 + en_US: The size of the sample candidate set when generated. For example, when the value is 50, only the 50 highest-scoring tokens in a single generation form a randomly sampled candidate set. The larger the value, the higher the randomness generated; the smaller the value, the higher the certainty generated. + - name: seed + required: false + type: int + default: 1234 + label: + zh_Hans: 随机种子 + en_US: Random seed + help: + zh_Hans: 生成时使用的随机数种子，用户控制模型生成内容的随机性。支持无符号64位整数，默认值为 1234。在使用seed时，模型将尽可能生成相同或相似的结果，但目前不保证每次生成的结果完全相同。 + en_US: The random number seed used when generating, the user controls the randomness of the content generated by the model. Supports unsigned 64-bit integers, default value is 1234. When using seed, the model will try its best to generate the same or similar results, but there is currently no guarantee that the results will be exactly the same every time. + - name: repetition_penalty + required: false + type: float + default: 1.1 + label: + zh_Hans: 重复惩罚 + en_US: Repetition penalty + help: + zh_Hans: 用于控制模型生成时的重复度。提高repetition_penalty时可以降低模型生成的重复度。1.0表示不做惩罚。 + en_US: Used to control the repeatability when generating models. Increasing repetition_penalty can reduce the duplication of model generation. 1.0 means no punishment. + - name: response_format + use_template: response_format +pricing: + input: '0.0005' + output: '0.001' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml new file mode 100644 index 00000000..37b9f30c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/anthropic.claude-3.5-sonnet-v2.yaml @@ -0,0 +1,55 @@ +model: claude-3-5-sonnet-v2@20241022 +label: + en_US: Claude 3.5 Sonnet v2 +model_type: llm +features: + - agent-thought + - vision +model_properties: + mode: chat + context_size: 200000 +parameter_rules: + - name: max_tokens + use_template: max_tokens + required: true + type: int + default: 8192 + min: 1 + max: 8192 + help: + zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。 + en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter. + - name: temperature + use_template: temperature + required: false + type: float + default: 1 + min: 0.0 + max: 1.0 + help: + zh_Hans: 生成内容的随机性。 + en_US: The amount of randomness injected into the response. + - name: top_p + required: false + type: float + default: 0.999 + min: 0.000 + max: 1.000 + help: + zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。 + en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both. + - name: top_k + required: false + type: int + default: 0 + min: 0 + # tip docs from aws has error, max value is 500 + max: 500 + help: + zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。 + en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses. +pricing: + input: '0.003' + output: '0.015' + unit: '0.001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-001.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-001.yaml new file mode 100644 index 00000000..bef7ca5e --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-001.yaml @@ -0,0 +1,41 @@ +model: gemini-2.0-flash-001 +label: + en_US: Gemini 2.0 Flash 001 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml new file mode 100644 index 00000000..bcd59623 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-exp.yaml @@ -0,0 +1,39 @@ +model: gemini-2.0-flash-exp +label: + en_US: Gemini 2.0 Flash Exp +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-lite-preview-02-05.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-lite-preview-02-05.yaml new file mode 100644 index 00000000..9c0a1e06 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-lite-preview-02-05.yaml @@ -0,0 +1,41 @@ +model: gemini-2.0-flash-lite-preview-02-05 +label: + en_US: Gemini 2.0 Flash Lite Preview 0205 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 1048576 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-01-21.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-01-21.yaml new file mode 100644 index 00000000..6e2fc767 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-01-21.yaml @@ -0,0 +1,39 @@ +model: gemini-2.0-flash-thinking-exp-01-21 +label: + en_US: Gemini 2.0 Flash Thinking Exp 0121 +model_type: llm +features: + - agent-thought + - vision + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-1219.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-1219.yaml new file mode 100644 index 00000000..dfcf8fd0 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-flash-thinking-exp-1219.yaml @@ -0,0 +1,39 @@ +model: gemini-2.0-flash-thinking-exp-1219 +label: + en_US: Gemini 2.0 Flash Thinking Exp 1219 +model_type: llm +features: + - agent-thought + - vision + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-pro-exp-02-05.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-pro-exp-02-05.yaml new file mode 100644 index 00000000..96926a17 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-2.0-pro-exp-02-05.yaml @@ -0,0 +1,37 @@ +model: gemini-2.0-pro-exp-02-05 +label: + en_US: Gemini 2.0 Pro Exp 0205 +model_type: llm +features: + - agent-thought + - document +model_properties: + mode: chat + context_size: 2000000 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + en_US: Top k + type: int + help: + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty + - name: max_output_tokens + use_template: max_tokens + required: true + default: 8192 + min: 1 + max: 8192 +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1114.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1114.yaml new file mode 100644 index 00000000..bd49b476 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1114.yaml @@ -0,0 +1,41 @@ +model: gemini-exp-1114 +label: + en_US: Gemini exp 1114 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1121.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1121.yaml new file mode 100644 index 00000000..8e3f218d --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1121.yaml @@ -0,0 +1,41 @@ +model: gemini-exp-1121 +label: + en_US: Gemini exp 1121 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 32767 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1206.yaml b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1206.yaml new file mode 100644 index 00000000..7a7c361c --- /dev/null +++ b/ai-provider/model-runtime/model-providers/vertex_ai/llm/gemini-exp-1206.yaml @@ -0,0 +1,41 @@ +model: gemini-exp-1206 +label: + en_US: Gemini exp 1206 +model_type: llm +features: + - agent-thought + - vision + - tool-call + - stream-tool-call + - document + - video + - audio +model_properties: + mode: chat + context_size: 2097152 +parameter_rules: + - name: temperature + use_template: temperature + - name: top_p + use_template: top_p + - name: top_k + label: + zh_Hans: 取样数量 + en_US: Top k + type: int + help: + zh_Hans: 仅从每个后续标记的前 K 个选项中采样。 + en_US: Only sample from the top K options for each subsequent token. + required: false + - name: max_output_tokens + use_template: max_tokens + default: 8192 + min: 1 + max: 8192 + - name: json_schema + use_template: json_schema +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: USD diff --git a/ai-provider/model-runtime/model-providers/wenxin/llm/ernie-4.0-turbo-128k.yaml b/ai-provider/model-runtime/model-providers/wenxin/llm/ernie-4.0-turbo-128k.yaml new file mode 100644 index 00000000..f8d56406 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/wenxin/llm/ernie-4.0-turbo-128k.yaml @@ -0,0 +1,40 @@ +model: ernie-4.0-turbo-128k +label: + en_US: Ernie-4.0-turbo-128K +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + min: 0.1 + max: 1.0 + default: 0.8 + - name: top_p + use_template: top_p + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 2 + max: 4096 + - name: presence_penalty + use_template: presence_penalty + default: 1.0 + min: 1.0 + max: 2.0 + - name: frequency_penalty + use_template: frequency_penalty + - name: response_format + use_template: response_format + - name: disable_search + label: + zh_Hans: 禁用搜索 + en_US: Disable Search + type: boolean + help: + zh_Hans: 禁用模型自行进行外部搜索。 + en_US: Disable the model to perform external search. + required: false diff --git a/ai-provider/model-runtime/model-providers/wenxin/llm/ernie-lite-pro-128k.yaml b/ai-provider/model-runtime/model-providers/wenxin/llm/ernie-lite-pro-128k.yaml new file mode 100644 index 00000000..4f5832c8 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/wenxin/llm/ernie-lite-pro-128k.yaml @@ -0,0 +1,42 @@ +model: ernie-lite-pro-128k +label: + en_US: Ernie-Lite-Pro-128K +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 128000 +parameter_rules: + - name: temperature + use_template: temperature + min: 0.1 + max: 1.0 + default: 0.8 + - name: top_p + use_template: top_p + - name: min_output_tokens + label: + en_US: "Min Output Tokens" + zh_Hans: "最小输出Token数" + use_template: max_tokens + min: 2 + max: 2048 + help: + zh_Hans: 指定模型最小输出token数 + en_US: Specifies the lower limit on the length of generated results. + - name: max_output_tokens + label: + en_US: "Max Output Tokens" + zh_Hans: "最大输出Token数" + use_template: max_tokens + min: 2 + max: 2048 + default: 2048 + help: + zh_Hans: 指定模型最大输出token数 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: presence_penalty + use_template: presence_penalty + - name: frequency_penalty + use_template: frequency_penalty diff --git a/ai-provider/model-runtime/model-providers/yi/llm/yi-lightning.yaml b/ai-provider/model-runtime/model-providers/yi/llm/yi-lightning.yaml new file mode 100644 index 00000000..fccf1b3a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/yi/llm/yi-lightning.yaml @@ -0,0 +1,43 @@ +model: yi-lightning +label: + zh_Hans: yi-lightning + en_US: yi-lightning +model_type: llm +features: + - agent-thought +model_properties: + mode: chat + context_size: 16384 +parameter_rules: + - name: temperature + use_template: temperature + type: float + default: 0.3 + min: 0.0 + max: 2.0 + help: + zh_Hans: 控制生成结果的多样性和随机性。数值越小，越严谨；数值越大，越发散。 + en_US: Control the diversity and randomness of generated results. The smaller the value, the more rigorous it is; the larger the value, the more divergent it is. + - name: max_tokens + use_template: max_tokens + type: int + default: 1024 + min: 1 + max: 4000 + help: + zh_Hans: 指定生成结果长度的上限。如果生成结果截断，可以调大该参数。 + en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter. + - name: top_p + use_template: top_p + type: float + default: 0.9 + min: 0.01 + max: 1.00 + help: + zh_Hans: 控制生成结果的随机性。数值越小，随机性越弱；数值越大，随机性越强。一般而言，top_p 和 temperature 两个参数选择一个进行调整即可。 + en_US: Control the randomness of generated results. The smaller the value, the weaker the randomness; the larger the value, the stronger the randomness. Generally speaking, you can adjust one of the two parameters top_p and temperature. +pricing: + input: '0.99' + output: '0.99' + unit: '0.000001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/zhipuai/llm/glm-4-air-0111.yaml b/ai-provider/model-runtime/model-providers/zhipuai/llm/glm-4-air-0111.yaml new file mode 100644 index 00000000..8d301fc6 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/zhipuai/llm/glm-4-air-0111.yaml @@ -0,0 +1,66 @@ +model: glm-4-air-0111 +label: + en_US: glm-4-air-0111 +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: do_sample + label: + zh_Hans: 采样策略 + en_US: Sampling strategy + type: boolean + help: + zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 + en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. + default: true + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 4095 + - name: web_search + type: boolean + label: + zh_Hans: 联网搜索 + en_US: Web Search + default: false + help: + zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 + en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.0005' + output: '0.0005' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/zhipuai/llm/glm-4-flashx.yaml b/ai-provider/model-runtime/model-providers/zhipuai/llm/glm-4-flashx.yaml new file mode 100644 index 00000000..abd95a3a --- /dev/null +++ b/ai-provider/model-runtime/model-providers/zhipuai/llm/glm-4-flashx.yaml @@ -0,0 +1,66 @@ +model: glm-4-flashx +label: + en_US: glm-4-flashx +model_type: llm +features: + - multi-tool-call + - agent-thought + - stream-tool-call +model_properties: + mode: chat + context_size: 131072 +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.7 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: do_sample + label: + zh_Hans: 采样策略 + en_US: Sampling strategy + type: boolean + help: + zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 + en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. + default: true + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 4095 + - name: web_search + type: boolean + label: + zh_Hans: 联网搜索 + en_US: Web Search + default: false + help: + zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 + en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0' + output: '0' + unit: '0.001' + currency: RMB diff --git a/ai-provider/model-runtime/model-providers/zhipuai/llm/glm_4v_flash.yaml b/ai-provider/model-runtime/model-providers/zhipuai/llm/glm_4v_flash.yaml new file mode 100644 index 00000000..9e3a7f20 --- /dev/null +++ b/ai-provider/model-runtime/model-providers/zhipuai/llm/glm_4v_flash.yaml @@ -0,0 +1,64 @@ +model: glm-4v-flash +label: + en_US: glm-4v-flash +model_type: llm +model_properties: + mode: chat + context_size: 2048 +features: + - vision +parameter_rules: + - name: temperature + use_template: temperature + default: 0.95 + min: 0.0 + max: 1.0 + help: + zh_Hans: 采样温度，控制输出的随机性，必须为正数取值范围是：(0.0,1.0]，不能等于 0,默认值为 0.95 值越大，会使输出更随机，更具创造性；值越小，输出会更加稳定或确定建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Sampling temperature, controls the randomness of the output, must be a positive number. The value range is (0.0,1.0], which cannot be equal to 0. The default value is 0.95. The larger the value, the more random and creative the output will be; the smaller the value, The output will be more stable or certain. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: top_p + use_template: top_p + default: 0.6 + help: + zh_Hans: 用温度取样的另一种方法，称为核取样取值范围是：(0.0, 1.0) 开区间，不能等于 0 或 1，默认值为 0.7 模型考虑具有 top_p 概率质量tokens的结果例如：0.1 意味着模型解码器只考虑从前 10% 的概率的候选集中取 tokens 建议您根据应用场景调整 top_p 或 temperature 参数，但不要同时调整两个参数。 + en_US: Another method of temperature sampling is called kernel sampling. The value range is (0.0, 1.0) open interval, which cannot be equal to 0 or 1. The default value is 0.7. The model considers the results with top_p probability mass tokens. For example 0.1 means The model decoder only considers tokens from the candidate set with the top 10% probability. It is recommended that you adjust the top_p or temperature parameters according to the application scenario, but do not adjust both parameters at the same time. + - name: do_sample + label: + zh_Hans: 采样策略 + en_US: Sampling strategy + type: boolean + help: + zh_Hans: do_sample 为 true 时启用采样策略，do_sample 为 false 时采样策略 temperature、top_p 将不生效。默认值为 true。 + en_US: When `do_sample` is set to true, the sampling strategy is enabled. When `do_sample` is set to false, the sampling strategies such as `temperature` and `top_p` will not take effect. The default value is true. + default: true + - name: max_tokens + use_template: max_tokens + default: 1024 + min: 1 + max: 1024 + - name: web_search + type: boolean + label: + zh_Hans: 联网搜索 + en_US: Web Search + default: false + help: + zh_Hans: 模型内置了互联网搜索服务，该参数控制模型在生成文本时是否参考使用互联网搜索结果。启用互联网搜索，模型会将搜索结果作为文本生成过程中的参考信息，但模型会基于其内部逻辑“自行判断”是否使用互联网搜索结果。 + en_US: The model has a built-in Internet search service. This parameter controls whether the model refers to Internet search results when generating text. When Internet search is enabled, the model will use the search results as reference information in the text generation process, but the model will "judge" whether to use Internet search results based on its internal logic. + - name: response_format + label: + zh_Hans: 回复格式 + en_US: Response Format + type: string + help: + zh_Hans: 指定模型必须输出的格式 + en_US: specifying the format that the model must output + required: false + options: + - text + - json_object +pricing: + input: '0.00' + output: '0.00' + unit: '0.000001' + currency: RMB diff --git a/controller/ai-api/iml.go b/controller/ai-api/iml.go index d66a77a3..05e9baca 100644 --- a/controller/ai-api/iml.go +++ b/controller/ai-api/iml.go @@ -48,10 +48,14 @@ func (i *imlAPIController) Create(ctx *gin.Context, serviceId string, input *ai_ } } if input.AiModel != nil { + provider := "ollama" + if input.AiModel.Type != "local" { + provider = input.AiModel.Provider + } plugins["ai_formatter"] = api.PluginSetting{ Config: plugin_model.ConfigType{ "model": input.AiModel.Id, - "provider": input.AiModel.Provider, + "provider": provider, "config": input.AiModel.Config, }, } @@ -102,10 +106,14 @@ func (i *imlAPIController) Edit(ctx *gin.Context, serviceId string, apiId string } //var upstream *string if input.AiModel != nil { + provider := "ollama" + if input.AiModel.Type != "local" { + provider = input.AiModel.Provider + } proxy.Plugins["ai_formatter"] = api.PluginSetting{ Config: plugin_model.ConfigType{ "model": input.AiModel.Id, - "provider": input.AiModel.Provider, + "provider": provider, "config": input.AiModel.Config, }, } diff --git a/controller/ai-balance/controller.go b/controller/ai-balance/controller.go new file mode 100644 index 00000000..96969176 --- /dev/null +++ b/controller/ai-balance/controller.go @@ -0,0 +1,22 @@ +package ai_balance + +import ( + "reflect" + + ai_balance_dto "github.com/APIParkLab/APIPark/module/ai-balance/dto" + "github.com/eolinker/go-common/autowire" + "github.com/gin-gonic/gin" +) + +type IBalanceController interface { + List(ctx *gin.Context, keyword string) ([]*ai_balance_dto.Item, error) + Sort(ctx *gin.Context, input *ai_balance_dto.Sort) error + Create(ctx *gin.Context, input *ai_balance_dto.Create) error + Delete(ctx *gin.Context, id string) error +} + +func init() { + autowire.Auto[IBalanceController](func() reflect.Value { + return reflect.ValueOf(new(imlBalanceController)) + }) +} diff --git a/controller/ai-balance/iml.go b/controller/ai-balance/iml.go new file mode 100644 index 00000000..f21585d3 --- /dev/null +++ b/controller/ai-balance/iml.go @@ -0,0 +1,29 @@ +package ai_balance + +import ( + ai_balance "github.com/APIParkLab/APIPark/module/ai-balance" + ai_balance_dto "github.com/APIParkLab/APIPark/module/ai-balance/dto" + "github.com/gin-gonic/gin" +) + +var _ IBalanceController = (*imlBalanceController)(nil) + +type imlBalanceController struct { + module ai_balance.IBalanceModule `autowired:""` +} + +func (i *imlBalanceController) List(ctx *gin.Context, keyword string) ([]*ai_balance_dto.Item, error) { + return i.module.List(ctx, keyword) +} + +func (i *imlBalanceController) Sort(ctx *gin.Context, input *ai_balance_dto.Sort) error { + return i.module.Sort(ctx, input) +} + +func (i *imlBalanceController) Create(ctx *gin.Context, input *ai_balance_dto.Create) error { + return i.module.Create(ctx, input) +} + +func (i *imlBalanceController) Delete(ctx *gin.Context, id string) error { + return i.module.Delete(ctx, id) +} diff --git a/controller/ai-local/controller.go b/controller/ai-local/controller.go new file mode 100644 index 00000000..82139df5 --- /dev/null +++ b/controller/ai-local/controller.go @@ -0,0 +1,29 @@ +package ai_local + +import ( + "reflect" + + ai_local_dto "github.com/APIParkLab/APIPark/module/ai-local/dto" + "github.com/eolinker/go-common/autowire" + "github.com/gin-gonic/gin" +) + +type ILocalModelController interface { + Search(ctx *gin.Context, keyword string) ([]*ai_local_dto.LocalModelItem, error) + ListCanInstall(ctx *gin.Context, keyword string) ([]*ai_local_dto.LocalModelPackageItem, error) + Deploy(ctx *gin.Context) + DeployStart(ctx *gin.Context, input *ai_local_dto.DeployInput) error + CancelDeploy(ctx *gin.Context, input *ai_local_dto.CancelDeploy) error + RemoveModel(ctx *gin.Context, model string) error + Update(ctx *gin.Context, model string, input *ai_local_dto.Update) error + State(ctx *gin.Context, model string) (*ai_local_dto.DeployState, *ai_local_dto.ModelInfo, error) + SimpleList(ctx *gin.Context) ([]*ai_local_dto.SimpleItem, error) + OllamaConfig(ctx *gin.Context) (*ai_local_dto.OllamaConfig, error) + OllamaConfigUpdate(ctx *gin.Context, input *ai_local_dto.OllamaConfig) error +} + +func init() { + autowire.Auto[ILocalModelController](func() reflect.Value { + return reflect.ValueOf(new(imlLocalModelController)) + }) +} diff --git a/controller/ai-local/iml.go b/controller/ai-local/iml.go new file mode 100644 index 00000000..e436609a --- /dev/null +++ b/controller/ai-local/iml.go @@ -0,0 +1,377 @@ +package ai_local + +import ( + "context" + "encoding/json" + "fmt" + "io" + "math" + "net/http" + "net/url" + "strings" + "time" + + ai_balance "github.com/APIParkLab/APIPark/module/ai-balance" + + "github.com/APIParkLab/APIPark/module/system" + system_dto "github.com/APIParkLab/APIPark/module/system/dto" + ollama_api "github.com/ollama/ollama/api" + + "github.com/APIParkLab/APIPark/module/subscribe" + subscribe_dto "github.com/APIParkLab/APIPark/module/subscribe/dto" + + "github.com/APIParkLab/APIPark/model/plugin_model" + "github.com/APIParkLab/APIPark/service/api" + + ai_api_dto "github.com/APIParkLab/APIPark/module/ai-api/dto" + router_dto "github.com/APIParkLab/APIPark/module/router/dto" + + "github.com/APIParkLab/APIPark/module/router" + + ai_api "github.com/APIParkLab/APIPark/module/ai-api" + + "github.com/APIParkLab/APIPark/module/catalogue" + + "github.com/APIParkLab/APIPark/module/service" + + "github.com/eolinker/go-common/store" + + service_dto "github.com/APIParkLab/APIPark/module/service/dto" + + ai_provider_local "github.com/APIParkLab/APIPark/ai-provider/local" + + "github.com/eolinker/eosc/log" + + ai_local "github.com/APIParkLab/APIPark/module/ai-local" + ai_local_dto "github.com/APIParkLab/APIPark/module/ai-local/dto" + "github.com/gin-gonic/gin" + "github.com/google/uuid" +) + +var _ ILocalModelController = &imlLocalModelController{} + +type imlLocalModelController struct { + module ai_local.ILocalModelModule `autowired:""` + serviceModule service.IServiceModule `autowired:""` + catalogueModule catalogue.ICatalogueModule `autowired:""` + aiAPIModule ai_api.IAPIModule `autowired:""` + aiBalanceModule ai_balance.IBalanceModule `autowired:""` + appModule service.IAppModule `autowired:""` + routerModule router.IRouterModule `autowired:""` + subscribeModule subscribe.ISubscribeModule `autowired:""` + docModule service.IServiceDocModule `autowired:""` + settingModule system.ISettingModule `autowired:""` + transaction store.ITransaction `autowired:""` +} + +func (i *imlLocalModelController) OllamaConfig(ctx *gin.Context) (*ai_local_dto.OllamaConfig, error) { + cfg := i.settingModule.Get(ctx) + return &ai_local_dto.OllamaConfig{ + Address: cfg.OllamaAddress, + }, nil +} + +var ( + client = &http.Client{ + Timeout: 2 * time.Second, + } +) + +func (i *imlLocalModelController) OllamaConfigUpdate(ctx *gin.Context, input *ai_local_dto.OllamaConfig) error { + u, err := url.Parse(input.Address) + if err != nil { + return nil + } + ollamaClient := ollama_api.NewClient(u, client) + _, err = ollamaClient.Version(ctx) + if err != nil { + return err + } + return i.transaction.Transaction(ctx, func(ctx context.Context) error { + err = i.module.SyncLocalModels(ctx, input.Address) + if err != nil { + return err + } + err = i.aiBalanceModule.SyncLocalBalances(ctx, input.Address) + if err != nil { + return err + } + + return i.settingModule.Set(ctx, &system_dto.InputSetting{ + OllamaAddress: &input.Address, + }) + }) +} + +func (i *imlLocalModelController) SimpleList(ctx *gin.Context) ([]*ai_local_dto.SimpleItem, error) { + return i.module.SimpleList(ctx) +} + +func (i *imlLocalModelController) State(ctx *gin.Context, model string) (*ai_local_dto.DeployState, *ai_local_dto.ModelInfo, error) { + return i.module.ModelState(ctx, model) +} + +// 自动选择合适的单位 +func humanReadableSize(size int64) string { + const ( + KB = 1000 + MB = 1000 * KB + GB = 1000 * MB + ) + + switch { + case size >= GB: + return fmt.Sprintf("%.1f GB", math.Round(float64(size)/float64(GB)*10)/10) + case size >= MB: + return fmt.Sprintf("%.1f MB", math.Round(float64(size)/float64(MB)*10)/10) + case size >= KB: + return fmt.Sprintf("%.1f KB", math.Round(float64(size)/float64(KB)*10)/10) + default: + return fmt.Sprintf("%d B", size) + } +} +func (i *imlLocalModelController) Deploy(ctx *gin.Context) { + + var input ai_local_dto.DeployInput + err := ctx.ShouldBindBodyWithJSON(&input) + if err != nil { + ctx.JSON(200, gin.H{ + "code": -1, "msg": err.Error(), "success": "fail", + }) + return + } + if input.Model == "" { + ctx.JSON(200, gin.H{ + "code": -1, "msg": "model is required", "success": "fail", + }) + return + } + + id := uuid.NewString() + p, err := i.module.Deploy(ctx, input.Model, id) + if err != nil { + ctx.JSON(200, gin.H{ + "code": -1, "msg": err.Error(), "success": "fail", + }) + return + } + done := make(chan struct{}) + // 启动一个 goroutine 监听客户端关闭连接 + go func() { + select { + case <-ctx.Writer.CloseNotify(): + + case <-done: + + } + ai_provider_local.CancelPipeline(input.Model, id) + }() + var complete int64 + var total int64 + ctx.Header("Content-Type", "text/plain; charset=utf-8") + ctx.Header("text-encoding", "chunked") + ctx.Stream(func(w io.Writer) bool { + msg, ok := <-p.Message() + if !ok { + return false + } + state := "download" + switch msg.Status { + case "verifying sha256 digest": + state = "deploy" + case "writing manifest": + state = "initializing" + case "removing any unused layers": + state = "initializing" + case "success": + state = "finish" + case "error": + state = "error" + } + if msg.Completed > complete { + complete = msg.Completed + } + if msg.Total > total { + total = msg.Total + } + result := map[string]interface{}{ + "code": 0, + "msg": "", + "data": map[string]interface{}{ + "message": msg.Msg, + "info": map[string]interface{}{ + "current": humanReadableSize(complete), + "total": humanReadableSize(total), + }, + "state": state, + }, + } + data, _ := json.Marshal(result) + + _, err = w.Write(data) + if err != nil { + log.Error("write message error: %v", err) + return false + } + _, err = w.Write([]byte("\n")) + if err != nil { + log.Error("write message error: %v", err) + return false + } + + return true + }) + close(done) +} + +func (i *imlLocalModelController) DeployStart(ctx *gin.Context, input *ai_local_dto.DeployInput) error { + fn, err := i.initAILocalService(ctx, input.Model, input.Team) + if err != nil { + return err + } + id := uuid.NewString() + _, err = i.module.Deploy(ctx, input.Model, id, fn) + if err != nil { + return err + } + ai_provider_local.CancelPipeline(input.Model, id) + return nil +} + +func (i *imlLocalModelController) initAILocalService(ctx context.Context, model string, teamID string) (func() error, error) { + catalogueInfo, err := i.catalogueModule.DefaultCatalogue(ctx) + if err != nil { + return nil, err + } + serviceId := uuid.NewString() + prefix := fmt.Sprintf("/%s", serviceId[:8]) + providerId := "ollama" + err = i.transaction.Transaction(ctx, func(ctx context.Context) error { + _, err = i.serviceModule.Create(ctx, teamID, &service_dto.CreateService{ + Id: serviceId, + Name: model, + Prefix: prefix, + Description: "Auto generated service for AI model " + model, + ServiceType: "public", + State: "deploying", + Catalogue: catalogueInfo.Id, + ApprovalType: "auto", + Kind: "ai", + Provider: &providerId, + Model: &model, + }) + if err != nil { + return err + } + return i.module.SaveCache(ctx, model, serviceId) + }) + + return func() error { + path := fmt.Sprintf("/%s/chat", strings.Trim(prefix, "/")) + timeout := 300000 + retry := 0 + aiPrompt := &ai_api_dto.AiPrompt{ + Variables: []*ai_api_dto.AiPromptVariable{}, + Prompt: "", + } + aiModel := &ai_api_dto.AiModel{ + Id: model, + Config: ai_provider_local.OllamaConfig, + Provider: providerId, + Type: "local", + } + name := "Demo AI API" + description := "This is a demo that shows you how to use a Chat API." + apiId := uuid.NewString() + err = i.aiAPIModule.Create( + ctx, + serviceId, + &ai_api_dto.CreateAPI{ + Id: apiId, + Name: name, + Path: path, + Description: description, + Disable: false, + AiPrompt: aiPrompt, + AiModel: aiModel, + Timeout: timeout, + Retry: retry, + }, + ) + if err != nil { + return err + } + plugins := make(map[string]api.PluginSetting) + plugins["ai_prompt"] = api.PluginSetting{ + Config: plugin_model.ConfigType{ + "prompt": aiPrompt.Prompt, + "variables": aiPrompt.Variables, + }, + } + plugins["ai_formatter"] = api.PluginSetting{ + Config: plugin_model.ConfigType{ + "model": aiModel.Id, + "provider": providerId, + "config": aiModel.Config, + }, + } + _, err = i.routerModule.Create(ctx, serviceId, &router_dto.Create{ + Id: apiId, + Name: name, + Path: path, + Methods: []string{ + http.MethodPost, + }, + Description: description, + Protocols: []string{"http", "https"}, + MatchRules: nil, + Proxy: &router_dto.InputProxy{ + Path: path, + Timeout: timeout, + Retry: retry, + Plugins: plugins, + }, + Disable: false, + }) + if err != nil { + return err + } + apps, err := i.appModule.Search(ctx, teamID, "") + if err != nil { + return err + } + for _, app := range apps { + i.subscribeModule.AddSubscriber(ctx, serviceId, &subscribe_dto.AddSubscriber{ + Application: app.Id, + }) + } + return i.docModule.SaveServiceDoc(ctx, serviceId, &service_dto.SaveServiceDoc{ + Doc: "", + }) + }, err +} + +func (i *imlLocalModelController) Search(ctx *gin.Context, keyword string) ([]*ai_local_dto.LocalModelItem, error) { + return i.module.Search(ctx, keyword) +} + +func (i *imlLocalModelController) ListCanInstall(ctx *gin.Context, keyword string) ([]*ai_local_dto.LocalModelPackageItem, error) { + return i.module.ListCanInstall(ctx, keyword) +} + +func (i *imlLocalModelController) CancelDeploy(ctx *gin.Context, input *ai_local_dto.CancelDeploy) error { + return i.module.CancelDeploy(ctx, input.Model) +} + +func (i *imlLocalModelController) RemoveModel(ctx *gin.Context, model string) error { + return i.module.RemoveModel(ctx, model) +} + +func (i *imlLocalModelController) Update(ctx *gin.Context, model string, input *ai_local_dto.Update) error { + switch input.Disable { + case true: + return i.module.Disable(ctx, model) + default: + return i.module.Enable(ctx, model) + } +} diff --git a/controller/ai/controller.go b/controller/ai/controller.go index 581425d9..e4b2a5a5 100644 --- a/controller/ai/controller.go +++ b/controller/ai/controller.go @@ -9,10 +9,10 @@ import ( ) type IProviderController interface { - ConfiguredProviders(ctx *gin.Context) ([]*ai_dto.ConfiguredProviderItem, *ai_dto.BackupProvider, error) + ConfiguredProviders(ctx *gin.Context, keyword string) ([]*ai_dto.ConfiguredProviderItem, error) UnConfiguredProviders(ctx *gin.Context) ([]*ai_dto.ProviderItem, error) SimpleProviders(ctx *gin.Context) ([]*ai_dto.SimpleProviderItem, error) - SimpleConfiguredProviders(ctx *gin.Context) ([]*ai_dto.SimpleProviderItem, *ai_dto.BackupProvider, error) + SimpleConfiguredProviders(ctx *gin.Context, all string) ([]*ai_dto.SimpleProviderItem, *ai_dto.BackupProvider, error) Provider(ctx *gin.Context, id string) (*ai_dto.Provider, error) SimpleProvider(ctx *gin.Context, id string) (*ai_dto.SimpleProvider, error) LLMs(ctx *gin.Context, driver string) ([]*ai_dto.LLMItem, *ai_dto.ProviderItem, error) @@ -20,7 +20,8 @@ type IProviderController interface { Disable(ctx *gin.Context, id string) error UpdateProviderConfig(ctx *gin.Context, id string, input *ai_dto.UpdateConfig) error UpdateProviderDefaultLLM(ctx *gin.Context, id string, input *ai_dto.UpdateLLM) error - Sort(ctx *gin.Context, input *ai_dto.Sort) error + Delete(ctx *gin.Context, id string) error + //Sort(ctx *gin.Context, input *ai_dto.Sort) error } type IStatisticController interface { diff --git a/controller/ai/iml.go b/controller/ai/iml.go index 78b51087..c7eee3b9 100644 --- a/controller/ai/iml.go +++ b/controller/ai/iml.go @@ -17,12 +17,16 @@ type imlProviderController struct { module ai.IProviderModule `autowired:""` } -func (i *imlProviderController) Sort(ctx *gin.Context, input *ai_dto.Sort) error { - return i.module.Sort(ctx, input) +func (i *imlProviderController) Delete(ctx *gin.Context, id string) error { + return i.module.Delete(ctx, id) } -func (i *imlProviderController) ConfiguredProviders(ctx *gin.Context) ([]*ai_dto.ConfiguredProviderItem, *ai_dto.BackupProvider, error) { - return i.module.ConfiguredProviders(ctx) +//func (i *imlProviderController) Sort(ctx *gin.Context, input *ai_dto.Sort) error { +// return i.module.Sort(ctx, input) +//} + +func (i *imlProviderController) ConfiguredProviders(ctx *gin.Context, keyword string) ([]*ai_dto.ConfiguredProviderItem, error) { + return i.module.ConfiguredProviders(ctx, keyword) } func (i *imlProviderController) UnConfiguredProviders(ctx *gin.Context) ([]*ai_dto.ProviderItem, error) { @@ -33,8 +37,11 @@ func (i *imlProviderController) SimpleProviders(ctx *gin.Context) ([]*ai_dto.Sim return i.module.SimpleProviders(ctx) } -func (i *imlProviderController) SimpleConfiguredProviders(ctx *gin.Context) ([]*ai_dto.SimpleProviderItem, *ai_dto.BackupProvider, error) { - return i.module.SimpleConfiguredProviders(ctx) +func (i *imlProviderController) SimpleConfiguredProviders(ctx *gin.Context, all string) ([]*ai_dto.SimpleProviderItem, *ai_dto.BackupProvider, error) { + if all == "true" { + return i.module.SimpleConfiguredProviders(ctx, true) + } + return i.module.SimpleConfiguredProviders(ctx, false) } func (i *imlProviderController) Provider(ctx *gin.Context, id string) (*ai_dto.Provider, error) { diff --git a/controller/service/iml.go b/controller/service/iml.go index f75d66bf..e2f0bf32 100644 --- a/controller/service/iml.go +++ b/controller/service/iml.go @@ -3,10 +3,27 @@ package service import ( "context" "fmt" + "io" "net/http" "strings" "time" + ai_provider_local "github.com/APIParkLab/APIPark/ai-provider/local" + + subscribe_dto "github.com/APIParkLab/APIPark/module/subscribe/dto" + + "github.com/APIParkLab/APIPark/module/subscribe" + + ai_local "github.com/APIParkLab/APIPark/module/ai-local" + + ai_dto "github.com/APIParkLab/APIPark/module/ai/dto" + + api_doc_dto "github.com/APIParkLab/APIPark/module/api-doc/dto" + + "github.com/APIParkLab/APIPark/module/catalogue" + + "github.com/APIParkLab/APIPark/module/team" + "github.com/eolinker/go-common/pm3" "github.com/APIParkLab/APIPark/module/system" @@ -15,8 +32,6 @@ import ( api_doc "github.com/APIParkLab/APIPark/module/api-doc" - upstream_dto "github.com/APIParkLab/APIPark/module/upstream/dto" - "github.com/eolinker/eosc/log" application_authorization "github.com/APIParkLab/APIPark/module/application-authorization" @@ -40,6 +55,10 @@ import ( "github.com/google/uuid" ) +//var ( +// ollamaConfig = "{\n \"mirostat\": 0,\n \"mirostat_eta\": 0.1,\n \"mirostat_tau\": 5.0,\n \"num_ctx\": 4096,\n \"repeat_last_n\":64,\n \"repeat_penalty\": 1.1,\n \"temperature\": 0.7,\n \"seed\": 42,\n \"num_predict\": 42,\n \"top_k\": 40,\n \"top_p\": 0.9,\n \"min_p\": 0.5\n}\n" +//) + var ( _ IServiceController = (*imlServiceController)(nil) @@ -47,15 +66,138 @@ var ( ) type imlServiceController struct { - module service.IServiceModule `autowired:""` - docModule service.IServiceDocModule `autowired:""` - aiAPIModule ai_api.IAPIModule `autowired:""` - routerModule router.IRouterModule `autowired:""` - apiDocModule api_doc.IAPIDocModule `autowired:""` - providerModule ai.IProviderModule `autowired:""` - upstreamModule upstream.IUpstreamModule `autowired:""` - settingModule system.ISettingModule `autowired:""` - transaction store.ITransaction `autowired:""` + module service.IServiceModule `autowired:""` + docModule service.IServiceDocModule `autowired:""` + subscribeModule subscribe.ISubscribeModule `autowired:""` + aiAPIModule ai_api.IAPIModule `autowired:""` + routerModule router.IRouterModule `autowired:""` + apiDocModule api_doc.IAPIDocModule `autowired:""` + providerModule ai.IProviderModule `autowired:""` + aiLocalModel ai_local.ILocalModelModule `autowired:""` + appModule service.IAppModule `autowired:""` + upstreamModule upstream.IUpstreamModule `autowired:""` + settingModule system.ISettingModule `autowired:""` + teamModule team.ITeamModule `autowired:""` + catalogueModule catalogue.ICatalogueModule `autowired:""` + transaction store.ITransaction `autowired:""` +} + +func (i *imlServiceController) QuickCreateAIService(ctx *gin.Context, input *service_dto.QuickCreateAIService) error { + return i.transaction.Transaction(ctx, func(txCtx context.Context) error { + enable := true + err := i.providerModule.UpdateProviderConfig(ctx, input.Provider, &ai_dto.UpdateConfig{ + Config: input.Config, + Enable: &enable, + }) + if err != nil { + return err + } + p, err := i.providerModule.Provider(ctx, input.Provider) + if err != nil { + return err + } + id := uuid.NewString() + prefix := fmt.Sprintf("/%s", id[:8]) + catalogueInfo, err := i.catalogueModule.DefaultCatalogue(ctx) + if err != nil { + return err + } + _, err = i.createAIService(ctx, input.Team, &service_dto.CreateService{ + Id: uuid.NewString(), + Name: input.Provider + " AI Service", + Prefix: prefix, + Description: "Quick create by AI provider", + ServiceType: "public", + State: "normal", + Catalogue: catalogueInfo.Id, + ApprovalType: "auto", + Provider: &input.Provider, + Model: &p.DefaultLLM, + Kind: "ai", + }) + return err + }) +} + +func (i *imlServiceController) QuickCreateRestfulService(ctx *gin.Context) error { + fileHeader, err := ctx.FormFile("file") + if err != nil { + return err + } + file, err := fileHeader.Open() + if err != nil { + return err + } + content, err := io.ReadAll(file) + if err != nil { + return err + } + typ := ctx.PostForm("type") + switch typ { + case "swagger", "": + default: + return fmt.Errorf("type %s not support", typ) + } + + return i.transaction.Transaction(ctx, func(txCtx context.Context) error { + teamId := ctx.PostForm("team") + id := uuid.NewString() + prefix := fmt.Sprintf("/%s", id[:8]) + catalogueInfo, err := i.catalogueModule.DefaultCatalogue(ctx) + if err != nil { + return err + } + s, err := i.module.Create(ctx, teamId, &service_dto.CreateService{ + Id: uuid.NewString(), + Name: "Restful Service By Swagger", + Prefix: prefix, + Description: "Auto create by upload swagger", + ServiceType: "public", + State: "normal", + Catalogue: catalogueInfo.Id, + ApprovalType: "auto", + Kind: "rest", + }) + if err != nil { + return err + } + _, err = i.apiDocModule.UpdateDoc(ctx, s.Id, &api_doc_dto.UpdateDoc{ + Id: s.Id, + Content: string(content), + }) + if err != nil { + return err + } + path := prefix + "/" + _, err = i.routerModule.Create(ctx, s.Id, &router_dto.Create{ + Id: uuid.NewString(), + Name: "", + Path: path + "*", + Methods: []string{http.MethodGet, http.MethodPost, http.MethodPut, http.MethodDelete, http.MethodPatch, http.MethodOptions}, + Description: "auto create by create service", + Protocols: []string{"http", "https"}, + Proxy: &router_dto.InputProxy{ + Path: path, + Timeout: 30000, + Retry: 0, + }, + Disable: false, + }) + if err != nil { + return err + } + apps, err := i.appModule.Search(ctx, teamId, "") + if err != nil { + return err + } + for _, app := range apps { + i.subscribeModule.AddSubscriber(ctx, id, &subscribe_dto.AddSubscriber{ + Application: app.Id, + }) + } + + return nil + }) } var ( @@ -154,25 +296,18 @@ func (i *imlServiceController) editAIService(ctx *gin.Context, id string, input if input.Provider == nil { return nil, fmt.Errorf("provider is required") } - p, has := model_runtime.GetProvider(*input.Provider) - if !has { - return nil, fmt.Errorf("provider not found") - } - info, err := i.module.Get(ctx, id) - if err != nil { - - } - err = i.transaction.Transaction(ctx, func(txCtx context.Context) error { - info, err = i.module.Edit(ctx, id, input) - if err != nil { - return err + if *input.Provider != "ollama" { + _, has := model_runtime.GetProvider(*input.Provider) + if !has { + return nil, fmt.Errorf("provider not found") } - _, err = i.upstreamModule.Save(ctx, id, newAIUpstream(id, *input.Provider, p.URI())) - return err - }) + } + + info, err := i.module.Edit(ctx, id, input) if err != nil { return nil, err } + //_, err = i.upstreamModule.Save(ctx, id, newAIUpstream(id, *input.Provider, p.URI())) return info, nil } @@ -192,56 +327,61 @@ func (i *imlServiceController) createAIService(ctx *gin.Context, teamID string, input.Prefix = input.Id[:8] } } - pv, err := i.providerModule.Provider(ctx, *input.Provider) - if err != nil { - return nil, err - } - p, has := model_runtime.GetProvider(*input.Provider) - if !has { - return nil, fmt.Errorf("provider not found") - } - m, has := p.GetModel(pv.DefaultLLM) - if !has { - return nil, fmt.Errorf("model %s not found", pv.DefaultLLM) + modelId := "" + modelCfg := "" + modelType := "online" + if *input.Provider == "ollama" { + modelType = "local" + list, err := i.aiLocalModel.SimpleList(ctx) + if err != nil { + return nil, err + } + if len(list) == 0 { + return nil, fmt.Errorf("no local model") + } + modelId = list[0].Id + modelCfg = ai_provider_local.OllamaConfig + } else { + pv, err := i.providerModule.Provider(ctx, *input.Provider) + if err != nil { + return nil, err + } + p, has := model_runtime.GetProvider(*input.Provider) + if !has { + return nil, fmt.Errorf("provider not found") + } + m, has := p.GetModel(pv.DefaultLLM) + if !has { + return nil, fmt.Errorf("model %s not found", pv.DefaultLLM) + } + modelId = m.ID() + modelCfg = m.DefaultConfig() + } var info *service_dto.Service - err = i.transaction.Transaction(ctx, func(txCtx context.Context) error { + err := i.transaction.Transaction(ctx, func(txCtx context.Context) error { var err error info, err = i.module.Create(ctx, teamID, input) if err != nil { return err } - path := fmt.Sprintf("/%s/demo_translation_api", strings.Trim(input.Prefix, "/")) + prefix := strings.Replace(input.Prefix, ":", "_", -1) + path := fmt.Sprintf("/%s/chat", strings.Trim(prefix, "/")) timeout := 300000 retry := 0 aiPrompt := &ai_api_dto.AiPrompt{ - Variables: []*ai_api_dto.AiPromptVariable{ - { - Key: "source_lang", - Description: "", - Require: true, - }, - { - Key: "target_lang", - Description: "", - Require: true, - }, - { - Key: "text", - Description: "", - Require: true, - }, - }, - Prompt: "You need to translate {{source_lang}} into {{target_lang}}, and the following is the content that needs to be translated.\n---\n{{text}}", + Variables: []*ai_api_dto.AiPromptVariable{}, + Prompt: "", } aiModel := &ai_api_dto.AiModel{ - Id: m.ID(), - Config: m.DefaultConfig(), + Id: modelId, + Config: modelCfg, Provider: *input.Provider, + Type: modelType, } - name := "Demo Translation API" - description := "A demo that shows you how to use a prompt to create a Translation API." + name := "Demo AI API " + description := "This is a demo that shows you how to use a Chat API." apiId := uuid.New().String() err = i.aiAPIModule.Create( ctx, @@ -297,9 +437,18 @@ func (i *imlServiceController) createAIService(ctx *gin.Context, teamID string, if err != nil { return err } + apps, err := i.appModule.Search(ctx, info.Team.Id, "") + if err != nil { + return err + } + for _, app := range apps { + i.subscribeModule.AddSubscriber(ctx, info.Id, &subscribe_dto.AddSubscriber{ + Application: app.Id, + }) + } return i.docModule.SaveServiceDoc(ctx, info.Id, &service_dto.SaveServiceDoc{ - Doc: "The Translation API allows developers to translate text from one language to another. It supports multiple languages and enables easy integration of high-quality translation features into applications. With simple API requests, you can quickly translate content into different target languages.", + Doc: "", }) }) @@ -328,13 +477,13 @@ func (i *imlServiceController) Create(ctx *gin.Context, teamID string, input *se } var err error var info *service_dto.Service - err = i.transaction.Transaction(ctx, func(txCtx context.Context) error { - info, err = i.module.Create(txCtx, teamID, input) + err = i.transaction.Transaction(ctx, func(ctx context.Context) error { + info, err = i.module.Create(ctx, teamID, input) if err != nil { return err } path := fmt.Sprintf("/%s/", strings.Trim(input.Prefix, "/")) - _, err = i.routerModule.Create(txCtx, info.Id, &router_dto.Create{ + _, err = i.routerModule.Create(ctx, info.Id, &router_dto.Create{ Id: uuid.New().String(), Name: "", Path: path + "*", @@ -350,6 +499,15 @@ func (i *imlServiceController) Create(ctx *gin.Context, teamID string, input *se }, Disable: false, }) + apps, err := i.appModule.Search(ctx, teamID, "") + if err != nil { + return err + } + for _, app := range apps { + i.subscribeModule.AddSubscriber(ctx, info.Id, &subscribe_dto.AddSubscriber{ + Application: app.Id, + }) + } return err }) return info, err @@ -436,22 +594,22 @@ func (i *imlAppController) DeleteApp(ctx *gin.Context, appId string) error { return i.module.DeleteApp(ctx, appId) } -func newAIUpstream(id string, provider string, uri model_runtime.IProviderURI) *upstream_dto.Upstream { - return &upstream_dto.Upstream{ - Type: "http", - Balance: "round-robin", - Timeout: 300000, - Retry: 0, - Remark: fmt.Sprintf("auto create by ai service %s,provider is %s", id, provider), - LimitPeerSecond: 0, - ProxyHeaders: nil, - Scheme: uri.Scheme(), - PassHost: "node", - Nodes: []*upstream_dto.NodeConfig{ - { - Address: uri.Host(), - Weight: 100, - }, - }, - } -} +//func newAIUpstream(id string, provider string, uri model_runtime.IProviderURI) *upstream_dto.Upstream { +// return &upstream_dto.Upstream{ +// Type: "http", +// Balance: "round-robin", +// Timeout: 300000, +// Retry: 0, +// Remark: fmt.Sprintf("auto create by ai service %s,provider is %s", id, provider), +// LimitPeerSecond: 0, +// ProxyHeaders: nil, +// Scheme: uri.Scheme(), +// PassHost: "node", +// Nodes: []*upstream_dto.NodeConfig{ +// { +// Address: uri.Host(), +// Weight: 100, +// }, +// }, +// } +//} diff --git a/controller/service/service.go b/controller/service/service.go index c46ad21f..e3be79f8 100644 --- a/controller/service/service.go +++ b/controller/service/service.go @@ -16,6 +16,9 @@ type IServiceController interface { // SearchMyServices 搜索服务 SearchMyServices(ctx *gin.Context, teamID string, keyword string) ([]*service_dto.ServiceItem, error) Search(ctx *gin.Context, teamIDs string, keyword string) ([]*service_dto.ServiceItem, error) + QuickCreateRestfulService(ctx *gin.Context) error + + QuickCreateAIService(ctx *gin.Context, input *service_dto.QuickCreateAIService) error // Create 创建 Create(ctx *gin.Context, teamID string, input *service_dto.CreateService) (*service_dto.Service, error) // Edit 编辑 diff --git a/controller/system/iml.go b/controller/system/iml.go index f54e05b4..44f9e37e 100644 --- a/controller/system/iml.go +++ b/controller/system/iml.go @@ -10,6 +10,8 @@ import ( "strings" "time" + subscribe_dto "github.com/APIParkLab/APIPark/module/subscribe/dto" + "github.com/eolinker/eosc/log" ai_dto "github.com/APIParkLab/APIPark/module/ai/dto" @@ -222,6 +224,7 @@ type imlInitController struct { applicationAuthorizationModule application_authorization.IAuthorizationModule `autowired:""` catalogueModule catalogue.ICatalogueModule `autowired:""` providerModule ai.IProviderModule `autowired:""` + subscribeModule subscribe.ISubscribeModule `autowired:""` transaction store.ITransaction `autowired:""` aiAPIModule ai_api.IAPIModule `autowired:""` docModule service.IServiceDocModule `autowired:""` @@ -248,7 +251,7 @@ func (i *imlInitController) OnInit() { if len(items) == 0 { err = i.catalogueModule.Create(ctx, &catalogue_dto.CreateCatalogue{ Id: catalogueId, - Name: "Default Catalogue", + Name: "Default Category", }) if err != nil { return fmt.Errorf("create default catalogue error: %v", err) @@ -264,6 +267,13 @@ func (i *imlInitController) OnInit() { if err != nil { return fmt.Errorf("create default team error: %v", err) } + app, err := i.appModule.CreateApp(ctx, info.Id, &service_dto.CreateApp{ + Name: "Demo Application", + Description: "Auto created By APIPark", + }) + if err != nil { + return fmt.Errorf("create default app error: %v", err) + } // 创建Rest服务 restPath := "/rest-demo" serviceInfo, err := i.serviceModule.Create(ctx, info.Id, &service_dto.CreateService{ @@ -298,6 +308,13 @@ func (i *imlInitController) OnInit() { if err != nil { return fmt.Errorf("create default router error: %v", err) } + err = i.subscribeModule.AddSubscriber(ctx, serviceInfo.Id, &subscribe_dto.AddSubscriber{ + Application: app.Id, + }) + if err != nil { + return err + } + // 创建AI服务 err = i.createAIService(ctx, info.Id, &service_dto.CreateService{ Name: "AI Demo Service", @@ -307,17 +324,11 @@ func (i *imlInitController) OnInit() { Catalogue: catalogueId, ApprovalType: "auto", Kind: "ai", - }) + }, app.Id) if err != nil { return err } - app, err := i.appModule.CreateApp(ctx, info.Id, &service_dto.CreateApp{ - Name: "Demo Application", - Description: "Auto created By APIPark", - }) - if err != nil { - return fmt.Errorf("create default app error: %v", err) - } + _, err = i.applicationAuthorizationModule.AddAuthorization(ctx, app.Id, &application_authorization_dto.CreateAuthorization{ Name: "Default API Key", Driver: "apikey", @@ -338,7 +349,7 @@ func (i *imlInitController) OnInit() { } }) } -func (i *imlInitController) createAIService(ctx context.Context, teamID string, input *service_dto.CreateService) error { +func (i *imlInitController) createAIService(ctx context.Context, teamID string, input *service_dto.CreateService, appId string) error { providerId := "fakegpt" err := i.providerModule.UpdateProviderConfig(ctx, providerId, &ai_dto.UpdateConfig{ @@ -351,6 +362,12 @@ func (i *imlInitController) createAIService(ctx context.Context, teamID string, if input.Id == "" { input.Id = uuid.New().String() } + providerInfo, err := i.providerModule.Provider(ctx, *input.Provider) + if err != nil { + return err + } + input.Model = &providerInfo.DefaultLLM + if input.Prefix == "" { if len(input.Id) < 9 { input.Prefix = input.Id @@ -463,6 +480,12 @@ func (i *imlInitController) createAIService(ctx context.Context, teamID string, if err != nil { return err } + err = i.subscribeModule.AddSubscriber(ctx, info.Id, &subscribe_dto.AddSubscriber{ + Application: appId, + }) + if err != nil { + return err + } return i.docModule.SaveServiceDoc(ctx, info.Id, &service_dto.SaveServiceDoc{ Doc: "The Translation API allows developers to translate text from one language to another. It supports multiple languages and enables easy integration of high-quality translation features into applications. With simple API requests, you can quickly translate content into different target languages.", diff --git a/frontend/package.json b/frontend/package.json index 7217f6e4..5998344c 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -43,7 +43,7 @@ "react-dom": "^18.2.0", "react-i18next": "^15.0.1", "react-joyride": "^2.8.2", - "react-router-dom": "^6.20.0", + "react-router-dom": "6.20.0", "swagger-ui-react": "^5.17.14", "tailwindcss": "^3.3.5", "uuid": "^9.0.1", diff --git a/frontend/packages/common/src/assets/localAI.svg b/frontend/packages/common/src/assets/localAI.svg new file mode 100644 index 00000000..ea2ac931 --- /dev/null +++ b/frontend/packages/common/src/assets/localAI.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/packages/common/src/assets/onlineAI.svg b/frontend/packages/common/src/assets/onlineAI.svg new file mode 100644 index 00000000..008a606f --- /dev/null +++ b/frontend/packages/common/src/assets/onlineAI.svg @@ -0,0 +1,3 @@ + + + diff --git a/frontend/packages/common/src/assets/restAPI.svg b/frontend/packages/common/src/assets/restAPI.svg new file mode 100644 index 00000000..680b98f3 --- /dev/null +++ b/frontend/packages/common/src/assets/restAPI.svg @@ -0,0 +1,14 @@ + + + + + + REST + diff --git a/frontend/packages/common/src/components/aoplatform/BasicLayout.tsx b/frontend/packages/common/src/components/aoplatform/BasicLayout.tsx index 931bf7f0..d5bcaa05 100644 --- a/frontend/packages/common/src/components/aoplatform/BasicLayout.tsx +++ b/frontend/packages/common/src/components/aoplatform/BasicLayout.tsx @@ -116,6 +116,10 @@ function BasicLayout({ project = 'core' }: { project: string }) { getGlobalAccessData() }, []) + useEffect(() => { + setPathname(location.pathname) + }, [location.pathname]) + const logOut = () => { fetchData>('account/logout', { method: 'GET' }).then((response) => { const { code, msg } = response @@ -182,7 +186,7 @@ function BasicLayout({ project = 'core' }: { project: string }) { , ...((pluginSlotHub.getSlot('basicLayoutAfterBtns') as unknown[]) || []) ] - }, [pluginSlotHub.getSlot('basicLayoutAfterBtns')]) + }, [state.language, pluginSlotHub.getSlot('basicLayoutAfterBtns')]) return (
(
navigator(mainPage)} /> + + +
)} logo={Logo} @@ -276,9 +293,9 @@ function BasicLayout({ project = 'core' }: { project: string }) { collapsedButtonRender={false} >
diff --git a/frontend/packages/common/src/components/aoplatform/InsidePage.tsx b/frontend/packages/common/src/components/aoplatform/InsidePage.tsx index 3260e886..484a0814 100644 --- a/frontend/packages/common/src/components/aoplatform/InsidePage.tsx +++ b/frontend/packages/common/src/components/aoplatform/InsidePage.tsx @@ -22,6 +22,8 @@ class InsidePageProps { headerClassName?: string = '' /** 整个页面滚动 */ scrollPage?: boolean = true + scrollInsidePage?: boolean = false + customPadding?: boolean customBtn?: ReactNode } @@ -41,6 +43,8 @@ const InsidePage: FC = ({ contentClassName = '', headerClassName = '', scrollPage = true, + scrollInsidePage = false, + customPadding = false, customBtn }) => { const navigate = useNavigate() @@ -49,7 +53,9 @@ const InsidePage: FC = ({ navigate(backUrl || '/') } return ( -
+
{showBanner && (
= ({ {!pageTitle && !description && !backUrl && !customBtn ? ( <> ) : ( -
+
{backUrl && (
)} -
+
{children}
diff --git a/frontend/packages/common/src/components/aoplatform/PageList.tsx b/frontend/packages/common/src/components/aoplatform/PageList.tsx index 4575904a..dab31d82 100644 --- a/frontend/packages/common/src/components/aoplatform/PageList.tsx +++ b/frontend/packages/common/src/components/aoplatform/PageList.tsx @@ -36,11 +36,13 @@ interface PageListProps extends ProTableProps, RefAttributes void beforeSearchNode?: React.ReactNode[] onSearchWordChange?: (e: ChangeEvent) => void afterNewBtn?: React.ReactNode[] + beforeNewBtn?: React.ReactNode[] dragSortKey?: string onDragSortEnd?: (beforeIndex: number, afterIndex: number, newDataSource: T[]) => void | Promise tableTitle?: string @@ -56,7 +58,8 @@ interface PageListProps extends ProTableProps, RefAttributes void + manualReloadTable?: () => void, + customEmptyRender?: () => React.ReactNode } const PageList = >( @@ -73,6 +76,7 @@ const PageList = >( primaryKey = 'id', addNewBtnTitle, addNewBtnAccess, + addNewBtnDisabled = false, tableClickAccess, tableClass, onAddNewBtnClick, @@ -80,6 +84,7 @@ const PageList = >( onSearchWordChange, manualReloadTable, afterNewBtn, + beforeNewBtn, dragSortKey, onDragSortEnd, tableTitle, @@ -94,7 +99,8 @@ const PageList = >( tableTitleClass, delayLoading = true, besidesTableHeight, - noScroll + noScroll, + customEmptyRender } = props const parentRef = useRef(null) const [tableHeight, setTableHeight] = useState(minVirtualHeight || window.innerHeight) @@ -190,6 +196,7 @@ const PageList = >( const headerTitle = () => { return ( <> + {beforeNewBtn ? (beforeNewBtn as React.ReactNode[]) : undefined} {tableTitle ? ( {tableTitle} ) : addNewBtnTitle ? ( @@ -197,6 +204,7 @@ const PageList = >( - - ) : ( - - )} -
- ) -} - -export default AIFlowChart diff --git a/frontend/packages/core/src/pages/aiSetting/AIUnconfigure.tsx b/frontend/packages/core/src/pages/aiSetting/AIUnconfigure.tsx deleted file mode 100644 index ba1ae334..00000000 --- a/frontend/packages/core/src/pages/aiSetting/AIUnconfigure.tsx +++ /dev/null @@ -1,136 +0,0 @@ -import Icon, { LoadingOutlined } from '@ant-design/icons' -import WithPermission from '@common/components/aoplatform/WithPermission' -import { BasicResponse, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' -import { useGlobalContext } from '@common/contexts/GlobalStateContext' -import { useFetch } from '@common/hooks/http' -import { $t } from '@common/locales' -import { App, Button, Card, Empty, Spin, Tag } from 'antd' -import { memo, useEffect, useState } from 'react' -import { useNavigate } from 'react-router-dom' -import { useAiSetting } from './contexts/AiSettingContext' -import { AiSettingListItem } from './types' - -const CardBox = memo(({ provider }: { provider: AiSettingListItem }) => { - const { openConfigModal } = useAiSetting() - const navigate = useNavigate() - - const handleOpenModal = async (provider: AiSettingListItem) => { - await openConfigModal(provider) - navigate('/aisetting?status=configure') - } - - return ( - -
- - {provider.name} -
- - {provider.configured ? $t('已配置') : $t('未配置')} - -
- } - className="shadow-[0_5px_10px_0_rgba(0,0,0,0.05)] rounded-[10px] overflow-visible h-[156px] m-0 flex flex-col " - classNames={{ header: 'border-b-[0px] p-[20px] px-[24px]', body: 'pt-0 flex-1' }} - > -
-
- {provider.configured && ( - <> - - {provider.defaultLlm} - - )} -
- - - -
- - ) -}) -const ModelCardArea = ({ modelList, className }: { modelList: AiSettingListItem[]; className?: string }) => { - return ( - <> - {modelList.length > 0 ? ( -
- {modelList.map((provider: AiSettingListItem) => ( - - ))} -
- ) : ( - - )} - - ) -} - -const AIUnConfigure = () => { - const [modelData, setModelData] = useState([]) - const { fetchData } = useFetch() - const [loading, setLoading] = useState(false) - const { aiConfigFlushed } = useGlobalContext() - - useEffect(() => { - setLoading(true) - fetchData[] }>>(`ai/providers/unconfigured`, { - method: 'GET', - eoTransformKeys: ['default_llm', 'default_llm_logo'] - }) - .then((response) => { - const { code, data, msg } = response - if (code === STATUS_CODE.SUCCESS) { - setModelData(data.providers) - } else { - const { message } = App.useApp() - message.error(msg || $t(RESPONSE_TIPS.error)) - } - }) - .finally(() => setLoading(false)) - }, [aiConfigFlushed]) - - return ( - } - spinning={loading} - > - {modelData && modelData.length > 0 ? ( -
- {modelData.filter((item) => !item.configured).length > 0 && ( - <> - !item.configured) || []} /> - - )} -
- ) : ( - - )} - - ) -} -export default AIUnConfigure diff --git a/frontend/packages/core/src/pages/aiSetting/AiSettingList.tsx b/frontend/packages/core/src/pages/aiSetting/AiSettingList.tsx index aa7034d2..0fbccad4 100644 --- a/frontend/packages/core/src/pages/aiSetting/AiSettingList.tsx +++ b/frontend/packages/core/src/pages/aiSetting/AiSettingList.tsx @@ -3,9 +3,9 @@ import { useI18n } from '@common/locales' import { Tabs } from 'antd' import { useEffect, useState } from 'react' import { useSearchParams } from 'react-router-dom' -import AIFlowChart from './AIFlowChart' -import AIUnConfigure from './AIUnconfigure' import { AiSettingProvider } from './contexts/AiSettingContext' +import OnlineModelList from './OnlineModelList' +import LocalModelList from './LocalModelList' const CONTENT_STYLE = { height: 'calc(-300px + 100vh)' } as const @@ -38,21 +38,19 @@ const AiSettingContent = () => { items={[ { key: 'flow', - label: $t('已设置'), + label: $t('在线模型'), children: (
- +
) }, { key: 'config', - label: $t('未设置'), - children: ( -
- -
- ) + label: $t('本地模型'), + children:
+ +
} ]} /> diff --git a/frontend/packages/core/src/pages/aiSetting/AiSettingModal.tsx b/frontend/packages/core/src/pages/aiSetting/AiSettingModal.tsx index a81a4c7d..9aa3e430 100644 --- a/frontend/packages/core/src/pages/aiSetting/AiSettingModal.tsx +++ b/frontend/packages/core/src/pages/aiSetting/AiSettingModal.tsx @@ -1,34 +1,53 @@ -import { QuestionCircleOutlined } from '@ant-design/icons' import { Codebox } from '@common/components/postcat/api/Codebox' import { BasicResponse, PLACEHOLDER, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' import { useFetch } from '@common/hooks/http' import { $t } from '@common/locales' import { App, Form, InputNumber, Select, Switch, Tag, Tooltip } from 'antd' -import { forwardRef, useEffect, useImperativeHandle, useState } from 'react' -import { AiProviderLlmsItems, ModelDetailData } from './types' +import { forwardRef, useEffect, useImperativeHandle, useRef, useState } from 'react' +import { AiProviderLlmsItems, ModelDetailData, AiSettingListItem, AISettingEntityItem } from './types' +import { MemberItem, SimpleTeamItem } from '@common/const/type' +import { useGlobalContext } from '@common/contexts/GlobalStateContext' export type AiSettingModalContentProps = { - entity: ModelDetailData & { defaultLlm: string } + entity?: AISettingEntityItem readOnly: boolean + modelMode?: 'auto' | 'manual' + source?: string + /** 如果是手动选择 AI 模型，那么需要更新 footer 底部的内容，所以需要这个方法去更新外部的 footer */ + updateEntityData: (entity: AISettingEntityItem) => void } export type AiSettingModalContentHandle = { save: () => Promise + deployAIServer: () => Promise } const AiSettingModalContent = forwardRef((props, ref) => { const [form] = Form.useForm() const { message } = App.useApp() - const { entity, readOnly } = props + const { entity, readOnly, modelMode = 'auto', updateEntityData, source } = props const { fetchData } = useFetch() const [llmList, setLlmList] = useState() const [loading, setLoading] = useState(false) - const [enableState, setEnableState] = useState(entity.status === 'enabled') - const getLlmList = () => { + // AI 模型配置 + const [localEntity, setLocalEntity] = useState(entity) + const [teamList, setTeamList] = useState([]) + // AI 模型提供商列表 + const modelProviderListRef = useRef([]) + // 模型模式加载 + const [modelModeLoading, setModelModeLoading] = useState(false) + const [enableState, setEnableState] = useState(localEntity?.status === 'enabled') + const { checkPermission } = useGlobalContext() + + /** + * 获取 llm 列表 + * @param id + */ + const getLlmList = (id?: string) => { setLoading(true) fetchData>(`ai/provider/llms`, { method: 'GET', - eoParams: { provider: entity.id } + eoParams: { provider: id || localEntity?.id } }) .then((response) => { const { code, data, msg } = response @@ -43,41 +62,133 @@ const AiSettingModalContent = forwardRef { - getLlmList() + /** + * 获取团队选项列表 + * @returns + */ + const getTeamOptionList = async (): any[] => { + const response = await fetchData>( + !checkPermission('system.workspace.team.view_all') ? 'simple/teams/mine' : 'simple/teams', + { method: 'GET', eoTransformKeys: [] } + ) + const { code, data, msg } = response + if (code === STATUS_CODE.SUCCESS) { + const teamOptionList = data.teams?.map((x: MemberItem) => { + return { ...x, label: x.name, value: x.id } + }) + setTeamList(teamOptionList) + if (form.getFieldValue('team') === undefined && data.teams?.length) { + form.setFieldValue('team', data.teams[0].id) + } + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + return [] + } + } + + /** + * 获取未配置模型提供者列表 + */ + const getModelProviderList = () => { + setModelModeLoading(true) + fetchData>(`ai/providers/unconfigured`, { + method: 'GET', + eoTransformKeys: ['default_llm', 'default_llm_logo'] + }) + .then((response) => { + const { code, data, msg } = response + if (code === STATUS_CODE.SUCCESS) { + const providers = data.providers || [] + modelProviderListRef.current = providers + if (providers.length) { + const id = providers[0].id + form.setFieldValue('modelMode', id) + getModelConfig(id) + } + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + } + }) + .finally(() => { + setModelModeLoading(false) + }) + } + + /** + * 获取模型配置 + * @param id + */ + const getModelConfig = (id: string) => { + getLlmList(id) + fetchData>(`ai/provider/config`, { + method: 'GET', + eoParams: { provider: id }, + eoTransformKeys: ['get_apikey_url', 'default_llm'] + }) + .then((response) => { + const { code, data, msg } = response + if (code === STATUS_CODE.SUCCESS) { + const modelEntity = { + ...data.provider + } + setLocalEntity(modelEntity) + setFormFieldsValue(modelEntity) + updateEntityData?.(modelEntity) + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + } + }) + .finally(() => { + setModelModeLoading(false) + }) + } + + /** + * 设置表单字段值 + * @param fieldsValue + */ + const setFormFieldsValue = (fieldsValue: any) => { try { form.setFieldsValue({ - defaultLlm: entity.defaultLlm, - config: entity!.config ? JSON.stringify(JSON.parse(entity!.config), null, 2) : '', - priority: entity.priority || 1, - enable: entity.status === 'enabled' + defaultLlm: fieldsValue.defaultLlm, + config: fieldsValue!.config ? JSON.stringify(JSON.parse(fieldsValue!.config), null, 2) : '', + enable: fieldsValue.status === 'enabled' }) } catch (e) { form.setFieldsValue({ - defaultLlm: entity.defaultLlm, + defaultLlm: localEntity?.defaultLlm, config: '', - priority: 1, enable: true }) } + } + useEffect(() => { + if (localEntity?.id) { + getModelConfig(localEntity.id) + setFormFieldsValue(localEntity) + } else { + getModelProviderList() + source && getTeamOptionList() + } }, []) - const save: () => Promise = () => { + /** + * 部署 AI 服务 + */ + const deployAIServer: () => Promise = () => { return new Promise((resolve, reject) => { form .validateFields() .then((value) => { const finalValue = { - ...value, - priority: Math.max(1, value.priority) + config: value.config, + model: value.defaultLlm, + team: value.team, + provider: localEntity?.id } - - fetchData>('ai/provider/config', { - method: 'PUT', - eoParams: { provider: entity?.id }, - eoBody: finalValue, - eoTransformKeys: ['defaultLlm'] - // eoApiPrefix: 'http://uat.apikit.com:11204/mockApi/aoplatform/api/v1/' + fetchData>('quick/service/ai', { + method: 'POST', + eoBody: finalValue }) .then((response) => { const { code, msg } = response @@ -95,6 +206,45 @@ const AiSettingModalContent = forwardRef Promise = () => { + return new Promise((resolve, reject) => { + try { + form + .validateFields() + .then((value) => { + const finalValue = { + ...value + } + + fetchData>('ai/provider/config', { + method: 'PUT', + eoParams: { provider: localEntity?.id }, + eoBody: finalValue, + eoTransformKeys: ['defaultLlm'] + // eoApiPrefix: 'http://uat.apikit.com:11204/mockApi/aoplatform/api/v1/' + }) + .then((response) => { + const { code, msg } = response + if (code === STATUS_CODE.SUCCESS) { + message.success(msg || $t(RESPONSE_TIPS.success)) + resolve(true) + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + reject(msg || $t(RESPONSE_TIPS.error)) + } + }).catch((errorInfo) => reject(errorInfo)) + }) + .catch((errorInfo) => reject(errorInfo)) + } catch (error) { + reject(error) + } + }) + } + const getTooltipText = (isChecked: boolean) => { if (!isChecked) { return $t('保存后供应商状态变为【停用】，使用本供应商的 API 将临时使用负载优先级最高的正常供应商。') @@ -103,7 +253,8 @@ const AiSettingModalContent = forwardRef ({ - save + save, + deployAIServer })) return ( @@ -117,6 +268,26 @@ const AiSettingModalContent = forwardRef + {modelMode === 'manual' && ( + label={$t('模型供应商')} name="modelMode" rules={[{ required: true }]}> + + + )} label={$t('默认模型')} name="defaultLlm" rules={[{ required: true }]}> - - - label={ - - {$t('负载优先级')} - - - - - } - name="priority" - rules={[ - { required: true }, - { - validator: async (_, value) => { - if (value <= 0) { - throw new Error($t('优先级必须大于 0')) - } - return Promise.resolve() - } - } - ]} - initialValue={1} - > - - - + {source === 'guide' && ( + + + + )} label={$t('API Key（默认 Key）')} name="config"> - - {entity.configured && ( + {source !== 'guide' && (
{$t('当前调用状态：')} - {entity.status === 'enabled' && {$t('正常')}} - {entity.status === 'disabled' && {$t('停用')}} - {entity.status === 'abnormal' && {$t('异常')}} + {localEntity?.status === 'enabled' && {$t('正常')}} + {localEntity?.status === 'disabled' && {$t('停用')}} + {localEntity?.status === 'abnormal' && {$t('异常')}}
- {(entity.status === 'enabled' && !enableState) || (entity.status !== 'enabled' && enableState) ? ( + {(localEntity?.status === 'enabled' && !enableState) || (localEntity?.status !== 'enabled' && enableState) ? (
* {getTooltipText(enableState)}
) : null} diff --git a/frontend/packages/core/src/pages/aiSetting/ConfigureOllamaService.tsx b/frontend/packages/core/src/pages/aiSetting/ConfigureOllamaService.tsx new file mode 100644 index 00000000..6207051b --- /dev/null +++ b/frontend/packages/core/src/pages/aiSetting/ConfigureOllamaService.tsx @@ -0,0 +1,85 @@ +import { forwardRef, useEffect, useImperativeHandle } from 'react' +import { App, Divider, Form, Space, Switch, Tag, Input } from 'antd' +import { BasicResponse, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' +import { $t } from '@common/locales' +import WithPermission from '@common/components/aoplatform/WithPermission' +import { useFetch } from '@common/hooks/http' + +export type ConfigureOllamaServiceHandle = { + save: () => Promise +} + +const ConfigureOllamaService = forwardRef((props, ref) => { + const { address = '' } = props + const [form] = Form.useForm() + const { fetchData } = useFetch() + const { message } = App.useApp() + + useEffect(() => { + form.setFieldsValue({ address }) + }, []) + + /** + * 保存 + * @returns + */ + const save: () => Promise = () => { + return new Promise((resolve, reject) => { + try { + form + .validateFields() + .then((value) => { + fetchData>('model/local/source/ollama', { + method: 'PUT', + eoBody: { address: value.address } + }) + .then((response) => { + const { code, msg } = response + if (code === STATUS_CODE.SUCCESS) { + message.success(msg || $t(RESPONSE_TIPS.success)) + resolve(true) + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + reject(msg || $t(RESPONSE_TIPS.error)) + } + }) + .catch((errorInfo) => reject(errorInfo)) + }) + .catch((errorInfo) => reject(errorInfo)) + } catch (error) { + reject(error) + } + }) + } + useImperativeHandle(ref, () => ({ + save + })) + return ( + +
+ + form.setFieldValue('address', e.target.value)} + /> + +
+ + ) +}) + +export default ConfigureOllamaService diff --git a/frontend/packages/core/src/pages/aiSetting/LocalModelList.tsx b/frontend/packages/core/src/pages/aiSetting/LocalModelList.tsx new file mode 100644 index 00000000..145ad02c --- /dev/null +++ b/frontend/packages/core/src/pages/aiSetting/LocalModelList.tsx @@ -0,0 +1,469 @@ +import { ActionType } from '@ant-design/pro-components' +import PageList, { PageProColumns } from '@common/components/aoplatform/PageList' +import TableBtnWithPermission from '@common/components/aoplatform/TableBtnWithPermission' +import { BasicResponse, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' +import { useFetch } from '@common/hooks/http' +import { $t } from '@common/locales' +import { App, Divider, Form, Space, Switch, Tag, Button } from 'antd' +import React, { forwardRef, useEffect, useImperativeHandle, useRef, useState } from 'react' +import { ModelListData } from './types' +import LocalAiDeploy, { LocalAiDeployHandle } from '../guide/LocalAiDeploy' +import { ServiceDeployment } from '../system/serviceDeployment/ServiceDeployment' +import { LogsFooter } from '../system/serviceDeployment/ServiceDeployMentFooter' +import WithPermission from '@common/components/aoplatform/WithPermission' +import { Icon } from '@iconify/react/dist/iconify.js' +import ConfigureOllamaService, { ConfigureOllamaServiceHandle } from './ConfigureOllamaService' +type EditLocalModelModalHandle = { + save: () => Promise +} +type EditLocalModelModalProps = { + enable: boolean + modelID?: string +} +const EditLocalModelModal = forwardRef( + (props: EditLocalModelModalProps, ref) => { + const { enable, modelID } = props + const { fetchData } = useFetch() + const { message } = App.useApp() + const [form] = Form.useForm() + const [currentStatus, setCurrentStatus] = useState(enable) + + useEffect(() => { + form.setFieldsValue({ enable }) + }, []) + /** + * 保存 + * @returns + */ + const save: () => Promise = () => { + return new Promise((resolve, reject) => { + try { + form + .validateFields() + .then((value) => { + const finalValue = { + disable: !value.enable + } + + fetchData>('model/local/info', { + method: 'PUT', + eoParams: { model: modelID }, + eoBody: finalValue + }) + .then((response) => { + const { code, msg } = response + if (code === STATUS_CODE.SUCCESS) { + message.success(msg || $t(RESPONSE_TIPS.success)) + resolve(true) + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + reject(msg || $t(RESPONSE_TIPS.error)) + } + }) + .catch((errorInfo) => reject(errorInfo)) + }) + .catch((errorInfo) => reject(errorInfo)) + } catch (error) { + reject(error) + } + }) + } + useImperativeHandle(ref, () => ({ + save + })) + + return ( + +
+ +
+
+ {$t('当前调用状态：')} + {currentStatus && {$t('正常')}} + {!currentStatus && {$t('停用')}} +
+ + { + form.setFieldsValue({ enable: checked }) + setCurrentStatus(checked) + }} + /> + +
+ +
+ + ) + } +) + +const LocalModelList: React.FC = () => { + const pageListRef = useRef(null) + const { message, modal } = App.useApp() + const { fetchData } = useFetch() + const [searchWord, setSearchWord] = useState('') + const localAiDeployRef = useRef() + const ConfigureOllamaServiceRef = useRef() + const EditLocalModelModalRef = useRef() + const [stateColumnMap] = useState<{ [k: string]: { text: string; className?: string } }>({ + normal: { text: '正常' }, + deploying: { text: '部署中', className: 'text-[#2196f3] cursor-pointer' }, + error: { text: '模型异常', className: 'text-[#ff4d4f]' }, + disabled: { text: '停用' }, + deploying_error: { text: '部署失败', className: 'text-[#ff4d4f] cursor-pointer' } + }) + + const [ollamaAddress, setOllamaAddress] = useState('') + + useEffect(() => { + getOllamaData() + }, []) + + const configureService = (address?: string) => { + modal.confirm({ + title: $t('配置 Ollama 服务'), + content: , + onOk: () => { + return ConfigureOllamaServiceRef.current?.save().then((res) => { + if (res === true) { + getOllamaData() + } + }) + }, + footer: (_, { OkBtn, CancelBtn }) => { + return ( + + ) + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + + const customEmptyRender = () => { + return ( + <> +
+ +
{$t('模型部署服务未配置')}
+ + + +
+ + ) + } + + const getOllamaData = async () => { + const response = await fetchData>('model/local/source/ollama', { + method: 'GET' + }) + + if (response.code === STATUS_CODE.SUCCESS) { + setOllamaAddress(response.data?.config?.address || '') + pageListRef.current?.reload() + } else { + message.error(response.msg || $t(RESPONSE_TIPS.error)) + } + } + + const handleEdit = (record: ModelListData) => { + modal.confirm({ + title: $t('模型设置'), + content: ( + + ), + onOk: () => { + return EditLocalModelModalRef.current?.save().then((res) => { + if (res === true) { + pageListRef.current?.reload() + } + }) + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + + const handleAdd = () => { + const modalInstance = modal.confirm({ + title: $t('部署本地模型'), + content: ( + { + modalInstance.destroy() + pageListRef.current?.reload() + }} + > + ), + onOk: () => { + return localAiDeployRef.current?.deployLocalAIServer().then((res) => { + if (res === true) { + pageListRef.current?.reload() + } + }) + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + + const handleDelete = async (id: string, apiCount: number) => { + modal.confirm({ + title: $t('删除模型'), + content: `${$t('有')} ${apiCount} ${$t('个API使用当前模型，删除当前的模型配置后，该模型相关的API将会切换为使用负载均衡中优先级最高的可用模型。并且当前模型下的所有API KEY和相关数据将会被清空，是否确认删除当前模型？')}`, + onOk: () => { + return new Promise((resolve, reject) => { + try { + fetchData>('model/local', { + method: 'DELETE', + eoParams: { + model: id + } + }) + .then((response) => { + if (response.code === STATUS_CODE.SUCCESS) { + message.success($t('删除成功')) + pageListRef.current?.reload() + } else { + message.error(response.msg || RESPONSE_TIPS.error) + } + resolve(true) + }) + .catch((error) => { + message.error(RESPONSE_TIPS.error) + resolve(true) + }) + } catch (error) { + message.error(RESPONSE_TIPS.error) + resolve(true) + } + }) + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + + const requestList = async (params: any) => { + try { + if (!ollamaAddress) { + return { + data: [], + success: true, + total: 0 + } + } + const response = await fetchData>('model/local/list', { + method: 'GET', + eoParams: { + page_size: params.pageSize, + keyword: searchWord, + page: params.current + }, + eoTransformKeys: ['can_delete', 'api_count'] + }) + + if (response.code === STATUS_CODE.SUCCESS) { + return { + data: response.data.models, + success: true, + total: response.data.total + } + } else { + message.error(response.msg || $t(RESPONSE_TIPS.error)) + return { + data: [], + success: false, + total: response.data.total + } + } + } catch (error) { + return { + data: [], + success: false, + total: 0 + } + } + } + + const operation: PageProColumns[] = [ + { + title: '', + key: 'option', + btnNums: 2, + fixed: 'right', + valueType: 'option', + render: (_: React.ReactNode, entity: ModelListData) => [ + handleEdit(entity)} + btnTitle={$t('设置')} + />, + , + handleDelete(entity.id as string, entity?.apiCount)} + btnTitle={$t('删除')} + /> + ] + } + ] + + const openLogsModal = (record: any) => { + const closeModal = (reload = true) => { + reload && pageListRef.current?.reload() + modalInstance.destroy() + } + const updateFooter = () => { + record.state = 'error' + modalInstance.update({}) + } + let cancelCb: () => void = () => {} + const cancel = (cancel: () => void) => { + cancelCb = cancel + } + const modalInstance = modal.confirm({ + title: $t('部署过程'), + content: ( + + ), + footer: () => { + return + }, + afterClose: () => { + cancelCb() + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + + const columns: PageProColumns[] = [ + { + title: $t('名称'), + dataIndex: 'name', + render: (dom: React.ReactNode, entity: ModelListData) => {entity.name} + }, + { + title: $t('状态'), + width: 140, + dataIndex: 'state', + ellipsis: true, + render: (dom: React.ReactNode, entity: ModelListData) => ( + { + if (['deploying', 'deploying_error'].includes(entity?.state as string)) { + e?.stopPropagation() + openLogsModal(entity) + } + }} + > + {$t(stateColumnMap[entity?.state as string]?.text || '-')} + + ) + }, + { + title: $t('Apis'), + dataIndex: 'apiCount', + width: 100, + render: (dom: React.ReactNode, record: ModelListData) => ( + + + {record.apiCount || '0'} + + + ) + }, + ...operation + ] + + return ( + { + setSearchWord(e.target.value) + pageListRef.current?.reload() + }} + beforeNewBtn={[ + + + + ]} + showPagination={true} + searchPlaceholder={$t('请输入名称搜索')} + columns={columns} + addNewBtnTitle={$t('部署模型')} + onAddNewBtnClick={handleAdd} + addNewBtnAccess="system.devops.ai_provider.edit" + addNewBtnDisabled={!ollamaAddress} + /> + ) +} + +export default LocalModelList diff --git a/frontend/packages/core/src/pages/aiSetting/OnlineModelList.tsx b/frontend/packages/core/src/pages/aiSetting/OnlineModelList.tsx new file mode 100644 index 00000000..a77d3e23 --- /dev/null +++ b/frontend/packages/core/src/pages/aiSetting/OnlineModelList.tsx @@ -0,0 +1,226 @@ +import { ActionType } from '@ant-design/pro-components' +import PageList, { PageProColumns } from '@common/components/aoplatform/PageList' +import TableBtnWithPermission from '@common/components/aoplatform/TableBtnWithPermission' +import { BasicResponse, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' +import { useFetch } from '@common/hooks/http' +import { $t } from '@common/locales' +import { App, Divider, Space, Typography } from 'antd' +import React, { useRef, useState } from 'react' +import { useAiSetting } from './contexts/AiSettingContext' +import { AiSettingListItem, ModelListData } from './types' + +const OnlineModelList: React.FC = () => { + const pageListRef = useRef(null) + const { message, modal } = App.useApp() + const { fetchData } = useFetch() + const [searchWord, setSearchWord] = useState('') + const [total, setTotal] = useState(0) + const { openConfigModal } = useAiSetting() + + const handleEdit = (record: ModelListData) => { + openConfigModal({ id: record.id, defaultLlm: record.defaultLlm } as AiSettingListItem, () => { + pageListRef.current?.reload() + }) + } + + const handleAdd = () => { + openConfigModal(undefined, () => { + pageListRef.current?.reload() + }) + } + + const handleDelete = async (id: string, apiCount: number) => { + modal.confirm({ + title: $t('删除模型'), + content: `${$t('有')} ${apiCount} ${$t('个API使用当前模型，删除当前的模型配置后，该模型相关的API将会切换为使用负载均衡中优先级最高的可用模型。并且当前模型下的所有API KEY和相关数据将会被清空，是否确认删除当前模型？')}`, + onOk: () => { + return new Promise((resolve, reject) => { + try { + fetchData>('ai/provider', { + method: 'DELETE', + eoParams: { + provider: id + } + }).then((response) => { + if (response.code === STATUS_CODE.SUCCESS) { + message.success($t('删除成功')) + pageListRef.current?.reload() + } else { + message.error(response.msg || RESPONSE_TIPS.error) + } + resolve(true) + }).catch((error) => { + message.error(RESPONSE_TIPS.error) + resolve(true) + }) + } catch (error) { + message.error(RESPONSE_TIPS.error) + resolve(true) + } + }) + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + + } + + const requestList = async (params: any) => { + try { + const response = await fetchData>('ai/providers/configured', { + method: 'GET', + eoParams: { + page_size: params.pageSize, + keyword: searchWord, + page: params.current + }, + eoTransformKeys: ['default_llm', 'api_count', 'key_count', 'can_delete'] + }) + + if (response.code === STATUS_CODE.SUCCESS) { + setTotal(response.data.total) + return { + data: response.data.providers, + success: true, + total: response.data.total + } + } else { + message.error(response.msg || $t(RESPONSE_TIPS.error)) + return { + data: [], + success: false, + total: response.data.total + } + } + } catch (error) { + return { + data: [], + success: false, + total: 0 + } + } + } + const statusEnum = { + enabled: { text: {$t('正常')} }, + disabled: { text: {$t('停用')} }, + abnormal: { text: {$t('异常')} } + } + + const operation: PageProColumns[] = [ + { + title: '', + key: 'option', + btnNums: 4, + fixed: 'right', + valueType: 'option', + render: (_: React.ReactNode, entity: ModelListData) => [ + handleEdit(entity)} + btnTitle={$t('设置')} + />, + , + handleDelete(entity.id as string, entity.apiCount)} + btnTitle={$t('删除')} + /> + ] + } + ] + + const columns: PageProColumns[] = [ + { + title: $t('名称'), + dataIndex: 'name', + render: (dom: React.ReactNode, entity: ModelListData) => {entity.name} + }, + { + title: $t('状态'), + dataIndex: 'status', + ellipsis: true, + valueType: 'select', + // filters: true, + // onFilter: true, + valueEnum: statusEnum, + render: (dom: React.ReactNode, entity: ModelListData) => statusEnum[entity.status]?.text || entity.status + }, + { + title: $t('默认模型'), + ellipsis: true, + dataIndex: 'defaultLlm' + }, + { + title: $t('Apis'), + dataIndex: 'apiCount', + render: (dom: React.ReactNode, record: ModelListData) => ( + + + {record.apiCount || '0'} + + + ) + }, + { + title: $t('Keys'), + dataIndex: 'keyCount', + render: (dom: React.ReactNode, record: ModelListData) => ( + + + {record.keyCount || '0'} + + + ) + }, + ...operation + ] + + return ( + { + setSearchWord(e.target.value) + pageListRef.current?.reload() + }} + showPagination={true} + searchPlaceholder={$t('请输入名称搜索')} + columns={columns} + addNewBtnAccess="system.devops.ai_provider.edit" + addNewBtnTitle={$t('添加模型')} + onAddNewBtnClick={handleAdd} + /> + ) +} + +export default OnlineModelList diff --git a/frontend/packages/core/src/pages/aiSetting/components/CustomEdge.tsx b/frontend/packages/core/src/pages/aiSetting/components/CustomEdge.tsx deleted file mode 100644 index 35d585f5..00000000 --- a/frontend/packages/core/src/pages/aiSetting/components/CustomEdge.tsx +++ /dev/null @@ -1,72 +0,0 @@ -import { BaseEdge, EdgeLabelRenderer, EdgeProps, getSmoothStepPath, useStore } from '@xyflow/react' - -export default function CustomEdge({ - id, - sourceX, - sourceY, - targetX, - targetY, - sourcePosition, - targetPosition, - style = {}, - markerEnd, - label, - data, - source, - target -}: EdgeProps) { - // Get all edges to check for duplicates - const edges = useStore((state) => state.edges) - - // Find duplicate edges between the same source and target - const duplicateEdges = edges.filter((edge) => edge.source === source && edge.target === target) - const edgeIndex = duplicateEdges.findIndex((edge) => edge.id === id) - - // Adjust the path if this is a duplicate edge - const offset = edgeIndex * 20 // 20px offset for each duplicate edge - - const [edgePath] = getSmoothStepPath({ - sourceX, - sourceY: sourceY, - sourcePosition, - targetX, - targetY: targetY + offset, - targetPosition, - borderRadius: 16 - }) - - const modelId = data?.id - - return ( - <> - - {label && ( - - - {label} - - - )} - - ) -} diff --git a/frontend/packages/core/src/pages/aiSetting/components/KeyStatusNode.tsx b/frontend/packages/core/src/pages/aiSetting/components/KeyStatusNode.tsx deleted file mode 100644 index ef24aee6..00000000 --- a/frontend/packages/core/src/pages/aiSetting/components/KeyStatusNode.tsx +++ /dev/null @@ -1,53 +0,0 @@ -import { Handle, Position } from '@xyflow/react' -import React from 'react' -import { KeyData } from '../types' - -interface KeyStatusNodeData { - id: string - title: string - keys: KeyData[] -} - -const KEY_SIZE = '1.25rem' // 20px -const KEY_GAP = '0.25rem' // 4px -const MAX_KEYS = 10 - -export const KeyStatusNode: React.FC<{ data: KeyStatusNodeData }> = ({ data }) => { - const { title, keys = [] } = data - const totalKeys = keys.length - const keyWidth = totalKeys > 5 ? `calc((100% - ${(totalKeys - 1) * 0.25}rem) / ${totalKeys})` : KEY_SIZE - return ( -
- -
-
{title}
-
5 ? '118px' : 'auto', - maxWidth: `calc(${MAX_KEYS} * ${KEY_SIZE} + (${MAX_KEYS} - 1) * ${KEY_GAP})`, - minHeight: KEY_SIZE - }} - > - {keys.map((key) => ( -
- ))} -
-
-
- ) -} diff --git a/frontend/packages/core/src/pages/aiSetting/components/ModelCardNode.tsx b/frontend/packages/core/src/pages/aiSetting/components/ModelCardNode.tsx deleted file mode 100644 index ede8936b..00000000 --- a/frontend/packages/core/src/pages/aiSetting/components/ModelCardNode.tsx +++ /dev/null @@ -1,76 +0,0 @@ -import { $t } from '@common/locales' -import { Icon } from '@iconify/react' -import { Handle, Position } from '@xyflow/react' -import React from 'react' -import { useAiSetting } from '../contexts/AiSettingContext' -import { AiSettingListItem, ModelDetailData, ModelStatus } from '../types' - -type ModelCardNodeData = ModelDetailData & { - id: string - position: { x: number; y: number } - alternativeModel?: ModelDetailData -} - -export const ModelCardNode: React.FC<{ data: ModelCardNodeData }> = ({ data }) => { - const { name, status, defaultLlm, logo, alternativeModel } = data - const { openConfigModal } = useAiSetting() - - const getStatusIcon = (status: ModelStatus) => { - switch (status) { - case 'enabled': - return { icon: 'mdi:check-circle', color: 'text-green-500' } - case 'disabled': - return { icon: 'mdi:pause-circle', color: 'text-gray-400' } - case 'abnormal': - return { icon: 'mdi:alert-circle', color: 'text-red-500' } - } - } - - const statusConfig = getStatusIcon(status) - - return ( - <> -
- - -
-
-
-
- -
- {name} - -
- - {/* Action buttons */} -
- { - openConfigModal({ id: data.id, defaultLlm: defaultLlm } as AiSettingListItem) - }} - /> -
-
-
- {$t('默认：')} - {defaultLlm} -
-
-
- {status !== 'enabled' && alternativeModel && ( -
- {$t('关联 API 已转用')} {alternativeModel.name}/{alternativeModel.defaultLlm} -
- )} - - ) -} diff --git a/frontend/packages/core/src/pages/aiSetting/components/NodeComponents.tsx b/frontend/packages/core/src/pages/aiSetting/components/NodeComponents.tsx deleted file mode 100644 index e2626cc2..00000000 --- a/frontend/packages/core/src/pages/aiSetting/components/NodeComponents.tsx +++ /dev/null @@ -1,3 +0,0 @@ -export { KeyStatusNode } from './KeyStatusNode' -export { ModelCardNode } from './ModelCardNode' -export { ServiceCardNode } from './ServiceCardNode' diff --git a/frontend/packages/core/src/pages/aiSetting/components/ServiceCardNode.tsx b/frontend/packages/core/src/pages/aiSetting/components/ServiceCardNode.tsx deleted file mode 100644 index 176d80da..00000000 --- a/frontend/packages/core/src/pages/aiSetting/components/ServiceCardNode.tsx +++ /dev/null @@ -1,18 +0,0 @@ -import { Icon } from '@iconify/react' -import { Handle, NodeProps, Position } from '@xyflow/react' -import React from 'react' - -export const ServiceCardNode: React.FC = () => { - return ( -
- -
- - AI Services -
-
- ) -} diff --git a/frontend/packages/core/src/pages/aiSetting/contexts/AiSettingContext.tsx b/frontend/packages/core/src/pages/aiSetting/contexts/AiSettingContext.tsx index f8e078bd..ce71f5a7 100644 --- a/frontend/packages/core/src/pages/aiSetting/contexts/AiSettingContext.tsx +++ b/frontend/packages/core/src/pages/aiSetting/contexts/AiSettingContext.tsx @@ -1,45 +1,39 @@ import Icon from '@ant-design/icons' -import { BasicResponse, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' import { useGlobalContext } from '@common/contexts/GlobalStateContext' -import { useFetch } from '@common/hooks/http' import { $t } from '@common/locales' import { checkAccess } from '@common/utils/permission' import { App } from 'antd' import { createContext, useContext, useRef } from 'react' import AiSettingModalContent, { AiSettingModalContentHandle } from '../AiSettingModal' -import { AiSettingListItem, ModelDetailData } from '../types' +import { AiSettingListItem } from '../types' interface AiSettingContextType { - openConfigModal: (entity: AiSettingListItem) => Promise + openConfigModal: (entity?: AiSettingListItem, callback?: () => void) => Promise } const AiSettingContext = createContext(undefined) export const AiSettingProvider: React.FC<{ children: React.ReactNode }> = ({ children }) => { - const { modal, message } = App.useApp() - const { fetchData } = useFetch() + const { modal } = App.useApp() const { aiConfigFlushed, setAiConfigFlushed, accessData } = useGlobalContext() const modalRef = useRef() + const entityData = useRef(null) - const openConfigModal = async (entity: AiSettingListItem) => { - message.loading($t(RESPONSE_TIPS.loading)) - const { code, data, msg } = await fetchData>('ai/provider/config', { - method: 'GET', - eoParams: { provider: entity!.id }, - eoTransformKeys: ['get_apikey_url'] - }) - message.destroy() - if (code !== STATUS_CODE.SUCCESS) { - message.error(msg || $t(RESPONSE_TIPS.error)) - return + const openConfigModal = async (entity?: AiSettingListItem, callback?: () => void) => { + // 更新弹窗 + const updateEntityData = (data: any) => { + entityData.current = data + // 更新弹窗 + modalInstance.update({}) } - - modal.confirm({ + const modalInstance = modal.confirm({ title: $t('模型配置'), content: ( ), @@ -47,6 +41,7 @@ export const AiSettingProvider: React.FC<{ children: React.ReactNode }> = ({ chi return modalRef.current?.save().then((res) => { if (res === true) { setAiConfigFlushed(!aiConfigFlushed) + callback?.() } }) }, @@ -58,10 +53,10 @@ export const AiSettingProvider: React.FC<{ children: React.ReactNode }> = ({ chi - {$t('从 (0) 获取 API KEY', [data.provider.name])} + {$t('从 (0) 获取 API KEY', [entityData.current?.name])}
diff --git a/frontend/packages/core/src/pages/aiSetting/types.ts b/frontend/packages/core/src/pages/aiSetting/types.ts index 6ba2ea7a..920de61d 100644 --- a/frontend/packages/core/src/pages/aiSetting/types.ts +++ b/frontend/packages/core/src/pages/aiSetting/types.ts @@ -1,32 +1,42 @@ -export type ModelStatus = 'enabled' | 'abnormal'|'disabled' -export type KeyStatus ='normal' | 'abnormal'|'disabled' +export type ModelStatus = 'enabled' | 'abnormal' | 'disabled' +export type KeyStatus = 'normal' | 'abnormal' | 'disabled' +export type ModelDeployStatus = 'normal' | 'disabled' | 'deploying' | 'error' | 'deploying_error' | undefined export interface KeyData { id: string name: string - status: KeyStatus, + status: KeyStatus } export interface ModelListData { - id: string + id: string | undefined name: string logo: string - defaultLlm: string + defaultLlm: string | undefined + provider?: string + modelMode?: string status: ModelStatus - api_count: number - key_count: number + state?: ModelDeployStatus + apiCount: number + keyCount: number + isDisabled?: boolean keys: KeyData[] + canDelete: boolean } -export interface ModelDetailData extends ModelListData{ - enable:boolean - config: string, - priority?: number + +export interface AISettingEntityItem { + id: string | undefined + status?: ModelStatus | undefined + defaultLlm: string | undefined +} +export interface ModelDetailData extends ModelListData { + enable: boolean + config: string getApikeyUrl: string status: ModelStatus configured: boolean } - export type AiSettingListItem = { name: string id: string @@ -53,5 +63,3 @@ export type AiProviderDefaultConfig = { defaultLlm: string scopes: string[] } - - diff --git a/frontend/packages/core/src/pages/guide/AIModelGuide.tsx b/frontend/packages/core/src/pages/guide/AIModelGuide.tsx new file mode 100644 index 00000000..7b6145a8 --- /dev/null +++ b/frontend/packages/core/src/pages/guide/AIModelGuide.tsx @@ -0,0 +1,234 @@ +import restAPIPic from '@common/assets/restAPI.svg' +import onlineAIPic from '@common/assets/onlineAI.svg' +import localAIPic from '@common/assets/localAI.svg' +import { useGlobalContext } from '@common/contexts/GlobalStateContext' +import { $t } from '@common/locales' +import { Icon } from '@iconify/react/dist/iconify.js' +import { App } from 'antd' +import { Card } from 'antd' +import { useEffect, useRef, useState } from 'react' +import { useNavigate } from 'react-router-dom' +import AiSettingModalContent, { AiSettingModalContentHandle } from '../aiSetting/AiSettingModal' +import { checkAccess } from '@common/utils/permission' +import LocalAiDeploy, { LocalAiDeployHandle } from './LocalAiDeploy' +import useDeployLocalModel from './deployModelUtil' +import RestAIDeploy, { RestAIDeployHandle } from './RestAIDeploy' +import { BasicResponse, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' +import { useFetch } from '@common/hooks/http' + +export const AIModelGuide = () => { + const { message, modal } = App.useApp() + const entityData = useRef(null) + const navigateTo = useNavigate() + const { accessData } = useGlobalContext() + const modalRef = useRef() + const localAiDeployRef = useRef() + const restAiDeployRef = useRef() + const { deployLocalModel } = useDeployLocalModel() + const { fetchData } = useFetch() + const [ollamaAddress, setOllamaAddress] = useState('') + + const dumpServerPage = () => { + navigateTo('/service/list') + } + + /** + * rest 服务卡片点击事件 + */ + const restCardClick = async () => { + const permission = checkAccess('system.workspace.service.edit', accessData) + if (!permission) { + return message.warning($t('暂无权限')) + } + modal.confirm({ + title: $t('添加 Rest 服务'), + content: , + onOk: () => { + return restAiDeployRef.current?.deployRestAIServer().then((res) => { + if (res === true) { + dumpServerPage() + } + }) + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + + /** + * AI 模型配置弹窗 + */ + const aiCardClick = () => { + const permission = checkAccess('system.devops.ai_provider.edit', accessData) + if (!permission) { + return message.warning($t('暂无权限')) + } + // 更新弹窗 + const updateEntityData = (data: any) => { + entityData.current = data + // 更新弹窗 + modalInstance.update({}) + } + const modalInstance = modal.confirm({ + title: $t('模型配置'), + content: ( + + ), + onOk: () => { + return modalRef.current?.deployAIServer().then((res) => { + if (res === true) { + dumpServerPage() + } + }) + }, + width: 600, + okText: $t('确认'), + footer: (_, { OkBtn, CancelBtn }) => { + return ( +
+ + {$t('从 (0) 获取 API KEY', [entityData.current?.name])} + + +
+ + {checkAccess('system.devops.ai_provider.edit', accessData) ? : null} +
+
+ ) + }, + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + + + const getOllamaData = async () => { + const response = await fetchData>('model/local/source/ollama', { + method: 'GET' + }) + + if (response.code === STATUS_CODE.SUCCESS) { + setOllamaAddress(response.data?.config?.address || '') + } else { + message.error(response.msg || $t(RESPONSE_TIPS.error)) + } + } + + useEffect(() => { + getOllamaData() + }, []) + + /** + * 本地部署 AI 并生成 API + */ + const localModelCardClick = async () => { + const permission = checkAccess('system.devops.ai_provider.edit', accessData) + if (!permission) { + return message.warning($t('暂无权限')) + } + if (!ollamaAddress) { + navigateTo('/aisetting?status=unconfigure') + return + } + const modalInstance = modal.confirm({ + title: $t('部署本地模型'), + content: { + modalInstance.destroy() + dumpServerPage() + }}>, + onOk: () => { + return localAiDeployRef.current?.deployLocalAIServer().then((res) => { + if (res === true) { + dumpServerPage() + } + }) + }, + width: 600, + okText: $t('确认'), + cancelText: $t('取消'), + closable: true, + icon: <> + }) + } + const deployDeepSeek = async (e: any) => { + e.stopPropagation() + const permission = checkAccess('system.devops.ai_provider.edit', accessData) + if (!permission) { + return message.warning($t('暂无权限')) + } + if (!ollamaAddress) { + navigateTo('/aisetting?status=unconfigure') + return + } + await deployLocalModel({ + modelID: 'deepseek-r1' + }) + dumpServerPage() + } + + const cardList = [ + { + imgSrc: restAPIPic, + title: $t('添加 Rest 服务'), + description: $t('导入OpenAPI文档，将现有系统的API发布到APIPark。'), + click: restCardClick + }, + { + imgSrc: onlineAIPic, + title: $t('添加在线 AI API'), + description: $t('添加公有云AI模型的 API Key，通过APIPark 统一调用公有云的AI模型。'), + click: aiCardClick + }, + { + imgSrc: localAIPic, + title: $t('本地部署 AI 并生成 API'), + description: $t('快速在本地部署开源模型并自动生成 API。'), + click: localModelCardClick, + bottomRender: ( + + + {$t('部署')} Deepseek-R1 + + ) + } + ] + return ( + <> +

{$t('⚡您可快速通过以下方式开放API供大家使用：')}

+
+ {cardList.map((item, itemIndex) => ( + + +

{item.title}

+

{item.description}

+ {item.bottomRender ? item.bottomRender : null} + + ))} +
+ + ) +} diff --git a/frontend/packages/core/src/pages/guide/Guide.tsx b/frontend/packages/core/src/pages/guide/Guide.tsx index 9e79f2e8..d87c6e79 100644 --- a/frontend/packages/core/src/pages/guide/Guide.tsx +++ b/frontend/packages/core/src/pages/guide/Guide.tsx @@ -1,232 +1,327 @@ -import InsidePage from "@common/components/aoplatform/InsidePage" -import { useGlobalContext } from "@common/contexts/GlobalStateContext" -import { $t } from "@common/locales" -import { Icon } from "@iconify/react/dist/iconify.js" -import { Button, Card, Collapse } from "antd" -import { Dispatch, SetStateAction, useEffect, useState } from "react" -import { useLocation, useNavigate } from "react-router-dom" +import InsidePage from '@common/components/aoplatform/InsidePage' +import { useGlobalContext } from '@common/contexts/GlobalStateContext' +import { $t } from '@common/locales' +import { Icon } from '@iconify/react/dist/iconify.js' +import { Button, Card, Collapse } from 'antd' +import { Dispatch, SetStateAction, useEffect, useState } from 'react' +import { useLocation, useNavigate } from 'react-router-dom' +import { AIModelGuide } from './AIModelGuide' -export default function Guide(){ - const [showGuide, setShowGuide] = useState(localStorage.getItem('showGuide') !== 'false' ) - const [showAdvancedGuide, setShowAdvancedGuide] = useState(localStorage.getItem('showAdvancedGuide') !== 'false' ) - const [, forceUpdate] = useState(null); - const {state} = useGlobalContext() - const location = useLocation() - const currentUrl = location.pathname - const navigator = useNavigate() - const guideSections = [ +export default function Guide() { + const [showGuide, setShowGuide] = useState(localStorage.getItem('showGuide') !== 'false') + const [showAdvancedGuide, setShowAdvancedGuide] = useState(localStorage.getItem('showAdvancedGuide') !== 'false') + const [, forceUpdate] = useState(null) + const { state } = useGlobalContext() + const location = useLocation() + const currentUrl = location.pathname + const navigator = useNavigate() + const guideSections = [ + { + title: $t('快速接入 AI'), + items: [ { - title: $t('快速接入 AI'), - items: [ - { - title: $t("配置你的 AI 模型"), - description: $t('通过 APIPark 快速接入各种 AI 模型，使用统一的格式来调用API，并且可以随意切换模型。'), - link: 'https://docs.apipark.com/docs/system_setting/ai_model_providers' - }, - { - title: $t("创建 AI 服务和 API"), - description: $t('创建 AI 类型的服务，并且你可以将 Prompt 提示词设置为一个 API，简化使用 AI 的流程。'), - link: 'https://docs.apipark.com/docs/services/ai_services' - }, - { - title: $t("创建调用 Token"), - description: $t('为了安全地调用 API，你需要创建一个消费者以及Token。'), - link: 'https://docs.apipark.com/docs/consumers' - }, - { - title: $t("调用"), - description: $t('现在你可以通过 Token 来调用这些 API。'), - link: 'https://docs.apipark.com/docs/call_api' - } - ] + title: $t('配置你的 AI 模型'), + description: $t('通过 APIPark 快速接入各种 AI 模型，使用统一的格式来调用API，并且可以随意切换模型。'), + link: 'https://docs.apipark.com/docs/system_setting/ai_model_providers' }, { - title: $t('快速接入 REST API'), - items: [ - { - title: $t("创建 REST 服务和 API"), - description: $t('创建 AI 类型的服务，并且你可以将 Prompt 提示词设置为一个 API，简化使用 AI 的流程。'), - link: 'https://docs.apipark.com/docs/services/rest_services' - }, - { - title: $t("创建调用 Token"), - description: $t('为了安全地调用 API，你需要创建一个消费者以及Token。'), - link: 'https://docs.apipark.com/docs/consumers' - }, - { - title: $t("调用"), - description: $t('现在你可以通过 Token 来调用这些 API。'), - link: 'https://docs.apipark.com/docs/call_api' - } - ] + title: $t('创建 AI 服务和 API'), + description: $t('创建 AI 类型的服务，并且你可以将 Prompt 提示词设置为一个 API，简化使用 AI 的流程。'), + link: 'https://docs.apipark.com/docs/services/ai_services' }, { - title: $t('仪表盘'), - items: [ - { - title: $t("统计 API 调用情况"), - description: $t('仪表盘中提供了多种统计图表，帮助我们了解 API 的运行情况。'), - link: 'https://docs.apipark.com/docs/analysis' - } - ] + title: $t('创建调用 Token'), + description: $t('为了安全地调用 API，你需要创建一个消费者以及Token。'), + link: 'https://docs.apipark.com/docs/consumers' + }, + { + title: $t('调用'), + description: $t('现在你可以通过 Token 来调用这些 API。'), + link: 'https://docs.apipark.com/docs/call_api' } - ]; - const advanceGuideSections = [ + ] + }, + { + title: $t('快速接入 REST API'), + items: [ { - title: $t('核心功能'), - items: [ - { - title: $t("账号与角色"), - description: $t('邀请你的团队成员加入 APIPark，共同管理和调用 API。'), - link: 'https://docs.apipark.com/docs/system_setting/account_role' - }, - { - title: $t("团队"), - description: $t('团队中包含了人员、消费者和服务，不同团队之间的消费者和服务数据是隔离的，可用于管理企业内部不同的部门/项目组/团队。'), - link: 'https://docs.apipark.com/docs/teams' - }, - { - title: $t("服务"), - description: $t('服务内包含一组 API，并且可以发布到 API 市场被其他团队使用。'), - link: 'https://docs.apipark.com/docs/category/-%E6%9C%8D%E5%8A%A1' - } - ] + title: $t('创建 REST 服务和 API'), + description: $t('创建 AI 类型的服务，并且你可以将 Prompt 提示词设置为一个 API，简化使用 AI 的流程。'), + link: 'https://docs.apipark.com/docs/services/rest_services' }, { - title: $t('权限管理'), - items: [ - { - title: $t("订阅服务"), - description: $t('如果需要调用某个服务的 API，需要先订阅该服务，并且等待提供服务的团队审核后才可发起 API 请求。'), - link: 'https://docs.apipark.com/docs/developer_portal' - }, - { - title: $t("审核订阅申请"), - description: $t('提供服务的团队可以审核来自其他团队的订阅申请，审核通过后的消费者才可发起 API 请求。'), - link: 'https://docs.apipark.com/docs/services/review_consumers' - } - ] + title: $t('创建调用 Token'), + description: $t('为了安全地调用 API，你需要创建一个消费者以及Token。'), + link: 'https://docs.apipark.com/docs/consumers' }, { - title: $t('集成'), - items: [ - { - title: $t("日志"), - description: $t('APIPark 提供详尽的 API 调用日志，帮助企业监控、分析和审计 API 的运行状况。'), - link: 'https://docs.apipark.com/docs/system_setting/log/' - } - ] + title: $t('调用'), + description: $t('现在你可以通过 Token 来调用这些 API。'), + link: 'https://docs.apipark.com/docs/call_api' } - ]; - useEffect(()=>{ - localStorage.setItem('showGuide', showGuide.toString()) - },[showGuide]) - useEffect(()=>{ - localStorage.setItem('showAdvancedGuide', showAdvancedGuide.toString()) - },[showAdvancedGuide]) - - useEffect(()=>{ - if(currentUrl === '/guide'){ - setTimeout(()=>{ - navigator('/guide/page') - },0) + ] + }, + { + title: $t('仪表盘'), + items: [ + { + title: $t('统计 API 调用情况'), + description: $t('仪表盘中提供了多种统计图表，帮助我们了解 API 的运行情况。'), + link: 'https://docs.apipark.com/docs/analysis' } - },[]) - useEffect(()=>{forceUpdate({})},[state.language]) - return ( - - 👋 - {$t('Hello！欢迎使用 APIPark')} - -
} - description={
-

{$t("你能通过 APIPark 快速在企业内部构建 API 开放门户/市场，享受极致的转发性能、API 可观测、服务治理、多租户管理、订阅审核流程等诸多好处。")}

-

{$t("如果你喜欢我们的产品，欢迎给我们 Star 或提供产品反馈意见。")}

-
} - showBorder={false} - scrollPage={false} - contentClassName=" w-full pr-PAGE_INSIDE_X pb-PAGE_INSIDE_B" - > -
- {showGuide && - -

- 🚀{`${$t('快速入门')}`}

-

{$t("我们提供了一些任务来帮你快速了解 APIPark")}

, - children: }]} - />} - {showAdvancedGuide && - -

- 🏍️{`${$t('进阶教程')}`}

-

{$t("了解 APIPark 如何更好地管理 API 和 AI")}

, - children: }]} - />} -
- - ) + ] + } + ] + const advanceGuideSections = [ + { + title: $t('核心功能'), + items: [ + { + title: $t('账号与角色'), + description: $t('邀请你的团队成员加入 APIPark，共同管理和调用 API。'), + link: 'https://docs.apipark.com/docs/system_setting/account_role' + }, + { + title: $t('团队'), + description: $t( + '团队中包含了人员、消费者和服务，不同团队之间的消费者和服务数据是隔离的，可用于管理企业内部不同的部门/项目组/团队。' + ), + link: 'https://docs.apipark.com/docs/teams' + }, + { + title: $t('服务'), + description: $t('服务内包含一组 API，并且可以发布到 API 市场被其他团队使用。'), + link: 'https://docs.apipark.com/docs/category/-%E6%9C%8D%E5%8A%A1' + } + ] + }, + { + title: $t('权限管理'), + items: [ + { + title: $t('订阅服务'), + description: $t( + '如果需要调用某个服务的 API，需要先订阅该服务，并且等待提供服务的团队审核后才可发起 API 请求。' + ), + link: 'https://docs.apipark.com/docs/developer_portal' + }, + { + title: $t('审核订阅申请'), + description: $t('提供服务的团队可以审核来自其他团队的订阅申请，审核通过后的消费者才可发起 API 请求。'), + link: 'https://docs.apipark.com/docs/services/review_consumers' + } + ] + }, + { + title: $t('集成'), + items: [ + { + title: $t('日志'), + description: $t('APIPark 提供详尽的 API 调用日志，帮助企业监控、分析和审计 API 的运行状况。'), + link: 'https://docs.apipark.com/docs/system_setting/log/' + } + ] + } + ] + useEffect(() => { + localStorage.setItem('showGuide', showGuide.toString()) + }, [showGuide]) + useEffect(() => { + localStorage.setItem('showAdvancedGuide', showAdvancedGuide.toString()) + }, [showAdvancedGuide]) + + useEffect(() => { + if (currentUrl === '/guide') { + setTimeout(() => { + navigator('/guide/page') + }, 0) + } + }, []) + useEffect(() => { + forceUpdate({}) + }, [state.language]) + return ( + + 👋 + {$t('Hello！欢迎使用 APIPark')} +
+ } + description={ +
+

+ 🦄 APIPark + {$t( + '是开源的一站式 AI 网关与 API 门户，可快速接入 OpenAI/DeepSeek 等各类 AI 模型，通过统一请求格式避免模型切换对业务造成影响，提供企业级 API 安全防护（鉴权/限流/敏感词过滤）与实时用量监控，支持团队内 API 共享协作，管理接口订阅授权并保证您的API安全。' + )} +

+

+ {$t('✨ 欢迎在 Github 为我们 Star 或提供产品反馈意见。')} + + {$t('点击这里')} + +   + +   + + + + + +   + +   + + {$t('点击')} +   + + + + Star + +

+
+ } + showBorder={false} + scrollPage={false} + scrollInsidePage={true} + customPadding={true} + headerClassName="pt-[30px] pl-[40px]" + contentClassName=" w-full pr-PAGE_INSIDE_X pb-PAGE_INSIDE_B pl-[40px]" + > + +
+ {showGuide && ( + +

+ 🚀 + {`${$t('快速入门')}`}{' '} +

+

{$t('我们提供了一些任务来帮你快速了解 APIPark')}

+
+ ), + children: + } + ]} + /> + )} + {showAdvancedGuide && ( + +

+ 🏍️ + {`${$t('进阶教程')}`}{' '} +

+

{$t('了解 APIPark 如何更好地管理 API 和 AI')}

+
+ ), + children: ( + + ) + } + ]} + /> + )} +
+ + ) } -const QuickGuideContent = ({changeGuideShow,guideSections}:{changeGuideShow:Dispatch>,guideSections: { - title: string; +const QuickGuideContent = ({ + changeGuideShow, + guideSections +}: { + changeGuideShow: Dispatch> + guideSections: { + title: string items: { - title: string; - description: string; - link: string; - }[]; -}[]})=>{ - - - return (<> -
- {guideSections.map((section, index) => ( -
-

- - {section.title} -

-
-
- {section.items.map((item, itemIndex) => ( - { window.open(item.link, '_blank') }} - > - {item.description} - - ))} -
-
-
- ))} -

- -

- - -
-

-
- ) -} \ No newline at end of file + title: string + description: string + link: string + }[] + }[] +}) => { + return ( + <> +
+ {guideSections.map((section, index) => ( +
+

+ + {section.title} +

+
+
+ {section.items.map((item, itemIndex) => ( + { + window.open(item.link, '_blank') + }} + > + {item.description} + + ))} +
+
+
+ ))} +
+ +
+ + +
+
+
+ + ) +} diff --git a/frontend/packages/core/src/pages/guide/LocalAiDeploy.tsx b/frontend/packages/core/src/pages/guide/LocalAiDeploy.tsx new file mode 100644 index 00000000..e131687b --- /dev/null +++ b/frontend/packages/core/src/pages/guide/LocalAiDeploy.tsx @@ -0,0 +1,197 @@ +import { Icon } from '@iconify/react/dist/iconify.js' +import WithPermission from '@common/components/aoplatform/WithPermission' +import { BasicResponse, PLACEHOLDER, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' +import { Form, message, Select } from 'antd' +import { $t } from '@common/locales' +import { LocalModelItem, SimpleTeamItem } from '@common/const/type' +import { useFetch } from '@common/hooks/http' +import { forwardRef, useEffect, useImperativeHandle, useState } from 'react' +import useDeployLocalModel from './deployModelUtil' +export type LocalAiDeployHandle = { + deployLocalAIServer: () => Promise +} +const LocalAiDeploy = forwardRef((props: any, ref: any) => { + const { onClose } = props + const [form] = Form.useForm() + const { fetchData } = useFetch() + const [modelList, setModelList] = useState([]) + const [tagList, setTagList] = useState([]) + const [teamList, setTeamList] = useState([]) + const { deployLocalModel, getTeamOptionList } = useDeployLocalModel() + + /** + * 获取本地模型列表 + * @returns 本地模型列表 + */ + const getLocalModelList = async (keyword?: string) => { + const response = await fetchData>('model/local/can_deploy', { + method: 'GET', + eoTransformKeys: ['is_popular'], + ...(keyword ? { eoParams: { keyword } } : {}) + }) + const { code, data, msg } = response + if (code === STATUS_CODE.SUCCESS) { + if (!keyword) { + const modelList = data.models?.map((x: LocalModelItem) => { + return { ...x, label: x.name, value: x.id } + }) + setModelList(modelList) + } else { + const tagList = data.models?.map((x: LocalModelItem) => { + return { ...x, label: x.name, value: x.id } + }) + setTagList(tagList) + if (tagList.length) { + form.setFieldValue('model', tagList[0].id) + } + } + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + return [] + } + } + + /** + * 部署热门模型 + * @param id 模型ID + * @returns + */ + const deployPopularModel = async (id: string) => { + const response = await deployLocalModel({ + modelID: id + }) + if (response.code !== STATUS_CODE.SUCCESS) { + return + } + onClose?.() + } + + const getTeamList = async () => { + const teamOptionList = await getTeamOptionList() + setTeamList(teamOptionList) + if (form.getFieldValue('team') === undefined && teamOptionList.length) { + form.setFieldValue('team', teamOptionList[0].value) + } + } + useEffect(() => { + getLocalModelList() + getTeamList() + }, []) + + /** + * 部署本地AI + * @returns + */ + const deployLocalAIServer = () => { + return new Promise((resolve, reject) => { + form + .validateFields() + .then(async (value) => { + const response = await deployLocalModel({ + modelID: value.model, + team: value.team + }) + if (response.code !== STATUS_CODE.SUCCESS) { + return + } + resolve(true) + }) + .catch((errorInfo) => reject(errorInfo)) + }) + } + + useImperativeHandle(ref, () => ({ + deployLocalAIServer + })) + return ( + +
+ + +
+ + {$t('热点模型')} +
+
+ {modelList.length + ? modelList + .filter((item) => item.isPopular) + .map((item) => ( + { + deployPopularModel(item.id) + }} + > + {item.name}({item.size}) + + )) + : null} +
+ + + + + + + +
+ + ) +}) + +export default LocalAiDeploy diff --git a/frontend/packages/core/src/pages/guide/RestAIDeploy.tsx b/frontend/packages/core/src/pages/guide/RestAIDeploy.tsx new file mode 100644 index 00000000..8dfad314 --- /dev/null +++ b/frontend/packages/core/src/pages/guide/RestAIDeploy.tsx @@ -0,0 +1,122 @@ +import { Icon } from '@iconify/react/dist/iconify.js' +import WithPermission from '@common/components/aoplatform/WithPermission' +import { BasicResponse, PLACEHOLDER, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' +import { Upload, UploadProps, Form, message, Select } from 'antd' +import { $t } from '@common/locales' +import { SimpleTeamItem } from '@common/const/type' +import { useFetch } from '@common/hooks/http' +import { forwardRef, useEffect, useImperativeHandle, useState } from 'react' +import useDeployLocalModel from './deployModelUtil' + +const { Dragger } = Upload +export type RestAIDeployHandle = { + deployRestAIServer: () => Promise +} +const RestAIDeploy = forwardRef((props: any, ref: any) => { + const [form] = Form.useForm() + const { fetchData } = useFetch() + const [teamList, setTeamList] = useState([]) + const { getTeamOptionList } = useDeployLocalModel() + + const uploadProps: UploadProps = { + accept: '.json,.yaml', + name: 'file', + multiple: false, + maxCount: 1, + beforeUpload: (file) => { + form.setFieldsValue({ key: file }) + return false + } + } + const getTeamList = async () => { + const teamOptionList = await getTeamOptionList() + setTeamList(teamOptionList) + if (form.getFieldValue('team') === undefined && teamOptionList.length) { + form.setFieldValue('team', teamOptionList[0].value) + } + } + useEffect(() => { + getTeamList() + }, []) + + /** + * 部署 rest 服务 + * @param file + * @returns + */ + const deployRestServer = async (file: File) => { + return new Promise((resolve, reject) => { + const formData = new FormData() + formData.append('file', file) + formData.append('type', 'swagger') + formData.append('team', form.getFieldValue('team')) + fetchData>('quick/service/rest', { + method: 'POST', + body: formData + }).then((response) => { + const { code, msg } = response + if (code === STATUS_CODE.SUCCESS) { + message.success(msg || $t(RESPONSE_TIPS.success)) + resolve(true) + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + reject(false) + } + }) + }) + } + + /** + * 部署本地AI + * @returns + */ + const deployRestAIServer = () => { + return new Promise((resolve, reject) => { + form + .validateFields() + .then(async (value) => { + await deployRestServer(value.key.file) + resolve(true) + }) + .catch((errorInfo) => reject(errorInfo)) + }) + } + + useImperativeHandle(ref, () => ({ + deployRestAIServer + })) + return ( + +
+ + +

+ +

+

{$t('选择 OpenAPI 文件 (.json / .yaml)')}

+ + + + + +
+ + ) +}) + +export default RestAIDeploy diff --git a/frontend/packages/core/src/pages/guide/deployModelUtil.ts b/frontend/packages/core/src/pages/guide/deployModelUtil.ts new file mode 100644 index 00000000..a0477234 --- /dev/null +++ b/frontend/packages/core/src/pages/guide/deployModelUtil.ts @@ -0,0 +1,54 @@ +// deployModelUtil.ts +import { useFetch } from '@common/hooks/http' +import { message } from 'antd' +import { STATUS_CODE, RESPONSE_TIPS, BasicResponse } from '@common/const/const' +import { $t } from '@common/locales' +import { MemberItem, SimpleTeamItem } from '@common/const/type' +import { useGlobalContext } from '@common/contexts/GlobalStateContext' + +const useDeployLocalModel = () => { + const { fetchData } = useFetch() + const { checkPermission } = useGlobalContext() + const deployLocalModel = async (value: { modelID: string; team?: number }) => { + const response = await fetchData>( + 'model/local/deploy/start', + { + method: 'POST', + eoBody: { + model: value.modelID, + team: value?.team + } + } + ) + const { code, msg } = response + if (code === STATUS_CODE.SUCCESS) { + message.success(msg || $t(RESPONSE_TIPS.success)) + return response + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + } + } + /** + * 获取 team 选项列表 + * @returns + */ + const getTeamOptionList = async (): any[] => { + const response = await fetchData>( + !checkPermission('system.workspace.team.view_all') ? 'simple/teams/mine' : 'simple/teams', + { method: 'GET', eoTransformKeys: [] } + ) + const { code, data, msg } = response + if (code === STATUS_CODE.SUCCESS) { + const teamOptionList = data.teams?.map((x: MemberItem) => { + return { ...x, label: x.name, value: x.id } + }) + return teamOptionList + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + return [] + } + } + return { deployLocalModel, getTeamOptionList } +} + +export default useDeployLocalModel diff --git a/frontend/packages/core/src/pages/keySettings/index.tsx b/frontend/packages/core/src/pages/keySettings/index.tsx index 3f05d620..67458589 100644 --- a/frontend/packages/core/src/pages/keySettings/index.tsx +++ b/frontend/packages/core/src/pages/keySettings/index.tsx @@ -338,10 +338,10 @@ const KeySettings: React.FC = () => { return ( - {$t('支持单个 API 模型供应商下创建多个 APIKey APIKey 进行智能负载均衡')} + {$t('支持单个 API 模型供应商下创建多个 API Key 进行智能负载均衡')}
((props, ref: any) => { + const [form] = Form.useForm() + const [modelProviderLoading, setModelProviderLoading] = useState(false) + const [modelProviderData, setModelProviderData] = useState([]) + const [llmList, setLlmList] = useState() + const [modelType, setModelType] = useState<'online' | 'local'>('online') + const { message } = App.useApp() + const [llmListLoading, setLlmListLoading] = useState(false) + const { fetchData } = useFetch() + + const [modelTypeList] = useState([ + { + label: $t('线上模型'), + value: 'online' + }, + { + label: $t('本地模型'), + value: 'local' + } + ]) + + /** + * 获取 llm 列表 + * @param id + */ + const getLlmList = (id?: string) => { + setLlmListLoading(true) + fetchData>(`ai/provider/llms`, { + method: 'GET', + eoParams: { provider: id }, + eoTransformKeys: ['default_llm'] + }) + .then((response) => { + const { code, data, msg } = response + if (code === STATUS_CODE.SUCCESS) { + setLlmList(data.llms) + form.setFieldValue('model', data.provider?.defaultLlm) + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + } + }) + .finally(() => { + setLlmListLoading(false) + }) + } + + /** + * 重置表单数据 + * @param e + */ + const resetFormData = (e = 'online') => { + form.setFieldValue('type', e) + form.setFieldValue('model', '') + form.setFieldValue('provider', '') + setModelProviderData([]) + setLlmList([]) + setModelType(e as 'online' | 'local') + } + + /** + * 切换模型类型 + * @param e + */ + const modelTypeChange = (e: string) => { + resetFormData(e) + if (e === 'online') { + setModelProviderLoading(true) + fetchData('simple/ai/providers/configured', { + method: 'GET', + eoTransformKeys: ['default_llm'] + }) + .then((response) => { + const mockApiResponse: ApiResponse = response as ApiResponse + const providers = mockApiResponse.data.providers || [] + setModelProviderData(providers) + if (providers.length) { + const id = providers[0].id + form.setFieldValue('provider', id) + getLlmList(id) + } + }) + .finally(() => { + setModelProviderLoading(false) + }) + } else { + setLlmListLoading(true) + fetchData('simple/ai/models/local/configured', { + method: 'GET' + }) + .then((response) => { + const models = response.data.models || [] + setLlmList(models) + if (models.length) { + const id = models[0].id + form.setFieldValue('model', id) + } + }) + .finally(() => { + setLlmListLoading(false) + }) + } + } + + /** + * 模型提供商变化 + * @param e + */ + const modelProviderChange = (e: string) => { + form.setFieldValue('modelProvider', e) + getLlmList(e) + } + + useEffect(() => { + modelTypeChange('online') + }, []) + + /** + * 保存 + */ + const save = () => { + return new Promise((resolve, reject) => { + form + .validateFields() + .then((values) => { + fetchData('ai/balance', { + method: 'POST', + eoBody: values + }) + .then((response) => { + const { code, msg } = response + if (code === STATUS_CODE.SUCCESS) { + message.success(msg || $t(RESPONSE_TIPS.success)) + resolve(true) + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + reject(msg || $t(RESPONSE_TIPS.error)) + } + }) + .catch((error) => { + reject(error) + }) + }) + .catch((errorInfo) => { + reject(errorInfo) + }) + }) + } + useImperativeHandle(ref, () => ({ + save + })) + + return ( +
+ label={$t('模型类型')} name="type" rules={[{ required: true }]}> + + + {modelType === 'online' && ( + label={$t('模型供应商')} name="provider" rules={[{ required: true }]}> + + + )} + + + + + ) +}) + +export default AddLoadBalancingModel diff --git a/frontend/packages/core/src/pages/loadBalancing/index.tsx b/frontend/packages/core/src/pages/loadBalancing/index.tsx new file mode 100644 index 00000000..3b89eb39 --- /dev/null +++ b/frontend/packages/core/src/pages/loadBalancing/index.tsx @@ -0,0 +1,303 @@ +import { ActionType } from '@ant-design/pro-components' +import InsidePage from '@common/components/aoplatform/InsidePage' +import PageList, { PageProColumns } from '@common/components/aoplatform/PageList' +import WithPermission from '@common/components/aoplatform/WithPermission' +import { BasicResponse, RESPONSE_TIPS, STATUS_CODE } from '@common/const/const' +import { useFetch } from '@common/hooks/http' +import { $t } from '@common/locales/index.ts' +import { App, Button, Typography } from 'antd' +import { useEffect, useRef, useState } from 'react' +import { LoadBalancingHandle, LoadBalancingItems } from './type' +import TableBtnWithPermission from '@common/components/aoplatform/TableBtnWithPermission' +import AddLoadBalancingModel from './AddModel' + +const LoadBalancingPage = () => { + const pageListRef = useRef(null) + const [searchWord, setSearchWord] = useState('') + const { modal, message } = App.useApp() + const [apiKeys, setApiKeys] = useState([]) + const addModelRef = useRef() + const statusEnum: Record = { + normal: { text: {$t('正常')} }, + abnormal: { text: {$t('异常')} } + } + + /** + * 请求数据 + */ + const { fetchData } = useFetch() + const addModel = () => { + modal.confirm({ + title: $t('添加模型'), + content: , + width: 600, + closable: true, + onOk: () => { + return addModelRef.current?.save().then((res) => { + if (res === true) { + pageListRef.current?.reload() + } + }) + }, + wrapClassName: 'ant-modal-without-footer', + okText: $t('确认'), + cancelText: $t('取消'), + icon: <> + }) + } + + /** + * 获取列表数据 + * @param dataType + * @returns + */ + const requestApis = () => { + return fetchData>(`ai/balances`, { + method: 'GET', + eoParams: { + keyword: searchWord + }, + eoTransformKeys: ['api_count', 'key_count'] + }) + .then((response) => { + const { code, data, msg } = response + if (code === STATUS_CODE.SUCCESS) { + setApiKeys(response.data.list) + // 保存数据 + return { + data: data.list, + total: data.total, + success: true + } + } else { + message.error(msg || $t(RESPONSE_TIPS.error)) + return { data: [], success: false } + } + }) + .catch(() => { + return { data: [], success: false } + }) + } + + /** + * 排序 + * @param beforeIndex + * @param afterIndex + * @param newDataSource + */ + const handleDragSortEnd = async (beforeIndex: number, afterIndex: number, newDataSource: LoadBalancingItems[]) => { + try { + let targetId + let sortDirection + + // Check if there's an item before afterIndex + if (afterIndex > 0) { + targetId = newDataSource[afterIndex - 1].id + sortDirection = 'after' + } else if (afterIndex < newDataSource.length - 1) { + // If no item before, use the item after + targetId = newDataSource[afterIndex + 1].id + sortDirection = 'before' + } + + const response = await fetchData>('ai/balance/sort', { + method: 'PUT', + eoBody: { + origin: apiKeys[beforeIndex].id, + target: targetId, + sort: sortDirection + } + }) + + if (response.code === STATUS_CODE.SUCCESS) { + message.success($t('排序成功')) + pageListRef.current?.reload() + } else { + message.error(response.msg || RESPONSE_TIPS.error) + // Revert the UI if API call fails + pageListRef.current?.reload() + } + } catch (error) { + message.error(RESPONSE_TIPS.error) + // Revert the UI if API call fails + pageListRef.current?.reload() + } + } + + /** + * 删除 + * @param id + */ + const handleDelete = (id: string) => { + fetchData>('ai/balance', { + method: 'DELETE', + eoParams: { + id + } + }) + .then((response) => { + const { code } = response + if (code === STATUS_CODE.SUCCESS) { + message.success($t('删除成功')) + pageListRef.current?.reload() + } else { + message.error(RESPONSE_TIPS.error) + } + }) + .catch((error) => { + message.error(RESPONSE_TIPS.error) + }) + } + + /** + * 设置表格列 + */ + const columns: PageProColumns[] = [ + { + title: '', + dataIndex: 'drag', + width: '40px' + }, + { + title: $t('优先级'), + dataIndex: 'priority', + width: 80, + ellipsis: true, + key: 'priority' + }, + { + title: $t('模型'), + dataIndex: ['provider', 'name'], + ellipsis: true, + key: 'provider', + render: (dom: React.ReactNode, record: LoadBalancingItems) => ( + + {record.provider?.name} / {record.model?.name} + + ) + }, + { + title: $t('类型'), + dataIndex: 'type', + width: 120, + ellipsis: true, + key: 'type', + render: (dom: React.ReactNode, record: LoadBalancingItems) => ( + {record.type === 'online' ? $t('线上模型') : $t('本地模型')} + ) + }, + { + title: $t('状态'), + dataIndex: 'state', + width: 80, + ellipsis: true, + key: 'state', + render: (dom: React.ReactNode, record: LoadBalancingItems) => ( + {statusEnum[record.state]?.text || '-'} + ) + }, + { + title: $t('Apis'), + dataIndex: 'apiCount', + ellipsis: true, + width: 80, + key: 'apiCount', + render: (dom: React.ReactNode, record: LoadBalancingItems) => ( + + + {record.apiCount || '0'} + + + ) + }, + { + title: $t('Keys'), + dataIndex: 'keyCount', + ellipsis: true, + width: 80, + key: 'keyCount', + render: (dom: React.ReactNode, record: LoadBalancingItems) => ( + + + {record.keyCount || '0'} + + + ) + }, + { + title: '', + key: 'option', + btnNums: 1, + width: 50, + fixed: 'right', + valueType: 'option', + render: (_: React.ReactNode, entity: any) => [ + handleDelete(entity.id as string)} + btnTitle={$t('删除')} + /> + ] + } + ] + + + return ( + <> + +
+ + + + ]} + request={() => requestApis()} + onSearchWordChange={(e) => { + setSearchWord(e.target.value) + }} + showPagination={true} + dragSortKey="drag" + onDragSortEnd={handleDragSortEnd} + searchPlaceholder={$t('请输入...')} + columns={columns} + /> +
+ + + ) +} +export default LoadBalancingPage diff --git a/frontend/packages/core/src/pages/loadBalancing/loadBalancingLayout.tsx b/frontend/packages/core/src/pages/loadBalancing/loadBalancingLayout.tsx new file mode 100644 index 00000000..196fc934 --- /dev/null +++ b/frontend/packages/core/src/pages/loadBalancing/loadBalancingLayout.tsx @@ -0,0 +1,16 @@ +import { useEffect } from 'react' +import { Outlet, useLocation, useNavigate } from 'react-router-dom' + +export default function LoadBalancingLayout() { + const location = useLocation() + const pathName = location.pathname + const navigator = useNavigate() + + useEffect(() => { + if (pathName === '/loadBalancing') { + const queryParams = new URLSearchParams(location.search).toString() + navigator(`/loadBalancing/list${queryParams ? `?${queryParams}` : ''}`) + } + }, [pathName]) + return +} diff --git a/frontend/packages/core/src/pages/loadBalancing/type.ts b/frontend/packages/core/src/pages/loadBalancing/type.ts new file mode 100644 index 00000000..48cb7a3c --- /dev/null +++ b/frontend/packages/core/src/pages/loadBalancing/type.ts @@ -0,0 +1,31 @@ +export interface LoadBalancingItems { + id: string + priority: string + provider: { + id: string + name: string + } + model: { + id: string + name: string + } + type: string + state: string + apiCount: string + keyCount: string +} + +export interface LoadModelDetailData { + type: string + provider: string + model: string +} +export interface LocalLlmType { + id: string + name: string + defaultConfig: string +} + +export type LoadBalancingHandle = { + save: () => Promise +} diff --git a/frontend/packages/core/src/pages/playground/index.tsx b/frontend/packages/core/src/pages/playground/index.tsx index 12f5ec43..12a1b689 100644 --- a/frontend/packages/core/src/pages/playground/index.tsx +++ b/frontend/packages/core/src/pages/playground/index.tsx @@ -1,7 +1,5 @@ 'use client' -import AIFlowChart from '../aiSetting/AIFlowChart' - export default function Playground() { - return + return