fix: Nsq returns no error directly after parsing JSON exceptionNsq returns no error directly after parsing JSON exception

# Conflicts:
#	frontend/packages/core/src/pages/aiApis/aiApisLayout.tsx
#	frontend/packages/core/src/pages/aiSetting/AIFlowChart.tsx
#	frontend/packages/core/src/pages/aiSetting/components/ModelCardNode.tsx

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -56,7 +56,7 @@ body:
           label: Environment
           description: Share your environment details. Reports without proper environment details will likely be closed.
           value: |
-              - ApiPark version:
+              - APINTO Dashboard version:
               - Operating system (run `uname -a`):
       validations:
           required: true

.github/workflows/release.yaml

@@ -25,7 +25,7 @@ jobs:
           echo "Build frontend..."
           cd ./frontend && pnpm run build
       - name: upload frontend release
-        uses: actions/upload-artifact@v4
+        uses: actions/upload-artifact@v3
         with:
           name: frontend-package
           path: frontend/dist
@@ -41,7 +41,7 @@ jobs:
       - name: Checkout  #Checkout代码
         uses: actions/checkout@v3
       - name: download frontend release
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v3
         with:
           name: frontend-package
           path: frontend/dist
@@ -71,15 +71,10 @@ jobs:
       - uses: actions/checkout@v3
 
       - name: download frontend release
-        uses: actions/download-artifact@v4
+        uses: actions/download-artifact@v3
         with:
           name: frontend-package
           path: frontend/dist
-          # 设置 QEMU 以支持多架构构建
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
       - name: Login Docker   #登录docker
         uses: docker/login-action@v1
         with:

.gitignore

@@ -4,8 +4,3 @@
 /build/
 /apipark
 .gitlab-ci.yml
-/.vscode/
-.air.toml
-/tmp/
-/work
-/cmd/

.gitlab-ci.yml

@@ -1,6 +1,6 @@
 variables:
-  PATH: /opt/go-1.23/go/bin/:/opt/node-1.22/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin
-  GOROOT: /opt/go-1.23/go
+  PATH: /opt/go-1.21/go/bin/:/opt/node/node/bin/:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/root/bin
+  GOROOT: /opt/go-1.21/go
   GOPROXY: https://goproxy.cn
   VERSION: $CI_COMMIT_SHORT_SHA
   APP: apipark
@@ -12,28 +12,38 @@ variables:
   NODE_OPTIONS: --max_old_space_size=8192
 
 stages:
-#  - notice
+  - notice
+  - prefix
   - build
   - deploy
   - webhook
-#
-#feishu-informer: # 飞书回调
-#  stage: notice
-#  variables:
-#    DIFF_URL: "$CI_MERGE_REQUEST_PROJECT_URL/-/merge_requests/$CI_MERGE_REQUEST_IID/diffs"
-#  rules:
-#    - if: $CI_PIPELINE_SOURCE=="merge_request_event" && $CI_COMMIT_BRANCH =~ "main-github-pro"
-#  script:
-#    - echo "merge request"
-#    - |
-#      curl -X POST -H "Content-Type: application/json" \
-#      -d "{\"msg_type\":\"text\",\"content\":{\"text\":\"项目：${CI_PROJECT_NAME}\\n提交人：${GITLAB_USER_NAME}\\n提交信息：${CI_MERGE_REQUEST_TITLE}\\n合并分支信息：${CI_MERGE_REQUEST_SOURCE_BRANCH_NAME} -> ${CI_MERGE_REQUEST_TARGET_BRANCH_NAME}\\n差异性地址：${DIFF_URL}\\n请及时review代码\"}}" \
-#      ${FEISHU_WEBHOOK}
+
+feishu-informer: # 飞书回调
+  stage: notice
+  variables:
+    DIFF_URL: "$CI_MERGE_REQUEST_PROJECT_URL/-/merge_requests/$CI_MERGE_REQUEST_IID/diffs"
+  rules:
+    - if: $CI_PIPELINE_SOURCE=="merge_request_event" && $CI_COMMIT_BRANCH =~ "main"
+  script:
+    - echo "merge request"
+    - |
+      curl -X POST -H "Content-Type: application/json" \
+      -d "{\"msg_type\":\"text\",\"content\":{\"text\":\"项目：${CI_PROJECT_NAME}\\n提交人：${GITLAB_USER_NAME}\\n提交信息：${CI_MERGE_REQUEST_TITLE}\\n合并分支信息：${CI_MERGE_REQUEST_SOURCE_BRANCH_NAME} -> ${CI_MERGE_REQUEST_TARGET_BRANCH_NAME}\\n差异性地址：${DIFF_URL}\\n请及时review代码\"}}" \
+      https://open.feishu.cn/open-apis/bot/v2/hook/1c334752-2874-41a1-8f1b-3060f2d46b6c
+
+prebuild:
+  stage: prefix
+  rules:
+    - if:  $CI_COMMIT_BRANCH == "main"
+  script:
+    - echo "prebuild"
+    - chmod +x ./scripts/prefix.sh
+    - ./scripts/prefix.sh
 
 builder:
   stage: build
   rules:
-    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+    - if: $CI_COMMIT_BRANCH == "main"
   script:
     - set -e
     - |
@@ -59,7 +69,7 @@ builder:
 deployer:
   stage: deploy
   rules:
-    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+    - if: $CI_COMMIT_BRANCH == "main"
   variables:
     APIPARK_GUEST_MODE: allow
     APIPARK_GUEST_ID: dklejrfbhjqwdh
@@ -69,20 +79,20 @@ deployer:
 success:
   stage: webhook
   rules:
-    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+    - if: $CI_COMMIT_BRANCH == "main"
   script:
     - |
       curl -X POST -H "Content-Type: application/json" \
       -d "{\"msg_type\":\"text\",\"content\":{\"text\":\"最近一次提交：${CI_COMMIT_TITLE}\\n提交人：${GITLAB_USER_NAME}\\n项目：${CI_PROJECT_NAME}\\n环境：${DEPLOY_DESC}\\n更新部署完成.\\n访问地址：${VIEW_ADDR}\\n工作流地址：${CI_PIPELINE_URL}\"}}" \
-      ${FEISHU_WEBHOOK}
+      https://open.feishu.cn/open-apis/bot/v2/hook/c3672932-4dfa-4989-8023-0128bae59338
   when: on_success
 failure:
   stage: webhook
   rules:
-    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+    - if: $CI_COMMIT_BRANCH == "main"
   script:
     - |
       curl -X POST -H "Content-Type: application/json" \
       -d "{\"msg_type\":\"text\",\"content\":{\"text\":\"最近一次提交：${CI_COMMIT_TITLE}\\n提交人：${GITLAB_USER_NAME}\\n项目：${CI_PROJECT_NAME}\\n环境：${DEPLOY_DESC}\\n更新部署失败，请及时到gitlab上查看\\n工作流地址：${CI_PIPELINE_URL}\"}}" \
-      ${FEISHU_WEBHOOK}
+      https://open.feishu.cn/open-apis/bot/v2/hook/c3672932-4dfa-4989-8023-0128bae59338
   when: on_failure

README.md

@@ -210,7 +210,7 @@ APIPark uses the Apache 2.0 License. For more details, please refer to the LICEN
 For enterprise-level features and professional technical support, contact our pre-sales experts for personalized demos, customized solutions, and pricing.
 
 - Website: https://apipark.com
-- Email: contact@apipark.com
+- Email: dev@apipark.com
 
 <br>
 

ai-provider/local/entity.go

@@ -1,22 +0,0 @@
-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"`
-}

ai-provider/local/executor.go

@@ -1,336 +0,0 @@
-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
-}

ai-provider/local/executor_test.go

@@ -1,80 +0,0 @@
-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})
-}

ai-provider/local/local.go

@@ -1,31 +0,0 @@
-package ai_provider_local
-
-import (
-	"net/http"
-	"net/url"
-
-	"github.com/ollama/ollama/api"
-)
-
-var (
-	client        *api.Client
-	ProviderLocal = "LocalModel"
-)
-
-func ResetLocalAddress(address string) error {
-	u, err := url.Parse(address)
-	if err != nil {
-		return err
-	}
-	client = api.NewClient(u, http.DefaultClient)
-	return nil
-}
-
-var (
-	LocalConfig = "{\n  \"temperature\": \"\",\n  \"top_p\": \"\",\n  \"max_tokens\": \"\"\n}"
-	LocalSvg    = `<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="50" height="50" viewBox="0 0 50 50">
-    <image id="椭圆_1_拷贝" data-name="椭圆 1 拷贝" x="5" y="4" width="42" height="38" xlink:href="data:img/png;base64,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"/>
-</svg>
-
-`
-)

ai-provider/local/model.go

@@ -1,70 +0,0 @@
-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]
-}

ai-provider/local/model_test.go

@@ -1,7 +0,0 @@
-package ai_provider_local
-
-import "testing"
-
-func TestModels(t *testing.T) {
-	t.Log(ModelsCanInstall())
-}

ai-provider/model-runtime/entity/provider.go

@@ -25,11 +25,6 @@ type Provider struct {
 	Address                  string                   `json:"address" yaml:"address"`
 	Recommend                bool                     `json:"recommend" yaml:"recommend"`
 	Sort                     int                      `json:"sort" yaml:"sort"`
-	ModelConfig              ModelConfig              `json:"model_config" yaml:"model_config"`
-}
-type ModelConfig struct {
-	AccessConfigurationStatus bool   `json:"access_configuration_status" yaml:"access_configuration_status"`
-	AccessConfigurationDemo   string `json:"access_configuration_demo" yaml:"access_configuration_demo"`
 }
 
 type ProviderCredentialSchema struct {

ai-provider/model-runtime/loader.go

@@ -6,6 +6,8 @@ import (
 	"fmt"
 	"strings"
 
+	"github.com/APIParkLab/APIPark/gateway"
+
 	"github.com/eolinker/eosc"
 )
 
@@ -34,10 +36,7 @@ func (c *Config) Check(cfg string) error {
 	if err != nil {
 		return err
 	}
-	if c.validator != nil {
-		return c.validator.Valid(data)
-	}
-	return nil
+	return c.validator.Valid(data)
 }
 
 func (c *Config) GenConfig(target string, origin string) (string, error) {
@@ -58,10 +57,6 @@ func (c *Config) GenConfig(target string, origin string) (string, error) {
 	if err != nil {
 		return "", err
 	}
-	if c.validator == nil {
-		c.validator = ParamValidator(nil)
-	}
-
 	return c.validator.GenConfig(targetData, originData)
 }
 
@@ -88,9 +83,6 @@ func Load() error {
 			continue
 		}
 		name := fmt.Sprintf("model-providers/%s", file.Name())
-		if file.Name() == "customize" {
-			continue
-		}
 		err = LoadProvider(name)
 		if err != nil {
 			return err
@@ -127,10 +119,10 @@ func LoadProvider(name string) error {
 	if err != nil {
 		return err
 	}
-	//gateway.RegisterDynamicResourceDriver(provider.ID(), gateway.Worker{
-	//	Profession: gateway.ProfessionAIProvider,
-	//	Driver:     provider.ID(),
-	//})
+	gateway.RegisterDynamicResourceDriver(provider.ID(), gateway.Worker{
+		Profession: gateway.ProfessionAIProvider,
+		Driver:     provider.ID(),
+	})
 	Register(provider.ID(), provider)
 	return nil
 }

ai-provider/model-runtime/manager.go

@@ -43,10 +43,6 @@ func Register(name string, driver IProvider) {
 	defaultManager.Set(name, driver)
 }
 
-func Remove(name string) {
-	defaultManager.Del(name)
-}
-
 func GetProvider(name string) (IProvider, bool) {
 	return defaultManager.Get(name)
 }

ai-provider/model-runtime/model-providers/authropic/anthropic.yaml

@@ -31,12 +31,12 @@ provider_credential_schema:
         en_US: Enter your API Key
     - variable: anthropic_api_url
       label:
-        en_US: https://api.anthropic.com/v1/
+        en_US: API URL
       type: text-input
       required: false
       placeholder:
         zh_Hans: 在此输入您的 API URL
         en_US: Enter your API URL
-address: https://api.anthropic.com/v1/
+address: https://api.anthropic.com
 recommend: true
 sort: 2

ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-haiku-20241022.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/authropic/llm/claude-3-5-sonnet-20241022.yaml

@@ -1,40 +0,0 @@
-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

ai-provider/model-runtime/model-providers/baichuan/baichuan.yaml

@@ -27,12 +27,4 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-    - variable: base_url
-      label:
-        en_US: https://api.baichuan-ai.com/v1
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://api.baichuan-ai.com/v1
+address: https://api.baichuan-ai.com

ai-provider/model-runtime/model-providers/bailian/assets/icon_s_en.svg

@@ -1 +0,0 @@
-<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" version="1.1" id="Layer_1" x="0px" y="0px" width="48px" height="48px" viewBox="0 0 48 48" enable-background="new 0 0 48 48" xml:space="preserve">  <image id="image0" width="48" height="48" x="0" y="0" xlink:href="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAAIGNIUk0AAHomAACAhAAA+gAAAIDo AAB1MAAA6mAAADqYAAAXcJy6UTwAAAAGYktHRAD/AP8A/6C9p5MAAAAJcEhZcwAAFiUAABYlAUlS JPAAAApPSURBVGje7VlrkFTFFf7O6Tu77AuWhygoKYXEREO0EFCjZbkUUUxSiiUOEB8RNPIookZB UBAZRR6iKIIJAaJYGDWyQVkrxgpWAoqgUUlIWRJiIr5IIChhhd1hd+b2+fLjzszOLrO7gBBNlV3V NXf6cfr7zut29wW+LJ9vkSMhZML42nlQ3gwgEBGIAKJRhcgWhrHvLlxY+uHRIKCfVcC4cfv6euN4 C/EaDTQjzJCrNJ6qLn33DTew+AtHIB6n86lwhnmshso1JHfQAJJgBB40wIxx52q//YUjUFlSewnA C9JeZixeXLkNHg9HwLPgJXomSj3k7qNB4LBjYOTID3qWFJWvdZTlv3i8y1wAGDWKHYqDPW9DpHd+ HKgKIIA6XF8UNDx3oLQyoPzA1nJ8sjeROKnhqBAYfcWuO6hyrdU1Dlyx+oTd2faxP9ozlOAzIqL5 JEQE6rBfFfUQQFSg2T4XBb6qQBRwCkDhIXg6FpbfmkhIqjUcweGAv2bEh308/XWg3pIPHgBSvmGj Q/H7quwNFcAymlKChhKDlIgCMII5/RFQgABEAKNACAgwISxK/h7Ac61hOawY8LSZZqkt+1MfP3+A ScPiYTT0NgPMM5OJmrKSeYAeIAHLBDmZjRs0C34QDp53JBKsPGIERg575yyP8GIRvbu6um8z044a 9V4ladNzwDJgLB8c2QSYgDGPRLYvv4ID07r3qiNCYMyYN2NEOANmT/T5xiNvtOy3xuIppPUEm2sW bEEiryIzDmxhFWOuXUSn3X77jmMKYSoYxJdf+vpg84yLOINqhqmAcF1V9IKY+NOeeOb07flzrh7x YV+obBAEHUUUqg4impeJosAt/NwU1OqaB7i6aJxA7rtnevnkdglcdtlrJ1jK1gkUEN0uEEAcoBkS YtWrnu3/05bzrhz53jhQh2WBO3EAHDQQSkYEROCEkEAoopFYaUq16gB1jDJWBJ6qSij7iKKjQfvN vqNsR6sESMol339pPqA/UUXN9h2lwzdtGpA+1Dg5kmXMGMa69tz3O1VN7q0sG7boRmnM728WAxdf 9Id+tHAE6cV8eOHx3fZc+HmCB4DOx+4dAcjZZrFJLcE3I9C//5sxQ3qc0XqSIYxW6oG74lUryw9t ySNXJiV2dhfKrTQsnZMo+luhMTkC3bp9cr63cLRZGt6nYZaG0fffV1Rx/edFAOnyKwwocz54EBC2 SQC+4U4yDIwhIgtEv4BNGjJkZZf/NfZp05K94P10T7t/1qySD1obl9tKeAt7i0QxTQgEAkIhkJ7C smkAJrYmJB7fWNK8pddBgayu7rW/tb56MnRkUs11BymQdixg5m8zS3uzjPtk3chCeEtde+GgZ/u3 tliYcqvDxiBpqeIk06VJ8bVJtbpkgP3JmITJYsdkSaDJ0qKiZHlxabKipCzZsazsxbbILZhdtgOC mYCNv2nKvpNbG5cjUBKGz9PCl8w8SA+jBxmC9CCtkg4Tq6rWdigkhB4JM6snPQgDma3MPRuZ+U+A TJqkJ6OdUtEh9aSR78RirVs/R+D5V67cQwsfMKYbzNKZOPAwi2KB5i8tcnsuLSQkVlK2ScR+GZ3E IuDIEMn/ze4dDLJq+fLur7ZHIJHoXkfR+UJeNnVq7RltEgCAtevff8G81Rg9vIWgZS3gQfoSMz+x qmp5ZUsh1dV9U9RgFsFdyLNAE/iM9qONzzaENru1rNKy1O1+5wWCr3jR2YkEi9okACTMc/9c0n+S zURmISK3CkHYAIfyEYUWqqk58yMI55MWuRGaXKaJDGmwpY891W1rIRkTJtQOHz9+d7MMsHTpgDTp plJw1n5fP7wdAsDGjRM2E34FzYNmkRsxhJmB9IDYnVVVK48r6ErFFT8DsA3Mj4MmC4B+syYblhSa e911H3Wh8SFVNy0eb67p+XMqtojJ46TdOnVq3bFtEgCAIJA5pP83GQJREOe5kvV0IjcXmldd3bfO U++0SP2IzlhNAS3APY+tPqm24JpaMYnEcQCv6tHjPwNa9qcldZ+oxFjEHycSzOEuSGDdurGfUDg7 Cxr52QUGwI8ZUrXyq4XmdupcvFrAtdH4fDfnKw32ek2hOddfs++bIrwuGiZlRndXyzEPzOr6kdAv JHFtMmz8WpsEAECkfjmNf4n83zKpNafNylDxAMkDtuOPP356fRDE7gaRigxhIPgpzSZVVw/3LcfH 4yyBS08j0T1zAgOI70y4cfcB/t7BdXoMwFYXpKblLNcagQ0bpuw75+yFjxL2EKkAFSJNVlC6IRcO /vUFANa0nPvxnk83dO5Y/qiQYyEQgNW/WnXyHwutU1Gx6zwgNpTM5KWM0Zy4e2+65dOhqoCqigSQ ZHqvqNMeEBnYrgX691/SyTP9w1wWYdYlokpYESEzzztv5QFHvXXrBoUmbhEEO0SwM6SbX2iNUaPe q1QLJgMojcye53DEiSCvAHAFYT8AbSQgIwCeIsDT7RJw7tOxNOufBZxVTZTPkW07s6S4aFSh+TU1 Z2whsNjAe1et+nrBtKm+c5yUwVmto603Q7ZPZHs6jM1tk8DAgfOOMx9OZt7rn9lT9wEL8baLqp49 sZCcuqR7sCHVbWmhvhtu2N2RsBnt4W7RaaTdP29m8bZsQ8EYoE9PhqCrSHTRlCvZl2feS5REF8Tc bQDGt1xuzZrT61vDlazFRJDHH8rloAg2NYbBSsnbmRYmIDKkSaxAJLO9pnwAwVwVV0dRKAQg4MHG qqq1bt26QeHBALn66n+d4s3fKOIyK7SFOvfQaMKHF8xufqgvSEAhNRA5NZqdkxAKbMH69aN/ftAq Kwh+Z5l43gpB5QEgo9+PReQ1iKSjKz0hxSCQV9/f2vGJlvIKEkj7DvNiQThcxPWJvrgoROQNNDRF /+EWSzUOcq7o8oKdBERlwaJFHecc7GavYBBv3nxzbeCC2SJKgYOIJkkuXr9p7I6DEdpaicff7SSq UwBUZF0zq30RAIptqm7ZwYJvlUDUw6dE5M/R7Zq+vHNXeuVn0z0Qg7tcKOdkIDd1ZEkYpy9aVPHx ochsM36qzl12dkh72WnRKtFgK1ShUAABFAoNihBoAGiAQKN2qEsFJk8+89tzmx3ER4/++zGp+thf 1QVdVQKoBhDVzG0cAGD9kmWdzxc5eO0D7XwfOKbnmjd27rwoQWCwiHRz0ZcJiEbH/eh0ZXCZS1ko EUC/wsB1TiQStyUSCcvKaqzXiSraFRkZkQvl9JgOFDMOFXy7FjicMmzoxnOIohr42JBnfnP6nwBg 5LC3+6krXa8alKk4qMaiy9/MZa4KlvXo1XlcIiF2qOsdcQLxOB3TmxeK6PF1b/1zRHm/ujCGAU+J ajznOhJAnWZvoLdLgO8tXdrlrcNZ74gTAIARl77Vh4IXxQU3wgUpR1ejGnRoIuBy1+ZOMWfJI12m Hu5an/lDd6Hy9OpvvQtxC0XcXWqYB2gHQDO5MpM+AUD4j/3p5PzPstZRIQAAdLYClF0iwWkiAhX1 AvUiEopISgR7aJyyYkXzj4Rflv+38l9KlbIj6CqimgAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyNC0x MC0xMFQxMDoxOTo0NSswMDowMMQaMdYAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjQtMTAtMTBUMTA6 MTk6NDUrMDA6MDC1R4lqAAAAKHRFWHRkYXRlOnRpbWVzdGFtcAAyMDI0LTEwLTEwVDEwOjE5OjQ1 KzAwOjAw4lKotQAAAABJRU5ErkJggg=="/>

ai-provider/model-runtime/model-providers/bailian/bailian.yaml

@@ -1,40 +0,0 @@
-provider: bailian
-label:
-  zh_Hans: 阿里云百炼
-  en_US: BaiLian
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  zh_Hans: icon_l_zh.svg
-  en_US: icon_l_en.svg
-background: "#EFF1FE"
-help:
-  title:
-    en_US: Get your API key from AliCloud
-    zh_Hans: 从阿里云百炼获取 API Key
-  url:
-    en_US: https://bailian.console.aliyun.com/?apiKey=1#/api-key
-supported_model_types:
-  - llm
-configurate_methods:
-  - predefined-model
-  - customizable-model
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: base_url
-      label:
-        en_US: https://dashscope.aliyuncs.com/compatible-mode/v1
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://dashscope.aliyuncs.com/compatible-mode/v1

ai-provider/model-runtime/model-providers/bedrock/bedrock.yaml

@@ -87,9 +87,6 @@ provider_credential_schema:
       placeholder:
         en_US: A model you have access to (e.g. amazon.titan-text-lite-v1) for validation.
         zh_Hans: 为了进行验证，请输入一个您可用的模型名称 (例如：amazon.titan-text-lite-v1)
-model_config:
-  access_configuration_status: true
-  access_configuration_demo: "{\"region\":\"\",\"model\":\"\"}"
 address: https://bedrock-runtime.amazonaws.com
 sort: 4
 recommend: true

ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-large-v1.0.yaml

@@ -1,26 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/ai21.jamba-1-5-mini-v1.0.yaml

@@ -1,26 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-lite-v1.yaml

@@ -1,53 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-micro-v1.yaml

@@ -1,52 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/amazon.nova-pro-v1.yaml

@@ -1,53 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-5-haiku-v1.yaml

@@ -1,60 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-3-sonnet-v2.yaml

@@ -1,60 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/eu.anthropic.claude-3-sonnet-v2.yaml

@@ -1,60 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-lite-v1.yaml

@@ -1,53 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-micro-v1.yaml

@@ -1,52 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.amazon.nova-pro-v1.yaml

@@ -1,53 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-5-haiku-v1.yaml

@@ -1,60 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.anthropic.claude-3-sonnet-v2.yaml

@@ -1,60 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-11b-instruct-v1.0.yaml

@@ -1,29 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-1b-instruct-v1.0.yaml

@@ -1,26 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-3b-instruct-v1.0.yaml

@@ -1,26 +0,0 @@
-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

ai-provider/model-runtime/model-providers/bedrock/llm/us.meta.llama3-2-90b-instruct-v1.0.yaml

@@ -1,31 +0,0 @@
-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

ai-provider/model-runtime/model-providers/chatglm/chatglm.yaml

@@ -18,20 +18,12 @@ configurate_methods:
   - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-    - variable: api_key
+    - variable: api_base
       label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: base_url
-      label:
-        en_US: https://open.bigmodel.cn/api/paas/v4/
+        en_US: API URL
       type: text-input
-      required: false
+      required: true
       placeholder:
         zh_Hans: 在此输入您的 API URL
         en_US: Enter your API URL
-address: https://open.bigmodel.cn/api/paas/v4/
+address: https://api.openai.com

ai-provider/model-runtime/model-providers/cohere/cohere.yaml

@@ -32,12 +32,4 @@ provider_credential_schema:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
       show_on: [ ]
-    - variable: base_url
-      label:
-        en_US: https://api.cohere.ai/compatibility/v1
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://api.cohere.ai/compatibility/v1
+address: https://api.cohere.com

ai-provider/model-runtime/model-providers/customize/assets/icon_l_en.svg

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ai-provider/model-runtime/model-providers/customize/assets/icon_l_zh.svg

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ai-provider/model-runtime/model-providers/customize/assets/icon_s_en.svg

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-    <image id="椭圆_1_拷贝" data-name="椭圆 1 拷贝" x="5" y="4" width="42" height="38" xlink:href="data:img/png;base64,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"/>
-</svg>

ai-provider/model-runtime/model-providers/deepseek/deepseek.yaml

@@ -30,12 +30,4 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-    - variable: base_url
-      label:
-        en_US: https://api.deepseek.com/v1
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://api.deepseek.com/v1
+address: https://api.deepseek.com

ai-provider/model-runtime/model-providers/deepseek/llm/deepseek-reasoner.yaml

@@ -1,21 +0,0 @@
-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

ai-provider/model-runtime/model-providers/fireworks/fireworks.yaml

@@ -28,12 +28,4 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-    - variable: base_url
-      label:
-        en_US: https://generativelanguage.googleapis.com/v1beta/openai
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://api.fireworks.ai/inference/v1
+address: https://api.fireworks.ai

ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-11b-vision-instruct.yaml

@@ -1,46 +0,0 @@
-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

ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-1b-instruct.yaml

@@ -1,46 +0,0 @@
-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

ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-3b-instruct.yaml

@@ -1,46 +0,0 @@
-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

ai-provider/model-runtime/model-providers/fireworks/llm/llama-v3p2-90b-vision-instruct.yaml

@@ -1,46 +0,0 @@
-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

ai-provider/model-runtime/model-providers/fireworks/llm/qwen2p5-72b-instruct.yaml

@@ -1,46 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/google.yaml

@@ -32,12 +32,12 @@ provider_credential_schema:
     - variable: google_api_base
       label:
         zh_Hans: API Base
-        en_US: https://generativelanguage.googleapis.com/v1beta/openai
+        en_US: API Base
       type: text-input
       required: false
       placeholder:
         zh_Hans: 在此输入您的 API Base, 如：https://api.google.com
         en_US: Enter your API Base, e.g. https://api.google.com
-address: https://generativelanguage.googleapis.com/v1beta/openai
+address: https://generativelanguage.googleapis.com
 recommend: true
 sort: 3

ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-001.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-002.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash-8b-exp-0924.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-flash.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-001.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro-002.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-1.5-pro.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-001.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-exp.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-lite-preview-02-05.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-01-21.yaml

@@ -1,39 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-flash-thinking-exp-1219.yaml

@@ -1,39 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-2.0-pro-exp-02-05.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1114.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1121.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/gemini-exp-1206.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/google/llm/learnlm-1.5-pro-experimental.yaml

@@ -1,41 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/groq.yaml

@@ -30,12 +30,4 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-    - variable: base_url
-      label:
-        en_US: https://api.groq.com/openai/v1
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://api.groq.com/openai/v1
+address: https://api.groq.com

ai-provider/model-runtime/model-providers/groq/llm/deepseek-r1-distill-llama-70b.yaml

@@ -1,36 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/gemma-7b-it.yaml

@@ -1,37 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/gemma2-9b-it.yaml

@@ -1,37 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-text-preview.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-11b-vision-preview.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-1b-preview.yaml

@@ -1,37 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-3b-preview.yaml

@@ -1,37 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-text-preview.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/groq/llm/llama-3.2-90b-vision-preview.yaml

@@ -1,38 +0,0 @@
-model: llama-3.2-90b-vision-preview
-label:
-  zh_Hans: Llama 3.2 90B Vision (Preview)
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ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-specdec.yaml

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ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-versatile.yaml

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ai-provider/model-runtime/model-providers/groq/llm/llama-guard-3-8b.yaml

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ai-provider/model-runtime/model-providers/groq/llm/llama3-groq-70b-8192-tool-use-preview.yaml

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-</svg>

ai-provider/model-runtime/model-providers/huggingface_hub/huggingface_hub.yaml

@@ -1,121 +0,0 @@
-provider: huggingface_hub
-label:
-  en_US: Hugging Face Model
-icon_small:
-  en_US: icon_s_en.svg
-icon_large:
-  en_US: icon_l_en.svg
-background: "#FFF8DC"
-help:
-  title:
-    en_US: Get your API key from Hugging Face Hub
-    zh_Hans: 从 Hugging Face Hub 获取 API Key
-  url:
-    en_US: https://huggingface.co/settings/tokens
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-  credential_form_schemas:
-    - variable: huggingfacehub_api_type
-      label:
-        en_US: Endpoint Type
-        zh_Hans: 端点类型
-      type: radio
-      required: true
-      default: hosted_inference_api
-      options:
-        - value: hosted_inference_api
-          label:
-            en_US: Hosted Inference API
-        - value: inference_endpoints
-          label:
-            en_US: Inference Endpoints
-    - variable: huggingfacehub_api_token
-      label:
-        en_US: API Token
-        zh_Hans: API Token
-      type: secret-input
-      required: true
-      placeholder:
-        en_US: Enter your Hugging Face Hub API Token here
-        zh_Hans: 在此输入您的 Hugging Face Hub API Token
-    - variable: huggingface_namespace
-      label:
-        en_US: 'User Name / Organization Name'
-        zh_Hans: '用户名 / 组织名称'
-      type: text-input
-      required: true
-      placeholder:
-        en_US: 'Enter your User Name / Organization Name here'
-        zh_Hans: '在此输入您的用户名 / 组织名称'
-      show_on:
-        - variable: __model_type
-          value: text-embedding
-        - variable: huggingfacehub_api_type
-          value: inference_endpoints
-    - variable: huggingfacehub_endpoint_url
-      label:
-        en_US: Endpoint URL
-        zh_Hans: 端点 URL
-      type: text-input
-      required: true
-      placeholder:
-        en_US: Enter your Endpoint URL here
-        zh_Hans: 在此输入您的端点 URL
-      show_on:
-        - variable: huggingfacehub_api_type
-          value: inference_endpoints
-    - variable: task_type
-      label:
-        en_US: Task
-        zh_Hans: Task
-      type: select
-      options:
-        - value: text2text-generation
-          label:
-            en_US: Text-to-Text Generation
-          show_on:
-            - variable: __model_type
-              value: llm
-        - value: text-generation
-          label:
-            en_US: Text Generation
-            zh_Hans: 文本生成
-          show_on:
-            - variable: __model_type
-              value: llm
-        - value: feature-extraction
-          label:
-            en_US: Feature Extraction
-          show_on:
-            - variable: __model_type
-              value: text-embedding
-      show_on:
-        - variable: huggingfacehub_api_type
-          value: inference_endpoints
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: api_key
-      label:
-        en_US: API Key
-      type: secret-input
-      required: true
-      placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: base_url
-      label:
-        en_US: https://router.huggingface.co/hf-inference/v1
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://router.huggingface.co/hf-inference/v1

ai-provider/model-runtime/model-providers/hunyuan/hunyuan.yaml

@@ -23,36 +23,20 @@ configurate_methods:
   - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-#    - variable: secret_id
-#      label:
-#        en_US: Secret ID
-#      type: secret-input
-#      required: true
-#      placeholder:
-#        zh_Hans: 在此输入您的 Secret ID
-#        en_US: Enter your Secret ID
-#    - variable: secret_key
-#      label:
-#        en_US: Secret Key
-#      type: secret-input
-#      required: true
-#      placeholder:
-#        zh_Hans: 在此输入您的 Secret Key
-#        en_US: Enter your Secret Key
-    - variable: api_key
+    - variable: secret_id
       label:
-        en_US: API Key
+        en_US: Secret ID
       type: secret-input
       required: true
       placeholder:
-        zh_Hans: 在此输入您的 API Key
-        en_US: Enter your API Key
-    - variable: base_url
+        zh_Hans: 在此输入您的 Secret ID
+        en_US: Enter your Secret ID
+    - variable: secret_key
       label:
-        en_US: https://api.hunyuan.cloud.tencent.com/v1
-      type: text-input
-      required: false
+        en_US: Secret Key
+      type: secret-input
+      required: true
       placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://api.hunyuan.cloud.tencent.com/v1
+        zh_Hans: 在此输入您的 Secret Key
+        en_US: Enter your Secret Key
+address: https://hunyuan.tencentcloudapi.com

ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-functioncall.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-longcontext.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large-role.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-large.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-role.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-latest.yaml

@@ -1,38 +0,0 @@
-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

ai-provider/model-runtime/model-providers/hunyuan/llm/hunyuan-turbo-vision.yaml

@@ -1,39 +0,0 @@
-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

ai-provider/model-runtime/model-providers/lm_studio/assets/icon_l_en.svg

@@ -1 +0,0 @@
-<svg fill="currentColor" fill-rule="evenodd" height="56" viewBox="0 0 24 24" width="56" xmlns="http://www.w3.org/2000/svg" style="flex: 0 0 auto; line-height: 1;"><title>LM Studio</title><path d="M2.84 2a1.273 1.273 0 100 2.547h14.107a1.273 1.273 0 100-2.547H2.84zM7.935 5.33a1.273 1.273 0 000 2.548H22.04a1.274 1.274 0 000-2.547H7.935zM3.624 9.935c0-.704.57-1.274 1.274-1.274h14.106a1.274 1.274 0 010 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM1.273 12.188a1.273 1.273 0 100 2.547H15.38a1.274 1.274 0 000-2.547H1.273zM3.624 16.792c0-.704.57-1.274 1.274-1.274h14.106a1.273 1.273 0 110 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM13.029 18.849a1.273 1.273 0 100 2.547h9.698a1.273 1.273 0 100-2.547h-9.698z" fill-opacity=".3"></path><path d="M2.84 2a1.273 1.273 0 100 2.547h10.287a1.274 1.274 0 000-2.547H2.84zM7.935 5.33a1.273 1.273 0 000 2.548H18.22a1.274 1.274 0 000-2.547H7.935zM3.624 9.935c0-.704.57-1.274 1.274-1.274h10.286a1.273 1.273 0 010 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM1.273 12.188a1.273 1.273 0 100 2.547H11.56a1.274 1.274 0 000-2.547H1.273zM3.624 16.792c0-.704.57-1.274 1.274-1.274h10.286a1.273 1.273 0 110 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM13.029 18.849a1.273 1.273 0 100 2.547h5.78a1.273 1.273 0 100-2.547h-5.78z"></path></svg>

ai-provider/model-runtime/model-providers/lm_studio/assets/icon_s_en.svg

@@ -1 +0,0 @@
-<svg fill="currentColor" fill-rule="evenodd" height="56" viewBox="0 0 24 24" width="56" xmlns="http://www.w3.org/2000/svg" style="flex: 0 0 auto; line-height: 1;"><title>LM Studio</title><path d="M2.84 2a1.273 1.273 0 100 2.547h14.107a1.273 1.273 0 100-2.547H2.84zM7.935 5.33a1.273 1.273 0 000 2.548H22.04a1.274 1.274 0 000-2.547H7.935zM3.624 9.935c0-.704.57-1.274 1.274-1.274h14.106a1.274 1.274 0 010 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM1.273 12.188a1.273 1.273 0 100 2.547H15.38a1.274 1.274 0 000-2.547H1.273zM3.624 16.792c0-.704.57-1.274 1.274-1.274h14.106a1.273 1.273 0 110 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM13.029 18.849a1.273 1.273 0 100 2.547h9.698a1.273 1.273 0 100-2.547h-9.698z" fill-opacity=".3"></path><path d="M2.84 2a1.273 1.273 0 100 2.547h10.287a1.274 1.274 0 000-2.547H2.84zM7.935 5.33a1.273 1.273 0 000 2.548H18.22a1.274 1.274 0 000-2.547H7.935zM3.624 9.935c0-.704.57-1.274 1.274-1.274h10.286a1.273 1.273 0 010 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM1.273 12.188a1.273 1.273 0 100 2.547H11.56a1.274 1.274 0 000-2.547H1.273zM3.624 16.792c0-.704.57-1.274 1.274-1.274h10.286a1.273 1.273 0 110 2.547H4.898c-.703 0-1.274-.57-1.274-1.273zM13.029 18.849a1.273 1.273 0 100 2.547h5.78a1.273 1.273 0 100-2.547h-5.78z"></path></svg>

ai-provider/model-runtime/model-providers/lm_studio/lm_studio.yaml

@@ -1,109 +0,0 @@
-provider: lm_studio
-label:
-  en_US: LM Studio
-icon_large:
-  en_US: icon_l_en.svg
-icon_small:
-  en_US: icon_s_en.svg
-background: "#F9FAFB"
-help:
-  title:
-    en_US: How to integrate with LM Studio
-    zh_Hans: 如何集成 LM Studio
-  url:
-    en_US: https://lmstudio.ai/docs/app
-supported_model_types:
-  - llm
-  - text-embedding
-configurate_methods:
-  - customizable-model
-model_credential_schema:
-  model:
-    label:
-      en_US: Model Name
-      zh_Hans: 模型名称
-    placeholder:
-      en_US: Enter your model name
-      zh_Hans: 输入模型名称
-  credential_form_schemas:
-    - variable: base_url
-      label:
-        zh_Hans: 基础 URL
-        en_US: Base URL
-      type: text-input
-      required: true
-      placeholder:
-        zh_Hans: LM Studio server 的基础 URL，例如 http://localhost:1234
-        en_US: Base url of LM Studio server, e.g. http://localhost:1234
-    - variable: mode
-      show_on:
-        - variable: __model_type
-          value: llm
-      label:
-        zh_Hans: 模型类型
-        en_US: Completion mode
-      type: select
-      required: true
-      default: chat
-      placeholder:
-        zh_Hans: 选择对话类型
-        en_US: Select completion mode
-      options:
-        - value: completion
-          label:
-            en_US: Completion
-            zh_Hans: 补全
-        - value: chat
-          label:
-            en_US: Chat
-            zh_Hans: 对话
-    - variable: context_size
-      label:
-        zh_Hans: 模型上下文长度
-        en_US: Model context size
-      required: true
-      type: text-input
-      default: '4096'
-      placeholder:
-        zh_Hans: 在此输入您的模型上下文长度
-        en_US: Enter your Model context size
-    - variable: max_tokens
-      label:
-        zh_Hans: 最大 token 上限
-        en_US: Upper bound for max tokens
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: '4096'
-      type: text-input
-      required: true
-    - variable: function_call_support
-      label:
-        zh_Hans: 是否支持函数调用
-        en_US: Function call support
-      show_on:
-        - variable: __model_type
-          value: llm
-      default: 'false'
-      type: radio
-      required: false
-      options:
-        - value: 'true'
-          label:
-            en_US: 'Yes'
-            zh_Hans: 是
-        - value: 'false'
-          label:
-            en_US: 'No'
-            zh_Hans: 否
-provider_credential_schema:
-  credential_form_schemas:
-    - variable: base_url
-      label:
-        en_US: https://lmstudio.ai
-      type: text-input
-      required: false
-      placeholder:
-        zh_Hans: 在此输入您的 Base URL
-        en_US: Enter your Base URL
-address: https://lmstudio.ai