Merge pull request #311 from APIParkLab/feature/liujian-1.8

update docker run.sh

.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: |
-              - APINTO Dashboard version:
+              - ApiPark 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@v3
+        uses: actions/upload-artifact@v4
         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@v3
+        uses: actions/download-artifact@v4
         with:
           name: frontend-package
           path: frontend/dist
@@ -71,7 +71,7 @@ jobs:
       - uses: actions/checkout@v3
 
       - name: download frontend release
-        uses: actions/download-artifact@v3
+        uses: actions/download-artifact@v4
         with:
           name: frontend-package
           path: frontend/dist

.gitignore

@@ -3,4 +3,9 @@
 /config.yml
 /build/
 /apipark
-.gitlab-ci.yml
+.gitlab-ci.yml
+/.vscode/
+.air.toml
+/tmp/
+/work
+/cmd/

.gitlab-ci.yml

@@ -0,0 +1,88 @@
+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
+  GOPROXY: https://goproxy.cn
+  VERSION: $CI_COMMIT_SHORT_SHA
+  APP: apipark
+  APP_PRE: ${APP}_${VERSION}
+  BUILD_DIR: ${APP}-build
+  DEPLOY_DESC: "DEV 环境"
+  VIEW_ADDR: http://172.18.166.219:8288
+  SAVE_DIR: /opt/${APP}
+  NODE_OPTIONS: --max_old_space_size=8192
+
+stages:
+#  - notice
+  - 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}
+
+builder:
+  stage: build
+  rules:
+    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+  script:
+    - set -e
+    - |
+      if [ ! -d "../artifacts" ]; then
+        mkdir -p ../artifacts
+      fi
+      if [ -d "../artifacts/dist" ]; then
+        cp -r ../artifacts/dist frontend/dist
+      fi
+    - |
+      if [ -n "$(git diff --name-status HEAD~1 HEAD -- frontend)" ]; then
+        ./scripts/build.sh $BUILD_DIR ${VERSION} all ""
+      else
+        ./scripts/build.sh $BUILD_DIR ${VERSION}
+      fi
+      if [ -d "frontend/dist" ]; then
+        echo "copy frontend/dist to artifacts/dist"
+        rm -fr ../artifacts/dist
+        cp -r frontend/dist ../artifacts/dist
+      fi
+      cp $BUILD_DIR/${APP_PRE}_linux_amd64.tar.gz ${SAVE_DIR}
+
+deployer:
+  stage: deploy
+  rules:
+    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+  variables:
+    APIPARK_GUEST_MODE: allow
+    APIPARK_GUEST_ID: dklejrfbhjqwdh
+  script:
+    - cd ${SAVE_DIR};mkdir -p ${APP_PRE};tar -zxvf ${APP_PRE}_linux_amd64.tar.gz -C ${APP_PRE};cd ${APP_PRE};./install.sh ${SAVE_DIR};./run.sh restart;cd ${SAVE_DIR} && ./clean.sh ${APP_PRE}
+  when: on_success
+success:
+  stage: webhook
+  rules:
+    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+  script:
+    - |
+      curl -X POST -H "Content-Type: application/json" \
+      -d "{\"msg_type\":\"text\",\"content\":{\"text\":\"最近一次提交：${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}
+  when: on_success
+failure:
+  stage: webhook
+  rules:
+    - if: $CI_COMMIT_BRANCH == "main-github-pro" || $CI_COMMIT_BRANCH == "main"
+  script:
+    - |
+      curl -X POST -H "Content-Type: application/json" \
+      -d "{\"msg_type\":\"text\",\"content\":{\"text\":\"最近一次提交：${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}
+  when: on_failure

.vscode/settings.json

@@ -1,9 +0,0 @@
-{
-    "cSpell.words": [
-        "Antd",
-        "apinto",
-        "Apipark",
-        "logsettings",
-        "resourcesettings"
-    ]
-}

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: dev@apipark.com
+- Email: contact@apipark.com
 
 <br>
 

ai-provider/local/entity.go

@@ -0,0 +1,22 @@
+package ai_provider_local
+
+import "time"
+
+type Model struct {
+	Name       string       `json:"name"`
+	Model      string       `json:"model"`
+	ModifiedAt time.Time    `json:"modified_at"`
+	Size       int64        `json:"size"`
+	Digest     string       `json:"digest"`
+	Details    ModelDetails `json:"details,omitempty"`
+}
+
+// ModelDetails provides details about a model.
+type ModelDetails struct {
+	ParentModel       string   `json:"parent_model"`
+	Format            string   `json:"format"`
+	Family            string   `json:"family"`
+	Families          []string `json:"families"`
+	ParameterSize     string   `json:"parameter_size"`
+	QuantizationLevel string   `json:"quantization_level"`
+}

ai-provider/local/executor.go

@@ -0,0 +1,336 @@
+package ai_provider_local
+
+import (
+	"context"
+	"fmt"
+	"sync"
+
+	"github.com/ollama/ollama/progress"
+
+	"github.com/eolinker/eosc"
+	"github.com/ollama/ollama/api"
+)
+
+var (
+	taskExecutor = NewAsyncExecutor(100)
+)
+
+// Pipeline 结构体，表示每个用户的管道
+type Pipeline struct {
+	id      string
+	channel chan PullMessage
+	ctx     context.Context
+	cancel  context.CancelFunc
+}
+
+func (p *Pipeline) Message() <-chan PullMessage {
+	return p.channel
+}
+
+// AsyncExecutor 结构体，管理不同模型的管道和任务队列
+type AsyncExecutor struct {
+	ctx       context.Context
+	cancel    context.CancelFunc
+	mu        sync.Mutex
+	pipelines map[string]*modelPipeline // 以模型为 key，存管道列表
+	msgQueue  chan messageTask          // 消息队列
+}
+
+type modelPipeline struct {
+	ctx       context.Context
+	cancel    context.CancelFunc
+	pipelines eosc.Untyped[string, *Pipeline]
+	pullFn    PullCallback
+	maxSize   int
+}
+
+func (m *modelPipeline) List() []*Pipeline {
+	return m.pipelines.List()
+}
+
+func (m *modelPipeline) Get(id string) (*Pipeline, bool) {
+	return m.pipelines.Get(id)
+}
+
+func (m *modelPipeline) Set(id string, p *Pipeline) error {
+	_, ok := m.pipelines.Get(id)
+	if !ok {
+		if m.pipelines.Count() > m.maxSize {
+			return fmt.Errorf("pipeline size exceed %d", m.maxSize)
+		}
+	}
+	m.pipelines.Set(id, p)
+	return nil
+}
+
+func (m *modelPipeline) AddPipeline(id string) (*Pipeline, error) {
+	ctx, cancel := context.WithCancel(m.ctx)
+	pipeline := &Pipeline{
+		ctx:     ctx,
+		cancel:  cancel,
+		id:      id,
+		channel: make(chan PullMessage, 10), // 带缓冲，防止阻塞
+	}
+	err := m.Set(id, pipeline)
+	if err != nil {
+		return nil, err
+	}
+	return pipeline, nil
+}
+
+func (m *modelPipeline) Close() {
+	m.cancel()
+	ids := m.pipelines.Keys()
+	for _, id := range ids {
+		m.ClosePipeline(id)
+	}
+	return
+}
+
+func (m *modelPipeline) ClosePipeline(id string) {
+	// 关闭管道
+	p, has := m.pipelines.Del(id)
+	if !has {
+		return
+	}
+	p.cancel()
+	close(p.channel)
+}
+
+func newModelPipeline(ctx context.Context, maxSize int) *modelPipeline {
+	ctx, cancel := context.WithCancel(ctx)
+	return &modelPipeline{
+		pipelines: eosc.BuildUntyped[string, *Pipeline](),
+		ctx:       ctx,
+		cancel:    cancel,
+		maxSize:   maxSize,
+	}
+}
+
+// messageTask 结构体，包含模型名和消息内容
+type messageTask struct {
+	message PullMessage
+}
+
+type PullMessage struct {
+	Model     string
+	Status    string
+	Digest    string
+	Total     int64
+	Completed int64
+	Msg       string
+}
+
+// NewAsyncExecutor 创建一个新的异步任务执行器
+func NewAsyncExecutor(queueSize int) *AsyncExecutor {
+	ctx, cancel := context.WithCancel(context.Background())
+	executor := &AsyncExecutor{
+		ctx:       ctx,
+		cancel:    cancel,
+		pipelines: make(map[string]*modelPipeline), // 以模型为 key，存管道列表
+		msgQueue:  make(chan messageTask, queueSize),
+	}
+	executor.StartMessageDistributor()
+
+	return executor
+}
+
+func (e *AsyncExecutor) GetModelPipeline(model string) (*modelPipeline, bool) {
+	e.mu.Lock()
+	defer e.mu.Unlock()
+
+	mp, ok := e.pipelines[model]
+	return mp, ok
+}
+
+func (e *AsyncExecutor) SetModelPipeline(model string, mp *modelPipeline) {
+	e.mu.Lock()
+	defer e.mu.Unlock()
+	e.pipelines[model] = mp
+}
+
+// ClosePipeline 关闭管道并移除
+func (e *AsyncExecutor) ClosePipeline(model string, id string) {
+	e.mu.Lock()
+	defer e.mu.Unlock()
+	mp, ok := e.pipelines[model]
+	if !ok {
+		return
+	}
+	mp.ClosePipeline(id)
+}
+
+// CloseModelPipeline 关闭当前模型所有管道
+func (e *AsyncExecutor) CloseModelPipeline(model string) {
+	e.mu.Lock()
+	defer e.mu.Unlock()
+	mp, ok := e.pipelines[model]
+	if !ok {
+		return
+	}
+	mp.Close()
+	delete(e.pipelines, model)
+}
+
+// StartMessageDistributor 启动消息分发器
+func (e *AsyncExecutor) StartMessageDistributor() {
+	go func() {
+		for task := range e.msgQueue {
+			msg := task.message
+			e.DistributeToModelPipelines(msg.Model, msg)
+			if msg.Status == "error" || msg.Status == "success" {
+				mp, has := e.GetModelPipeline(msg.Model)
+				if has && mp.pullFn != nil {
+					mp.pullFn(msg)
+				}
+				e.CloseModelPipeline(msg.Model)
+				continue
+			}
+		}
+	}()
+}
+
+// DistributeToModelPipelines 仅将消息分发给指定模型的管道
+func (e *AsyncExecutor) DistributeToModelPipelines(model string, msg PullMessage) {
+	e.mu.Lock()
+	defer e.mu.Unlock()
+	pipelines, ok := e.pipelines[model]
+	if !ok {
+		return
+	}
+	for _, pipeline := range pipelines.List() {
+		select {
+		case pipeline.channel <- msg:
+		default:
+			// 如果管道已满，跳过
+		}
+	}
+}
+
+type PullCallback func(msg PullMessage) error
+
+func PullModel(model string, id string, fn PullCallback) (*Pipeline, error) {
+	if client == nil {
+		return nil, fmt.Errorf("client not initialized")
+	}
+	mp, has := taskExecutor.GetModelPipeline(model)
+	if !has {
+		mp = newModelPipeline(taskExecutor.ctx, 100)
+		mp.pullFn = fn
+		taskExecutor.SetModelPipeline(model, mp)
+	}
+	p, err := mp.AddPipeline(id)
+	if err != nil {
+		return nil, err
+	}
+	if !has {
+		var status string
+		bars := make(map[string]*progress.Bar)
+		fn := func(resp api.ProgressResponse) error {
+			if resp.Digest != "" {
+				bar, ok := bars[resp.Digest]
+				if !ok {
+					bar = progress.NewBar(fmt.Sprintf("pulling %s...", resp.Digest[7:19]), resp.Total, resp.Completed)
+					bars[resp.Digest] = bar
+				}
+				bar.Set(resp.Completed)
+
+				taskExecutor.msgQueue <- messageTask{
+					message: PullMessage{
+						Model:     model,
+						Digest:    resp.Digest,
+						Total:     resp.Total,
+						Completed: resp.Completed,
+						Msg:       bar.String(),
+						Status:    resp.Status,
+					},
+				}
+			} else if status != resp.Status {
+				taskExecutor.msgQueue <- messageTask{
+					message: PullMessage{
+						Model:     model,
+						Digest:    resp.Digest,
+						Total:     resp.Total,
+						Completed: resp.Completed,
+						Msg:       status,
+						Status:    resp.Status,
+					},
+				}
+			}
+
+			return nil
+		}
+		go func() {
+			err = client.Pull(mp.ctx, &api.PullRequest{Model: model}, fn)
+			if err != nil {
+				taskExecutor.msgQueue <- messageTask{
+					message: PullMessage{
+						Model:     model,
+						Status:    "error",
+						Digest:    "",
+						Total:     0,
+						Completed: 0,
+						Msg:       err.Error(),
+					},
+				}
+			}
+		}()
+
+	}
+
+	return p, nil
+}
+
+func StopPull(model string) {
+	if client == nil {
+		return
+	}
+	taskExecutor.CloseModelPipeline(model)
+}
+
+func CancelPipeline(model string, id string) {
+	taskExecutor.ClosePipeline(model, id)
+}
+
+func RemoveModel(model string) error {
+	if client == nil {
+		return fmt.Errorf("client not initialized")
+	}
+	taskExecutor.CloseModelPipeline(model)
+	err := client.Delete(context.Background(), &api.DeleteRequest{Model: model})
+	if err != nil {
+		if err.Error() == fmt.Sprintf("model '%s' not found", model) {
+			return nil
+		}
+	}
+	return err
+}
+
+func ModelsInstalled() ([]Model, error) {
+	if client == nil {
+		return nil, fmt.Errorf("client not initialized")
+	}
+	result, err := client.List(context.Background())
+	if err != nil {
+		return nil, err
+	}
+	models := make([]Model, 0, len(result.Models))
+	for _, m := range result.Models {
+		models = append(models, Model{
+			Name:       m.Name,
+			Model:      m.Model,
+			ModifiedAt: m.ModifiedAt,
+			Size:       m.Size,
+			Digest:     m.Digest,
+			Details: ModelDetails{
+				ParentModel:       m.Details.ParentModel,
+				Format:            m.Details.Format,
+				Family:            m.Details.Family,
+				Families:          m.Details.Families,
+				ParameterSize:     m.Details.ParameterSize,
+				QuantizationLevel: m.Details.QuantizationLevel,
+			},
+		})
+	}
+	return models, nil
+}

ai-provider/local/executor_test.go

@@ -0,0 +1,80 @@
+package ai_provider_local
+
+import (
+	"fmt"
+	"io"
+	"net/http"
+	"testing"
+
+	"github.com/gin-contrib/gzip"
+
+	"github.com/eolinker/eosc/log"
+
+	"github.com/google/uuid"
+
+	"github.com/gin-gonic/gin"
+)
+
+func TestPullModel(t *testing.T) {
+	// 创建 Gin 引擎
+	r := gin.Default()
+	r.Use(gzip.Gzip(gzip.DefaultCompression))
+	// 设置路由，监听 "/stream" 路径
+	r.GET("/stream", streamHandler)
+	r.GET("/stop", stopPull)
+	r.GET("/models", models)
+
+	// 启动 HTTP 服务器
+	r.Run(":11180")
+}
+
+func streamHandler(c *gin.Context) {
+	// 创建一个通道，用于监测客户端关闭连接的信号
+	model := c.Query("model")
+	p, err := PullModel(model, uuid.NewString(), nil)
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+	done := make(chan struct{})
+	// 启动一个 goroutine 监听客户端关闭连接
+	go func() {
+		select {
+		case <-c.Writer.CloseNotify():
+			log.Info("client closed connection,close pipeline")
+			taskExecutor.ClosePipeline(model, p.id)
+		case <-done:
+		}
+	}()
+
+	c.Stream(func(w io.Writer) bool {
+		select {
+		case msg, ok := <-p.channel:
+			if !ok {
+				return false
+			}
+			_, err := w.Write([]byte(fmt.Sprintf("%s\n", msg.Msg)))
+			if err != nil {
+				log.Error("write message error: %v", err)
+				return false
+			}
+			return true
+		}
+	})
+	done <- struct{}{}
+}
+
+func stopPull(c *gin.Context) {
+	model := c.Query("model")
+	StopPull(model)
+	c.JSON(http.StatusOK, gin.H{"message": "stop pull model"})
+}
+
+func models(c *gin.Context) {
+	ms, err := ModelsInstalled()
+	if err != nil {
+		c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
+		return
+	}
+	c.JSON(http.StatusOK, gin.H{"models": ms})
+}

ai-provider/local/local.go

@@ -0,0 +1,31 @@
+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,iVBORw0KGgoAAAANSUhEUgAAACoAAAAmCAYAAACyAQkgAAAGKUlEQVRYhZVYW8hWRRRdayklFhRqIRmCRQ+GhGVGFgZSPXSBEFKzHqKXKCNCNFAfkjIKRAokegiKCEq7QT0U1EMEvphYgZGaFYEkFH9o0EMX/WdiZs6cM7fz/fXB4dvnMjN71uy19p7h1g1/wRiLaQMYf0Xb+vvpaVTv/XM72MbgGmPso9MGtxuDJcbac8bgR2vwkbH2ZWPwk7GAdd9ai2hb14ezrfW2u8Z+EgGScP/BRmcz2AIo+v9oU/03s0m8QOJrko+IuFJyffI8EUspbCV5jMST7PqOYzG72N+P/Wb7QbuXbkICveVmJ9/awrpHJCytH8R9YulfvyNirW+i0J4mcSA0O1/kbsDOM8T24ItzzHZW/rPRkeKnAckU1RzB8I/y2WMS1qpDmN0qxD7c876/8H4biTtZodlNCGw6Hn+KAwUnWC99KxyIOSKfInMH/X3ieLqk3hZecm2zd+iWfIYQUDnQgNpgK0PV27dRWKAM+e5bFlf2jEtIbM6cbyHccFajJKpQzQh3XXSiiWp0QC1nuIPEoppQMQzai68CqVE7ItM5dYFGHOxRVLXscdIXitidTrAgXzMEVJGojWBHit7p06VkKSVbtkJxktmENpJY/X9CoNfRjFAqYjVlc+j0QB0mBaoVsSLZ/D9J7hUxq58UqhAZgsD3V5AgH3hYylymeFDCsYZktZJCU7IkLCfx8CiSQDejYGc6OhOhksuQ2DH524Jcbcl6msTFFQlRIMsuRstlrwnVRPUDCZ9W8paGQSpx9fK76xLJO1s5Vl6KgV7KzCTJSlbhCQln8wklEy8EvyRWN8YmkstYTqbIWmoxtI1qbndtjovYW6Na2z256nBwhc1ezYCqBgfbObslWXkG47MSplqESpWDCWFVr84akutS0CLrk5Ued5AFyuUg3fvfFbJNk3zNfoVctoK9h+Tc1vJjiNGiUaGjE2Qq2q9JOFzm/Jam1jHaT2yxiC3ZchfcmBDobYQbWcuIfNyVrD3aJbnKdJkU5v1zuVKQi8kUvF6eIpIjnRRloAq0E1QPinyjTahCRbLVyq65LgRUkYkJmcrc3MjZZbA3Mtg2in+UpR8bNW8Zu0nWWkc5chWsr7JGYmfEadYC1bL+IuK5FNVWpqokq85ae+n2Y3nFlmrVOEMn6mROwBcpft/S3/8kWQHZZSI2lYkoHdiZ95B4m8IJCb+JPCp3T9zd3q1WGexvV2+2MxyqZc+QzGPWbXXmx3ez3cfGCysXEvYtOvF1y2FsbDCfxFIJ6wEcALDRAqf63Wq6cx3sj4ONajeb2oEkdqjlzPCcsvNpsMsh2++ZSFxO4rDLEFXW0BDoodjlIb9/HyNU+O5PJWExKWuVDC9k0pWBy9kttcu170pYVOVYNYoK4jKJ+yjMGi20xZvGCDWmImUa765ZVF9L8D4SN5bOtWQrSX0rRWyv489PZo6IXfn2ZLxkzMrLtmStFnGXe/5Azq5BjjLJqhXB1ZFOii7q5cuzla5GvbZEsI1qraktmSTxkFv2FfGEgt0mhcyrbEcQd5wzdGIRToK4HbCbLfCDDOdC9opIouGICDXhbEqu/ogI6fFSYHj/fJVzdIF3zh8m2U4Buo7d+ZDCKV7s0PdkMubOEe1VID6xxCsiToE8Z2mXiLgV5BpLqzBoGCOeU6lju3Pf23m//nxKYbyFztEpAJcGNOmbDcgO9xHJ9BBMwfHXLbCTwMmGTD1vgasF7rGwd3gl6lCaKFndZPwkgkyecd98UW6mypqwVVlJnKbwoIsfkSfHKi4RRwMZsHNycV1krZyoXzm+vVoWAK2aMKusQkdbYrWUlYEtyfLlH5+JW46ZJKuRxve5Zx+C+LxyhmkFlbAzsPuzuFcqC+2mZA0ytFXCkVp3J5wNCN+KfFPdcd96EidytidI5kXJdyTv9yiNV+tjqJ0lsU7E1KTzgMQ+I8Id//wTyTxFcBWB97OaE4kdHH6PxCoSv85UaI+dDUh0xc4tFI4kqblVaB8hcTOJb1w7x/r4Ow3gXgI3AL4AWUlynmBPG+AQif0Ev/SMjG1SyRoYmmtjfz8crVvyuGhXgNhgxY2CvR7APAv8LOAYwH0Wdr+Ac75fY/EvLa1YGshjAE4AAAAASUVORK5CYII="/>
+</svg>
+
+`
+)

ai-provider/local/model.go

@@ -0,0 +1,70 @@
+package ai_provider_local
+
+import (
+	"embed"
+	"encoding/json"
+	"strings"
+
+	"github.com/eolinker/eosc/log"
+)
+
+var (
+	//go:embed models.json
+	modelsFs        embed.FS
+	modelCanInstall []ModelDetail
+	modelVersion    string
+	modelTags       = make(map[string][]ModelDetail)
+)
+
+type ModelConfig struct {
+	Models  []ModelDetail `json:"models"`
+	Version string        `json:"version"`
+}
+
+type ModelDetail struct {
+	Id          string `json:"id"`
+	Name        string `json:"name"`
+	Description string `json:"description"`
+	Size        string `json:"size"`
+	Digest      string `json:"digest"`
+	Provider    string `json:"provider"`
+	IsPopular   bool   `json:"is_popular"`
+	Latest      bool   `json:"latest"`
+}
+
+func init() {
+	data, err := modelsFs.ReadFile("models.json")
+	if err != nil {
+		log.Info("read models.json error: ", err)
+		return
+	}
+	var cfg ModelConfig
+	err = json.Unmarshal(data, &cfg)
+	if err != nil {
+		log.Info("unmarshal models.json error: ", err)
+		return
+	}
+	modelVersion = cfg.Version
+	modelCanInstall = make([]ModelDetail, 0, len(cfg.Models))
+	for _, model := range cfg.Models {
+		if _, ok := modelTags[model.Id]; !ok {
+			modelTags[model.Id] = make([]ModelDetail, 0)
+		}
+		names := strings.Split(model.Id, ":")
+
+		modelTags[names[0]] = append(modelTags[names[0]], model)
+		if !model.Latest {
+			continue
+		}
+		modelCanInstall = append(modelCanInstall, model)
+	}
+
+}
+
+func ModelsCanInstall() ([]ModelDetail, string) {
+	return modelCanInstall, modelVersion
+}
+
+func ModelsCanInstallById(id string) []ModelDetail {
+	return modelTags[id]
+}

ai-provider/local/model_test.go

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

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

@@ -25,6 +25,11 @@ 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

@@ -6,8 +6,6 @@ import (
 	"fmt"
 	"strings"
 
-	"github.com/APIParkLab/APIPark/gateway"
-
 	"github.com/eolinker/eosc"
 )
 
@@ -36,11 +34,21 @@ func (c *Config) Check(cfg string) error {
 	if err != nil {
 		return err
 	}
-	return c.validator.Valid(data)
+	if c.validator != nil {
+		return c.validator.Valid(data)
+	}
+	return nil
 }
 
 func (c *Config) GenConfig(target string, origin string) (string, error) {
+	if target == "" {
+		target = "{}"
+	}
+	if origin == "" {
+		origin = "{}"
+	}
 	var targetData map[string]interface{}
+
 	err := json.Unmarshal([]byte(target), &targetData)
 	if err != nil {
 		return "", err
@@ -50,6 +58,10 @@ 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)
 }
 
@@ -76,6 +88,9 @@ 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
@@ -112,10 +127,10 @@ 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

@@ -43,6 +43,10 @@ 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: API URL
+        en_US: https://api.anthropic.com/v1/
       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
+address: https://api.anthropic.com/v1/
 recommend: true
 sort: 2

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

@@ -0,0 +1,38 @@
+model: claude-3-5-haiku-20241022
+label:
+  en_US: claude-3-5-haiku-20241022
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 8192
+    min: 1
+    max: 8192
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '1.00'
+  output: '5.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,40 @@
+model: claude-3-5-sonnet-20241022
+label:
+  en_US: claude-3-5-sonnet-20241022
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 8192
+    min: 1
+    max: 8192
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '3.00'
+  output: '15.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -27,4 +27,12 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-address: https://api.baichuan-ai.com
+    - 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

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

@@ -0,0 +1 @@
+<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

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

@@ -87,6 +87,9 @@ 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

@@ -0,0 +1,26 @@
+model: ai21.jamba-1-5-large-v1:0
+label:
+  en_US: Jamba 1.5 Large
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 256000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 1
+    min: 0.0
+    max: 2.0
+  - name: top_p
+    use_template: top_p
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
+pricing:
+  input: '0.002'
+  output: '0.008'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,26 @@
+model: ai21.jamba-1-5-mini-v1:0
+label:
+  en_US: Jamba 1.5 Mini
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 256000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 1
+    min: 0.0
+    max: 2.0
+  - name: top_p
+    use_template: top_p
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
+pricing:
+  input: '0.0002'
+  output: '0.0004'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,53 @@
+model: amazon.nova-lite-v1:0
+label:
+  en_US: Nova Lite V1
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+  - vision
+model_properties:
+  mode: chat
+  context_size: 300000
+parameter_rules:
+  - name: max_new_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 5000
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+pricing:
+  input: '0.00006'
+  output: '0.00024'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,52 @@
+model: amazon.nova-micro-v1:0
+label:
+  en_US: Nova Micro V1
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: max_new_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 5000
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+pricing:
+  input: '0.000035'
+  output: '0.00014'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,53 @@
+model: amazon.nova-pro-v1:0
+label:
+  en_US: Nova Pro V1
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+  - vision
+model_properties:
+  mode: chat
+  context_size: 300000
+parameter_rules:
+  - name: max_new_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 5000
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+pricing:
+  input: '0.0008'
+  output: '0.0032'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,60 @@
+model: anthropic.claude-3-5-haiku-20241022-v1:0
+label:
+  en_US: Claude 3.5 Haiku
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    type: int
+    default: 8192
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
+      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
+  # docs: https://docs.anthropic.com/claude/docs/system-prompts
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.001'
+  output: '0.005'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,60 @@
+model: anthropic.claude-3-5-sonnet-20241022-v2:0
+label:
+  en_US: Claude 3.5 Sonnet V2
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    type: int
+    default: 8192
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
+      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.003'
+  output: '0.015'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,60 @@
+model: eu.anthropic.claude-3-5-sonnet-20241022-v2:0
+label:
+  en_US: Claude 3.5 Sonnet V2(EU.Cross Region Inference)
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    type: int
+    default: 4096
+    min: 1
+    max: 4096
+    help:
+      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
+      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.003'
+  output: '0.015'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,53 @@
+model: us.amazon.nova-lite-v1:0
+label:
+  en_US: Nova Lite V1 (US.Cross Region Inference)
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+  - vision
+model_properties:
+  mode: chat
+  context_size: 300000
+parameter_rules:
+  - name: max_new_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 5000
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+pricing:
+  input: '0.00006'
+  output: '0.00024'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,52 @@
+model: us.amazon.nova-micro-v1:0
+label:
+  en_US: Nova Micro V1 (US.Cross Region Inference)
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: max_new_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 5000
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+pricing:
+  input: '0.000035'
+  output: '0.00014'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,53 @@
+model: us.amazon.nova-pro-v1:0
+label:
+  en_US: Nova Pro V1 (US.Cross Region Inference)
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+  - vision
+model_properties:
+  mode: chat
+  context_size: 300000
+parameter_rules:
+  - name: max_new_tokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 5000
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+pricing:
+  input: '0.0008'
+  output: '0.0032'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,60 @@
+model: us.anthropic.claude-3-5-haiku-20241022-v1:0
+label:
+  en_US: Claude 3.5 Haiku(US.Cross Region Inference)
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    type: int
+    default: 8192
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
+      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
+  # docs: https://docs.anthropic.com/claude/docs/system-prompts
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.001'
+  output: '0.005'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,60 @@
+model: us.anthropic.claude-3-5-sonnet-20241022-v2:0
+label:
+  en_US: Claude 3.5 Sonnet V2(US.Cross Region Inference)
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 200000
+# docs: https://docs.aws.amazon.com/bedrock/latest/userguide/model-parameters-anthropic-claude-messages.html
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    type: int
+    default: 8192
+    min: 1
+    max: 8192
+    help:
+      zh_Hans: 停止前生成的最大令牌数。请注意，Anthropic Claude 模型可能会在达到 max_tokens 的值之前停止生成令牌。不同的 Anthropic Claude 模型对此参数具有不同的最大值。
+      en_US: The maximum number of tokens to generate before stopping. Note that Anthropic Claude models might stop generating tokens before reaching the value of max_tokens. Different Anthropic Claude models have different maximum values for this parameter.
+  - name: temperature
+    use_template: temperature
+    required: false
+    type: float
+    default: 1
+    min: 0.0
+    max: 1.0
+    help:
+      zh_Hans: 生成内容的随机性。
+      en_US: The amount of randomness injected into the response.
+  - name: top_p
+    required: false
+    type: float
+    default: 0.999
+    min: 0.000
+    max: 1.000
+    help:
+      zh_Hans: 在核采样中，Anthropic Claude 按概率递减顺序计算每个后续标记的所有选项的累积分布，并在达到 top_p 指定的特定概率时将其切断。您应该更改温度或top_p，但不能同时更改两者。
+      en_US: In nucleus sampling, Anthropic Claude computes the cumulative distribution over all the options for each subsequent token in decreasing probability order and cuts it off once it reaches a particular probability specified by top_p. You should alter either temperature or top_p, but not both.
+  - name: top_k
+    required: false
+    type: int
+    default: 0
+    min: 0
+    # tip docs from aws has error, max value is 500
+    max: 500
+    help:
+      zh_Hans: 对于每个后续标记，仅从前 K 个选项中进行采样。使用 top_k 删除长尾低概率响应。
+      en_US: Only sample from the top K options for each subsequent token. Use top_k to remove long tail low probability responses.
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.003'
+  output: '0.015'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,29 @@
+model: us.meta.llama3-2-11b-instruct-v1:0
+label:
+  en_US: US Meta Llama 3.2 11B Instruct
+model_type: llm
+features:
+  - vision
+  - tool-call
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+    min: 0.0
+    max: 1
+  - name: top_p
+    use_template: top_p
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 2048
+pricing:
+  input: '0.00035'
+  output: '0.00035'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,26 @@
+model: us.meta.llama3-2-1b-instruct-v1:0
+label:
+  en_US: US Meta Llama 3.2 1B Instruct
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+    min: 0.0
+    max: 1
+  - name: top_p
+    use_template: top_p
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 2048
+pricing:
+  input: '0.0001'
+  output: '0.0001'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,26 @@
+model: us.meta.llama3-2-3b-instruct-v1:0
+label:
+  en_US: US Meta Llama 3.2 3B Instruct
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+    min: 0.0
+    max: 1
+  - name: top_p
+    use_template: top_p
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 2048
+pricing:
+  input: '0.00015'
+  output: '0.00015'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,31 @@
+model: us.meta.llama3-2-90b-instruct-v1:0
+label:
+  en_US: US Meta Llama 3.2 90B Instruct
+model_type: llm
+features:
+  - tool-call
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+    min: 0.0
+    max: 1
+  - name: top_p
+    use_template: top_p
+    default: 0.9
+    min: 0
+    max: 1
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 2048
+pricing:
+  input: '0.002'
+  output: '0.002'
+  unit: '0.001'
+  currency: USD

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

@@ -18,12 +18,20 @@ configurate_methods:
   - predefined-model
 provider_credential_schema:
   credential_form_schemas:
-    - variable: api_base
+    - variable: api_key
       label:
-        en_US: API URL
-      type: text-input
+        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/
+      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.openai.com
+address: https://open.bigmodel.cn/api/paas/v4/

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

@@ -32,4 +32,12 @@ provider_credential_schema:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
       show_on: [ ]
-address: https://api.cohere.com
+    - 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

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

@@ -0,0 +1,3 @@
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+</svg>

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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+<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/model-runtime/model-providers/deepseek/deepseek.yaml

@@ -30,4 +30,12 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-address: https://api.deepseek.com
+    - 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

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

@@ -0,0 +1,21 @@
+model: deepseek-reasoner
+label:
+  zh_Hans: deepseek-reasoner
+  en_US: deepseek-reasoner
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 64000
+parameter_rules:
+  - name: max_tokens
+    use_template: max_tokens
+    min: 1
+    max: 8192
+    default: 4096
+pricing:
+  input: "4"
+  output: "16"
+  unit: "0.000001"
+  currency: RMB

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

@@ -28,4 +28,12 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-address: https://api.fireworks.ai
+    - 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

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

@@ -0,0 +1,46 @@
+model: accounts/fireworks/models/llama-v3p2-11b-vision-instruct
+label:
+  zh_Hans: Llama 3.2 11B Vision Instruct
+  en_US: Llama 3.2 11B Vision Instruct
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+  - name: max_tokens
+    use_template: max_tokens
+  - name: context_length_exceeded_behavior
+    default: None
+    label:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    help:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    type: string
+    options:
+      - None
+      - truncate
+      - error
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.2'
+  output: '0.2'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,46 @@
+model: accounts/fireworks/models/llama-v3p2-1b-instruct
+label:
+  zh_Hans: Llama 3.2 1B Instruct
+  en_US: Llama 3.2 1B Instruct
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+  - name: max_tokens
+    use_template: max_tokens
+  - name: context_length_exceeded_behavior
+    default: None
+    label:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    help:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    type: string
+    options:
+      - None
+      - truncate
+      - error
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.1'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,46 @@
+model: accounts/fireworks/models/llama-v3p2-3b-instruct
+label:
+  zh_Hans: Llama 3.2 3B Instruct
+  en_US: Llama 3.2 3B Instruct
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+  - name: max_tokens
+    use_template: max_tokens
+  - name: context_length_exceeded_behavior
+    default: None
+    label:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    help:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    type: string
+    options:
+      - None
+      - truncate
+      - error
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.1'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,46 @@
+model: accounts/fireworks/models/llama-v3p2-90b-vision-instruct
+label:
+  zh_Hans: Llama 3.2 90B Vision Instruct
+  en_US: Llama 3.2 90B Vision Instruct
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+  - name: max_tokens
+    use_template: max_tokens
+  - name: context_length_exceeded_behavior
+    default: None
+    label:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    help:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    type: string
+    options:
+      - None
+      - truncate
+      - error
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.9'
+  output: '0.9'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,46 @@
+model: accounts/fireworks/models/qwen2p5-72b-instruct
+label:
+  zh_Hans: Qwen2.5 72B Instruct
+  en_US: Qwen2.5 72B Instruct
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+model_properties:
+  mode: chat
+  context_size: 32768
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+  - name: max_tokens
+    use_template: max_tokens
+  - name: context_length_exceeded_behavior
+    default: None
+    label:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    help:
+      zh_Hans: 上下文长度超出行为
+      en_US: Context Length Exceeded Behavior
+    type: string
+    options:
+      - None
+      - truncate
+      - error
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.9'
+  output: '0.9'
+  unit: '0.000001'
+  currency: USD

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: API Base
+        en_US: https://generativelanguage.googleapis.com/v1beta/openai
       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
+address: https://generativelanguage.googleapis.com/v1beta/openai
 recommend: true
 sort: 3

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

@@ -0,0 +1,41 @@
+model: gemini-1.5-flash-001
+label:
+  en_US: Gemini 1.5 Flash 001
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-1.5-flash-002
+label:
+  en_US: Gemini 1.5 Flash 002
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-1.5-flash-8b-exp-0924
+label:
+  en_US: Gemini 1.5 Flash 8B 0924
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-1.5-flash
+label:
+  en_US: Gemini 1.5 Flash
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-1.5-pro-001
+label:
+  en_US: Gemini 1.5 Pro 001
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 2097152
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-1.5-pro-002
+label:
+  en_US: Gemini 1.5 Pro 002
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 2097152
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-1.5-pro
+label:
+  en_US: Gemini 1.5 Pro
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 2097152
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-2.0-flash-001
+label:
+  en_US: Gemini 2.0 Flash 001
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-2.0-flash-exp
+label:
+  en_US: Gemini 2.0 Flash Exp
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-2.0-flash-lite-preview-02-05
+label:
+  en_US: Gemini 2.0 Flash Lite Preview 0205
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,39 @@
+model: gemini-2.0-flash-thinking-exp-01-21
+label:
+  en_US: Gemini 2.0 Flash Thinking Exp 01-21
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,39 @@
+model: gemini-2.0-flash-thinking-exp-1219
+label:
+  en_US: Gemini 2.0 Flash Thinking Exp 1219
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-2.0-pro-exp-02-05
+label:
+  en_US: Gemini 2.0 pro exp 02-05
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 1048576
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-exp-1114
+label:
+  en_US: Gemini exp 1114
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-exp-1121
+label:
+  en_US: Gemini exp 1121
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: gemini-exp-1206
+label:
+  en_US: Gemini exp 1206
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 2097152
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,41 @@
+model: learnlm-1.5-pro-experimental
+label:
+  en_US: LearnLM 1.5 Pro Experimental
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - tool-call
+  - stream-tool-call
+  - document
+  - video
+  - audio
+model_properties:
+  mode: chat
+  context_size: 32767
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_output_tokens
+    use_template: max_tokens
+    default: 8192
+    min: 1
+    max: 8192
+  - name: json_schema
+    use_template: json_schema
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -30,4 +30,12 @@ provider_credential_schema:
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
-address: https://api.groq.com
+    - 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

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

@@ -0,0 +1,36 @@
+model: deepseek-r1-distill-llama-70b
+label:
+  en_US: DeepSeek R1 Distill Llama 70b
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '3.00'
+  output: '3.00'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,37 @@
+model: gemma-7b-it
+label:
+  zh_Hans: Gemma 7B Instruction Tuned
+  en_US: Gemma 7B Instruction Tuned
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.05'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,37 @@
+model: gemma2-9b-it
+label:
+  zh_Hans: Gemma 2 9B Instruction Tuned
+  en_US: Gemma 2 9B Instruction Tuned
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.05'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,38 @@
+model: llama-3.2-11b-text-preview
+deprecated: true
+label:
+  zh_Hans: Llama 3.2 11B Text (Preview)
+  en_US: Llama 3.2 11B Text (Preview)
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.05'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,38 @@
+model: llama-3.2-11b-vision-preview
+label:
+  zh_Hans: Llama 3.2 11B Vision (Preview)
+  en_US: Llama 3.2 11B Vision (Preview)
+model_type: llm
+features:
+  - agent-thought
+  - vision
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.05'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,37 @@
+model: llama-3.2-1b-preview
+label:
+  zh_Hans: Llama 3.2 1B Text (Preview)
+  en_US: Llama 3.2 1B Text (Preview)
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.05'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,37 @@
+model: llama-3.2-3b-preview
+label:
+  zh_Hans: Llama 3.2 3B Text (Preview)
+  en_US: Llama 3.2 3B Text (Preview)
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.05'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,38 @@
+model: llama-3.2-90b-text-preview
+depraceted: true
+label:
+  zh_Hans: Llama 3.2 90B Text (Preview)
+  en_US: Llama 3.2 90B Text (Preview)
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.05'
+  output: '0.1'
+  unit: '0.000001'
+  currency: USD

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

@@ -0,0 +1,38 @@
+model: llama-3.2-90b-vision-preview
+label:
+  zh_Hans: Llama 3.2 90B Vision (Preview)
+  en_US: Llama 3.2 90B Vision (Preview)
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+  - vision
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+  context_size: 131072
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+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
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+    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:
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+      - json_object
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+  input: '0.05'
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+  unit: '0.000001'
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ai-provider/model-runtime/model-providers/groq/llm/llama-3.3-70b-specdec.yaml

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+model: llama-3.3-70b-specdec
+label:
+  zh_Hans: Llama 3.3 70B Specdec
+  en_US: Llama 3.3 70B Specdec
+model_type: llm
+features:
+  - agent-thought
+  - multi-tool-call
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 32768
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: "0.05"
+  output: "0.1"
+  unit: "0.000001"
+  currency: USD

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

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+model: llama-3.3-70b-versatile
+label:
+  zh_Hans: Llama 3.3 70B Versatile
+  en_US: Llama 3.3 70B Versatile
+model_type: llm
+features:
+  - agent-thought
+  - multi-tool-call
+model_properties:
+  mode: chat
+  context_size: 131072
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 32768
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
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+      - json_object
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+  output: "0.1"
+  unit: "0.000001"
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ai-provider/model-runtime/model-providers/groq/llm/llama-guard-3-8b.yaml

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+model: llama-guard-3-8b
+label:
+  zh_Hans: Llama-Guard-3-8B
+  en_US: Llama-Guard-3-8B
+model_type: llm
+features:
+  - agent-thought
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+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
+pricing:
+  input: '0.20'
+  output: '0.20'
+  unit: '0.000001'
+  currency: USD

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

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+model: llama3-groq-70b-8192-tool-use-preview
+label:
+  zh_Hans: Llama3-groq-70b-8192-tool-use (PREVIEW)
+  en_US: Llama3-groq-70b-8192-tool-use (PREVIEW)
+model_type: llm
+features:
+  - agent-thought
+  - multi-tool-call
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 512
+    min: 1
+    max: 8192
+  - name: response_format
+    label:
+      zh_Hans: 回复格式
+      en_US: Response Format
+    type: string
+    help:
+      zh_Hans: 指定模型必须输出的格式
+      en_US: specifying the format that the model must output
+    required: false
+    options:
+      - text
+      - json_object
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+  input: '0.05'
+  output: '0.08'
+  unit: '0.000001'
+  currency: USD

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+    <defs>
+        <clipPath id="clip0_8587_60377">
+            <rect width="119.998" height="24" rx="6" fill="white"/>
+        </clipPath>
+        <clipPath id="clip1_8587_60377">
+            <rect width="23.998" height="22.2298" fill="white" transform="translate(0 0.885132)"/>
+        </clipPath>
+    </defs>
+</svg>

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

@@ -0,0 +1,121 @@
+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

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

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

@@ -0,0 +1,38 @@
+model: hunyuan-functioncall
+label:
+  zh_Hans: hunyuan-functioncall
+  en_US: hunyuan-functioncall
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - multi-tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 32000
+  - name: enable_enhance
+    label:
+      zh_Hans: 功能增强
+      en_US: Enable Enhancement
+    type: boolean
+    help:
+      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+    default: true
+pricing:
+  input: '0.004'
+  output: '0.008'
+  unit: '0.001'
+  currency: RMB

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

@@ -0,0 +1,38 @@
+model: hunyuan-large-longcontext
+label:
+  zh_Hans: hunyuan-large-longcontext
+  en_US: hunyuan-large-longcontext
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - multi-tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 134000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 134000
+  - name: enable_enhance
+    label:
+      zh_Hans: 功能增强
+      en_US: Enable Enhancement
+    type: boolean
+    help:
+      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+    default: true
+pricing:
+  input: '0.006'
+  output: '0.018'
+  unit: '0.001'
+  currency: RMB

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

@@ -0,0 +1,38 @@
+model: hunyuan-large-role
+label:
+  zh_Hans: hunyuan-large-role
+  en_US: hunyuan-large-role
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - multi-tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 32000
+  - name: enable_enhance
+    label:
+      zh_Hans: 功能增强
+      en_US: Enable Enhancement
+    type: boolean
+    help:
+      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+    default: true
+pricing:
+  input: '0.004'
+  output: '0.008'
+  unit: '0.001'
+  currency: RMB

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

@@ -0,0 +1,38 @@
+model: hunyuan-large
+label:
+  zh_Hans: hunyuan-large
+  en_US: hunyuan-large
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - multi-tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 32000
+  - name: enable_enhance
+    label:
+      zh_Hans: 功能增强
+      en_US: Enable Enhancement
+    type: boolean
+    help:
+      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+    default: true
+pricing:
+  input: '0.004'
+  output: '0.012'
+  unit: '0.001'
+  currency: RMB

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

@@ -0,0 +1,38 @@
+model: hunyuan-role
+label:
+  zh_Hans: hunyuan-role
+  en_US: hunyuan-role
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - multi-tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 32000
+  - name: enable_enhance
+    label:
+      zh_Hans: 功能增强
+      en_US: Enable Enhancement
+    type: boolean
+    help:
+      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+    default: true
+pricing:
+  input: '0.004'
+  output: '0.008'
+  unit: '0.001'
+  currency: RMB

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

@@ -0,0 +1,38 @@
+model: hunyuan-turbo-latest
+label:
+  zh_Hans: hunyuan-turbo-latest
+  en_US: hunyuan-turbo-latest
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - multi-tool-call
+  - stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 32000
+  - name: enable_enhance
+    label:
+      zh_Hans: 功能增强
+      en_US: Enable Enhancement
+    type: boolean
+    help:
+      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+    default: true
+pricing:
+  input: '0.015'
+  output: '0.05'
+  unit: '0.001'
+  currency: RMB

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

@@ -0,0 +1,39 @@
+model: hunyuan-turbo-vision
+label:
+  zh_Hans: hunyuan-turbo-vision
+  en_US: hunyuan-turbo-vision
+model_type: llm
+features:
+  - agent-thought
+  - tool-call
+  - multi-tool-call
+  - stream-tool-call
+  - vision
+model_properties:
+  mode: chat
+  context_size: 8000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    min: 1
+    max: 8000
+  - name: enable_enhance
+    label:
+      zh_Hans: 功能增强
+      en_US: Enable Enhancement
+    type: boolean
+    help:
+      zh_Hans: 功能增强（如搜索）开关，关闭时将直接由主模型生成回复内容，可以降低响应时延（对于流式输出时的首字时延尤为明显）。但在少数场景里，回复效果可能会下降。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+    default: true
+pricing:
+  input: '0.08'
+  output: '0.08'
+  unit: '0.001'
+  currency: RMB

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

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