Merge pull request #268 from APIParkLab/feature/1.6-liujian

update issue template: APINTO Dashboard -> ApiPark

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -45,19 +45,18 @@ body:
           label: Steps to Reproduce
           description: Share the steps you took so that we can reproduce the issue. Reports without proper steps details will likely be closed.
           placeholder: |
-              1. Run apinto via the Docker image.
-              2. Create a Route with the Admin API.
-              3. Try configuring ...
-              4. ...
+              1. Run APIPark via the Docker image.
+              2. Try configuring ...
+              3. ...
       validations:
-          required: true
+          required: false
     - type: textarea
       id: environment
       attributes:
           label: Environment
           description: Share your environment details. Reports without proper environment details will likely be closed.
           value: |
-              - APINTO Dashboard version (run `apinto dashboard version`):
+              - ApiPark version:
               - Operating system (run `uname -a`):
       validations:
           required: true

.github/ISSUE_TEMPLATE/feature_request.yml

@@ -1,5 +1,5 @@
 name: "Feature Request"
-description: Suggest an enhancement to APINTO.
+description: Suggest an enhancement to APIPark.
 title: "feat: As a user, I want to ..., so that ..."
 body:
   - type: markdown
@@ -20,4 +20,4 @@ body:
       placeholder: |
         As a user, I want to ..., so that...
     validations:
-      required: true
+      required: true

.github/ISSUE_TEMPLATE/request_help.yml

@@ -25,7 +25,7 @@ body:
       label: Environment
       description: Share your environment details. Reports without proper environment details will likely be closed.
       value: |
-        - APIPark version (run `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@v2
+        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@v2
+        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@v2
+        uses: actions/download-artifact@v4
         with:
           name: frontend-package
           path: frontend/dist
@@ -81,6 +81,16 @@ jobs:
           username: ${{ secrets.DOCKER_USERNAME }}
           password: ${{ secrets.DOCKER_TOKEN }}
 
-      - name: build
-        run: cd scripts && ./docker_publish.sh ${{ secrets.DOCKER_USERNAME }} "backend"
+      - name: Setup qshell
+        uses: foxundermoon/setup-qshell@v5
+        with:
+          version: '2.9.0'
+
+      - name: build
+        env:
+          AccessKey: ${{ secrets.AK }}
+          SecretKey: ${{ secrets.SK }}
+          QINIU_BUCKET: ${{ secrets.QINIU_BUCKET }}
+          QINIU_NAME: ${{ secrets.QINIU_NAME }}
+        run: cd scripts && ./docker_publish.sh ${{ secrets.DOCKER_USERNAME }} "backend" "upload_qiniu"
 

.gitignore

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

README.md

@@ -1,156 +1,217 @@
 ![image](https://github.com/user-attachments/assets/96e36db5-2733-49c8-8e1e-ecbcc60a3943)
 
+<p align="center">
+  <a href="/README.md">English</a>
+  | 
+  <a href="/readme/readme-jp.md">日本語</a>
+  | 
+  <a href="/readme/readme-zh-cn.md">简体中文</a>
+  | 
+  <a href="/readme/readme-zh-tw.md">繁體中文</a>
+</p>
 
-APIPark 是全球首个开源企业级 API 开放平台，帮助组织快速构建企业内部 API 门户/市场，享受极致的转发性能、API 可观测性、服务治理、多租户管理、订阅审批流程等诸多好处。
+<b>🦄 APIPark is an open-source, all-in-one AI gateway and API developer portal, helping developers and enterprises easily manage, integrate, and deploy AI services. APIPark is open-sourced under the Apache 2.0 license, which means it's free for commercial use!</b>
 
 <br>
 
-#  ✨ 快速开始
-APIPark 致力于为全球企业提供一站式 API 开放与接入产品，打造新一代 API 资产治理标准。APIPark 使用 Apache 2.0 协议开源。
+✨ With APIPark, you can:
+1. Quickly connect to 100+ AI models, supporting all mainstream AI Companies!
+2. Combine AI models and prompt templates into APIs, such as creating a sentiment analysis API, translation API, or data analysis API based on OpenAI GPT-4 and some custom prompts.
+3. Standardize the data format of all AI API requests, so switching AI models or modifying prompts won’t affect your APP or microservices, simplifying your AI usage and maintenance costs.
+4. Share APIs within the team through APIPark's developer portal.
+5. Manage calling applications and API keys to ensure your API's security and stability.
+6. Monitor your AI API usage with clear charts.
+7. Quickly export API request logs to third-party logging platforms.
 
-APIPark 致力于解决企业在 API 管理中面临的几大关键挑战：
-- 复杂的 API 调用关系：简化了复杂系统架构中的 API 交互。
-- 数据使用跟踪：提供全面的 API 使用监控和报告。
-- 合规管理：确保 API 符合组织和法规标准。
-- 故障检测和排查：简化系统问题的识别和解决。
-- 量化数据资产价值：提升数据资产的可见性和估值。
+<br>
+
+✨ APIPark is also a powerful cloud-native API gateway:
+1. It outperforms Nginx with higher performance, supports cluster deployment, and handles large-scale traffic.
+2. Share REST APIs within the team, manage API call relationships, and prevent management costs and data breaches caused by chaotic API calls.
 
 
 <br>
 
-😍APIPark 部署非常简单，仅需一句命令行即可在 5 分钟内部署好你的 API 资产开放平台。
+# 💌 Why Did We Build APIPark?
+Before building APIPark, we spent seven years developing an API development and automated testing platform with over 1 million developer users, 500+ enterprise customers, and multi-million-dollar investment from Sequoia Capital.
+
+As AI and Agents evolved, we noticed many enterprises wanted to integrate AI into both internal and third-party APIs, enabling AI agents to perform more complex tasks beyond being just knowledge-based Q&A bots. Hence, we built APIPark—your all-in-one AI gateway and API developer portal to accelerate your AI API development and quickly build your product or AI agent!
+
+<br>
+
+# ✨ Quick Start
+APIPark is designed to solve the following problems:
+- Seamlessly connect to various AI models and package these AI capabilities into APIs for easy calling, significantly reducing the barrier to using AI models.
+- Manage complex AI & API call relationships.
+- Manage API creation, monitoring, and security.
+- Fault detection and troubleshooting: Simplifying system issue identification and resolution.
+- Quantify data asset value: Enhance the visibility and valuation of data assets.
+
+<br>
+
+😍 Deploying APIPark is incredibly simple. With just one command line, you can deploy your AI gateway and API developer portal in under 5 minutes.
 
 ```
-curl -sSO https://download.apipark.com/install/quick-start.sh; bash quick-start.sh
+curl -sSO  https://download.apipark.com/install/quick-start.sh ;  bash quick-start.sh
 ```
 
 <br>
 
-# 🔥 特性
+# 🔥 Features
 <table>
   <tr>
     <th>
-      集中管理与展示企业内部的所有 API 服务
+      Connect to 100+ AI models
     </th>
     <th>
-      覆盖 API 从设计、发布、运行、下线的全过程
+      Unified API to use all AI
     </th>
 
   </tr>
 
-   <tr>
+  <tr>
     <td width="50%">
-        <img src="https://apipark.com/wp-content/uploads/2024/08/%E9%A1%B5%E9%9D%A2-1.png" />
-      API 服务广场是 APIPark 的核心功能之一，旨在解决企业内部 API 分散、管理混乱的问题。通过 API 服务广场，企业可以将所有的 API 服务集中展示在一个统一的平台上，使得不同部门和团队能够轻松找到并使用所需的 API 服务。
+        <img src="https://apipark.com/wp-content/uploads/2024/10/AI-Gateway.png" />
     </td>
     <td width="50%">
-            <img src="https://apipark.com/wp-content/uploads/2024/08/Life-Cycle.png" />
-      API 全生命周期管理功能帮助企业规范 API 的管理流程，管理 API 的流量转发和负载均衡，并管理所有 API 对外发布的版本。提升 API 的质量和可维护性。通过这个功能，企业可以实现 API 的高效开发和稳定运营，从而支持业务的快速发展和创新。
+        <img src="https://apipark.com/wp-content/uploads/2024/10/Unified-API.png" />
+    </td>
+  </tr>
+
+  <tr>
+    <th>
+      Transform AI & Prompt to REST API
+    </th>
+    <th>
+      API Developer Portal
+    </th>
+
+  </tr>
+
+  <tr>
+    <td width="50%">
+        <img src="https://apipark.com/wp-content/uploads/2024/10/Prompt-template.png" />
+    </td>
+    <td width="50%">
+        <img src="https://apipark.com/wp-content/uploads/2024/10/developer-portal.png" />
+    </td>
+  </tr>
+
+  <tr>
+    <th>
+      High Performance
+    </th>
+    <th>
+      Manage API lifecycle
+    </th>
+
+  </tr>
+
+  <tr>
+    <td width="50%">
+        <img src="https://apipark.com/wp-content/uploads/2024/10/hyper-performance.png" />
+    </td>
+    <td width="50%">
+        <img src="https://apipark.com/wp-content/uploads/2024/08/Life-Cycle.png" />
     </td>
   </tr>
   
-<tr>
+  <tr>
     <th>
-      管理多个租户，确保数据隔离和安全
+      Review subscription before allowing API requests
     </th>
     <th>
-      API资源需要先申请并等待审核通过才能调用
+      Manage subscriber
     </th>
-
   </tr>
 
-   <tr>
-    <td width="50%">
-        <img src="https://apipark.com/wp-content/uploads/2024/08/Multi-tenant.png" />
-      多租户管理功能为企业提供了在同一平台上管理多个租户的能力，每个租户可以拥有独立的资源、用户和权限设置，确保数据和操作的隔离，帮助提升资源利用效率和管理便捷性。
-    </td>
+  <tr>
     <td width="50%">
             <img src="https://apipark.com/wp-content/uploads/2024/08/Application.png" />
-      APIPark 对所有 API 资源提供流程审批功能，避免违规或避开平台来调用API，调用方需要先申请API资源，并等待服务方审核通过后才能正式调用API。
+    </td>
+    <td width="50%">
+        <img src="https://apipark.com/wp-content/uploads/2024/08/Multi-tenant.png" />
     </td>
   </tr>
 
-<tr>
+  <tr>
     <th>
-      通过详细的调用日志，帮助排查API在任意时刻的访问情况
+      Logging
     </th>
     <th>
-      丰富的统计报表*
+      Analysis
     </th>
-
   </tr>
 
-   <tr>
+  <tr>
     <td width="50%">
         <img src="https://apipark.com/wp-content/uploads/2024/08/Chart-1.png" />
-      API 调用日志功能为企业提供了全面的日志记录能力，详细记录每一次 API 调用的所有相关信息。通过这些日志，企业可以快速追踪和排查 API 调用中的问题，确保系统的稳定运行和数据安全。
     </td>
     <td width="50%">
             <img src="https://apipark.com/wp-content/uploads/2024/08/Chart.png" />
-      通过对历史调用数据的分析，APIPark 能够展示 API 长期的调用趋势和性能变化，帮助企业在问题发生前进行预防性维护。
     </td>
   </tr>
   
 </table>
 
+<br>
+
+# 🚀 Use Cases
+## Simplify AI Integration Costs
+  - Connect to 100+ major models from all mainstream AI vendors, with standardized API calls requiring no additional adaptation work.
+  - Combine AI models and prompt templates to create new AI APIs, simplifying AI API development.
+  - Quickly share AI APIs within the team.
+
+## Enhance Operational Efficiency
+  - Quickly build an internal API developer portal.
+  - Efficiently manage and call APIs.
+  - Reduce complex system call relationships.
+
+## Ensure Compliance and Security
+  - Powerful service governance and compliance management features.
+  - Granular permission management for application calls.
+  - Ensure API call security and compliance, reducing enterprise risk.
+
+## Simplify System Troubleshooting
+  - Use monitoring and diagnostic tools to quickly identify and resolve issues.
+  - Reduce downtime and improve system stability.
+
+## Multi-Tenant Management and Flexible Subscription
+  - Supports multi-tenant management to meet different business unit needs.
+  - Flexible subscription and approval processes simplify API usage and management.
+
+## Improve API Observability
+  - Real-time monitoring and tracking of API usage.
+  - Fully understand data flow to enhance data usage transparency.
 
 <br>
 
-# 🚩适用场景
-## 提升运营效率
-  - 快速构建内部 API 门户。
-  - 高效管理和调用 API。
-  - 减少复杂的系统间调用关系。
+# 🚩 Roadmap
+We’ve set exciting goals for APIPark: enabling everyone to quickly create their own products and AI agents using AI and APIs!
 
-## 确保合规与安全
-  - 强大的服务治理和合规管理功能。
-  - 精细化管理应用调用的权限。
-  - 确保 API 调用的安全性和合规性，降低企业风险。
-
-## 简化系统故障排查
-  - 利用监控和故障诊断工具快速发现和解决问题。
-  - 减少停机时间，提高系统稳定性。
-
-## 多租户管理和灵活订阅
-  - 支持多租户管理，满足不同业务单元需求。
-  - 灵活的订阅和审批流程简化 API 的使用和管理。
-
-## 增强 API 可观测性
-  - 实时监控和追踪 API 使用情况。
-  - 全面掌握数据流动，提升数据使用透明度。
-
-## 提升数据资产价值
-  - 量化和分析 API 使用情况，更好地评估和提升数据资产价值。
-  - 为决策提供数据支持。
+To achieve this goal, we plan to add new features to APIPark, including:
+1. Integrating with API marketplaces such as Postman, RapidAPI, APISpace, APILayer, etc. You can directly use APIs from various API marketplaces through APIPark and make them smarter using AI.
+2. Integrating AI Agents such as Langchain, AgentGPT, Auto-GPT, Dify, and more, allowing AI Agents to access your internal or third-party APIs through APIPark to complete more complex tasks.
+3. Intelligent API orchestration: APIPark will provide a unified API entry point and automatically orchestrate multiple APIs to fulfill your requests based on the API content.
 
 <br>
 
-# 🚀一键部署
-APIPark 部署非常简单，仅需一句命令行即可在 5 分钟内部署好你的 API 资产开放平台。
-
-```
-curl -sSO https://download.apipark.com/install/quick-start.sh; bash quick-start.sh
-```
+# 📕 Documentation
+Visit [APIPark Documentation](https://docs.apipark.com/docs/deploy) for detailed installation guides, API references, and usage instructions.
 
 <br>
 
-## 📕文档
-访问 [APIPark文档](https://docs.apipark.com/docs/install) 获取详细的安装指南、API 参考和使用说明。
+# 🧾 License
+APIPark uses the Apache 2.0 License. For more details, please refer to the LICENSE file.
 
 <br>
 
-## 🧾许可证
-APIPark 使用 Apache 2.0 许可证。更多详情请查看 LICENSE 文件。
+# 💌 Contact Us
+For enterprise-level features and professional technical support, contact our pre-sales experts for personalized demos, customized solutions, and pricing.
 
+- Website: https://apipark.com
+- Email: contact@apipark.com
 
 <br>
 
-## 💌联系我们
-对于企业级功能和专业技术支持，请联系售前专家进行个性化演示、定制方案和获取报价。
-
-- 网站: https://apipark.com
-- 电子邮件: dev@apipark.com
-
-<br>
-
-感谢您选择 APIPark，下一代 API 资产治理平台。
+🙏 A big thanks to everyone who helped shape APIPark. We are thrilled to hear the community’s thoughts! Let’s make the world of APIs and AI stronger and more fun together. 🎉

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,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"/>
+</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/ai-model.go

@@ -0,0 +1,21 @@
+package entity
+
+type AIModel struct {
+	Model           string            `json:"model" yaml:"model"`
+	Label           map[string]string `json:"label" yaml:"label"`
+	ModelType       string            `json:"model_type" yaml:"model_type"`
+	Features        []string          `json:"features" yaml:"features"`
+	ModelProperties map[string]string `json:"model_properties" yaml:"model_properties"`
+	ParameterRules  []ParameterRule   `json:"parameter_rules" yaml:"parameter_rules"`
+}
+
+type ParameterRule struct {
+	Name      string            `json:"name" yaml:"name"`
+	Default   interface{}       `json:"default" yaml:"default"`
+	Label     map[string]string `json:"label" yaml:"label"`
+	Type      string            `json:"type" yaml:"type"`
+	Min       float64           `json:"min" yaml:"min"`
+	Max       float64           `json:"max" yaml:"max"`
+	Precision int               `json:"precision" yaml:"precision"`
+	Required  bool              `json:"required" yaml:"required"`
+}

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

@@ -0,0 +1,50 @@
+package entity
+
+var (
+	ModelTypeLLM           = "llm"
+	ModelTypeTextEmbedding = "text-embedding"
+	ModelTypeSpeech2Text   = "speech2text"
+	ModelTypeTTS           = "tts"
+	ModelTypeModeration    = "moderation"
+
+	LanguageEnglish = "en_US"
+	LanguageChinese = "zh_Hans"
+)
+
+type Provider struct {
+	Provider                 string                   `json:"provider" yaml:"provider"`
+	Label                    map[string]string        `json:"label" yaml:"label"`
+	Description              map[string]string        `json:"description" yaml:"description"`
+	IconSmall                map[string]string        `json:"icon_small" yaml:"icon_small"`
+	IconLarge                map[string]string        `json:"icon_large" yaml:"icon_large"`
+	Background               string                   `json:"background" yaml:"background"`
+	Help                     Help                     `json:"help" yaml:"help"`
+	SupportedModelTypes      []string                 `json:"supported_model_types" yaml:"supported_model_types"`
+	ProviderCredentialSchema ProviderCredentialSchema `json:"provider_credential_schema" yaml:"provider_credential_schema"`
+	Default                  map[string]string        `json:"default" yaml:"default"`
+	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 {
+	CredentialFormSchemas []CredentialFormSchema `json:"credential_form_schemas" yaml:"credential_form_schemas"`
+}
+
+type CredentialFormSchema struct {
+	Variable    string            `json:"variable" yaml:"variable"`
+	Label       map[string]string `json:"label" yaml:"label"`
+	Type        string            `json:"type" yaml:"type"`
+	Required    bool              `json:"required" yaml:"required"`
+	Placeholder map[string]string `json:"placeholder" yaml:"placeholder"`
+}
+
+type Help struct {
+	Title map[string]string `json:"title" yaml:"title"`
+	URL   map[string]string `json:"url" yaml:"url"`
+}

ai-provider/model-runtime/load_test.go

@@ -0,0 +1,11 @@
+package model_runtime
+
+import "testing"
+
+func TestLoad(t *testing.T) {
+	Load()
+	for _, p := range Providers() {
+		t.Logf("Provider: %s", p.ID())
+		t.Log(p.DefaultModel("llm"))
+	}
+}

ai-provider/model-runtime/loader.go

@@ -0,0 +1,159 @@
+package model_runtime
+
+import (
+	"embed"
+	"encoding/json"
+	"fmt"
+	"strings"
+
+	"github.com/eolinker/eosc"
+)
+
+func init() {
+	Load()
+}
+
+type IConfig interface {
+	Check(cfg string) error
+	GenConfig(target string, origin string) (string, error)
+	DefaultConfig() string
+}
+
+func NewConfig(cfg string, validator IParamValidator) *Config {
+	return &Config{cfg: cfg, validator: validator}
+}
+
+type Config struct {
+	cfg       string
+	validator IParamValidator
+}
+
+func (c *Config) Check(cfg string) error {
+	data := make(map[string]interface{})
+	err := json.Unmarshal([]byte(cfg), &data)
+	if err != nil {
+		return err
+	}
+	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
+	}
+	var originData map[string]interface{}
+	err = json.Unmarshal([]byte(origin), &originData)
+	if err != nil {
+		return "", err
+	}
+	if c.validator == nil {
+		c.validator = ParamValidator(nil)
+	}
+
+	return c.validator.GenConfig(targetData, originData)
+}
+
+func (c *Config) DefaultConfig() string {
+	return c.cfg
+}
+
+const (
+	DirAssets = "assets"
+)
+
+var (
+	//go:embed model-providers/*
+	providerDir embed.FS
+)
+
+func Load() error {
+	files, err := providerDir.ReadDir("model-providers")
+	if err != nil {
+		return err
+	}
+	for _, file := range files {
+		if !file.IsDir() {
+			continue
+		}
+		name := fmt.Sprintf("model-providers/%s", file.Name())
+		if file.Name() == "customize" {
+			continue
+		}
+		err = LoadProvider(name)
+		if err != nil {
+			return err
+		}
+	}
+	return nil
+}
+
+func LoadProvider(name string) error {
+	files, err := providerDir.ReadDir(name)
+	if err != nil {
+		return err
+	}
+	var providerFile string
+	models := make(map[string]eosc.Untyped[string, string])
+	for _, file := range files {
+		if file.IsDir() {
+			result, err := ReadFile(providerDir, fmt.Sprintf("%s/%s", name, file.Name()))
+			if err != nil {
+				return err
+			}
+			models[file.Name()] = result
+			continue
+		}
+		if strings.HasSuffix(file.Name(), ".yaml") {
+			data, err := providerDir.ReadFile(fmt.Sprintf("%s/%s", name, file.Name()))
+			if err != nil {
+				return err
+			}
+			providerFile = string(data)
+		}
+	}
+	provider, err := NewProvider(providerFile, models)
+	if err != nil {
+		return err
+	}
+	//gateway.RegisterDynamicResourceDriver(provider.ID(), gateway.Worker{
+	//	Profession: gateway.ProfessionAIProvider,
+	//	Driver:     provider.ID(),
+	//})
+	Register(provider.ID(), provider)
+	return nil
+}
+
+func ReadFile(dir embed.FS, name string) (eosc.Untyped[string, string], error) {
+
+	files, err := dir.ReadDir(name)
+	if err != nil {
+		return nil, err
+	}
+	result := eosc.BuildUntyped[string, string]()
+	for _, file := range files {
+		if file.IsDir() {
+			continue
+		}
+		if !strings.HasSuffix(file.Name(), ".yaml") && !strings.HasSuffix(file.Name(), ".svg") {
+			continue
+		}
+		data, err := dir.ReadFile(fmt.Sprintf("%s/%s", name, file.Name()))
+		if err != nil {
+			return nil, fmt.Errorf("open file %s error: %w", file.Name(), err)
+		}
+		result.Set(file.Name(), string(data))
+	}
+	return result, nil
+}

ai-provider/model-runtime/manager.go

@@ -0,0 +1,56 @@
+package model_runtime
+
+import (
+	"github.com/eolinker/eosc"
+)
+
+var (
+	defaultManager = NewManager()
+)
+
+type Manager struct {
+	providers eosc.Untyped[string, IProvider]
+}
+
+func NewManager() *Manager {
+	return &Manager{providers: eosc.BuildUntyped[string, IProvider]()}
+}
+
+func (m *Manager) Set(name string, driver IProvider) {
+	m.providers.Set(name, driver)
+}
+
+func (m *Manager) Get(name string) (IProvider, bool) {
+	return m.providers.Get(name)
+}
+
+func (m *Manager) Del(name string) {
+	m.providers.Del(name)
+}
+
+func (m *Manager) List() []IProvider {
+	//list := m.providers.List()
+	//sort.Slice(list, func(i, j int) bool {
+	//	if list[i].Sort() == list[j].Sort() {
+	//		return list[i].ID() < list[j].ID()
+	//	}
+	//	return list[i].Sort() < list[j].Sort()
+	//})
+	return m.providers.List()
+}
+
+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)
+}
+
+func Providers() []IProvider {
+	return defaultManager.List()
+}

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

@@ -0,0 +1,42 @@
+provider: anthropic
+label:
+  en_US: Anthropic
+description:
+  en_US: Anthropic’s powerful models, such as Claude 3.
+  zh_Hans: Anthropic 的强大模型，例如 Claude 3。
+icon_small:
+  en_US: icon_s_en.svg
+icon_large:
+  en_US: icon_l_en.svg
+background: "#F0F0EB"
+help:
+  title:
+    en_US: Get your API Key from Anthropic
+    zh_Hans: 从 Anthropic 获取 API Key
+  url:
+    en_US: https://console.anthropic.com/account/keys
+supported_model_types:
+  - llm
+configurate_methods:
+  - predefined-model
+provider_credential_schema:
+  credential_form_schemas:
+    - variable: anthropic_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: anthropic_api_url
+      label:
+        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/v1/
+recommend: true
+sort: 2

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

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

@@ -0,0 +1,4 @@
+<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
+<rect width="24" height="24" rx="6" fill="#CA9F7B"/>
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+</svg>

ai-provider/model-runtime/model-providers/authropic/llm/_position.yaml

@@ -0,0 +1,8 @@
+- claude-3-5-sonnet-20240620
+- claude-3-haiku-20240307
+- claude-3-opus-20240229
+- claude-3-sonnet-20240229
+- claude-2.1
+- claude-instant-1.2
+- claude-2
+- claude-instant-1

ai-provider/model-runtime/model-providers/authropic/llm/claude-2.1.yaml

@@ -0,0 +1,36 @@
+model: claude-2.1
+label:
+  en_US: claude-2.1
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 200000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    help:
+      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
+      en_US: Only sample from the top K options for each subsequent token.
+    required: false
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '8.00'
+  output: '24.00'
+  unit: '0.000001'
+  currency: USD

ai-provider/model-runtime/model-providers/authropic/llm/claude-2.yaml

@@ -0,0 +1,37 @@
+model: claude-2
+label:
+  en_US: claude-2
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 100000
+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: 4096
+    min: 1
+    max: 4096
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '8.00'
+  output: '24.00'
+  unit: '0.000001'
+  currency: USD
+deprecated: true

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-20240620.yaml

@@ -0,0 +1,39 @@
+model: claude-3-5-sonnet-20240620
+label:
+  en_US: claude-3-5-sonnet-20240620
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - 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: '3.00'
+  output: '15.00'
+  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/authropic/llm/claude-3-haiku-20240307.yaml

@@ -0,0 +1,39 @@
+model: claude-3-haiku-20240307
+label:
+  en_US: claude-3-haiku-20240307
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - 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: 4096
+    min: 1
+    max: 4096
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '0.25'
+  output: '1.25'
+  unit: '0.000001'
+  currency: USD

ai-provider/model-runtime/model-providers/authropic/llm/claude-3-opus-20240229.yaml

@@ -0,0 +1,39 @@
+model: claude-3-opus-20240229
+label:
+  en_US: claude-3-opus-20240229
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - 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: 4096
+    min: 1
+    max: 4096
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '15.00'
+  output: '75.00'
+  unit: '0.000001'
+  currency: USD

ai-provider/model-runtime/model-providers/authropic/llm/claude-3-sonnet-20240229.yaml

@@ -0,0 +1,39 @@
+model: claude-3-sonnet-20240229
+label:
+  en_US: claude-3-sonnet-20240229
+model_type: llm
+features:
+  - agent-thought
+  - vision
+  - 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: 4096
+    min: 1
+    max: 4096
+  - 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/authropic/llm/claude-instant-1.2.yaml

@@ -0,0 +1,36 @@
+model: claude-instant-1.2
+label:
+  en_US: claude-instant-1.2
+model_type: llm
+features: [ ]
+model_properties:
+  mode: chat
+  context_size: 100000
+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: 4096
+    min: 1
+    max: 4096
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '1.63'
+  output: '5.51'
+  unit: '0.000001'
+  currency: USD
+deprecated: true

ai-provider/model-runtime/model-providers/authropic/llm/claude-instant-1.yaml

@@ -0,0 +1,36 @@
+model: claude-instant-1
+label:
+  en_US: claude-instant-1
+model_type: llm
+features: [ ]
+model_properties:
+  mode: chat
+  context_size: 100000
+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: 4096
+    min: 1
+    max: 4096
+  - name: response_format
+    use_template: response_format
+pricing:
+  input: '1.63'
+  output: '5.51'
+  unit: '0.000001'
+  currency: USD
+deprecated: true

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

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+<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
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+<path id="Union" fill-rule="evenodd" clip-rule="evenodd" d="M8.58154 1.7793H5.52779L3.34655 6.20409V17.7335L0.916016 22.2206H6.21333L8.58154 17.7335V1.7793ZM10.5761 1.7793H15.8111V22.2206H10.5761V1.7793ZM22.9166 1.7793H17.6816V6.01712H22.9166V1.7793ZM22.9166 7.38818H17.6816V22.2206H22.9166V7.38818Z" fill="url(#paint0_radial_11622_96084)"/>
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ai-provider/model-runtime/model-providers/baichuan/baichuan.yaml

@@ -0,0 +1,38 @@
+provider: baichuan
+label:
+  en_US: Baichuan
+icon_small:
+  en_US: icon_s_en.svg
+icon_large:
+  en_US: icon_l_en.svg
+background: "#FFF6F2"
+help:
+  title:
+    en_US: Get your API Key from BAICHUAN AI
+    zh_Hans: 从百川智能获取您的 API Key
+  url:
+    en_US: https://www.baichuan-ai.com
+supported_model_types:
+  - llm
+  - text-embedding
+configurate_methods:
+  - predefined-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://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/baichuan/llm/baichuan2-53b.yaml

@@ -0,0 +1,46 @@
+model: baichuan2-53b
+label:
+  en_US: Baichuan2-53B
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 32000
+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: 1000
+    min: 1
+    max: 4000
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    default: 1
+    min: 1
+    max: 2
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+deprecated: true

ai-provider/model-runtime/model-providers/baichuan/llm/baichuan2-turbo-192k.yaml

@@ -0,0 +1,46 @@
+model: baichuan2-turbo-192k
+label:
+  en_US: Baichuan2-Turbo-192K
+model_type: llm
+features:
+  - agent-thought
+model_properties:
+  mode: chat
+  context_size: 192000
+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: 8000
+    min: 1
+    max: 192000
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+    default: 1
+    min: 1
+    max: 2
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false
+deprecated: true

ai-provider/model-runtime/model-providers/baichuan/llm/baichuan2-turbo.yaml

@@ -0,0 +1,41 @@
+model: baichuan2-turbo
+label:
+  en_US: Baichuan2-Turbo
+model_type: llm
+features:
+  - agent-thought
+  - multi-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.3
+  - name: top_p
+    use_template: top_p
+    default: 0.85
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    min: 0
+    max: 20
+    default: 5
+    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
+    default: 2048
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false

ai-provider/model-runtime/model-providers/baichuan/llm/baichuan3-turbo-128k.yaml

@@ -0,0 +1,53 @@
+model: baichuan3-turbo-128k
+label:
+  en_US: Baichuan3-Turbo-128k
+model_type: llm
+features:
+  - agent-thought
+  - multi-tool-call
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.3
+  - name: top_p
+    use_template: top_p
+    default: 0.85
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    min: 0
+    max: 20
+    default: 5
+    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
+    default: 2048
+  - name: res_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
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false

ai-provider/model-runtime/model-providers/baichuan/llm/baichuan3-turbo.yaml

@@ -0,0 +1,53 @@
+model: baichuan3-turbo
+label:
+  en_US: Baichuan3-Turbo
+model_type: llm
+features:
+  - agent-thought
+  - multi-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.3
+  - name: top_p
+    use_template: top_p
+    default: 0.85
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    min: 0
+    max: 20
+    default: 5
+    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
+    default: 2048
+  - name: res_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
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false

ai-provider/model-runtime/model-providers/baichuan/llm/baichuan4.yaml

@@ -0,0 +1,53 @@
+model: baichuan4
+label:
+  en_US: Baichuan4
+model_type: llm
+features:
+  - agent-thought
+  - multi-tool-call
+model_properties:
+  mode: chat
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.3
+  - name: top_p
+    use_template: top_p
+    default: 0.85
+  - name: top_k
+    label:
+      zh_Hans: 取样数量
+      en_US: Top k
+    type: int
+    min: 0
+    max: 20
+    default: 5
+    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
+    default: 2048
+  - name: res_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
+  - name: with_search_enhance
+    label:
+      zh_Hans: 搜索增强
+      en_US: Search Enhance
+    type: boolean
+    help:
+      zh_Hans: 允许模型自行进行外部搜索，以增强生成结果。
+      en_US: Allow the model to perform external search to enhance the generation results.
+    required: false

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

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

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+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/assets/icon_l_en.svg

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

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+provider: bedrock
+label:
+  en_US: AWS Bedrock
+description:
+  en_US: AWS Bedrock's models.
+icon_small:
+  en_US: icon_s_en.svg
+icon_large:
+  en_US: icon_l_en.svg
+background: "#FCFDFF"
+help:
+  title:
+    en_US: Get your Access Key and Secret Access Key from AWS Console
+  url:
+    en_US: https://console.aws.amazon.com/
+supported_model_types:
+  - llm
+  - text-embedding
+configurate_methods:
+  - predefined-model
+provider_credential_schema:
+  credential_form_schemas:
+    - variable: aws_access_key_id
+      required: false
+      label:
+        en_US: Access Key (If not provided, credentials are obtained from the running environment.)
+        zh_Hans: Access Key
+      type: secret-input
+      placeholder:
+        en_US: Enter your Access Key
+        zh_Hans: 在此输入您的 Access Key
+    - variable: aws_secret_access_key
+      required: false
+      label:
+        en_US: Secret Access Key
+        zh_Hans: Secret Access Key
+      type: secret-input
+      placeholder:
+        en_US: Enter your Secret Access Key
+        zh_Hans: 在此输入您的 Secret Access Key
+    - variable: aws_region
+      required: true
+      label:
+        en_US: AWS Region
+        zh_Hans: AWS 地区
+      type: select
+      default: us-east-1
+      options:
+        - value: us-east-1
+          label:
+            en_US: US East (N. Virginia)
+            zh_Hans: 美国东部 (弗吉尼亚北部)
+        - value: us-west-2
+          label:
+            en_US: US West (Oregon)
+            zh_Hans: 美国西部 (俄勒冈州)
+        - value: ap-southeast-1
+          label:
+            en_US: Asia Pacific (Singapore)
+            zh_Hans: 亚太地区 (新加坡)
+        - value: ap-northeast-1
+          label:
+            en_US: Asia Pacific (Tokyo)
+            zh_Hans: 亚太地区 (东京)
+        - value: eu-central-1
+          label:
+            en_US: Europe (Frankfurt)
+            zh_Hans: 欧洲 (法兰克福)
+        - value: eu-west-2
+          label:
+            en_US: Eu west London (London)
+            zh_Hans: 欧洲西部 (伦敦)
+        - value: us-gov-west-1
+          label:
+            en_US: AWS GovCloud (US-West)
+            zh_Hans: AWS GovCloud (US-West)
+        - value: ap-southeast-2
+          label:
+            en_US: Asia Pacific (Sydney)
+            zh_Hans: 亚太地区 (悉尼)
+    - variable: model_for_validation
+      required: false
+      label:
+        en_US: Available Model Name
+        zh_Hans: 可用模型名称
+      type: text-input
+      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: "{}"
+address: https://bedrock-runtime.amazonaws.com
+sort: 4
+recommend: true

ai-provider/model-runtime/model-providers/bedrock/llm/ai21.j2-mid-v1.yaml

@@ -0,0 +1,47 @@
+model: ai21.j2-mid-v1
+label:
+  en_US: J2 Mid V1
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 8191
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: topP
+    use_template: top_p
+  - name: maxTokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 2048
+  - name: count_penalty
+    label:
+      en_US: Count Penalty
+    required: false
+    type: float
+    default: 0
+    min: 0
+    max: 1
+  - name: presence_penalty
+    label:
+      en_US: Presence Penalty
+    required: false
+    type: float
+    default: 0
+    min: 0
+    max: 5
+  - name: frequency_penalty
+    label:
+      en_US: Frequency Penalty
+    required: false
+    type: float
+    default: 0
+    min: 0
+    max: 500
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/ai21.j2-ultra-v1.yaml

@@ -0,0 +1,47 @@
+model: ai21.j2-ultra-v1
+label:
+  en_US: J2 Ultra V1
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 8191
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: topP
+    use_template: top_p
+  - name: maxTokens
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 2048
+  - name: count_penalty
+    label:
+      en_US: Count Penalty
+    required: false
+    type: float
+    default: 0
+    min: 0
+    max: 1
+  - name: presence_penalty
+    label:
+      en_US: Presence Penalty
+    required: false
+    type: float
+    default: 0
+    min: 0
+    max: 5
+  - name: frequency_penalty
+    label:
+      en_US: Frequency Penalty
+    required: false
+    type: float
+    default: 0
+    min: 0
+    max: 500
+pricing:
+  input: '0.00'
+  output: '0.00'
+  unit: '0.000001'
+  currency: USD

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/amazon.titan-text-express-v1.yaml

@@ -0,0 +1,23 @@
+model: amazon.titan-text-express-v1
+label:
+  en_US: Titan Text G1 - Express
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: topP
+    use_template: top_p
+  - name: maxTokenCount
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 8000
+pricing:
+  input: '0.0008'
+  output: '0.0016'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,23 @@
+model: amazon.titan-text-lite-v1
+label:
+  en_US: Titan Text G1 - Lite
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 4096
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: topP
+    use_template: top_p
+  - name: maxTokenCount
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 2048
+pricing:
+  input: '0.0003'
+  output: '0.0004'
+  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-haiku-v1.yaml

@@ -0,0 +1,61 @@
+model: anthropic.claude-3-haiku-20240307-v1:0
+label:
+  en_US: Claude 3 Haiku
+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.
+  # 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: '0.00025'
+  output: '0.00125'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,61 @@
+model: anthropic.claude-3-opus-20240229-v1:0
+label:
+  en_US: Claude 3 Opus
+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.
+  # 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: '0.015'
+  output: '0.075'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,60 @@
+model: anthropic.claude-3-5-sonnet-20240620-v1:0
+label:
+  en_US: Claude 3.5 Sonnet
+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/anthropic.claude-3-sonnet-v1.yaml

@@ -0,0 +1,60 @@
+model: anthropic.claude-3-sonnet-20240229-v1:0
+label:
+  en_US: Claude 3 Sonnet
+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/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/anthropic.claude-instant-v1.yaml

@@ -0,0 +1,52 @@
+model: anthropic.claude-instant-v1
+label:
+  en_US: Claude Instant 1
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 100000
+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.
+pricing:
+  input: '0.0008'
+  output: '0.0024'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,53 @@
+model: anthropic.claude-v1
+label:
+  en_US: Claude 1
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 100000
+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.
+pricing:
+  input: '0.008'
+  output: '0.024'
+  unit: '0.001'
+  currency: USD
+deprecated: true

ai-provider/model-runtime/model-providers/bedrock/llm/anthropic.claude-v2.1.yaml

@@ -0,0 +1,54 @@
+model: anthropic.claude-v2:1
+label:
+  en_US: Claude 2.1
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 200000
+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: '0.008'
+  output: '0.024'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,54 @@
+model: anthropic.claude-v2
+label:
+  en_US: Claude 2
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 100000
+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: '0.008'
+  output: '0.024'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/cohere.command-light-text-v14.yaml

@@ -0,0 +1,35 @@
+model: cohere.command-light-text-v14
+label:
+  en_US: Command Light Text V14
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 4096
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: p
+    use_template: top_p
+  - name: 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
+    min: 0
+    max: 500
+    default: 0
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 4096
+    min: 1
+    max: 4096
+pricing:
+  input: '0.0003'
+  output: '0.0006'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/cohere.command-r-plus-v1.0.yaml

@@ -0,0 +1,44 @@
+model: cohere.command-r-plus-v1:0
+label:
+  en_US: Command R+
+model_type: llm
+features:
+  - tool-call
+  #- stream-tool-call
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    max: 5.0
+  - name: p
+    use_template: top_p
+    default: 0.75
+    min: 0.01
+    max: 0.99
+  - name: 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
+    default: 0
+    min: 0
+    max: 500
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    max: 4096
+pricing:
+  input: '3'
+  output: '15'
+  unit: '0.000001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/cohere.command-r-v1.0.yaml

@@ -0,0 +1,43 @@
+model: cohere.command-r-v1:0
+label:
+  en_US: Command R
+model_type: llm
+features:
+  - tool-call
+model_properties:
+  mode: chat
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    max: 5.0
+  - name: p
+    use_template: top_p
+    default: 0.75
+    min: 0.01
+    max: 0.99
+  - name: 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
+    default: 0
+    min: 0
+    max: 500
+  - name: presence_penalty
+    use_template: presence_penalty
+  - name: frequency_penalty
+    use_template: frequency_penalty
+  - name: max_tokens
+    use_template: max_tokens
+    default: 1024
+    max: 4096
+pricing:
+  input: '0.5'
+  output: '1.5'
+  unit: '0.000001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/cohere.command-text-v14.yaml

@@ -0,0 +1,32 @@
+model: cohere.command-text-v14
+label:
+  en_US: Command Text V14
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 4096
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: p
+    use_template: top_p
+  - name: 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: 4096
+    min: 1
+    max: 4096
+pricing:
+  input: '0.0015'
+  output: '0.0020'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,59 @@
+model: eu.anthropic.claude-3-haiku-20240307-v1:0
+label:
+  en_US: Claude 3 Haiku(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.
+  # 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.
+pricing:
+  input: '0.00025'
+  output: '0.00125'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,58 @@
+model: eu.anthropic.claude-3-5-sonnet-20240620-v1:0
+label:
+  en_US: Claude 3.5 Sonnet(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.
+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-v1.yaml

@@ -0,0 +1,58 @@
+model: eu.anthropic.claude-3-sonnet-20240229-v1:0
+label:
+  en_US: Claude 3 Sonnet(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.
+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/meta.llama2-13b-chat-v1.yaml

@@ -0,0 +1,23 @@
+model: meta.llama2-13b-chat-v1
+label:
+  en_US: Llama 2 Chat 13B
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 4096
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 2048
+pricing:
+  input: '0.00075'
+  output: '0.00100'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/meta.llama2-70b-chat-v1.yaml

@@ -0,0 +1,23 @@
+model: meta.llama2-70b-chat-v1
+label:
+  en_US: Llama 2 Chat 70B
+model_type: llm
+model_properties:
+  mode: chat
+  context_size: 4096
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - name: top_p
+    use_template: top_p
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 2048
+    min: 1
+    max: 2048
+pricing:
+  input: '0.00195'
+  output: '0.00256'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/meta.llama3-1-405b-instruct-v1.0.yaml

@@ -0,0 +1,25 @@
+model: meta.llama3-1-405b-instruct-v1:0
+label:
+  en_US: Llama 3.1 405B Instruct
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+  - name: top_p
+    use_template: top_p
+    default: 0.9
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 2048
+pricing:
+  input: '0.00532'
+  output: '0.016'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/meta.llama3-1-70b-instruct-v1.0.yaml

@@ -0,0 +1,25 @@
+model: meta.llama3-1-70b-instruct-v1:0
+label:
+  en_US: Llama 3.1 Instruct 70B
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+  - name: top_p
+    use_template: top_p
+    default: 0.9
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 2048
+pricing:
+  input: '0.00265'
+  output: '0.0035'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/meta.llama3-1-8b-instruct-v1.0.yaml

@@ -0,0 +1,25 @@
+model: meta.llama3-1-8b-instruct-v1:0
+label:
+  en_US: Llama 3.1 Instruct 8B
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    default: 0.5
+  - name: top_p
+    use_template: top_p
+    default: 0.9
+  - name: max_gen_len
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 2048
+pricing:
+  input: '0.0003'
+  output: '0.0006'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/meta.llama3-70b-instruct-v1.yaml

@@ -0,0 +1,23 @@
+model: meta.llama3-70b-instruct-v1:0
+label:
+  en_US: Llama 3 Instruct 70B
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - 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: '0.00265'
+  output: '0.0035'
+  unit: '0.00001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/meta.llama3-8b-instruct-v1.yaml

@@ -0,0 +1,23 @@
+model: meta.llama3-8b-instruct-v1:0
+label:
+  en_US: Llama 3 Instruct 8B
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 8192
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+  - 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: '0.0004'
+  output: '0.0006'
+  unit: '0.0001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/mistral.mistral-7b-instruct-v0.2.yaml

@@ -0,0 +1,39 @@
+model: mistral.mistral-7b-instruct-v0:2
+label:
+  en_US: Mistral 7B Instruct
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    required: false
+    default: 0.5
+  - name: top_p
+    use_template: top_p
+    required: false
+    default: 0.9
+  - name: top_k
+    use_template: 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
+    default: 50
+    max: 200
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 8192
+pricing:
+  input: '0.00015'
+  output: '0.0002'
+  unit: '0.00001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/mistral.mistral-large-2402-v1.0.yaml

@@ -0,0 +1,30 @@
+model: mistral.mistral-large-2402-v1:0
+label:
+  en_US: Mistral Large
+model_type: llm
+features:
+  - tool-call
+  - agent-thought
+model_properties:
+  mode: completion
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    required: false
+    default: 0.7
+  - name: top_p
+    use_template: top_p
+    required: false
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 4096
+pricing:
+  input: '0.008'
+  output: '0.024'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/mistral.mistral-large-2407-v1.0.yaml

@@ -0,0 +1,29 @@
+model: mistral.mistral-large-2407-v1:0
+label:
+  en_US: Mistral Large 2 (24.07)
+model_type: llm
+features:
+  - tool-call
+model_properties:
+  mode: completion
+  context_size: 128000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    required: false
+    default: 0.7
+  - name: top_p
+    use_template: top_p
+    required: false
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 8192
+pricing:
+  input: '0.003'
+  output: '0.009'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/mistral.mistral-small-2402-v1.0.yaml

@@ -0,0 +1,29 @@
+model: mistral.mistral-small-2402-v1:0
+label:
+  en_US: Mistral Small
+model_type: llm
+features:
+  - tool-call
+model_properties:
+  mode: completion
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    required: false
+    default: 0.7
+  - name: top_p
+    use_template: top_p
+    required: false
+    default: 1
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 4096
+pricing:
+  input: '0.001'
+  output: '0.03'
+  unit: '0.001'
+  currency: USD

ai-provider/model-runtime/model-providers/bedrock/llm/mistral.mixtral-8x7b-instruct-v0.1.yaml

@@ -0,0 +1,39 @@
+model: mistral.mixtral-8x7b-instruct-v0:1
+label:
+  en_US: Mixtral 8X7B Instruct
+model_type: llm
+model_properties:
+  mode: completion
+  context_size: 32000
+parameter_rules:
+  - name: temperature
+    use_template: temperature
+    required: false
+    default: 0.5
+  - name: top_p
+    use_template: top_p
+    required: false
+    default: 0.9
+  - name: top_k
+    use_template: 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
+    default: 50
+    max: 200
+  - name: max_tokens
+    use_template: max_tokens
+    required: true
+    default: 512
+    min: 1
+    max: 8192
+pricing:
+  input: '0.00045'
+  output: '0.0007'
+  unit: '0.00001'
+  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-haiku-v1.yaml

@@ -0,0 +1,59 @@
+model: us.anthropic.claude-3-haiku-20240307-v1:0
+label:
+  en_US: Claude 3 Haiku(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: 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.
+  # 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.
+pricing:
+  input: '0.00025'
+  output: '0.00125'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,59 @@
+model: us.anthropic.claude-3-opus-20240229-v1:0
+label:
+  en_US: Claude 3 Opus(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: 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.
+  # 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.
+pricing:
+  input: '0.015'
+  output: '0.075'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,58 @@
+model: us.anthropic.claude-3-5-sonnet-20240620-v1:0
+label:
+  en_US: Claude 3.5 Sonnet(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: 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.
+pricing:
+  input: '0.003'
+  output: '0.015'
+  unit: '0.001'
+  currency: USD

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

@@ -0,0 +1,58 @@
+model: us.anthropic.claude-3-sonnet-20240229-v1:0
+label:
+  en_US: Claude 3 Sonnet(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: 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.
+pricing:
+  input: '0.003'
+  output: '0.015'
+  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