add tool resource

2026-01-10 16:34:15 +00:00 · 2024-05-10 18:08:49 +08:00 · 2024-05-10 16:50:19 +08:00 · 2024-05-09 18:24:51 +08:00
427 changed files with 2575 additions and 13216 deletions
--- a/.devcontainer/README.md
+++ b/.devcontainer/README.md
@@ -1,4 +1,4 @@
-# Development with devcontainer
+# Devlopment with devcontainer
 This project includes a devcontainer configuration that allows you to open the project in a container with a fully configured development environment.
 Both frontend and backend environments are initialized when the container is started.
 ## GitHub Codespaces
@@ -33,5 +33,5 @@ Performance Impact: While usually minimal, programs running inside a devcontaine
 if you see such error message when you open this project in codespaces:
 ![Alt text](troubleshooting.png)

-a simple workaround is change `/signin` endpoint into another one, then login with GitHub account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
+a simple workaround is change `/signin` endpoint into another one, then login with github account and close the tab, then change it back to `/signin` endpoint. Then all things will be fine.
 The reason is `signin` endpoint is not allowed in codespaces, details can be found [here](https://github.com/orgs/community/discussions/5204)
--- a/.github/ISSUE_TEMPLATE/bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -8,13 +8,13 @@ body:
      label: Self Checks
      description: "To make sure we get to you in time, please check the following :)"
      options:
-        - label: This is only for bug report, if you would like to ask a question, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
+        - label: This is only for bug report, if you would like to ask a quesion, please head to [Discussions](https://github.com/langgenius/dify/discussions/categories/general).
          required: true
        - label: I have searched for existing issues [search for existing issues](https://github.com/langgenius/dify/issues), including closed ones.
          required: true
        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
          required: true

  - type: input
--- a/.github/ISSUE_TEMPLATE/document_issue.yml
+++ b/.github/ISSUE_TEMPLATE/document_issue.yml
@@ -1,7 +1,7 @@
 name: "📚 Documentation Issue"
 description: Report issues in our documentation
 labels:
-  - documentation
+  - ducumentation
 body:
  - type: checkboxes
    attributes:
@@ -12,7 +12,7 @@ body:
          required: true
        - label: I confirm that I am using English to submit report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
          required: true
  - type: textarea
    attributes:
--- a/.github/ISSUE_TEMPLATE/feature_request.yml
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -12,7 +12,7 @@ body:
          required: true
        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
          required: true
  - type: textarea
    attributes:
--- a/.github/ISSUE_TEMPLATE/translation_issue.yml
+++ b/.github/ISSUE_TEMPLATE/translation_issue.yml
@@ -12,7 +12,7 @@ body:
          required: true
        - label: I confirm that I am using English to submit this report (我已阅读并同意 [Language Policy](https://github.com/langgenius/dify/issues/1542)).
          required: true
-        - label: "Please do not modify this template :) and fill in all the required fields."
+        - label: "Pleas do not modify this template :) and fill in all the required fields."
          required: true
  - type: input
    attributes:
--- a/.github/workflows/api-tests.yml
+++ b/.github/workflows/api-tests.yml
@@ -46,12 +46,11 @@ jobs:
            docker/docker-compose.middleware.yaml
          services: |
            sandbox
-            ssrf_proxy

      - name: Run Workflow
        run: dev/pytest/pytest_workflow.sh

-      - name: Set up Vector Stores (Weaviate, Qdrant, PGVector, Milvus, PgVecto-RS)
+      - name: Set up Vector Stores (Weaviate, Qdrant, Milvus, PgVecto-RS)
        uses: hoverkraft-tech/compose-action@v2.0.0
        with:
          compose-file: |
@@ -59,7 +58,6 @@ jobs:
            docker/docker-compose.qdrant.yaml
            docker/docker-compose.milvus.yaml
            docker/docker-compose.pgvecto-rs.yaml
-            docker/docker-compose.pgvector.yaml
          services: |
            weaviate
            qdrant
@@ -67,7 +65,6 @@ jobs:
            minio
            milvus-standalone
            pgvecto-rs
-            pgvector

      - name: Test Vector Stores
        run: dev/pytest/pytest_vdb.sh
--- a/CONTRIBUTING_JA.md
+++ b/CONTRIBUTING_JA.md
@@ -1,160 +0,0 @@
-Dify にコントリビュートしたいとお考えなのですね。それは素晴らしいことです。
-私たちは、LLM アプリケーションの構築と管理のための最も直感的なワークフローを設計するという壮大な野望を持っています。人数も資金も限られている新興企業として、コミュニティからの支援は本当に重要です。
-
-私たちは現状を鑑み、機敏かつ迅速に開発をする必要がありますが、同時にあなたのようなコントリビューターの方々に、可能な限りスムーズな貢献体験をしていただきたいと思っています。そのためにこのコントリビュートガイドを作成しました。
-コードベースやコントリビュータの方々と私たちがどのように仕事をしているのかに慣れていただき、楽しいパートにすぐに飛び込めるようにすることが目的です。
-
-このガイドは Dify そのものと同様に、継続的に改善されています。実際のプロジェクトに遅れをとることがあるかもしれませんが、ご理解をお願いします。
-
-ライセンスに関しては、私たちの短い[ライセンスおよびコントリビューター規約](./LICENSE)をお読みください。また、コミュニティは[行動規範](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md)を遵守しています。
-
-## 飛び込む前に
-
-[既存の Issue](https://github.com/langgenius/dify/issues?q=is:issue+is:closed) を探すか、[新しい Issue](https://github.com/langgenius/dify/issues/new/choose) を作成してください。私たちは Issue を 2 つのタイプに分類しています。
-
-### 機能リクエスト
-
-* 新しい機能要望を出す場合は、提案する機能が何を実現するものなのかを説明し、可能な限り多くの文脈を含めてください。[@perzeusss](https://github.com/perzeuss)は、あなたの要望を書き出すのに役立つ [Feature Request Copilot](https://udify.app/chat/MK2kVSnw1gakVwMX) を作ってくれました。気軽に試してみてください。
-
-* 既存の課題から 1 つ選びたい場合は、その下にコメントを書いてください。
-
-  関連する方向で作業しているチームメンバーが参加します。すべてが良好であれば、コーディングを開始する許可が与えられます。私たちが変更を提案した場合にあなたの作業が無駄になることがないよう、それまでこの機能の作業を控えていただくようお願いいたします。
-
-  提案された機能がどの分野に属するかによって、あなたは異なるチーム・メンバーと話をするかもしれません。以下は、各チームメンバーが現在取り組んでいる分野の概要です。
-
-| Member                                                                                  | Scope                                |
-| --------------------------------------------------------------------------------------- | ------------------------------------ |
-| [@yeuoly](https://github.com/Yeuoly)                                                    | エージェントアーキテクチャ           |
-| [@jyong](https://github.com/JohnJyong)                                                  | RAG パイプライン設計                 |
-| [@GarfieldDai](https://github.com/GarfieldDai)                                          | workflow orchestrations の構築       |
-| [@iamjoel](https://github.com/iamjoel) & [@zxhlyh](https://github.com/zxhlyh)           | フロントエンドを使いやすくする       |
-| [@guchenhe](https://github.com/guchenhe) & [@crazywoola](https://github.com/crazywoola) | 開発者体験、何でも相談できる窓口     |
-| [@takatost](https://github.com/takatost)                                                | 全体的な製品の方向性とアーキテクチャ |
-
-優先順位の付け方:
-
-| Feature Type                                                                                                          | Priority        |
-| --------------------------------------------------------------------------------------------------------------------- | --------------- |
-| チームメンバーによってラベル付けされた優先度の高い機能                                                                | High Priority   |
-| [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks)の人気の機能リクエスト | Medium Priority |
-| 非コア機能とマイナーな機能強化                                                                                        | Low Priority    |
-| 価値はあるが即効性はない                                                                                              | Future-Feature  |
-
-### その他 (バグレポート、パフォーマンスの最適化、誤字の修正など)
-
-* すぐにコーディングを始めてください
-
-優先順位の付け方:
-
-| Issue Type                                                                             | Priority        |
-| -------------------------------------------------------------------------------------- | --------------- |
-| コア機能のバグ（ログインできない、アプリケーションが動作しない、セキュリティの抜け穴） | Critical        |
-| 致命的でないバグ、パフォーマンス向上                                                   | Medium Priority |
-| 細かな修正（誤字脱字、機能はするが分かりにくい UI）                                  | Low Priority    |
-
-## インストール
-
-Dify を開発用にセットアップする手順は以下の通りです。
-
-### 1. このリポジトリをフォークする
-
-### 2. リポジトリをクローンする
-
-フォークしたリポジトリをターミナルからクローンします。
-
-```
-git clone git@github.com:<github_username>/dify.git
-```
-
-### 3. 依存関係の確認
-
-Dify を構築するには次の依存関係が必要です。それらがシステムにインストールされていることを確認してください。
-
- [Docker](https://www.docker.com/)
- [Docker Compose](https://docs.docker.com/compose/install/)
- [Node.js v18.x (LTS)](http://nodejs.org)
- [npm](https://www.npmjs.com/) version 8.x.x or [Yarn](https://yarnpkg.com/)
- [Python](https://www.python.org/) version 3.10.x
-
-### 4. インストール
-
-Dify はバックエンドとフロントエンドから構成されています。
-まず`cd api/`でバックエンドのディレクトリに移動し、[Backend README](api/README.md)に従ってインストールします。
-次に別のターミナルで、`cd web/`でフロントエンドのディレクトリに移動し、[Frontend README](web/README.md)に従ってインストールしてください。
-
-よくある問題とトラブルシューティングの手順については、[installation FAQ](https://docs.dify.ai/getting-started/faq/install-faq) を確認してください。
-
-### 5. ブラウザで dify にアクセスする
-
-設定を確認するために、ブラウザで[http://localhost:3000](http://localhost:3000)(デフォルト、または自分で設定した URL とポート)にアクセスしてください。Dify が起動して実行中であることが確認できるはずです。
-
-## 開発中
-
-モデルプロバイダーを追加する場合は、[このガイド](https://github.com/langgenius/dify/blob/main/api/core/model_runtime/README.md)が役立ちます。
-
-Agent や Workflow にツールプロバイダーを追加する場合は、[このガイド](./api/core/tools/README.md)が役立ちます。
-
-Dify のバックエンドとフロントエンドの概要を簡単に説明します。
-
-### バックエンド
-
-Dify のバックエンドは[Flask](https://flask.palletsprojects.com/en/3.0.x/)を使って Python で書かれています。ORM には[SQLAlchemy](https://www.sqlalchemy.org/)を、タスクキューには[Celery](https://docs.celeryq.dev/en/stable/getting-started/introduction.html)を使っています。認証ロジックは Flask-login 経由で行われます。
-
-```
-[api/]
-├── constants             // コードベース全体で使用される定数設定
-├── controllers           // APIルート定義とリクエスト処理ロジック
-├── core                  // アプリケーションの中核的な管理、モデル統合、およびツール
-├── docker                // Dockerおよびコンテナ関連の設定
-├── events                // イベントのハンドリングと処理
-├── extensions            // 第三者のフレームワーク/プラットフォームとの拡張
-├── fields                // シリアライゼーション/マーシャリング用のフィールド定義
-├── libs                  // 再利用可能なライブラリとヘルパー
-├── migrations            // データベースマイグレーションスクリプト
-├── models                // データベースモデルとスキーマ定義
-├── services              // ビジネスロジックの定義
-├── storage               // 秘密鍵の保存
-├── tasks                 // 非同期タスクとバックグラウンドジョブの処理
-└── tests                 // テスト関連のファイル
-```
-
-### フロントエンド
-
-このウェブサイトは、Typescript の[Next.js](https://nextjs.org/)ボイラープレートでブートストラップされており、スタイリングには[Tailwind CSS](https://tailwindcss.com/)を使用しています。国際化には[React-i18next](https://react.i18next.com/)を使用しています。
-
-```
-[web/]
-├── app                   // レイアウト、ページ、コンポーネント
-│   ├── (commonLayout)    // アプリ全体で共通のレイアウト
-│   ├── (shareLayout)     // トークン特有のセッションで共有されるレイアウト
-│   ├── activate          // アクティベートページ
-│   ├── components        // ページやレイアウトで共有されるコンポーネント
-│   ├── install           // インストールページ
-│   ├── signin            // サインインページ
-│   └── styles            // グローバルに共有されるスタイル
-├── assets                // 静的アセット
-├── bin                   // ビルドステップで実行されるスクリプト
-├── config                // 調整可能な設定とオプション
-├── context               // アプリの異なる部分で使用される共有コンテキスト
-├── dictionaries          // 言語別の翻訳ファイル
-├── docker                // コンテナ設定
-├── hooks                 // 再利用可能なフック
-├── i18n                  // 国際化設定
-├── models                // データモデルとAPIレスポンスの形状を記述
-├── public                // ファビコンなどのメタアセット
-├── service               // APIアクションの形状を指定
-├── test
-├── types                 // 関数のパラメータと戻り値の記述
-└── utils                 // 共有ユーティリティ関数
-```
-
-## PR を投稿する
-
-いよいよ、私たちのリポジトリにプルリクエスト (PR) を提出する時が来ました。主要な機能については、まず `deploy/dev` ブランチにマージしてテストしてから `main` ブランチにマージします。
-マージ競合などの問題が発生した場合、またはプル リクエストを開く方法がわからない場合は、[GitHub's pull request tutorial](https://docs.github.com/en/pull-requests/collaborating-with-pull-requests) をチェックしてみてください。
-
-これで完了です！あなたの PR がマージされると、[README](https://github.com/langgenius/dify/blob/main/README.md) にコントリビューターとして紹介されます。
-
-## ヘルプを得る
-
-コントリビュート中に行き詰まったり、疑問が生じたりした場合は、GitHub の関連する issue から質問していただくか、[Discord](https://discord.gg/8Tpq4AcN9c)でチャットしてください。
--- a/README.md
+++ b/README.md
@@ -35,10 +35,13 @@
  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
 </p>

+#

+<p align="center">
+  <a href="https://trendshift.io/repositories/2152" target="_blank"><img src="https://trendshift.io/api/badge/repositories/2152" alt="langgenius%2Fdify | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+</p>
 Dify is an open-source LLM app development platform. Its intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production. Here's a list of the core features:
 </br> </br>

@@ -106,7 +109,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
    <td align="center">Agent</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
-    <td align="center">❌</td>
+    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
@@ -124,7 +127,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
    <td align="center">❌</td>
  </tr>
  <tr>
-    <td align="center">Enterprise Features (SSO/Access control)</td>
+    <td align="center">Enterprise Feature (SSO/Access control)</td>
    <td align="center">✅</td>
    <td align="center">❌</td>
    <td align="center">❌</td>
--- a/README_CN.md
+++ b/README_CN.md
@@ -35,7 +35,6 @@
  <a href="./README_ES.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/西班牙语-d9d9d9"></a>
  <a href="./README_KL.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/法语-d9d9d9"></a>
  <a href="./README_FR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/克林贡语-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="上个月的提交次数" src="https://img.shields.io/badge/韓國語-d9d9d9"></a>
 </div>


@@ -112,7 +111,7 @@ Dify 是一个开源的 LLM 应用开发平台。其直观的界面结合了 AI
    <td align="center">Agent</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
-    <td align="center">❌</td>
+    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
--- a/README_ES.md
+++ b/README_ES.md
@@ -35,7 +35,6 @@
  <a href="./README_ES.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Español-d9d9d9"></a>
  <a href="./README_KL.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Français-d9d9d9"></a>
  <a href="./README_FR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="Actividad de Commits el último mes" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
 </p>

 #
@@ -112,7 +111,7 @@ es basados en LLM Function Calling o ReAct, y agregar herramientas preconstruida
    <td align="center">Agente</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
-    <td align="center">❌</td>
+    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
--- a/README_FR.md
+++ b/README_FR.md
@@ -35,7 +35,6 @@
  <a href="./README_ES.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Español-d9d9d9"></a>
  <a href="./README_KL.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Français-d9d9d9"></a>
  <a href="./README_FR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="Commits le mois dernier" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
 </p>

 #
@@ -112,7 +111,7 @@ ités d'agent**:
    <td align="center">Agent</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
-    <td align="center">❌</td>
+    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
--- a/README_JA.md
+++ b/README_JA.md
@@ -35,7 +35,6 @@
  <a href="./README_ES.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Español-d9d9d9"></a>
  <a href="./README_KL.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Français-d9d9d9"></a>
  <a href="./README_FR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="先月のコミット" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
 </p>

 #
@@ -111,7 +110,7 @@ DifyはオープンソースのLLMアプリケーション開発プラットフ
    <td align="center">エージェント</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
-    <td align="center">❌</td>
+    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
--- a/README_KL.md
+++ b/README_KL.md
@@ -35,7 +35,6 @@
  <a href="./README_ES.md"><img alt="Commits last month" src="https://img.shields.io/badge/Español-d9d9d9"></a>
  <a href="./README_KL.md"><img alt="Commits last month" src="https://img.shields.io/badge/Français-d9d9d9"></a>
  <a href="./README_FR.md"><img alt="Commits last month" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="Commits last month" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
 </p>

 #
@@ -112,7 +111,7 @@ Dify is an open-source LLM app development platform. Its intuitive interface com
    <td align="center">Agent</td>
    <td align="center">✅</td>
    <td align="center">✅</td>
-    <td align="center">❌</td>
+    <td align="center">✅</td>
    <td align="center">✅</td>
  </tr>
  <tr>
--- a/README_KR.md
+++ b/README_KR.md
@@ -1,243 +0,0 @@
-![cover-v5-optimized](https://github.com/langgenius/dify/assets/13230914/f9e19af5-61ba-4119-b926-d10c4c06ebab)
-
-<p align="center">
-  <a href="https://cloud.dify.ai">Dify 클라우드</a> ·
-  <a href="https://docs.dify.ai/getting-started/install-self-hosted">셀프-호스팅</a> ·
-  <a href="https://docs.dify.ai">문서</a> ·
-  <a href="https://cal.com/guchenhe/60-min-meeting">기업 문의</a>
-</p>
-
-<p align="center">
-    <a href="https://dify.ai" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
-    <a href="https://dify.ai/pricing" target="_blank">
-        <img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
-    <a href="https://discord.gg/FngNHpbcY7" target="_blank">
-        <img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
-            alt="chat on Discord"></a>
-    <a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
-        <img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
-            alt="follow on Twitter"></a>
-    <a href="https://hub.docker.com/u/langgenius" target="_blank">
-        <img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
-    <a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
-        <img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
-    <a href="https://github.com/langgenius/dify/" target="_blank">
-        <img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
-    <a href="https://github.com/langgenius/dify/discussions/" target="_blank">
-        <img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
-</p>
-
-<p align="center">
-  <a href="./README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
-  <a href="./README_CN.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
-  <a href="./README_JA.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
-  <a href="./README_ES.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
-  <a href="./README_FR.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
-  <a href="./README_KL.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
-  <a href="./README_KR.md"><img alt="한국어 README" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
-
-</p>
-
-
-   Dify는 오픈 소스 LLM 앱 개발 플랫폼입니다. 직관적인 인터페이스를 통해 AI 워크플로우, RAG 파이프라인, 에이전트 기능, 모델 관리, 관찰 기능 등을 결합하여 프로토타입에서 프로덕션까지 빠르게 전환할 수 있습니다. 주요 기능 목록은 다음과 같습니다:</br> </br>
-
-**1. 워크플로우**:
-    다음 기능들을 비롯한 다양한 기능을 활용하여 시각적 캔버스에서 강력한 AI 워크플로우를 구축하고 테스트하세요.
-
-
-  https://github.com/langgenius/dify/assets/13230914/356df23e-1604-483d-80a6-9517ece318aa
-
-
-
-**2. 포괄적인 모델 지원:**: 
-
-수십 개의 추론 제공업체와 자체 호스팅 솔루션에서 제공하는 수백 개의 독점 및 오픈 소스 LLM과 원활하게 통합되며, GPT, Mistral, Llama3 및 모든 OpenAI API 호환 모델을 포함합니다. 지원되는 모델 제공업체의 전체 목록은 [여기](https://docs.dify.ai/getting-started/readme/model-providers)에서 확인할 수 있습니다.
-![providers-v5](https://github.com/langgenius/dify/assets/13230914/5a17bdbe-097a-4100-8363-40255b70f6e3)
-
-
-**3. 통합 개발환경**:
-  프롬프트를 작성하고, 모델 성능을 비교하며, 텍스트-음성 변환과 같은 추가 기능을 채팅 기반 앱에 추가할 수 있는 직관적인 인터페이스를 제공합니다.
-
-**4. RAG 파이프라인**: 
-  문서 수집부터 검색까지 모든 것을 다루며, PDF, PPT 및 기타 일반적인 문서 형식에서 텍스트 추출을 위한 기본 지원이 포함되어 있는 광범위한 RAG 기능을 제공합니다.
-
-**5. 에이전트 기능**:
-  LLM 함수 호출 또는 ReAct를 기반으로 에이전트를 정의하고 에이전트에 대해 사전 구축된 도구나 사용자 정의 도구를 추가할 수 있습니다. Dify는 Google Search, DELL·E, Stable Diffusion, WolframAlpha 등 AI 에이전트를 위한 50개 이상의 내장 도구를 제공합니다.
-
-**6. LLMOps**:
-  시간 경과에 따른 애플리케이션 로그와 성능을 모니터링하고 분석합니다. 생산 데이터와 주석을 기반으로 프롬프트, 데이터세트, 모델을 지속적으로 개선할 수 있습니다.
-
-**7. Backend-as-a-Service**:
-  Dify의 모든 제품에는 해당 API가 함께 제공되므로 Dify를 자신의 비즈니스 로직에 쉽게 통합할 수 있습니다.
-
-## 기능 비교
-<table style="width: 100%;">
-  <tr>
-    <th align="center">기능</th>
-    <th align="center">Dify.AI</th>
-    <th align="center">LangChain</th>
-    <th align="center">Flowise</th>
-    <th align="center">OpenAI Assistants API</th>
-  </tr>
-  <tr>
-    <td align="center">프로그래밍 접근 방식</td>
-    <td align="center">API + 앱 중심</td>
-    <td align="center">Python 코드</td>
-    <td align="center">앱 중심</td>
-    <td align="center">API 중심</td>
-  </tr>
-  <tr>
-    <td align="center">지원되는 LLMs</td>
-    <td align="center">다양한 종류</td>
-    <td align="center">다양한 종류</td>
-    <td align="center">다양한 종류</td>
-    <td align="center">OpenAI 전용</td>
-  </tr>
-  <tr>
-    <td align="center">RAG 엔진</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">에이전트</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-  </tr>
-  <tr>
-    <td align="center">워크플로우</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">가시성</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">기업용 기능 (SSO/접근 제어)</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-    <td align="center">❌</td>
-  </tr>
-  <tr>
-    <td align="center">로컬 배포</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">✅</td>
-    <td align="center">❌</td>
-  </tr>
-</table>
-
-## Dify 사용하기
-
- **클라우드 </br>**
-  우리는 누구나 설정이 필요 없이 사용해 볼 수 있도록 [Dify 클라우드](https://dify.ai) 서비스를 호스팅합니다. 이는 자체 배포 버전의 모든 기능을 제공하며, 샌드박스 플랜에서 무료로 200회의 GPT-4 호출을 포함합니다.
-
- **셀프-호스팅 Dify 커뮤니티 에디션</br>**
-  환경에서 Dify를 빠르게 실행하려면 이  [스타터 가이드를](#quick-start) 참조하세요.
-  추가 참조 및 더 심층적인 지침은 [문서](https://docs.dify.ai)를 사용하세요.
-
- **기업 / 조직을 위한 Dify</br>**
-  우리는 추가적인 기업 중심 기능을 제공합니다. 당사와 [미팅일정](https://cal.com/guchenhe/30min)을 잡거나  [이메일 보내기](mailto:business@dify.ai?subject=[GitHub]Business%20License%20Inquiry)를 통해 기업 요구 사항을 논의하십시오. </br>
-  > AWS를 사용하는 스타트업 및 중소기업의 경우 [AWS Marketplace에서 Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6)을 확인하고 한 번의 클릭으로 자체 AWS VPC에 배포하십시오. 맞춤형 로고와 브랜딩이 포함된 앱을 생성할 수 있는 옵션이 포함된 저렴한 AMI 제품입니다.
-
-
-
-## 앞서가기
-
-GitHub에서 Dify에 별표를 찍어 새로운 릴리스를 즉시 알림 받으세요.
-
-![star-us](https://github.com/langgenius/dify/assets/13230914/b823edc1-6388-4e25-ad45-2f6b187adbb4)
-
-
-
-## 빠른 시작
->Dify를 설치하기 전에 컴퓨터가 다음과 같은 최소 시스템 요구 사항을 충족하는지 확인하세요 : 
->- CPU >= 2 Core
->- RAM >= 4GB
-
-</br>
-
-Dify 서버를 시작하는 가장 쉬운 방법은 [docker-compose.yml](docker/docker-compose.yaml) 파일을 실행하는 것입니다. 설치 명령을 실행하기 전에 [Docker](https://docs.docker.com/get-docker/) 및 [Docker Compose](https://docs.docker.com/compose/install/)가 머신에 설치되어 있는지 확인하세요.
-
-```bash
-cd docker
-docker compose up -d
-```
-
-실행 후 브라우저의 [http://localhost/install](http://localhost/install) 에서 Dify 대시보드에 액세스하고 초기화 프로세스를 시작할 수 있습니다.
-
-> Dify에 기여하거나 추가 개발을 하고 싶다면 소스 코드에서 [배포에 대한 가이드](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code)를 참조하세요.
-
-## 다음 단계
-
-구성 커스터마이징이 필요한 경우, [docker-compose.yml](docker/docker-compose.yaml) 파일의 코멘트를 참조하여 환경 구성을 수동으로 설정하십시오. 변경 후 `docker-compose up -d` 를 다시 실행하십시오. 환경 변수의 전체 목록은 [여기](https://docs.dify.ai/getting-started/install-self-hosted/environments)에서 확인할 수 있습니다.
-
-
-고가용성 설정을 구성하려면 Dify를 Kubernetes에 배포할 수 있는 커뮤니티 제공 [Helm Charts](https://helm.sh/)가 있습니다.
-
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
-
-
-## 기여
-
-코드에 기여하고 싶은 분들은 [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요.
-동시에 Dify를 소셜 미디어와 행사 및 컨퍼런스에 공유하여 지원하는 것을 고려해 주시기 바랍니다.
-
-
-> 우리는 Dify를 중국어나 영어 이외의 언어로 번역하는 데 도움을 줄 수 있는 기여자를 찾고 있습니다. 도움을 주고 싶으시다면 [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n/README.md)에서 더 많은 정보를 확인하시고 [Discord 커뮤니티 서버](https://discord.gg/8Tpq4AcN9c)의 `global-users` 채널에 댓글을 남겨주세요. 
-
-**기여자**
-
-<a href="https://github.com/langgenius/dify/graphs/contributors">
-  <img src="https://contrib.rocks/image?repo=langgenius/dify" />
-</a>
-
-## 커뮤니티 & 연락처
-
-* [Github 토론](https://github.com/langgenius/dify/discussions). 피드백 공유 및 질문하기에 적합합니다.
-* [GitHub 이슈](https://github.com/langgenius/dify/issues). Dify.AI 사용 중 발견한 버그와 기능 제안에 적합합니다. [기여 가이드](https://github.com/langgenius/dify/blob/main/CONTRIBUTING.md)를 참조하세요. 
-* [이메일](mailto:support@dify.ai?subject=[GitHub]Questions%20About%20Dify). Dify.AI 사용에 대한 질문하기에 적합합니다.
-* [디스코드](https://discord.gg/FngNHpbcY7). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
-* [트위터](https://twitter.com/dify_ai). 애플리케이션 공유 및 커뮤니티와 소통하기에 적합합니다.
-
-또는 팀원과 직접 미팅을 예약하세요:
-
-<table>
-  <tr>
-    <th>연락처</th>
-    <th>목적</th>
-  </tr>
-  <tr>
-    <td><a href='https://cal.com/guchenhe/15min' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/9ebcd111-1205-4d71-83d5-948d70b809f5' alt='Git-Hub-README-Button-3x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
-    <td>비즈니스 문의 및 제품 피드백</td>
-  </tr>
-  <tr>
-    <td><a href='https://cal.com/pinkbanana' target='_blank'><img class="schedule-button" src='https://github.com/langgenius/dify/assets/13230914/d1edd00a-d7e4-4513-be6c-e57038e143fd' alt='Git-Hub-README-Button-2x' style="width: 180px; height: auto; object-fit: contain;"/></a></td>
-    <td>기여, 이슈 및 기능 요청</td>
-  </tr>
-</table>
-
-## Star 히스토리
-
-[![Star History Chart](https://api.star-history.com/svg?repos=langgenius/dify&type=Date)](https://star-history.com/#langgenius/dify&Date)
-
-
-## 보안 공개
-
-개인정보 보호를 위해 보안 문제를 GitHub에 게시하지 마십시오. 대신 security@dify.ai로 질문을 보내주시면 더 자세한 답변을 드리겠습니다.
-
-## 라이선스
-
-이 저장소는 기본적으로 몇 가지 추가 제한 사항이 있는 Apache 2.0인 [Dify 오픈 소스 라이선스](LICENSE)에 따라 사용할 수 있습니다.
--- a/api/.env.example
+++ b/api/.env.example
@@ -65,7 +65,7 @@ GOOGLE_STORAGE_SERVICE_ACCOUNT_JSON=your-google-service-account-json-base64-stri
 WEB_API_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*
 CONSOLE_CORS_ALLOW_ORIGINS=http://127.0.0.1:3000,*

-# Vector database configuration, support: weaviate, qdrant, milvus, relyt, pgvecto_rs, pgvector
+# Vector database configuration, support: weaviate, qdrant, milvus, relyt, pgvecto_rs
 VECTOR_STORE=weaviate

 # Weaviate configuration
@@ -102,13 +102,6 @@ PGVECTO_RS_USER=postgres
 PGVECTO_RS_PASSWORD=difyai123456
 PGVECTO_RS_DATABASE=postgres

-# PGVector configuration
-PGVECTOR_HOST=127.0.0.1
-PGVECTOR_PORT=5433
-PGVECTOR_USER=postgres
-PGVECTOR_PASSWORD=postgres
-PGVECTOR_DATABASE=postgres
-
 # Upload configuration
 UPLOAD_FILE_SIZE_LIMIT=15
 UPLOAD_FILE_BATCH_LIMIT=5
@@ -144,7 +137,6 @@ NOTION_INTERNAL_SECRET=you-internal-secret

 ETL_TYPE=dify
 UNSTRUCTURED_API_URL=
-UNSTRUCTURED_API_KEY=

 SSRF_PROXY_HTTP_URL=
 SSRF_PROXY_HTTPS_URL=
@@ -176,6 +168,3 @@ HTTP_REQUEST_NODE_MAX_TEXT_SIZE=1048576 # 1MB

 # Log file path
 LOG_FILE=
-
-# Indexing configuration
-INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH=1000
--- a/api/commands.py
+++ b/api/commands.py
@@ -305,14 +305,6 @@ def migrate_knowledge_vector_database():
                        "vector_store": {"class_prefix": collection_name}
                    }
                    dataset.index_struct = json.dumps(index_struct_dict)
-                elif vector_type == "pgvector":
-                    dataset_id = dataset.id
-                    collection_name = Dataset.gen_collection_name_by_id(dataset_id)
-                    index_struct_dict = {
-                        "type": 'pgvector',
-                        "vector_store": {"class_prefix": collection_name}
-                    }
-                    dataset.index_struct = json.dumps(index_struct_dict)
                else:
                    raise ValueError(f"Vector store {config.get('VECTOR_STORE')} is not supported.")

--- a/api/config.py
+++ b/api/config.py
@@ -28,11 +28,9 @@ DEFAULTS = {
    'STORAGE_LOCAL_PATH': 'storage',
    'CHECK_UPDATE_URL': 'https://updates.dify.ai',
    'DEPLOY_ENV': 'PRODUCTION',
-    'SQLALCHEMY_DATABASE_URI_SCHEME': 'postgresql',
    'SQLALCHEMY_POOL_SIZE': 30,
    'SQLALCHEMY_MAX_OVERFLOW': 10,
    'SQLALCHEMY_POOL_RECYCLE': 3600,
-    'SQLALCHEMY_POOL_PRE_PING': 'False',
    'SQLALCHEMY_ECHO': 'False',
    'SENTRY_TRACES_SAMPLE_RATE': 1.0,
    'SENTRY_PROFILES_SAMPLE_RATE': 1.0,
@@ -79,7 +77,6 @@ DEFAULTS = {
    'KEYWORD_DATA_SOURCE_TYPE': 'database',
    'INNER_API': 'False',
    'ENTERPRISE_ENABLED': 'False',
-    'INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH': 1000,
 }


@@ -110,7 +107,7 @@ class Config:
        # ------------------------
        # General Configurations.
        # ------------------------
-        self.CURRENT_VERSION = "0.6.8"
+        self.CURRENT_VERSION = "0.6.6"
        self.COMMIT_SHA = get_env('COMMIT_SHA')
        self.EDITION = get_env('EDITION')
        self.DEPLOY_ENV = get_env('DEPLOY_ENV')
@@ -168,16 +165,14 @@ class Config:
            key: get_env(key) for key in
            ['DB_USERNAME', 'DB_PASSWORD', 'DB_HOST', 'DB_PORT', 'DB_DATABASE', 'DB_CHARSET']
        }
-        self.SQLALCHEMY_DATABASE_URI_SCHEME = get_env('SQLALCHEMY_DATABASE_URI_SCHEME')

        db_extras = f"?client_encoding={db_credentials['DB_CHARSET']}" if db_credentials['DB_CHARSET'] else ""

-        self.SQLALCHEMY_DATABASE_URI = f"{self.SQLALCHEMY_DATABASE_URI_SCHEME}://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
+        self.SQLALCHEMY_DATABASE_URI = f"postgresql://{db_credentials['DB_USERNAME']}:{db_credentials['DB_PASSWORD']}@{db_credentials['DB_HOST']}:{db_credentials['DB_PORT']}/{db_credentials['DB_DATABASE']}{db_extras}"
        self.SQLALCHEMY_ENGINE_OPTIONS = {
            'pool_size': int(get_env('SQLALCHEMY_POOL_SIZE')),
            'max_overflow': int(get_env('SQLALCHEMY_MAX_OVERFLOW')),
-            'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE')),
-            'pool_pre_ping': get_bool_env('SQLALCHEMY_POOL_PRE_PING')
+            'pool_recycle': int(get_env('SQLALCHEMY_POOL_RECYCLE'))
        }

        self.SQLALCHEMY_ECHO = get_bool_env('SQLALCHEMY_ECHO')
@@ -227,7 +222,7 @@ class Config:

        # ------------------------
        # Vector Store Configurations.
-        # Currently, only support: qdrant, milvus, zilliz, weaviate, relyt, pgvector
+        # Currently, only support: qdrant, milvus, zilliz, weaviate, relyt
        # ------------------------
        self.VECTOR_STORE = get_env('VECTOR_STORE')
        self.KEYWORD_STORE = get_env('KEYWORD_STORE')
@@ -266,13 +261,6 @@ class Config:
        self.PGVECTO_RS_PASSWORD = get_env('PGVECTO_RS_PASSWORD')
        self.PGVECTO_RS_DATABASE = get_env('PGVECTO_RS_DATABASE')

-        # pgvector settings
-        self.PGVECTOR_HOST = get_env('PGVECTOR_HOST')
-        self.PGVECTOR_PORT = get_env('PGVECTOR_PORT')
-        self.PGVECTOR_USER = get_env('PGVECTOR_USER')
-        self.PGVECTOR_PASSWORD = get_env('PGVECTOR_PASSWORD')
-        self.PGVECTOR_DATABASE = get_env('PGVECTOR_DATABASE')
-
        # ------------------------
        # Mail Configurations.
        # ------------------------
@@ -366,7 +354,6 @@ class Config:

        self.ETL_TYPE = get_env('ETL_TYPE')
        self.UNSTRUCTURED_API_URL = get_env('UNSTRUCTURED_API_URL')
-        self.UNSTRUCTURED_API_KEY = get_env('UNSTRUCTURED_API_KEY')
        self.BILLING_ENABLED = get_bool_env('BILLING_ENABLED')
        self.CAN_REPLACE_LOGO = get_bool_env('CAN_REPLACE_LOGO')

@@ -380,8 +367,3 @@ class Config:

        self.KEYWORD_DATA_SOURCE_TYPE = get_env('KEYWORD_DATA_SOURCE_TYPE')
        self.ENTERPRISE_ENABLED = get_bool_env('ENTERPRISE_ENABLED')
-
-        # ------------------------
-        # Indexing Configurations.
-        # ------------------------
-        self.INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH = get_env('INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH')
--- a/api/constants/languages.py
+++ b/api/constants/languages.py
@@ -16,7 +16,6 @@ language_timezone_mapping = {
    'it-IT': 'Europe/Rome',
    'uk-UA': 'Europe/Kyiv',
    'vi-VN': 'Asia/Ho_Chi_Minh',
-    'ro-RO': 'Europe/Bucharest',
    'pl-PL': 'Europe/Warsaw',
 }

--- a/api/constants/recommended_apps.json
+++ b/api/constants/recommended_apps.json
@@ -24,8 +24,7 @@
                    "description": "Welcome to your personalized Investment Analysis Copilot service, where we delve into the depths of stock analysis to provide you with comprehensive insights. \n",
                    "is_listed": true,
                    "position": 0,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -41,8 +40,7 @@
                    "description": "Code interpreter, clarifying the syntax and semantics of the code.",
                    "is_listed": true,
                    "position": 13,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -58,8 +56,7 @@
                    "description": "Hello, I am your creative partner in bringing ideas to vivid life! I can assist you in creating stunning designs by leveraging abilities of DALL\u00b7E 3.  ",
                    "is_listed": true,
                    "position": 4,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -75,8 +72,7 @@
                    "description": "Fully SEO Optimized Article including FAQs",
                    "is_listed": true,
                    "position": 1,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -92,8 +88,7 @@
                    "description": "Generate Flat Style Image",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -109,8 +104,7 @@
                    "description": "A multilingual translator that provides translation capabilities in multiple languages. Input the text you need to translate and select the target language.",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -126,8 +120,7 @@
                    "description": "I am a YouTube Channel Data Analysis Copilot, I am here to provide expert data analysis tailored to your needs. ",
                    "is_listed": true,
                    "position": 2,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -143,8 +136,7 @@
                    "description": "Meeting minutes generator",
                    "is_listed": true,
                    "position": 0,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -160,8 +152,7 @@
                    "description": "Tell me the main elements, I will generate a cyberpunk style image for you. ",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -177,8 +168,7 @@
                    "description": "Write SQL from natural language by pasting in your schema with the request.Please describe your query requirements in natural language and select the target database type.",
                    "is_listed": true,
                    "position": 13,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -194,8 +184,7 @@
                    "description": "Welcome to your personalized travel service with Consultant! \ud83c\udf0d\u2708\ufe0f Ready to embark on a journey filled with adventure and relaxation? Let's dive into creating your unforgettable travel experience. ",
                    "is_listed": true,
                    "position": 3,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -211,8 +200,7 @@
                    "description": "I can answer your questions related to strategic marketing.",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -228,8 +216,7 @@
                    "description": "A simulated front-end interviewer that tests the skill level of front-end development through questioning.",
                    "is_listed": true,
                    "position": 19,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -245,8 +232,7 @@
                    "description": "I'm here to hear about your feature request about Dify and help you flesh it out further. What's on your mind?",
                    "is_listed": true,
                    "position": 6,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                }
            ]
        },
@@ -275,8 +261,7 @@
                    "description": "\u4e00\u4e2a\u6a21\u62df\u7684\u524d\u7aef\u9762\u8bd5\u5b98\uff0c\u901a\u8fc7\u63d0\u95ee\u7684\u65b9\u5f0f\u5bf9\u524d\u7aef\u5f00\u53d1\u7684\u6280\u80fd\u6c34\u5e73\u8fdb\u884c\u68c0\u9a8c\u3002",
                    "is_listed": true,
                    "position": 20,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -292,8 +277,7 @@
                    "description": "\u8f93\u5165\u76f8\u5173\u5143\u7d20\uff0c\u4e3a\u4f60\u751f\u6210\u6241\u5e73\u63d2\u753b\u98ce\u683c\u7684\u5c01\u9762\u56fe\u7247",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -309,8 +293,7 @@
                    "description": "\u4e00\u4e2a\u591a\u8bed\u8a00\u7ffb\u8bd1\u5668\uff0c\u63d0\u4f9b\u591a\u79cd\u8bed\u8a00\u7ffb\u8bd1\u80fd\u529b\uff0c\u8f93\u5165\u4f60\u9700\u8981\u7ffb\u8bd1\u7684\u6587\u672c\uff0c\u9009\u62e9\u76ee\u6807\u8bed\u8a00\u5373\u53ef\u3002\u63d0\u793a\u8bcd\u6765\u81ea\u5b9d\u7389\u3002",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -326,8 +309,7 @@
                    "description": "\u6211\u5c06\u5e2e\u52a9\u4f60\u628a\u81ea\u7136\u8bed\u8a00\u8f6c\u5316\u6210\u6307\u5b9a\u7684\u6570\u636e\u5e93\u67e5\u8be2 SQL \u8bed\u53e5\uff0c\u8bf7\u5728\u4e0b\u65b9\u8f93\u5165\u4f60\u9700\u8981\u67e5\u8be2\u7684\u6761\u4ef6\uff0c\u5e76\u9009\u62e9\u76ee\u6807\u6570\u636e\u5e93\u7c7b\u578b\u3002",
                    "is_listed": true,
                    "position": 12,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -343,8 +325,7 @@
                    "description": "\u9610\u660e\u4ee3\u7801\u7684\u8bed\u6cd5\u548c\u8bed\u4e49\u3002",
                    "is_listed": true,
                    "position": 2,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -360,8 +341,7 @@
                    "description": "\u8f93\u5165\u76f8\u5173\u5143\u7d20\uff0c\u4e3a\u4f60\u751f\u6210\u8d5b\u535a\u670b\u514b\u98ce\u683c\u7684\u63d2\u753b",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -377,8 +357,7 @@
                    "description": "\u6211\u662f\u4e00\u540dSEO\u4e13\u5bb6\uff0c\u53ef\u4ee5\u6839\u636e\u60a8\u63d0\u4f9b\u7684\u6807\u9898\u3001\u5173\u952e\u8bcd\u3001\u76f8\u5173\u4fe1\u606f\u6765\u6279\u91cf\u751f\u6210SEO\u6587\u7ae0\u3002",
                    "is_listed": true,
                    "position": 10,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -394,8 +373,7 @@
                    "description": "\u5e2e\u4f60\u91cd\u65b0\u7ec4\u7ec7\u548c\u8f93\u51fa\u6df7\u4e71\u590d\u6742\u7684\u4f1a\u8bae\u7eaa\u8981\u3002",
                    "is_listed": true,
                    "position": 6,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -411,8 +389,7 @@
                    "description": "\u6b22\u8fce\u4f7f\u7528\u60a8\u7684\u4e2a\u6027\u5316\u7f8e\u80a1\u6295\u8d44\u5206\u6790\u52a9\u624b\uff0c\u5728\u8fd9\u91cc\u6211\u4eec\u6df1\u5165\u7684\u8fdb\u884c\u80a1\u7968\u5206\u6790\uff0c\u4e3a\u60a8\u63d0\u4f9b\u5168\u9762\u7684\u6d1e\u5bdf\u3002",
                    "is_listed": true,
                    "position": 0,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -428,8 +405,7 @@
                    "description": "\u60a8\u597d\uff0c\u6211\u662f\u60a8\u7684\u521b\u610f\u4f19\u4f34\uff0c\u5c06\u5e2e\u52a9\u60a8\u5c06\u60f3\u6cd5\u751f\u52a8\u5730\u5b9e\u73b0\uff01\u6211\u53ef\u4ee5\u534f\u52a9\u60a8\u5229\u7528DALL\u00b7E 3\u7684\u80fd\u529b\u521b\u9020\u51fa\u4ee4\u4eba\u60ca\u53f9\u7684\u8bbe\u8ba1\u3002",
                    "is_listed": true,
                    "position": 4,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -445,8 +421,7 @@
                    "description": "\u7ffb\u8bd1\u4e13\u5bb6\uff1a\u63d0\u4f9b\u4e2d\u82f1\u6587\u4e92\u8bd1",
                    "is_listed": true,
                    "position": 4,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -462,8 +437,7 @@
                    "description": "\u60a8\u7684\u79c1\u4eba\u5b66\u4e60\u5bfc\u5e08\uff0c\u5e2e\u60a8\u5236\u5b9a\u5b66\u4e60\u8ba1\u5212\u5e76\u8f85\u5bfc",
                    "is_listed": true,
                    "position": 26,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -479,8 +453,7 @@
                    "description": "\u5e2e\u4f60\u64b0\u5199\u8bba\u6587\u6587\u732e\u7efc\u8ff0",
                    "is_listed": true,
                    "position": 7,
-                    "privacy_policy": "https://dify.ai",
-                    "custom_disclaimer": null
+                    "privacy_policy": "https://dify.ai"
                },
                {
                    "app": {
@@ -496,8 +469,7 @@
                    "description": "\u4f60\u597d\uff0c\u544a\u8bc9\u6211\u60a8\u60f3\u5206\u6790\u7684 YouTube \u9891\u9053\uff0c\u6211\u5c06\u4e3a\u60a8\u6574\u7406\u4e00\u4efd\u5b8c\u6574\u7684\u6570\u636e\u5206\u6790\u62a5\u544a\u3002",
                    "is_listed": true,
                    "position": 0,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                },
                {
                    "app": {
@@ -513,8 +485,7 @@
                    "description": "\u6b22\u8fce\u4f7f\u7528\u60a8\u7684\u4e2a\u6027\u5316\u65c5\u884c\u670d\u52a1\u987e\u95ee\uff01\ud83c\udf0d\u2708\ufe0f \u51c6\u5907\u597d\u8e0f\u4e0a\u4e00\u6bb5\u5145\u6ee1\u5192\u9669\u4e0e\u653e\u677e\u7684\u65c5\u7a0b\u4e86\u5417\uff1f\u8ba9\u6211\u4eec\u4e00\u8d77\u6df1\u5165\u6253\u9020\u60a8\u96be\u5fd8\u7684\u65c5\u884c\u4f53\u9a8c\u5427\u3002",
                    "is_listed": true,
                    "position": 0,
-                    "privacy_policy": null,
-                    "custom_disclaimer": null
+                    "privacy_policy": null
                }
            ]
        },
--- a/api/controllers/console/init.py
+++ b/api/controllers/console/init.py
@@ -37,6 +37,9 @@ from .billing import billing
 # Import datasets controllers
 from .datasets import data_source, datasets, datasets_document, datasets_segments, file, hit_testing

+# Import enterprise controllers
+from .enterprise import enterprise_sso
+
 # Import explore controllers
 from .explore import (
    audio,
--- a/api/controllers/console/admin.py
+++ b/api/controllers/console/admin.py
@@ -48,7 +48,6 @@ class InsertExploreAppListApi(Resource):
        parser.add_argument('desc', type=str, location='json')
        parser.add_argument('copyright', type=str, location='json')
        parser.add_argument('privacy_policy', type=str, location='json')
-        parser.add_argument('custom_disclaimer', type=str, location='json')
        parser.add_argument('language', type=supported_language, required=True, nullable=False, location='json')
        parser.add_argument('category', type=str, required=True, nullable=False, location='json')
        parser.add_argument('position', type=int, required=True, nullable=False, location='json')
@@ -63,7 +62,6 @@ class InsertExploreAppListApi(Resource):
            desc = args['desc'] if args['desc'] else ''
            copy_right = args['copyright'] if args['copyright'] else ''
            privacy_policy = args['privacy_policy'] if args['privacy_policy'] else ''
-            custom_disclaimer = args['custom_disclaimer'] if args['custom_disclaimer'] else ''
        else:
            desc = site.description if site.description else \
                args['desc'] if args['desc'] else ''
@@ -71,8 +69,6 @@ class InsertExploreAppListApi(Resource):
                args['copyright'] if args['copyright'] else ''
            privacy_policy = site.privacy_policy if site.privacy_policy else \
                args['privacy_policy'] if args['privacy_policy']  else ''
-            custom_disclaimer = site.custom_disclaimer if site.custom_disclaimer else \
-                args['custom_disclaimer'] if args['custom_disclaimer'] else ''

        recommended_app = RecommendedApp.query.filter(RecommendedApp.app_id == args['app_id']).first()

@@ -82,7 +78,6 @@ class InsertExploreAppListApi(Resource):
                description=desc,
                copyright=copy_right,
                privacy_policy=privacy_policy,
-                custom_disclaimer=custom_disclaimer,
                language=args['language'],
                category=args['category'],
                position=args['position']
@@ -98,7 +93,6 @@ class InsertExploreAppListApi(Resource):
            recommended_app.description = desc
            recommended_app.copyright = copy_right
            recommended_app.privacy_policy = privacy_policy
-            recommended_app.custom_disclaimer = custom_disclaimer
            recommended_app.language = args['language']
            recommended_app.category = args['category']
            recommended_app.position = args['position']
--- a/api/controllers/console/app/error.py
+++ b/api/controllers/console/app/error.py
@@ -91,9 +91,3 @@ class DraftWorkflowNotExist(BaseHTTPException):
    error_code = 'draft_workflow_not_exist'
    description = "Draft workflow need to be initialized."
    code = 400
-
-
-class DraftWorkflowNotSync(BaseHTTPException):
-    error_code = 'draft_workflow_not_sync'
-    description = "Workflow graph might have been modified, please refresh and resubmit."
-    code = 400
--- a/api/controllers/console/app/site.py
+++ b/api/controllers/console/app/site.py
@@ -23,7 +23,6 @@ def parse_app_site_args():
    parser.add_argument('customize_domain', type=str, required=False, location='json')
    parser.add_argument('copyright', type=str, required=False, location='json')
    parser.add_argument('privacy_policy', type=str, required=False, location='json')
-    parser.add_argument('custom_disclaimer', type=str, required=False, location='json')
    parser.add_argument('customize_token_strategy', type=str, choices=['must', 'allow', 'not_allow'],
                        required=False,
                        location='json')
@@ -57,7 +56,6 @@ class AppSite(Resource):
            'customize_domain',
            'copyright',
            'privacy_policy',
-            'custom_disclaimer',
            'customize_token_strategy',
            'prompt_public'
        ]:
--- a/api/controllers/console/app/workflow.py
+++ b/api/controllers/console/app/workflow.py
@@ -7,7 +7,7 @@ from werkzeug.exceptions import InternalServerError, NotFound

 import services
 from controllers.console import api
-from controllers.console.app.error import ConversationCompletedError, DraftWorkflowNotExist, DraftWorkflowNotSync
+from controllers.console.app.error import ConversationCompletedError, DraftWorkflowNotExist
 from controllers.console.app.wraps import get_app_model
 from controllers.console.setup import setup_required
 from controllers.console.wraps import account_initialization_required
@@ -20,7 +20,6 @@ from libs.helper import TimestampField, uuid_value
 from libs.login import current_user, login_required
 from models.model import App, AppMode
 from services.app_generate_service import AppGenerateService
-from services.errors.app import WorkflowHashNotEqualError
 from services.workflow_service import WorkflowService

 logger = logging.getLogger(__name__)
@@ -60,7 +59,6 @@ class DraftWorkflowApi(Resource):
            parser = reqparse.RequestParser()
            parser.add_argument('graph', type=dict, required=True, nullable=False, location='json')
            parser.add_argument('features', type=dict, required=True, nullable=False, location='json')
-            parser.add_argument('hash', type=str, required=False, location='json')
            args = parser.parse_args()
        elif 'text/plain' in content_type:
            try:
@@ -73,8 +71,7 @@ class DraftWorkflowApi(Resource):

                args = {
                    'graph': data.get('graph'),
-                    'features': data.get('features'),
-                    'hash': data.get('hash')
+                    'features': data.get('features')
                }
            except json.JSONDecodeError:
                return {'message': 'Invalid JSON data'}, 400
@@ -82,21 +79,15 @@ class DraftWorkflowApi(Resource):
            abort(415)

        workflow_service = WorkflowService()
-
-        try:
-            workflow = workflow_service.sync_draft_workflow(
-                app_model=app_model,
-                graph=args.get('graph'),
-                features=args.get('features'),
-                unique_hash=args.get('hash'),
-                account=current_user
-            )
-        except WorkflowHashNotEqualError:
-            raise DraftWorkflowNotSync()
+        workflow = workflow_service.sync_draft_workflow(
+            app_model=app_model,
+            graph=args.get('graph'),
+            features=args.get('features'),
+            account=current_user
+        )

        return {
            "result": "success",
-            "hash": workflow.unique_hash,
            "updated_at": TimestampField().format(workflow.updated_at or workflow.created_at)
        }

--- a/api/controllers/console/datasets/datasets.py
+++ b/api/controllers/console/datasets/datasets.py
@@ -476,13 +476,13 @@ class DatasetRetrievalSettingApi(Resource):
    @account_initialization_required
    def get(self):
        vector_type = current_app.config['VECTOR_STORE']
-        if vector_type in {"milvus", "relyt", "pgvector", "pgvecto_rs"}:
+        if vector_type == 'milvus' or vector_type == 'pgvecto_rs' or vector_type == 'relyt':
            return {
                'retrieval_method': [
                    'semantic_search'
                ]
            }
-        elif vector_type in {"qdrant", "weaviate"}:
+        elif vector_type == 'qdrant' or vector_type == 'weaviate':
            return {
                'retrieval_method': [
                    'semantic_search', 'full_text_search', 'hybrid_search'
@@ -497,13 +497,14 @@ class DatasetRetrievalSettingMockApi(Resource):
    @login_required
    @account_initialization_required
    def get(self, vector_type):
-        if vector_type in {'milvus', 'relyt', 'pgvector'}:
+
+        if vector_type == 'milvus' or vector_type == 'relyt':
            return {
                'retrieval_method': [
                    'semantic_search'
                ]
            }
-        elif vector_type in {'qdrant', 'weaviate'}:
+        elif vector_type == 'qdrant' or vector_type == 'weaviate':
            return {
                'retrieval_method': [
                    'semantic_search', 'full_text_search', 'hybrid_search'
--- a/api/controllers/console/enterprise/init.py
+++ b/api/controllers/console/enterprise/init.py
--- a/api/controllers/console/enterprise/enterprise_sso.py
+++ b/api/controllers/console/enterprise/enterprise_sso.py
@@ -0,0 +1,59 @@
+from flask import current_app, redirect
+from flask_restful import Resource, reqparse
+
+from controllers.console import api
+from controllers.console.setup import setup_required
+from services.enterprise.enterprise_sso_service import EnterpriseSSOService
+
+
+class EnterpriseSSOSamlLogin(Resource):
+
+    @setup_required
+    def get(self):
+        return EnterpriseSSOService.get_sso_saml_login()
+
+
+class EnterpriseSSOSamlAcs(Resource):
+
+    @setup_required
+    def post(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('SAMLResponse', type=str, required=True, location='form')
+        args = parser.parse_args()
+        saml_response = args['SAMLResponse']
+
+        try:
+            token = EnterpriseSSOService.post_sso_saml_acs(saml_response)
+            return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?console_token={token}')
+        except Exception as e:
+            return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?message={str(e)}')
+
+
+class EnterpriseSSOOidcLogin(Resource):
+
+    @setup_required
+    def get(self):
+        return EnterpriseSSOService.get_sso_oidc_login()
+
+
+class EnterpriseSSOOidcCallback(Resource):
+
+    @setup_required
+    def get(self):
+        parser = reqparse.RequestParser()
+        parser.add_argument('state', type=str, required=True, location='args')
+        parser.add_argument('code', type=str, required=True, location='args')
+        parser.add_argument('oidc-state', type=str, required=True, location='cookies')
+        args = parser.parse_args()
+
+        try:
+            token = EnterpriseSSOService.get_sso_oidc_callback(args)
+            return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?console_token={token}')
+        except Exception as e:
+            return redirect(f'{current_app.config.get("CONSOLE_WEB_URL")}/signin?message={str(e)}')
+
+
+api.add_resource(EnterpriseSSOSamlLogin, '/enterprise/sso/saml/login')
+api.add_resource(EnterpriseSSOSamlAcs, '/enterprise/sso/saml/acs')
+api.add_resource(EnterpriseSSOOidcLogin, '/enterprise/sso/oidc/login')
+api.add_resource(EnterpriseSSOOidcCallback, '/enterprise/sso/oidc/callback')
--- a/api/controllers/console/explore/recommended_app.py
+++ b/api/controllers/console/explore/recommended_app.py
@@ -21,7 +21,6 @@ recommended_app_fields = {
    'description': fields.String(attribute='description'),
    'copyright': fields.String,
    'privacy_policy': fields.String,
-    'custom_disclaimer': fields.String,
    'category': fields.String,
    'position': fields.Integer,
    'is_listed': fields.Boolean
--- a/api/controllers/console/feature.py
+++ b/api/controllers/console/feature.py
@@ -1,6 +1,7 @@
 from flask_login import current_user
 from flask_restful import Resource

+from services.enterprise.enterprise_feature_service import EnterpriseFeatureService
 from services.feature_service import FeatureService

 from . import api
@@ -14,10 +15,10 @@ class FeatureApi(Resource):
        return FeatureService.get_features(current_user.current_tenant_id).dict()


-class SystemFeatureApi(Resource):
+class EnterpriseFeatureApi(Resource):
    def get(self):
-        return FeatureService.get_system_features().dict()
+        return EnterpriseFeatureService.get_enterprise_features().dict()


 api.add_resource(FeatureApi, '/features')
-api.add_resource(SystemFeatureApi, '/system-features')
+api.add_resource(EnterpriseFeatureApi, '/enterprise-features')
--- a/api/controllers/console/workspace/tool_providers.py
+++ b/api/controllers/console/workspace/tool_providers.py
@@ -98,6 +98,31 @@ class ToolBuiltinProviderIconApi(Resource):
        icon_cache_max_age = int(current_app.config.get('TOOL_ICON_CACHE_MAX_AGE'))
        return send_file(io.BytesIO(icon_bytes), mimetype=mimetype, max_age=icon_cache_max_age)

+class ToolModelProviderIconApi(Resource):
+    @setup_required
+    def get(self, provider):
+        icon_bytes, mimetype = ToolManageService.get_model_tool_provider_icon(provider)
+        return send_file(io.BytesIO(icon_bytes), mimetype=mimetype)
+    
+class ToolModelProviderListToolsApi(Resource):
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self):
+        user_id = current_user.id
+        tenant_id = current_user.current_tenant_id
+
+        parser = reqparse.RequestParser()
+        parser.add_argument('provider', type=str, required=True, nullable=False, location='args')
+
+        args = parser.parse_args()
+
+        return jsonable_encoder(ToolManageService.list_model_tool_provider_tools(
+            user_id,
+            tenant_id,
+            args['provider'],
+        ))
+
 class ToolApiProviderAddApi(Resource):
    @setup_required
    @login_required
@@ -116,7 +141,6 @@ class ToolApiProviderAddApi(Resource):
        parser.add_argument('provider', type=str, required=True, nullable=False, location='json')
        parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
        parser.add_argument('privacy_policy', type=str, required=False, nullable=True, location='json')
-        parser.add_argument('custom_disclaimer', type=str, required=False, nullable=True, location='json')

        args = parser.parse_args()

@@ -129,7 +153,6 @@ class ToolApiProviderAddApi(Resource):
            args['schema_type'],
            args['schema'],
            args.get('privacy_policy', ''),
-            args.get('custom_disclaimer', ''),
        )

 class ToolApiProviderGetRemoteSchemaApi(Resource):
@@ -188,7 +211,6 @@ class ToolApiProviderUpdateApi(Resource):
        parser.add_argument('original_provider', type=str, required=True, nullable=False, location='json')
        parser.add_argument('icon', type=dict, required=True, nullable=False, location='json')
        parser.add_argument('privacy_policy', type=str, required=True, nullable=True, location='json')
-        parser.add_argument('custom_disclaimer', type=str, required=True, nullable=True, location='json')

        args = parser.parse_args()

@@ -202,7 +224,6 @@ class ToolApiProviderUpdateApi(Resource):
            args['schema_type'],
            args['schema'],
            args['privacy_policy'],
-            args['custom_disclaimer'],
        )

 class ToolApiProviderDeleteApi(Resource):
@@ -329,6 +350,8 @@ api.add_resource(ToolBuiltinProviderUpdateApi, '/workspaces/current/tool-provide
 api.add_resource(ToolBuiltinProviderGetCredentialsApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials')
 api.add_resource(ToolBuiltinProviderCredentialsSchemaApi, '/workspaces/current/tool-provider/builtin/<provider>/credentials_schema')
 api.add_resource(ToolBuiltinProviderIconApi, '/workspaces/current/tool-provider/builtin/<provider>/icon')
+api.add_resource(ToolModelProviderIconApi, '/workspaces/current/tool-provider/model/<provider>/icon')
+api.add_resource(ToolModelProviderListToolsApi, '/workspaces/current/tool-provider/model/tools')
 api.add_resource(ToolApiProviderAddApi, '/workspaces/current/tool-provider/api/add')
 api.add_resource(ToolApiProviderGetRemoteSchemaApi, '/workspaces/current/tool-provider/api/remote')
 api.add_resource(ToolApiProviderListToolsApi, '/workspaces/current/tool-provider/api/tools')
--- a/api/controllers/console/workspace/workspace.py
+++ b/api/controllers/console/workspace/workspace.py
@@ -161,13 +161,13 @@ class CustomConfigWorkspaceApi(Resource):
        parser.add_argument('replace_webapp_logo', type=str,  location='json')
        args = parser.parse_args()

-        tenant = db.session.query(Tenant).filter(Tenant.id == current_user.current_tenant_id).one_or_404()
-
        custom_config_dict = {
            'remove_webapp_brand': args['remove_webapp_brand'],
-            'replace_webapp_logo': args['replace_webapp_logo'] if args['replace_webapp_logo'] is not None else tenant.custom_config_dict.get('replace_webapp_logo') ,
+            'replace_webapp_logo': args['replace_webapp_logo'],
        }

+        tenant = db.session.query(Tenant).filter(Tenant.id == current_user.current_tenant_id).one_or_404()
+
        tenant.custom_config_dict = custom_config_dict
        db.session.commit()

--- a/api/controllers/web/init.py
+++ b/api/controllers/web/init.py
@@ -6,4 +6,4 @@ bp = Blueprint('web', __name__, url_prefix='/api')
 api = ExternalApi(bp)


-from . import app, audio, completion, conversation, feature, file, message, passport, saved_message, site, workflow
+from . import app, audio, completion, conversation, file, message, passport, saved_message, site, workflow
--- a/api/controllers/web/app.py
+++ b/api/controllers/web/app.py
@@ -1,10 +1,14 @@
+import json
+
 from flask import current_app
 from flask_restful import fields, marshal_with

 from controllers.web import api
 from controllers.web.error import AppUnavailableError
 from controllers.web.wraps import WebApiResource
-from models.model import App, AppMode
+from extensions.ext_database import db
+from models.model import App, AppMode, AppModelConfig
+from models.tools import ApiToolProvider
 from services.app_service import AppService


--- a/api/controllers/web/error.py
+++ b/api/controllers/web/error.py
@@ -115,9 +115,3 @@ class UnsupportedFileTypeError(BaseHTTPException):
    error_code = 'unsupported_file_type'
    description = "File type not allowed."
    code = 415
-
-
-class WebSSOAuthRequiredError(BaseHTTPException):
-    error_code = 'web_sso_auth_required'
-    description = "Web SSO authentication required."
-    code = 401
--- a/api/controllers/web/feature.py
+++ b/api/controllers/web/feature.py
@@ -1,12 +0,0 @@
-from flask_restful import Resource
-
-from controllers.web import api
-from services.feature_service import FeatureService
-
-
-class SystemFeatureApi(Resource):
-    def get(self):
-        return FeatureService.get_system_features().dict()
-
-
-api.add_resource(SystemFeatureApi, '/system-features')
--- a/api/controllers/web/passport.py
+++ b/api/controllers/web/passport.py
@@ -5,21 +5,14 @@ from flask_restful import Resource
 from werkzeug.exceptions import NotFound, Unauthorized

 from controllers.web import api
-from controllers.web.error import WebSSOAuthRequiredError
 from extensions.ext_database import db
 from libs.passport import PassportService
 from models.model import App, EndUser, Site
-from services.feature_service import FeatureService


 class PassportResource(Resource):
    """Base resource for passport."""
    def get(self):
-
-        system_features = FeatureService.get_system_features()
-        if system_features.sso_enforced_for_web:
-            raise WebSSOAuthRequiredError()
-
        app_code = request.headers.get('X-App-Code')
        if app_code is None:
            raise Unauthorized('X-App-Code header is missing.')
@@ -35,7 +28,7 @@ class PassportResource(Resource):
        app_model = db.session.query(App).filter(App.id == site.app_id).first()
        if not app_model or app_model.status != 'normal' or not app_model.enable_site:
            raise NotFound()
-
+        
        end_user = EndUser(
            tenant_id=app_model.tenant_id,
            app_id=app_model.id,
@@ -43,7 +36,6 @@ class PassportResource(Resource):
            is_anonymous=True,
            session_id=generate_session_id(),
        )
-
        db.session.add(end_user)
        db.session.commit()

@@ -61,10 +53,8 @@ class PassportResource(Resource):
            'access_token': tk,
        }

-
 api.add_resource(PassportResource, '/passport')

-
 def generate_session_id():
    """
    Generate a unique session ID.
--- a/api/controllers/web/site.py
+++ b/api/controllers/web/site.py
@@ -31,7 +31,6 @@ class AppSiteApi(WebApiResource):
        'description': fields.String,
        'copyright': fields.String,
        'privacy_policy': fields.String,
-        'custom_disclaimer': fields.String,
        'default_language': fields.String,
        'prompt_public': fields.Boolean
    }
--- a/api/controllers/web/wraps.py
+++ b/api/controllers/web/wraps.py
@@ -2,13 +2,11 @@ from functools import wraps

 from flask import request
 from flask_restful import Resource
-from werkzeug.exceptions import BadRequest, NotFound, Unauthorized
+from werkzeug.exceptions import NotFound, Unauthorized

-from controllers.web.error import WebSSOAuthRequiredError
 from extensions.ext_database import db
 from libs.passport import PassportService
 from models.model import App, EndUser, Site
-from services.feature_service import FeatureService


 def validate_jwt_token(view=None):
@@ -23,60 +21,34 @@ def validate_jwt_token(view=None):
        return decorator(view)
    return decorator

-
 def decode_jwt_token():
-    system_features = FeatureService.get_system_features()
+    auth_header = request.headers.get('Authorization')
+    if auth_header is None:
+        raise Unauthorized('Authorization header is missing.')

-    try:
-        auth_header = request.headers.get('Authorization')
-        if auth_header is None:
-            raise Unauthorized('Authorization header is missing.')
+    if ' ' not in auth_header:
+        raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
+    
+    auth_scheme, tk = auth_header.split(None, 1)
+    auth_scheme = auth_scheme.lower()

-        if ' ' not in auth_header:
-            raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
-
-        auth_scheme, tk = auth_header.split(None, 1)
-        auth_scheme = auth_scheme.lower()
-
-        if auth_scheme != 'bearer':
-            raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
-        decoded = PassportService().verify(tk)
-        app_code = decoded.get('app_code')
-        app_model = db.session.query(App).filter(App.id == decoded['app_id']).first()
-        site = db.session.query(Site).filter(Site.code == app_code).first()
-        if not app_model:
-            raise NotFound()
-        if not app_code or not site:
-            raise BadRequest('Site URL is no longer valid.')
-        if app_model.enable_site is False:
-            raise BadRequest('Site is disabled.')
-        end_user = db.session.query(EndUser).filter(EndUser.id == decoded['end_user_id']).first()
-        if not end_user:
-            raise NotFound()
-
-        _validate_web_sso_token(decoded, system_features)
-
-        return app_model, end_user
-    except Unauthorized as e:
-        if system_features.sso_enforced_for_web:
-            raise WebSSOAuthRequiredError()
-
-        raise Unauthorized(e.description)
-
-
-def _validate_web_sso_token(decoded, system_features):
-    # Check if SSO is enforced for web, and if the token source is not SSO, raise an error and redirect to SSO login
-    if system_features.sso_enforced_for_web:
-        source = decoded.get('token_source')
-        if not source or source != 'sso':
-            raise WebSSOAuthRequiredError()
-
-    # Check if SSO is not enforced for web, and if the token source is SSO, raise an error and redirect to normal passport login
-    if not system_features.sso_enforced_for_web:
-        source = decoded.get('token_source')
-        if source and source == 'sso':
-            raise Unauthorized('sso token expired.')
+    if auth_scheme != 'bearer':
+        raise Unauthorized('Invalid Authorization header format. Expected \'Bearer <api-key>\' format.')
+    decoded = PassportService().verify(tk)
+    app_code = decoded.get('app_code')
+    app_model = db.session.query(App).filter(App.id == decoded['app_id']).first()
+    site = db.session.query(Site).filter(Site.code == app_code).first()
+    if not app_model:
+        raise NotFound()
+    if not app_code or not site:
+        raise Unauthorized('Site URL is no longer valid.')
+    if app_model.enable_site is False:
+        raise Unauthorized('Site is disabled.')
+    end_user = db.session.query(EndUser).filter(EndUser.id == decoded['end_user_id']).first()
+    if not end_user:
+        raise NotFound()

+    return app_model, end_user

 class WebApiResource(Resource):
    method_decorators = [validate_jwt_token]
--- a/api/core/agent/cot_agent_runner.py
+++ b/api/core/agent/cot_agent_runner.py
@@ -121,7 +121,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):
                raise ValueError("failed to invoke llm")
            
            usage_dict = {}
-            react_chunks = CotAgentOutputParser.handle_react_stream_output(chunks, usage_dict)
+            react_chunks = CotAgentOutputParser.handle_react_stream_output(chunks)
            scratchpad = AgentScratchpadUnit(
                agent_response='',
                thought='',
@@ -189,7 +189,7 @@ class CotAgentRunner(BaseAgentRunner, ABC):

            if not scratchpad.action:
                # failed to extract action, return final answer directly
-                final_answer = ''
+                final_answer = scratchpad.agent_response or ''
            else:
                if scratchpad.action.action_name.lower() == "final answer":
                    # action is final answer, return final answer directly
--- a/api/core/agent/output_parser/cot_output_parser.py
+++ b/api/core/agent/output_parser/cot_output_parser.py
@@ -9,7 +9,7 @@ from core.model_runtime.entities.llm_entities import LLMResultChunk

 class CotAgentOutputParser:
    @classmethod
-    def handle_react_stream_output(cls, llm_response: Generator[LLMResultChunk, None, None], usage_dict: dict) -> \
+    def handle_react_stream_output(cls, llm_response: Generator[LLMResultChunk, None, None]) -> \
        Generator[Union[str, AgentScratchpadUnit.Action], None, None]:
        def parse_action(json_str):
            try:
@@ -58,8 +58,6 @@ class CotAgentOutputParser:
        thought_idx = 0

        for response in llm_response:
-            if response.delta.usage:
-                usage_dict['usage'] = response.delta.usage
            response = response.delta.message.content
            if not isinstance(response, str):
                continue
--- a/api/core/app/app_config/common/sensitive_word_avoidance/manager.py
+++ b/api/core/app/app_config/common/sensitive_word_avoidance/manager.py
@@ -11,7 +11,7 @@ class SensitiveWordAvoidanceConfigManager:
        if not sensitive_word_avoidance_dict:
            return None

-        if sensitive_word_avoidance_dict.get('enabled'):
+        if 'enabled' in sensitive_word_avoidance_dict and sensitive_word_avoidance_dict['enabled']:
            return SensitiveWordAvoidanceEntity(
                type=sensitive_word_avoidance_dict.get('type'),
                config=sensitive_word_avoidance_dict.get('config'),
--- a/api/core/app/app_config/features/file_upload/manager.py
+++ b/api/core/app/app_config/features/file_upload/manager.py
@@ -14,7 +14,7 @@ class FileUploadConfigManager:
        """
        file_upload_dict = config.get('file_upload')
        if file_upload_dict:
-            if file_upload_dict.get('image'):
+            if 'image' in file_upload_dict and file_upload_dict['image']:
                if 'enabled' in file_upload_dict['image'] and file_upload_dict['image']['enabled']:
                    image_config = {
                        'number_limits': file_upload_dict['image']['number_limits'],
--- a/api/core/app/app_config/features/more_like_this/manager.py
+++ b/api/core/app/app_config/features/more_like_this/manager.py
@@ -9,7 +9,7 @@ class MoreLikeThisConfigManager:
        more_like_this = False
        more_like_this_dict = config.get('more_like_this')
        if more_like_this_dict:
-            if more_like_this_dict.get('enabled'):
+            if 'enabled' in more_like_this_dict and more_like_this_dict['enabled']:
                more_like_this = True

        return more_like_this
--- a/api/core/app/app_config/features/retrieval_resource/manager.py
+++ b/api/core/app/app_config/features/retrieval_resource/manager.py
@@ -4,7 +4,7 @@ class RetrievalResourceConfigManager:
        show_retrieve_source = False
        retriever_resource_dict = config.get('retriever_resource')
        if retriever_resource_dict:
-            if retriever_resource_dict.get('enabled'):
+            if 'enabled' in retriever_resource_dict and retriever_resource_dict['enabled']:
                show_retrieve_source = True

        return show_retrieve_source
--- a/api/core/app/app_config/features/speech_to_text/manager.py
+++ b/api/core/app/app_config/features/speech_to_text/manager.py
@@ -9,7 +9,7 @@ class SpeechToTextConfigManager:
        speech_to_text = False
        speech_to_text_dict = config.get('speech_to_text')
        if speech_to_text_dict:
-            if speech_to_text_dict.get('enabled'):
+            if 'enabled' in speech_to_text_dict and speech_to_text_dict['enabled']:
                speech_to_text = True

        return speech_to_text
--- a/api/core/app/app_config/features/suggested_questions_after_answer/manager.py
+++ b/api/core/app/app_config/features/suggested_questions_after_answer/manager.py
@@ -9,7 +9,7 @@ class SuggestedQuestionsAfterAnswerConfigManager:
        suggested_questions_after_answer = False
        suggested_questions_after_answer_dict = config.get('suggested_questions_after_answer')
        if suggested_questions_after_answer_dict:
-            if suggested_questions_after_answer_dict.get('enabled'):
+            if 'enabled' in suggested_questions_after_answer_dict and suggested_questions_after_answer_dict['enabled']:
                suggested_questions_after_answer = True

        return suggested_questions_after_answer
--- a/api/core/app/app_config/features/text_to_speech/manager.py
+++ b/api/core/app/app_config/features/text_to_speech/manager.py
@@ -12,7 +12,7 @@ class TextToSpeechConfigManager:
        text_to_speech = False
        text_to_speech_dict = config.get('text_to_speech')
        if text_to_speech_dict:
-            if text_to_speech_dict.get('enabled'):
+            if 'enabled' in text_to_speech_dict and text_to_speech_dict['enabled']:
                text_to_speech = TextToSpeechEntity(
                    enabled=text_to_speech_dict.get('enabled'),
                    voice=text_to_speech_dict.get('voice'),
--- a/api/core/app/apps/advanced_chat/app_generator.py
+++ b/api/core/app/apps/advanced_chat/app_generator.py
@@ -66,7 +66,7 @@ class AdvancedChatAppGenerator(MessageBasedAppGenerator):
            conversation = self._get_conversation_by_user(app_model, args.get('conversation_id'), user)

        # parse files
-        files = args['files'] if args.get('files') else []
+        files = args['files'] if 'files' in args and args['files'] else []
        message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
        file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
        if file_extra_config:
--- a/api/core/app/apps/advanced_chat/generate_response_converter.py
+++ b/api/core/app/apps/advanced_chat/generate_response_converter.py
@@ -8,8 +8,6 @@ from core.app.entities.task_entities import (
    ChatbotAppStreamResponse,
    ErrorStreamResponse,
    MessageEndStreamResponse,
-    NodeFinishStreamResponse,
-    NodeStartStreamResponse,
    PingStreamResponse,
 )

@@ -113,8 +111,6 @@ class AdvancedChatAppGenerateResponseConverter(AppGenerateResponseConverter):
            if isinstance(sub_stream_response, ErrorStreamResponse):
                data = cls._error_to_stream_response(sub_stream_response.err)
                response_chunk.update(data)
-            elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
-                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
            else:
                response_chunk.update(sub_stream_response.to_dict())

--- a/api/core/app/apps/agent_chat/app_generator.py
+++ b/api/core/app/apps/agent_chat/app_generator.py
@@ -83,7 +83,7 @@ class AgentChatAppGenerator(MessageBasedAppGenerator):
            )

        # parse files
-        files = args['files'] if args.get('files') else []
+        files = args['files'] if 'files' in args and args['files'] else []
        message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
        file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
        if file_extra_config:
--- a/api/core/app/apps/chat/app_generator.py
+++ b/api/core/app/apps/chat/app_generator.py
@@ -80,7 +80,7 @@ class ChatAppGenerator(MessageBasedAppGenerator):
            )

        # parse files
-        files = args['files'] if args.get('files') else []
+        files = args['files'] if 'files' in args and args['files'] else []
        message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
        file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
        if file_extra_config:
--- a/api/core/app/apps/completion/app_generator.py
+++ b/api/core/app/apps/completion/app_generator.py
@@ -75,7 +75,7 @@ class CompletionAppGenerator(MessageBasedAppGenerator):
            )

        # parse files
-        files = args['files'] if args.get('files') else []
+        files = args['files'] if 'files' in args and args['files'] else []
        message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
        file_extra_config = FileUploadConfigManager.convert(override_model_config_dict or app_model_config.to_dict())
        if file_extra_config:
--- a/api/core/app/apps/workflow/app_generator.py
+++ b/api/core/app/apps/workflow/app_generator.py
@@ -49,7 +49,7 @@ class WorkflowAppGenerator(BaseAppGenerator):
        inputs = args['inputs']

        # parse files
-        files = args['files'] if args.get('files') else []
+        files = args['files'] if 'files' in args and args['files'] else []
        message_file_parser = MessageFileParser(tenant_id=app_model.tenant_id, app_id=app_model.id)
        file_extra_config = FileUploadConfigManager.convert(workflow.features_dict, is_vision=False)
        if file_extra_config:
--- a/api/core/app/apps/workflow/generate_response_converter.py
+++ b/api/core/app/apps/workflow/generate_response_converter.py
@@ -5,8 +5,6 @@ from typing import cast
 from core.app.apps.base_app_generate_response_converter import AppGenerateResponseConverter
 from core.app.entities.task_entities import (
    ErrorStreamResponse,
-    NodeFinishStreamResponse,
-    NodeStartStreamResponse,
    PingStreamResponse,
    WorkflowAppBlockingResponse,
    WorkflowAppStreamResponse,
@@ -70,24 +68,4 @@ class WorkflowAppGenerateResponseConverter(AppGenerateResponseConverter):
        :param stream_response: stream response
        :return:
        """
-        for chunk in stream_response:
-            chunk = cast(WorkflowAppStreamResponse, chunk)
-            sub_stream_response = chunk.stream_response
-
-            if isinstance(sub_stream_response, PingStreamResponse):
-                yield 'ping'
-                continue
-
-            response_chunk = {
-                'event': sub_stream_response.event.value,
-                'workflow_run_id': chunk.workflow_run_id,
-            }
-
-            if isinstance(sub_stream_response, ErrorStreamResponse):
-                data = cls._error_to_stream_response(sub_stream_response.err)
-                response_chunk.update(data)
-            elif isinstance(sub_stream_response, NodeStartStreamResponse | NodeFinishStreamResponse):
-                response_chunk.update(sub_stream_response.to_ignore_detail_dict())
-            else:
-                response_chunk.update(sub_stream_response.to_dict())
-            yield json.dumps(response_chunk)
+        return cls.convert_stream_full_response(stream_response)
--- a/api/core/app/entities/task_entities.py
+++ b/api/core/app/entities/task_entities.py
@@ -246,24 +246,6 @@ class NodeStartStreamResponse(StreamResponse):
    workflow_run_id: str
    data: Data

-    def to_ignore_detail_dict(self):
-        return {
-            "event": self.event.value,
-            "task_id": self.task_id,
-            "workflow_run_id": self.workflow_run_id,
-            "data": {
-                "id": self.data.id,
-                "node_id": self.data.node_id,
-                "node_type": self.data.node_type,
-                "title": self.data.title,
-                "index": self.data.index,
-                "predecessor_node_id": self.data.predecessor_node_id,
-                "inputs": None,
-                "created_at": self.data.created_at,
-                "extras": {}
-            }
-        }
-

 class NodeFinishStreamResponse(StreamResponse):
    """
@@ -294,31 +276,6 @@ class NodeFinishStreamResponse(StreamResponse):
    workflow_run_id: str
    data: Data

-    def to_ignore_detail_dict(self):
-        return {
-            "event": self.event.value,
-            "task_id": self.task_id,
-            "workflow_run_id": self.workflow_run_id,
-            "data": {
-                "id": self.data.id,
-                "node_id": self.data.node_id,
-                "node_type": self.data.node_type,
-                "title": self.data.title,
-                "index": self.data.index,
-                "predecessor_node_id": self.data.predecessor_node_id,
-                "inputs": None,
-                "process_data": None,
-                "outputs": None,
-                "status": self.data.status,
-                "error": None,
-                "elapsed_time": self.data.elapsed_time,
-                "execution_metadata": None,
-                "created_at": self.data.created_at,
-                "finished_at": self.data.finished_at,
-                "files": []
-            }
-        }
-

 class TextChunkStreamResponse(StreamResponse):
    """
--- a/api/core/docstore/dataset_docstore.py
+++ b/api/core/docstore/dataset_docstore.py
@@ -121,13 +121,13 @@ class DatasetDocumentStore:
                    enabled=False,
                    created_by=self._user_id,
                )
-                if doc.metadata.get('answer'):
+                if 'answer' in doc.metadata and doc.metadata['answer']:
                    segment_document.answer = doc.metadata.pop('answer', '')

                db.session.add(segment_document)
            else:
                segment_document.content = doc.page_content
-                if doc.metadata.get('answer'):
+                if 'answer' in doc.metadata and doc.metadata['answer']:
                    segment_document.answer = doc.metadata.pop('answer', '')
                segment_document.index_node_hash = doc.metadata['doc_hash']
                segment_document.word_count = len(doc.page_content)
--- a/api/core/helper/code_executor/code_executor.py
+++ b/api/core/helper/code_executor/code_executor.py
@@ -1,21 +1,14 @@
-import logging
-import time
 from enum import Enum
-from threading import Lock
 from typing import Literal, Optional

-from httpx import get, post
+from httpx import post
 from pydantic import BaseModel
 from yarl import URL

 from config import get_env
-from core.helper.code_executor.entities import CodeDependency
-from core.helper.code_executor.javascript.javascript_transformer import NodeJsTemplateTransformer
-from core.helper.code_executor.jinja2.jinja2_transformer import Jinja2TemplateTransformer
-from core.helper.code_executor.python3.python3_transformer import PYTHON_STANDARD_PACKAGES, Python3TemplateTransformer
-from core.helper.code_executor.template_transformer import TemplateTransformer
-
-logger = logging.getLogger(__name__)
+from core.helper.code_executor.javascript_transformer import NodeJsTemplateTransformer
+from core.helper.code_executor.jinja2_transformer import Jinja2TemplateTransformer
+from core.helper.code_executor.python_transformer import PythonTemplateTransformer

 # Code Executor
 CODE_EXECUTION_ENDPOINT = get_env('CODE_EXECUTION_ENDPOINT')
@@ -43,11 +36,8 @@ class CodeLanguage(str, Enum):


 class CodeExecutor:
-    dependencies_cache = {}
-    dependencies_cache_lock = Lock()
-
-    code_template_transformers: dict[CodeLanguage, type[TemplateTransformer]] = {
-        CodeLanguage.PYTHON3: Python3TemplateTransformer,
+    code_template_transformers = {
+        CodeLanguage.PYTHON3: PythonTemplateTransformer,
        CodeLanguage.JINJA2: Jinja2TemplateTransformer,
        CodeLanguage.JAVASCRIPT: NodeJsTemplateTransformer,
    }
@@ -58,16 +48,8 @@ class CodeExecutor:
        CodeLanguage.PYTHON3: CodeLanguage.PYTHON3,
    }

-    supported_dependencies_languages: set[CodeLanguage] = {
-        CodeLanguage.PYTHON3
-    }
-
    @classmethod
-    def execute_code(cls, 
-                     language: Literal['python3', 'javascript', 'jinja2'], 
-                     preload: str, 
-                     code: str, 
-                     dependencies: Optional[list[CodeDependency]] = None) -> str:
+    def execute_code(cls, language: Literal['python3', 'javascript', 'jinja2'], preload: str, code: str) -> str:
        """
        Execute code
        :param language: code language
@@ -83,13 +65,9 @@ class CodeExecutor:
        data = {
            'language': cls.code_language_to_running_language.get(language),
            'code': code,
-            'preload': preload,
-            'enable_network': True
+            'preload': preload
        }

-        if dependencies:
-            data['dependencies'] = [dependency.dict() for dependency in dependencies]
-
        try:
            response = post(str(url), json=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT)
            if response.status_code == 503:
@@ -117,7 +95,7 @@ class CodeExecutor:
        return response.data.stdout

    @classmethod
-    def execute_workflow_code_template(cls, language: Literal['python3', 'javascript', 'jinja2'], code: str, inputs: dict, dependencies: Optional[list[CodeDependency]] = None) -> dict:
+    def execute_workflow_code_template(cls, language: Literal['python3', 'javascript', 'jinja2'], code: str, inputs: dict) -> dict:
        """
        Execute code
        :param language: code language
@@ -129,66 +107,11 @@ class CodeExecutor:
        if not template_transformer:
            raise CodeExecutionException(f'Unsupported language {language}')

-        runner, preload, dependencies = template_transformer.transform_caller(code, inputs, dependencies)
+        runner, preload = template_transformer.transform_caller(code, inputs)

        try:
-            response = cls.execute_code(language, preload, runner, dependencies)
+            response = cls.execute_code(language, preload, runner)
        except CodeExecutionException as e:
            raise e

-        return template_transformer.transform_response(response)
-    
-    @classmethod
-    def list_dependencies(cls, language: str) -> list[CodeDependency]:
-        if language not in cls.supported_dependencies_languages:
-            return []
-
-        with cls.dependencies_cache_lock:
-            if language in cls.dependencies_cache:
-                # check expiration
-                dependencies = cls.dependencies_cache[language]
-                if dependencies['expiration'] > time.time():
-                    return dependencies['data']
-                # remove expired cache
-                del cls.dependencies_cache[language]
-        
-        dependencies = cls._get_dependencies(language)
-        with cls.dependencies_cache_lock:
-            cls.dependencies_cache[language] = {
-                'data': dependencies,
-                'expiration': time.time() + 60
-            }
-        
-        return dependencies
-        
-    @classmethod
-    def _get_dependencies(cls, language: Literal['python3']) -> list[CodeDependency]:
-        """
-        List dependencies
-        """
-        url = URL(CODE_EXECUTION_ENDPOINT) / 'v1' / 'sandbox' / 'dependencies'
-
-        headers = {
-            'X-Api-Key': CODE_EXECUTION_API_KEY
-        }
-
-        running_language = cls.code_language_to_running_language.get(language)
-        if isinstance(running_language, Enum):
-            running_language = running_language.value
-
-        data = {
-            'language': running_language,
-        }
-
-        try:
-            response = get(str(url), params=data, headers=headers, timeout=CODE_EXECUTION_TIMEOUT)
-            if response.status_code != 200:
-                raise Exception(f'Failed to list dependencies, got status code {response.status_code}, please check if the sandbox service is running')
-            response = response.json()
-            dependencies = response.get('data', {}).get('dependencies', [])
-            return [
-                CodeDependency(**dependency) for dependency in dependencies if dependency.get('name') not in PYTHON_STANDARD_PACKAGES
-            ]
-        except Exception as e:
-            logger.exception(f'Failed to list dependencies: {e}')
-            return []
+        return template_transformer.transform_response(response)
--- a/api/core/helper/code_executor/code_node_provider.py
+++ b/api/core/helper/code_executor/code_node_provider.py
@@ -1,55 +0,0 @@
-from abc import abstractmethod
-
-from pydantic import BaseModel
-
-from core.helper.code_executor.code_executor import CodeExecutor
-
-
-class CodeNodeProvider(BaseModel):
-    @staticmethod
-    @abstractmethod
-    def get_language() -> str:
-        pass
-
-    @classmethod
-    def is_accept_language(cls, language: str) -> bool:
-        return language == cls.get_language()
-
-    @classmethod
-    @abstractmethod
-    def get_default_code(cls) -> str:
-        """
-        get default code in specific programming language for the code node
-        """
-        pass
-
-    @classmethod
-    def get_default_available_packages(cls) -> list[dict]:
-        return [p.dict() for p in CodeExecutor.list_dependencies(cls.get_language())]
-
-    @classmethod
-    def get_default_config(cls) -> dict:
-        return {
-            "type": "code",
-            "config": {
-                "variables": [
-                    {
-                        "variable": "arg1",
-                        "value_selector": []
-                    },
-                    {
-                        "variable": "arg2",
-                        "value_selector": []
-                    }
-                ],
-                "code_language": cls.get_language(),
-                "code": cls.get_default_code(),
-                "outputs": {
-                    "result": {
-                        "type": "string",
-                        "children": None
-                    }
-                }
-            },
-            "available_dependencies": cls.get_default_available_packages(),
-        }
--- a/api/core/helper/code_executor/entities.py
+++ b/api/core/helper/code_executor/entities.py
@@ -1,6 +0,0 @@
-from pydantic import BaseModel
-
-
-class CodeDependency(BaseModel):
-    name: str
-    version: str
--- a/api/core/helper/code_executor/javascript/init.py
+++ b/api/core/helper/code_executor/javascript/init.py
--- a/api/core/helper/code_executor/javascript/javascript_code_provider.py
+++ b/api/core/helper/code_executor/javascript/javascript_code_provider.py
@@ -1,21 +0,0 @@
-from textwrap import dedent
-
-from core.helper.code_executor.code_executor import CodeLanguage
-from core.helper.code_executor.code_node_provider import CodeNodeProvider
-
-
-class JavascriptCodeProvider(CodeNodeProvider):
-    @staticmethod
-    def get_language() -> str:
-        return CodeLanguage.JAVASCRIPT
-
-    @classmethod
-    def get_default_code(cls) -> str:
-        return dedent(
-            """
-            function main({arg1, arg2}) {
-                return {
-                    result: arg1 + arg2
-                }
-            }
-            """)
--- a/api/core/helper/code_executor/javascript/javascript_transformer.py
+++ b/api/core/helper/code_executor/javascript/javascript_transformer.py
@@ -1,8 +1,6 @@
 import json
 import re
-from typing import Optional

-from core.helper.code_executor.entities import CodeDependency
 from core.helper.code_executor.template_transformer import TemplateTransformer

 NODEJS_RUNNER = """// declare main function here
@@ -22,11 +20,9 @@ console.log(result)

 NODEJS_PRELOAD = """"""

-
 class NodeJsTemplateTransformer(TemplateTransformer):
    @classmethod
-    def transform_caller(cls, code: str, inputs: dict, 
-                         dependencies: Optional[list[CodeDependency]] = None) -> tuple[str, str, list[CodeDependency]]:
+    def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
        """
        Transform code to python runner
        :param code: code
@@ -41,7 +37,7 @@ class NodeJsTemplateTransformer(TemplateTransformer):
        runner = NODEJS_RUNNER.replace('{{code}}', code)
        runner = runner.replace('{{inputs}}', inputs_str)

-        return runner, NODEJS_PRELOAD, []
+        return runner, NODEJS_PRELOAD

    @classmethod
    def transform_response(cls, response: str) -> dict:
--- a/api/core/helper/code_executor/jinja2/init.py
+++ b/api/core/helper/code_executor/jinja2/init.py
--- a/api/core/helper/code_executor/jinja2/jinja2_formatter.py
+++ b/api/core/helper/code_executor/jinja2/jinja2_formatter.py
@@ -1,17 +0,0 @@
-from core.helper.code_executor.code_executor import CodeExecutor, CodeLanguage
-
-
-class Jinja2Formatter:
-    @classmethod
-    def format(cls, template: str, inputs: str) -> str:
-        """
-        Format template
-        :param template: template
-        :param inputs: inputs
-        :return:
-        """
-        result = CodeExecutor.execute_workflow_code_template(
-            language=CodeLanguage.JINJA2, code=template, inputs=inputs
-        )
-
-        return result['result']
--- a/api/core/helper/code_executor/jinja2/jinja2_transformer.py
+++ b/api/core/helper/code_executor/jinja2/jinja2_transformer.py
@@ -1,10 +1,7 @@
 import json
 import re
 from base64 import b64encode
-from typing import Optional

-from core.helper.code_executor.entities import CodeDependency
-from core.helper.code_executor.python3.python3_transformer import PYTHON_STANDARD_PACKAGES
 from core.helper.code_executor.template_transformer import TemplateTransformer

 PYTHON_RUNNER = """
@@ -61,8 +58,7 @@ if __name__ == '__main__':

 class Jinja2TemplateTransformer(TemplateTransformer):
    @classmethod
-    def transform_caller(cls, code: str, inputs: dict, 
-                         dependencies: Optional[list[CodeDependency]] = None) -> tuple[str, str, list[CodeDependency]]:
+    def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
        """
        Transform code to python runner
        :param code: code
@@ -76,19 +72,7 @@ class Jinja2TemplateTransformer(TemplateTransformer):
        runner = PYTHON_RUNNER.replace('{{code}}', code)
        runner = runner.replace('{{inputs}}', inputs_str)

-        if not dependencies:
-            dependencies = []
-
-        # add native packages and jinja2
-        for package in PYTHON_STANDARD_PACKAGES.union(['jinja2']):
-            dependencies.append(CodeDependency(name=package, version=''))
-
-        # deduplicate
-        dependencies = list({
-            dep.name: dep for dep in dependencies if dep.name
-        }.values())
-
-        return runner, JINJA2_PRELOAD, dependencies
+        return runner, JINJA2_PRELOAD

    @classmethod
    def transform_response(cls, response: str) -> dict:
--- a/api/core/helper/code_executor/python3/init.py
+++ b/api/core/helper/code_executor/python3/init.py
--- a/api/core/helper/code_executor/python3/python3_code_provider.py
+++ b/api/core/helper/code_executor/python3/python3_code_provider.py
@@ -1,20 +0,0 @@
-from textwrap import dedent
-
-from core.helper.code_executor.code_executor import CodeLanguage
-from core.helper.code_executor.code_node_provider import CodeNodeProvider
-
-
-class Python3CodeProvider(CodeNodeProvider):
-    @staticmethod
-    def get_language() -> str:
-        return CodeLanguage.PYTHON3
-
-    @classmethod
-    def get_default_code(cls) -> str:
-        return dedent(
-            """
-            def main(arg1: int, arg2: int) -> dict:
-                return {
-                    "result": arg1 + arg2,
-                }
-            """)
--- a/api/core/helper/code_executor/python3/python3_transformer.py
+++ b/api/core/helper/code_executor/python3/python3_transformer.py
@@ -1,14 +1,10 @@
 import json
 import re
 from base64 import b64encode
-from textwrap import dedent
-from typing import Optional

-from core.helper.code_executor.entities import CodeDependency
 from core.helper.code_executor.template_transformer import TemplateTransformer

-PYTHON_RUNNER = dedent("""
-# declare main function here
+PYTHON_RUNNER = """# declare main function here
 {{code}}

 from json import loads, dumps
@@ -27,20 +23,34 @@ result = f'''<<RESULT>>
 <<RESULT>>'''

 print(result)
-""")
+"""

-PYTHON_PRELOAD = """"""
+PYTHON_PRELOAD = """
+# prepare general imports
+import json
+import datetime
+import math
+import random
+import re
+import string
+import sys
+import time
+import traceback
+import uuid
+import os
+import base64
+import hashlib
+import hmac
+import binascii
+import collections
+import functools
+import operator
+import itertools
+"""

-PYTHON_STANDARD_PACKAGES = {
-    'json', 'datetime', 'math', 'random', 're', 'string', 'sys', 'time', 'traceback', 'uuid', 'os', 'base64',
-    'hashlib', 'hmac', 'binascii', 'collections', 'functools', 'operator', 'itertools', 'uuid',
-}
-
-
-class Python3TemplateTransformer(TemplateTransformer):
+class PythonTemplateTransformer(TemplateTransformer):
    @classmethod
-    def transform_caller(cls, code: str, inputs: dict, 
-                         dependencies: Optional[list[CodeDependency]] = None) -> tuple[str, str, list[CodeDependency]]:
+    def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
        """
        Transform code to python runner
        :param code: code
@@ -55,18 +65,7 @@ class Python3TemplateTransformer(TemplateTransformer):
        runner = PYTHON_RUNNER.replace('{{code}}', code)
        runner = runner.replace('{{inputs}}', inputs_str)

-        # add standard packages
-        if dependencies is None:
-            dependencies = []
-
-        for package in PYTHON_STANDARD_PACKAGES:
-            if package not in dependencies:
-                dependencies.append(CodeDependency(name=package, version=''))
-
-        # deduplicate
-        dependencies = list({dep.name: dep for dep in dependencies if dep.name}.values())
-
-        return runner, PYTHON_PRELOAD, dependencies
+        return runner, PYTHON_PRELOAD
    
    @classmethod
    def transform_response(cls, response: str) -> dict:
--- a/api/core/helper/code_executor/template_transformer.py
+++ b/api/core/helper/code_executor/template_transformer.py
@@ -1,14 +1,10 @@
 from abc import ABC, abstractmethod
-from typing import Optional
-
-from core.helper.code_executor.entities import CodeDependency


 class TemplateTransformer(ABC):
    @classmethod
    @abstractmethod
-    def transform_caller(cls, code: str, inputs: dict, 
-                         dependencies: Optional[list[CodeDependency]] = None) -> tuple[str, str, list[CodeDependency]]:
+    def transform_caller(cls, code: str, inputs: dict) -> tuple[str, str]:
        """
        Transform code to python runner
        :param code: code
--- a/api/core/helper/ssrf_proxy.py
+++ b/api/core/helper/ssrf_proxy.py
@@ -42,20 +42,6 @@ def delete(url, *args, **kwargs):
        if kwargs['follow_redirects']:
            kwargs['allow_redirects'] = kwargs['follow_redirects']
        kwargs.pop('follow_redirects')
-    if 'timeout' in kwargs:
-        timeout = kwargs['timeout']
-        if timeout is None:
-            kwargs.pop('timeout')
-        elif isinstance(timeout, tuple):
-            # check length of tuple
-            if len(timeout) == 2:
-                kwargs['timeout'] = timeout
-            elif len(timeout) == 1:
-                kwargs['timeout'] = timeout[0]
-            elif len(timeout) > 2:
-                kwargs['timeout'] = (timeout[0], timeout[1])
-        else:
-            kwargs['timeout'] = (timeout, timeout)
    return _delete(url=url, *args, proxies=requests_proxies, **kwargs)

 def head(url, *args, **kwargs):
--- a/api/core/indexing_runner.py
+++ b/api/core/indexing_runner.py
@@ -411,15 +411,14 @@ class IndexingRunner:
            # The user-defined segmentation rule
            rules = json.loads(processing_rule.rules)
            segmentation = rules["segmentation"]
-            max_segmentation_tokens_length = int(current_app.config['INDEXING_MAX_SEGMENTATION_TOKENS_LENGTH'])
-            if segmentation["max_tokens"] < 50 or segmentation["max_tokens"] > max_segmentation_tokens_length:
-                raise ValueError(f"Custom segment length should be between 50 and {max_segmentation_tokens_length}.")
+            if segmentation["max_tokens"] < 50 or segmentation["max_tokens"] > 1000:
+                raise ValueError("Custom segment length should be between 50 and 1000.")

            separator = segmentation["separator"]
            if separator:
                separator = separator.replace('\\n', '\n')

-            if segmentation.get('chunk_overlap'):
+            if 'chunk_overlap' in segmentation and segmentation['chunk_overlap']:
                chunk_overlap = segmentation['chunk_overlap']
            else:
                chunk_overlap = 0
--- a/api/core/model_runtime/docs/en_US/schema.md
+++ b/api/core/model_runtime/docs/en_US/schema.md
@@ -51,7 +51,7 @@
  - `voices` (list)  List of available voice.（available for model type `tts`）
    - `mode` (string)  voice model.（available for model type `tts`）
    - `name` (string)  voice model display name.（available for model type `tts`）
-    - `language` (string)  the voice model supports languages.（available for model type `tts`）
+    - `lanuage` (string)  the voice model supports languages.（available for model type `tts`）
  - `word_limit` (int)  Single conversion word limit, paragraphwise by default（available for model type `tts`）
  - `audio_type` (string)  Support audio file extension format, e.g.：mp3,wav（available for model type `tts`）
  - `max_workers` (int)  Number of concurrent workers supporting text and audio conversion（available for model type`tts`）
--- a/api/core/model_runtime/docs/zh_Hans/schema.md
+++ b/api/core/model_runtime/docs/zh_Hans/schema.md
@@ -52,7 +52,7 @@
  - `voices` (list)  可选音色列表。
    - `mode` (string)  音色模型。（模型类型 `tts` 可用）
    - `name` (string)  音色模型显示名称。（模型类型 `tts` 可用）
-    - `language` (string)  音色模型支持语言。（模型类型 `tts` 可用）
+    - `lanuage` (string)  音色模型支持语言。（模型类型 `tts` 可用）
  - `word_limit` (int)  单次转换字数限制，默认按段落分段（模型类型 `tts` 可用）
  - `audio_type` (string)  支持音频文件扩展格式，如：mp3,wav（模型类型 `tts` 可用）
  - `max_workers` (int)  支持文字音频转换并发任务数（模型类型 `tts` 可用）
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-haiku-20240307.yaml
+++ b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-haiku-20240307.yaml
@@ -6,7 +6,6 @@ features:
  - agent-thought
  - vision
  - tool-call
-  - stream-tool-call
 model_properties:
  mode: chat
  context_size: 200000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-opus-20240229.yaml
+++ b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-opus-20240229.yaml
@@ -6,7 +6,6 @@ features:
  - agent-thought
  - vision
  - tool-call
-  - stream-tool-call
 model_properties:
  mode: chat
  context_size: 200000
--- a/api/core/model_runtime/model_providers/anthropic/llm/claude-3-sonnet-20240229.yaml
+++ b/api/core/model_runtime/model_providers/anthropic/llm/claude-3-sonnet-20240229.yaml
@@ -6,7 +6,6 @@ features:
  - agent-thought
  - vision
  - tool-call
-  - stream-tool-call
 model_properties:
  mode: chat
  context_size: 200000
--- a/api/core/model_runtime/model_providers/anthropic/llm/llm.py
+++ b/api/core/model_runtime/model_providers/anthropic/llm/llm.py
@@ -146,7 +146,7 @@ class AnthropicLargeLanguageModel(LargeLanguageModel):
        """
        Code block mode wrapper for invoking large language model
        """
-        if model_parameters.get('response_format'):
+        if 'response_format' in model_parameters and model_parameters['response_format']:
            stop = stop or []
            # chat model
            self._transform_chat_json_prompts(
@@ -324,32 +324,10 @@ class AnthropicLargeLanguageModel(LargeLanguageModel):
        output_tokens = 0
        finish_reason = None
        index = 0
-
-        tool_calls: list[AssistantPromptMessage.ToolCall] = []
-
        for chunk in response:
            if isinstance(chunk, MessageStartEvent):
-                if hasattr(chunk, 'content_block'):
-                    content_block = chunk.content_block
-                    if isinstance(content_block, dict):
-                        if content_block.get('type') == 'tool_use':
-                            tool_call = AssistantPromptMessage.ToolCall(
-                                id=content_block.get('id'),
-                                type='function',
-                                function=AssistantPromptMessage.ToolCall.ToolCallFunction(
-                                    name=content_block.get('name'),
-                                    arguments=''
-                                )
-                            )
-                            tool_calls.append(tool_call)
-                elif hasattr(chunk, 'delta'):
-                    delta = chunk.delta
-                    if isinstance(delta, dict) and len(tool_calls) > 0:
-                        if delta.get('type') == 'input_json_delta':
-                            tool_calls[-1].function.arguments += delta.get('partial_json', '')
-                elif chunk.message:
-                    return_model = chunk.message.model
-                    input_tokens = chunk.message.usage.input_tokens
+                return_model = chunk.message.model
+                input_tokens = chunk.message.usage.input_tokens
            elif isinstance(chunk, MessageDeltaEvent):
                output_tokens = chunk.usage.output_tokens
                finish_reason = chunk.delta.stop_reason
@@ -357,19 +335,13 @@ class AnthropicLargeLanguageModel(LargeLanguageModel):
                # transform usage
                usage = self._calc_response_usage(model, credentials, input_tokens, output_tokens)

-                # transform empty tool call arguments to {}
-                for tool_call in tool_calls:
-                    if not tool_call.function.arguments:
-                        tool_call.function.arguments = '{}'
-
                yield LLMResultChunk(
                    model=return_model,
                    prompt_messages=prompt_messages,
                    delta=LLMResultChunkDelta(
                        index=index + 1,
                        message=AssistantPromptMessage(
-                            content='',
-                            tool_calls=tool_calls
+                            content=''
                        ),
                        finish_reason=finish_reason,
                        usage=usage
@@ -408,7 +380,7 @@ class AnthropicLargeLanguageModel(LargeLanguageModel):
            "max_retries": 1,
        }

-        if credentials.get('anthropic_api_url'):
+        if 'anthropic_api_url' in credentials and credentials['anthropic_api_url']:
            credentials['anthropic_api_url'] = credentials['anthropic_api_url'].rstrip('/')
            credentials_kwargs['base_url'] = credentials['anthropic_api_url']

--- a/api/core/model_runtime/model_providers/azure_openai/_constant.py
+++ b/api/core/model_runtime/model_providers/azure_openai/_constant.py
@@ -482,82 +482,6 @@ LLM_BASE_MODELS = [
            )
        )
    ),
-    AzureBaseModel(
-        base_model_name='gpt-4-turbo',
-        entity=AIModelEntity(
-            model='fake-deployment-name',
-            label=I18nObject(
-                en_US='fake-deployment-name-label',
-            ),
-            model_type=ModelType.LLM,
-            features=[
-                ModelFeature.AGENT_THOUGHT,
-                ModelFeature.VISION,
-                ModelFeature.MULTI_TOOL_CALL,
-                ModelFeature.STREAM_TOOL_CALL,
-            ],
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
-            model_properties={
-                ModelPropertyKey.MODE: LLMMode.CHAT.value,
-                ModelPropertyKey.CONTEXT_SIZE: 128000,
-            },
-            parameter_rules=[
-                ParameterRule(
-                    name='temperature',
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TEMPERATURE],
-                ),
-                ParameterRule(
-                    name='top_p',
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.TOP_P],
-                ),
-                ParameterRule(
-                    name='presence_penalty',
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.PRESENCE_PENALTY],
-                ),
-                ParameterRule(
-                    name='frequency_penalty',
-                    **PARAMETER_RULE_TEMPLATE[DefaultParameterName.FREQUENCY_PENALTY],
-                ),
-                _get_max_tokens(default=512, min_val=1, max_val=4096),
-                ParameterRule(
-                    name='seed',
-                    label=I18nObject(
-                        zh_Hans='种子',
-                        en_US='Seed'
-                    ),
-                    type='int',
-                    help=I18nObject(
-                        zh_Hans='如果指定，模型将尽最大努力进行确定性采样，使得重复的具有相同种子和参数的请求应该返回相同的结果。不能保证确定性，您应该参考 system_fingerprint 响应参数来监视变化。',
-                        en_US='If specified, model will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.'
-                    ),
-                    required=False,
-                    precision=2,
-                    min=0,
-                    max=1,
-                ),
-                ParameterRule(
-                    name='response_format',
-                    label=I18nObject(
-                        zh_Hans='回复格式',
-                        en_US='response_format'
-                    ),
-                    type='string',
-                    help=I18nObject(
-                        zh_Hans='指定模型必须输出的格式',
-                        en_US='specifying the format that the model must output'
-                    ),
-                    required=False,
-                    options=['text', 'json_object']
-                ),
-            ],
-            pricing=PriceConfig(
-                input=0.001,
-                output=0.003,
-                unit=0.001,
-                currency='USD',
-            )
-        )
-    ),
    AzureBaseModel(
        base_model_name='gpt-4-turbo-2024-04-09',
        entity=AIModelEntity(
--- a/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
+++ b/api/core/model_runtime/model_providers/azure_openai/azure_openai.yaml
@@ -99,12 +99,6 @@ model_credential_schema:
          show_on:
            - variable: __model_type
              value: llm
-        - label:
-            en_US: gpt-4-turbo
-          value: gpt-4-turbo
-          show_on:
-            - variable: __model_type
-              value: llm
        - label:
            en_US: gpt-4-turbo-2024-04-09
          value: gpt-4-turbo-2024-04-09
--- a/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo.py
+++ b/api/core/model_runtime/model_providers/baichuan/llm/baichuan_turbo.py
@@ -89,7 +89,7 @@ class BaichuanModel:
            # save stop reason temporarily
            stop_reason = ''
            for choice in choices:
-                if choice.get('finish_reason'):
+                if 'finish_reason' in choice and choice['finish_reason']:
                    stop_reason = choice['finish_reason']

                if len(choice['delta']['content']) == 0:
--- a/api/core/model_runtime/model_providers/chatglm/llm/llm.py
+++ b/api/core/model_runtime/model_providers/chatglm/llm/llm.py
@@ -1,5 +1,6 @@
 import logging
 from collections.abc import Generator
+from os.path import join
 from typing import Optional, cast

 from httpx import Timeout
@@ -18,7 +19,6 @@ from openai import (
 )
 from openai.types.chat import ChatCompletion, ChatCompletionChunk
 from openai.types.chat.chat_completion_message import FunctionCall
-from yarl import URL

 from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
 from core.model_runtime.entities.message_entities import (
@@ -265,7 +265,7 @@ class ChatGLMLargeLanguageModel(LargeLanguageModel):
        client_kwargs = {
            "timeout": Timeout(315.0, read=300.0, write=10.0, connect=5.0),
            "api_key": "1",
-            "base_url": str(URL(credentials['api_base']) / 'v1')
+            "base_url": join(credentials['api_base'], 'v1')
        }

        return client_kwargs
--- a/api/core/model_runtime/model_providers/localai/localai.yaml
+++ b/api/core/model_runtime/model_providers/localai/localai.yaml
@@ -15,7 +15,6 @@ help:
 supported_model_types:
  - llm
  - text-embedding
-  - rerank
  - speech2text
 configurate_methods:
  - customizable-model
--- a/api/core/model_runtime/model_providers/localai/rerank/init.py
+++ b/api/core/model_runtime/model_providers/localai/rerank/init.py
--- a/api/core/model_runtime/model_providers/localai/rerank/rerank.py
+++ b/api/core/model_runtime/model_providers/localai/rerank/rerank.py
@@ -1,120 +0,0 @@
-from json import dumps
-from typing import Optional
-
-import httpx
-from requests import post
-from yarl import URL
-
-from core.model_runtime.entities.rerank_entities import RerankDocument, RerankResult
-from core.model_runtime.errors.invoke import (
-    InvokeAuthorizationError,
-    InvokeBadRequestError,
-    InvokeConnectionError,
-    InvokeError,
-    InvokeRateLimitError,
-    InvokeServerUnavailableError,
-)
-from core.model_runtime.errors.validate import CredentialsValidateFailedError
-from core.model_runtime.model_providers.__base.rerank_model import RerankModel
-
-
-class LocalaiRerankModel(RerankModel):
-    """
-    LocalAI rerank model API is compatible with Jina rerank model API. So just copy the JinaRerankModel class code here.
-    """
-
-    def _invoke(self, model: str, credentials: dict,
-                query: str, docs: list[str], score_threshold: Optional[float] = None, top_n: Optional[int] = None,
-                user: Optional[str] = None) -> RerankResult:
-        """
-        Invoke rerank model
-
-        :param model: model name
-        :param credentials: model credentials
-        :param query: search query
-        :param docs: docs for reranking
-        :param score_threshold: score threshold
-        :param top_n: top n documents to return
-        :param user: unique user id
-        :return: rerank result
-        """
-        if len(docs) == 0:
-            return RerankResult(model=model, docs=[])
-
-        server_url = credentials['server_url']
-        model_name = model
-        
-        if not server_url:
-            raise CredentialsValidateFailedError('server_url is required')
-        if not model_name:
-            raise CredentialsValidateFailedError('model_name is required')
-        
-        url = server_url
-        headers = {
-            'Authorization': f"Bearer {credentials.get('api_key')}",
-            'Content-Type': 'application/json'
-        }
-
-        data = {
-            "model": model_name,
-            "query": query,
-            "documents": docs,
-            "top_n": top_n
-        }
-
-        try:
-            response = post(str(URL(url) / 'rerank'), headers=headers, data=dumps(data), timeout=10)
-            response.raise_for_status() 
-            results = response.json()
-
-            rerank_documents = []
-            for result in results['results']:  
-                rerank_document = RerankDocument(
-                    index=result['index'],
-                    text=result['document']['text'],
-                    score=result['relevance_score'],
-                )
-                if score_threshold is None or result['relevance_score'] >= score_threshold:
-                    rerank_documents.append(rerank_document)
-
-            return RerankResult(model=model, docs=rerank_documents)
-        except httpx.HTTPStatusError as e:
-            raise InvokeServerUnavailableError(str(e))  
-
-    def validate_credentials(self, model: str, credentials: dict) -> None:
-        """
-        Validate model credentials
-
-        :param model: model name
-        :param credentials: model credentials
-        :return:
-        """
-        try:
-            
-            self._invoke(
-                model=model,
-                credentials=credentials,
-                query="What is the capital of the United States?",
-                docs=[
-                    "Carson City is the capital city of the American state of Nevada. At the 2010 United States "
-                    "Census, Carson City had a population of 55,274.",
-                    "The Commonwealth of the Northern Mariana Islands is a group of islands in the Pacific Ocean that "
-                    "are a political division controlled by the United States. Its capital is Saipan.",
-                ],
-                score_threshold=0.8
-            )
-        except Exception as ex:
-            raise CredentialsValidateFailedError(str(ex))
-
-    @property
-    def _invoke_error_mapping(self) -> dict[type[InvokeError], list[type[Exception]]]:
-        """
-        Map model invoke error to unified error
-        """
-        return {
-            InvokeConnectionError: [httpx.ConnectError],
-            InvokeServerUnavailableError: [httpx.RemoteProtocolError],
-            InvokeRateLimitError: [], 
-            InvokeAuthorizationError: [httpx.HTTPStatusError],  
-            InvokeBadRequestError: [httpx.RequestError]
-        }
--- a/api/core/model_runtime/model_providers/minimax/llm/abab5-chat.yaml
+++ b/api/core/model_runtime/model_providers/minimax/llm/abab5-chat.yaml
@@ -18,15 +18,6 @@ parameter_rules:
    default: 6144
    min: 1
    max: 6144
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
  - name: presence_penalty
    use_template: presence_penalty
  - name: frequency_penalty
--- a/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml
+++ b/api/core/model_runtime/model_providers/minimax/llm/abab5.5-chat.yaml
@@ -26,15 +26,6 @@ parameter_rules:
    default: 6144
    min: 1
    max: 16384
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
  - name: presence_penalty
    use_template: presence_penalty
  - name: frequency_penalty
--- a/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml
+++ b/api/core/model_runtime/model_providers/minimax/llm/abab5.5s-chat.yaml
@@ -24,15 +24,6 @@ parameter_rules:
    default: 3072
    min: 1
    max: 8192
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
  - name: presence_penalty
    use_template: presence_penalty
  - name: frequency_penalty
--- a/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml
+++ b/api/core/model_runtime/model_providers/minimax/llm/abab6-chat.yaml
@@ -26,15 +26,6 @@ parameter_rules:
    default: 2048
    min: 1
    max: 32768
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
  - name: presence_penalty
    use_template: presence_penalty
  - name: frequency_penalty
--- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml
+++ b/api/core/model_runtime/model_providers/minimax/llm/abab6.5-chat.yaml
@@ -26,15 +26,6 @@ parameter_rules:
    default: 2048
    min: 1
    max: 8192
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
  - name: presence_penalty
    use_template: presence_penalty
  - name: frequency_penalty
--- a/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml
+++ b/api/core/model_runtime/model_providers/minimax/llm/abab6.5s-chat.yaml
@@ -26,15 +26,6 @@ parameter_rules:
    default: 2048
    min: 1
    max: 245760
-  - name: mask_sensitive_info
-    type: boolean
-    default: true
-    label:
-      zh_Hans: 隐私保护
-      en_US: Moderate
-    help:
-      zh_Hans: 对输出中易涉及隐私问题的文本信息进行打码，目前包括但不限于邮箱、域名、链接、证件号、家庭住址等，默认true，即开启打码
-      en_US: Mask the sensitive info of the generated content, such as email/domain/link/address/phone/id..
  - name: presence_penalty
    use_template: presence_penalty
  - name: frequency_penalty
--- a/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py
+++ b/api/core/model_runtime/model_providers/minimax/llm/chat_completion_pro.py
@@ -20,16 +20,16 @@ class MinimaxChatCompletionPro:
        Minimax Chat Completion Pro API, supports function calling
        however, we do not have enough time and energy to implement it, but the parameters are reserved
    """
-    def generate(self, model: str, api_key: str, group_id: str,
+    def generate(self, model: str, api_key: str, group_id: str, 
                 prompt_messages: list[MinimaxMessage], model_parameters: dict,
                 tools: list[dict[str, Any]], stop: list[str] | None, stream: bool, user: str) \
-            -> Union[MinimaxMessage, Generator[MinimaxMessage, None, None]]:
+        -> Union[MinimaxMessage, Generator[MinimaxMessage, None, None]]:
        """
            generate chat completion
        """
        if not api_key or not group_id:
            raise InvalidAPIKeyError('Invalid API key or group ID')
-
+        
        url = f'https://api.minimax.chat/v1/text/chatcompletion_pro?GroupId={group_id}'

        extra_kwargs = {}
@@ -42,11 +42,8 @@ class MinimaxChatCompletionPro:

        if 'top_p' in model_parameters and type(model_parameters['top_p']) == float:
            extra_kwargs['top_p'] = model_parameters['top_p']
-
-        if 'mask_sensitive_info' in model_parameters and type(model_parameters['mask_sensitive_info']) == bool:
-            extra_kwargs['mask_sensitive_info'] = model_parameters['mask_sensitive_info']
        
-        if model_parameters.get('plugin_web_search'):
+        if 'plugin_web_search' in model_parameters and model_parameters['plugin_web_search']:
            extra_kwargs['plugins'] = [
                'plugin_web_search'
            ]
@@ -64,7 +61,7 @@ class MinimaxChatCompletionPro:
        # check if there is a system message
        if len(prompt_messages) == 0:
            raise BadRequestError('At least one message is required')
-
+        
        if prompt_messages[0].role == MinimaxMessage.Role.SYSTEM.value:
            if prompt_messages[0].content:
                bot_setting['content'] = prompt_messages[0].content
@@ -73,7 +70,7 @@ class MinimaxChatCompletionPro:
        # check if there is a user message
        if len(prompt_messages) == 0:
            raise BadRequestError('At least one user message is required')
-
+        
        messages = [message.to_dict() for message in prompt_messages]

        headers = {
@@ -92,21 +89,21 @@ class MinimaxChatCompletionPro:

        if tools:
            body['functions'] = tools
-            body['function_call'] = {'type': 'auto'}
+            body['function_call'] = { 'type': 'auto' }

        try:
            response = post(
                url=url, data=dumps(body), headers=headers, stream=stream, timeout=(10, 300))
        except Exception as e:
            raise InternalServerError(e)
-
+        
        if response.status_code != 200:
            raise InternalServerError(response.text)
-
+        
        if stream:
            return self._handle_stream_chat_generate_response(response)
        return self._handle_chat_generate_response(response)
-
+    
    def _handle_error(self, code: int, msg: str):
        if code == 1000 or code == 1001 or code == 1013 or code == 1027:
            raise InternalServerError(msg)
@@ -130,7 +127,7 @@ class MinimaxChatCompletionPro:
            code = response['base_resp']['status_code']
            msg = response['base_resp']['status_msg']
            self._handle_error(code, msg)
-
+        
        message = MinimaxMessage(
            content=response['reply'],
            role=MinimaxMessage.Role.ASSISTANT.value
@@ -147,6 +144,7 @@ class MinimaxChatCompletionPro:
        """
            handle stream chat generate response
        """
+        function_call_storage = None
        for line in response.iter_lines():
            if not line:
                continue
@@ -160,41 +158,54 @@ class MinimaxChatCompletionPro:
                msg = data['base_resp']['status_msg']
                self._handle_error(code, msg)

-            # final chunk
-            if data['reply'] or data.get('usage'):
+            if data['reply'] or 'usage' in data and data['usage']:
                total_tokens = data['usage']['total_tokens']
-                minimax_message = MinimaxMessage(
+                message =  MinimaxMessage(
                    role=MinimaxMessage.Role.ASSISTANT.value,
                    content=''
                )
-                minimax_message.usage = {
+                message.usage = {
                    'prompt_tokens': 0,
                    'completion_tokens': total_tokens,
                    'total_tokens': total_tokens
                }
-                minimax_message.stop_reason = data['choices'][0]['finish_reason']
+                message.stop_reason = data['choices'][0]['finish_reason']

-                choices = data.get('choices', [])
-                if len(choices) > 0:
-                    for choice in choices:
-                        message = choice['messages'][0]
-                        # append function_call message
-                        if 'function_call' in message:
-                            function_call_message = MinimaxMessage(content='', role=MinimaxMessage.Role.ASSISTANT.value)
-                            function_call_message.function_call = message['function_call']
-                            yield function_call_message
+                if function_call_storage:
+                    function_call_message = MinimaxMessage(content='', role=MinimaxMessage.Role.ASSISTANT.value)
+                    function_call_message.function_call = function_call_storage
+                    yield function_call_message

-                yield minimax_message
+                yield message
                return

-            # partial chunk
            choices = data.get('choices', [])
            if len(choices) == 0:
                continue

            for choice in choices:
                message = choice['messages'][0]
-                # append text message
+
+                if 'function_call' in message:
+                    if not function_call_storage:
+                        function_call_storage = message['function_call']
+                        if 'arguments' not in function_call_storage or not function_call_storage['arguments']:
+                            function_call_storage['arguments'] = ''
+                            continue
+                    else:
+                        function_call_storage['arguments'] += message['function_call']['arguments']
+                        continue
+                else:
+                    if function_call_storage:
+                        message['function_call'] = function_call_storage
+                        function_call_storage = None
+                
+                minimax_message = MinimaxMessage(content='', role=MinimaxMessage.Role.ASSISTANT.value)
+
+                if 'function_call' in message:
+                    minimax_message.function_call = message['function_call']
+
                if 'text' in message:
-                    minimax_message = MinimaxMessage(content=message['text'], role=MinimaxMessage.Role.ASSISTANT.value)
-                    yield minimax_message
+                    minimax_message.content = message['text']
+
+                yield minimax_message
--- a/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/nvidia/llm/_position.yaml
@@ -1,11 +1,7 @@
 - google/gemma-7b
 - google/codegemma-7b
- google/recurrentgemma-2b
 - meta/llama2-70b
 - meta/llama3-8b-instruct
 - meta/llama3-70b-instruct
- mistralai/mistral-large
 - mistralai/mixtral-8x7b-instruct-v0.1
- mistralai/mixtral-8x22b-instruct-v0.1
 - fuyu-8b
- snowflake/arctic
--- a/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml
+++ b/api/core/model_runtime/model_providers/nvidia/llm/arctic.yaml
@@ -1,36 +0,0 @@
-model: snowflake/arctic
-label:
-  zh_Hans: snowflake/arctic
-  en_US: snowflake/arctic
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 4000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
--- a/api/core/model_runtime/model_providers/nvidia/llm/llm.py
+++ b/api/core/model_runtime/model_providers/nvidia/llm/llm.py
@@ -22,16 +22,12 @@ from core.model_runtime.utils import helper
 class NVIDIALargeLanguageModel(OAIAPICompatLargeLanguageModel):
    MODEL_SUFFIX_MAP = {
        'fuyu-8b': 'vlm/adept/fuyu-8b',
-        'mistralai/mistral-large': '',
        'mistralai/mixtral-8x7b-instruct-v0.1': '',
-        'mistralai/mixtral-8x22b-instruct-v0.1': '',
        'google/gemma-7b': '',
        'google/codegemma-7b': '',
-        'snowflake/arctic':'',
        'meta/llama2-70b': '',
        'meta/llama3-8b-instruct': '',
-        'meta/llama3-70b-instruct': '',
-        'google/recurrentgemma-2b': ''
+        'meta/llama3-70b-instruct': ''
        
    }

--- a/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml
+++ b/api/core/model_runtime/model_providers/nvidia/llm/mistral-large.yaml
@@ -1,36 +0,0 @@
-model: mistralai/mistral-large
-label:
-  zh_Hans: mistralai/mistral-large
-  en_US: mistralai/mistral-large
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 32000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
--- a/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml
+++ b/api/core/model_runtime/model_providers/nvidia/llm/mixtral-8x22b-instruct-v0.1.yaml
@@ -1,36 +0,0 @@
-model: mistralai/mixtral-8x22b-instruct-v0.1
-label:
-  zh_Hans: mistralai/mixtral-8x22b-instruct-v0.1
-  en_US: mistralai/mixtral-8x22b-instruct-v0.1
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 64000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.5
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 1
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: frequency_penalty
-    use_template: frequency_penalty
-    min: -2
-    max: 2
-    default: 0
-  - name: presence_penalty
-    use_template: presence_penalty
-    min: -2
-    max: 2
-    default: 0
--- a/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml
+++ b/api/core/model_runtime/model_providers/nvidia/llm/recurrentgemma-2b.yaml
@@ -1,37 +0,0 @@
-model: google/recurrentgemma-2b
-label:
-  zh_Hans: google/recurrentgemma-2b
-  en_US: google/recurrentgemma-2b
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 2048
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0
-    max: 1
-    default: 0.2
-  - name: top_p
-    use_template: top_p
-    min: 0
-    max: 1
-    default: 0.7
-  - name: max_tokens
-    use_template: max_tokens
-    min: 1
-    max: 1024
-    default: 1024
-  - name: random_seed
-    type: int
-    help:
-      en_US: The seed to use for random sampling. If set, different calls will generate deterministic results.
-      zh_Hans: 当开启随机数种子以后，你可以通过指定一个固定的种子来使得回答结果更加稳定
-    label:
-      en_US: Seed
-      zh_Hans: 种子
-    default: 0
-    min: 0
-    max: 2147483647
--- a/api/core/model_runtime/model_providers/ollama/llm/llm.py
+++ b/api/core/model_runtime/model_providers/ollama/llm/llm.py
@@ -451,7 +451,7 @@ class OllamaLargeLanguageModel(LargeLanguageModel):
                                          "more creatively. (Default: 0.8)"),
                    default=0.1,
                    min=0,
-                    max=1
+                    max=2
                ),
                ParameterRule(
                    name=DefaultParameterName.TOP_P.value,
--- a/api/core/model_runtime/model_providers/openai/_common.py
+++ b/api/core/model_runtime/model_providers/openai/_common.py
@@ -25,7 +25,7 @@ class _CommonOpenAI:
            "max_retries": 1,
        }

-        if credentials.get('openai_api_base'):
+        if 'openai_api_base' in credentials and credentials['openai_api_base']:
            credentials['openai_api_base'] = credentials['openai_api_base'].rstrip('/')
            credentials_kwargs['base_url'] = credentials['openai_api_base'] + '/v1'

--- a/api/core/model_runtime/model_providers/openai/llm/_position.yaml
+++ b/api/core/model_runtime/model_providers/openai/llm/_position.yaml
@@ -1,6 +1,4 @@
 - gpt-4
- gpt-4o
- gpt-4o-2024-05-13
 - gpt-4-turbo
 - gpt-4-turbo-2024-04-09
 - gpt-4-turbo-preview
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
jyong	bd40d25bc6	add tool resource	2024-05-10 18:08:49 +08:00
jyong	919c45b639	add tool resource	2024-05-10 16:50:19 +08:00
jyong	95fae0438d	add tool resource	2024-05-09 18:24:51 +08:00