Merge pull request #5238 from open-webui/dev

0.3.20

.dockerignore

@@ -10,7 +10,8 @@ node_modules
 vite.config.js.timestamp-*
 vite.config.ts.timestamp-*
 __pycache__
-.env
+.idea
+venv
 _old
 uploads
 .ipynb_checkpoints

.env.example

@@ -10,7 +10,4 @@ OPENAI_API_KEY=''
 # DO NOT TRACK
 SCARF_NO_ANALYTICS=true
 DO_NOT_TRACK=true
-
-# Use locally bundled version of the LiteLLM cost map json
-# to avoid repetitive startup connections
-LITELLM_LOCAL_MODEL_COST_MAP="True"
+ANONYMIZED_TELEMETRY=false

.eslintrc.cjs

@@ -4,6 +4,7 @@ module.exports = {
 		'eslint:recommended',
 		'plugin:@typescript-eslint/recommended',
 		'plugin:svelte/recommended',
+		'plugin:cypress/recommended',
 		'prettier'
 	],
 	parser: '@typescript-eslint/parser',

.github/ISSUE_TEMPLATE/bug_report.md

@@ -8,36 +8,43 @@ assignees: ''
 
 # Bug Report
 
-## Description
+## Installation Method
 
-**Bug Summary:**
-[Provide a brief but clear summary of the bug]
-
-**Steps to Reproduce:**
-[Outline the steps to reproduce the bug. Be as detailed as possible.]
-
-**Expected Behavior:**
-[Describe what you expected to happen.]
-
-**Actual Behavior:**
-[Describe what actually happened.]
+[Describe the method you used to install the project, e.g., git clone, Docker, pip, etc.]
 
 ## Environment
 
-- **Open WebUI Version:** [e.g., 0.1.120]
-- **Ollama (if applicable):** [e.g., 0.1.30, 0.1.32-rc1]
+- **Open WebUI Version:** [e.g., v0.3.11]
+- **Ollama (if applicable):** [e.g., v0.2.0, v0.1.32-rc1]
 
 - **Operating System:** [e.g., Windows 10, macOS Big Sur, Ubuntu 20.04]
 - **Browser (if applicable):** [e.g., Chrome 100.0, Firefox 98.0]
 
-## Reproduction Details
-
 **Confirmation:**
 
 - [ ] I have read and followed all the instructions provided in the README.md.
 - [ ] I am on the latest version of both Open WebUI and Ollama.
 - [ ] I have included the browser console logs.
 - [ ] I have included the Docker container logs.
+- [ ] I have provided the exact steps to reproduce the bug in the "Steps to Reproduce" section below.
+
+## Expected Behavior:
+
+[Describe what you expected to happen.]
+
+## Actual Behavior:
+
+[Describe what actually happened.]
+
+## Description
+
+**Bug Summary:**
+[Provide a brief but clear summary of the bug]
+
+## Reproduction Details
+
+**Steps to Reproduce:**
+[Outline the steps to reproduce the bug. Be as detailed as possible.]
 
 ## Logs and Screenshots
 
@@ -47,13 +54,9 @@ assignees: ''
 **Docker Container Logs:**
 [Include relevant Docker container logs, if applicable]
 
-**Screenshots (if applicable):**
+**Screenshots/Screen Recordings (if applicable):**
 [Attach any relevant screenshots to help illustrate the issue]
 
-## Installation Method
-
-[Describe the method you used to install the project, e.g., manual installation, Docker, package manager, etc.]
-
 ## Additional Information
 
 [Include any additional details that may help in understanding and reproducing the issue. This could include specific configurations, error messages, or anything else relevant to the bug.]

.github/dependabot.yml

@@ -0,0 +1,12 @@
+version: 2
+updates:
+  - package-ecosystem: pip
+    directory: '/backend'
+    schedule:
+      interval: monthly
+    target-branch: 'dev'
+  - package-ecosystem: 'github-actions'
+    directory: '/'
+    schedule:
+      # Check for updates to GitHub Actions every week
+      interval: monthly

.github/pull_request_template.md

@@ -1,32 +1,72 @@
-## Pull Request Checklist
+# Pull Request Checklist
 
-- [ ] **Description:** Briefly describe the changes in this pull request.
+### Note to first-time contributors: Please open a discussion post in [Discussions](https://github.com/open-webui/open-webui/discussions) and describe your changes before submitting a pull request.
+
+**Before submitting, make sure you've checked the following:**
+
+- [ ] **Target branch:** Please verify that the pull request targets the `dev` branch.
+- [ ] **Description:** Provide a concise description of the changes made in this pull request.
 - [ ] **Changelog:** Ensure a changelog entry following the format of [Keep a Changelog](https://keepachangelog.com/) is added at the bottom of the PR description.
-- [ ] **Documentation:** Have you updated relevant documentation?
+- [ ] **Documentation:** Have you updated relevant documentation [Open WebUI Docs](https://github.com/open-webui/docs), or other documentation sources?
 - [ ] **Dependencies:** Are there any new dependencies? Have you updated the dependency versions in the documentation?
+- [ ] **Testing:** Have you written and run sufficient tests for validating the changes?
+- [ ] **Code review:** Have you performed a self-review of your code, addressing any coding standard issues and ensuring adherence to the project's coding standards?
+- [ ] **Prefix:** To cleary categorize this pull request, prefix the pull request title, using one of the following:
+  - **BREAKING CHANGE**: Significant changes that may affect compatibility
+  - **build**: Changes that affect the build system or external dependencies
+  - **ci**: Changes to our continuous integration processes or workflows
+  - **chore**: Refactor, cleanup, or other non-functional code changes
+  - **docs**: Documentation update or addition
+  - **feat**: Introduces a new feature or enhancement to the codebase
+  - **fix**: Bug fix or error correction
+  - **i18n**: Internationalization or localization changes
+  - **perf**: Performance improvement
+  - **refactor**: Code restructuring for better maintainability, readability, or scalability
+  - **style**: Changes that do not affect the meaning of the code (white-space, formatting, missing semi-colons, etc.)
+  - **test**: Adding missing tests or correcting existing tests
+  - **WIP**: Work in progress, a temporary label for incomplete or ongoing work
 
----
+# Changelog Entry
 
-## Description
+### Description
 
-[Insert a brief description of the changes made in this pull request]
-
----
-
-### Changelog Entry
+- [Concisely describe the changes made in this pull request, including any relevant motivation and impact (e.g., fixing a bug, adding a feature, or improving performance)]
 
 ### Added
 
-- [List any new features or additions]
-
-### Fixed
-
-- [List any fixes or corrections]
+- [List any new features, functionalities, or additions]
 
 ### Changed
 
-- [List any changes or updates]
+- [List any changes, updates, refactorings, or optimizations]
+
+### Deprecated
+
+- [List any deprecated functionality or features that have been removed]
 
 ### Removed
 
-- [List any removed features or files]
+- [List any removed features, files, or functionalities]
+
+### Fixed
+
+- [List any fixes, corrections, or bug fixes]
+
+### Security
+
+- [List any new or updated security-related changes, including vulnerability fixes]
+
+### Breaking Changes
+
+- **BREAKING CHANGE**: [List any breaking changes affecting compatibility or functionality]
+
+---
+
+### Additional Information
+
+- [Insert any additional context, notes, or explanations for the changes]
+  - [Reference any related issues, commits, or other relevant information]
+
+### Screenshots or Videos
+
+- [Attach any relevant screenshots or videos demonstrating the changes]

.github/workflows/build-release.yml

@@ -10,61 +10,63 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-    - name: Checkout repository
-      uses: actions/checkout@v2
+      - name: Checkout repository
+        uses: actions/checkout@v4
 
-    - name: Check for changes in package.json
-      run: |
-        git diff --cached --diff-filter=d package.json || {
-          echo "No changes to package.json"
-          exit 1
-        }
-    
-    - name: Get version number from package.json
-      id: get_version
-      run: |
-        VERSION=$(jq -r '.version' package.json)
-        echo "::set-output name=version::$VERSION"
+      - name: Check for changes in package.json
+        run: |
+          git diff --cached --diff-filter=d package.json || {
+            echo "No changes to package.json"
+            exit 1
+          }
 
-    - name: Extract latest CHANGELOG entry
-      id: changelog
-      run: |
-        CHANGELOG_CONTENT=$(awk 'BEGIN {print_section=0;} /^## \[/ {if (print_section == 0) {print_section=1;} else {exit;}} print_section {print;}' CHANGELOG.md)
-        CHANGELOG_ESCAPED=$(echo "$CHANGELOG_CONTENT" | sed ':a;N;$!ba;s/\n/%0A/g')
-        echo "Extracted latest release notes from CHANGELOG.md:" 
-        echo -e "$CHANGELOG_CONTENT" 
-        echo "::set-output name=content::$CHANGELOG_ESCAPED"
+      - name: Get version number from package.json
+        id: get_version
+        run: |
+          VERSION=$(jq -r '.version' package.json)
+          echo "::set-output name=version::$VERSION"
 
-    - name: Create GitHub release
-      uses: actions/github-script@v5
-      with:
-        github-token: ${{ secrets.GITHUB_TOKEN }}
-        script: |
-          const changelog = `${{ steps.changelog.outputs.content }}`;
-          const release = await github.rest.repos.createRelease({
-            owner: context.repo.owner,
-            repo: context.repo.repo,
-            tag_name: `v${{ steps.get_version.outputs.version }}`,
-            name: `v${{ steps.get_version.outputs.version }}`,
-            body: changelog,
-          })
-          console.log(`Created release ${release.data.html_url}`)
+      - name: Extract latest CHANGELOG entry
+        id: changelog
+        run: |
+          CHANGELOG_CONTENT=$(awk 'BEGIN {print_section=0;} /^## \[/ {if (print_section == 0) {print_section=1;} else {exit;}} print_section {print;}' CHANGELOG.md)
+          CHANGELOG_ESCAPED=$(echo "$CHANGELOG_CONTENT" | sed ':a;N;$!ba;s/\n/%0A/g')
+          echo "Extracted latest release notes from CHANGELOG.md:" 
+          echo -e "$CHANGELOG_CONTENT" 
+          echo "::set-output name=content::$CHANGELOG_ESCAPED"
 
-    - name: Upload package to GitHub release
-      uses: actions/upload-artifact@v3
-      with:
-        name: package
-        path: .
-      env:
-        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Create GitHub release
+        uses: actions/github-script@v7
+        with:
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          script: |
+            const changelog = `${{ steps.changelog.outputs.content }}`;
+            const release = await github.rest.repos.createRelease({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              tag_name: `v${{ steps.get_version.outputs.version }}`,
+              name: `v${{ steps.get_version.outputs.version }}`,
+              body: changelog,
+            })
+            console.log(`Created release ${release.data.html_url}`)
 
-    - name: Trigger Docker build workflow
-      uses: actions/github-script@v7
-      with:
-        script: |
-          github.rest.actions.createWorkflowDispatch({
-            owner: context.repo.owner,
-            repo: context.repo.repo,
-            workflow_id: 'docker-build.yaml',
-            ref: 'v${{ steps.get_version.outputs.version }}',
-          })
+      - name: Upload package to GitHub release
+        uses: actions/upload-artifact@v4
+        with:
+          name: package
+          path: |
+            .
+            !.git
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Trigger Docker build workflow
+        uses: actions/github-script@v7
+        with:
+          script: |
+            github.rest.actions.createWorkflowDispatch({
+              owner: context.repo.owner,
+              repo: context.repo.repo,
+              workflow_id: 'docker-build.yaml',
+              ref: 'v${{ steps.get_version.outputs.version }}',
+            })

.github/workflows/deploy-to-hf-spaces.yml

@@ -0,0 +1,59 @@
+name: Deploy to HuggingFace Spaces
+
+on:
+  push:
+    branches:
+      - dev
+      - main
+  workflow_dispatch:
+
+jobs:
+  check-secret:
+    runs-on: ubuntu-latest
+    outputs:
+      token-set: ${{ steps.check-key.outputs.defined }}
+    steps:
+      - id: check-key
+        env:
+          HF_TOKEN: ${{ secrets.HF_TOKEN }}
+        if: "${{ env.HF_TOKEN != '' }}"
+        run: echo "defined=true" >> $GITHUB_OUTPUT
+
+  deploy:
+    runs-on: ubuntu-latest
+    needs: [check-secret]
+    if: needs.check-secret.outputs.token-set == 'true'
+    env:
+      HF_TOKEN: ${{ secrets.HF_TOKEN }}
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Remove git history
+        run: rm -rf .git
+
+      - name: Prepend YAML front matter to README.md
+        run: |
+          echo "---" > temp_readme.md
+          echo "title: Open WebUI" >> temp_readme.md
+          echo "emoji: 🐳" >> temp_readme.md
+          echo "colorFrom: purple" >> temp_readme.md
+          echo "colorTo: gray" >> temp_readme.md
+          echo "sdk: docker" >> temp_readme.md
+          echo "app_port: 8080" >> temp_readme.md
+          echo "---" >> temp_readme.md
+          cat README.md >> temp_readme.md
+          mv temp_readme.md README.md
+
+      - name: Configure git
+        run: |
+          git config --global user.email "41898282+github-actions[bot]@users.noreply.github.com"
+          git config --global user.name "github-actions[bot]"
+      - name: Set up Git and push to Space
+        run: |
+          git init --initial-branch=main
+          git lfs track "*.ttf"
+          rm demo.gif
+          git add .
+          git commit -m "GitHub deploy: ${{ github.sha }}"
+          git push --force https://open-webui:${HF_TOKEN}@huggingface.co/spaces/open-webui/open-webui main

.github/workflows/docker-build.yaml

@@ -11,8 +11,6 @@ on:
 
 env:
   REGISTRY: ghcr.io
-  IMAGE_NAME: ${{ github.repository }}
-  FULL_IMAGE_NAME: ghcr.io/${{ github.repository }}
 
 jobs:
   build-main-image:
@@ -28,6 +26,15 @@ jobs:
           - linux/arm64
 
     steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
       - name: Prepare
         run: |
           platform=${{ matrix.platform }}
@@ -63,6 +70,18 @@ jobs:
           flavor: |
             latest=${{ github.ref == 'refs/heads/main' }}
 
+      - name: Extract metadata for Docker cache
+        id: cache-meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FULL_IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            ${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }}
+          flavor: |
+            prefix=cache-${{ matrix.platform }}-
+            latest=false
+
       - name: Build Docker image (latest)
         uses: docker/build-push-action@v5
         id: build
@@ -72,8 +91,10 @@ jobs:
           platforms: ${{ matrix.platform }}
           labels: ${{ steps.meta.outputs.labels }}
           outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
+          cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }}
+          cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max
+          build-args: |
+            BUILD_HASH=${{ github.sha }}
 
       - name: Export digest
         run: |
@@ -102,6 +123,15 @@ jobs:
           - linux/arm64
 
     steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
       - name: Prepare
         run: |
           platform=${{ matrix.platform }}
@@ -123,7 +153,7 @@ jobs:
           username: ${{ github.actor }}
           password: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Extract metadata for Docker images (default latest tag)
+      - name: Extract metadata for Docker images (cuda tag)
         id: meta
         uses: docker/metadata-action@v5
         with:
@@ -139,6 +169,18 @@ jobs:
             latest=${{ github.ref == 'refs/heads/main' }}
             suffix=-cuda,onlatest=true
 
+      - name: Extract metadata for Docker cache
+        id: cache-meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FULL_IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            ${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }}
+          flavor: |
+            prefix=cache-cuda-${{ matrix.platform }}-
+            latest=false
+
       - name: Build Docker image (cuda)
         uses: docker/build-push-action@v5
         id: build
@@ -148,9 +190,11 @@ jobs:
           platforms: ${{ matrix.platform }}
           labels: ${{ steps.meta.outputs.labels }}
           outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-          build-args: USE_CUDA=true
+          cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }}
+          cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max
+          build-args: |
+            BUILD_HASH=${{ github.sha }}
+            USE_CUDA=true
 
       - name: Export digest
         run: |
@@ -179,6 +223,15 @@ jobs:
           - linux/arm64
 
     steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
       - name: Prepare
         run: |
           platform=${{ matrix.platform }}
@@ -216,6 +269,18 @@ jobs:
             latest=${{ github.ref == 'refs/heads/main' }}
             suffix=-ollama,onlatest=true
 
+      - name: Extract metadata for Docker cache
+        id: cache-meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.FULL_IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            ${{ github.ref_type == 'tag' && 'type=raw,value=main' || '' }}
+          flavor: |
+            prefix=cache-ollama-${{ matrix.platform }}-
+            latest=false
+
       - name: Build Docker image (ollama)
         uses: docker/build-push-action@v5
         id: build
@@ -225,9 +290,11 @@ jobs:
           platforms: ${{ matrix.platform }}
           labels: ${{ steps.meta.outputs.labels }}
           outputs: type=image,name=${{ env.FULL_IMAGE_NAME }},push-by-digest=true,name-canonical=true,push=true
-          cache-from: type=gha
-          cache-to: type=gha,mode=max
-          build-args: USE_OLLAMA=true
+          cache-from: type=registry,ref=${{ steps.cache-meta.outputs.tags }}
+          cache-to: type=registry,ref=${{ steps.cache-meta.outputs.tags }},mode=max
+          build-args: |
+            BUILD_HASH=${{ github.sha }}
+            USE_OLLAMA=true
 
       - name: Export digest
         run: |
@@ -245,8 +312,17 @@ jobs:
 
   merge-main-images:
     runs-on: ubuntu-latest
-    needs: [ build-main-image ]
+    needs: [build-main-image]
     steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
       - name: Download digests
         uses: actions/download-artifact@v4
         with:
@@ -288,11 +364,19 @@ jobs:
         run: |
           docker buildx imagetools inspect ${{ env.FULL_IMAGE_NAME }}:${{ steps.meta.outputs.version }}
 
-
   merge-cuda-images:
     runs-on: ubuntu-latest
-    needs: [ build-cuda-image ]
+    needs: [build-cuda-image]
     steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
       - name: Download digests
         uses: actions/download-artifact@v4
         with:
@@ -338,8 +422,17 @@ jobs:
 
   merge-ollama-images:
     runs-on: ubuntu-latest
-    needs: [ build-ollama-image ]
+    needs: [build-ollama-image]
     steps:
+      # GitHub Packages requires the entire repository name to be in lowercase
+      # although the repository owner has a lowercase username, this prevents some people from running actions after forking
+      - name: Set repository and image name to lowercase
+        run: |
+          echo "IMAGE_NAME=${IMAGE_NAME,,}" >>${GITHUB_ENV}
+          echo "FULL_IMAGE_NAME=ghcr.io/${IMAGE_NAME,,}" >>${GITHUB_ENV}
+        env:
+          IMAGE_NAME: '${{ github.repository }}'
+
       - name: Download digests
         uses: actions/download-artifact@v4
         with:

.github/workflows/format-backend.yaml

@@ -23,7 +23,7 @@ jobs:
       - uses: actions/checkout@v4
 
       - name: Set up Python
-        uses: actions/setup-python@v2
+        uses: actions/setup-python@v4
         with:
           python-version: ${{ matrix.python-version }}
 

.github/workflows/format-build-frontend.yaml

@@ -19,7 +19,7 @@ jobs:
         uses: actions/checkout@v4
 
       - name: Setup Node.js
-        uses: actions/setup-node@v3
+        uses: actions/setup-node@v4
         with:
           node-version: '20' # Or specify any other version you want to use
 
@@ -29,8 +29,29 @@ jobs:
       - name: Format Frontend
         run: npm run format
 
+      - name: Run i18next
+        run: npm run i18n:parse
+
       - name: Check for Changes After Format
         run: git diff --exit-code
 
       - name: Build Frontend
         run: npm run build
+
+  test-frontend:
+    name: 'Frontend Unit Tests'
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+
+      - name: Setup Node.js
+        uses: actions/setup-node@v4
+        with:
+          node-version: '20'
+
+      - name: Install Dependencies
+        run: npm ci
+
+      - name: Run vitest
+        run: npm run test:frontend

.github/workflows/integration-test.yml

@@ -0,0 +1,250 @@
+name: Integration Test
+
+on:
+  push:
+    branches:
+      - main
+      - dev
+  pull_request:
+    branches:
+      - main
+      - dev
+
+jobs:
+  cypress-run:
+    name: Run Cypress Integration Tests
+    runs-on: ubuntu-latest
+    steps:
+      - name: Maximize build space
+        uses: AdityaGarg8/remove-unwanted-software@v4.1
+        with:
+          remove-android: 'true'
+          remove-haskell: 'true'
+          remove-codeql: 'true'
+
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+
+      - name: Build and run Compose Stack
+        run: |
+          docker compose \
+            --file docker-compose.yaml \
+            --file docker-compose.api.yaml \
+            --file docker-compose.a1111-test.yaml \
+            up --detach --build
+
+      - name: Delete Docker build cache
+        run: |
+          docker builder prune --all --force
+
+      - name: Wait for Ollama to be up
+        timeout-minutes: 5
+        run: |
+          until curl --output /dev/null --silent --fail http://localhost:11434; do
+            printf '.'
+            sleep 1
+          done
+          echo "Service is up!"
+
+      - name: Preload Ollama model
+        run: |
+          docker exec ollama ollama pull qwen:0.5b-chat-v1.5-q2_K
+
+      - name: Cypress run
+        uses: cypress-io/github-action@v6
+        with:
+          browser: chrome
+          wait-on: 'http://localhost:3000'
+          config: baseUrl=http://localhost:3000
+
+      - uses: actions/upload-artifact@v4
+        if: always()
+        name: Upload Cypress videos
+        with:
+          name: cypress-videos
+          path: cypress/videos
+          if-no-files-found: ignore
+
+      - name: Extract Compose logs
+        if: always()
+        run: |
+          docker compose logs > compose-logs.txt
+
+      - uses: actions/upload-artifact@v4
+        if: always()
+        name: Upload Compose logs
+        with:
+          name: compose-logs
+          path: compose-logs.txt
+          if-no-files-found: ignore
+
+  # pytest:
+  #   name: Run Backend Tests
+  #   runs-on: ubuntu-latest
+  #   steps:
+  #     - uses: actions/checkout@v4
+
+  #     - name: Set up Python
+  #       uses: actions/setup-python@v4
+  #       with:
+  #         python-version: ${{ matrix.python-version }}
+
+  #     - name: Install dependencies
+  #       run: |
+  #         python -m pip install --upgrade pip
+  #         pip install -r backend/requirements.txt
+
+  #     - name: pytest run
+  #       run: |
+  #         ls -al
+  #         cd backend
+  #         PYTHONPATH=. pytest . -o log_cli=true -o log_cli_level=INFO
+
+  migration_test:
+    name: Run Migration Tests
+    runs-on: ubuntu-latest
+    services:
+      postgres:
+        image: postgres
+        env:
+          POSTGRES_PASSWORD: postgres
+        options: >-
+          --health-cmd pg_isready
+          --health-interval 10s
+          --health-timeout 5s
+          --health-retries 5
+        ports:
+          - 5432:5432
+    #      mysql:
+    #        image: mysql
+    #        env:
+    #          MYSQL_ROOT_PASSWORD: mysql
+    #          MYSQL_DATABASE: mysql
+    #        options: >-
+    #          --health-cmd "mysqladmin ping -h localhost"
+    #          --health-interval 10s
+    #          --health-timeout 5s
+    #          --health-retries 5
+    #        ports:
+    #          - 3306:3306
+    steps:
+      - name: Checkout Repository
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Set up uv
+        uses: yezz123/setup-uv@v4
+        with:
+          uv-venv: venv
+
+      - name: Activate virtualenv
+        run: |
+          . venv/bin/activate
+          echo PATH=$PATH >> $GITHUB_ENV
+
+      - name: Install dependencies
+        run: |
+          uv pip install -r backend/requirements.txt
+
+      - name: Test backend with SQLite
+        id: sqlite
+        env:
+          WEBUI_SECRET_KEY: secret-key
+          GLOBAL_LOG_LEVEL: debug
+        run: |
+          cd backend
+          uvicorn open_webui.main:app --port "8080" --forwarded-allow-ips '*' &
+          UVICORN_PID=$!
+          # Wait up to 40 seconds for the server to start
+          for i in {1..40}; do
+              curl -s http://localhost:8080/api/config > /dev/null && break
+              sleep 1
+              if [ $i -eq 40 ]; then
+                  echo "Server failed to start"
+                  kill -9 $UVICORN_PID
+                  exit 1
+              fi
+          done
+          # Check that the server is still running after 5 seconds
+          sleep 5
+          if ! kill -0 $UVICORN_PID; then
+              echo "Server has stopped"
+              exit 1
+          fi
+
+      - name: Test backend with Postgres
+        if: success() || steps.sqlite.conclusion == 'failure'
+        env:
+          WEBUI_SECRET_KEY: secret-key
+          GLOBAL_LOG_LEVEL: debug
+          DATABASE_URL: postgresql://postgres:postgres@localhost:5432/postgres
+        run: |
+          cd backend
+          uvicorn open_webui.main:app --port "8081" --forwarded-allow-ips '*' &
+          UVICORN_PID=$!
+          # Wait up to 20 seconds for the server to start
+          for i in {1..20}; do
+              curl -s http://localhost:8081/api/config > /dev/null && break
+              sleep 1
+              if [ $i -eq 20 ]; then
+                  echo "Server failed to start"
+                  kill -9 $UVICORN_PID
+                  exit 1
+              fi
+          done
+          # Check that the server is still running after 5 seconds
+          sleep 5
+          if ! kill -0 $UVICORN_PID; then
+              echo "Server has stopped"
+              exit 1
+          fi
+
+          # Check that service will reconnect to postgres when connection will be closed
+          status_code=$(curl --write-out %{http_code} -s --output /dev/null http://localhost:8081/health/db)
+          if [[ "$status_code" -ne 200 ]] ; then
+            echo "Server has failed before postgres reconnect check"
+            exit 1
+          fi
+
+          echo "Terminating all connections to postgres..."
+          python -c "import os, psycopg2 as pg2; \
+            conn = pg2.connect(dsn=os.environ['DATABASE_URL'].replace('+pool', '')); \
+            cur = conn.cursor(); \
+            cur.execute('SELECT pg_terminate_backend(psa.pid) FROM pg_stat_activity psa WHERE datname = current_database() AND pid <> pg_backend_pid();')"
+
+          status_code=$(curl --write-out %{http_code} -s --output /dev/null http://localhost:8081/health/db)
+          if [[ "$status_code" -ne 200 ]] ; then
+            echo "Server has not reconnected to postgres after connection was closed: returned status $status_code"
+            exit 1
+          fi
+
+#      - name: Test backend with MySQL
+#        if: success() || steps.sqlite.conclusion == 'failure' || steps.postgres.conclusion == 'failure'
+#        env:
+#          WEBUI_SECRET_KEY: secret-key
+#          GLOBAL_LOG_LEVEL: debug
+#          DATABASE_URL: mysql://root:mysql@localhost:3306/mysql
+#        run: |
+#          cd backend
+#          uvicorn open_webui.main:app --port "8083" --forwarded-allow-ips '*' &
+#          UVICORN_PID=$!
+#          # Wait up to 20 seconds for the server to start
+#          for i in {1..20}; do
+#              curl -s http://localhost:8083/api/config > /dev/null && break
+#              sleep 1
+#              if [ $i -eq 20 ]; then
+#                  echo "Server failed to start"
+#                  kill -9 $UVICORN_PID
+#                  exit 1
+#              fi
+#          done
+#          # Check that the server is still running after 5 seconds
+#          sleep 5
+#          if ! kill -0 $UVICORN_PID; then
+#              echo "Server has stopped"
+#              exit 1
+#          fi

.github/workflows/release-pypi.yml

@@ -0,0 +1,32 @@
+name: Release to PyPI
+
+on:
+  push:
+    branches:
+      - main # or whatever branch you want to use
+      - pypi-release
+
+jobs:
+  release:
+    runs-on: ubuntu-latest
+    environment:
+      name: pypi
+      url: https://pypi.org/p/open-webui
+    permissions:
+      id-token: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 18
+      - uses: actions/setup-python@v5
+        with:
+          python-version: 3.11
+      - name: Build
+        run: |
+          python -m pip install --upgrade pip
+          pip install build
+          python -m build .
+      - name: Publish package distributions to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1

.gitignore

@@ -16,6 +16,10 @@ __pycache__/
 # C extensions
 *.so
 
+# Pyodide distribution
+static/pyodide/*
+!static/pyodide/pyodide-lock.json
+
 # Distribution / packaging
 .Python
 build/
@@ -297,4 +301,9 @@ dist
 .yarn/unplugged
 .yarn/build-state.yml
 .yarn/install-state.gz
-.pnp.*
+.pnp.*
+
+# cypress artifacts
+cypress/videos
+cypress/screenshots
+.vscode/settings.json

.prettierignore

@@ -1,3 +1,11 @@
+# Ignore files for PNPM, NPM and YARN
+pnpm-lock.yaml
+package-lock.json
+yarn.lock
+
+kubernetes/
+
+# Copy of .gitignore
 .DS_Store
 node_modules
 /build
@@ -6,11 +14,303 @@ node_modules
 .env
 .env.*
 !.env.example
+vite.config.js.timestamp-*
+vite.config.ts.timestamp-*
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
 
-# Ignore files for PNPM, NPM and YARN
-pnpm-lock.yaml
-package-lock.json
-yarn.lock
+# C extensions
+*.so
 
-# Ignore kubernetes files
-kubernetes
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/#use-with-ide
+.pdm.toml
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+.idea/
+
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+lerna-debug.log*
+.pnpm-debug.log*
+
+# Diagnostic reports (https://nodejs.org/api/report.html)
+report.[0-9]*.[0-9]*.[0-9]*.[0-9]*.json
+
+# Runtime data
+pids
+*.pid
+*.seed
+*.pid.lock
+
+# Directory for instrumented libs generated by jscoverage/JSCover
+lib-cov
+
+# Coverage directory used by tools like istanbul
+coverage
+*.lcov
+
+# nyc test coverage
+.nyc_output
+
+# Grunt intermediate storage (https://gruntjs.com/creating-plugins#storing-task-files)
+.grunt
+
+# Bower dependency directory (https://bower.io/)
+bower_components
+
+# node-waf configuration
+.lock-wscript
+
+# Compiled binary addons (https://nodejs.org/api/addons.html)
+build/Release
+
+# Dependency directories
+node_modules/
+jspm_packages/
+
+# Snowpack dependency directory (https://snowpack.dev/)
+web_modules/
+
+# TypeScript cache
+*.tsbuildinfo
+
+# Optional npm cache directory
+.npm
+
+# Optional eslint cache
+.eslintcache
+
+# Optional stylelint cache
+.stylelintcache
+
+# Microbundle cache
+.rpt2_cache/
+.rts2_cache_cjs/
+.rts2_cache_es/
+.rts2_cache_umd/
+
+# Optional REPL history
+.node_repl_history
+
+# Output of 'npm pack'
+*.tgz
+
+# Yarn Integrity file
+.yarn-integrity
+
+# dotenv environment variable files
+.env
+.env.development.local
+.env.test.local
+.env.production.local
+.env.local
+
+# parcel-bundler cache (https://parceljs.org/)
+.cache
+.parcel-cache
+
+# Next.js build output
+.next
+out
+
+# Nuxt.js build / generate output
+.nuxt
+dist
+
+# Gatsby files
+.cache/
+# Comment in the public line in if your project uses Gatsby and not Next.js
+# https://nextjs.org/blog/next-9-1#public-directory-support
+# public
+
+# vuepress build output
+.vuepress/dist
+
+# vuepress v2.x temp and cache directory
+.temp
+.cache
+
+# Docusaurus cache and generated files
+.docusaurus
+
+# Serverless directories
+.serverless/
+
+# FuseBox cache
+.fusebox/
+
+# DynamoDB Local files
+.dynamodb/
+
+# TernJS port file
+.tern-port
+
+# Stores VSCode versions used for testing VSCode extensions
+.vscode-test
+
+# yarn v2
+.yarn/cache
+.yarn/unplugged
+.yarn/build-state.yml
+.yarn/install-state.gz
+.pnp.*
+
+# cypress artifacts
+cypress/videos
+cypress/screenshots
+
+
+
+/static/*

CHANGELOG.md

@@ -5,6 +5,639 @@ All notable changes to this project will be documented in this file.
 The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/),
 and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
 
+## [0.3.20] - 2024-09-07
+
+### Added
+
+- **🌐 Translation Update**: Updated Catalan translations to improve user experience for Catalan speakers.
+
+### Fixed
+
+- **📄 PDF Download**: Resolved a configuration issue with fonts directory, ensuring PDFs are now downloaded with the correct formatting.
+- **🛠️ Installation of Tools & Functions Requirements**: Fixed a bug where necessary requirements for tools and functions were not properly installing.
+- **🔗 Inline Image Link Rendering**: Enabled rendering of images directly from links in chat.
+- **📞 Post-Call User Interface Cleanup**: Adjusted UI behavior to automatically close chat controls after a voice call ends, reducing screen clutter.
+- **🎙️ Microphone Deactivation Post-Call**: Addressed an issue where the microphone remained active after calls.
+- **✍️ Markdown Spacing Correction**: Corrected spacing in Markdown rendering, ensuring text appears neatly and as expected.
+- **🔄 Message Re-rendering**: Fixed an issue causing all response messages to re-render with each new message, now improving chat performance.
+
+### Changed
+
+- **🌐 Refined Web Search Integration**: Deprecated the Search Query Generation Prompt threshold; introduced a toggle button for "Enable Web Search Query Generation" allowing users to opt-in to using web search more judiciously.
+- **📝 Default Prompt Templates Update**: Emptied environment variable templates for search and title generation now default to the Open WebUI default prompt templates, simplifying configuration efforts.
+
+## [0.3.19] - 2024-09-05
+
+### Added
+
+- **🌐 Translation Update**: Improved Chinese translations.
+
+### Fixed
+
+- **📂 DATA_DIR Overriding**: Fixed an issue to avoid overriding DATA_DIR, preventing errors when directories are set identically, ensuring smoother operation and data management.
+- **🛠️ Frontmatter Extraction**: Fixed the extraction process for frontmatter in tools and functions.
+
+### Changed
+
+- **🎨 UI Styling**: Refined the user interface styling for enhanced visual coherence and user experience.
+
+## [0.3.18] - 2024-09-04
+
+### Added
+
+- **🛠️ Direct Database Execution for Tools & Functions**: Enhanced the execution of Python files for tools and functions, now directly loading from the database for a more streamlined backend process.
+
+### Fixed
+
+- **🔄 Automatic Rewrite of Import Statements in Tools & Functions**: Tool and function scripts that import 'utils', 'apps', 'main', 'config' will now automatically rename these with 'open_webui.', ensuring compatibility and consistency across different modules.
+- **🎨 Styling Adjustments**: Minor fixes in the visual styling to improve user experience and interface consistency.
+
+## [0.3.17] - 2024-09-04
+
+### Added
+
+- **🔄 Import/Export Configuration**: Users can now import and export webui configurations from admin settings > Database, simplifying setup replication across systems.
+- **🌍 Web Search via URL Parameter**: Added support for activating web search directly through URL by setting 'web-search=true'.
+- **🌐 SearchApi Integration**: Added support for SearchApi as an alternative web search provider, enhancing search capabilities within the platform.
+- **🔍 Literal Type Support in Tools**: Tools now support the Literal type.
+- **🌍 Updated Translations**: Improved translations for Chinese, Ukrainian, and Catalan.
+
+### Fixed
+
+- **🔧 Pip Install Issue**: Resolved the issue where pip install failed due to missing 'alembic.ini', ensuring smoother installation processes.
+- **🌃 Automatic Theme Update**: Fixed an issue where the color theme did not update dynamically with system changes.
+- **🛠️ User Agent in ComfyUI**: Added default headers in ComfyUI to fix access issues, improving reliability in network communications.
+- **🔄 Missing Chat Completion Response Headers**: Ensured proper return of proxied response headers during chat completion, improving API reliability.
+- **🔗 Websocket Connection Prioritization**: Modified socket.io configuration to prefer websockets and more reliably fallback to polling, enhancing connection stability.
+- **🎭 Accessibility Enhancements**: Added missing ARIA labels for buttons, improving accessibility for visually impaired users.
+- **⚖️ Advanced Parameter**: Fixed an issue ensuring that advanced parameters are correctly applied in all scenarios, ensuring consistent behavior of user-defined settings.
+
+### Changed
+
+- **🔁 Namespace Reorganization**: Reorganized all Python files under the 'open_webui' namespace to streamline the project structure and improve maintainability. Tools and functions importing from 'utils' should now use 'open_webui.utils'.
+- **🚧 Dependency Updates**: Updated several backend dependencies like 'aiohttp', 'authlib', 'duckduckgo-search', 'flask-cors', and 'langchain' to their latest versions, enhancing performance and security.
+
+## [0.3.16] - 2024-08-27
+
+### Added
+
+- **🚀 Config DB Migration**: Migrated configuration handling from config.json to the database, enabling high-availability setups and load balancing across multiple Open WebUI instances.
+- **🔗 Call Mode Activation via URL**: Added a 'call=true' URL search parameter enabling direct shortcuts to activate call mode, enhancing user interaction on mobile devices.
+- **✨ TTS Content Control**: Added functionality to control how message content is segmented for Text-to-Speech (TTS) generation requests, allowing for more flexible speech output options.
+- **😄 Show Knowledge Search Status**: Enhanced model usage transparency by displaying status when working with knowledge-augmented models, helping users understand the system's state during queries.
+- **👆 Click-to-Copy for Codespan**: Enhanced interactive experience in the WebUI by allowing users to click to copy content from code spans directly.
+- **🚫 API User Blocking via Model Filter**: Introduced the ability to block API users based on customized model filters, enhancing security and control over API access.
+- **🎬 Call Overlay Styling**: Adjusted call overlay styling on large screens to not cover the entire interface, but only the chat control area, for a more unobtrusive interaction experience.
+
+### Fixed
+
+- **🔧 LaTeX Rendering Issue**: Addressed an issue that affected the correct rendering of LaTeX.
+- **📁 File Leak Prevention**: Resolved the issue of uploaded files mistakenly being accessible across user chats.
+- **🔧 Pipe Functions with '**files**' Param**: Fixed issues with '**files**' parameter not functioning correctly in pipe functions.
+- **📝 Markdown Processing for RAG**: Fixed issues with processing Markdown in files.
+- **🚫 Duplicate System Prompts**: Fixed bugs causing system prompts to duplicate.
+
+### Changed
+
+- **🔋 Wakelock Permission**: Optimized the activation of wakelock to only engage during call mode, conserving device resources and improving battery performance during idle periods.
+- **🔍 Content-Type for Ollama Chats**: Added 'application/x-ndjson' content-type to '/api/chat' endpoint responses to match raw Ollama responses.
+- **✋ Disable Signups Conditionally**: Implemented conditional logic to disable sign-ups when 'ENABLE_LOGIN_FORM' is set to false.
+
+## [0.3.15] - 2024-08-21
+
+### Added
+
+- **🔗 Temporary Chat Activation**: Integrated a new URL parameter 'temporary-chat=true' to enable temporary chat sessions directly through the URL.
+- **🌄 ComfyUI Seed Node Support**: Introduced seed node support in ComfyUI for image generation, allowing users to specify node IDs for randomized seed assignment.
+
+### Fixed
+
+- **🛠️ Tools and Functions**: Resolved a critical issue where Tools and Functions were not properly functioning, restoring full capability and reliability to these essential features.
+- **🔘 Chat Action Button in Many Model Chat**: Fixed the malfunctioning of chat action buttons in many model chat environments, ensuring a smoother and more responsive user interaction.
+- **⏪ Many Model Chat Compatibility**: Restored backward compatibility for many model chats.
+
+## [0.3.14] - 2024-08-21
+
+### Added
+
+- **🛠️ Custom ComfyUI Workflow**: Deprecating several older environment variables, this enhancement introduces a new, customizable workflow for a more tailored user experience.
+- **🔀 Merge Responses in Many Model Chat**: Enhances the dialogue by merging responses from multiple models into a single, coherent reply, improving the interaction quality in many model chats.
+- **✅ Multiple Instances of Same Model in Chats**: Enhanced many model chat to support adding multiple instances of the same model.
+- **🔧 Quick Actions in Model Workspace**: Enhanced Shift key quick actions for hiding/unhiding and deleting models, facilitating a smoother workflow.
+- **🗨️ Markdown Rendering in User Messages**: User messages are now rendered in Markdown, enhancing readability and interaction.
+- **💬 Temporary Chat Feature**: Introduced a temporary chat feature, deprecating the old chat history setting to enhance user interaction flexibility.
+- **🖋️ User Message Editing**: Enhanced the user chat editing feature to allow saving changes without sending, providing more flexibility in message management.
+- **🛡️ Security Enhancements**: Various security improvements implemented across the platform to ensure safer user experiences.
+- **🌍 Updated Translations**: Enhanced translations for Chinese, Ukrainian, and Bahasa Malaysia, improving localization and user comprehension.
+
+### Fixed
+
+- **📑 Mermaid Rendering Issue**: Addressed issues with Mermaid chart rendering to ensure clean and clear visual data representation.
+- **🎭 PWA Icon Maskability**: Fixed the Progressive Web App icon to be maskable, ensuring proper display on various device home screens.
+- **🔀 Cloned Model Chat Freezing Issue**: Fixed a bug where cloning many model chats would cause freezing, enhancing stability and responsiveness.
+- **🔍 Generic Error Handling and Refinements**: Various minor fixes and refinements to address previously untracked issues, ensuring smoother operations.
+
+### Changed
+
+- **🖼️ Image Generation Refactor**: Overhauled image generation processes for improved efficiency and quality.
+- **🔨 Refactor Tool and Function Calling**: Refactored tool and function calling mechanisms for improved clarity and maintainability.
+- **🌐 Backend Library Updates**: Updated critical backend libraries including SQLAlchemy, uvicorn[standard], faster-whisper, bcrypt, and boto3 for enhanced performance and security.
+
+### Removed
+
+- **🚫 Deprecated ComfyUI Environment Variables**: Removed several outdated environment variables related to ComfyUI settings, simplifying configuration management.
+
+## [0.3.13] - 2024-08-14
+
+### Added
+
+- **🎨 Enhanced Markdown Rendering**: Significant improvements in rendering markdown, ensuring smooth and reliable display of LaTeX and Mermaid charts, enhancing user experience with more robust visual content.
+- **🔄 Auto-Install Tools & Functions Python Dependencies**: For 'Tools' and 'Functions', Open WebUI now automatically install extra python requirements specified in the frontmatter, streamlining setup processes and customization.
+- **🌀 OAuth Email Claim Customization**: Introduced an 'OAUTH_EMAIL_CLAIM' variable to allow customization of the default "email" claim within OAuth configurations, providing greater flexibility in authentication processes.
+- **📶 Websocket Reconnection**: Enhanced reliability with the capability to automatically reconnect when a websocket is closed, ensuring consistent and stable communication.
+- **🤳 Haptic Feedback on Support Devices**: Android devices now support haptic feedback for an immersive tactile experience during certain interactions.
+
+### Fixed
+
+- **🛠️ ComfyUI Performance Improvement**: Addressed an issue causing FastAPI to stall when ComfyUI image generation was active; now runs in a separate thread to prevent UI unresponsiveness.
+- **🔀 Session Handling**: Fixed an issue mandating session_id on client-side to ensure smoother session management and transitions.
+- **🖋️ Minor Bug Fixes and Format Corrections**: Various minor fixes including typo corrections, backend formatting improvements, and test amendments enhancing overall system stability and performance.
+
+### Changed
+
+- **🚀 Migration to SvelteKit 2**: Upgraded the underlying framework to SvelteKit version 2, offering enhanced speed, better code structure, and improved deployment capabilities.
+- **🧹 General Cleanup and Refactoring**: Performed broad cleanup and refactoring across the platform, improving code efficiency and maintaining high standards of code health.
+- **🚧 Integration Testing Improvements**: Modified how Cypress integration tests detect chat messages and updated sharing tests for better reliability and accuracy.
+- **📁 Standardized '.safetensors' File Extension**: Renamed the '.sft' file extension to '.safetensors' for ComfyUI workflows, standardizing file formats across the platform.
+
+### Removed
+
+- **🗑️ Deprecated Frontend Functions**: Removed frontend functions that were migrated to backend to declutter the codebase and reduce redundancy.
+
+## [0.3.12] - 2024-08-07
+
+### Added
+
+- **🔄 Sidebar Infinite Scroll**: Added an infinite scroll feature in the sidebar for more efficient chat navigation, reducing load times and enhancing user experience.
+- **🚀 Enhanced Markdown Rendering**: Support for rendering all code blocks and making images clickable for preview; codespan styling is also enhanced to improve readability and user interaction.
+- **🔒 Admin Shared Chat Visibility**: Admins no longer have default visibility over shared chats when ENABLE_ADMIN_CHAT_ACCESS is set to false, tightening security and privacy settings for users.
+- **🌍 Language Updates**: Added Malay (Bahasa Malaysia) translation and updated Catalan and Traditional Chinese translations to improve accessibility for more users.
+
+### Fixed
+
+- **📊 Markdown Rendering Issues**: Resolved issues with markdown rendering to ensure consistent and correct display across components.
+- **🛠️ Styling Issues**: Multiple fixes applied to styling throughout the application, improving the overall visual experience and interface consistency.
+- **🗃️ Modal Handling**: Fixed an issue where modals were not closing correctly in various model chat scenarios, enhancing usability and interface reliability.
+- **📄 Missing OpenAI Usage Information**: Resolved issues where usage statistics for OpenAI services were not being correctly displayed, ensuring users have access to crucial data for managing and monitoring their API consumption.
+- **🔧 Non-Streaming Support for Functions Plugin**: Fixed a functionality issue with the Functions plugin where non-streaming operations were not functioning as intended, restoring full capabilities for async and sync integration within the platform.
+- **🔄 Environment Variable Type Correction (COMFYUI_FLUX_FP8_CLIP)**: Corrected the data type of the 'COMFYUI_FLUX_FP8_CLIP' environment variable from string to boolean, ensuring environment settings apply correctly and enhance configuration management.
+
+### Changed
+
+- **🔧 Backend Dependency Updates**: Updated several backend dependencies such as boto3, pypdf, python-pptx, validators, and black, ensuring up-to-date security and performance optimizations.
+
+## [0.3.11] - 2024-08-02
+
+### Added
+
+- **📊 Model Information Display**: Added visuals for model selection, including images next to model names for more intuitive navigation.
+- **🗣 ElevenLabs Voice Adaptations**: Voice enhancements including support for ElevenLabs voice ID by name for personalized vocal interactions.
+- **⌨️ Arrow Keys Model Selection**: Users can now use arrow keys for quicker model selection, enhancing accessibility.
+- **🔍 Fuzzy Search in Model Selector**: Enhanced model selector with fuzzy search to locate models swiftly, including descriptions.
+- **🕹️ ComfyUI Flux Image Generation**: Added support for the new Flux image gen model; introduces environment controls like weight precision and CLIP model options in Settings.
+- **💾 Display File Size for Uploads**: Enhanced file interface now displays file size, preparing for upcoming upload restrictions.
+- **🎚️ Advanced Params "Min P"**: Added 'Min P' parameter in the advanced settings for customized model precision control.
+- **🔒 Enhanced OAuth**: Introduced custom redirect URI support for OAuth behind reverse proxies, enabling safer authentication processes.
+- **🖥 Enhanced Latex Rendering**: Adjustments made to latex rendering processes, now accurately detecting and presenting latex inputs from text.
+- **🌐 Internationalization**: Enhanced with new Romanian and updated Vietnamese and Ukrainian translations, helping broaden accessibility for international users.
+
+### Fixed
+
+- **🔧 Tags Handling in Document Upload**: Tags are now properly sent to the upload document handler, resolving issues with missing metadata.
+- **🖥️ Sensitive Input Fields**: Corrected browser misinterpretation of secure input fields, preventing misclassification as password fields.
+- **📂 Static Path Resolution in PDF Generation**: Fixed static paths that adjust dynamically to prevent issues across various environments.
+
+### Changed
+
+- **🎨 UI/UX Styling Enhancements**: Multiple minor styling updates for a cleaner and more intuitive user interface.
+- **🚧 Refactoring Various Components**: Numerous refactoring changes across styling, file handling, and function simplifications for clarity and performance.
+- **🎛️ User Valves Management**: Moved user valves from settings to direct chat controls for more user-friendly access during interactions.
+
+### Removed
+
+- **⚙️ Health Check Logging**: Removed verbose logging from the health checking processes to declutter logs and improve backend performance.
+
+## [0.3.10] - 2024-07-17
+
+### Fixed
+
+- **🔄 Improved File Upload**: Addressed the issue where file uploads lacked animation.
+- **💬 Chat Continuity**: Fixed a problem where existing chats were not functioning properly in some instances.
+- **🗂️ Chat File Reset**: Resolved the issue of chat files not resetting for new conversations, now ensuring a clean slate for each chat session.
+- **📁 Document Workspace Uploads**: Corrected the handling of document uploads in the workspace using the Files API.
+
+## [0.3.9] - 2024-07-17
+
+### Added
+
+- **📁 Files Chat Controls**: We've reverted to the old file handling behavior where uploaded files are always included. You can now manage files directly within the chat controls section, giving you the ability to remove files as needed.
+- **🔧 "Action" Function Support**: Introducing a new "Action" function to write custom buttons to the message toolbar. This feature enables more interactive messaging, with documentation coming soon.
+- **📜 Citations Handling**: For newly uploaded files in documents workspace, citations will now display the actual filename. Additionally, you can click on these filenames to open the file in a new tab for easier access.
+- **🛠️ Event Emitter and Call Updates**: Enhanced 'event_emitter' to allow message replacement and 'event_call' to support text input for Tools and Functions. Detailed documentation will be provided shortly.
+- **🎨 Styling Refactor**: Various styling updates for a cleaner and more cohesive user interface.
+- **🌐 Enhanced Translations**: Improved translations for Catalan, Ukrainian, and Brazilian Portuguese.
+
+### Fixed
+
+- **🔧 Chat Controls Priority**: Resolved an issue where Chat Controls values were being overridden by model information parameters. The priority is now Chat Controls, followed by Global Settings, then Model Settings.
+- **🪲 Debug Logs**: Fixed an issue where debug logs were not being logged properly.
+- **🔑 Automatic1111 Auth Key**: The auth key for Automatic1111 is no longer required.
+- **📝 Title Generation**: Ensured that the title generation runs only once, even when multiple models are in a chat.
+- **✅ Boolean Values in Params**: Added support for boolean values in parameters.
+- **🖼️ Files Overlay Styling**: Fixed the styling issue with the files overlay.
+
+### Changed
+
+- **⬆️ Dependency Updates**
+  - Upgraded 'pydantic' from version 2.7.1 to 2.8.2.
+  - Upgraded 'sqlalchemy' from version 2.0.30 to 2.0.31.
+  - Upgraded 'unstructured' from version 0.14.9 to 0.14.10.
+  - Upgraded 'chromadb' from version 0.5.3 to 0.5.4.
+
+## [0.3.8] - 2024-07-09
+
+### Added
+
+- **💬 Chat Controls**: Easily adjust parameters for each chat session, offering more precise control over your interactions.
+- **📌 Pinned Chats**: Support for pinned chats, allowing you to keep important conversations easily accessible.
+- **📄 Apache Tika Integration**: Added support for using Apache Tika as a document loader, enhancing document processing capabilities.
+- **🛠️ Custom Environment for OpenID Claims**: Allows setting custom claims for OpenID, providing more flexibility in user authentication.
+- **🔧 Enhanced Tools & Functions API**: Introduced 'event_emitter' and 'event_call', now you can also add citations for better documentation and tracking. Detailed documentation will be provided on our documentation website.
+- **↔️ Sideways Scrolling in Settings**: Settings tabs container now supports horizontal scrolling for easier navigation.
+- **🌑 Darker OLED Theme**: Includes a new, darker OLED theme and improved styling for the light theme, enhancing visual appeal.
+- **🌐 Language Updates**: Updated translations for Indonesian, German, French, and Catalan languages, expanding accessibility.
+
+### Fixed
+
+- **⏰ OpenAI Streaming Timeout**: Resolved issues with OpenAI streaming response using the 'AIOHTTP_CLIENT_TIMEOUT' setting, ensuring reliable performance.
+- **💡 User Valves**: Fixed malfunctioning user valves, ensuring proper functionality.
+- **🔄 Collapsible Components**: Addressed issues with collapsible components not working, restoring expected behavior.
+
+### Changed
+
+- **🗃️ Database Backend**: Switched from Peewee to SQLAlchemy for improved concurrency support, enhancing database performance.
+- **⬆️ ChromaDB Update**: Upgraded to version 0.5.3. Ensure your remote ChromaDB instance matches this version.
+- **🔤 Primary Font Styling**: Updated primary font to Archivo for better visual consistency.
+- **🔄 Font Change for Windows**: Replaced Arimo with Inter font for Windows users, improving readability.
+- **🚀 Lazy Loading**: Implemented lazy loading for 'faster_whisper' and 'sentence_transformers' to reduce startup memory usage.
+- **📋 Task Generation Payload**: Task generations now include only the "task" field in the body instead of "title".
+
+## [0.3.7] - 2024-06-29
+
+### Added
+
+- **🌐 Enhanced Internationalization (i18n)**: Newly introduced Indonesian translation, and updated translations for Turkish, Chinese, and Catalan languages to improve user accessibility.
+
+### Fixed
+
+- **🕵️‍♂️ Browser Language Detection**: Corrected the issue where the application was not properly detecting and adapting to the browser's language settings.
+- **🔐 OIDC Admin Role Assignment**: Fixed a bug where the admin role was not being assigned to the first user who signed up via OpenID Connect (OIDC).
+- **💬 Chat/Completions Endpoint**: Resolved an issue where the chat/completions endpoint was non-functional when the stream option was set to False.
+- **🚫 'WEBUI_AUTH' Configuration**: Addressed the problem where setting 'WEBUI_AUTH' to False was not being applied correctly.
+
+### Changed
+
+- **📦 Dependency Update**: Upgraded 'authlib' from version 1.3.0 to 1.3.1 to ensure better security and performance enhancements.
+
+## [0.3.6] - 2024-06-27
+
+### Added
+
+- **✨ "Functions" Feature**: You can now utilize "Functions" like filters (middleware) and pipe (model) functions directly within the WebUI. While largely compatible with Pipelines, these native functions can be executed easily within Open WebUI. Example use cases for filter functions include usage monitoring, real-time translation, moderation, and automemory. For pipe functions, the scope ranges from Cohere and Anthropic integration directly within Open WebUI, enabling "Valves" for per-user OpenAI API key usage, and much more. If you encounter issues, SAFE_MODE has been introduced.
+- **📁 Files API**: Compatible with OpenAI, this feature allows for custom Retrieval-Augmented Generation (RAG) in conjunction with the Filter Function. More examples will be shared on our community platform and official documentation website.
+- **🛠️ Tool Enhancements**: Tools now support citations and "Valves". Documentation will be available shortly.
+- **🔗 Iframe Support via Files API**: Enables rendering HTML directly into your chat interface using functions and tools. Use cases include playing games like DOOM and Snake, displaying a weather applet, and implementing Anthropic "artifacts"-like features. Stay tuned for updates on our community platform and documentation.
+- **🔒 Experimental OAuth Support**: New experimental OAuth support. Check our documentation for more details.
+- **🖼️ Custom Background Support**: Set a custom background from Settings > Interface to personalize your experience.
+- **🔑 AUTOMATIC1111_API_AUTH Support**: Enhanced security for the AUTOMATIC1111 API.
+- **🎨 Code Highlight Optimization**: Improved code highlighting features.
+- **🎙️ Voice Interruption Feature**: Reintroduced and now toggleable from Settings > Interface.
+- **💤 Wakelock API**: Now in use to prevent screen dimming during important tasks.
+- **🔐 API Key Privacy**: All API keys are now hidden by default for better security.
+- **🔍 New Web Search Provider**: Added jina_search as a new option.
+- **🌐 Enhanced Internationalization (i18n)**: Improved Korean translation and updated Chinese and Ukrainian translations.
+
+### Fixed
+
+- **🔧 Conversation Mode Issue**: Fixed the issue where Conversation Mode remained active after being removed from settings.
+- **📏 Scroll Button Obstruction**: Resolved the issue where the scrollToBottom button container obstructed clicks on buttons beneath it.
+
+### Changed
+
+- **⏲️ AIOHTTP_CLIENT_TIMEOUT**: Now set to 'None' by default for improved configuration flexibility.
+- **📞 Voice Call Enhancements**: Improved by skipping code blocks and expressions during calls.
+- **🚫 Error Message Handling**: Disabled the continuation of operations with error messages.
+- **🗂️ Playground Relocation**: Moved the Playground from the workspace to the user menu for better user experience.
+
+## [0.3.5] - 2024-06-16
+
+### Added
+
+- **📞 Enhanced Voice Call**: Text-to-speech (TTS) callback now operates in real-time for each sentence, reducing latency by not waiting for full completion.
+- **👆 Tap to Interrupt**: During a call, you can now stop the assistant from speaking by simply tapping, instead of using voice. This resolves the issue of the speaker's voice being mistakenly registered as input.
+- **😊 Emoji Call**: Toggle this feature on from the Settings > Interface, allowing LLMs to express emotions using emojis during voice calls for a more dynamic interaction.
+- **🖱️ Quick Archive/Delete**: Use the Shift key + mouseover on the chat list to swiftly archive or delete items.
+- **📝 Markdown Support in Model Descriptions**: You can now format model descriptions with markdown, enabling bold text, links, etc.
+- **🧠 Editable Memories**: Adds the capability to modify memories.
+- **📋 Admin Panel Sorting**: Introduces the ability to sort users/chats within the admin panel.
+- **🌑 Dark Mode for Quick Selectors**: Dark mode now available for chat quick selectors (prompts, models, documents).
+- **🔧 Advanced Parameters**: Adds 'num_keep' and 'num_batch' to advanced parameters for customization.
+- **📅 Dynamic System Prompts**: New variables '{{CURRENT_DATETIME}}', '{{CURRENT_TIME}}', '{{USER_LOCATION}}' added for system prompts. Ensure '{{USER_LOCATION}}' is toggled on from Settings > Interface.
+- **🌐 Tavily Web Search**: Includes Tavily as a web search provider option.
+- **🖊️ Federated Auth Usernames**: Ability to set user names for federated authentication.
+- **🔗 Auto Clean URLs**: When adding connection URLs, trailing slashes are now automatically removed.
+- **🌐 Enhanced Translations**: Improved Chinese and Swedish translations.
+
+### Fixed
+
+- **⏳ AIOHTTP_CLIENT_TIMEOUT**: Introduced a new environment variable 'AIOHTTP_CLIENT_TIMEOUT' for requests to Ollama lasting longer than 5 minutes. Default is 300 seconds; set to blank ('') for no timeout.
+- **❌ Message Delete Freeze**: Resolved an issue where message deletion would sometimes cause the web UI to freeze.
+
+## [0.3.4] - 2024-06-12
+
+### Fixed
+
+- **🔒 Mixed Content with HTTPS Issue**: Resolved a problem where mixed content (HTTP and HTTPS) was causing security warnings and blocking resources on HTTPS sites.
+- **🔍 Web Search Issue**: Addressed the problem where web search functionality was not working correctly. The 'ENABLE_RAG_LOCAL_WEB_FETCH' option has been reintroduced to restore proper web searching capabilities.
+- **💾 RAG Template Not Being Saved**: Fixed an issue where the RAG template was not being saved correctly, ensuring your custom templates are now preserved as expected.
+
+## [0.3.3] - 2024-06-12
+
+### Added
+
+- **🛠️ Native Python Function Calling**: Introducing native Python function calling within Open WebUI. We’ve also included a built-in code editor to seamlessly develop and integrate function code within the 'Tools' workspace. With this, you can significantly enhance your LLM’s capabilities by creating custom RAG pipelines, web search tools, and even agent-like features such as sending Discord messages.
+- **🌐 DuckDuckGo Integration**: Added DuckDuckGo as a web search provider, giving you more search options.
+- **🌏 Enhanced Translations**: Improved translations for Vietnamese and Chinese languages, making the interface more accessible.
+
+### Fixed
+
+- **🔗 Web Search URL Error Handling**: Fixed the issue where a single URL error would disrupt the data loading process in Web Search mode. Now, such errors will be handled gracefully to ensure uninterrupted data loading.
+- **🖥️ Frontend Responsiveness**: Resolved the problem where the frontend would stop responding if the backend encounters an error while downloading a model. Improved error handling to maintain frontend stability.
+- **🔧 Dependency Issues in pip**: Fixed issues related to pip installations, ensuring all dependencies are correctly managed to prevent installation errors.
+
+## [0.3.2] - 2024-06-10
+
+### Added
+
+- **🔍 Web Search Query Status**: The web search query will now persist in the results section to aid in easier debugging and tracking of search queries.
+- **🌐 New Web Search Provider**: We have added Serply as a new option for web search providers, giving you more choices for your search needs.
+- **🌏 Improved Translations**: We've enhanced translations for Chinese and Portuguese.
+
+### Fixed
+
+- **🎤 Audio File Upload Issue**: The bug that prevented audio files from being uploaded in chat input has been fixed, ensuring smooth communication.
+- **💬 Message Input Handling**: Improved the handling of message inputs by instantly clearing images and text after sending, along with immediate visual indications when a response message is loading, enhancing user feedback.
+- **⚙️ Parameter Registration and Validation**: Fixed the issue where parameters were not registering in certain cases and addressed the problem where users were unable to save due to invalid input errors.
+
+## [0.3.1] - 2024-06-09
+
+### Fixed
+
+- **💬 Chat Functionality**: Resolved the issue where chat functionality was not working for specific models.
+
+## [0.3.0] - 2024-06-09
+
+### Added
+
+- **📚 Knowledge Support for Models**: Attach documents directly to models from the models workspace, enhancing the information available to each model.
+- **🎙️ Hands-Free Voice Call Feature**: Initiate voice calls without needing to use your hands, making interactions more seamless.
+- **📹 Video Call Feature**: Enable video calls with supported vision models like Llava and GPT-4o, adding a visual dimension to your communications.
+- **🎛️ Enhanced UI for Voice Recording**: Improved user interface for the voice recording feature, making it more intuitive and user-friendly.
+- **🌐 External STT Support**: Now support for external Speech-To-Text services, providing more flexibility in choosing your STT provider.
+- **⚙️ Unified Settings**: Consolidated settings including document settings under a new admin settings section for easier management.
+- **🌑 Dark Mode Splash Screen**: A new splash screen for dark mode, ensuring a consistent and visually appealing experience for dark mode users.
+- **📥 Upload Pipeline**: Directly upload pipelines from the admin settings > pipelines section, streamlining the pipeline management process.
+- **🌍 Improved Language Support**: Enhanced support for Chinese and Ukrainian languages, better catering to a global user base.
+
+### Fixed
+
+- **🛠️ Playground Issue**: Fixed the playground not functioning properly, ensuring a smoother user experience.
+- **🔥 Temperature Parameter Issue**: Corrected the issue where the temperature value '0' was not being passed correctly.
+- **📝 Prompt Input Clearing**: Resolved prompt input textarea not being cleared right away, ensuring a clean slate for new inputs.
+- **✨ Various UI Styling Issues**: Fixed numerous user interface styling problems for a more cohesive look.
+- **👥 Active Users Display**: Fixed active users showing active sessions instead of actual users, now reflecting accurate user activity.
+- **🌐 Community Platform Compatibility**: The Community Platform is back online and fully compatible with Open WebUI.
+
+### Changed
+
+- **📝 RAG Implementation**: Updated the RAG (Retrieval-Augmented Generation) implementation to use a system prompt for context, instead of overriding the user's prompt.
+- **🔄 Settings Relocation**: Moved Models, Connections, Audio, and Images settings to the admin settings for better organization.
+- **✍️ Improved Title Generation**: Enhanced the default prompt for title generation, yielding better results.
+- **🔧 Backend Task Management**: Tasks like title generation and search query generation are now managed on the backend side and controlled only by the admin.
+- **🔍 Editable Search Query Prompt**: You can now edit the search query generation prompt, offering more control over how queries are generated.
+- **📏 Prompt Length Threshold**: Set the prompt length threshold for search query generation from the admin settings, giving more customization options.
+- **📣 Settings Consolidation**: Merged the Banners admin setting with the Interface admin setting for a more streamlined settings area.
+
+## [0.2.5] - 2024-06-05
+
+### Added
+
+- **👥 Active Users Indicator**: Now you can see how many people are currently active and what they are running. This helps you gauge when performance might slow down due to a high number of users.
+- **🗂️ Create Ollama Modelfile**: The option to create a modelfile for Ollama has been reintroduced in the Settings > Models section, making it easier to manage your models.
+- **⚙️ Default Model Setting**: Added an option to set the default model from Settings > Interface. This feature is now easily accessible, especially convenient for mobile users as it was previously hidden.
+- **🌐 Enhanced Translations**: We've improved the Chinese translations and added support for Turkmen and Norwegian languages to make the interface more accessible globally.
+
+### Fixed
+
+- **📱 Mobile View Improvements**: The UI now uses dvh (dynamic viewport height) instead of vh (viewport height), providing a better and more responsive experience for mobile users.
+
+## [0.2.4] - 2024-06-03
+
+### Added
+
+- **👤 Improved Account Pending Page**: The account pending page now displays admin details by default to avoid confusion. You can disable this feature in the admin settings if needed.
+- **🌐 HTTP Proxy Support**: We have enabled the use of the 'http_proxy' environment variable in OpenAI and Ollama API calls, making it easier to configure network settings.
+- **❓ Quick Access to Documentation**: You can now easily access Open WebUI documents via a question mark button located at the bottom right corner of the screen (available on larger screens like PCs).
+- **🌍 Enhanced Translation**: Improvements have been made to translations.
+
+### Fixed
+
+- **🔍 SearxNG Web Search**: Fixed the issue where the SearxNG web search functionality was not working properly.
+
+## [0.2.3] - 2024-06-03
+
+### Added
+
+- **📁 Export Chat as JSON**: You can now export individual chats as JSON files from the navbar menu by navigating to 'Download > Export Chat'. This makes sharing specific conversations easier.
+- **✏️ Edit Titles with Double Click**: Double-click on titles to rename them quickly and efficiently.
+- **🧩 Batch Multiple Embeddings**: Introduced 'RAG_EMBEDDING_OPENAI_BATCH_SIZE' to process multiple embeddings in a batch, enhancing performance for large datasets.
+- **🌍 Improved Translations**: Enhanced the translation quality across various languages for a better user experience.
+
+### Fixed
+
+- **🛠️ Modelfile Migration Script**: Fixed an issue where the modelfile migration script would fail if an invalid modelfile was encountered.
+- **💬 Zhuyin Input Method on Mac**: Resolved an issue where using the Zhuyin input method in the Web UI on a Mac caused text to send immediately upon pressing the enter key, leading to incorrect input.
+- **🔊 Local TTS Voice Selection**: Fixed the issue where the selected local Text-to-Speech (TTS) voice was not being displayed in settings.
+
+## [0.2.2] - 2024-06-02
+
+### Added
+
+- **🌊 Mermaid Rendering Support**: We've included support for Mermaid rendering. This allows you to create beautiful diagrams and flowcharts directly within Open WebUI.
+- **🔄 New Environment Variable 'RESET_CONFIG_ON_START'**: Introducing a new environment variable: 'RESET_CONFIG_ON_START'. Set this variable to reset your configuration settings upon starting the application, making it easier to revert to default settings.
+
+### Fixed
+
+- **🔧 Pipelines Filter Issue**: We've addressed an issue with the pipelines where filters were not functioning as expected.
+
+## [0.2.1] - 2024-06-02
+
+### Added
+
+- **🖱️ Single Model Export Button**: Easily export models with just one click using the new single model export button.
+- **🖥️ Advanced Parameters Support**: Added support for 'num_thread', 'use_mmap', and 'use_mlock' parameters for Ollama.
+- **🌐 Improved Vietnamese Translation**: Enhanced Vietnamese language support for a better user experience for our Vietnamese-speaking community.
+
+### Fixed
+
+- **🔧 OpenAI URL API Save Issue**: Corrected a problem preventing the saving of OpenAI URL API settings.
+- **🚫 Display Issue with Disabled Ollama API**: Fixed the display bug causing models to appear in settings when the Ollama API was disabled.
+
+### Changed
+
+- **💡 Versioning Update**: As a reminder from our previous update, version 0.2.y will focus primarily on bug fixes, while major updates will be designated as 0.x from now on for better version tracking.
+
+## [0.2.0] - 2024-06-01
+
+### Added
+
+- **🔧 Pipelines Support**: Open WebUI now includes a plugin framework for enhanced customization and functionality (https://github.com/open-webui/pipelines). Easily add custom logic and integrate Python libraries, from AI agents to home automation APIs.
+- **🔗 Function Calling via Pipelines**: Integrate function calling seamlessly through Pipelines.
+- **⚖️ User Rate Limiting via Pipelines**: Implement user-specific rate limits to manage API usage efficiently.
+- **📊 Usage Monitoring with Langfuse**: Track and analyze usage statistics with Langfuse integration through Pipelines.
+- **🕒 Conversation Turn Limits**: Set limits on conversation turns to manage interactions better through Pipelines.
+- **🛡️ Toxic Message Filtering**: Automatically filter out toxic messages to maintain a safe environment using Pipelines.
+- **🔍 Web Search Support**: Introducing built-in web search capabilities via RAG API, allowing users to search using SearXNG, Google Programmatic Search Engine, Brave Search, serpstack, and serper. Activate it effortlessly by adding necessary variables from Document settings > Web Params.
+- **🗂️ Models Workspace**: Create and manage model presets for both Ollama/OpenAI API. Note: The old Modelfiles workspace is deprecated.
+- **🛠️ Model Builder Feature**: Build and edit all models with persistent builder mode.
+- **🏷️ Model Tagging Support**: Organize models with tagging features in the models workspace.
+- **📋 Model Ordering Support**: Effortlessly organize models by dragging and dropping them into the desired positions within the models workspace.
+- **📈 OpenAI Generation Stats**: Access detailed generation statistics for OpenAI models.
+- **📅 System Prompt Variables**: New variables added: '{{CURRENT_DATE}}' and '{{USER_NAME}}' for dynamic prompts.
+- **📢 Global Banner Support**: Manage global banners from admin settings > banners.
+- **🗃️ Enhanced Archived Chats Modal**: Search and export archived chats easily.
+- **📂 Archive All Button**: Quickly archive all chats from settings > chats.
+- **🌐 Improved Translations**: Added and improved translations for French, Croatian, Cebuano, and Vietnamese.
+
+### Fixed
+
+- **🔍 Archived Chats Visibility**: Resolved issue with archived chats not showing in the admin panel.
+- **💬 Message Styling**: Fixed styling issues affecting message appearance.
+- **🔗 Shared Chat Responses**: Corrected the issue where shared chat response messages were not readonly.
+- **🖥️ UI Enhancement**: Fixed the scrollbar overlapping issue with the message box in the user interface.
+
+### Changed
+
+- **💾 User Settings Storage**: User settings are now saved on the backend, ensuring consistency across all devices.
+- **📡 Unified API Requests**: The API request for getting models is now unified to '/api/models' for easier usage.
+- **🔄 Versioning Update**: Our versioning will now follow the format 0.x for major updates and 0.x.y for patches.
+- **📦 Export All Chats (All Users)**: Moved this functionality to the Admin Panel settings for better organization and accessibility.
+
+### Removed
+
+- **🚫 Bundled LiteLLM Support Deprecated**: Migrate your LiteLLM config.yaml to a self-hosted LiteLLM instance. LiteLLM can still be added via OpenAI Connections. Download the LiteLLM config.yaml from admin settings > database > export LiteLLM config.yaml.
+
+## [0.1.125] - 2024-05-19
+
+### Added
+
+- **🔄 Updated UI**: Chat interface revamped with chat bubbles. Easily switch back to the old style via settings > interface > chat bubble UI.
+- **📂 Enhanced Sidebar UI**: Model files, documents, prompts, and playground merged into Workspace for streamlined access.
+- **🚀 Improved Many Model Interaction**: All responses now displayed simultaneously for a smoother experience.
+- **🐍 Python Code Execution**: Execute Python code locally in the browser with libraries like 'requests', 'beautifulsoup4', 'numpy', 'pandas', 'seaborn', 'matplotlib', 'scikit-learn', 'scipy', 'regex'.
+- **🧠 Experimental Memory Feature**: Manually input personal information you want LLMs to remember via settings > personalization > memory.
+- **💾 Persistent Settings**: Settings now saved as config.json for convenience.
+- **🩺 Health Check Endpoint**: Added for Docker deployment.
+- **↕️ RTL Support**: Toggle chat direction via settings > interface > chat direction.
+- **🖥️ PowerPoint Support**: RAG pipeline now supports PowerPoint documents.
+- **🌐 Language Updates**: Ukrainian, Turkish, Arabic, Chinese, Serbian, Vietnamese updated; Punjabi added.
+
+### Changed
+
+- **👤 Shared Chat Update**: Shared chat now includes creator user information.
+
+## [0.1.124] - 2024-05-08
+
+### Added
+
+- **🖼️ Improved Chat Sidebar**: Now conveniently displays time ranges and organizes chats by today, yesterday, and more.
+- **📜 Citations in RAG Feature**: Easily track the context fed to the LLM with added citations in the RAG feature.
+- **🔒 Auth Disable Option**: Introducing the ability to disable authentication. Set 'WEBUI_AUTH' to False to disable authentication. Note: Only applicable for fresh installations without existing users.
+- **📹 Enhanced YouTube RAG Pipeline**: Now supports non-English videos for an enriched experience.
+- **🔊 Specify OpenAI TTS Models**: Customize your TTS experience by specifying OpenAI TTS models.
+- **🔧 Additional Environment Variables**: Discover more environment variables in our comprehensive documentation at Open WebUI Documentation (https://docs.openwebui.com).
+- **🌐 Language Support**: Arabic, Finnish, and Hindi added; Improved support for German, Vietnamese, and Chinese.
+
+### Fixed
+
+- **🛠️ Model Selector Styling**: Addressed styling issues for improved user experience.
+- **⚠️ Warning Messages**: Resolved backend warning messages.
+
+### Changed
+
+- **📝 Title Generation**: Limited output to 50 tokens.
+- **📦 Helm Charts**: Removed Helm charts, now available in a separate repository (https://github.com/open-webui/helm-charts).
+
+## [0.1.123] - 2024-05-02
+
+### Added
+
+- **🎨 New Landing Page Design**: Refreshed design for a more modern look and optimized use of screen space.
+- **📹 Youtube RAG Pipeline**: Introduces dedicated RAG pipeline for Youtube videos, enabling interaction with video transcriptions directly.
+- **🔧 Enhanced Admin Panel**: Streamlined user management with options to add users directly or in bulk via CSV import.
+- **👥 '@' Model Integration**: Easily switch to specific models during conversations; old collaborative chat feature phased out.
+- **🌐 Language Enhancements**: Swedish translation added, plus improvements to German, Spanish, and the addition of Doge translation.
+
+### Fixed
+
+- **🗑️ Delete Chat Shortcut**: Addressed issue where shortcut wasn't functioning.
+- **🖼️ Modal Closing Bug**: Resolved unexpected closure of modal when dragging from within.
+- **✏️ Edit Button Styling**: Fixed styling inconsistency with edit buttons.
+- **🌐 Image Generation Compatibility Issue**: Rectified image generation compatibility issue with third-party APIs.
+- **📱 iOS PWA Icon Fix**: Corrected iOS PWA home screen icon shape.
+- **🔍 Scroll Gesture Bug**: Adjusted gesture sensitivity to prevent accidental activation when scrolling through code on mobile; now requires scrolling from the leftmost side to open the sidebar.
+
+### Changed
+
+- **🔄 Unlimited Context Length**: Advanced settings now allow unlimited max context length (previously limited to 16000).
+- **👑 Super Admin Assignment**: The first signup is automatically assigned a super admin role, unchangeable by other admins.
+- **🛡️ Admin User Restrictions**: User action buttons from the admin panel are now disabled for users with admin roles.
+- **🔝 Default Model Selector**: Set as default model option now exclusively available on the landing page.
+
+## [0.1.122] - 2024-04-27
+
+### Added
+
+- **🌟 Enhanced RAG Pipeline**: Now with hybrid searching via 'BM25', reranking powered by 'CrossEncoder', and configurable relevance score thresholds.
+- **🛢️ External Database Support**: Seamlessly connect to custom SQLite or Postgres databases using the 'DATABASE_URL' environment variable.
+- **🌐 Remote ChromaDB Support**: Introducing the capability to connect to remote ChromaDB servers.
+- **👨‍💼 Improved Admin Panel**: Admins can now conveniently check users' chat lists and last active status directly from the admin panel.
+- **🎨 Splash Screen**: Introducing a loading splash screen for a smoother user experience.
+- **🌍 Language Support Expansion**: Added support for Bangla (bn-BD), along with enhancements to Chinese, Spanish, and Ukrainian translations.
+- **💻 Improved LaTeX Rendering Performance**: Enjoy faster rendering times for LaTeX equations.
+- **🔧 More Environment Variables**: Explore additional environment variables in our documentation (https://docs.openwebui.com), including the 'ENABLE_LITELLM' option to manage memory usage.
+
+### Fixed
+
+- **🔧 Ollama Compatibility**: Resolved errors occurring when Ollama server version isn't an integer, such as SHA builds or RCs.
+- **🐛 Various OpenAI API Issues**: Addressed several issues related to the OpenAI API.
+- **🛑 Stop Sequence Issue**: Fixed the problem where the stop sequence with a backslash '\' was not functioning.
+- **🔤 Font Fallback**: Corrected font fallback issue.
+
+### Changed
+
+- **⌨️ Prompt Input Behavior on Mobile**: Enter key prompt submission disabled on mobile devices for improved user experience.
+
 ## [0.1.121] - 2024-04-24
 
 ### Fixed

CODE_OF_CONDUCT.md

@@ -0,0 +1,77 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming, diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contribute to a positive environment for our community include:
+
+- Demonstrating empathy and kindness toward other people
+- Being respectful of differing opinions, viewpoints, and experiences
+- Giving and gracefully accepting constructive feedback
+- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience
+- Focusing on what is best not just for us as individuals, but for the overall community
+
+Examples of unacceptable behavior include:
+
+- The use of sexualized language or imagery, and sexual attention or advances of any kind
+- Trolling, insulting or derogatory comments, and personal or political attacks
+- Public or private harassment
+- Publishing others' private information, such as a physical or email address, without their explicit permission
+- **Spamming of any kind**
+- Aggressive sales tactics targeting our community members are strictly prohibited. You can mention your product if it's relevant to the discussion, but under no circumstances should you push it forcefully
+- Other conduct which could reasonably be considered inappropriate in a professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of acceptable behavior and will take appropriate and fair corrective action in response to any behavior that they deem inappropriate, threatening, offensive, or harmful.
+
+## Scope
+
+This Code of Conduct applies within all community spaces and also applies when an individual is officially representing the community in public spaces. Examples of representing our community include using an official e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, spamming, or otherwise unacceptable behavior may be reported to the community leaders responsible for enforcement at hello@openwebui.com. All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Temporary Ban
+
+**Community Impact**: Any violation of community standards, including but not limited to inappropriate language, unprofessional behavior, harassment, or spamming.
+
+**Consequence**: A temporary ban from any sort of interaction or public communication with the community for a specified period of time. No public or private interaction with the people involved, including unsolicited interaction with those enforcing the Code of Conduct, is allowed during this period. Violating these terms may lead to a permanent ban.
+
+### 2. Permanent Ban
+
+**Community Impact**: Repeated or severe violations of community standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.

Dockerfile

@@ -8,11 +8,17 @@ ARG USE_CUDA_VER=cu121
 # any sentence transformer model; models to use can be found at https://huggingface.co/models?library=sentence-transformers
 # Leaderboard: https://huggingface.co/spaces/mteb/leaderboard 
 # for better performance and multilangauge support use "intfloat/multilingual-e5-large" (~2.5GB) or "intfloat/multilingual-e5-base" (~1.5GB)
-# IMPORTANT: If you change the default model (sentence-transformers/all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
+# IMPORTANT: If you change the embedding model (sentence-transformers/all-MiniLM-L6-v2) and vice versa, you aren't able to use RAG Chat with your previous documents loaded in the WebUI! You need to re-embed them.
 ARG USE_EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
+ARG USE_RERANKING_MODEL=""
+ARG BUILD_HASH=dev-build
+# Override at your own risk - non-root configurations are untested
+ARG UID=0
+ARG GID=0
 
 ######## WebUI frontend ########
 FROM --platform=$BUILDPLATFORM node:21-alpine3.19 as build
+ARG BUILD_HASH
 
 WORKDIR /app
 
@@ -20,6 +26,7 @@ COPY package.json package-lock.json ./
 RUN npm ci
 
 COPY . .
+ENV APP_BUILD_HASH=${BUILD_HASH}
 RUN npm run build
 
 ######## WebUI backend ########
@@ -30,6 +37,9 @@ ARG USE_CUDA
 ARG USE_OLLAMA
 ARG USE_CUDA_VER
 ARG USE_EMBEDDING_MODEL
+ARG USE_RERANKING_MODEL
+ARG UID
+ARG GID
 
 ## Basis ##
 ENV ENV=prod \
@@ -38,7 +48,8 @@ ENV ENV=prod \
     USE_OLLAMA_DOCKER=${USE_OLLAMA} \
     USE_CUDA_DOCKER=${USE_CUDA} \
     USE_CUDA_DOCKER_VER=${USE_CUDA_VER} \
-    USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL}
+    USE_EMBEDDING_MODEL_DOCKER=${USE_EMBEDDING_MODEL} \
+    USE_RERANKING_MODEL_DOCKER=${USE_RERANKING_MODEL}
 
 ## Basis URL Config ##
 ENV OLLAMA_BASE_URL="/ollama" \
@@ -48,12 +59,8 @@ ENV OLLAMA_BASE_URL="/ollama" \
 ENV OPENAI_API_KEY="" \
     WEBUI_SECRET_KEY="" \
     SCARF_NO_ANALYTICS=true \
-    DO_NOT_TRACK=true
-
-# Use locally bundled version of the LiteLLM cost map json
-# to avoid repetitive startup connections
-ENV LITELLM_LOCAL_MODEL_COST_MAP="True"
-
+    DO_NOT_TRACK=true \
+    ANONYMIZED_TELEMETRY=false
 
 #### Other models #########################################################
 ## whisper TTS model settings ##
@@ -62,50 +69,71 @@ ENV WHISPER_MODEL="base" \
 
 ## RAG Embedding model settings ##
 ENV RAG_EMBEDDING_MODEL="$USE_EMBEDDING_MODEL_DOCKER" \
-    RAG_EMBEDDING_MODEL_DIR="/app/backend/data/cache/embedding/models" \
+    RAG_RERANKING_MODEL="$USE_RERANKING_MODEL_DOCKER" \
     SENTENCE_TRANSFORMERS_HOME="/app/backend/data/cache/embedding/models"
+
+## Hugging Face download cache ##
+ENV HF_HOME="/app/backend/data/cache/embedding/models"
 #### Other models ##########################################################
 
 WORKDIR /app/backend
 
+ENV HOME /root
+# Create user and group if not root
+RUN if [ $UID -ne 0 ]; then \
+    if [ $GID -ne 0 ]; then \
+    addgroup --gid $GID app; \
+    fi; \
+    adduser --uid $UID --gid $GID --home $HOME --disabled-password --no-create-home app; \
+    fi
+
+RUN mkdir -p $HOME/.cache/chroma
+RUN echo -n 00000000-0000-0000-0000-000000000000 > $HOME/.cache/chroma/telemetry_user_id
+
+# Make sure the user has access to the app and root directory
+RUN chown -R $UID:$GID /app $HOME
+
 RUN if [ "$USE_OLLAMA" = "true" ]; then \
-        apt-get update && \
-        # Install pandoc and netcat
-        apt-get install -y --no-install-recommends pandoc netcat-openbsd && \
-        # for RAG OCR
-        apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
-        # install helper tools
-        apt-get install -y --no-install-recommends curl && \
-        # install ollama
-        curl -fsSL https://ollama.com/install.sh | sh && \
-        # cleanup
-        rm -rf /var/lib/apt/lists/*; \
+    apt-get update && \
+    # Install pandoc and netcat
+    apt-get install -y --no-install-recommends pandoc netcat-openbsd curl && \
+    apt-get install -y --no-install-recommends gcc python3-dev && \
+    # for RAG OCR
+    apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
+    # install helper tools
+    apt-get install -y --no-install-recommends curl jq && \
+    # install ollama
+    curl -fsSL https://ollama.com/install.sh | sh && \
+    # cleanup
+    rm -rf /var/lib/apt/lists/*; \
     else \
-        apt-get update && \
-        # Install pandoc and netcat
-        apt-get install -y --no-install-recommends pandoc netcat-openbsd && \
-        # for RAG OCR
-        apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
-        # cleanup
-        rm -rf /var/lib/apt/lists/*; \
+    apt-get update && \
+    # Install pandoc, netcat and gcc
+    apt-get install -y --no-install-recommends pandoc gcc netcat-openbsd curl jq && \
+    apt-get install -y --no-install-recommends gcc python3-dev && \
+    # for RAG OCR
+    apt-get install -y --no-install-recommends ffmpeg libsm6 libxext6 && \
+    # cleanup
+    rm -rf /var/lib/apt/lists/*; \
     fi
 
 # install python dependencies
-COPY ./backend/requirements.txt ./requirements.txt
+COPY --chown=$UID:$GID ./backend/requirements.txt ./requirements.txt
 
 RUN pip3 install uv && \
     if [ "$USE_CUDA" = "true" ]; then \
-        # If you use CUDA the whisper and embedding model will be downloaded on first use
-        pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
-        uv pip install --system -r requirements.txt --no-cache-dir && \
-        python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
-        python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
+    # If you use CUDA the whisper and embedding model will be downloaded on first use
+    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/$USE_CUDA_DOCKER_VER --no-cache-dir && \
+    uv pip install --system -r requirements.txt --no-cache-dir && \
+    python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
+    python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
     else \
-        pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
-        uv pip install --system -r requirements.txt --no-cache-dir && \
-        python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
-        python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
-    fi
+    pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir && \
+    uv pip install --system -r requirements.txt --no-cache-dir && \
+    python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ['RAG_EMBEDDING_MODEL'], device='cpu')" && \
+    python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
+    fi; \
+    chown -R $UID:$GID /app/backend/data/
 
 
 
@@ -114,13 +142,20 @@ RUN pip3 install uv && \
 # COPY --from=build /app/onnx /root/.cache/chroma/onnx_models/all-MiniLM-L6-v2/onnx
 
 # copy built frontend files
-COPY --from=build /app/build /app/build
-COPY --from=build /app/CHANGELOG.md /app/CHANGELOG.md
-COPY --from=build /app/package.json /app/package.json
+COPY --chown=$UID:$GID --from=build /app/build /app/build
+COPY --chown=$UID:$GID --from=build /app/CHANGELOG.md /app/CHANGELOG.md
+COPY --chown=$UID:$GID --from=build /app/package.json /app/package.json
 
 # copy backend files
-COPY ./backend .
+COPY --chown=$UID:$GID ./backend .
 
 EXPOSE 8080
 
-CMD [ "bash", "start.sh"]
+HEALTHCHECK CMD curl --silent --fail http://localhost:${PORT:-8080}/health | jq -ne 'input.status == true' || exit 1
+
+USER $UID:$GID
+
+ARG BUILD_HASH
+ENV WEBUI_BUILD_VERSION=${BUILD_HASH}
+
+CMD [ "bash", "start.sh"]

Makefile

@@ -1,27 +1,33 @@
+
+ifneq ($(shell which docker-compose 2>/dev/null),)
+    DOCKER_COMPOSE := docker-compose
+else
+    DOCKER_COMPOSE := docker compose
+endif
+
 install:
-	@docker-compose up -d
+	$(DOCKER_COMPOSE) up -d
 
 remove:
 	@chmod +x confirm_remove.sh
 	@./confirm_remove.sh
 
-
 start:
-	@docker-compose start
+	$(DOCKER_COMPOSE) start
 startAndBuild: 
-	docker-compose up -d --build
+	$(DOCKER_COMPOSE) up -d --build
 
 stop:
-	@docker-compose stop
+	$(DOCKER_COMPOSE) stop
 
 update:
 	# Calls the LLM update script
 	chmod +x update_ollama_models.sh
 	@./update_ollama_models.sh
 	@git pull
-	@docker-compose down
+	$(DOCKER_COMPOSE) down
 	# Make sure the ollama-webui container is stopped before rebuilding
 	@docker stop open-webui || true
-	@docker-compose up --build -d
-	@docker-compose start
+	$(DOCKER_COMPOSE) up --build -d
+	$(DOCKER_COMPOSE) start
 

README.md

@@ -11,97 +11,47 @@
 [![Discord](https://img.shields.io/badge/Discord-Open_WebUI-blue?logo=discord&logoColor=white)](https://discord.gg/5rJgQTnV4s)
 [![](https://img.shields.io/static/v1?label=Sponsor&message=%E2%9D%A4&logo=GitHub&color=%23fe8e86)](https://github.com/sponsors/tjbck)
 
-Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our [Open WebUI Documentation](https://docs.openwebui.com/).
+Open WebUI is an [extensible](https://github.com/open-webui/pipelines), feature-rich, and user-friendly self-hosted WebUI designed to operate entirely offline. It supports various LLM runners, including Ollama and OpenAI-compatible APIs. For more information, be sure to check out our [Open WebUI Documentation](https://docs.openwebui.com/).
 
 ![Open WebUI Demo](./demo.gif)
 
-## Features ⭐
+## Key Features of Open WebUI ⭐
 
-- 🖥️ **Intuitive Interface**: Our chat interface takes inspiration from ChatGPT, ensuring a user-friendly experience.
+- 🚀 **Effortless Setup**: Install seamlessly using Docker or Kubernetes (kubectl, kustomize or helm) for a hassle-free experience with support for both `:ollama` and `:cuda` tagged images.
 
-- 📱 **Responsive Design**: Enjoy a seamless experience on both desktop and mobile devices.
+- 🤝 **Ollama/OpenAI API Integration**: Effortlessly integrate OpenAI-compatible APIs for versatile conversations alongside Ollama models. Customize the OpenAI API URL to link with **LMStudio, GroqCloud, Mistral, OpenRouter, and more**.
 
-- ⚡ **Swift Responsiveness**: Enjoy fast and responsive performance.
+- 🧩 **Pipelines, Open WebUI Plugin Support**: Seamlessly integrate custom logic and Python libraries into Open WebUI using [Pipelines Plugin Framework](https://github.com/open-webui/pipelines). Launch your Pipelines instance, set the OpenAI URL to the Pipelines URL, and explore endless possibilities. [Examples](https://github.com/open-webui/pipelines/tree/main/examples) include **Function Calling**, User **Rate Limiting** to control access, **Usage Monitoring** with tools like Langfuse, **Live Translation with LibreTranslate** for multilingual support, **Toxic Message Filtering** and much more.
 
-- 🚀 **Effortless Setup**: Install seamlessly using Docker or Kubernetes (kubectl, kustomize or helm) for a hassle-free experience.
+- 📱 **Responsive Design**: Enjoy a seamless experience across Desktop PC, Laptop, and Mobile devices.
 
-- 🌈 **Theme Customization**: Choose from a variety of themes to personalize your Open WebUI experience.
-
-- 💻 **Code Syntax Highlighting**: Enjoy enhanced code readability with our syntax highlighting feature.
+- 📱 **Progressive Web App (PWA) for Mobile**: Enjoy a native app-like experience on your mobile device with our PWA, providing offline access on localhost and a seamless user interface.
 
 - ✒️🔢 **Full Markdown and LaTeX Support**: Elevate your LLM experience with comprehensive Markdown and LaTeX capabilities for enriched interaction.
 
-- 📚 **Local RAG Integration**: Dive into the future of chat interactions with the groundbreaking Retrieval Augmented Generation (RAG) support. This feature seamlessly integrates document interactions into your chat experience. You can load documents directly into the chat or add files to your document library, effortlessly accessing them using `#` command in the prompt. In its alpha phase, occasional issues may arise as we actively refine and enhance this feature to ensure optimal performance and reliability.
+- 🎤📹 **Hands-Free Voice/Video Call**: Experience seamless communication with integrated hands-free voice and video call features, allowing for a more dynamic and interactive chat environment.
 
-- 🔍 **RAG Embedding Support**: Change the RAG embedding model directly in document settings, enhancing document processing. This feature supports Ollama and OpenAI models.
+- 🛠️ **Model Builder**: Easily create Ollama models via the Web UI. Create and add custom characters/agents, customize chat elements, and import models effortlessly through [Open WebUI Community](https://openwebui.com/) integration.
 
-- 🌐 **Web Browsing Capability**: Seamlessly integrate websites into your chat experience using the `#` command followed by the URL. This feature allows you to incorporate web content directly into your conversations, enhancing the richness and depth of your interactions.
+- 🐍 **Native Python Function Calling Tool**: Enhance your LLMs with built-in code editor support in the tools workspace. Bring Your Own Function (BYOF) by simply adding your pure Python functions, enabling seamless integration with LLMs.
 
-- 📜 **Prompt Preset Support**: Instantly access preset prompts using the `/` command in the chat input. Load predefined conversation starters effortlessly and expedite your interactions. Effortlessly import prompts through [Open WebUI Community](https://openwebui.com/) integration.
+- 📚 **Local RAG Integration**: Dive into the future of chat interactions with groundbreaking Retrieval Augmented Generation (RAG) support. This feature seamlessly integrates document interactions into your chat experience. You can load documents directly into the chat or add files to your document library, effortlessly accessing them using the `#` command before a query.
 
-- 👍👎 **RLHF Annotation**: Empower your messages by rating them with thumbs up and thumbs down, followed by the option to provide textual feedback, facilitating the creation of datasets for Reinforcement Learning from Human Feedback (RLHF). Utilize your messages to train or fine-tune models, all while ensuring the confidentiality of locally saved data.
+- 🔍 **Web Search for RAG**: Perform web searches using providers like `SearXNG`, `Google PSE`, `Brave Search`, `serpstack`, `serper`, `Serply`, `DuckDuckGo`, `TavilySearch` and `SearchApi` and inject the results directly into your chat experience.
 
-- 🏷️ **Conversation Tagging**: Effortlessly categorize and locate specific chats for quick reference and streamlined data collection.
+- 🌐 **Web Browsing Capability**: Seamlessly integrate websites into your chat experience using the `#` command followed by a URL. This feature allows you to incorporate web content directly into your conversations, enhancing the richness and depth of your interactions.
 
-- 📥🗑️ **Download/Delete Models**: Easily download or remove models directly from the web UI.
-
-- 🔄 **Update All Ollama Models**: Easily update locally installed models all at once with a convenient button, streamlining model management.
-
-- ⬆️ **GGUF File Model Creation**: Effortlessly create Ollama models by uploading GGUF files directly from the web UI. Streamlined process with options to upload from your machine or download GGUF files from Hugging Face.
-
-- 🤖 **Multiple Model Support**: Seamlessly switch between different chat models for diverse interactions.
-
-- 🔄 **Multi-Modal Support**: Seamlessly engage with models that support multimodal interactions, including images (e.g., LLava).
-
-- 🧩 **Modelfile Builder**: Easily create Ollama modelfiles via the web UI. Create and add characters/agents, customize chat elements, and import modelfiles effortlessly through [Open WebUI Community](https://openwebui.com/) integration.
+- 🎨 **Image Generation Integration**: Seamlessly incorporate image generation capabilities using options such as AUTOMATIC1111 API or ComfyUI (local), and OpenAI's DALL-E (external), enriching your chat experience with dynamic visual content.
 
 - ⚙️ **Many Models Conversations**: Effortlessly engage with various models simultaneously, harnessing their unique strengths for optimal responses. Enhance your experience by leveraging a diverse set of models in parallel.
 
-- 💬 **Collaborative Chat**: Harness the collective intelligence of multiple models by seamlessly orchestrating group conversations. Use the `@` command to specify the model, enabling dynamic and diverse dialogues within your chat interface. Immerse yourself in the collective intelligence woven into your chat environment.
-
-- 🗨️ **Local Chat Sharing**: Generate and share chat links seamlessly between users, enhancing collaboration and communication.
-
-- 🔄 **Regeneration History Access**: Easily revisit and explore your entire regeneration history.
-
-- 📜 **Chat History**: Effortlessly access and manage your conversation history.
-
-- 📬 **Archive Chats**: Effortlessly store away completed conversations with LLMs for future reference, maintaining a tidy and clutter-free chat interface while allowing for easy retrieval and reference.
-
-- 📤📥 **Import/Export Chat History**: Seamlessly move your chat data in and out of the platform.
-
-- 🗣️ **Voice Input Support**: Engage with your model through voice interactions; enjoy the convenience of talking to your model directly. Additionally, explore the option for sending voice input automatically after 3 seconds of silence for a streamlined experience.
-
-- 🔊 **Configurable Text-to-Speech Endpoint**: Customize your Text-to-Speech experience with configurable OpenAI endpoints.
-
-- ⚙️ **Fine-Tuned Control with Advanced Parameters**: Gain a deeper level of control by adjusting parameters such as temperature and defining your system prompts to tailor the conversation to your specific preferences and needs.
-
-- 🎨🤖 **Image Generation Integration**: Seamlessly incorporate image generation capabilities using options such as AUTOMATIC1111 API (local), ComfyUI (local), and DALL-E, enriching your chat experience with dynamic visual content.
-
-- 🤝 **OpenAI API Integration**: Effortlessly integrate OpenAI-compatible API for versatile conversations alongside Ollama models. Customize the API Base URL to link with **LMStudio, Mistral, OpenRouter, and more**.
-
-- ✨ **Multiple OpenAI-Compatible API Support**: Seamlessly integrate and customize various OpenAI-compatible APIs, enhancing the versatility of your chat interactions.
-
-- 🔑 **API Key Generation Support**: Generate secret keys to leverage Open WebUI with OpenAI libraries, simplifying integration and development.
-
-- 🔗 **External Ollama Server Connection**: Seamlessly link to an external Ollama server hosted on a different address by configuring the environment variable.
-
-- 🔀 **Multiple Ollama Instance Load Balancing**: Effortlessly distribute chat requests across multiple Ollama instances for enhanced performance and reliability.
-
-- 👥 **Multi-User Management**: Easily oversee and administer users via our intuitive admin panel, streamlining user management processes.
-
-- 🔗 **Webhook Integration**: Subscribe to new user sign-up events via webhook (compatible with Google Chat and Microsoft Teams), providing real-time notifications and automation capabilities.
-
-- 🛡️ **Model Whitelisting**: Admins can whitelist models for users with the 'user' role, enhancing security and access control.
-
-- 📧 **Trusted Email Authentication**: Authenticate using a trusted email header, adding an additional layer of security and authentication.
-
 - 🔐 **Role-Based Access Control (RBAC)**: Ensure secure access with restricted permissions; only authorized individuals can access your Ollama, and exclusive model creation/pulling rights are reserved for administrators.
 
-- 🔒 **Backend Reverse Proxy Support**: Bolster security through direct communication between Open WebUI backend and Ollama. This key feature eliminates the need to expose Ollama over LAN. Requests made to the '/ollama/api' route from the web UI are seamlessly redirected to Ollama from the backend, enhancing overall system security.
-
 - 🌐🌍 **Multilingual Support**: Experience Open WebUI in your preferred language with our internationalization (i18n) support. Join us in expanding our supported languages! We're actively seeking contributors!
 
-- 🌟 **Continuous Updates**: We are committed to improving Open WebUI with regular updates and new features.
+- 🌟 **Continuous Updates**: We are committed to improving Open WebUI with regular updates, fixes, and new features.
+
+Want to learn more about Open WebUI's features? Check out our [Open WebUI documentation](https://docs.openwebui.com/features) for a comprehensive overview!
 
 ## 🔗 Also Check Out Open WebUI Community!
 
@@ -120,22 +70,66 @@ Don't forget to explore our sibling project, [Open WebUI Community](https://open
 > [!TIP]  
 > If you wish to utilize Open WebUI with Ollama included or CUDA acceleration, we recommend utilizing our official images tagged with either `:cuda` or `:ollama`. To enable CUDA, you must install the [Nvidia CUDA container toolkit](https://docs.nvidia.com/dgx/nvidia-container-runtime-upgrade/) on your Linux/WSL system.
 
-**If Ollama is on your computer**, use this command:
+### Installation with Default Configuration
 
-```bash
-docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
-```
+- **If Ollama is on your computer**, use this command:
 
-**If Ollama is on a Different Server**, use this command:
+  ```bash
+  docker run -d -p 3000:8080 --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
+  ```
 
-To connect to Ollama on another server, change the `OLLAMA_BASE_URL` to the server's URL:
+- **If Ollama is on a Different Server**, use this command:
 
-```bash
-docker run -d -p 3000:8080 -e OLLAMA_BASE_URL=https://example.com -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
-```
+  To connect to Ollama on another server, change the `OLLAMA_BASE_URL` to the server's URL:
+
+  ```bash
+  docker run -d -p 3000:8080 -e OLLAMA_BASE_URL=https://example.com -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
+  ```
+
+  - **To run Open WebUI with Nvidia GPU support**, use this command:
+
+  ```bash
+  docker run -d -p 3000:8080 --gpus all --add-host=host.docker.internal:host-gateway -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:cuda
+  ```
+
+### Installation for OpenAI API Usage Only
+
+- **If you're only using OpenAI API**, use this command:
+
+  ```bash
+  docker run -d -p 3000:8080 -e OPENAI_API_KEY=your_secret_key -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:main
+  ```
+
+### Installing Open WebUI with Bundled Ollama Support
+
+This installation method uses a single container image that bundles Open WebUI with Ollama, allowing for a streamlined setup via a single command. Choose the appropriate command based on your hardware setup:
+
+- **With GPU Support**:
+  Utilize GPU resources by running the following command:
+
+  ```bash
+  docker run -d -p 3000:8080 --gpus=all -v ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:ollama
+  ```
+
+- **For CPU Only**:
+  If you're not using a GPU, use this command instead:
+
+  ```bash
+  docker run -d -p 3000:8080 -v ollama:/root/.ollama -v open-webui:/app/backend/data --name open-webui --restart always ghcr.io/open-webui/open-webui:ollama
+  ```
+
+Both commands facilitate a built-in, hassle-free installation of both Open WebUI and Ollama, ensuring that you can get everything up and running swiftly.
 
 After installation, you can access Open WebUI at [http://localhost:3000](http://localhost:3000). Enjoy! 😄
 
+### Other Installation Methods
+
+We offer various installation alternatives, including non-Docker native installation methods, Docker Compose, Kustomize, and Helm. Visit our [Open WebUI Documentation](https://docs.openwebui.com/getting-started/) or join our [Discord community](https://discord.gg/5rJgQTnV4s) for comprehensive guidance.
+
+### Troubleshooting
+
+Encountering connection issues? Our [Open WebUI Documentation](https://docs.openwebui.com/troubleshooting/) has got you covered. For further assistance and to join our vibrant community, visit the [Open WebUI Discord](https://discord.gg/5rJgQTnV4s).
+
 #### Open WebUI: Server Connection Error
 
 If you're experiencing connection issues, it’s often due to the WebUI docker container not being able to reach the Ollama server at 127.0.0.1:11434 (host.docker.internal:11434) inside the container . Use the `--network=host` flag in your docker command to resolve this. Note that the port changes from 3000 to 8080, resulting in the link: `http://localhost:8080`.
@@ -146,14 +140,6 @@ If you're experiencing connection issues, it’s often due to the WebUI docker c
 docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_BASE_URL=http://127.0.0.1:11434 --name open-webui --restart always ghcr.io/open-webui/open-webui:main
 ```
 
-### Other Installation Methods
-
-We offer various installation alternatives, including non-Docker methods, Docker Compose, Kustomize, and Helm. Visit our [Open WebUI Documentation](https://docs.openwebui.com/getting-started/) or join our [Discord community](https://discord.gg/5rJgQTnV4s) for comprehensive guidance.
-
-### Troubleshooting
-
-Encountering connection issues? Our [Open WebUI Documentation](https://docs.openwebui.com/getting-started/troubleshooting/) has got you covered. For further assistance and to join our vibrant community, visit the [Open WebUI Discord](https://discord.gg/5rJgQTnV4s).
-
 ### Keeping Your Docker Installation Up-to-Date
 
 In case you want to update your local Docker installation to the latest version, you can do it with [Watchtower](https://containrrr.dev/watchtower/):
@@ -164,10 +150,19 @@ docker run --rm --volume /var/run/docker.sock:/var/run/docker.sock containrrr/wa
 
 In the last part of the command, replace `open-webui` with your container name if it is different.
 
-### Moving from Ollama WebUI to Open WebUI
-
 Check our Migration Guide available in our [Open WebUI Documentation](https://docs.openwebui.com/migration/).
 
+### Using the Dev Branch 🌙
+
+> [!WARNING]
+> The `:dev` branch contains the latest unstable features and changes. Use it at your own risk as it may have bugs or incomplete features.
+
+If you want to try out the latest bleeding-edge features and are okay with occasional instability, you can use the `:dev` tag like this:
+
+```bash
+docker run -d -p 3000:8080 -v open-webui:/app/backend/data --name open-webui --add-host=host.docker.internal:host-gateway --restart always ghcr.io/open-webui/open-webui:dev
+```
+
 ## What's Next? 🌟
 
 Discover upcoming features on our roadmap in the [Open WebUI Documentation](https://docs.openwebui.com/roadmap/).

TROUBLESHOOTING.md

@@ -18,6 +18,10 @@ If you're experiencing connection issues, it’s often due to the WebUI docker c
 docker run -d --network=host -v open-webui:/app/backend/data -e OLLAMA_BASE_URL=http://127.0.0.1:11434 --name open-webui --restart always ghcr.io/open-webui/open-webui:main
 ```
 
+### Error on Slow Reponses for Ollama
+
+Open WebUI has a default timeout of 5 minutes for Ollama to finish generating the response. If needed, this can be adjusted via the environment variable AIOHTTP_CLIENT_TIMEOUT, which sets the timeout in seconds.
+
 ### General Connection Errors
 
 **Ensure Ollama Version is Up-to-Date**: Always start by checking that you have the latest version of Ollama. Visit [Ollama's official site](https://ollama.com/) for the latest updates.

backend/.gitignore

@@ -8,9 +8,5 @@ _test
 Pipfile
 !/data
 /data/*
-!/data/litellm
-/data/litellm/*
-!data/litellm/config.yaml
-
-!data/config.json
+/open_webui/data/*
 .webui_secret_key

backend/apps/audio/main.py

@@ -1,213 +0,0 @@
-import os
-import logging
-from fastapi import (
-    FastAPI,
-    Request,
-    Depends,
-    HTTPException,
-    status,
-    UploadFile,
-    File,
-    Form,
-)
-
-from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
-
-from fastapi.middleware.cors import CORSMiddleware
-from faster_whisper import WhisperModel
-from pydantic import BaseModel
-
-
-import requests
-import hashlib
-from pathlib import Path
-import json
-
-
-from constants import ERROR_MESSAGES
-from utils.utils import (
-    decode_token,
-    get_current_user,
-    get_verified_user,
-    get_admin_user,
-)
-from utils.misc import calculate_sha256
-
-from config import (
-    SRC_LOG_LEVELS,
-    CACHE_DIR,
-    UPLOAD_DIR,
-    WHISPER_MODEL,
-    WHISPER_MODEL_DIR,
-    WHISPER_MODEL_AUTO_UPDATE,
-    DEVICE_TYPE,
-    AUDIO_OPENAI_API_BASE_URL,
-    AUDIO_OPENAI_API_KEY,
-)
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["AUDIO"])
-
-app = FastAPI()
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-app.state.OPENAI_API_BASE_URL = AUDIO_OPENAI_API_BASE_URL
-app.state.OPENAI_API_KEY = AUDIO_OPENAI_API_KEY
-
-# setting device type for whisper model
-whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
-log.info(f"whisper_device_type: {whisper_device_type}")
-
-SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
-SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
-
-
-class OpenAIConfigUpdateForm(BaseModel):
-    url: str
-    key: str
-
-
-@app.get("/config")
-async def get_openai_config(user=Depends(get_admin_user)):
-    return {
-        "OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL,
-        "OPENAI_API_KEY": app.state.OPENAI_API_KEY,
-    }
-
-
-@app.post("/config/update")
-async def update_openai_config(
-    form_data: OpenAIConfigUpdateForm, user=Depends(get_admin_user)
-):
-    if form_data.key == "":
-        raise HTTPException(status_code=400, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
-
-    app.state.OPENAI_API_BASE_URL = form_data.url
-    app.state.OPENAI_API_KEY = form_data.key
-
-    return {
-        "status": True,
-        "OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL,
-        "OPENAI_API_KEY": app.state.OPENAI_API_KEY,
-    }
-
-
-@app.post("/speech")
-async def speech(request: Request, user=Depends(get_verified_user)):
-    body = await request.body()
-    name = hashlib.sha256(body).hexdigest()
-
-    file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
-    file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
-
-    # Check if the file already exists in the cache
-    if file_path.is_file():
-        return FileResponse(file_path)
-
-    headers = {}
-    headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
-    headers["Content-Type"] = "application/json"
-
-    r = None
-    try:
-        r = requests.post(
-            url=f"{app.state.OPENAI_API_BASE_URL}/audio/speech",
-            data=body,
-            headers=headers,
-            stream=True,
-        )
-
-        r.raise_for_status()
-
-        # Save the streaming content to a file
-        with open(file_path, "wb") as f:
-            for chunk in r.iter_content(chunk_size=8192):
-                f.write(chunk)
-
-        with open(file_body_path, "w") as f:
-            json.dump(json.loads(body.decode("utf-8")), f)
-
-        # Return the saved file
-        return FileResponse(file_path)
-
-    except Exception as e:
-        log.exception(e)
-        error_detail = "Open WebUI: Server Connection Error"
-        if r is not None:
-            try:
-                res = r.json()
-                if "error" in res:
-                    error_detail = f"External: {res['error']['message']}"
-            except:
-                error_detail = f"External: {e}"
-
-        raise HTTPException(
-            status_code=r.status_code if r != None else 500,
-            detail=error_detail,
-        )
-
-
-@app.post("/transcriptions")
-def transcribe(
-    file: UploadFile = File(...),
-    user=Depends(get_current_user),
-):
-    log.info(f"file.content_type: {file.content_type}")
-
-    if file.content_type not in ["audio/mpeg", "audio/wav"]:
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED,
-        )
-
-    try:
-        filename = file.filename
-        file_path = f"{UPLOAD_DIR}/{filename}"
-        contents = file.file.read()
-        with open(file_path, "wb") as f:
-            f.write(contents)
-            f.close()
-
-        whisper_kwargs = {
-            "model_size_or_path": WHISPER_MODEL,
-            "device": whisper_device_type,
-            "compute_type": "int8",
-            "download_root": WHISPER_MODEL_DIR,
-            "local_files_only": not WHISPER_MODEL_AUTO_UPDATE,
-        }
-
-        log.debug(f"whisper_kwargs: {whisper_kwargs}")
-
-        try:
-            model = WhisperModel(**whisper_kwargs)
-        except:
-            log.warning(
-                "WhisperModel initialization failed, attempting download with local_files_only=False"
-            )
-            whisper_kwargs["local_files_only"] = False
-            model = WhisperModel(**whisper_kwargs)
-
-        segments, info = model.transcribe(file_path, beam_size=5)
-        log.info(
-            "Detected language '%s' with probability %f"
-            % (info.language, info.language_probability)
-        )
-
-        transcript = "".join([segment.text for segment in list(segments)])
-
-        return {"text": transcript.strip()}
-
-    except Exception as e:
-        log.exception(e)
-
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=ERROR_MESSAGES.DEFAULT(e),
-        )

backend/apps/images/main.py

@@ -1,475 +0,0 @@
-import re
-import requests
-from fastapi import (
-    FastAPI,
-    Request,
-    Depends,
-    HTTPException,
-    status,
-    UploadFile,
-    File,
-    Form,
-)
-from fastapi.middleware.cors import CORSMiddleware
-from faster_whisper import WhisperModel
-
-from constants import ERROR_MESSAGES
-from utils.utils import (
-    get_current_user,
-    get_admin_user,
-)
-
-from apps.images.utils.comfyui import ImageGenerationPayload, comfyui_generate_image
-from utils.misc import calculate_sha256
-from typing import Optional
-from pydantic import BaseModel
-from pathlib import Path
-import uuid
-import base64
-import json
-import logging
-
-from config import (
-    SRC_LOG_LEVELS,
-    CACHE_DIR,
-    ENABLE_IMAGE_GENERATION,
-    AUTOMATIC1111_BASE_URL,
-    COMFYUI_BASE_URL,
-    IMAGES_OPENAI_API_BASE_URL,
-    IMAGES_OPENAI_API_KEY,
-)
-
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["IMAGES"])
-
-IMAGE_CACHE_DIR = Path(CACHE_DIR).joinpath("./image/generations/")
-IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True)
-
-app = FastAPI()
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-app.state.ENGINE = ""
-app.state.ENABLED = ENABLE_IMAGE_GENERATION
-
-app.state.OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL
-app.state.OPENAI_API_KEY = IMAGES_OPENAI_API_KEY
-
-app.state.MODEL = ""
-
-
-app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
-app.state.COMFYUI_BASE_URL = COMFYUI_BASE_URL
-
-
-app.state.IMAGE_SIZE = "512x512"
-app.state.IMAGE_STEPS = 50
-
-
-@app.get("/config")
-async def get_config(request: Request, user=Depends(get_admin_user)):
-    return {"engine": app.state.ENGINE, "enabled": app.state.ENABLED}
-
-
-class ConfigUpdateForm(BaseModel):
-    engine: str
-    enabled: bool
-
-
-@app.post("/config/update")
-async def update_config(form_data: ConfigUpdateForm, user=Depends(get_admin_user)):
-    app.state.ENGINE = form_data.engine
-    app.state.ENABLED = form_data.enabled
-    return {"engine": app.state.ENGINE, "enabled": app.state.ENABLED}
-
-
-class EngineUrlUpdateForm(BaseModel):
-    AUTOMATIC1111_BASE_URL: Optional[str] = None
-    COMFYUI_BASE_URL: Optional[str] = None
-
-
-@app.get("/url")
-async def get_engine_url(user=Depends(get_admin_user)):
-    return {
-        "AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL,
-        "COMFYUI_BASE_URL": app.state.COMFYUI_BASE_URL,
-    }
-
-
-@app.post("/url/update")
-async def update_engine_url(
-    form_data: EngineUrlUpdateForm, user=Depends(get_admin_user)
-):
-
-    if form_data.AUTOMATIC1111_BASE_URL == None:
-        app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
-    else:
-        url = form_data.AUTOMATIC1111_BASE_URL.strip("/")
-        try:
-            r = requests.head(url)
-            app.state.AUTOMATIC1111_BASE_URL = url
-        except Exception as e:
-            raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
-
-    if form_data.COMFYUI_BASE_URL == None:
-        app.state.COMFYUI_BASE_URL = COMFYUI_BASE_URL
-    else:
-        url = form_data.COMFYUI_BASE_URL.strip("/")
-
-        try:
-            r = requests.head(url)
-            app.state.COMFYUI_BASE_URL = url
-        except Exception as e:
-            raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
-
-    return {
-        "AUTOMATIC1111_BASE_URL": app.state.AUTOMATIC1111_BASE_URL,
-        "COMFYUI_BASE_URL": app.state.COMFYUI_BASE_URL,
-        "status": True,
-    }
-
-
-class OpenAIConfigUpdateForm(BaseModel):
-    url: str
-    key: str
-
-
-@app.get("/openai/config")
-async def get_openai_config(user=Depends(get_admin_user)):
-    return {
-        "OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL,
-        "OPENAI_API_KEY": app.state.OPENAI_API_KEY,
-    }
-
-
-@app.post("/openai/config/update")
-async def update_openai_config(
-    form_data: OpenAIConfigUpdateForm, user=Depends(get_admin_user)
-):
-    if form_data.key == "":
-        raise HTTPException(status_code=400, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
-
-    app.state.OPENAI_API_BASE_URL = form_data.url
-    app.state.OPENAI_API_KEY = form_data.key
-
-    return {
-        "status": True,
-        "OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL,
-        "OPENAI_API_KEY": app.state.OPENAI_API_KEY,
-    }
-
-
-class ImageSizeUpdateForm(BaseModel):
-    size: str
-
-
-@app.get("/size")
-async def get_image_size(user=Depends(get_admin_user)):
-    return {"IMAGE_SIZE": app.state.IMAGE_SIZE}
-
-
-@app.post("/size/update")
-async def update_image_size(
-    form_data: ImageSizeUpdateForm, user=Depends(get_admin_user)
-):
-    pattern = r"^\d+x\d+$"  # Regular expression pattern
-    if re.match(pattern, form_data.size):
-        app.state.IMAGE_SIZE = form_data.size
-        return {
-            "IMAGE_SIZE": app.state.IMAGE_SIZE,
-            "status": True,
-        }
-    else:
-        raise HTTPException(
-            status_code=400,
-            detail=ERROR_MESSAGES.INCORRECT_FORMAT("  (e.g., 512x512)."),
-        )
-
-
-class ImageStepsUpdateForm(BaseModel):
-    steps: int
-
-
-@app.get("/steps")
-async def get_image_size(user=Depends(get_admin_user)):
-    return {"IMAGE_STEPS": app.state.IMAGE_STEPS}
-
-
-@app.post("/steps/update")
-async def update_image_size(
-    form_data: ImageStepsUpdateForm, user=Depends(get_admin_user)
-):
-    if form_data.steps >= 0:
-        app.state.IMAGE_STEPS = form_data.steps
-        return {
-            "IMAGE_STEPS": app.state.IMAGE_STEPS,
-            "status": True,
-        }
-    else:
-        raise HTTPException(
-            status_code=400,
-            detail=ERROR_MESSAGES.INCORRECT_FORMAT("  (e.g., 50)."),
-        )
-
-
-@app.get("/models")
-def get_models(user=Depends(get_current_user)):
-    try:
-        if app.state.ENGINE == "openai":
-            return [
-                {"id": "dall-e-2", "name": "DALL·E 2"},
-                {"id": "dall-e-3", "name": "DALL·E 3"},
-            ]
-        elif app.state.ENGINE == "comfyui":
-
-            r = requests.get(url=f"{app.state.COMFYUI_BASE_URL}/object_info")
-            info = r.json()
-
-            return list(
-                map(
-                    lambda model: {"id": model, "name": model},
-                    info["CheckpointLoaderSimple"]["input"]["required"]["ckpt_name"][0],
-                )
-            )
-
-        else:
-            r = requests.get(
-                url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models"
-            )
-            models = r.json()
-            return list(
-                map(
-                    lambda model: {"id": model["title"], "name": model["model_name"]},
-                    models,
-                )
-            )
-    except Exception as e:
-        app.state.ENABLED = False
-        raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
-
-
-@app.get("/models/default")
-async def get_default_model(user=Depends(get_admin_user)):
-    try:
-        if app.state.ENGINE == "openai":
-            return {"model": app.state.MODEL if app.state.MODEL else "dall-e-2"}
-        elif app.state.ENGINE == "comfyui":
-            return {"model": app.state.MODEL if app.state.MODEL else ""}
-        else:
-            r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
-            options = r.json()
-            return {"model": options["sd_model_checkpoint"]}
-    except Exception as e:
-        app.state.ENABLED = False
-        raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
-
-
-class UpdateModelForm(BaseModel):
-    model: str
-
-
-def set_model_handler(model: str):
-    if app.state.ENGINE == "openai":
-        app.state.MODEL = model
-        return app.state.MODEL
-    if app.state.ENGINE == "comfyui":
-        app.state.MODEL = model
-        return app.state.MODEL
-    else:
-        r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
-        options = r.json()
-
-        if model != options["sd_model_checkpoint"]:
-            options["sd_model_checkpoint"] = model
-            r = requests.post(
-                url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options", json=options
-            )
-
-        return options
-
-
-@app.post("/models/default/update")
-def update_default_model(
-    form_data: UpdateModelForm,
-    user=Depends(get_current_user),
-):
-    return set_model_handler(form_data.model)
-
-
-class GenerateImageForm(BaseModel):
-    model: Optional[str] = None
-    prompt: str
-    n: int = 1
-    size: Optional[str] = None
-    negative_prompt: Optional[str] = None
-
-
-def save_b64_image(b64_str):
-    image_id = str(uuid.uuid4())
-    file_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.png")
-
-    try:
-        # Split the base64 string to get the actual image data
-        img_data = base64.b64decode(b64_str)
-
-        # Write the image data to a file
-        with open(file_path, "wb") as f:
-            f.write(img_data)
-
-        return image_id
-    except Exception as e:
-        log.error(f"Error saving image: {e}")
-        return None
-
-
-def save_url_image(url):
-    image_id = str(uuid.uuid4())
-    file_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.png")
-
-    try:
-        r = requests.get(url)
-        r.raise_for_status()
-
-        with open(file_path, "wb") as image_file:
-            image_file.write(r.content)
-
-        return image_id
-    except Exception as e:
-        log.exception(f"Error saving image: {e}")
-        return None
-
-
-@app.post("/generations")
-def generate_image(
-    form_data: GenerateImageForm,
-    user=Depends(get_current_user),
-):
-
-    width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
-
-    r = None
-    try:
-        if app.state.ENGINE == "openai":
-
-            headers = {}
-            headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
-            headers["Content-Type"] = "application/json"
-
-            data = {
-                "model": app.state.MODEL if app.state.MODEL != "" else "dall-e-2",
-                "prompt": form_data.prompt,
-                "n": form_data.n,
-                "size": form_data.size if form_data.size else app.state.IMAGE_SIZE,
-                "response_format": "b64_json",
-            }
-
-            r = requests.post(
-                url=f"{app.state.OPENAI_API_BASE_URL}/images/generations",
-                json=data,
-                headers=headers,
-            )
-
-            r.raise_for_status()
-            res = r.json()
-
-            images = []
-
-            for image in res["data"]:
-                image_id = save_b64_image(image["b64_json"])
-                images.append({"url": f"/cache/image/generations/{image_id}.png"})
-                file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.json")
-
-                with open(file_body_path, "w") as f:
-                    json.dump(data, f)
-
-            return images
-
-        elif app.state.ENGINE == "comfyui":
-
-            data = {
-                "prompt": form_data.prompt,
-                "width": width,
-                "height": height,
-                "n": form_data.n,
-            }
-
-            if app.state.IMAGE_STEPS != None:
-                data["steps"] = app.state.IMAGE_STEPS
-
-            if form_data.negative_prompt != None:
-                data["negative_prompt"] = form_data.negative_prompt
-
-            data = ImageGenerationPayload(**data)
-
-            res = comfyui_generate_image(
-                app.state.MODEL,
-                data,
-                user.id,
-                app.state.COMFYUI_BASE_URL,
-            )
-            log.debug(f"res: {res}")
-
-            images = []
-
-            for image in res["data"]:
-                image_id = save_url_image(image["url"])
-                images.append({"url": f"/cache/image/generations/{image_id}.png"})
-                file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.json")
-
-                with open(file_body_path, "w") as f:
-                    json.dump(data.model_dump(exclude_none=True), f)
-
-            log.debug(f"images: {images}")
-            return images
-        else:
-            if form_data.model:
-                set_model_handler(form_data.model)
-
-            data = {
-                "prompt": form_data.prompt,
-                "batch_size": form_data.n,
-                "width": width,
-                "height": height,
-            }
-
-            if app.state.IMAGE_STEPS != None:
-                data["steps"] = app.state.IMAGE_STEPS
-
-            if form_data.negative_prompt != None:
-                data["negative_prompt"] = form_data.negative_prompt
-
-            r = requests.post(
-                url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img",
-                json=data,
-            )
-
-            res = r.json()
-
-            log.debug(f"res: {res}")
-
-            images = []
-
-            for image in res["images"]:
-                image_id = save_b64_image(image)
-                images.append({"url": f"/cache/image/generations/{image_id}.png"})
-                file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_id}.json")
-
-                with open(file_body_path, "w") as f:
-                    json.dump({**data, "info": res["info"]}, f)
-
-            return images
-
-    except Exception as e:
-        error = e
-
-        if r != None:
-            data = r.json()
-            if "error" in data:
-                error = data["error"]["message"]
-        raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(error))

backend/apps/images/utils/comfyui.py

@@ -1,234 +0,0 @@
-import websocket  # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
-import uuid
-import json
-import urllib.request
-import urllib.parse
-import random
-import logging
-
-from config import SRC_LOG_LEVELS
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["COMFYUI"])
-
-from pydantic import BaseModel
-
-from typing import Optional
-
-COMFYUI_DEFAULT_PROMPT = """
-{
-  "3": {
-    "inputs": {
-      "seed": 0,
-      "steps": 20,
-      "cfg": 8,
-      "sampler_name": "euler",
-      "scheduler": "normal",
-      "denoise": 1,
-      "model": [
-        "4",
-        0
-      ],
-      "positive": [
-        "6",
-        0
-      ],
-      "negative": [
-        "7",
-        0
-      ],
-      "latent_image": [
-        "5",
-        0
-      ]
-    },
-    "class_type": "KSampler",
-    "_meta": {
-      "title": "KSampler"
-    }
-  },
-  "4": {
-    "inputs": {
-      "ckpt_name": "model.safetensors"
-    },
-    "class_type": "CheckpointLoaderSimple",
-    "_meta": {
-      "title": "Load Checkpoint"
-    }
-  },
-  "5": {
-    "inputs": {
-      "width": 512,
-      "height": 512,
-      "batch_size": 1
-    },
-    "class_type": "EmptyLatentImage",
-    "_meta": {
-      "title": "Empty Latent Image"
-    }
-  },
-  "6": {
-    "inputs": {
-      "text": "Prompt",
-      "clip": [
-        "4",
-        1
-      ]
-    },
-    "class_type": "CLIPTextEncode",
-    "_meta": {
-      "title": "CLIP Text Encode (Prompt)"
-    }
-  },
-  "7": {
-    "inputs": {
-      "text": "Negative Prompt",
-      "clip": [
-        "4",
-        1
-      ]
-    },
-    "class_type": "CLIPTextEncode",
-    "_meta": {
-      "title": "CLIP Text Encode (Prompt)"
-    }
-  },
-  "8": {
-    "inputs": {
-      "samples": [
-        "3",
-        0
-      ],
-      "vae": [
-        "4",
-        2
-      ]
-    },
-    "class_type": "VAEDecode",
-    "_meta": {
-      "title": "VAE Decode"
-    }
-  },
-  "9": {
-    "inputs": {
-      "filename_prefix": "ComfyUI",
-      "images": [
-        "8",
-        0
-      ]
-    },
-    "class_type": "SaveImage",
-    "_meta": {
-      "title": "Save Image"
-    }
-  }
-}
-"""
-
-
-def queue_prompt(prompt, client_id, base_url):
-    log.info("queue_prompt")
-    p = {"prompt": prompt, "client_id": client_id}
-    data = json.dumps(p).encode("utf-8")
-    req = urllib.request.Request(f"{base_url}/prompt", data=data)
-    return json.loads(urllib.request.urlopen(req).read())
-
-
-def get_image(filename, subfolder, folder_type, base_url):
-    log.info("get_image")
-    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
-    url_values = urllib.parse.urlencode(data)
-    with urllib.request.urlopen(f"{base_url}/view?{url_values}") as response:
-        return response.read()
-
-
-def get_image_url(filename, subfolder, folder_type, base_url):
-    log.info("get_image")
-    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
-    url_values = urllib.parse.urlencode(data)
-    return f"{base_url}/view?{url_values}"
-
-
-def get_history(prompt_id, base_url):
-    log.info("get_history")
-    with urllib.request.urlopen(f"{base_url}/history/{prompt_id}") as response:
-        return json.loads(response.read())
-
-
-def get_images(ws, prompt, client_id, base_url):
-    prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"]
-    output_images = []
-    while True:
-        out = ws.recv()
-        if isinstance(out, str):
-            message = json.loads(out)
-            if message["type"] == "executing":
-                data = message["data"]
-                if data["node"] is None and data["prompt_id"] == prompt_id:
-                    break  # Execution is done
-        else:
-            continue  # previews are binary data
-
-    history = get_history(prompt_id, base_url)[prompt_id]
-    for o in history["outputs"]:
-        for node_id in history["outputs"]:
-            node_output = history["outputs"][node_id]
-            if "images" in node_output:
-                for image in node_output["images"]:
-                    url = get_image_url(
-                        image["filename"], image["subfolder"], image["type"], base_url
-                    )
-                    output_images.append({"url": url})
-    return {"data": output_images}
-
-
-class ImageGenerationPayload(BaseModel):
-    prompt: str
-    negative_prompt: Optional[str] = ""
-    steps: Optional[int] = None
-    seed: Optional[int] = None
-    width: int
-    height: int
-    n: int = 1
-
-
-def comfyui_generate_image(
-    model: str, payload: ImageGenerationPayload, client_id, base_url
-):
-    ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
-
-    comfyui_prompt = json.loads(COMFYUI_DEFAULT_PROMPT)
-
-    comfyui_prompt["4"]["inputs"]["ckpt_name"] = model
-    comfyui_prompt["5"]["inputs"]["batch_size"] = payload.n
-    comfyui_prompt["5"]["inputs"]["width"] = payload.width
-    comfyui_prompt["5"]["inputs"]["height"] = payload.height
-
-    # set the text prompt for our positive CLIPTextEncode
-    comfyui_prompt["6"]["inputs"]["text"] = payload.prompt
-    comfyui_prompt["7"]["inputs"]["text"] = payload.negative_prompt
-
-    if payload.steps:
-        comfyui_prompt["3"]["inputs"]["steps"] = payload.steps
-
-    comfyui_prompt["3"]["inputs"]["seed"] = (
-        payload.seed if payload.seed else random.randint(0, 18446744073709551614)
-    )
-
-    try:
-        ws = websocket.WebSocket()
-        ws.connect(f"{ws_url}/ws?clientId={client_id}")
-        log.info("WebSocket connection established.")
-    except Exception as e:
-        log.exception(f"Failed to connect to WebSocket server: {e}")
-        return None
-
-    try:
-        images = get_images(ws, comfyui_prompt, client_id, base_url)
-    except Exception as e:
-        log.exception(f"Error while receiving images: {e}")
-        images = None
-
-    ws.close()
-
-    return images

backend/apps/litellm/main.py

@@ -1,351 +0,0 @@
-import sys
-
-from fastapi import FastAPI, Depends, HTTPException
-from fastapi.routing import APIRoute
-from fastapi.middleware.cors import CORSMiddleware
-
-import logging
-from fastapi import FastAPI, Request, Depends, status, Response
-from fastapi.responses import JSONResponse
-
-from starlette.middleware.base import BaseHTTPMiddleware, RequestResponseEndpoint
-from starlette.responses import StreamingResponse
-import json
-import time
-import requests
-
-from pydantic import BaseModel, ConfigDict
-from typing import Optional, List
-
-from utils.utils import get_verified_user, get_current_user, get_admin_user
-from config import SRC_LOG_LEVELS, ENV
-from constants import MESSAGES
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["LITELLM"])
-
-
-from config import (
-    MODEL_FILTER_ENABLED,
-    MODEL_FILTER_LIST,
-    DATA_DIR,
-    LITELLM_PROXY_PORT,
-    LITELLM_PROXY_HOST,
-)
-
-from litellm.utils import get_llm_provider
-
-import asyncio
-import subprocess
-import yaml
-
-app = FastAPI()
-
-origins = ["*"]
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-LITELLM_CONFIG_DIR = f"{DATA_DIR}/litellm/config.yaml"
-
-with open(LITELLM_CONFIG_DIR, "r") as file:
-    litellm_config = yaml.safe_load(file)
-
-app.state.CONFIG = litellm_config
-
-# Global variable to store the subprocess reference
-background_process = None
-
-
-async def run_background_process(command):
-    global background_process
-    log.info("run_background_process")
-
-    try:
-        # Log the command to be executed
-        log.info(f"Executing command: {command}")
-        # Execute the command and create a subprocess
-        process = await asyncio.create_subprocess_exec(
-            *command, stdout=subprocess.PIPE, stderr=subprocess.PIPE
-        )
-        background_process = process
-        log.info("Subprocess started successfully.")
-
-        # Capture STDERR for debugging purposes
-        stderr_output = await process.stderr.read()
-        stderr_text = stderr_output.decode().strip()
-        if stderr_text:
-            log.info(f"Subprocess STDERR: {stderr_text}")
-
-        # log.info output line by line
-        async for line in process.stdout:
-            log.info(line.decode().strip())
-
-        # Wait for the process to finish
-        returncode = await process.wait()
-        log.info(f"Subprocess exited with return code {returncode}")
-    except Exception as e:
-        log.error(f"Failed to start subprocess: {e}")
-        raise  # Optionally re-raise the exception if you want it to propagate
-
-
-async def start_litellm_background():
-    log.info("start_litellm_background")
-    # Command to run in the background
-    command = [
-        "litellm",
-        "--port",
-        str(LITELLM_PROXY_PORT),
-        "--host",
-        LITELLM_PROXY_HOST,
-        "--telemetry",
-        "False",
-        "--config",
-        LITELLM_CONFIG_DIR,
-    ]
-
-    await run_background_process(command)
-
-
-async def shutdown_litellm_background():
-    log.info("shutdown_litellm_background")
-    global background_process
-    if background_process:
-        background_process.terminate()
-        await background_process.wait()  # Ensure the process has terminated
-        log.info("Subprocess terminated")
-        background_process = None
-
-
-@app.on_event("startup")
-async def startup_event():
-    log.info("startup_event")
-    # TODO: Check config.yaml file and create one
-    asyncio.create_task(start_litellm_background())
-
-
-app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
-app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
-
-
-@app.get("/")
-async def get_status():
-    return {"status": True}
-
-
-async def restart_litellm():
-    """
-    Endpoint to restart the litellm background service.
-    """
-    log.info("Requested restart of litellm service.")
-    try:
-        # Shut down the existing process if it is running
-        await shutdown_litellm_background()
-        log.info("litellm service shutdown complete.")
-
-        # Restart the background service
-
-        asyncio.create_task(start_litellm_background())
-        log.info("litellm service restart complete.")
-
-        return {
-            "status": "success",
-            "message": "litellm service restarted successfully.",
-        }
-    except Exception as e:
-        log.info(f"Error restarting litellm service: {e}")
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
-        )
-
-
-@app.get("/restart")
-async def restart_litellm_handler(user=Depends(get_admin_user)):
-    return await restart_litellm()
-
-
-@app.get("/config")
-async def get_config(user=Depends(get_admin_user)):
-    return app.state.CONFIG
-
-
-class LiteLLMConfigForm(BaseModel):
-    general_settings: Optional[dict] = None
-    litellm_settings: Optional[dict] = None
-    model_list: Optional[List[dict]] = None
-    router_settings: Optional[dict] = None
-
-    model_config = ConfigDict(protected_namespaces=())
-
-
-@app.post("/config/update")
-async def update_config(form_data: LiteLLMConfigForm, user=Depends(get_admin_user)):
-    app.state.CONFIG = form_data.model_dump(exclude_none=True)
-
-    with open(LITELLM_CONFIG_DIR, "w") as file:
-        yaml.dump(app.state.CONFIG, file)
-
-    await restart_litellm()
-    return app.state.CONFIG
-
-
-@app.get("/models")
-@app.get("/v1/models")
-async def get_models(user=Depends(get_current_user)):
-    while not background_process:
-        await asyncio.sleep(0.1)
-
-    url = f"http://localhost:{LITELLM_PROXY_PORT}/v1"
-    r = None
-    try:
-        r = requests.request(method="GET", url=f"{url}/models")
-        r.raise_for_status()
-
-        data = r.json()
-
-        if app.state.MODEL_FILTER_ENABLED:
-            if user and user.role == "user":
-                data["data"] = list(
-                    filter(
-                        lambda model: model["id"] in app.state.MODEL_FILTER_LIST,
-                        data["data"],
-                    )
-                )
-
-        return data
-    except Exception as e:
-
-        log.exception(e)
-        error_detail = "Open WebUI: Server Connection Error"
-        if r is not None:
-            try:
-                res = r.json()
-                if "error" in res:
-                    error_detail = f"External: {res['error']}"
-            except:
-                error_detail = f"External: {e}"
-
-        return {
-            "data": [
-                {
-                    "id": model["model_name"],
-                    "object": "model",
-                    "created": int(time.time()),
-                    "owned_by": "openai",
-                }
-                for model in app.state.CONFIG["model_list"]
-            ],
-            "object": "list",
-        }
-
-
-@app.get("/model/info")
-async def get_model_list(user=Depends(get_admin_user)):
-    return {"data": app.state.CONFIG["model_list"]}
-
-
-class AddLiteLLMModelForm(BaseModel):
-    model_name: str
-    litellm_params: dict
-
-    model_config = ConfigDict(protected_namespaces=())
-
-
-@app.post("/model/new")
-async def add_model_to_config(
-    form_data: AddLiteLLMModelForm, user=Depends(get_admin_user)
-):
-    try:
-        get_llm_provider(model=form_data.model_name)
-        app.state.CONFIG["model_list"].append(form_data.model_dump())
-
-        with open(LITELLM_CONFIG_DIR, "w") as file:
-            yaml.dump(app.state.CONFIG, file)
-
-        await restart_litellm()
-
-        return {"message": MESSAGES.MODEL_ADDED(form_data.model_name)}
-    except Exception as e:
-        print(e)
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(e)
-        )
-
-
-class DeleteLiteLLMModelForm(BaseModel):
-    id: str
-
-
-@app.post("/model/delete")
-async def delete_model_from_config(
-    form_data: DeleteLiteLLMModelForm, user=Depends(get_admin_user)
-):
-    app.state.CONFIG["model_list"] = [
-        model
-        for model in app.state.CONFIG["model_list"]
-        if model["model_name"] != form_data.id
-    ]
-
-    with open(LITELLM_CONFIG_DIR, "w") as file:
-        yaml.dump(app.state.CONFIG, file)
-
-    await restart_litellm()
-
-    return {"message": MESSAGES.MODEL_DELETED(form_data.id)}
-
-
-@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
-async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
-    body = await request.body()
-
-    url = f"http://localhost:{LITELLM_PROXY_PORT}"
-
-    target_url = f"{url}/{path}"
-
-    headers = {}
-    # headers["Authorization"] = f"Bearer {key}"
-    headers["Content-Type"] = "application/json"
-
-    r = None
-
-    try:
-        r = requests.request(
-            method=request.method,
-            url=target_url,
-            data=body,
-            headers=headers,
-            stream=True,
-        )
-
-        r.raise_for_status()
-
-        # Check if response is SSE
-        if "text/event-stream" in r.headers.get("Content-Type", ""):
-            return StreamingResponse(
-                r.iter_content(chunk_size=8192),
-                status_code=r.status_code,
-                headers=dict(r.headers),
-            )
-        else:
-            response_data = r.json()
-            return response_data
-    except Exception as e:
-        log.exception(e)
-        error_detail = "Open WebUI: Server Connection Error"
-        if r is not None:
-            try:
-                res = r.json()
-                if "error" in res:
-                    error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}"
-            except:
-                error_detail = f"External: {e}"
-
-        raise HTTPException(
-            status_code=r.status_code if r else 500, detail=error_detail
-        )

backend/apps/openai/main.py

@@ -1,351 +0,0 @@
-from fastapi import FastAPI, Request, Response, HTTPException, Depends
-from fastapi.middleware.cors import CORSMiddleware
-from fastapi.responses import StreamingResponse, JSONResponse, FileResponse
-
-import requests
-import aiohttp
-import asyncio
-import json
-import logging
-
-from pydantic import BaseModel
-
-
-from apps.web.models.users import Users
-from constants import ERROR_MESSAGES
-from utils.utils import (
-    decode_token,
-    get_current_user,
-    get_verified_user,
-    get_admin_user,
-)
-from config import (
-    SRC_LOG_LEVELS,
-    OPENAI_API_BASE_URLS,
-    OPENAI_API_KEYS,
-    CACHE_DIR,
-    MODEL_FILTER_ENABLED,
-    MODEL_FILTER_LIST,
-)
-from typing import List, Optional
-
-
-import hashlib
-from pathlib import Path
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["OPENAI"])
-
-app = FastAPI()
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=["*"],
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
-app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
-
-app.state.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
-app.state.OPENAI_API_KEYS = OPENAI_API_KEYS
-
-app.state.MODELS = {}
-
-
-@app.middleware("http")
-async def check_url(request: Request, call_next):
-    if len(app.state.MODELS) == 0:
-        await get_all_models()
-    else:
-        pass
-
-    response = await call_next(request)
-    return response
-
-
-class UrlsUpdateForm(BaseModel):
-    urls: List[str]
-
-
-class KeysUpdateForm(BaseModel):
-    keys: List[str]
-
-
-@app.get("/urls")
-async def get_openai_urls(user=Depends(get_admin_user)):
-    return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
-
-
-@app.post("/urls/update")
-async def update_openai_urls(form_data: UrlsUpdateForm, user=Depends(get_admin_user)):
-    await get_all_models()
-    app.state.OPENAI_API_BASE_URLS = form_data.urls
-    return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
-
-
-@app.get("/keys")
-async def get_openai_keys(user=Depends(get_admin_user)):
-    return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
-
-
-@app.post("/keys/update")
-async def update_openai_key(form_data: KeysUpdateForm, user=Depends(get_admin_user)):
-    app.state.OPENAI_API_KEYS = form_data.keys
-    return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
-
-
-@app.post("/audio/speech")
-async def speech(request: Request, user=Depends(get_verified_user)):
-    idx = None
-    try:
-        idx = app.state.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
-        body = await request.body()
-        name = hashlib.sha256(body).hexdigest()
-
-        SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
-        SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
-        file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
-        file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
-
-        # Check if the file already exists in the cache
-        if file_path.is_file():
-            return FileResponse(file_path)
-
-        headers = {}
-        headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEYS[idx]}"
-        headers["Content-Type"] = "application/json"
-
-        r = None
-        try:
-            r = requests.post(
-                url=f"{app.state.OPENAI_API_BASE_URLS[idx]}/audio/speech",
-                data=body,
-                headers=headers,
-                stream=True,
-            )
-
-            r.raise_for_status()
-
-            # Save the streaming content to a file
-            with open(file_path, "wb") as f:
-                for chunk in r.iter_content(chunk_size=8192):
-                    f.write(chunk)
-
-            with open(file_body_path, "w") as f:
-                json.dump(json.loads(body.decode("utf-8")), f)
-
-            # Return the saved file
-            return FileResponse(file_path)
-
-        except Exception as e:
-            log.exception(e)
-            error_detail = "Open WebUI: Server Connection Error"
-            if r is not None:
-                try:
-                    res = r.json()
-                    if "error" in res:
-                        error_detail = f"External: {res['error']}"
-                except:
-                    error_detail = f"External: {e}"
-
-            raise HTTPException(
-                status_code=r.status_code if r else 500, detail=error_detail
-            )
-
-    except ValueError:
-        raise HTTPException(status_code=401, detail=ERROR_MESSAGES.OPENAI_NOT_FOUND)
-
-
-async def fetch_url(url, key):
-    try:
-        headers = {"Authorization": f"Bearer {key}"}
-        async with aiohttp.ClientSession() as session:
-            async with session.get(url, headers=headers) as response:
-                return await response.json()
-    except Exception as e:
-        # Handle connection error here
-        log.error(f"Connection error: {e}")
-        return None
-
-
-def merge_models_lists(model_lists):
-    merged_list = []
-
-    for idx, models in enumerate(model_lists):
-        if models is not None and "error" not in models:
-            merged_list.extend(
-                [
-                    {**model, "urlIdx": idx}
-                    for model in models
-                    if "api.openai.com" not in app.state.OPENAI_API_BASE_URLS[idx]
-                    or "gpt" in model["id"]
-                ]
-            )
-
-    return merged_list
-
-
-async def get_all_models():
-    log.info("get_all_models()")
-
-    if len(app.state.OPENAI_API_KEYS) == 1 and app.state.OPENAI_API_KEYS[0] == "":
-        models = {"data": []}
-    else:
-        tasks = [
-            fetch_url(f"{url}/models", app.state.OPENAI_API_KEYS[idx])
-            for idx, url in enumerate(app.state.OPENAI_API_BASE_URLS)
-        ]
-
-        responses = await asyncio.gather(*tasks)
-        models = {
-            "data": merge_models_lists(
-                list(
-                    map(
-                        lambda response: (
-                            response["data"]
-                            if response and "data" in response
-                            else None
-                        ),
-                        responses,
-                    )
-                )
-            )
-        }
-
-        log.info(f"models: {models}")
-        app.state.MODELS = {model["id"]: model for model in models["data"]}
-
-        return models
-
-
-@app.get("/models")
-@app.get("/models/{url_idx}")
-async def get_models(url_idx: Optional[int] = None, user=Depends(get_current_user)):
-    if url_idx == None:
-        models = await get_all_models()
-        if app.state.MODEL_FILTER_ENABLED:
-            if user.role == "user":
-                models["data"] = list(
-                    filter(
-                        lambda model: model["id"] in app.state.MODEL_FILTER_LIST,
-                        models["data"],
-                    )
-                )
-                return models
-        return models
-    else:
-        url = app.state.OPENAI_API_BASE_URLS[url_idx]
-
-        r = None
-
-        try:
-            r = requests.request(method="GET", url=f"{url}/models")
-            r.raise_for_status()
-
-            response_data = r.json()
-            if "api.openai.com" in url:
-                response_data["data"] = list(
-                    filter(lambda model: "gpt" in model["id"], response_data["data"])
-                )
-
-            return response_data
-        except Exception as e:
-            log.exception(e)
-            error_detail = "Open WebUI: Server Connection Error"
-            if r is not None:
-                try:
-                    res = r.json()
-                    if "error" in res:
-                        error_detail = f"External: {res['error']}"
-                except:
-                    error_detail = f"External: {e}"
-
-            raise HTTPException(
-                status_code=r.status_code if r else 500,
-                detail=error_detail,
-            )
-
-
-@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
-async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
-    idx = 0
-
-    body = await request.body()
-    # TODO: Remove below after gpt-4-vision fix from Open AI
-    # Try to decode the body of the request from bytes to a UTF-8 string (Require add max_token to fix gpt-4-vision)
-    try:
-        body = body.decode("utf-8")
-        body = json.loads(body)
-
-        idx = app.state.MODELS[body.get("model")]["urlIdx"]
-
-        # Check if the model is "gpt-4-vision-preview" and set "max_tokens" to 4000
-        # This is a workaround until OpenAI fixes the issue with this model
-        if body.get("model") == "gpt-4-vision-preview":
-            if "max_tokens" not in body:
-                body["max_tokens"] = 4000
-            log.debug("Modified body_dict:", body)
-
-        # Fix for ChatGPT calls failing because the num_ctx key is in body
-        if "num_ctx" in body:
-            # If 'num_ctx' is in the dictionary, delete it
-            # Leaving it there generates an error with the
-            # OpenAI API (Feb 2024)
-            del body["num_ctx"]
-
-        # Convert the modified body back to JSON
-        body = json.dumps(body)
-    except json.JSONDecodeError as e:
-        log.error("Error loading request body into a dictionary:", e)
-
-    url = app.state.OPENAI_API_BASE_URLS[idx]
-    key = app.state.OPENAI_API_KEYS[idx]
-
-    target_url = f"{url}/{path}"
-
-    if key == "":
-        raise HTTPException(status_code=401, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)
-
-    headers = {}
-    headers["Authorization"] = f"Bearer {key}"
-    headers["Content-Type"] = "application/json"
-
-    r = None
-
-    try:
-        r = requests.request(
-            method=request.method,
-            url=target_url,
-            data=body,
-            headers=headers,
-            stream=True,
-        )
-
-        r.raise_for_status()
-
-        # Check if response is SSE
-        if "text/event-stream" in r.headers.get("Content-Type", ""):
-            return StreamingResponse(
-                r.iter_content(chunk_size=8192),
-                status_code=r.status_code,
-                headers=dict(r.headers),
-            )
-        else:
-            response_data = r.json()
-            return response_data
-    except Exception as e:
-        log.exception(e)
-        error_detail = "Open WebUI: Server Connection Error"
-        if r is not None:
-            try:
-                res = r.json()
-                if "error" in res:
-                    error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}"
-            except:
-                error_detail = f"External: {e}"
-
-        raise HTTPException(
-            status_code=r.status_code if r else 500, detail=error_detail
-        )

backend/apps/rag/main.py

@@ -1,740 +0,0 @@
-from fastapi import (
-    FastAPI,
-    Depends,
-    HTTPException,
-    status,
-    UploadFile,
-    File,
-    Form,
-)
-from fastapi.middleware.cors import CORSMiddleware
-import os, shutil, logging, re
-
-from pathlib import Path
-from typing import List
-
-from chromadb.utils.batch_utils import create_batches
-
-from langchain_community.document_loaders import (
-    WebBaseLoader,
-    TextLoader,
-    PyPDFLoader,
-    CSVLoader,
-    BSHTMLLoader,
-    Docx2txtLoader,
-    UnstructuredEPubLoader,
-    UnstructuredWordDocumentLoader,
-    UnstructuredMarkdownLoader,
-    UnstructuredXMLLoader,
-    UnstructuredRSTLoader,
-    UnstructuredExcelLoader,
-)
-from langchain.text_splitter import RecursiveCharacterTextSplitter
-
-from pydantic import BaseModel
-from typing import Optional
-import mimetypes
-import uuid
-import json
-
-import sentence_transformers
-
-from apps.ollama.main import generate_ollama_embeddings, GenerateEmbeddingsForm
-
-from apps.web.models.documents import (
-    Documents,
-    DocumentForm,
-    DocumentResponse,
-)
-
-from apps.rag.utils import (
-    query_embeddings_doc,
-    query_embeddings_collection,
-    generate_openai_embeddings,
-)
-
-from utils.misc import (
-    calculate_sha256,
-    calculate_sha256_string,
-    sanitize_filename,
-    extract_folders_after_data_docs,
-)
-from utils.utils import get_current_user, get_admin_user
-from config import (
-    SRC_LOG_LEVELS,
-    UPLOAD_DIR,
-    DOCS_DIR,
-    RAG_EMBEDDING_ENGINE,
-    RAG_EMBEDDING_MODEL,
-    RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
-    RAG_OPENAI_API_BASE_URL,
-    RAG_OPENAI_API_KEY,
-    DEVICE_TYPE,
-    CHROMA_CLIENT,
-    CHUNK_SIZE,
-    CHUNK_OVERLAP,
-    RAG_TEMPLATE,
-)
-
-from constants import ERROR_MESSAGES
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["RAG"])
-
-app = FastAPI()
-
-
-app.state.TOP_K = 4
-app.state.CHUNK_SIZE = CHUNK_SIZE
-app.state.CHUNK_OVERLAP = CHUNK_OVERLAP
-
-
-app.state.RAG_EMBEDDING_ENGINE = RAG_EMBEDDING_ENGINE
-app.state.RAG_EMBEDDING_MODEL = RAG_EMBEDDING_MODEL
-app.state.RAG_TEMPLATE = RAG_TEMPLATE
-
-app.state.OPENAI_API_BASE_URL = RAG_OPENAI_API_BASE_URL
-app.state.OPENAI_API_KEY = RAG_OPENAI_API_KEY
-
-app.state.PDF_EXTRACT_IMAGES = False
-
-if app.state.RAG_EMBEDDING_ENGINE == "":
-    app.state.sentence_transformer_ef = sentence_transformers.SentenceTransformer(
-        app.state.RAG_EMBEDDING_MODEL,
-        device=DEVICE_TYPE,
-        trust_remote_code=RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
-    )
-
-
-origins = ["*"]
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-class CollectionNameForm(BaseModel):
-    collection_name: Optional[str] = "test"
-
-
-class StoreWebForm(CollectionNameForm):
-    url: str
-
-
-@app.get("/")
-async def get_status():
-    return {
-        "status": True,
-        "chunk_size": app.state.CHUNK_SIZE,
-        "chunk_overlap": app.state.CHUNK_OVERLAP,
-        "template": app.state.RAG_TEMPLATE,
-        "embedding_engine": app.state.RAG_EMBEDDING_ENGINE,
-        "embedding_model": app.state.RAG_EMBEDDING_MODEL,
-    }
-
-
-@app.get("/embedding")
-async def get_embedding_config(user=Depends(get_admin_user)):
-    return {
-        "status": True,
-        "embedding_engine": app.state.RAG_EMBEDDING_ENGINE,
-        "embedding_model": app.state.RAG_EMBEDDING_MODEL,
-        "openai_config": {
-            "url": app.state.OPENAI_API_BASE_URL,
-            "key": app.state.OPENAI_API_KEY,
-        },
-    }
-
-
-class OpenAIConfigForm(BaseModel):
-    url: str
-    key: str
-
-
-class EmbeddingModelUpdateForm(BaseModel):
-    openai_config: Optional[OpenAIConfigForm] = None
-    embedding_engine: str
-    embedding_model: str
-
-
-@app.post("/embedding/update")
-async def update_embedding_config(
-    form_data: EmbeddingModelUpdateForm, user=Depends(get_admin_user)
-):
-    log.info(
-        f"Updating embedding model: {app.state.RAG_EMBEDDING_MODEL} to {form_data.embedding_model}"
-    )
-    try:
-        app.state.RAG_EMBEDDING_ENGINE = form_data.embedding_engine
-
-        if app.state.RAG_EMBEDDING_ENGINE in ["ollama", "openai"]:
-            app.state.RAG_EMBEDDING_MODEL = form_data.embedding_model
-            app.state.sentence_transformer_ef = None
-
-            if form_data.openai_config != None:
-                app.state.OPENAI_API_BASE_URL = form_data.openai_config.url
-                app.state.OPENAI_API_KEY = form_data.openai_config.key
-        else:
-            sentence_transformer_ef = sentence_transformers.SentenceTransformer(
-                app.state.RAG_EMBEDDING_MODEL,
-                device=DEVICE_TYPE,
-                trust_remote_code=RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
-            )
-            app.state.RAG_EMBEDDING_MODEL = form_data.embedding_model
-            app.state.sentence_transformer_ef = sentence_transformer_ef
-
-        return {
-            "status": True,
-            "embedding_engine": app.state.RAG_EMBEDDING_ENGINE,
-            "embedding_model": app.state.RAG_EMBEDDING_MODEL,
-            "openai_config": {
-                "url": app.state.OPENAI_API_BASE_URL,
-                "key": app.state.OPENAI_API_KEY,
-            },
-        }
-
-    except Exception as e:
-        log.exception(f"Problem updating embedding model: {e}")
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail=ERROR_MESSAGES.DEFAULT(e),
-        )
-
-
-@app.get("/config")
-async def get_rag_config(user=Depends(get_admin_user)):
-    return {
-        "status": True,
-        "pdf_extract_images": app.state.PDF_EXTRACT_IMAGES,
-        "chunk": {
-            "chunk_size": app.state.CHUNK_SIZE,
-            "chunk_overlap": app.state.CHUNK_OVERLAP,
-        },
-    }
-
-
-class ChunkParamUpdateForm(BaseModel):
-    chunk_size: int
-    chunk_overlap: int
-
-
-class ConfigUpdateForm(BaseModel):
-    pdf_extract_images: bool
-    chunk: ChunkParamUpdateForm
-
-
-@app.post("/config/update")
-async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_user)):
-    app.state.PDF_EXTRACT_IMAGES = form_data.pdf_extract_images
-    app.state.CHUNK_SIZE = form_data.chunk.chunk_size
-    app.state.CHUNK_OVERLAP = form_data.chunk.chunk_overlap
-
-    return {
-        "status": True,
-        "pdf_extract_images": app.state.PDF_EXTRACT_IMAGES,
-        "chunk": {
-            "chunk_size": app.state.CHUNK_SIZE,
-            "chunk_overlap": app.state.CHUNK_OVERLAP,
-        },
-    }
-
-
-@app.get("/template")
-async def get_rag_template(user=Depends(get_current_user)):
-    return {
-        "status": True,
-        "template": app.state.RAG_TEMPLATE,
-    }
-
-
-@app.get("/query/settings")
-async def get_query_settings(user=Depends(get_admin_user)):
-    return {
-        "status": True,
-        "template": app.state.RAG_TEMPLATE,
-        "k": app.state.TOP_K,
-    }
-
-
-class QuerySettingsForm(BaseModel):
-    k: Optional[int] = None
-    template: Optional[str] = None
-
-
-@app.post("/query/settings/update")
-async def update_query_settings(
-    form_data: QuerySettingsForm, user=Depends(get_admin_user)
-):
-    app.state.RAG_TEMPLATE = form_data.template if form_data.template else RAG_TEMPLATE
-    app.state.TOP_K = form_data.k if form_data.k else 4
-    return {"status": True, "template": app.state.RAG_TEMPLATE}
-
-
-class QueryDocForm(BaseModel):
-    collection_name: str
-    query: str
-    k: Optional[int] = None
-
-
-@app.post("/query/doc")
-def query_doc_handler(
-    form_data: QueryDocForm,
-    user=Depends(get_current_user),
-):
-    try:
-        if app.state.RAG_EMBEDDING_ENGINE == "":
-            query_embeddings = app.state.sentence_transformer_ef.encode(
-                form_data.query
-            ).tolist()
-        elif app.state.RAG_EMBEDDING_ENGINE == "ollama":
-            query_embeddings = generate_ollama_embeddings(
-                GenerateEmbeddingsForm(
-                    **{
-                        "model": app.state.RAG_EMBEDDING_MODEL,
-                        "prompt": form_data.query,
-                    }
-                )
-            )
-        elif app.state.RAG_EMBEDDING_ENGINE == "openai":
-            query_embeddings = generate_openai_embeddings(
-                model=app.state.RAG_EMBEDDING_MODEL,
-                text=form_data.query,
-                key=app.state.OPENAI_API_KEY,
-                url=app.state.OPENAI_API_BASE_URL,
-            )
-
-        return query_embeddings_doc(
-            collection_name=form_data.collection_name,
-            query=form_data.query,
-            query_embeddings=query_embeddings,
-            k=form_data.k if form_data.k else app.state.TOP_K,
-        )
-
-    except Exception as e:
-        log.exception(e)
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=ERROR_MESSAGES.DEFAULT(e),
-        )
-
-
-class QueryCollectionsForm(BaseModel):
-    collection_names: List[str]
-    query: str
-    k: Optional[int] = None
-
-
-@app.post("/query/collection")
-def query_collection_handler(
-    form_data: QueryCollectionsForm,
-    user=Depends(get_current_user),
-):
-    try:
-        if app.state.RAG_EMBEDDING_ENGINE == "":
-            query_embeddings = app.state.sentence_transformer_ef.encode(
-                form_data.query
-            ).tolist()
-        elif app.state.RAG_EMBEDDING_ENGINE == "ollama":
-            query_embeddings = generate_ollama_embeddings(
-                GenerateEmbeddingsForm(
-                    **{
-                        "model": app.state.RAG_EMBEDDING_MODEL,
-                        "prompt": form_data.query,
-                    }
-                )
-            )
-        elif app.state.RAG_EMBEDDING_ENGINE == "openai":
-            query_embeddings = generate_openai_embeddings(
-                model=app.state.RAG_EMBEDDING_MODEL,
-                text=form_data.query,
-                key=app.state.OPENAI_API_KEY,
-                url=app.state.OPENAI_API_BASE_URL,
-            )
-
-        return query_embeddings_collection(
-            collection_names=form_data.collection_names,
-            query_embeddings=query_embeddings,
-            k=form_data.k if form_data.k else app.state.TOP_K,
-        )
-
-    except Exception as e:
-        log.exception(e)
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=ERROR_MESSAGES.DEFAULT(e),
-        )
-
-
-@app.post("/web")
-def store_web(form_data: StoreWebForm, user=Depends(get_current_user)):
-    # "https://www.gutenberg.org/files/1727/1727-h/1727-h.htm"
-    try:
-        loader = WebBaseLoader(form_data.url)
-        data = loader.load()
-
-        collection_name = form_data.collection_name
-        if collection_name == "":
-            collection_name = calculate_sha256_string(form_data.url)[:63]
-
-        store_data_in_vector_db(data, collection_name, overwrite=True)
-        return {
-            "status": True,
-            "collection_name": collection_name,
-            "filename": form_data.url,
-        }
-    except Exception as e:
-        log.exception(e)
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=ERROR_MESSAGES.DEFAULT(e),
-        )
-
-
-def store_data_in_vector_db(data, collection_name, overwrite: bool = False) -> bool:
-
-    text_splitter = RecursiveCharacterTextSplitter(
-        chunk_size=app.state.CHUNK_SIZE,
-        chunk_overlap=app.state.CHUNK_OVERLAP,
-        add_start_index=True,
-    )
-
-    docs = text_splitter.split_documents(data)
-
-    if len(docs) > 0:
-        log.info(f"store_data_in_vector_db {docs}")
-        return store_docs_in_vector_db(docs, collection_name, overwrite), None
-    else:
-        raise ValueError(ERROR_MESSAGES.EMPTY_CONTENT)
-
-
-def store_text_in_vector_db(
-    text, metadata, collection_name, overwrite: bool = False
-) -> bool:
-    text_splitter = RecursiveCharacterTextSplitter(
-        chunk_size=app.state.CHUNK_SIZE,
-        chunk_overlap=app.state.CHUNK_OVERLAP,
-        add_start_index=True,
-    )
-    docs = text_splitter.create_documents([text], metadatas=[metadata])
-    return store_docs_in_vector_db(docs, collection_name, overwrite)
-
-
-def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> bool:
-    log.info(f"store_docs_in_vector_db {docs} {collection_name}")
-
-    texts = [doc.page_content for doc in docs]
-    texts = list(map(lambda x: x.replace("\n", " "), texts))
-
-    metadatas = [doc.metadata for doc in docs]
-
-    try:
-        if overwrite:
-            for collection in CHROMA_CLIENT.list_collections():
-                if collection_name == collection.name:
-                    log.info(f"deleting existing collection {collection_name}")
-                    CHROMA_CLIENT.delete_collection(name=collection_name)
-
-        collection = CHROMA_CLIENT.create_collection(name=collection_name)
-
-        if app.state.RAG_EMBEDDING_ENGINE == "":
-            embeddings = app.state.sentence_transformer_ef.encode(texts).tolist()
-        elif app.state.RAG_EMBEDDING_ENGINE == "ollama":
-            embeddings = [
-                generate_ollama_embeddings(
-                    GenerateEmbeddingsForm(
-                        **{"model": app.state.RAG_EMBEDDING_MODEL, "prompt": text}
-                    )
-                )
-                for text in texts
-            ]
-        elif app.state.RAG_EMBEDDING_ENGINE == "openai":
-            embeddings = [
-                generate_openai_embeddings(
-                    model=app.state.RAG_EMBEDDING_MODEL,
-                    text=text,
-                    key=app.state.OPENAI_API_KEY,
-                    url=app.state.OPENAI_API_BASE_URL,
-                )
-                for text in texts
-            ]
-
-        for batch in create_batches(
-            api=CHROMA_CLIENT,
-            ids=[str(uuid.uuid1()) for _ in texts],
-            metadatas=metadatas,
-            embeddings=embeddings,
-            documents=texts,
-        ):
-            collection.add(*batch)
-
-        return True
-    except Exception as e:
-        log.exception(e)
-        if e.__class__.__name__ == "UniqueConstraintError":
-            return True
-
-        return False
-
-
-def get_loader(filename: str, file_content_type: str, file_path: str):
-    file_ext = filename.split(".")[-1].lower()
-    known_type = True
-
-    known_source_ext = [
-        "go",
-        "py",
-        "java",
-        "sh",
-        "bat",
-        "ps1",
-        "cmd",
-        "js",
-        "ts",
-        "css",
-        "cpp",
-        "hpp",
-        "h",
-        "c",
-        "cs",
-        "sql",
-        "log",
-        "ini",
-        "pl",
-        "pm",
-        "r",
-        "dart",
-        "dockerfile",
-        "env",
-        "php",
-        "hs",
-        "hsc",
-        "lua",
-        "nginxconf",
-        "conf",
-        "m",
-        "mm",
-        "plsql",
-        "perl",
-        "rb",
-        "rs",
-        "db2",
-        "scala",
-        "bash",
-        "swift",
-        "vue",
-        "svelte",
-    ]
-
-    if file_ext == "pdf":
-        loader = PyPDFLoader(file_path, extract_images=app.state.PDF_EXTRACT_IMAGES)
-    elif file_ext == "csv":
-        loader = CSVLoader(file_path)
-    elif file_ext == "rst":
-        loader = UnstructuredRSTLoader(file_path, mode="elements")
-    elif file_ext == "xml":
-        loader = UnstructuredXMLLoader(file_path)
-    elif file_ext in ["htm", "html"]:
-        loader = BSHTMLLoader(file_path, open_encoding="unicode_escape")
-    elif file_ext == "md":
-        loader = UnstructuredMarkdownLoader(file_path)
-    elif file_content_type == "application/epub+zip":
-        loader = UnstructuredEPubLoader(file_path)
-    elif (
-        file_content_type
-        == "application/vnd.openxmlformats-officedocument.wordprocessingml.document"
-        or file_ext in ["doc", "docx"]
-    ):
-        loader = Docx2txtLoader(file_path)
-    elif file_content_type in [
-        "application/vnd.ms-excel",
-        "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
-    ] or file_ext in ["xls", "xlsx"]:
-        loader = UnstructuredExcelLoader(file_path)
-    elif file_ext in known_source_ext or (
-        file_content_type and file_content_type.find("text/") >= 0
-    ):
-        loader = TextLoader(file_path, autodetect_encoding=True)
-    else:
-        loader = TextLoader(file_path, autodetect_encoding=True)
-        known_type = False
-
-    return loader, known_type
-
-
-@app.post("/doc")
-def store_doc(
-    collection_name: Optional[str] = Form(None),
-    file: UploadFile = File(...),
-    user=Depends(get_current_user),
-):
-    # "https://www.gutenberg.org/files/1727/1727-h/1727-h.htm"
-
-    log.info(f"file.content_type: {file.content_type}")
-    try:
-        unsanitized_filename = file.filename
-        filename = os.path.basename(unsanitized_filename)
-
-        file_path = f"{UPLOAD_DIR}/{filename}"
-
-        contents = file.file.read()
-        with open(file_path, "wb") as f:
-            f.write(contents)
-            f.close()
-
-        f = open(file_path, "rb")
-        if collection_name == None:
-            collection_name = calculate_sha256(f)[:63]
-        f.close()
-
-        loader, known_type = get_loader(filename, file.content_type, file_path)
-        data = loader.load()
-
-        try:
-            result = store_data_in_vector_db(data, collection_name)
-
-            if result:
-                return {
-                    "status": True,
-                    "collection_name": collection_name,
-                    "filename": filename,
-                    "known_type": known_type,
-                }
-        except Exception as e:
-            raise HTTPException(
-                status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-                detail=e,
-            )
-    except Exception as e:
-        log.exception(e)
-        if "No pandoc was found" in str(e):
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ERROR_MESSAGES.PANDOC_NOT_INSTALLED,
-            )
-        else:
-            raise HTTPException(
-                status_code=status.HTTP_400_BAD_REQUEST,
-                detail=ERROR_MESSAGES.DEFAULT(e),
-            )
-
-
-class TextRAGForm(BaseModel):
-    name: str
-    content: str
-    collection_name: Optional[str] = None
-
-
-@app.post("/text")
-def store_text(
-    form_data: TextRAGForm,
-    user=Depends(get_current_user),
-):
-
-    collection_name = form_data.collection_name
-    if collection_name == None:
-        collection_name = calculate_sha256_string(form_data.content)
-
-    result = store_text_in_vector_db(
-        form_data.content,
-        metadata={"name": form_data.name, "created_by": user.id},
-        collection_name=collection_name,
-    )
-
-    if result:
-        return {"status": True, "collection_name": collection_name}
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail=ERROR_MESSAGES.DEFAULT(),
-        )
-
-
-@app.get("/scan")
-def scan_docs_dir(user=Depends(get_admin_user)):
-    for path in Path(DOCS_DIR).rglob("./**/*"):
-        try:
-            if path.is_file() and not path.name.startswith("."):
-                tags = extract_folders_after_data_docs(path)
-                filename = path.name
-                file_content_type = mimetypes.guess_type(path)
-
-                f = open(path, "rb")
-                collection_name = calculate_sha256(f)[:63]
-                f.close()
-
-                loader, known_type = get_loader(
-                    filename, file_content_type[0], str(path)
-                )
-                data = loader.load()
-
-                try:
-                    result = store_data_in_vector_db(data, collection_name)
-
-                    if result:
-                        sanitized_filename = sanitize_filename(filename)
-                        doc = Documents.get_doc_by_name(sanitized_filename)
-
-                        if doc == None:
-                            doc = Documents.insert_new_doc(
-                                user.id,
-                                DocumentForm(
-                                    **{
-                                        "name": sanitized_filename,
-                                        "title": filename,
-                                        "collection_name": collection_name,
-                                        "filename": filename,
-                                        "content": (
-                                            json.dumps(
-                                                {
-                                                    "tags": list(
-                                                        map(
-                                                            lambda name: {"name": name},
-                                                            tags,
-                                                        )
-                                                    )
-                                                }
-                                            )
-                                            if len(tags)
-                                            else "{}"
-                                        ),
-                                    }
-                                ),
-                            )
-                except Exception as e:
-                    log.exception(e)
-                    pass
-
-        except Exception as e:
-            log.exception(e)
-
-    return True
-
-
-@app.get("/reset/db")
-def reset_vector_db(user=Depends(get_admin_user)):
-    CHROMA_CLIENT.reset()
-
-
-@app.get("/reset")
-def reset(user=Depends(get_admin_user)) -> bool:
-    folder = f"{UPLOAD_DIR}"
-    for filename in os.listdir(folder):
-        file_path = os.path.join(folder, filename)
-        try:
-            if os.path.isfile(file_path) or os.path.islink(file_path):
-                os.unlink(file_path)
-            elif os.path.isdir(file_path):
-                shutil.rmtree(file_path)
-        except Exception as e:
-            log.error("Failed to delete %s. Reason: %s" % (file_path, e))
-
-    try:
-        CHROMA_CLIENT.reset()
-    except Exception as e:
-        log.exception(e)
-
-    return True

backend/apps/rag/utils.py

@@ -1,252 +0,0 @@
-import logging
-import requests
-
-from typing import List
-
-from apps.ollama.main import (
-    generate_ollama_embeddings,
-    GenerateEmbeddingsForm,
-)
-
-from config import SRC_LOG_LEVELS, CHROMA_CLIENT
-
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["RAG"])
-
-
-def query_embeddings_doc(collection_name: str, query: str, query_embeddings, k: int):
-    try:
-        # if you use docker use the model from the environment variable
-        log.info(f"query_embeddings_doc {query_embeddings}")
-        collection = CHROMA_CLIENT.get_collection(name=collection_name)
-
-        result = collection.query(
-            query_embeddings=[query_embeddings],
-            n_results=k,
-        )
-
-        log.info(f"query_embeddings_doc:result {result}")
-        return result
-    except Exception as e:
-        raise e
-
-
-def merge_and_sort_query_results(query_results, k):
-    # Initialize lists to store combined data
-    combined_ids = []
-    combined_distances = []
-    combined_metadatas = []
-    combined_documents = []
-
-    # Combine data from each dictionary
-    for data in query_results:
-        combined_ids.extend(data["ids"][0])
-        combined_distances.extend(data["distances"][0])
-        combined_metadatas.extend(data["metadatas"][0])
-        combined_documents.extend(data["documents"][0])
-
-    # Create a list of tuples (distance, id, metadata, document)
-    combined = list(
-        zip(combined_distances, combined_ids, combined_metadatas, combined_documents)
-    )
-
-    # Sort the list based on distances
-    combined.sort(key=lambda x: x[0])
-
-    # Unzip the sorted list
-    sorted_distances, sorted_ids, sorted_metadatas, sorted_documents = zip(*combined)
-
-    # Slicing the lists to include only k elements
-    sorted_distances = list(sorted_distances)[:k]
-    sorted_ids = list(sorted_ids)[:k]
-    sorted_metadatas = list(sorted_metadatas)[:k]
-    sorted_documents = list(sorted_documents)[:k]
-
-    # Create the output dictionary
-    merged_query_results = {
-        "ids": [sorted_ids],
-        "distances": [sorted_distances],
-        "metadatas": [sorted_metadatas],
-        "documents": [sorted_documents],
-        "embeddings": None,
-        "uris": None,
-        "data": None,
-    }
-
-    return merged_query_results
-
-
-def query_embeddings_collection(
-    collection_names: List[str], query: str, query_embeddings, k: int
-):
-
-    results = []
-    log.info(f"query_embeddings_collection {query_embeddings}")
-
-    for collection_name in collection_names:
-        try:
-            result = query_embeddings_doc(
-                collection_name=collection_name,
-                query=query,
-                query_embeddings=query_embeddings,
-                k=k,
-            )
-            results.append(result)
-        except:
-            pass
-
-    return merge_and_sort_query_results(results, k)
-
-
-def rag_template(template: str, context: str, query: str):
-    template = template.replace("[context]", context)
-    template = template.replace("[query]", query)
-    return template
-
-
-def rag_messages(
-    docs,
-    messages,
-    template,
-    k,
-    embedding_engine,
-    embedding_model,
-    embedding_function,
-    openai_key,
-    openai_url,
-):
-    log.debug(
-        f"docs: {docs} {messages} {embedding_engine} {embedding_model} {embedding_function} {openai_key} {openai_url}"
-    )
-
-    last_user_message_idx = None
-    for i in range(len(messages) - 1, -1, -1):
-        if messages[i]["role"] == "user":
-            last_user_message_idx = i
-            break
-
-    user_message = messages[last_user_message_idx]
-
-    if isinstance(user_message["content"], list):
-        # Handle list content input
-        content_type = "list"
-        query = ""
-        for content_item in user_message["content"]:
-            if content_item["type"] == "text":
-                query = content_item["text"]
-                break
-    elif isinstance(user_message["content"], str):
-        # Handle text content input
-        content_type = "text"
-        query = user_message["content"]
-    else:
-        # Fallback in case the input does not match expected types
-        content_type = None
-        query = ""
-
-    relevant_contexts = []
-
-    for doc in docs:
-        context = None
-
-        try:
-
-            if doc["type"] == "text":
-                context = doc["content"]
-            else:
-                if embedding_engine == "":
-                    query_embeddings = embedding_function.encode(query).tolist()
-                elif embedding_engine == "ollama":
-                    query_embeddings = generate_ollama_embeddings(
-                        GenerateEmbeddingsForm(
-                            **{
-                                "model": embedding_model,
-                                "prompt": query,
-                            }
-                        )
-                    )
-                elif embedding_engine == "openai":
-                    query_embeddings = generate_openai_embeddings(
-                        model=embedding_model,
-                        text=query,
-                        key=openai_key,
-                        url=openai_url,
-                    )
-
-                if doc["type"] == "collection":
-                    context = query_embeddings_collection(
-                        collection_names=doc["collection_names"],
-                        query=query,
-                        query_embeddings=query_embeddings,
-                        k=k,
-                    )
-                else:
-                    context = query_embeddings_doc(
-                        collection_name=doc["collection_name"],
-                        query=query,
-                        query_embeddings=query_embeddings,
-                        k=k,
-                    )
-
-        except Exception as e:
-            log.exception(e)
-            context = None
-
-        relevant_contexts.append(context)
-
-    log.debug(f"relevant_contexts: {relevant_contexts}")
-
-    context_string = ""
-    for context in relevant_contexts:
-        if context:
-            context_string += " ".join(context["documents"][0]) + "\n"
-
-    ra_content = rag_template(
-        template=template,
-        context=context_string,
-        query=query,
-    )
-
-    if content_type == "list":
-        new_content = []
-        for content_item in user_message["content"]:
-            if content_item["type"] == "text":
-                # Update the text item's content with ra_content
-                new_content.append({"type": "text", "text": ra_content})
-            else:
-                # Keep other types of content as they are
-                new_content.append(content_item)
-        new_user_message = {**user_message, "content": new_content}
-    else:
-        new_user_message = {
-            **user_message,
-            "content": ra_content,
-        }
-
-    messages[last_user_message_idx] = new_user_message
-
-    return messages
-
-
-def generate_openai_embeddings(
-    model: str, text: str, key: str, url: str = "https://api.openai.com/v1"
-):
-    try:
-        r = requests.post(
-            f"{url}/embeddings",
-            headers={
-                "Content-Type": "application/json",
-                "Authorization": f"Bearer {key}",
-            },
-            json={"input": text, "model": model},
-        )
-        r.raise_for_status()
-        data = r.json()
-        if "data" in data:
-            return data["data"][0]["embedding"]
-        else:
-            raise "Something went wrong :/"
-    except Exception as e:
-        print(e)
-        return None

backend/apps/web/internal/db.py

@@ -1,22 +0,0 @@
-from peewee import *
-from peewee_migrate import Router
-from config import SRC_LOG_LEVELS, DATA_DIR
-import os
-import logging
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["DB"])
-
-# Check if the file exists
-if os.path.exists(f"{DATA_DIR}/ollama.db"):
-    # Rename the file
-    os.rename(f"{DATA_DIR}/ollama.db", f"{DATA_DIR}/webui.db")
-    log.info("File renamed successfully.")
-else:
-    pass
-
-
-DB = SqliteDatabase(f"{DATA_DIR}/webui.db")
-router = Router(DB, migrate_dir="apps/web/internal/migrations", logger=log)
-router.run()
-DB.connect(reuse_if_open=True)

backend/apps/web/internal/migrations/README.md

@@ -1,21 +0,0 @@
-# Database Migrations
-
-This directory contains all the database migrations for the web app.
-Migrations are done using the [`peewee-migrate`](https://github.com/klen/peewee_migrate) library.
-
-Migrations are automatically ran at app startup.
-
-## Creating a migration
-
-Have you made a change to the schema of an existing model?
-You will need to create a migration file to ensure that existing databases are updated for backwards compatibility.
-
-1. Have a database file (`webui.db`) that has the old schema prior to any of your changes.
-2. Make your changes to the models.
-3. From the `backend` directory, run the following command:
-   ```bash
-   pw_migrate create --auto --auto-source apps.web.models --database sqlite:///${SQLITE_DB} --directory apps/web/internal/migrations ${MIGRATION_NAME}
-   ```
-   - `$SQLITE_DB` should be the path to the database file.
-   - `$MIGRATION_NAME` should be a descriptive name for the migration.
-4. The migration file will be created in the `apps/web/internal/migrations` directory.

backend/apps/web/main.py

@@ -1,66 +0,0 @@
-from fastapi import FastAPI, Depends
-from fastapi.routing import APIRoute
-from fastapi.middleware.cors import CORSMiddleware
-from apps.web.routers import (
-    auths,
-    users,
-    chats,
-    documents,
-    modelfiles,
-    prompts,
-    configs,
-    utils,
-)
-from config import (
-    WEBUI_VERSION,
-    WEBUI_AUTH,
-    DEFAULT_MODELS,
-    DEFAULT_PROMPT_SUGGESTIONS,
-    DEFAULT_USER_ROLE,
-    ENABLE_SIGNUP,
-    USER_PERMISSIONS,
-    WEBHOOK_URL,
-    WEBUI_AUTH_TRUSTED_EMAIL_HEADER,
-)
-
-app = FastAPI()
-
-origins = ["*"]
-
-app.state.ENABLE_SIGNUP = ENABLE_SIGNUP
-app.state.JWT_EXPIRES_IN = "-1"
-
-app.state.DEFAULT_MODELS = DEFAULT_MODELS
-app.state.DEFAULT_PROMPT_SUGGESTIONS = DEFAULT_PROMPT_SUGGESTIONS
-app.state.DEFAULT_USER_ROLE = DEFAULT_USER_ROLE
-app.state.USER_PERMISSIONS = USER_PERMISSIONS
-app.state.WEBHOOK_URL = WEBHOOK_URL
-app.state.AUTH_TRUSTED_EMAIL_HEADER = WEBUI_AUTH_TRUSTED_EMAIL_HEADER
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-app.include_router(auths.router, prefix="/auths", tags=["auths"])
-app.include_router(users.router, prefix="/users", tags=["users"])
-app.include_router(chats.router, prefix="/chats", tags=["chats"])
-app.include_router(documents.router, prefix="/documents", tags=["documents"])
-app.include_router(modelfiles.router, prefix="/modelfiles", tags=["modelfiles"])
-app.include_router(prompts.router, prefix="/prompts", tags=["prompts"])
-
-app.include_router(configs.router, prefix="/configs", tags=["configs"])
-app.include_router(utils.router, prefix="/utils", tags=["utils"])
-
-
-@app.get("/")
-async def get_status():
-    return {
-        "status": True,
-        "auth": WEBUI_AUTH,
-        "default_models": app.state.DEFAULT_MODELS,
-        "default_prompt_suggestions": app.state.DEFAULT_PROMPT_SUGGESTIONS,
-    }

backend/apps/web/models/auths.py

@@ -1,193 +0,0 @@
-from pydantic import BaseModel
-from typing import List, Union, Optional
-import time
-import uuid
-import logging
-from peewee import *
-
-from apps.web.models.users import UserModel, Users
-from utils.utils import verify_password
-
-from apps.web.internal.db import DB
-
-from config import SRC_LOG_LEVELS
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["MODELS"])
-
-####################
-# DB MODEL
-####################
-
-
-class Auth(Model):
-    id = CharField(unique=True)
-    email = CharField()
-    password = CharField()
-    active = BooleanField()
-
-    class Meta:
-        database = DB
-
-
-class AuthModel(BaseModel):
-    id: str
-    email: str
-    password: str
-    active: bool = True
-
-
-####################
-# Forms
-####################
-
-
-class Token(BaseModel):
-    token: str
-    token_type: str
-
-
-class ApiKey(BaseModel):
-    api_key: Optional[str] = None
-
-
-class UserResponse(BaseModel):
-    id: str
-    email: str
-    name: str
-    role: str
-    profile_image_url: str
-
-
-class SigninResponse(Token, UserResponse):
-    pass
-
-
-class SigninForm(BaseModel):
-    email: str
-    password: str
-
-
-class ProfileImageUrlForm(BaseModel):
-    profile_image_url: str
-
-
-class UpdateProfileForm(BaseModel):
-    profile_image_url: str
-    name: str
-
-
-class UpdatePasswordForm(BaseModel):
-    password: str
-    new_password: str
-
-
-class SignupForm(BaseModel):
-    name: str
-    email: str
-    password: str
-    profile_image_url: Optional[str] = "/user.png"
-
-
-class AuthsTable:
-    def __init__(self, db):
-        self.db = db
-        self.db.create_tables([Auth])
-
-    def insert_new_auth(
-        self,
-        email: str,
-        password: str,
-        name: str,
-        profile_image_url: str = "/user.png",
-        role: str = "pending",
-    ) -> Optional[UserModel]:
-        log.info("insert_new_auth")
-
-        id = str(uuid.uuid4())
-
-        auth = AuthModel(
-            **{"id": id, "email": email, "password": password, "active": True}
-        )
-        result = Auth.create(**auth.model_dump())
-
-        user = Users.insert_new_user(id, name, email, profile_image_url, role)
-
-        if result and user:
-            return user
-        else:
-            return None
-
-    def authenticate_user(self, email: str, password: str) -> Optional[UserModel]:
-        log.info(f"authenticate_user: {email}")
-        try:
-            auth = Auth.get(Auth.email == email, Auth.active == True)
-            if auth:
-                if verify_password(password, auth.password):
-                    user = Users.get_user_by_id(auth.id)
-                    return user
-                else:
-                    return None
-            else:
-                return None
-        except:
-            return None
-
-    def authenticate_user_by_api_key(self, api_key: str) -> Optional[UserModel]:
-        log.info(f"authenticate_user_by_api_key: {api_key}")
-        # if no api_key, return None
-        if not api_key:
-            return None
-
-        try:
-            user = Users.get_user_by_api_key(api_key)
-            return user if user else None
-        except:
-            return False
-
-    def authenticate_user_by_trusted_header(self, email: str) -> Optional[UserModel]:
-        log.info(f"authenticate_user_by_trusted_header: {email}")
-        try:
-            auth = Auth.get(Auth.email == email, Auth.active == True)
-            if auth:
-                user = Users.get_user_by_id(auth.id)
-                return user
-        except:
-            return None
-
-    def update_user_password_by_id(self, id: str, new_password: str) -> bool:
-        try:
-            query = Auth.update(password=new_password).where(Auth.id == id)
-            result = query.execute()
-
-            return True if result == 1 else False
-        except:
-            return False
-
-    def update_email_by_id(self, id: str, email: str) -> bool:
-        try:
-            query = Auth.update(email=email).where(Auth.id == id)
-            result = query.execute()
-
-            return True if result == 1 else False
-        except:
-            return False
-
-    def delete_auth_by_id(self, id: str) -> bool:
-        try:
-            # Delete User
-            result = Users.delete_user_by_id(id)
-
-            if result:
-                # Delete Auth
-                query = Auth.delete().where(Auth.id == id)
-                query.execute()  # Remove the rows, return number of rows removed.
-
-                return True
-            else:
-                return False
-        except:
-            return False
-
-
-Auths = AuthsTable(DB)

backend/apps/web/models/chats.py

@@ -1,313 +0,0 @@
-from pydantic import BaseModel
-from typing import List, Union, Optional
-from peewee import *
-from playhouse.shortcuts import model_to_dict
-
-import json
-import uuid
-import time
-
-from apps.web.internal.db import DB
-
-####################
-# Chat DB Schema
-####################
-
-
-class Chat(Model):
-    id = CharField(unique=True)
-    user_id = CharField()
-    title = CharField()
-    chat = TextField()  # Save Chat JSON as Text
-
-    created_at = DateTimeField()
-    updated_at = DateTimeField()
-
-    share_id = CharField(null=True, unique=True)
-    archived = BooleanField(default=False)
-
-    class Meta:
-        database = DB
-
-
-class ChatModel(BaseModel):
-    id: str
-    user_id: str
-    title: str
-    chat: str
-
-    created_at: int  # timestamp in epoch
-    updated_at: int  # timestamp in epoch
-
-    share_id: Optional[str] = None
-    archived: bool = False
-
-
-####################
-# Forms
-####################
-
-
-class ChatForm(BaseModel):
-    chat: dict
-
-
-class ChatTitleForm(BaseModel):
-    title: str
-
-
-class ChatResponse(BaseModel):
-    id: str
-    user_id: str
-    title: str
-    chat: dict
-    updated_at: int  # timestamp in epoch
-    created_at: int  # timestamp in epoch
-    share_id: Optional[str] = None  # id of the chat to be shared
-    archived: bool
-
-
-class ChatTitleIdResponse(BaseModel):
-    id: str
-    title: str
-    updated_at: int
-    created_at: int
-
-
-class ChatTable:
-    def __init__(self, db):
-        self.db = db
-        db.create_tables([Chat])
-
-    def insert_new_chat(self, user_id: str, form_data: ChatForm) -> Optional[ChatModel]:
-        id = str(uuid.uuid4())
-        chat = ChatModel(
-            **{
-                "id": id,
-                "user_id": user_id,
-                "title": (
-                    form_data.chat["title"] if "title" in form_data.chat else "New Chat"
-                ),
-                "chat": json.dumps(form_data.chat),
-                "created_at": int(time.time()),
-                "updated_at": int(time.time()),
-            }
-        )
-
-        result = Chat.create(**chat.model_dump())
-        return chat if result else None
-
-    def update_chat_by_id(self, id: str, chat: dict) -> Optional[ChatModel]:
-        try:
-            query = Chat.update(
-                chat=json.dumps(chat),
-                title=chat["title"] if "title" in chat else "New Chat",
-                updated_at=int(time.time()),
-            ).where(Chat.id == id)
-            query.execute()
-
-            chat = Chat.get(Chat.id == id)
-            return ChatModel(**model_to_dict(chat))
-        except:
-            return None
-
-    def insert_shared_chat_by_chat_id(self, chat_id: str) -> Optional[ChatModel]:
-        # Get the existing chat to share
-        chat = Chat.get(Chat.id == chat_id)
-        # Check if the chat is already shared
-        if chat.share_id:
-            return self.get_chat_by_id_and_user_id(chat.share_id, "shared")
-        # Create a new chat with the same data, but with a new ID
-        shared_chat = ChatModel(
-            **{
-                "id": str(uuid.uuid4()),
-                "user_id": f"shared-{chat_id}",
-                "title": chat.title,
-                "chat": chat.chat,
-                "created_at": chat.created_at,
-                "updated_at": int(time.time()),
-            }
-        )
-        shared_result = Chat.create(**shared_chat.model_dump())
-        # Update the original chat with the share_id
-        result = (
-            Chat.update(share_id=shared_chat.id).where(Chat.id == chat_id).execute()
-        )
-
-        return shared_chat if (shared_result and result) else None
-
-    def update_shared_chat_by_chat_id(self, chat_id: str) -> Optional[ChatModel]:
-        try:
-            print("update_shared_chat_by_id")
-            chat = Chat.get(Chat.id == chat_id)
-            print(chat)
-
-            query = Chat.update(
-                title=chat.title,
-                chat=chat.chat,
-            ).where(Chat.id == chat.share_id)
-
-            query.execute()
-
-            chat = Chat.get(Chat.id == chat.share_id)
-            return ChatModel(**model_to_dict(chat))
-        except:
-            return None
-
-    def delete_shared_chat_by_chat_id(self, chat_id: str) -> bool:
-        try:
-            query = Chat.delete().where(Chat.user_id == f"shared-{chat_id}")
-            query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except:
-            return False
-
-    def update_chat_share_id_by_id(
-        self, id: str, share_id: Optional[str]
-    ) -> Optional[ChatModel]:
-        try:
-            query = Chat.update(
-                share_id=share_id,
-            ).where(Chat.id == id)
-            query.execute()
-
-            chat = Chat.get(Chat.id == id)
-            return ChatModel(**model_to_dict(chat))
-        except:
-            return None
-
-    def toggle_chat_archive_by_id(self, id: str) -> Optional[ChatModel]:
-        try:
-            chat = self.get_chat_by_id(id)
-            query = Chat.update(
-                archived=(not chat.archived),
-            ).where(Chat.id == id)
-
-            query.execute()
-
-            chat = Chat.get(Chat.id == id)
-            return ChatModel(**model_to_dict(chat))
-        except:
-            return None
-
-    def get_archived_chat_lists_by_user_id(
-        self, user_id: str, skip: int = 0, limit: int = 50
-    ) -> List[ChatModel]:
-        return [
-            ChatModel(**model_to_dict(chat))
-            for chat in Chat.select()
-            .where(Chat.archived == True)
-            .where(Chat.user_id == user_id)
-            .order_by(Chat.updated_at.desc())
-            # .limit(limit)
-            # .offset(skip)
-        ]
-
-    def get_chat_lists_by_user_id(
-        self, user_id: str, skip: int = 0, limit: int = 50
-    ) -> List[ChatModel]:
-        return [
-            ChatModel(**model_to_dict(chat))
-            for chat in Chat.select()
-            .where(Chat.archived == False)
-            .where(Chat.user_id == user_id)
-            .order_by(Chat.updated_at.desc())
-            # .limit(limit)
-            # .offset(skip)
-        ]
-
-    def get_chat_lists_by_chat_ids(
-        self, chat_ids: List[str], skip: int = 0, limit: int = 50
-    ) -> List[ChatModel]:
-        return [
-            ChatModel(**model_to_dict(chat))
-            for chat in Chat.select()
-            .where(Chat.archived == False)
-            .where(Chat.id.in_(chat_ids))
-            .order_by(Chat.updated_at.desc())
-        ]
-
-    def get_all_chats(self) -> List[ChatModel]:
-        return [
-            ChatModel(**model_to_dict(chat))
-            for chat in Chat.select().order_by(Chat.updated_at.desc())
-        ]
-
-    def get_all_chats_by_user_id(self, user_id: str) -> List[ChatModel]:
-        return [
-            ChatModel(**model_to_dict(chat))
-            for chat in Chat.select()
-            .where(Chat.user_id == user_id)
-            .order_by(Chat.updated_at.desc())
-        ]
-
-    def get_chat_by_id(self, id: str) -> Optional[ChatModel]:
-        try:
-            chat = Chat.get(Chat.id == id)
-            return ChatModel(**model_to_dict(chat))
-        except:
-            return None
-
-    def get_chat_by_share_id(self, id: str) -> Optional[ChatModel]:
-        try:
-            chat = Chat.get(Chat.share_id == id)
-
-            if chat:
-                chat = Chat.get(Chat.id == id)
-                return ChatModel(**model_to_dict(chat))
-            else:
-                return None
-        except:
-            return None
-
-    def get_chat_by_id_and_user_id(self, id: str, user_id: str) -> Optional[ChatModel]:
-        try:
-            chat = Chat.get(Chat.id == id, Chat.user_id == user_id)
-            return ChatModel(**model_to_dict(chat))
-        except:
-            return None
-
-    def get_chats(self, skip: int = 0, limit: int = 50) -> List[ChatModel]:
-        return [
-            ChatModel(**model_to_dict(chat))
-            for chat in Chat.select().limit(limit).offset(skip)
-        ]
-
-    def delete_chat_by_id_and_user_id(self, id: str, user_id: str) -> bool:
-        try:
-            query = Chat.delete().where((Chat.id == id) & (Chat.user_id == user_id))
-            query.execute()  # Remove the rows, return number of rows removed.
-
-            return True and self.delete_shared_chat_by_chat_id(id)
-        except:
-            return False
-
-    def delete_chats_by_user_id(self, user_id: str) -> bool:
-        try:
-
-            self.delete_shared_chats_by_user_id(user_id)
-
-            query = Chat.delete().where(Chat.user_id == user_id)
-            query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except:
-            return False
-
-    def delete_shared_chats_by_user_id(self, user_id: str) -> bool:
-        try:
-            shared_chat_ids = [
-                f"shared-{chat.id}"
-                for chat in Chat.select().where(Chat.user_id == user_id)
-            ]
-
-            query = Chat.delete().where(Chat.user_id << shared_chat_ids)
-            query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except:
-            return False
-
-
-Chats = ChatTable(DB)

backend/apps/web/models/documents.py

@@ -1,160 +0,0 @@
-from pydantic import BaseModel
-from peewee import *
-from playhouse.shortcuts import model_to_dict
-from typing import List, Union, Optional
-import time
-import logging
-
-from utils.utils import decode_token
-from utils.misc import get_gravatar_url
-
-from apps.web.internal.db import DB
-
-import json
-
-from config import SRC_LOG_LEVELS
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["MODELS"])
-
-####################
-# Documents DB Schema
-####################
-
-
-class Document(Model):
-    collection_name = CharField(unique=True)
-    name = CharField(unique=True)
-    title = CharField()
-    filename = CharField()
-    content = TextField(null=True)
-    user_id = CharField()
-    timestamp = DateField()
-
-    class Meta:
-        database = DB
-
-
-class DocumentModel(BaseModel):
-    collection_name: str
-    name: str
-    title: str
-    filename: str
-    content: Optional[str] = None
-    user_id: str
-    timestamp: int  # timestamp in epoch
-
-
-####################
-# Forms
-####################
-
-
-class DocumentResponse(BaseModel):
-    collection_name: str
-    name: str
-    title: str
-    filename: str
-    content: Optional[dict] = None
-    user_id: str
-    timestamp: int  # timestamp in epoch
-
-
-class DocumentUpdateForm(BaseModel):
-    name: str
-    title: str
-
-
-class DocumentForm(DocumentUpdateForm):
-    collection_name: str
-    filename: str
-    content: Optional[str] = None
-
-
-class DocumentsTable:
-    def __init__(self, db):
-        self.db = db
-        self.db.create_tables([Document])
-
-    def insert_new_doc(
-        self, user_id: str, form_data: DocumentForm
-    ) -> Optional[DocumentModel]:
-        document = DocumentModel(
-            **{
-                **form_data.model_dump(),
-                "user_id": user_id,
-                "timestamp": int(time.time()),
-            }
-        )
-
-        try:
-            result = Document.create(**document.model_dump())
-            if result:
-                return document
-            else:
-                return None
-        except:
-            return None
-
-    def get_doc_by_name(self, name: str) -> Optional[DocumentModel]:
-        try:
-            document = Document.get(Document.name == name)
-            return DocumentModel(**model_to_dict(document))
-        except:
-            return None
-
-    def get_docs(self) -> List[DocumentModel]:
-        return [
-            DocumentModel(**model_to_dict(doc))
-            for doc in Document.select()
-            # .limit(limit).offset(skip)
-        ]
-
-    def update_doc_by_name(
-        self, name: str, form_data: DocumentUpdateForm
-    ) -> Optional[DocumentModel]:
-        try:
-            query = Document.update(
-                title=form_data.title,
-                name=form_data.name,
-                timestamp=int(time.time()),
-            ).where(Document.name == name)
-            query.execute()
-
-            doc = Document.get(Document.name == form_data.name)
-            return DocumentModel(**model_to_dict(doc))
-        except Exception as e:
-            log.exception(e)
-            return None
-
-    def update_doc_content_by_name(
-        self, name: str, updated: dict
-    ) -> Optional[DocumentModel]:
-        try:
-            doc = self.get_doc_by_name(name)
-            doc_content = json.loads(doc.content if doc.content else "{}")
-            doc_content = {**doc_content, **updated}
-
-            query = Document.update(
-                content=json.dumps(doc_content),
-                timestamp=int(time.time()),
-            ).where(Document.name == name)
-            query.execute()
-
-            doc = Document.get(Document.name == name)
-            return DocumentModel(**model_to_dict(doc))
-        except Exception as e:
-            log.exception(e)
-            return None
-
-    def delete_doc_by_name(self, name: str) -> bool:
-        try:
-            query = Document.delete().where((Document.name == name))
-            query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except:
-            return False
-
-
-Documents = DocumentsTable(DB)

backend/apps/web/models/modelfiles.py

@@ -1,136 +0,0 @@
-from pydantic import BaseModel
-from peewee import *
-from playhouse.shortcuts import model_to_dict
-from typing import List, Union, Optional
-import time
-
-from utils.utils import decode_token
-from utils.misc import get_gravatar_url
-
-from apps.web.internal.db import DB
-
-import json
-
-####################
-# Modelfile DB Schema
-####################
-
-
-class Modelfile(Model):
-    tag_name = CharField(unique=True)
-    user_id = CharField()
-    modelfile = TextField()
-    timestamp = DateField()
-
-    class Meta:
-        database = DB
-
-
-class ModelfileModel(BaseModel):
-    tag_name: str
-    user_id: str
-    modelfile: str
-    timestamp: int  # timestamp in epoch
-
-
-####################
-# Forms
-####################
-
-
-class ModelfileForm(BaseModel):
-    modelfile: dict
-
-
-class ModelfileTagNameForm(BaseModel):
-    tag_name: str
-
-
-class ModelfileUpdateForm(ModelfileForm, ModelfileTagNameForm):
-    pass
-
-
-class ModelfileResponse(BaseModel):
-    tag_name: str
-    user_id: str
-    modelfile: dict
-    timestamp: int  # timestamp in epoch
-
-
-class ModelfilesTable:
-
-    def __init__(self, db):
-        self.db = db
-        self.db.create_tables([Modelfile])
-
-    def insert_new_modelfile(
-        self, user_id: str, form_data: ModelfileForm
-    ) -> Optional[ModelfileModel]:
-        if "tagName" in form_data.modelfile:
-            modelfile = ModelfileModel(
-                **{
-                    "user_id": user_id,
-                    "tag_name": form_data.modelfile["tagName"],
-                    "modelfile": json.dumps(form_data.modelfile),
-                    "timestamp": int(time.time()),
-                }
-            )
-
-            try:
-                result = Modelfile.create(**modelfile.model_dump())
-                if result:
-                    return modelfile
-                else:
-                    return None
-            except:
-                return None
-
-        else:
-            return None
-
-    def get_modelfile_by_tag_name(self, tag_name: str) -> Optional[ModelfileModel]:
-        try:
-            modelfile = Modelfile.get(Modelfile.tag_name == tag_name)
-            return ModelfileModel(**model_to_dict(modelfile))
-        except:
-            return None
-
-    def get_modelfiles(self, skip: int = 0, limit: int = 50) -> List[ModelfileResponse]:
-        return [
-            ModelfileResponse(
-                **{
-                    **model_to_dict(modelfile),
-                    "modelfile": json.loads(modelfile.modelfile),
-                }
-            )
-            for modelfile in Modelfile.select()
-            # .limit(limit).offset(skip)
-        ]
-
-    def update_modelfile_by_tag_name(
-        self, tag_name: str, modelfile: dict
-    ) -> Optional[ModelfileModel]:
-        try:
-            query = Modelfile.update(
-                modelfile=json.dumps(modelfile),
-                timestamp=int(time.time()),
-            ).where(Modelfile.tag_name == tag_name)
-
-            query.execute()
-
-            modelfile = Modelfile.get(Modelfile.tag_name == tag_name)
-            return ModelfileModel(**model_to_dict(modelfile))
-        except:
-            return None
-
-    def delete_modelfile_by_tag_name(self, tag_name: str) -> bool:
-        try:
-            query = Modelfile.delete().where((Modelfile.tag_name == tag_name))
-            query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except:
-            return False
-
-
-Modelfiles = ModelfilesTable(DB)

backend/apps/web/models/prompts.py

@@ -1,118 +0,0 @@
-from pydantic import BaseModel
-from peewee import *
-from playhouse.shortcuts import model_to_dict
-from typing import List, Union, Optional
-import time
-
-from utils.utils import decode_token
-from utils.misc import get_gravatar_url
-
-from apps.web.internal.db import DB
-
-import json
-
-####################
-# Prompts DB Schema
-####################
-
-
-class Prompt(Model):
-    command = CharField(unique=True)
-    user_id = CharField()
-    title = CharField()
-    content = TextField()
-    timestamp = DateField()
-
-    class Meta:
-        database = DB
-
-
-class PromptModel(BaseModel):
-    command: str
-    user_id: str
-    title: str
-    content: str
-    timestamp: int  # timestamp in epoch
-
-
-####################
-# Forms
-####################
-
-
-class PromptForm(BaseModel):
-    command: str
-    title: str
-    content: str
-
-
-class PromptsTable:
-
-    def __init__(self, db):
-        self.db = db
-        self.db.create_tables([Prompt])
-
-    def insert_new_prompt(
-        self, user_id: str, form_data: PromptForm
-    ) -> Optional[PromptModel]:
-        prompt = PromptModel(
-            **{
-                "user_id": user_id,
-                "command": form_data.command,
-                "title": form_data.title,
-                "content": form_data.content,
-                "timestamp": int(time.time()),
-            }
-        )
-
-        try:
-            result = Prompt.create(**prompt.model_dump())
-            if result:
-                return prompt
-            else:
-                return None
-        except:
-            return None
-
-    def get_prompt_by_command(self, command: str) -> Optional[PromptModel]:
-        try:
-            prompt = Prompt.get(Prompt.command == command)
-            return PromptModel(**model_to_dict(prompt))
-        except:
-            return None
-
-    def get_prompts(self) -> List[PromptModel]:
-        return [
-            PromptModel(**model_to_dict(prompt))
-            for prompt in Prompt.select()
-            # .limit(limit).offset(skip)
-        ]
-
-    def update_prompt_by_command(
-        self, command: str, form_data: PromptForm
-    ) -> Optional[PromptModel]:
-        try:
-            query = Prompt.update(
-                title=form_data.title,
-                content=form_data.content,
-                timestamp=int(time.time()),
-            ).where(Prompt.command == command)
-
-            query.execute()
-
-            prompt = Prompt.get(Prompt.command == command)
-            return PromptModel(**model_to_dict(prompt))
-        except:
-            return None
-
-    def delete_prompt_by_command(self, command: str) -> bool:
-        try:
-            query = Prompt.delete().where((Prompt.command == command))
-            query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except:
-            return False
-
-
-Prompts = PromptsTable(DB)

backend/apps/web/models/tags.py

@@ -1,237 +0,0 @@
-from pydantic import BaseModel
-from typing import List, Union, Optional
-from peewee import *
-from playhouse.shortcuts import model_to_dict
-
-import json
-import uuid
-import time
-import logging
-
-from apps.web.internal.db import DB
-
-from config import SRC_LOG_LEVELS
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["MODELS"])
-
-####################
-# Tag DB Schema
-####################
-
-
-class Tag(Model):
-    id = CharField(unique=True)
-    name = CharField()
-    user_id = CharField()
-    data = TextField(null=True)
-
-    class Meta:
-        database = DB
-
-
-class ChatIdTag(Model):
-    id = CharField(unique=True)
-    tag_name = CharField()
-    chat_id = CharField()
-    user_id = CharField()
-    timestamp = DateField()
-
-    class Meta:
-        database = DB
-
-
-class TagModel(BaseModel):
-    id: str
-    name: str
-    user_id: str
-    data: Optional[str] = None
-
-
-class ChatIdTagModel(BaseModel):
-    id: str
-    tag_name: str
-    chat_id: str
-    user_id: str
-    timestamp: int
-
-
-####################
-# Forms
-####################
-
-
-class ChatIdTagForm(BaseModel):
-    tag_name: str
-    chat_id: str
-
-
-class TagChatIdsResponse(BaseModel):
-    chat_ids: List[str]
-
-
-class ChatTagsResponse(BaseModel):
-    tags: List[str]
-
-
-class TagTable:
-    def __init__(self, db):
-        self.db = db
-        db.create_tables([Tag, ChatIdTag])
-
-    def insert_new_tag(self, name: str, user_id: str) -> Optional[TagModel]:
-        id = str(uuid.uuid4())
-        tag = TagModel(**{"id": id, "user_id": user_id, "name": name})
-        try:
-            result = Tag.create(**tag.model_dump())
-            if result:
-                return tag
-            else:
-                return None
-        except Exception as e:
-            return None
-
-    def get_tag_by_name_and_user_id(
-        self, name: str, user_id: str
-    ) -> Optional[TagModel]:
-        try:
-            tag = Tag.get(Tag.name == name, Tag.user_id == user_id)
-            return TagModel(**model_to_dict(tag))
-        except Exception as e:
-            return None
-
-    def add_tag_to_chat(
-        self, user_id: str, form_data: ChatIdTagForm
-    ) -> Optional[ChatIdTagModel]:
-        tag = self.get_tag_by_name_and_user_id(form_data.tag_name, user_id)
-        if tag == None:
-            tag = self.insert_new_tag(form_data.tag_name, user_id)
-
-        id = str(uuid.uuid4())
-        chatIdTag = ChatIdTagModel(
-            **{
-                "id": id,
-                "user_id": user_id,
-                "chat_id": form_data.chat_id,
-                "tag_name": tag.name,
-                "timestamp": int(time.time()),
-            }
-        )
-        try:
-            result = ChatIdTag.create(**chatIdTag.model_dump())
-            if result:
-                return chatIdTag
-            else:
-                return None
-        except:
-            return None
-
-    def get_tags_by_user_id(self, user_id: str) -> List[TagModel]:
-        tag_names = [
-            ChatIdTagModel(**model_to_dict(chat_id_tag)).tag_name
-            for chat_id_tag in ChatIdTag.select()
-            .where(ChatIdTag.user_id == user_id)
-            .order_by(ChatIdTag.timestamp.desc())
-        ]
-
-        return [
-            TagModel(**model_to_dict(tag))
-            for tag in Tag.select()
-            .where(Tag.user_id == user_id)
-            .where(Tag.name.in_(tag_names))
-        ]
-
-    def get_tags_by_chat_id_and_user_id(
-        self, chat_id: str, user_id: str
-    ) -> List[TagModel]:
-        tag_names = [
-            ChatIdTagModel(**model_to_dict(chat_id_tag)).tag_name
-            for chat_id_tag in ChatIdTag.select()
-            .where((ChatIdTag.user_id == user_id) & (ChatIdTag.chat_id == chat_id))
-            .order_by(ChatIdTag.timestamp.desc())
-        ]
-
-        return [
-            TagModel(**model_to_dict(tag))
-            for tag in Tag.select()
-            .where(Tag.user_id == user_id)
-            .where(Tag.name.in_(tag_names))
-        ]
-
-    def get_chat_ids_by_tag_name_and_user_id(
-        self, tag_name: str, user_id: str
-    ) -> Optional[ChatIdTagModel]:
-        return [
-            ChatIdTagModel(**model_to_dict(chat_id_tag))
-            for chat_id_tag in ChatIdTag.select()
-            .where((ChatIdTag.user_id == user_id) & (ChatIdTag.tag_name == tag_name))
-            .order_by(ChatIdTag.timestamp.desc())
-        ]
-
-    def count_chat_ids_by_tag_name_and_user_id(
-        self, tag_name: str, user_id: str
-    ) -> int:
-        return (
-            ChatIdTag.select()
-            .where((ChatIdTag.tag_name == tag_name) & (ChatIdTag.user_id == user_id))
-            .count()
-        )
-
-    def delete_tag_by_tag_name_and_user_id(self, tag_name: str, user_id: str) -> bool:
-        try:
-            query = ChatIdTag.delete().where(
-                (ChatIdTag.tag_name == tag_name) & (ChatIdTag.user_id == user_id)
-            )
-            res = query.execute()  # Remove the rows, return number of rows removed.
-            log.debug(f"res: {res}")
-
-            tag_count = self.count_chat_ids_by_tag_name_and_user_id(tag_name, user_id)
-            if tag_count == 0:
-                # Remove tag item from Tag col as well
-                query = Tag.delete().where(
-                    (Tag.name == tag_name) & (Tag.user_id == user_id)
-                )
-                query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except Exception as e:
-            log.error(f"delete_tag: {e}")
-            return False
-
-    def delete_tag_by_tag_name_and_chat_id_and_user_id(
-        self, tag_name: str, chat_id: str, user_id: str
-    ) -> bool:
-        try:
-            query = ChatIdTag.delete().where(
-                (ChatIdTag.tag_name == tag_name)
-                & (ChatIdTag.chat_id == chat_id)
-                & (ChatIdTag.user_id == user_id)
-            )
-            res = query.execute()  # Remove the rows, return number of rows removed.
-            log.debug(f"res: {res}")
-
-            tag_count = self.count_chat_ids_by_tag_name_and_user_id(tag_name, user_id)
-            if tag_count == 0:
-                # Remove tag item from Tag col as well
-                query = Tag.delete().where(
-                    (Tag.name == tag_name) & (Tag.user_id == user_id)
-                )
-                query.execute()  # Remove the rows, return number of rows removed.
-
-            return True
-        except Exception as e:
-            log.error(f"delete_tag: {e}")
-            return False
-
-    def delete_tags_by_chat_id_and_user_id(self, chat_id: str, user_id: str) -> bool:
-        tags = self.get_tags_by_chat_id_and_user_id(chat_id, user_id)
-
-        for tag in tags:
-            self.delete_tag_by_tag_name_and_chat_id_and_user_id(
-                tag.tag_name, chat_id, user_id
-            )
-
-        return True
-
-
-Tags = TagTable(DB)

backend/apps/web/models/users.py

@@ -1,183 +0,0 @@
-from pydantic import BaseModel
-from peewee import *
-from playhouse.shortcuts import model_to_dict
-from typing import List, Union, Optional
-import time
-from utils.misc import get_gravatar_url
-
-from apps.web.internal.db import DB
-from apps.web.models.chats import Chats
-
-####################
-# User DB Schema
-####################
-
-
-class User(Model):
-    id = CharField(unique=True)
-    name = CharField()
-    email = CharField()
-    role = CharField()
-    profile_image_url = CharField()
-    timestamp = DateField()
-    api_key = CharField(null=True, unique=True)
-
-    class Meta:
-        database = DB
-
-
-class UserModel(BaseModel):
-    id: str
-    name: str
-    email: str
-    role: str = "pending"
-    profile_image_url: str
-    timestamp: int  # timestamp in epoch
-    api_key: Optional[str] = None
-
-
-####################
-# Forms
-####################
-
-
-class UserRoleUpdateForm(BaseModel):
-    id: str
-    role: str
-
-
-class UserUpdateForm(BaseModel):
-    name: str
-    email: str
-    profile_image_url: str
-    password: Optional[str] = None
-
-
-class UsersTable:
-    def __init__(self, db):
-        self.db = db
-        self.db.create_tables([User])
-
-    def insert_new_user(
-        self,
-        id: str,
-        name: str,
-        email: str,
-        profile_image_url: str = "/user.png",
-        role: str = "pending",
-    ) -> Optional[UserModel]:
-        user = UserModel(
-            **{
-                "id": id,
-                "name": name,
-                "email": email,
-                "role": role,
-                "profile_image_url": profile_image_url,
-                "timestamp": int(time.time()),
-            }
-        )
-        result = User.create(**user.model_dump())
-        if result:
-            return user
-        else:
-            return None
-
-    def get_user_by_id(self, id: str) -> Optional[UserModel]:
-        try:
-            user = User.get(User.id == id)
-            return UserModel(**model_to_dict(user))
-        except:
-            return None
-
-    def get_user_by_api_key(self, api_key: str) -> Optional[UserModel]:
-        try:
-            user = User.get(User.api_key == api_key)
-            return UserModel(**model_to_dict(user))
-        except:
-            return None
-
-    def get_user_by_email(self, email: str) -> Optional[UserModel]:
-        try:
-            user = User.get(User.email == email)
-            return UserModel(**model_to_dict(user))
-        except:
-            return None
-
-    def get_users(self, skip: int = 0, limit: int = 50) -> List[UserModel]:
-        return [
-            UserModel(**model_to_dict(user))
-            for user in User.select()
-            # .limit(limit).offset(skip)
-        ]
-
-    def get_num_users(self) -> Optional[int]:
-        return User.select().count()
-
-    def update_user_role_by_id(self, id: str, role: str) -> Optional[UserModel]:
-        try:
-            query = User.update(role=role).where(User.id == id)
-            query.execute()
-
-            user = User.get(User.id == id)
-            return UserModel(**model_to_dict(user))
-        except:
-            return None
-
-    def update_user_profile_image_url_by_id(
-        self, id: str, profile_image_url: str
-    ) -> Optional[UserModel]:
-        try:
-            query = User.update(profile_image_url=profile_image_url).where(
-                User.id == id
-            )
-            query.execute()
-
-            user = User.get(User.id == id)
-            return UserModel(**model_to_dict(user))
-        except:
-            return None
-
-    def update_user_by_id(self, id: str, updated: dict) -> Optional[UserModel]:
-        try:
-            query = User.update(**updated).where(User.id == id)
-            query.execute()
-
-            user = User.get(User.id == id)
-            return UserModel(**model_to_dict(user))
-        except:
-            return None
-
-    def delete_user_by_id(self, id: str) -> bool:
-        try:
-            # Delete User Chats
-            result = Chats.delete_chats_by_user_id(id)
-
-            if result:
-                # Delete User
-                query = User.delete().where(User.id == id)
-                query.execute()  # Remove the rows, return number of rows removed.
-
-                return True
-            else:
-                return False
-        except:
-            return False
-
-    def update_user_api_key_by_id(self, id: str, api_key: str) -> str:
-        try:
-            query = User.update(api_key=api_key).where(User.id == id)
-            result = query.execute()
-
-            return True if result == 1 else False
-        except:
-            return False
-
-    def get_user_api_key_by_id(self, id: str) -> Optional[str]:
-        try:
-            user = User.get(User.id == id)
-            return user.api_key
-        except:
-            return None
-
-
-Users = UsersTable(DB)

backend/apps/web/routers/auths.py

@@ -1,309 +0,0 @@
-from fastapi import Request
-from fastapi import Depends, HTTPException, status
-
-from fastapi import APIRouter
-from pydantic import BaseModel
-import re
-import uuid
-
-from apps.web.models.auths import (
-    SigninForm,
-    SignupForm,
-    UpdateProfileForm,
-    UpdatePasswordForm,
-    UserResponse,
-    SigninResponse,
-    Auths,
-    ApiKey,
-)
-from apps.web.models.users import Users
-
-from utils.utils import (
-    get_password_hash,
-    get_current_user,
-    get_admin_user,
-    create_token,
-    create_api_key,
-)
-from utils.misc import parse_duration, validate_email_format
-from utils.webhook import post_webhook
-from constants import ERROR_MESSAGES, WEBHOOK_MESSAGES
-from config import WEBUI_AUTH_TRUSTED_EMAIL_HEADER
-
-router = APIRouter()
-
-############################
-# GetSessionUser
-############################
-
-
-@router.get("/", response_model=UserResponse)
-async def get_session_user(user=Depends(get_current_user)):
-    return {
-        "id": user.id,
-        "email": user.email,
-        "name": user.name,
-        "role": user.role,
-        "profile_image_url": user.profile_image_url,
-    }
-
-
-############################
-# Update Profile
-############################
-
-
-@router.post("/update/profile", response_model=UserResponse)
-async def update_profile(
-    form_data: UpdateProfileForm, session_user=Depends(get_current_user)
-):
-    if session_user:
-        user = Users.update_user_by_id(
-            session_user.id,
-            {"profile_image_url": form_data.profile_image_url, "name": form_data.name},
-        )
-        if user:
-            return user
-        else:
-            raise HTTPException(400, detail=ERROR_MESSAGES.DEFAULT())
-    else:
-        raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
-
-
-############################
-# Update Password
-############################
-
-
-@router.post("/update/password", response_model=bool)
-async def update_password(
-    form_data: UpdatePasswordForm, session_user=Depends(get_current_user)
-):
-    if WEBUI_AUTH_TRUSTED_EMAIL_HEADER:
-        raise HTTPException(400, detail=ERROR_MESSAGES.ACTION_PROHIBITED)
-    if session_user:
-        user = Auths.authenticate_user(session_user.email, form_data.password)
-
-        if user:
-            hashed = get_password_hash(form_data.new_password)
-            return Auths.update_user_password_by_id(user.id, hashed)
-        else:
-            raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_PASSWORD)
-    else:
-        raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
-
-
-############################
-# SignIn
-############################
-
-
-@router.post("/signin", response_model=SigninResponse)
-async def signin(request: Request, form_data: SigninForm):
-    if WEBUI_AUTH_TRUSTED_EMAIL_HEADER:
-        if WEBUI_AUTH_TRUSTED_EMAIL_HEADER not in request.headers:
-            raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_TRUSTED_HEADER)
-
-        trusted_email = request.headers[WEBUI_AUTH_TRUSTED_EMAIL_HEADER].lower()
-        if not Users.get_user_by_email(trusted_email.lower()):
-            await signup(
-                request,
-                SignupForm(
-                    email=trusted_email, password=str(uuid.uuid4()), name=trusted_email
-                ),
-            )
-        user = Auths.authenticate_user_by_trusted_header(trusted_email)
-    else:
-        user = Auths.authenticate_user(form_data.email.lower(), form_data.password)
-
-    if user:
-        token = create_token(
-            data={"id": user.id},
-            expires_delta=parse_duration(request.app.state.JWT_EXPIRES_IN),
-        )
-
-        return {
-            "token": token,
-            "token_type": "Bearer",
-            "id": user.id,
-            "email": user.email,
-            "name": user.name,
-            "role": user.role,
-            "profile_image_url": user.profile_image_url,
-        }
-    else:
-        raise HTTPException(400, detail=ERROR_MESSAGES.INVALID_CRED)
-
-
-############################
-# SignUp
-############################
-
-
-@router.post("/signup", response_model=SigninResponse)
-async def signup(request: Request, form_data: SignupForm):
-    if not request.app.state.ENABLE_SIGNUP:
-        raise HTTPException(
-            status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED
-        )
-
-    if not validate_email_format(form_data.email.lower()):
-        raise HTTPException(
-            status.HTTP_400_BAD_REQUEST, detail=ERROR_MESSAGES.INVALID_EMAIL_FORMAT
-        )
-
-    if Users.get_user_by_email(form_data.email.lower()):
-        raise HTTPException(400, detail=ERROR_MESSAGES.EMAIL_TAKEN)
-
-    try:
-        role = (
-            "admin"
-            if Users.get_num_users() == 0
-            else request.app.state.DEFAULT_USER_ROLE
-        )
-        hashed = get_password_hash(form_data.password)
-        user = Auths.insert_new_auth(
-            form_data.email.lower(),
-            hashed,
-            form_data.name,
-            form_data.profile_image_url,
-            role,
-        )
-
-        if user:
-            token = create_token(
-                data={"id": user.id},
-                expires_delta=parse_duration(request.app.state.JWT_EXPIRES_IN),
-            )
-            # response.set_cookie(key='token', value=token, httponly=True)
-
-            if request.app.state.WEBHOOK_URL:
-                post_webhook(
-                    request.app.state.WEBHOOK_URL,
-                    WEBHOOK_MESSAGES.USER_SIGNUP(user.name),
-                    {
-                        "action": "signup",
-                        "message": WEBHOOK_MESSAGES.USER_SIGNUP(user.name),
-                        "user": user.model_dump_json(exclude_none=True),
-                    },
-                )
-
-            return {
-                "token": token,
-                "token_type": "Bearer",
-                "id": user.id,
-                "email": user.email,
-                "name": user.name,
-                "role": user.role,
-                "profile_image_url": user.profile_image_url,
-            }
-        else:
-            raise HTTPException(500, detail=ERROR_MESSAGES.CREATE_USER_ERROR)
-    except Exception as err:
-        raise HTTPException(500, detail=ERROR_MESSAGES.DEFAULT(err))
-
-
-############################
-# ToggleSignUp
-############################
-
-
-@router.get("/signup/enabled", response_model=bool)
-async def get_sign_up_status(request: Request, user=Depends(get_admin_user)):
-    return request.app.state.ENABLE_SIGNUP
-
-
-@router.get("/signup/enabled/toggle", response_model=bool)
-async def toggle_sign_up(request: Request, user=Depends(get_admin_user)):
-    request.app.state.ENABLE_SIGNUP = not request.app.state.ENABLE_SIGNUP
-    return request.app.state.ENABLE_SIGNUP
-
-
-############################
-# Default User Role
-############################
-
-
-@router.get("/signup/user/role")
-async def get_default_user_role(request: Request, user=Depends(get_admin_user)):
-    return request.app.state.DEFAULT_USER_ROLE
-
-
-class UpdateRoleForm(BaseModel):
-    role: str
-
-
-@router.post("/signup/user/role")
-async def update_default_user_role(
-    request: Request, form_data: UpdateRoleForm, user=Depends(get_admin_user)
-):
-    if form_data.role in ["pending", "user", "admin"]:
-        request.app.state.DEFAULT_USER_ROLE = form_data.role
-    return request.app.state.DEFAULT_USER_ROLE
-
-
-############################
-# JWT Expiration
-############################
-
-
-@router.get("/token/expires")
-async def get_token_expires_duration(request: Request, user=Depends(get_admin_user)):
-    return request.app.state.JWT_EXPIRES_IN
-
-
-class UpdateJWTExpiresDurationForm(BaseModel):
-    duration: str
-
-
-@router.post("/token/expires/update")
-async def update_token_expires_duration(
-    request: Request,
-    form_data: UpdateJWTExpiresDurationForm,
-    user=Depends(get_admin_user),
-):
-    pattern = r"^(-1|0|(-?\d+(\.\d+)?)(ms|s|m|h|d|w))$"
-
-    # Check if the input string matches the pattern
-    if re.match(pattern, form_data.duration):
-        request.app.state.JWT_EXPIRES_IN = form_data.duration
-        return request.app.state.JWT_EXPIRES_IN
-    else:
-        return request.app.state.JWT_EXPIRES_IN
-
-
-############################
-# API Key
-############################
-
-
-# create api key
-@router.post("/api_key", response_model=ApiKey)
-async def create_api_key_(user=Depends(get_current_user)):
-    api_key = create_api_key()
-    success = Users.update_user_api_key_by_id(user.id, api_key)
-    if success:
-        return {
-            "api_key": api_key,
-        }
-    else:
-        raise HTTPException(500, detail=ERROR_MESSAGES.CREATE_API_KEY_ERROR)
-
-
-# delete api key
-@router.delete("/api_key", response_model=bool)
-async def delete_api_key(user=Depends(get_current_user)):
-    success = Users.update_user_api_key_by_id(user.id, None)
-    return success
-
-
-# get api key
-@router.get("/api_key", response_model=ApiKey)
-async def get_api_key(user=Depends(get_current_user)):
-    api_key = Users.get_user_api_key_by_id(user.id)
-    if api_key:
-        return {
-            "api_key": api_key,
-        }
-    else:
-        raise HTTPException(404, detail=ERROR_MESSAGES.API_KEY_NOT_FOUND)

backend/apps/web/routers/configs.py

@@ -1,59 +0,0 @@
-from fastapi import Response, Request
-from fastapi import Depends, FastAPI, HTTPException, status
-from datetime import datetime, timedelta
-from typing import List, Union
-
-from fastapi import APIRouter
-from pydantic import BaseModel
-import time
-import uuid
-
-from apps.web.models.users import Users
-
-from utils.utils import (
-    get_password_hash,
-    get_current_user,
-    get_admin_user,
-    create_token,
-)
-from utils.misc import get_gravatar_url, validate_email_format
-from constants import ERROR_MESSAGES
-
-router = APIRouter()
-
-
-class SetDefaultModelsForm(BaseModel):
-    models: str
-
-
-class PromptSuggestion(BaseModel):
-    title: List[str]
-    content: str
-
-
-class SetDefaultSuggestionsForm(BaseModel):
-    suggestions: List[PromptSuggestion]
-
-
-############################
-# SetDefaultModels
-############################
-
-
-@router.post("/default/models", response_model=str)
-async def set_global_default_models(
-    request: Request, form_data: SetDefaultModelsForm, user=Depends(get_admin_user)
-):
-    request.app.state.DEFAULT_MODELS = form_data.models
-    return request.app.state.DEFAULT_MODELS
-
-
-@router.post("/default/suggestions", response_model=List[PromptSuggestion])
-async def set_global_default_suggestions(
-    request: Request,
-    form_data: SetDefaultSuggestionsForm,
-    user=Depends(get_admin_user),
-):
-    data = form_data.model_dump()
-    request.app.state.DEFAULT_PROMPT_SUGGESTIONS = data["suggestions"]
-    return request.app.state.DEFAULT_PROMPT_SUGGESTIONS

backend/apps/web/routers/modelfiles.py

@@ -1,124 +0,0 @@
-from fastapi import Depends, FastAPI, HTTPException, status
-from datetime import datetime, timedelta
-from typing import List, Union, Optional
-
-from fastapi import APIRouter
-from pydantic import BaseModel
-import json
-from apps.web.models.modelfiles import (
-    Modelfiles,
-    ModelfileForm,
-    ModelfileTagNameForm,
-    ModelfileUpdateForm,
-    ModelfileResponse,
-)
-
-from utils.utils import get_current_user, get_admin_user
-from constants import ERROR_MESSAGES
-
-router = APIRouter()
-
-############################
-# GetModelfiles
-############################
-
-
-@router.get("/", response_model=List[ModelfileResponse])
-async def get_modelfiles(
-    skip: int = 0, limit: int = 50, user=Depends(get_current_user)
-):
-    return Modelfiles.get_modelfiles(skip, limit)
-
-
-############################
-# CreateNewModelfile
-############################
-
-
-@router.post("/create", response_model=Optional[ModelfileResponse])
-async def create_new_modelfile(form_data: ModelfileForm, user=Depends(get_admin_user)):
-    modelfile = Modelfiles.insert_new_modelfile(user.id, form_data)
-
-    if modelfile:
-        return ModelfileResponse(
-            **{
-                **modelfile.model_dump(),
-                "modelfile": json.loads(modelfile.modelfile),
-            }
-        )
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail=ERROR_MESSAGES.DEFAULT(),
-        )
-
-
-############################
-# GetModelfileByTagName
-############################
-
-
-@router.post("/", response_model=Optional[ModelfileResponse])
-async def get_modelfile_by_tag_name(
-    form_data: ModelfileTagNameForm, user=Depends(get_current_user)
-):
-    modelfile = Modelfiles.get_modelfile_by_tag_name(form_data.tag_name)
-
-    if modelfile:
-        return ModelfileResponse(
-            **{
-                **modelfile.model_dump(),
-                "modelfile": json.loads(modelfile.modelfile),
-            }
-        )
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail=ERROR_MESSAGES.NOT_FOUND,
-        )
-
-
-############################
-# UpdateModelfileByTagName
-############################
-
-
-@router.post("/update", response_model=Optional[ModelfileResponse])
-async def update_modelfile_by_tag_name(
-    form_data: ModelfileUpdateForm, user=Depends(get_admin_user)
-):
-    modelfile = Modelfiles.get_modelfile_by_tag_name(form_data.tag_name)
-    if modelfile:
-        updated_modelfile = {
-            **json.loads(modelfile.modelfile),
-            **form_data.modelfile,
-        }
-
-        modelfile = Modelfiles.update_modelfile_by_tag_name(
-            form_data.tag_name, updated_modelfile
-        )
-
-        return ModelfileResponse(
-            **{
-                **modelfile.model_dump(),
-                "modelfile": json.loads(modelfile.modelfile),
-            }
-        )
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
-        )
-
-
-############################
-# DeleteModelfileByTagName
-############################
-
-
-@router.delete("/delete", response_model=bool)
-async def delete_modelfile_by_tag_name(
-    form_data: ModelfileTagNameForm, user=Depends(get_admin_user)
-):
-    result = Modelfiles.delete_modelfile_by_tag_name(form_data.tag_name)
-    return result

backend/apps/web/routers/users.py

@@ -1,140 +0,0 @@
-from fastapi import Response, Request
-from fastapi import Depends, FastAPI, HTTPException, status
-from datetime import datetime, timedelta
-from typing import List, Union, Optional
-
-from fastapi import APIRouter
-from pydantic import BaseModel
-import time
-import uuid
-import logging
-
-from apps.web.models.users import UserModel, UserUpdateForm, UserRoleUpdateForm, Users
-from apps.web.models.auths import Auths
-
-from utils.utils import get_current_user, get_password_hash, get_admin_user
-from constants import ERROR_MESSAGES
-
-from config import SRC_LOG_LEVELS
-
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["MODELS"])
-
-router = APIRouter()
-
-############################
-# GetUsers
-############################
-
-
-@router.get("/", response_model=List[UserModel])
-async def get_users(skip: int = 0, limit: int = 50, user=Depends(get_admin_user)):
-    return Users.get_users(skip, limit)
-
-
-############################
-# User Permissions
-############################
-
-
-@router.get("/permissions/user")
-async def get_user_permissions(request: Request, user=Depends(get_admin_user)):
-    return request.app.state.USER_PERMISSIONS
-
-
-@router.post("/permissions/user")
-async def update_user_permissions(
-    request: Request, form_data: dict, user=Depends(get_admin_user)
-):
-    request.app.state.USER_PERMISSIONS = form_data
-    return request.app.state.USER_PERMISSIONS
-
-
-############################
-# UpdateUserRole
-############################
-
-
-@router.post("/update/role", response_model=Optional[UserModel])
-async def update_user_role(form_data: UserRoleUpdateForm, user=Depends(get_admin_user)):
-
-    if user.id != form_data.id:
-        return Users.update_user_role_by_id(form_data.id, form_data.role)
-
-    raise HTTPException(
-        status_code=status.HTTP_403_FORBIDDEN,
-        detail=ERROR_MESSAGES.ACTION_PROHIBITED,
-    )
-
-
-############################
-# UpdateUserById
-############################
-
-
-@router.post("/{user_id}/update", response_model=Optional[UserModel])
-async def update_user_by_id(
-    user_id: str, form_data: UserUpdateForm, session_user=Depends(get_admin_user)
-):
-    user = Users.get_user_by_id(user_id)
-
-    if user:
-        if form_data.email.lower() != user.email:
-            email_user = Users.get_user_by_email(form_data.email.lower())
-            if email_user:
-                raise HTTPException(
-                    status_code=status.HTTP_400_BAD_REQUEST,
-                    detail=ERROR_MESSAGES.EMAIL_TAKEN,
-                )
-
-        if form_data.password:
-            hashed = get_password_hash(form_data.password)
-            log.debug(f"hashed: {hashed}")
-            Auths.update_user_password_by_id(user_id, hashed)
-
-        Auths.update_email_by_id(user_id, form_data.email.lower())
-        updated_user = Users.update_user_by_id(
-            user_id,
-            {
-                "name": form_data.name,
-                "email": form_data.email.lower(),
-                "profile_image_url": form_data.profile_image_url,
-            },
-        )
-
-        if updated_user:
-            return updated_user
-
-        raise HTTPException(
-            status_code=status.HTTP_400_BAD_REQUEST,
-            detail=ERROR_MESSAGES.DEFAULT(),
-        )
-
-    raise HTTPException(
-        status_code=status.HTTP_400_BAD_REQUEST,
-        detail=ERROR_MESSAGES.USER_NOT_FOUND,
-    )
-
-
-############################
-# DeleteUserById
-############################
-
-
-@router.delete("/{user_id}", response_model=bool)
-async def delete_user_by_id(user_id: str, user=Depends(get_admin_user)):
-    if user.id != user_id:
-        result = Auths.delete_auth_by_id(user_id)
-
-        if result:
-            return True
-
-        raise HTTPException(
-            status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
-            detail=ERROR_MESSAGES.DELETE_USER_ERROR,
-        )
-
-    raise HTTPException(
-        status_code=status.HTTP_403_FORBIDDEN,
-        detail=ERROR_MESSAGES.ACTION_PROHIBITED,
-    )

backend/config.py

@@ -1,510 +0,0 @@
-import os
-import sys
-import logging
-import chromadb
-from chromadb import Settings
-from base64 import b64encode
-from bs4 import BeautifulSoup
-
-from pathlib import Path
-import json
-import yaml
-
-import markdown
-import requests
-import shutil
-
-from secrets import token_bytes
-from constants import ERROR_MESSAGES
-
-
-####################################
-# LOGGING
-####################################
-
-log_levels = ["CRITICAL", "ERROR", "WARNING", "INFO", "DEBUG"]
-
-GLOBAL_LOG_LEVEL = os.environ.get("GLOBAL_LOG_LEVEL", "").upper()
-if GLOBAL_LOG_LEVEL in log_levels:
-    logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL, force=True)
-else:
-    GLOBAL_LOG_LEVEL = "INFO"
-
-log = logging.getLogger(__name__)
-log.info(f"GLOBAL_LOG_LEVEL: {GLOBAL_LOG_LEVEL}")
-
-log_sources = [
-    "AUDIO",
-    "COMFYUI",
-    "CONFIG",
-    "DB",
-    "IMAGES",
-    "LITELLM",
-    "MAIN",
-    "MODELS",
-    "OLLAMA",
-    "OPENAI",
-    "RAG",
-    "WEBHOOK",
-]
-
-SRC_LOG_LEVELS = {}
-
-for source in log_sources:
-    log_env_var = source + "_LOG_LEVEL"
-    SRC_LOG_LEVELS[source] = os.environ.get(log_env_var, "").upper()
-    if SRC_LOG_LEVELS[source] not in log_levels:
-        SRC_LOG_LEVELS[source] = GLOBAL_LOG_LEVEL
-    log.info(f"{log_env_var}: {SRC_LOG_LEVELS[source]}")
-
-log.setLevel(SRC_LOG_LEVELS["CONFIG"])
-
-####################################
-# Load .env file
-####################################
-
-try:
-    from dotenv import load_dotenv, find_dotenv
-
-    load_dotenv(find_dotenv("../.env"))
-except ImportError:
-    log.warning("dotenv not installed, skipping...")
-
-WEBUI_NAME = os.environ.get("WEBUI_NAME", "Open WebUI")
-WEBUI_FAVICON_URL = "https://openwebui.com/favicon.png"
-
-####################################
-# ENV (dev,test,prod)
-####################################
-
-ENV = os.environ.get("ENV", "dev")
-
-try:
-    with open(f"../package.json", "r") as f:
-        PACKAGE_DATA = json.load(f)
-except:
-    PACKAGE_DATA = {"version": "0.0.0"}
-
-VERSION = PACKAGE_DATA["version"]
-
-
-# Function to parse each section
-def parse_section(section):
-    items = []
-    for li in section.find_all("li"):
-        # Extract raw HTML string
-        raw_html = str(li)
-
-        # Extract text without HTML tags
-        text = li.get_text(separator=" ", strip=True)
-
-        # Split into title and content
-        parts = text.split(": ", 1)
-        title = parts[0].strip() if len(parts) > 1 else ""
-        content = parts[1].strip() if len(parts) > 1 else text
-
-        items.append({"title": title, "content": content, "raw": raw_html})
-    return items
-
-
-try:
-    with open("../CHANGELOG.md", "r") as file:
-        changelog_content = file.read()
-except:
-    changelog_content = ""
-
-# Convert markdown content to HTML
-html_content = markdown.markdown(changelog_content)
-
-# Parse the HTML content
-soup = BeautifulSoup(html_content, "html.parser")
-
-# Initialize JSON structure
-changelog_json = {}
-
-# Iterate over each version
-for version in soup.find_all("h2"):
-    version_number = version.get_text().strip().split(" - ")[0][1:-1]  # Remove brackets
-    date = version.get_text().strip().split(" - ")[1]
-
-    version_data = {"date": date}
-
-    # Find the next sibling that is a h3 tag (section title)
-    current = version.find_next_sibling()
-
-    while current and current.name != "h2":
-        if current.name == "h3":
-            section_title = current.get_text().lower()  # e.g., "added", "fixed"
-            section_items = parse_section(current.find_next_sibling("ul"))
-            version_data[section_title] = section_items
-
-        # Move to the next element
-        current = current.find_next_sibling()
-
-    changelog_json[version_number] = version_data
-
-
-CHANGELOG = changelog_json
-
-####################################
-# DATA/FRONTEND BUILD DIR
-####################################
-
-DATA_DIR = str(Path(os.getenv("DATA_DIR", "./data")).resolve())
-FRONTEND_BUILD_DIR = str(Path(os.getenv("FRONTEND_BUILD_DIR", "../build")))
-
-try:
-    with open(f"{DATA_DIR}/config.json", "r") as f:
-        CONFIG_DATA = json.load(f)
-except:
-    CONFIG_DATA = {}
-
-####################################
-# Static DIR
-####################################
-
-STATIC_DIR = str(Path(os.getenv("STATIC_DIR", "./static")).resolve())
-
-shutil.copyfile(f"{FRONTEND_BUILD_DIR}/favicon.png", f"{STATIC_DIR}/favicon.png")
-
-####################################
-# CUSTOM_NAME
-####################################
-
-CUSTOM_NAME = os.environ.get("CUSTOM_NAME", "")
-
-if CUSTOM_NAME:
-    try:
-        r = requests.get(f"https://api.openwebui.com/api/v1/custom/{CUSTOM_NAME}")
-        data = r.json()
-        if r.ok:
-            if "logo" in data:
-                WEBUI_FAVICON_URL = url = (
-                    f"https://api.openwebui.com{data['logo']}"
-                    if data["logo"][0] == "/"
-                    else data["logo"]
-                )
-
-                r = requests.get(url, stream=True)
-                if r.status_code == 200:
-                    with open(f"{STATIC_DIR}/favicon.png", "wb") as f:
-                        r.raw.decode_content = True
-                        shutil.copyfileobj(r.raw, f)
-
-            WEBUI_NAME = data["name"]
-    except Exception as e:
-        log.exception(e)
-        pass
-else:
-    if WEBUI_NAME != "Open WebUI":
-        WEBUI_NAME += " (Open WebUI)"
-
-
-####################################
-# File Upload DIR
-####################################
-
-UPLOAD_DIR = f"{DATA_DIR}/uploads"
-Path(UPLOAD_DIR).mkdir(parents=True, exist_ok=True)
-
-
-####################################
-# Cache DIR
-####################################
-
-CACHE_DIR = f"{DATA_DIR}/cache"
-Path(CACHE_DIR).mkdir(parents=True, exist_ok=True)
-
-
-####################################
-# Docs DIR
-####################################
-
-DOCS_DIR = f"{DATA_DIR}/docs"
-Path(DOCS_DIR).mkdir(parents=True, exist_ok=True)
-
-
-####################################
-# LITELLM_CONFIG
-####################################
-
-
-def create_config_file(file_path):
-    directory = os.path.dirname(file_path)
-
-    # Check if directory exists, if not, create it
-    if not os.path.exists(directory):
-        os.makedirs(directory)
-
-    # Data to write into the YAML file
-    config_data = {
-        "general_settings": {},
-        "litellm_settings": {},
-        "model_list": [],
-        "router_settings": {},
-    }
-
-    # Write data to YAML file
-    with open(file_path, "w") as file:
-        yaml.dump(config_data, file)
-
-
-LITELLM_CONFIG_PATH = f"{DATA_DIR}/litellm/config.yaml"
-
-if not os.path.exists(LITELLM_CONFIG_PATH):
-    log.info("Config file doesn't exist. Creating...")
-    create_config_file(LITELLM_CONFIG_PATH)
-    log.info("Config file created successfully.")
-
-
-####################################
-# OLLAMA_BASE_URL
-####################################
-
-OLLAMA_API_BASE_URL = os.environ.get(
-    "OLLAMA_API_BASE_URL", "http://localhost:11434/api"
-)
-
-OLLAMA_BASE_URL = os.environ.get("OLLAMA_BASE_URL", "")
-K8S_FLAG = os.environ.get("K8S_FLAG", "")
-USE_OLLAMA_DOCKER = os.environ.get("USE_OLLAMA_DOCKER", "false")
-
-if OLLAMA_BASE_URL == "" and OLLAMA_API_BASE_URL != "":
-    OLLAMA_BASE_URL = (
-        OLLAMA_API_BASE_URL[:-4]
-        if OLLAMA_API_BASE_URL.endswith("/api")
-        else OLLAMA_API_BASE_URL
-    )
-
-if ENV == "prod":
-    if OLLAMA_BASE_URL == "/ollama" and not K8S_FLAG:
-        if USE_OLLAMA_DOCKER.lower() == "true":
-            # if you use all-in-one docker container (Open WebUI + Ollama)
-            # with the docker build arg USE_OLLAMA=true (--build-arg="USE_OLLAMA=true") this only works with http://localhost:11434
-            OLLAMA_BASE_URL = "http://localhost:11434"
-        else:
-            OLLAMA_BASE_URL = "http://host.docker.internal:11434"
-    elif K8S_FLAG:
-        OLLAMA_BASE_URL = "http://ollama-service.open-webui.svc.cluster.local:11434"
-
-
-OLLAMA_BASE_URLS = os.environ.get("OLLAMA_BASE_URLS", "")
-OLLAMA_BASE_URLS = OLLAMA_BASE_URLS if OLLAMA_BASE_URLS != "" else OLLAMA_BASE_URL
-
-OLLAMA_BASE_URLS = [url.strip() for url in OLLAMA_BASE_URLS.split(";")]
-
-
-####################################
-# OPENAI_API
-####################################
-
-OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
-OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
-
-
-if OPENAI_API_BASE_URL == "":
-    OPENAI_API_BASE_URL = "https://api.openai.com/v1"
-
-OPENAI_API_KEYS = os.environ.get("OPENAI_API_KEYS", "")
-OPENAI_API_KEYS = OPENAI_API_KEYS if OPENAI_API_KEYS != "" else OPENAI_API_KEY
-
-OPENAI_API_KEYS = [url.strip() for url in OPENAI_API_KEYS.split(";")]
-
-
-OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "")
-OPENAI_API_BASE_URLS = (
-    OPENAI_API_BASE_URLS if OPENAI_API_BASE_URLS != "" else OPENAI_API_BASE_URL
-)
-
-OPENAI_API_BASE_URLS = [
-    url.strip() if url != "" else "https://api.openai.com/v1"
-    for url in OPENAI_API_BASE_URLS.split(";")
-]
-
-OPENAI_API_KEY = ""
-
-try:
-    OPENAI_API_KEY = OPENAI_API_KEYS[
-        OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
-    ]
-except:
-    pass
-
-OPENAI_API_BASE_URL = "https://api.openai.com/v1"
-
-
-####################################
-# WEBUI
-####################################
-
-ENABLE_SIGNUP = os.environ.get("ENABLE_SIGNUP", "True").lower() == "true"
-DEFAULT_MODELS = os.environ.get("DEFAULT_MODELS", None)
-
-
-DEFAULT_PROMPT_SUGGESTIONS = (
-    CONFIG_DATA["ui"]["prompt_suggestions"]
-    if "ui" in CONFIG_DATA
-    and "prompt_suggestions" in CONFIG_DATA["ui"]
-    and type(CONFIG_DATA["ui"]["prompt_suggestions"]) is list
-    else [
-        {
-            "title": ["Help me study", "vocabulary for a college entrance exam"],
-            "content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option.",
-        },
-        {
-            "title": ["Give me ideas", "for what to do with my kids' art"],
-            "content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.",
-        },
-        {
-            "title": ["Tell me a fun fact", "about the Roman Empire"],
-            "content": "Tell me a random fun fact about the Roman Empire",
-        },
-        {
-            "title": ["Show me a code snippet", "of a website's sticky header"],
-            "content": "Show me a code snippet of a website's sticky header in CSS and JavaScript.",
-        },
-    ]
-)
-
-
-DEFAULT_USER_ROLE = os.getenv("DEFAULT_USER_ROLE", "pending")
-
-USER_PERMISSIONS_CHAT_DELETION = (
-    os.environ.get("USER_PERMISSIONS_CHAT_DELETION", "True").lower() == "true"
-)
-
-USER_PERMISSIONS = {"chat": {"deletion": USER_PERMISSIONS_CHAT_DELETION}}
-
-
-MODEL_FILTER_ENABLED = os.environ.get("MODEL_FILTER_ENABLED", "False").lower() == "true"
-MODEL_FILTER_LIST = os.environ.get("MODEL_FILTER_LIST", "")
-MODEL_FILTER_LIST = [model.strip() for model in MODEL_FILTER_LIST.split(";")]
-
-WEBHOOK_URL = os.environ.get("WEBHOOK_URL", "")
-
-ENABLE_ADMIN_EXPORT = os.environ.get("ENABLE_ADMIN_EXPORT", "True").lower() == "true"
-
-####################################
-# WEBUI_VERSION
-####################################
-
-WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.100")
-
-####################################
-# WEBUI_AUTH (Required for security)
-####################################
-
-WEBUI_AUTH = True
-WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get(
-    "WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None
-)
-
-####################################
-# WEBUI_SECRET_KEY
-####################################
-
-WEBUI_SECRET_KEY = os.environ.get(
-    "WEBUI_SECRET_KEY",
-    os.environ.get(
-        "WEBUI_JWT_SECRET_KEY", "t0p-s3cr3t"
-    ),  # DEPRECATED: remove at next major version
-)
-
-if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
-    raise ValueError(ERROR_MESSAGES.ENV_VAR_NOT_FOUND)
-
-####################################
-# RAG
-####################################
-
-CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
-# this uses the model defined in the Dockerfile ENV variable. If you dont use docker or docker based deployments such as k8s, the default embedding model will be used (sentence-transformers/all-MiniLM-L6-v2)
-
-RAG_EMBEDDING_ENGINE = os.environ.get("RAG_EMBEDDING_ENGINE", "")
-
-RAG_EMBEDDING_MODEL = os.environ.get(
-    "RAG_EMBEDDING_MODEL", "sentence-transformers/all-MiniLM-L6-v2"
-)
-log.info(f"Embedding model set: {RAG_EMBEDDING_MODEL}"),
-
-RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE = (
-    os.environ.get("RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE", "").lower() == "true"
-)
-
-# device type embedding models - "cpu" (default), "cuda" (nvidia gpu required) or "mps" (apple silicon) - choosing this right can lead to better performance
-USE_CUDA = os.environ.get("USE_CUDA_DOCKER", "false")
-
-if USE_CUDA.lower() == "true":
-    DEVICE_TYPE = "cuda"
-else:
-    DEVICE_TYPE = "cpu"
-
-
-CHROMA_CLIENT = chromadb.PersistentClient(
-    path=CHROMA_DATA_PATH,
-    settings=Settings(allow_reset=True, anonymized_telemetry=False),
-)
-CHUNK_SIZE = 1500
-CHUNK_OVERLAP = 100
-
-
-RAG_TEMPLATE = """Use the following context as your learned knowledge, inside <context></context> XML tags.
-<context>
-    [context]
-</context>
-
-When answer to user:
-- If you don't know, just say that you don't know.
-- If you don't know when you are not sure, ask for clarification.
-Avoid mentioning that you obtained the information from the context.
-And answer according to the language of the user's question.
-        
-Given the context information, answer the query.
-Query: [query]"""
-
-RAG_OPENAI_API_BASE_URL = os.getenv("RAG_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL)
-RAG_OPENAI_API_KEY = os.getenv("RAG_OPENAI_API_KEY", OPENAI_API_KEY)
-
-####################################
-# Transcribe
-####################################
-
-WHISPER_MODEL = os.getenv("WHISPER_MODEL", "base")
-WHISPER_MODEL_DIR = os.getenv("WHISPER_MODEL_DIR", f"{CACHE_DIR}/whisper/models")
-WHISPER_MODEL_AUTO_UPDATE = (
-    os.environ.get("WHISPER_MODEL_AUTO_UPDATE", "").lower() == "true"
-)
-
-
-####################################
-# Images
-####################################
-
-ENABLE_IMAGE_GENERATION = (
-    os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true"
-)
-AUTOMATIC1111_BASE_URL = os.getenv("AUTOMATIC1111_BASE_URL", "")
-COMFYUI_BASE_URL = os.getenv("COMFYUI_BASE_URL", "")
-
-
-IMAGES_OPENAI_API_BASE_URL = os.getenv(
-    "IMAGES_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL
-)
-IMAGES_OPENAI_API_KEY = os.getenv("IMAGES_OPENAI_API_KEY", OPENAI_API_KEY)
-
-
-####################################
-# Audio
-####################################
-
-AUDIO_OPENAI_API_BASE_URL = os.getenv("AUDIO_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL)
-AUDIO_OPENAI_API_KEY = os.getenv("AUDIO_OPENAI_API_KEY", OPENAI_API_KEY)
-
-####################################
-# LiteLLM
-####################################
-
-LITELLM_PROXY_PORT = int(os.getenv("LITELLM_PROXY_PORT", "14365"))
-if LITELLM_PROXY_PORT < 0 or LITELLM_PROXY_PORT > 65535:
-    raise ValueError("Invalid port number for LITELLM_PROXY_PORT")
-LITELLM_PROXY_HOST = os.getenv("LITELLM_PROXY_HOST", "127.0.0.1")

backend/data/config.json

@@ -1,24 +0,0 @@
-{
-	"version": 0,
-	"ui": {
-		"default_locale": "en-US",
-		"prompt_suggestions": [
-			{
-				"title": ["Help me study", "vocabulary for a college entrance exam"],
-				"content": "Help me study vocabulary: write a sentence for me to fill in the blank, and I'll try to pick the correct option."
-			},
-			{
-				"title": ["Give me ideas", "for what to do with my kids' art"],
-				"content": "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter."
-			},
-			{
-				"title": ["Tell me a fun fact", "about the Roman Empire"],
-				"content": "Tell me a random fun fact about the Roman Empire"
-			},
-			{
-				"title": ["Show me a code snippet", "of a website's sticky header"],
-				"content": "Show me a code snippet of a website's sticky header in CSS and JavaScript."
-			}
-		]
-	}
-}

backend/data/litellm/config.yaml

@@ -1,4 +0,0 @@
-general_settings: {}
-litellm_settings: {}
-model_list: []
-router_settings: {}

backend/data/readme.txt

@@ -1 +1 @@
-dir for backend files (db, documents, etc.)
+docker dir for backend files (db, documents, etc.)

backend/dev.sh

@@ -1,2 +1,2 @@
 PORT="${PORT:-8080}"
-uvicorn main:app --port $PORT --host 0.0.0.0 --forwarded-allow-ips '*' --reload
+uvicorn open_webui.main:app --port $PORT --host 0.0.0.0 --forwarded-allow-ips '*' --reload

backend/main.py

@@ -1,329 +0,0 @@
-from bs4 import BeautifulSoup
-import json
-import markdown
-import time
-import os
-import sys
-import logging
-import aiohttp
-import requests
-
-from fastapi import FastAPI, Request, Depends, status
-from fastapi.staticfiles import StaticFiles
-from fastapi import HTTPException
-from fastapi.middleware.wsgi import WSGIMiddleware
-from fastapi.middleware.cors import CORSMiddleware
-from starlette.exceptions import HTTPException as StarletteHTTPException
-from starlette.middleware.base import BaseHTTPMiddleware
-
-
-from apps.ollama.main import app as ollama_app
-from apps.openai.main import app as openai_app
-
-from apps.litellm.main import (
-    app as litellm_app,
-    start_litellm_background,
-    shutdown_litellm_background,
-)
-from apps.audio.main import app as audio_app
-from apps.images.main import app as images_app
-from apps.rag.main import app as rag_app
-from apps.web.main import app as webui_app
-
-import asyncio
-from pydantic import BaseModel
-from typing import List
-
-
-from utils.utils import get_admin_user
-from apps.rag.utils import rag_messages
-
-from config import (
-    CONFIG_DATA,
-    WEBUI_NAME,
-    ENV,
-    VERSION,
-    CHANGELOG,
-    FRONTEND_BUILD_DIR,
-    CACHE_DIR,
-    STATIC_DIR,
-    MODEL_FILTER_ENABLED,
-    MODEL_FILTER_LIST,
-    GLOBAL_LOG_LEVEL,
-    SRC_LOG_LEVELS,
-    WEBHOOK_URL,
-    ENABLE_ADMIN_EXPORT,
-)
-from constants import ERROR_MESSAGES
-
-logging.basicConfig(stream=sys.stdout, level=GLOBAL_LOG_LEVEL)
-log = logging.getLogger(__name__)
-log.setLevel(SRC_LOG_LEVELS["MAIN"])
-
-
-class SPAStaticFiles(StaticFiles):
-    async def get_response(self, path: str, scope):
-        try:
-            return await super().get_response(path, scope)
-        except (HTTPException, StarletteHTTPException) as ex:
-            if ex.status_code == 404:
-                return await super().get_response("index.html", scope)
-            else:
-                raise ex
-
-
-print(
-    f"""
-  ___                    __        __   _     _   _ ___ 
- / _ \ _ __   ___ _ __   \ \      / /__| |__ | | | |_ _|
-| | | | '_ \ / _ \ '_ \   \ \ /\ / / _ \ '_ \| | | || | 
-| |_| | |_) |  __/ | | |   \ V  V /  __/ |_) | |_| || | 
- \___/| .__/ \___|_| |_|    \_/\_/ \___|_.__/ \___/|___|
-      |_|                                               
-
-      
-v{VERSION} - building the best open-source AI user interface.      
-https://github.com/open-webui/open-webui
-"""
-)
-
-app = FastAPI(docs_url="/docs" if ENV == "dev" else None, redoc_url=None)
-
-app.state.MODEL_FILTER_ENABLED = MODEL_FILTER_ENABLED
-app.state.MODEL_FILTER_LIST = MODEL_FILTER_LIST
-
-app.state.WEBHOOK_URL = WEBHOOK_URL
-
-origins = ["*"]
-
-
-class RAGMiddleware(BaseHTTPMiddleware):
-    async def dispatch(self, request: Request, call_next):
-        if request.method == "POST" and (
-            "/api/chat" in request.url.path or "/chat/completions" in request.url.path
-        ):
-            log.debug(f"request.url.path: {request.url.path}")
-
-            # Read the original request body
-            body = await request.body()
-            # Decode body to string
-            body_str = body.decode("utf-8")
-            # Parse string to JSON
-            data = json.loads(body_str) if body_str else {}
-
-            # Example: Add a new key-value pair or modify existing ones
-            # data["modified"] = True  # Example modification
-            if "docs" in data:
-                data = {**data}
-                data["messages"] = rag_messages(
-                    data["docs"],
-                    data["messages"],
-                    rag_app.state.RAG_TEMPLATE,
-                    rag_app.state.TOP_K,
-                    rag_app.state.RAG_EMBEDDING_ENGINE,
-                    rag_app.state.RAG_EMBEDDING_MODEL,
-                    rag_app.state.sentence_transformer_ef,
-                    rag_app.state.OPENAI_API_KEY,
-                    rag_app.state.OPENAI_API_BASE_URL,
-                )
-                del data["docs"]
-
-                log.debug(f"data['messages']: {data['messages']}")
-
-            modified_body_bytes = json.dumps(data).encode("utf-8")
-
-            # Replace the request body with the modified one
-            request._body = modified_body_bytes
-
-            # Set custom header to ensure content-length matches new body length
-            request.headers.__dict__["_list"] = [
-                (b"content-length", str(len(modified_body_bytes)).encode("utf-8")),
-                *[
-                    (k, v)
-                    for k, v in request.headers.raw
-                    if k.lower() != b"content-length"
-                ],
-            ]
-
-        response = await call_next(request)
-        return response
-
-    async def _receive(self, body: bytes):
-        return {"type": "http.request", "body": body, "more_body": False}
-
-
-app.add_middleware(RAGMiddleware)
-
-
-app.add_middleware(
-    CORSMiddleware,
-    allow_origins=origins,
-    allow_credentials=True,
-    allow_methods=["*"],
-    allow_headers=["*"],
-)
-
-
-@app.middleware("http")
-async def check_url(request: Request, call_next):
-    start_time = int(time.time())
-    response = await call_next(request)
-    process_time = int(time.time()) - start_time
-    response.headers["X-Process-Time"] = str(process_time)
-
-    return response
-
-
-@app.on_event("startup")
-async def on_startup():
-    asyncio.create_task(start_litellm_background())
-
-
-app.mount("/api/v1", webui_app)
-app.mount("/litellm/api", litellm_app)
-
-app.mount("/ollama", ollama_app)
-app.mount("/openai/api", openai_app)
-
-app.mount("/images/api/v1", images_app)
-app.mount("/audio/api/v1", audio_app)
-app.mount("/rag/api/v1", rag_app)
-
-
-@app.get("/api/config")
-async def get_app_config():
-    # Checking and Handling the Absence of 'ui' in CONFIG_DATA
-
-    default_locale = "en-US"
-    if "ui" in CONFIG_DATA:
-        default_locale = CONFIG_DATA["ui"].get("default_locale", "en-US")
-
-    # The Rest of the Function Now Uses the Variables Defined Above
-    return {
-        "status": True,
-        "name": WEBUI_NAME,
-        "version": VERSION,
-        "default_locale": default_locale,
-        "images": images_app.state.ENABLED,
-        "default_models": webui_app.state.DEFAULT_MODELS,
-        "default_prompt_suggestions": webui_app.state.DEFAULT_PROMPT_SUGGESTIONS,
-        "trusted_header_auth": bool(webui_app.state.AUTH_TRUSTED_EMAIL_HEADER),
-        "admin_export_enabled": ENABLE_ADMIN_EXPORT,
-    }
-
-
-@app.get("/api/config/model/filter")
-async def get_model_filter_config(user=Depends(get_admin_user)):
-    return {
-        "enabled": app.state.MODEL_FILTER_ENABLED,
-        "models": app.state.MODEL_FILTER_LIST,
-    }
-
-
-class ModelFilterConfigForm(BaseModel):
-    enabled: bool
-    models: List[str]
-
-
-@app.post("/api/config/model/filter")
-async def update_model_filter_config(
-    form_data: ModelFilterConfigForm, user=Depends(get_admin_user)
-):
-    app.state.MODEL_FILTER_ENABLED = form_data.enabled
-    app.state.MODEL_FILTER_LIST = form_data.models
-
-    ollama_app.state.MODEL_FILTER_ENABLED = app.state.MODEL_FILTER_ENABLED
-    ollama_app.state.MODEL_FILTER_LIST = app.state.MODEL_FILTER_LIST
-
-    openai_app.state.MODEL_FILTER_ENABLED = app.state.MODEL_FILTER_ENABLED
-    openai_app.state.MODEL_FILTER_LIST = app.state.MODEL_FILTER_LIST
-
-    litellm_app.state.MODEL_FILTER_ENABLED = app.state.MODEL_FILTER_ENABLED
-    litellm_app.state.MODEL_FILTER_LIST = app.state.MODEL_FILTER_LIST
-
-    return {
-        "enabled": app.state.MODEL_FILTER_ENABLED,
-        "models": app.state.MODEL_FILTER_LIST,
-    }
-
-
-@app.get("/api/webhook")
-async def get_webhook_url(user=Depends(get_admin_user)):
-    return {
-        "url": app.state.WEBHOOK_URL,
-    }
-
-
-class UrlForm(BaseModel):
-    url: str
-
-
-@app.post("/api/webhook")
-async def update_webhook_url(form_data: UrlForm, user=Depends(get_admin_user)):
-    app.state.WEBHOOK_URL = form_data.url
-
-    webui_app.state.WEBHOOK_URL = app.state.WEBHOOK_URL
-
-    return {
-        "url": app.state.WEBHOOK_URL,
-    }
-
-
-@app.get("/api/version")
-async def get_app_config():
-    return {
-        "version": VERSION,
-    }
-
-
-@app.get("/api/changelog")
-async def get_app_changelog():
-    return {key: CHANGELOG[key] for idx, key in enumerate(CHANGELOG) if idx < 5}
-
-
-@app.get("/api/version/updates")
-async def get_app_latest_release_version():
-    try:
-        async with aiohttp.ClientSession() as session:
-            async with session.get(
-                "https://api.github.com/repos/open-webui/open-webui/releases/latest"
-            ) as response:
-                response.raise_for_status()
-                data = await response.json()
-                latest_version = data["tag_name"]
-
-                return {"current": VERSION, "latest": latest_version[1:]}
-    except aiohttp.ClientError as e:
-        raise HTTPException(
-            status_code=status.HTTP_503_SERVICE_UNAVAILABLE,
-            detail=ERROR_MESSAGES.RATE_LIMIT_EXCEEDED,
-        )
-
-
-@app.get("/manifest.json")
-async def get_manifest_json():
-    return {
-        "name": WEBUI_NAME,
-        "short_name": WEBUI_NAME,
-        "start_url": "/",
-        "display": "standalone",
-        "background_color": "#343541",
-        "theme_color": "#343541",
-        "orientation": "portrait-primary",
-        "icons": [{"src": "/favicon.png", "type": "image/png", "sizes": "844x884"}],
-    }
-
-
-app.mount("/static", StaticFiles(directory=STATIC_DIR), name="static")
-app.mount("/cache", StaticFiles(directory=CACHE_DIR), name="cache")
-
-app.mount(
-    "/",
-    SPAStaticFiles(directory=FRONTEND_BUILD_DIR, html=True),
-    name="spa-static-files",
-)
-
-
-@app.on_event("shutdown")
-async def shutdown_event():
-    await shutdown_litellm_background()

backend/open_webui/__init__.py

@@ -0,0 +1,64 @@
+import base64
+import os
+import random
+from pathlib import Path
+
+import typer
+import uvicorn
+
+app = typer.Typer()
+
+KEY_FILE = Path.cwd() / ".webui_secret_key"
+
+os.environ["FROM_INIT_PY"] = "true"
+
+
+@app.command()
+def serve(
+    host: str = "0.0.0.0",
+    port: int = 8080,
+):
+    if os.getenv("WEBUI_SECRET_KEY") is None:
+        typer.echo(
+            "Loading WEBUI_SECRET_KEY from file, not provided as an environment variable."
+        )
+        if not KEY_FILE.exists():
+            typer.echo(f"Generating a new secret key and saving it to {KEY_FILE}")
+            KEY_FILE.write_bytes(base64.b64encode(random.randbytes(12)))
+        typer.echo(f"Loading WEBUI_SECRET_KEY from {KEY_FILE}")
+        os.environ["WEBUI_SECRET_KEY"] = KEY_FILE.read_text()
+
+    if os.getenv("USE_CUDA_DOCKER", "false") == "true":
+        typer.echo(
+            "CUDA is enabled, appending LD_LIBRARY_PATH to include torch/cudnn & cublas libraries."
+        )
+        LD_LIBRARY_PATH = os.getenv("LD_LIBRARY_PATH", "").split(":")
+        os.environ["LD_LIBRARY_PATH"] = ":".join(
+            LD_LIBRARY_PATH
+            + [
+                "/usr/local/lib/python3.11/site-packages/torch/lib",
+                "/usr/local/lib/python3.11/site-packages/nvidia/cudnn/lib",
+            ]
+        )
+    import open_webui.main  # we need set environment variables before importing main
+
+    uvicorn.run(open_webui.main.app, host=host, port=port, forwarded_allow_ips="*")
+
+
+@app.command()
+def dev(
+    host: str = "0.0.0.0",
+    port: int = 8080,
+    reload: bool = True,
+):
+    uvicorn.run(
+        "open_webui.main:app",
+        host=host,
+        port=port,
+        reload=reload,
+        forwarded_allow_ips="*",
+    )
+
+
+if __name__ == "__main__":
+    app()

backend/open_webui/alembic.ini

@@ -0,0 +1,114 @@
+# A generic, single database configuration.
+
+[alembic]
+# path to migration scripts
+script_location = migrations
+
+# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
+# Uncomment the line below if you want the files to be prepended with date and time
+# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
+
+# sys.path path, will be prepended to sys.path if present.
+# defaults to the current working directory.
+prepend_sys_path = .
+
+# timezone to use when rendering the date within the migration file
+# as well as the filename.
+# If specified, requires the python>=3.9 or backports.zoneinfo library.
+# Any required deps can installed by adding `alembic[tz]` to the pip requirements
+# string value is passed to ZoneInfo()
+# leave blank for localtime
+# timezone =
+
+# max length of characters to apply to the
+# "slug" field
+# truncate_slug_length = 40
+
+# set to 'true' to run the environment during
+# the 'revision' command, regardless of autogenerate
+# revision_environment = false
+
+# set to 'true' to allow .pyc and .pyo files without
+# a source .py file to be detected as revisions in the
+# versions/ directory
+# sourceless = false
+
+# version location specification; This defaults
+# to migrations/versions.  When using multiple version
+# directories, initial revisions must be specified with --version-path.
+# The path separator used here should be the separator specified by "version_path_separator" below.
+# version_locations = %(here)s/bar:%(here)s/bat:migrations/versions
+
+# version path separator; As mentioned above, this is the character used to split
+# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep.
+# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas.
+# Valid values for version_path_separator are:
+#
+# version_path_separator = :
+# version_path_separator = ;
+# version_path_separator = space
+version_path_separator = os  # Use os.pathsep. Default configuration used for new projects.
+
+# set to 'true' to search source files recursively
+# in each "version_locations" directory
+# new in Alembic version 1.10
+# recursive_version_locations = false
+
+# the output encoding used when revision files
+# are written from script.py.mako
+# output_encoding = utf-8
+
+# sqlalchemy.url = REPLACE_WITH_DATABASE_URL
+
+
+[post_write_hooks]
+# post_write_hooks defines scripts or Python functions that are run
+# on newly generated revision scripts.  See the documentation for further
+# detail and examples
+
+# format using "black" - use the console_scripts runner, against the "black" entrypoint
+# hooks = black
+# black.type = console_scripts
+# black.entrypoint = black
+# black.options = -l 79 REVISION_SCRIPT_FILENAME
+
+# lint with attempts to fix using "ruff" - use the exec runner, execute a binary
+# hooks = ruff
+# ruff.type = exec
+# ruff.executable = %(here)s/.venv/bin/ruff
+# ruff.options = --fix REVISION_SCRIPT_FILENAME
+
+# Logging configuration
+[loggers]
+keys = root,sqlalchemy,alembic
+
+[handlers]
+keys = console
+
+[formatters]
+keys = generic
+
+[logger_root]
+level = WARN
+handlers = console
+qualname =
+
+[logger_sqlalchemy]
+level = WARN
+handlers =
+qualname = sqlalchemy.engine
+
+[logger_alembic]
+level = INFO
+handlers =
+qualname = alembic
+
+[handler_console]
+class = StreamHandler
+args = (sys.stderr,)
+level = NOTSET
+formatter = generic
+
+[formatter_generic]
+format = %(levelname)-5.5s [%(name)s] %(message)s
+datefmt = %H:%M:%S

backend/open_webui/apps/audio/main.py

@@ -0,0 +1,517 @@
+import hashlib
+import json
+import logging
+import os
+import uuid
+from functools import lru_cache
+from pathlib import Path
+
+import requests
+from open_webui.config import (
+    AUDIO_STT_ENGINE,
+    AUDIO_STT_MODEL,
+    AUDIO_STT_OPENAI_API_BASE_URL,
+    AUDIO_STT_OPENAI_API_KEY,
+    AUDIO_TTS_API_KEY,
+    AUDIO_TTS_ENGINE,
+    AUDIO_TTS_MODEL,
+    AUDIO_TTS_OPENAI_API_BASE_URL,
+    AUDIO_TTS_OPENAI_API_KEY,
+    AUDIO_TTS_SPLIT_ON,
+    AUDIO_TTS_VOICE,
+    CACHE_DIR,
+    CORS_ALLOW_ORIGIN,
+    DEVICE_TYPE,
+    WHISPER_MODEL,
+    WHISPER_MODEL_AUTO_UPDATE,
+    WHISPER_MODEL_DIR,
+    AppConfig,
+)
+from open_webui.constants import ERROR_MESSAGES
+from open_webui.env import SRC_LOG_LEVELS
+from fastapi import Depends, FastAPI, File, HTTPException, Request, UploadFile, status
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse
+from pydantic import BaseModel
+from open_webui.utils.utils import get_admin_user, get_current_user, get_verified_user
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["AUDIO"])
+
+app = FastAPI()
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=CORS_ALLOW_ORIGIN,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+app.state.config = AppConfig()
+
+app.state.config.STT_OPENAI_API_BASE_URL = AUDIO_STT_OPENAI_API_BASE_URL
+app.state.config.STT_OPENAI_API_KEY = AUDIO_STT_OPENAI_API_KEY
+app.state.config.STT_ENGINE = AUDIO_STT_ENGINE
+app.state.config.STT_MODEL = AUDIO_STT_MODEL
+
+app.state.config.TTS_OPENAI_API_BASE_URL = AUDIO_TTS_OPENAI_API_BASE_URL
+app.state.config.TTS_OPENAI_API_KEY = AUDIO_TTS_OPENAI_API_KEY
+app.state.config.TTS_ENGINE = AUDIO_TTS_ENGINE
+app.state.config.TTS_MODEL = AUDIO_TTS_MODEL
+app.state.config.TTS_VOICE = AUDIO_TTS_VOICE
+app.state.config.TTS_API_KEY = AUDIO_TTS_API_KEY
+app.state.config.TTS_SPLIT_ON = AUDIO_TTS_SPLIT_ON
+
+# setting device type for whisper model
+whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
+log.info(f"whisper_device_type: {whisper_device_type}")
+
+SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
+SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
+
+
+class TTSConfigForm(BaseModel):
+    OPENAI_API_BASE_URL: str
+    OPENAI_API_KEY: str
+    API_KEY: str
+    ENGINE: str
+    MODEL: str
+    VOICE: str
+    SPLIT_ON: str
+
+
+class STTConfigForm(BaseModel):
+    OPENAI_API_BASE_URL: str
+    OPENAI_API_KEY: str
+    ENGINE: str
+    MODEL: str
+
+
+class AudioConfigUpdateForm(BaseModel):
+    tts: TTSConfigForm
+    stt: STTConfigForm
+
+
+from pydub import AudioSegment
+from pydub.utils import mediainfo
+
+
+def is_mp4_audio(file_path):
+    """Check if the given file is an MP4 audio file."""
+    if not os.path.isfile(file_path):
+        print(f"File not found: {file_path}")
+        return False
+
+    info = mediainfo(file_path)
+    if (
+        info.get("codec_name") == "aac"
+        and info.get("codec_type") == "audio"
+        and info.get("codec_tag_string") == "mp4a"
+    ):
+        return True
+    return False
+
+
+def convert_mp4_to_wav(file_path, output_path):
+    """Convert MP4 audio file to WAV format."""
+    audio = AudioSegment.from_file(file_path, format="mp4")
+    audio.export(output_path, format="wav")
+    print(f"Converted {file_path} to {output_path}")
+
+
+@app.get("/config")
+async def get_audio_config(user=Depends(get_admin_user)):
+    return {
+        "tts": {
+            "OPENAI_API_BASE_URL": app.state.config.TTS_OPENAI_API_BASE_URL,
+            "OPENAI_API_KEY": app.state.config.TTS_OPENAI_API_KEY,
+            "API_KEY": app.state.config.TTS_API_KEY,
+            "ENGINE": app.state.config.TTS_ENGINE,
+            "MODEL": app.state.config.TTS_MODEL,
+            "VOICE": app.state.config.TTS_VOICE,
+            "SPLIT_ON": app.state.config.TTS_SPLIT_ON,
+        },
+        "stt": {
+            "OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL,
+            "OPENAI_API_KEY": app.state.config.STT_OPENAI_API_KEY,
+            "ENGINE": app.state.config.STT_ENGINE,
+            "MODEL": app.state.config.STT_MODEL,
+        },
+    }
+
+
+@app.post("/config/update")
+async def update_audio_config(
+    form_data: AudioConfigUpdateForm, user=Depends(get_admin_user)
+):
+    app.state.config.TTS_OPENAI_API_BASE_URL = form_data.tts.OPENAI_API_BASE_URL
+    app.state.config.TTS_OPENAI_API_KEY = form_data.tts.OPENAI_API_KEY
+    app.state.config.TTS_API_KEY = form_data.tts.API_KEY
+    app.state.config.TTS_ENGINE = form_data.tts.ENGINE
+    app.state.config.TTS_MODEL = form_data.tts.MODEL
+    app.state.config.TTS_VOICE = form_data.tts.VOICE
+    app.state.config.TTS_SPLIT_ON = form_data.tts.SPLIT_ON
+
+    app.state.config.STT_OPENAI_API_BASE_URL = form_data.stt.OPENAI_API_BASE_URL
+    app.state.config.STT_OPENAI_API_KEY = form_data.stt.OPENAI_API_KEY
+    app.state.config.STT_ENGINE = form_data.stt.ENGINE
+    app.state.config.STT_MODEL = form_data.stt.MODEL
+
+    return {
+        "tts": {
+            "OPENAI_API_BASE_URL": app.state.config.TTS_OPENAI_API_BASE_URL,
+            "OPENAI_API_KEY": app.state.config.TTS_OPENAI_API_KEY,
+            "API_KEY": app.state.config.TTS_API_KEY,
+            "ENGINE": app.state.config.TTS_ENGINE,
+            "MODEL": app.state.config.TTS_MODEL,
+            "VOICE": app.state.config.TTS_VOICE,
+            "SPLIT_ON": app.state.config.TTS_SPLIT_ON,
+        },
+        "stt": {
+            "OPENAI_API_BASE_URL": app.state.config.STT_OPENAI_API_BASE_URL,
+            "OPENAI_API_KEY": app.state.config.STT_OPENAI_API_KEY,
+            "ENGINE": app.state.config.STT_ENGINE,
+            "MODEL": app.state.config.STT_MODEL,
+        },
+    }
+
+
+@app.post("/speech")
+async def speech(request: Request, user=Depends(get_verified_user)):
+    body = await request.body()
+    name = hashlib.sha256(body).hexdigest()
+
+    file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
+    file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
+
+    # Check if the file already exists in the cache
+    if file_path.is_file():
+        return FileResponse(file_path)
+
+    if app.state.config.TTS_ENGINE == "openai":
+        headers = {}
+        headers["Authorization"] = f"Bearer {app.state.config.TTS_OPENAI_API_KEY}"
+        headers["Content-Type"] = "application/json"
+
+        try:
+            body = body.decode("utf-8")
+            body = json.loads(body)
+            body["model"] = app.state.config.TTS_MODEL
+            body = json.dumps(body).encode("utf-8")
+        except Exception:
+            pass
+
+        r = None
+        try:
+            r = requests.post(
+                url=f"{app.state.config.TTS_OPENAI_API_BASE_URL}/audio/speech",
+                data=body,
+                headers=headers,
+                stream=True,
+            )
+
+            r.raise_for_status()
+
+            # Save the streaming content to a file
+            with open(file_path, "wb") as f:
+                for chunk in r.iter_content(chunk_size=8192):
+                    f.write(chunk)
+
+            with open(file_body_path, "w") as f:
+                json.dump(json.loads(body.decode("utf-8")), f)
+
+            # Return the saved file
+            return FileResponse(file_path)
+
+        except Exception as e:
+            log.exception(e)
+            error_detail = "Open WebUI: Server Connection Error"
+            if r is not None:
+                try:
+                    res = r.json()
+                    if "error" in res:
+                        error_detail = f"External: {res['error']['message']}"
+                except Exception:
+                    error_detail = f"External: {e}"
+
+            raise HTTPException(
+                status_code=r.status_code if r != None else 500,
+                detail=error_detail,
+            )
+
+    elif app.state.config.TTS_ENGINE == "elevenlabs":
+        payload = None
+        try:
+            payload = json.loads(body.decode("utf-8"))
+        except Exception as e:
+            log.exception(e)
+            raise HTTPException(status_code=400, detail="Invalid JSON payload")
+
+        voice_id = payload.get("voice", "")
+
+        if voice_id not in get_available_voices():
+            raise HTTPException(
+                status_code=400,
+                detail="Invalid voice id",
+            )
+
+        url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"
+
+        headers = {
+            "Accept": "audio/mpeg",
+            "Content-Type": "application/json",
+            "xi-api-key": app.state.config.TTS_API_KEY,
+        }
+
+        data = {
+            "text": payload["input"],
+            "model_id": app.state.config.TTS_MODEL,
+            "voice_settings": {"stability": 0.5, "similarity_boost": 0.5},
+        }
+
+        try:
+            r = requests.post(url, json=data, headers=headers)
+
+            r.raise_for_status()
+
+            # Save the streaming content to a file
+            with open(file_path, "wb") as f:
+                for chunk in r.iter_content(chunk_size=8192):
+                    f.write(chunk)
+
+            with open(file_body_path, "w") as f:
+                json.dump(json.loads(body.decode("utf-8")), f)
+
+            # Return the saved file
+            return FileResponse(file_path)
+
+        except Exception as e:
+            log.exception(e)
+            error_detail = "Open WebUI: Server Connection Error"
+            if r is not None:
+                try:
+                    res = r.json()
+                    if "error" in res:
+                        error_detail = f"External: {res['error']['message']}"
+                except Exception:
+                    error_detail = f"External: {e}"
+
+            raise HTTPException(
+                status_code=r.status_code if r != None else 500,
+                detail=error_detail,
+            )
+
+
+@app.post("/transcriptions")
+def transcribe(
+    file: UploadFile = File(...),
+    user=Depends(get_current_user),
+):
+    log.info(f"file.content_type: {file.content_type}")
+
+    if file.content_type not in ["audio/mpeg", "audio/wav"]:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.FILE_NOT_SUPPORTED,
+        )
+
+    try:
+        ext = file.filename.split(".")[-1]
+
+        id = uuid.uuid4()
+        filename = f"{id}.{ext}"
+
+        file_dir = f"{CACHE_DIR}/audio/transcriptions"
+        os.makedirs(file_dir, exist_ok=True)
+        file_path = f"{file_dir}/{filename}"
+
+        print(filename)
+
+        contents = file.file.read()
+        with open(file_path, "wb") as f:
+            f.write(contents)
+            f.close()
+
+        if app.state.config.STT_ENGINE == "":
+            from faster_whisper import WhisperModel
+
+            whisper_kwargs = {
+                "model_size_or_path": WHISPER_MODEL,
+                "device": whisper_device_type,
+                "compute_type": "int8",
+                "download_root": WHISPER_MODEL_DIR,
+                "local_files_only": not WHISPER_MODEL_AUTO_UPDATE,
+            }
+
+            log.debug(f"whisper_kwargs: {whisper_kwargs}")
+
+            try:
+                model = WhisperModel(**whisper_kwargs)
+            except Exception:
+                log.warning(
+                    "WhisperModel initialization failed, attempting download with local_files_only=False"
+                )
+                whisper_kwargs["local_files_only"] = False
+                model = WhisperModel(**whisper_kwargs)
+
+            segments, info = model.transcribe(file_path, beam_size=5)
+            log.info(
+                "Detected language '%s' with probability %f"
+                % (info.language, info.language_probability)
+            )
+
+            transcript = "".join([segment.text for segment in list(segments)])
+
+            data = {"text": transcript.strip()}
+
+            # save the transcript to a json file
+            transcript_file = f"{file_dir}/{id}.json"
+            with open(transcript_file, "w") as f:
+                json.dump(data, f)
+
+            print(data)
+
+            return data
+
+        elif app.state.config.STT_ENGINE == "openai":
+            if is_mp4_audio(file_path):
+                print("is_mp4_audio")
+                os.rename(file_path, file_path.replace(".wav", ".mp4"))
+                # Convert MP4 audio file to WAV format
+                convert_mp4_to_wav(file_path.replace(".wav", ".mp4"), file_path)
+
+            headers = {"Authorization": f"Bearer {app.state.config.STT_OPENAI_API_KEY}"}
+
+            files = {"file": (filename, open(file_path, "rb"))}
+            data = {"model": app.state.config.STT_MODEL}
+
+            print(files, data)
+
+            r = None
+            try:
+                r = requests.post(
+                    url=f"{app.state.config.STT_OPENAI_API_BASE_URL}/audio/transcriptions",
+                    headers=headers,
+                    files=files,
+                    data=data,
+                )
+
+                r.raise_for_status()
+
+                data = r.json()
+
+                # save the transcript to a json file
+                transcript_file = f"{file_dir}/{id}.json"
+                with open(transcript_file, "w") as f:
+                    json.dump(data, f)
+
+                print(data)
+                return data
+            except Exception as e:
+                log.exception(e)
+                error_detail = "Open WebUI: Server Connection Error"
+                if r is not None:
+                    try:
+                        res = r.json()
+                        if "error" in res:
+                            error_detail = f"External: {res['error']['message']}"
+                    except Exception:
+                        error_detail = f"External: {e}"
+
+                raise HTTPException(
+                    status_code=r.status_code if r != None else 500,
+                    detail=error_detail,
+                )
+
+    except Exception as e:
+        log.exception(e)
+
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.DEFAULT(e),
+        )
+
+
+def get_available_models() -> list[dict]:
+    if app.state.config.TTS_ENGINE == "openai":
+        return [{"id": "tts-1"}, {"id": "tts-1-hd"}]
+    elif app.state.config.TTS_ENGINE == "elevenlabs":
+        headers = {
+            "xi-api-key": app.state.config.TTS_API_KEY,
+            "Content-Type": "application/json",
+        }
+
+        try:
+            response = requests.get(
+                "https://api.elevenlabs.io/v1/models", headers=headers
+            )
+            response.raise_for_status()
+            models = response.json()
+            return [
+                {"name": model["name"], "id": model["model_id"]} for model in models
+            ]
+        except requests.RequestException as e:
+            log.error(f"Error fetching voices: {str(e)}")
+    return []
+
+
+@app.get("/models")
+async def get_models(user=Depends(get_verified_user)):
+    return {"models": get_available_models()}
+
+
+def get_available_voices() -> dict:
+    """Returns {voice_id: voice_name} dict"""
+    ret = {}
+    if app.state.config.TTS_ENGINE == "openai":
+        ret = {
+            "alloy": "alloy",
+            "echo": "echo",
+            "fable": "fable",
+            "onyx": "onyx",
+            "nova": "nova",
+            "shimmer": "shimmer",
+        }
+    elif app.state.config.TTS_ENGINE == "elevenlabs":
+        try:
+            ret = get_elevenlabs_voices()
+        except Exception:
+            # Avoided @lru_cache with exception
+            pass
+
+    return ret
+
+
+@lru_cache
+def get_elevenlabs_voices() -> dict:
+    """
+    Note, set the following in your .env file to use Elevenlabs:
+    AUDIO_TTS_ENGINE=elevenlabs
+    AUDIO_TTS_API_KEY=sk_...  # Your Elevenlabs API key
+    AUDIO_TTS_VOICE=EXAVITQu4vr4xnSDxMaL  # From https://api.elevenlabs.io/v1/voices
+    AUDIO_TTS_MODEL=eleven_multilingual_v2
+    """
+    headers = {
+        "xi-api-key": app.state.config.TTS_API_KEY,
+        "Content-Type": "application/json",
+    }
+    try:
+        # TODO: Add retries
+        response = requests.get("https://api.elevenlabs.io/v1/voices", headers=headers)
+        response.raise_for_status()
+        voices_data = response.json()
+
+        voices = {}
+        for voice in voices_data.get("voices", []):
+            voices[voice["voice_id"]] = voice["name"]
+    except requests.RequestException as e:
+        # Avoid @lru_cache with exception
+        log.error(f"Error fetching voices: {str(e)}")
+        raise RuntimeError(f"Error fetching voices: {str(e)}")
+
+    return voices
+
+
+@app.get("/voices")
+async def get_voices(user=Depends(get_verified_user)):
+    return {"voices": [{"id": k, "name": v} for k, v in get_available_voices().items()]}

backend/open_webui/apps/images/main.py

@@ -0,0 +1,555 @@
+import asyncio
+import base64
+import json
+import logging
+import mimetypes
+import re
+import uuid
+from pathlib import Path
+from typing import Optional
+
+import requests
+from open_webui.apps.images.utils.comfyui import (
+    ComfyUIGenerateImageForm,
+    ComfyUIWorkflow,
+    comfyui_generate_image,
+)
+from open_webui.config import (
+    AUTOMATIC1111_API_AUTH,
+    AUTOMATIC1111_BASE_URL,
+    CACHE_DIR,
+    COMFYUI_BASE_URL,
+    COMFYUI_WORKFLOW,
+    COMFYUI_WORKFLOW_NODES,
+    CORS_ALLOW_ORIGIN,
+    ENABLE_IMAGE_GENERATION,
+    IMAGE_GENERATION_ENGINE,
+    IMAGE_GENERATION_MODEL,
+    IMAGE_SIZE,
+    IMAGE_STEPS,
+    IMAGES_OPENAI_API_BASE_URL,
+    IMAGES_OPENAI_API_KEY,
+    AppConfig,
+)
+from open_webui.constants import ERROR_MESSAGES
+from open_webui.env import SRC_LOG_LEVELS
+from fastapi import Depends, FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from pydantic import BaseModel
+from open_webui.utils.utils import get_admin_user, get_verified_user
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["IMAGES"])
+
+IMAGE_CACHE_DIR = Path(CACHE_DIR).joinpath("./image/generations/")
+IMAGE_CACHE_DIR.mkdir(parents=True, exist_ok=True)
+
+app = FastAPI()
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=CORS_ALLOW_ORIGIN,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+app.state.config = AppConfig()
+
+app.state.config.ENGINE = IMAGE_GENERATION_ENGINE
+app.state.config.ENABLED = ENABLE_IMAGE_GENERATION
+
+app.state.config.OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL
+app.state.config.OPENAI_API_KEY = IMAGES_OPENAI_API_KEY
+
+app.state.config.MODEL = IMAGE_GENERATION_MODEL
+
+app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
+app.state.config.AUTOMATIC1111_API_AUTH = AUTOMATIC1111_API_AUTH
+app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL
+app.state.config.COMFYUI_WORKFLOW = COMFYUI_WORKFLOW
+app.state.config.COMFYUI_WORKFLOW_NODES = COMFYUI_WORKFLOW_NODES
+
+app.state.config.IMAGE_SIZE = IMAGE_SIZE
+app.state.config.IMAGE_STEPS = IMAGE_STEPS
+
+
+@app.get("/config")
+async def get_config(request: Request, user=Depends(get_admin_user)):
+    return {
+        "enabled": app.state.config.ENABLED,
+        "engine": app.state.config.ENGINE,
+        "openai": {
+            "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
+            "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
+        },
+        "automatic1111": {
+            "AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
+            "AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH,
+        },
+        "comfyui": {
+            "COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
+            "COMFYUI_WORKFLOW": app.state.config.COMFYUI_WORKFLOW,
+            "COMFYUI_WORKFLOW_NODES": app.state.config.COMFYUI_WORKFLOW_NODES,
+        },
+    }
+
+
+class OpenAIConfigForm(BaseModel):
+    OPENAI_API_BASE_URL: str
+    OPENAI_API_KEY: str
+
+
+class Automatic1111ConfigForm(BaseModel):
+    AUTOMATIC1111_BASE_URL: str
+    AUTOMATIC1111_API_AUTH: str
+
+
+class ComfyUIConfigForm(BaseModel):
+    COMFYUI_BASE_URL: str
+    COMFYUI_WORKFLOW: str
+    COMFYUI_WORKFLOW_NODES: list[dict]
+
+
+class ConfigForm(BaseModel):
+    enabled: bool
+    engine: str
+    openai: OpenAIConfigForm
+    automatic1111: Automatic1111ConfigForm
+    comfyui: ComfyUIConfigForm
+
+
+@app.post("/config/update")
+async def update_config(form_data: ConfigForm, user=Depends(get_admin_user)):
+    app.state.config.ENGINE = form_data.engine
+    app.state.config.ENABLED = form_data.enabled
+
+    app.state.config.OPENAI_API_BASE_URL = form_data.openai.OPENAI_API_BASE_URL
+    app.state.config.OPENAI_API_KEY = form_data.openai.OPENAI_API_KEY
+
+    app.state.config.AUTOMATIC1111_BASE_URL = (
+        form_data.automatic1111.AUTOMATIC1111_BASE_URL
+    )
+    app.state.config.AUTOMATIC1111_API_AUTH = (
+        form_data.automatic1111.AUTOMATIC1111_API_AUTH
+    )
+
+    app.state.config.COMFYUI_BASE_URL = form_data.comfyui.COMFYUI_BASE_URL.strip("/")
+    app.state.config.COMFYUI_WORKFLOW = form_data.comfyui.COMFYUI_WORKFLOW
+    app.state.config.COMFYUI_WORKFLOW_NODES = form_data.comfyui.COMFYUI_WORKFLOW_NODES
+
+    return {
+        "enabled": app.state.config.ENABLED,
+        "engine": app.state.config.ENGINE,
+        "openai": {
+            "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
+            "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
+        },
+        "automatic1111": {
+            "AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
+            "AUTOMATIC1111_API_AUTH": app.state.config.AUTOMATIC1111_API_AUTH,
+        },
+        "comfyui": {
+            "COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
+            "COMFYUI_WORKFLOW": app.state.config.COMFYUI_WORKFLOW,
+            "COMFYUI_WORKFLOW_NODES": app.state.config.COMFYUI_WORKFLOW_NODES,
+        },
+    }
+
+
+def get_automatic1111_api_auth():
+    if app.state.config.AUTOMATIC1111_API_AUTH is None:
+        return ""
+    else:
+        auth1111_byte_string = app.state.config.AUTOMATIC1111_API_AUTH.encode("utf-8")
+        auth1111_base64_encoded_bytes = base64.b64encode(auth1111_byte_string)
+        auth1111_base64_encoded_string = auth1111_base64_encoded_bytes.decode("utf-8")
+        return f"Basic {auth1111_base64_encoded_string}"
+
+
+@app.get("/config/url/verify")
+async def verify_url(user=Depends(get_admin_user)):
+    if app.state.config.ENGINE == "automatic1111":
+        try:
+            r = requests.get(
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
+                headers={"authorization": get_automatic1111_api_auth()},
+            )
+            r.raise_for_status()
+            return True
+        except Exception:
+            app.state.config.ENABLED = False
+            raise HTTPException(status_code=400, detail=ERROR_MESSAGES.INVALID_URL)
+    elif app.state.config.ENGINE == "comfyui":
+        try:
+            r = requests.get(url=f"{app.state.config.COMFYUI_BASE_URL}/object_info")
+            r.raise_for_status()
+            return True
+        except Exception:
+            app.state.config.ENABLED = False
+            raise HTTPException(status_code=400, detail=ERROR_MESSAGES.INVALID_URL)
+    else:
+        return True
+
+
+def set_image_model(model: str):
+    log.info(f"Setting image model to {model}")
+    app.state.config.MODEL = model
+    if app.state.config.ENGINE in ["", "automatic1111"]:
+        api_auth = get_automatic1111_api_auth()
+        r = requests.get(
+            url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
+            headers={"authorization": api_auth},
+        )
+        options = r.json()
+        if model != options["sd_model_checkpoint"]:
+            options["sd_model_checkpoint"] = model
+            r = requests.post(
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
+                json=options,
+                headers={"authorization": api_auth},
+            )
+    return app.state.config.MODEL
+
+
+def get_image_model():
+    if app.state.config.ENGINE == "openai":
+        return app.state.config.MODEL if app.state.config.MODEL else "dall-e-2"
+    elif app.state.config.ENGINE == "comfyui":
+        return app.state.config.MODEL if app.state.config.MODEL else ""
+    elif app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == "":
+        try:
+            r = requests.get(
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
+                headers={"authorization": get_automatic1111_api_auth()},
+            )
+            options = r.json()
+            return options["sd_model_checkpoint"]
+        except Exception as e:
+            app.state.config.ENABLED = False
+            raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
+
+
+class ImageConfigForm(BaseModel):
+    MODEL: str
+    IMAGE_SIZE: str
+    IMAGE_STEPS: int
+
+
+@app.get("/image/config")
+async def get_image_config(user=Depends(get_admin_user)):
+    return {
+        "MODEL": app.state.config.MODEL,
+        "IMAGE_SIZE": app.state.config.IMAGE_SIZE,
+        "IMAGE_STEPS": app.state.config.IMAGE_STEPS,
+    }
+
+
+@app.post("/image/config/update")
+async def update_image_config(form_data: ImageConfigForm, user=Depends(get_admin_user)):
+
+    set_image_model(form_data.MODEL)
+
+    pattern = r"^\d+x\d+$"
+    if re.match(pattern, form_data.IMAGE_SIZE):
+        app.state.config.IMAGE_SIZE = form_data.IMAGE_SIZE
+    else:
+        raise HTTPException(
+            status_code=400,
+            detail=ERROR_MESSAGES.INCORRECT_FORMAT("  (e.g., 512x512)."),
+        )
+
+    if form_data.IMAGE_STEPS >= 0:
+        app.state.config.IMAGE_STEPS = form_data.IMAGE_STEPS
+    else:
+        raise HTTPException(
+            status_code=400,
+            detail=ERROR_MESSAGES.INCORRECT_FORMAT("  (e.g., 50)."),
+        )
+
+    return {
+        "MODEL": app.state.config.MODEL,
+        "IMAGE_SIZE": app.state.config.IMAGE_SIZE,
+        "IMAGE_STEPS": app.state.config.IMAGE_STEPS,
+    }
+
+
+@app.get("/models")
+def get_models(user=Depends(get_verified_user)):
+    try:
+        if app.state.config.ENGINE == "openai":
+            return [
+                {"id": "dall-e-2", "name": "DALL·E 2"},
+                {"id": "dall-e-3", "name": "DALL·E 3"},
+            ]
+        elif app.state.config.ENGINE == "comfyui":
+            # TODO - get models from comfyui
+            r = requests.get(url=f"{app.state.config.COMFYUI_BASE_URL}/object_info")
+            info = r.json()
+
+            workflow = json.loads(app.state.config.COMFYUI_WORKFLOW)
+            model_node_id = None
+
+            for node in app.state.config.COMFYUI_WORKFLOW_NODES:
+                if node["type"] == "model":
+                    if node["node_ids"]:
+                        model_node_id = node["node_ids"][0]
+                    break
+
+            if model_node_id:
+                model_list_key = None
+
+                print(workflow[model_node_id]["class_type"])
+                for key in info[workflow[model_node_id]["class_type"]]["input"][
+                    "required"
+                ]:
+                    if "_name" in key:
+                        model_list_key = key
+                        break
+
+                if model_list_key:
+                    return list(
+                        map(
+                            lambda model: {"id": model, "name": model},
+                            info[workflow[model_node_id]["class_type"]]["input"][
+                                "required"
+                            ][model_list_key][0],
+                        )
+                    )
+            else:
+                return list(
+                    map(
+                        lambda model: {"id": model, "name": model},
+                        info["CheckpointLoaderSimple"]["input"]["required"][
+                            "ckpt_name"
+                        ][0],
+                    )
+                )
+        elif (
+            app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == ""
+        ):
+            r = requests.get(
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models",
+                headers={"authorization": get_automatic1111_api_auth()},
+            )
+            models = r.json()
+            return list(
+                map(
+                    lambda model: {"id": model["title"], "name": model["model_name"]},
+                    models,
+                )
+            )
+    except Exception as e:
+        app.state.config.ENABLED = False
+        raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
+
+
+class GenerateImageForm(BaseModel):
+    model: Optional[str] = None
+    prompt: str
+    size: Optional[str] = None
+    n: int = 1
+    negative_prompt: Optional[str] = None
+
+
+def save_b64_image(b64_str):
+    try:
+        image_id = str(uuid.uuid4())
+
+        if "," in b64_str:
+            header, encoded = b64_str.split(",", 1)
+            mime_type = header.split(";")[0]
+
+            img_data = base64.b64decode(encoded)
+            image_format = mimetypes.guess_extension(mime_type)
+
+            image_filename = f"{image_id}{image_format}"
+            file_path = IMAGE_CACHE_DIR / f"{image_filename}"
+            with open(file_path, "wb") as f:
+                f.write(img_data)
+            return image_filename
+        else:
+            image_filename = f"{image_id}.png"
+            file_path = IMAGE_CACHE_DIR.joinpath(image_filename)
+
+            img_data = base64.b64decode(b64_str)
+
+            # Write the image data to a file
+            with open(file_path, "wb") as f:
+                f.write(img_data)
+            return image_filename
+
+    except Exception as e:
+        log.exception(f"Error saving image: {e}")
+        return None
+
+
+def save_url_image(url):
+    image_id = str(uuid.uuid4())
+    try:
+        r = requests.get(url)
+        r.raise_for_status()
+        if r.headers["content-type"].split("/")[0] == "image":
+            mime_type = r.headers["content-type"]
+            image_format = mimetypes.guess_extension(mime_type)
+
+            if not image_format:
+                raise ValueError("Could not determine image type from MIME type")
+
+            image_filename = f"{image_id}{image_format}"
+
+            file_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}")
+            with open(file_path, "wb") as image_file:
+                for chunk in r.iter_content(chunk_size=8192):
+                    image_file.write(chunk)
+            return image_filename
+        else:
+            log.error("Url does not point to an image.")
+            return None
+
+    except Exception as e:
+        log.exception(f"Error saving image: {e}")
+        return None
+
+
+@app.post("/generations")
+async def image_generations(
+    form_data: GenerateImageForm,
+    user=Depends(get_verified_user),
+):
+    width, height = tuple(map(int, app.state.config.IMAGE_SIZE.split("x")))
+
+    r = None
+    try:
+        if app.state.config.ENGINE == "openai":
+            headers = {}
+            headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEY}"
+            headers["Content-Type"] = "application/json"
+
+            data = {
+                "model": (
+                    app.state.config.MODEL
+                    if app.state.config.MODEL != ""
+                    else "dall-e-2"
+                ),
+                "prompt": form_data.prompt,
+                "n": form_data.n,
+                "size": (
+                    form_data.size if form_data.size else app.state.config.IMAGE_SIZE
+                ),
+                "response_format": "b64_json",
+            }
+
+            r = requests.post(
+                url=f"{app.state.config.OPENAI_API_BASE_URL}/images/generations",
+                json=data,
+                headers=headers,
+            )
+
+            r.raise_for_status()
+            res = r.json()
+
+            images = []
+
+            for image in res["data"]:
+                image_filename = save_b64_image(image["b64_json"])
+                images.append({"url": f"/cache/image/generations/{image_filename}"})
+                file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json")
+
+                with open(file_body_path, "w") as f:
+                    json.dump(data, f)
+
+            return images
+
+        elif app.state.config.ENGINE == "comfyui":
+            data = {
+                "prompt": form_data.prompt,
+                "width": width,
+                "height": height,
+                "n": form_data.n,
+            }
+
+            if app.state.config.IMAGE_STEPS is not None:
+                data["steps"] = app.state.config.IMAGE_STEPS
+
+            if form_data.negative_prompt is not None:
+                data["negative_prompt"] = form_data.negative_prompt
+
+            form_data = ComfyUIGenerateImageForm(
+                **{
+                    "workflow": ComfyUIWorkflow(
+                        **{
+                            "workflow": app.state.config.COMFYUI_WORKFLOW,
+                            "nodes": app.state.config.COMFYUI_WORKFLOW_NODES,
+                        }
+                    ),
+                    **data,
+                }
+            )
+            res = await comfyui_generate_image(
+                app.state.config.MODEL,
+                form_data,
+                user.id,
+                app.state.config.COMFYUI_BASE_URL,
+            )
+            log.debug(f"res: {res}")
+
+            images = []
+
+            for image in res["data"]:
+                image_filename = save_url_image(image["url"])
+                images.append({"url": f"/cache/image/generations/{image_filename}"})
+                file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json")
+
+                with open(file_body_path, "w") as f:
+                    json.dump(form_data.model_dump(exclude_none=True), f)
+
+            log.debug(f"images: {images}")
+            return images
+        elif (
+            app.state.config.ENGINE == "automatic1111" or app.state.config.ENGINE == ""
+        ):
+            if form_data.model:
+                set_image_model(form_data.model)
+
+            data = {
+                "prompt": form_data.prompt,
+                "batch_size": form_data.n,
+                "width": width,
+                "height": height,
+            }
+
+            if app.state.config.IMAGE_STEPS is not None:
+                data["steps"] = app.state.config.IMAGE_STEPS
+
+            if form_data.negative_prompt is not None:
+                data["negative_prompt"] = form_data.negative_prompt
+
+            # Use asyncio.to_thread for the requests.post call
+            r = await asyncio.to_thread(
+                requests.post,
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img",
+                json=data,
+                headers={"authorization": get_automatic1111_api_auth()},
+            )
+
+            res = r.json()
+            log.debug(f"res: {res}")
+
+            images = []
+
+            for image in res["images"]:
+                image_filename = save_b64_image(image)
+                images.append({"url": f"/cache/image/generations/{image_filename}"})
+                file_body_path = IMAGE_CACHE_DIR.joinpath(f"{image_filename}.json")
+
+                with open(file_body_path, "w") as f:
+                    json.dump({**data, "info": res["info"]}, f)
+
+            return images
+    except Exception as e:
+        error = e
+        if r != None:
+            data = r.json()
+            if "error" in data:
+                error = data["error"]["message"]
+        raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(error))

backend/open_webui/apps/images/utils/comfyui.py

@@ -0,0 +1,174 @@
+import asyncio
+import json
+import logging
+import random
+import urllib.parse
+import urllib.request
+from typing import Optional
+
+import websocket  # NOTE: websocket-client (https://github.com/websocket-client/websocket-client)
+from open_webui.env import SRC_LOG_LEVELS
+from pydantic import BaseModel
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["COMFYUI"])
+
+default_headers = {"User-Agent": "Mozilla/5.0"}
+
+
+def queue_prompt(prompt, client_id, base_url):
+    log.info("queue_prompt")
+    p = {"prompt": prompt, "client_id": client_id}
+    data = json.dumps(p).encode("utf-8")
+    log.debug(f"queue_prompt data: {data}")
+    try:
+        req = urllib.request.Request(
+            f"{base_url}/prompt", data=data, headers=default_headers
+        )
+        response = urllib.request.urlopen(req).read()
+        return json.loads(response)
+    except Exception as e:
+        log.exception(f"Error while queuing prompt: {e}")
+        raise e
+
+
+def get_image(filename, subfolder, folder_type, base_url):
+    log.info("get_image")
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    req = urllib.request.Request(
+        f"{base_url}/view?{url_values}", headers=default_headers
+    )
+    with urllib.request.urlopen(req) as response:
+        return response.read()
+
+
+def get_image_url(filename, subfolder, folder_type, base_url):
+    log.info("get_image")
+    data = {"filename": filename, "subfolder": subfolder, "type": folder_type}
+    url_values = urllib.parse.urlencode(data)
+    return f"{base_url}/view?{url_values}"
+
+
+def get_history(prompt_id, base_url):
+    log.info("get_history")
+
+    req = urllib.request.Request(
+        f"{base_url}/history/{prompt_id}", headers=default_headers
+    )
+    with urllib.request.urlopen(req) as response:
+        return json.loads(response.read())
+
+
+def get_images(ws, prompt, client_id, base_url):
+    prompt_id = queue_prompt(prompt, client_id, base_url)["prompt_id"]
+    output_images = []
+    while True:
+        out = ws.recv()
+        if isinstance(out, str):
+            message = json.loads(out)
+            if message["type"] == "executing":
+                data = message["data"]
+                if data["node"] is None and data["prompt_id"] == prompt_id:
+                    break  # Execution is done
+        else:
+            continue  # previews are binary data
+
+    history = get_history(prompt_id, base_url)[prompt_id]
+    for o in history["outputs"]:
+        for node_id in history["outputs"]:
+            node_output = history["outputs"][node_id]
+            if "images" in node_output:
+                for image in node_output["images"]:
+                    url = get_image_url(
+                        image["filename"], image["subfolder"], image["type"], base_url
+                    )
+                    output_images.append({"url": url})
+    return {"data": output_images}
+
+
+class ComfyUINodeInput(BaseModel):
+    type: Optional[str] = None
+    node_ids: list[str] = []
+    key: Optional[str] = "text"
+    value: Optional[str] = None
+
+
+class ComfyUIWorkflow(BaseModel):
+    workflow: str
+    nodes: list[ComfyUINodeInput]
+
+
+class ComfyUIGenerateImageForm(BaseModel):
+    workflow: ComfyUIWorkflow
+
+    prompt: str
+    negative_prompt: Optional[str] = None
+    width: int
+    height: int
+    n: int = 1
+
+    steps: Optional[int] = None
+    seed: Optional[int] = None
+
+
+async def comfyui_generate_image(
+    model: str, payload: ComfyUIGenerateImageForm, client_id, base_url
+):
+    ws_url = base_url.replace("http://", "ws://").replace("https://", "wss://")
+    workflow = json.loads(payload.workflow.workflow)
+
+    for node in payload.workflow.nodes:
+        if node.type:
+            if node.type == "model":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][node.key] = model
+            elif node.type == "prompt":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"]["text"] = payload.prompt
+            elif node.type == "negative_prompt":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"]["text"] = payload.negative_prompt
+            elif node.type == "width":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"]["width"] = payload.width
+            elif node.type == "height":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"]["height"] = payload.height
+            elif node.type == "n":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"]["batch_size"] = payload.n
+            elif node.type == "steps":
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"]["steps"] = payload.steps
+            elif node.type == "seed":
+                seed = (
+                    payload.seed
+                    if payload.seed
+                    else random.randint(0, 18446744073709551614)
+                )
+                for node_id in node.node_ids:
+                    workflow[node_id]["inputs"][node.key] = seed
+        else:
+            for node_id in node.node_ids:
+                workflow[node_id]["inputs"][node.key] = node.value
+
+    try:
+        ws = websocket.WebSocket()
+        ws.connect(f"{ws_url}/ws?clientId={client_id}")
+        log.info("WebSocket connection established.")
+    except Exception as e:
+        log.exception(f"Failed to connect to WebSocket server: {e}")
+        return None
+
+    try:
+        log.info("Sending workflow to WebSocket server.")
+        log.info(f"Workflow: {workflow}")
+        images = await asyncio.to_thread(get_images, ws, workflow, client_id, base_url)
+    except Exception as e:
+        log.exception(f"Error while receiving images: {e}")
+        images = None
+
+    ws.close()
+
+    return images

backend/open_webui/apps/openai/main.py

@@ -0,0 +1,509 @@
+import asyncio
+import hashlib
+import json
+import logging
+from pathlib import Path
+from typing import Literal, Optional, overload
+
+import aiohttp
+import requests
+from open_webui.apps.webui.models.models import Models
+from open_webui.config import (
+    AIOHTTP_CLIENT_TIMEOUT,
+    CACHE_DIR,
+    CORS_ALLOW_ORIGIN,
+    ENABLE_MODEL_FILTER,
+    ENABLE_OPENAI_API,
+    MODEL_FILTER_LIST,
+    OPENAI_API_BASE_URLS,
+    OPENAI_API_KEYS,
+    AppConfig,
+)
+from open_webui.constants import ERROR_MESSAGES
+from open_webui.env import SRC_LOG_LEVELS
+from fastapi import Depends, FastAPI, HTTPException, Request
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse, StreamingResponse
+from pydantic import BaseModel
+from starlette.background import BackgroundTask
+
+
+from open_webui.utils.payload import (
+    apply_model_params_to_body_openai,
+    apply_model_system_prompt_to_body,
+)
+
+from open_webui.utils.utils import get_admin_user, get_verified_user
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["OPENAI"])
+
+app = FastAPI()
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=CORS_ALLOW_ORIGIN,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+app.state.config = AppConfig()
+
+app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
+app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
+
+app.state.config.ENABLE_OPENAI_API = ENABLE_OPENAI_API
+app.state.config.OPENAI_API_BASE_URLS = OPENAI_API_BASE_URLS
+app.state.config.OPENAI_API_KEYS = OPENAI_API_KEYS
+
+app.state.MODELS = {}
+
+
+@app.middleware("http")
+async def check_url(request: Request, call_next):
+    if len(app.state.MODELS) == 0:
+        await get_all_models()
+
+    response = await call_next(request)
+    return response
+
+
+@app.get("/config")
+async def get_config(user=Depends(get_admin_user)):
+    return {"ENABLE_OPENAI_API": app.state.config.ENABLE_OPENAI_API}
+
+
+class OpenAIConfigForm(BaseModel):
+    enable_openai_api: Optional[bool] = None
+
+
+@app.post("/config/update")
+async def update_config(form_data: OpenAIConfigForm, user=Depends(get_admin_user)):
+    app.state.config.ENABLE_OPENAI_API = form_data.enable_openai_api
+    return {"ENABLE_OPENAI_API": app.state.config.ENABLE_OPENAI_API}
+
+
+class UrlsUpdateForm(BaseModel):
+    urls: list[str]
+
+
+class KeysUpdateForm(BaseModel):
+    keys: list[str]
+
+
+@app.get("/urls")
+async def get_openai_urls(user=Depends(get_admin_user)):
+    return {"OPENAI_API_BASE_URLS": app.state.config.OPENAI_API_BASE_URLS}
+
+
+@app.post("/urls/update")
+async def update_openai_urls(form_data: UrlsUpdateForm, user=Depends(get_admin_user)):
+    await get_all_models()
+    app.state.config.OPENAI_API_BASE_URLS = form_data.urls
+    return {"OPENAI_API_BASE_URLS": app.state.config.OPENAI_API_BASE_URLS}
+
+
+@app.get("/keys")
+async def get_openai_keys(user=Depends(get_admin_user)):
+    return {"OPENAI_API_KEYS": app.state.config.OPENAI_API_KEYS}
+
+
+@app.post("/keys/update")
+async def update_openai_key(form_data: KeysUpdateForm, user=Depends(get_admin_user)):
+    app.state.config.OPENAI_API_KEYS = form_data.keys
+    return {"OPENAI_API_KEYS": app.state.config.OPENAI_API_KEYS}
+
+
+@app.post("/audio/speech")
+async def speech(request: Request, user=Depends(get_verified_user)):
+    idx = None
+    try:
+        idx = app.state.config.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
+        body = await request.body()
+        name = hashlib.sha256(body).hexdigest()
+
+        SPEECH_CACHE_DIR = Path(CACHE_DIR).joinpath("./audio/speech/")
+        SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
+        file_path = SPEECH_CACHE_DIR.joinpath(f"{name}.mp3")
+        file_body_path = SPEECH_CACHE_DIR.joinpath(f"{name}.json")
+
+        # Check if the file already exists in the cache
+        if file_path.is_file():
+            return FileResponse(file_path)
+
+        headers = {}
+        headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEYS[idx]}"
+        headers["Content-Type"] = "application/json"
+        if "openrouter.ai" in app.state.config.OPENAI_API_BASE_URLS[idx]:
+            headers["HTTP-Referer"] = "https://openwebui.com/"
+            headers["X-Title"] = "Open WebUI"
+        r = None
+        try:
+            r = requests.post(
+                url=f"{app.state.config.OPENAI_API_BASE_URLS[idx]}/audio/speech",
+                data=body,
+                headers=headers,
+                stream=True,
+            )
+
+            r.raise_for_status()
+
+            # Save the streaming content to a file
+            with open(file_path, "wb") as f:
+                for chunk in r.iter_content(chunk_size=8192):
+                    f.write(chunk)
+
+            with open(file_body_path, "w") as f:
+                json.dump(json.loads(body.decode("utf-8")), f)
+
+            # Return the saved file
+            return FileResponse(file_path)
+
+        except Exception as e:
+            log.exception(e)
+            error_detail = "Open WebUI: Server Connection Error"
+            if r is not None:
+                try:
+                    res = r.json()
+                    if "error" in res:
+                        error_detail = f"External: {res['error']}"
+                except Exception:
+                    error_detail = f"External: {e}"
+
+            raise HTTPException(
+                status_code=r.status_code if r else 500, detail=error_detail
+            )
+
+    except ValueError:
+        raise HTTPException(status_code=401, detail=ERROR_MESSAGES.OPENAI_NOT_FOUND)
+
+
+async def fetch_url(url, key):
+    timeout = aiohttp.ClientTimeout(total=5)
+    try:
+        headers = {"Authorization": f"Bearer {key}"}
+        async with aiohttp.ClientSession(timeout=timeout, trust_env=True) as session:
+            async with session.get(url, headers=headers) as response:
+                return await response.json()
+    except Exception as e:
+        # Handle connection error here
+        log.error(f"Connection error: {e}")
+        return None
+
+
+async def cleanup_response(
+    response: Optional[aiohttp.ClientResponse],
+    session: Optional[aiohttp.ClientSession],
+):
+    if response:
+        response.close()
+    if session:
+        await session.close()
+
+
+def merge_models_lists(model_lists):
+    log.debug(f"merge_models_lists {model_lists}")
+    merged_list = []
+
+    for idx, models in enumerate(model_lists):
+        if models is not None and "error" not in models:
+            merged_list.extend(
+                [
+                    {
+                        **model,
+                        "name": model.get("name", model["id"]),
+                        "owned_by": "openai",
+                        "openai": model,
+                        "urlIdx": idx,
+                    }
+                    for model in models
+                    if "api.openai.com"
+                    not in app.state.config.OPENAI_API_BASE_URLS[idx]
+                    or "gpt" in model["id"]
+                ]
+            )
+
+    return merged_list
+
+
+def is_openai_api_disabled():
+    api_keys = app.state.config.OPENAI_API_KEYS
+    no_keys = len(api_keys) == 1 and api_keys[0] == ""
+    return no_keys or not app.state.config.ENABLE_OPENAI_API
+
+
+async def get_all_models_raw() -> list:
+    if is_openai_api_disabled():
+        return []
+
+    # Check if API KEYS length is same than API URLS length
+    num_urls = len(app.state.config.OPENAI_API_BASE_URLS)
+    num_keys = len(app.state.config.OPENAI_API_KEYS)
+
+    if num_keys != num_urls:
+        # if there are more keys than urls, remove the extra keys
+        if num_keys > num_urls:
+            new_keys = app.state.config.OPENAI_API_KEYS[:num_urls]
+            app.state.config.OPENAI_API_KEYS = new_keys
+        # if there are more urls than keys, add empty keys
+        else:
+            app.state.config.OPENAI_API_KEYS += [""] * (num_urls - num_keys)
+
+    tasks = [
+        fetch_url(f"{url}/models", app.state.config.OPENAI_API_KEYS[idx])
+        for idx, url in enumerate(app.state.config.OPENAI_API_BASE_URLS)
+    ]
+
+    responses = await asyncio.gather(*tasks)
+    log.debug(f"get_all_models:responses() {responses}")
+
+    return responses
+
+
+@overload
+async def get_all_models(raw: Literal[True]) -> list: ...
+
+
+@overload
+async def get_all_models(raw: Literal[False] = False) -> dict[str, list]: ...
+
+
+async def get_all_models(raw=False) -> dict[str, list] | list:
+    log.info("get_all_models()")
+    if is_openai_api_disabled():
+        return [] if raw else {"data": []}
+
+    responses = await get_all_models_raw()
+    if raw:
+        return responses
+
+    def extract_data(response):
+        if response and "data" in response:
+            return response["data"]
+        if isinstance(response, list):
+            return response
+        return None
+
+    models = {"data": merge_models_lists(map(extract_data, responses))}
+
+    log.debug(f"models: {models}")
+    app.state.MODELS = {model["id"]: model for model in models["data"]}
+
+    return models
+
+
+@app.get("/models")
+@app.get("/models/{url_idx}")
+async def get_models(url_idx: Optional[int] = None, user=Depends(get_verified_user)):
+    if url_idx is None:
+        models = await get_all_models()
+        if app.state.config.ENABLE_MODEL_FILTER:
+            if user.role == "user":
+                models["data"] = list(
+                    filter(
+                        lambda model: model["id"] in app.state.config.MODEL_FILTER_LIST,
+                        models["data"],
+                    )
+                )
+                return models
+        return models
+    else:
+        url = app.state.config.OPENAI_API_BASE_URLS[url_idx]
+        key = app.state.config.OPENAI_API_KEYS[url_idx]
+
+        headers = {}
+        headers["Authorization"] = f"Bearer {key}"
+        headers["Content-Type"] = "application/json"
+
+        r = None
+
+        try:
+            r = requests.request(method="GET", url=f"{url}/models", headers=headers)
+            r.raise_for_status()
+
+            response_data = r.json()
+            if "api.openai.com" in url:
+                response_data["data"] = list(
+                    filter(lambda model: "gpt" in model["id"], response_data["data"])
+                )
+
+            return response_data
+        except Exception as e:
+            log.exception(e)
+            error_detail = "Open WebUI: Server Connection Error"
+            if r is not None:
+                try:
+                    res = r.json()
+                    if "error" in res:
+                        error_detail = f"External: {res['error']}"
+                except Exception:
+                    error_detail = f"External: {e}"
+
+            raise HTTPException(
+                status_code=r.status_code if r else 500,
+                detail=error_detail,
+            )
+
+
+@app.post("/chat/completions")
+@app.post("/chat/completions/{url_idx}")
+async def generate_chat_completion(
+    form_data: dict,
+    url_idx: Optional[int] = None,
+    user=Depends(get_verified_user),
+):
+    idx = 0
+    payload = {**form_data}
+
+    if "metadata" in payload:
+        del payload["metadata"]
+
+    model_id = form_data.get("model")
+    model_info = Models.get_model_by_id(model_id)
+
+    if model_info:
+        if model_info.base_model_id:
+            payload["model"] = model_info.base_model_id
+
+        params = model_info.params.model_dump()
+        payload = apply_model_params_to_body_openai(params, payload)
+        payload = apply_model_system_prompt_to_body(params, payload, user)
+
+    model = app.state.MODELS[payload.get("model")]
+    idx = model["urlIdx"]
+
+    if "pipeline" in model and model.get("pipeline"):
+        payload["user"] = {
+            "name": user.name,
+            "id": user.id,
+            "email": user.email,
+            "role": user.role,
+        }
+
+    # Convert the modified body back to JSON
+    payload = json.dumps(payload)
+
+    log.debug(payload)
+
+    url = app.state.config.OPENAI_API_BASE_URLS[idx]
+    key = app.state.config.OPENAI_API_KEYS[idx]
+
+    headers = {}
+    headers["Authorization"] = f"Bearer {key}"
+    headers["Content-Type"] = "application/json"
+    if "openrouter.ai" in app.state.config.OPENAI_API_BASE_URLS[idx]:
+        headers["HTTP-Referer"] = "https://openwebui.com/"
+        headers["X-Title"] = "Open WebUI"
+
+    r = None
+    session = None
+    streaming = False
+
+    try:
+        session = aiohttp.ClientSession(
+            trust_env=True, timeout=aiohttp.ClientTimeout(total=AIOHTTP_CLIENT_TIMEOUT)
+        )
+        r = await session.request(
+            method="POST",
+            url=f"{url}/chat/completions",
+            data=payload,
+            headers=headers,
+        )
+
+        r.raise_for_status()
+
+        # Check if response is SSE
+        if "text/event-stream" in r.headers.get("Content-Type", ""):
+            streaming = True
+            return StreamingResponse(
+                r.content,
+                status_code=r.status,
+                headers=dict(r.headers),
+                background=BackgroundTask(
+                    cleanup_response, response=r, session=session
+                ),
+            )
+        else:
+            response_data = await r.json()
+            return response_data
+    except Exception as e:
+        log.exception(e)
+        error_detail = "Open WebUI: Server Connection Error"
+        if r is not None:
+            try:
+                res = await r.json()
+                print(res)
+                if "error" in res:
+                    error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}"
+            except Exception:
+                error_detail = f"External: {e}"
+        raise HTTPException(status_code=r.status if r else 500, detail=error_detail)
+    finally:
+        if not streaming and session:
+            if r:
+                r.close()
+            await session.close()
+
+
+@app.api_route("/{path:path}", methods=["GET", "POST", "PUT", "DELETE"])
+async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
+    idx = 0
+
+    body = await request.body()
+
+    url = app.state.config.OPENAI_API_BASE_URLS[idx]
+    key = app.state.config.OPENAI_API_KEYS[idx]
+
+    target_url = f"{url}/{path}"
+
+    headers = {}
+    headers["Authorization"] = f"Bearer {key}"
+    headers["Content-Type"] = "application/json"
+
+    r = None
+    session = None
+    streaming = False
+
+    try:
+        session = aiohttp.ClientSession(trust_env=True)
+        r = await session.request(
+            method=request.method,
+            url=target_url,
+            data=body,
+            headers=headers,
+        )
+
+        r.raise_for_status()
+
+        # Check if response is SSE
+        if "text/event-stream" in r.headers.get("Content-Type", ""):
+            streaming = True
+            return StreamingResponse(
+                r.content,
+                status_code=r.status,
+                headers=dict(r.headers),
+                background=BackgroundTask(
+                    cleanup_response, response=r, session=session
+                ),
+            )
+        else:
+            response_data = await r.json()
+            return response_data
+    except Exception as e:
+        log.exception(e)
+        error_detail = "Open WebUI: Server Connection Error"
+        if r is not None:
+            try:
+                res = await r.json()
+                print(res)
+                if "error" in res:
+                    error_detail = f"External: {res['error']['message'] if 'message' in res['error'] else res['error']}"
+            except Exception:
+                error_detail = f"External: {e}"
+        raise HTTPException(status_code=r.status if r else 500, detail=error_detail)
+    finally:
+        if not streaming and session:
+            if r:
+                r.close()
+            await session.close()

backend/open_webui/apps/rag/search/brave.py

@@ -0,0 +1,42 @@
+import logging
+from typing import Optional
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_brave(
+    api_key: str, query: str, count: int, filter_list: Optional[list[str]] = None
+) -> list[SearchResult]:
+    """Search using Brave's Search API and return the results as a list of SearchResult objects.
+
+    Args:
+        api_key (str): A Brave Search API key
+        query (str): The query to search for
+    """
+    url = "https://api.search.brave.com/res/v1/web/search"
+    headers = {
+        "Accept": "application/json",
+        "Accept-Encoding": "gzip",
+        "X-Subscription-Token": api_key,
+    }
+    params = {"q": query, "count": count}
+
+    response = requests.get(url, headers=headers, params=params)
+    response.raise_for_status()
+
+    json_response = response.json()
+    results = json_response.get("web", {}).get("results", [])
+    if filter_list:
+        results = get_filtered_results(results, filter_list)
+
+    return [
+        SearchResult(
+            link=result["url"], title=result.get("title"), snippet=result.get("snippet")
+        )
+        for result in results[:count]
+    ]

backend/open_webui/apps/rag/search/duckduckgo.py

@@ -0,0 +1,50 @@
+import logging
+from typing import Optional
+
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from duckduckgo_search import DDGS
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_duckduckgo(
+    query: str, count: int, filter_list: Optional[list[str]] = None
+) -> list[SearchResult]:
+    """
+    Search using DuckDuckGo's Search API and return the results as a list of SearchResult objects.
+    Args:
+        query (str): The query to search for
+        count (int): The number of results to return
+
+    Returns:
+        list[SearchResult]: A list of search results
+    """
+    # Use the DDGS context manager to create a DDGS object
+    with DDGS() as ddgs:
+        # Use the ddgs.text() method to perform the search
+        ddgs_gen = ddgs.text(
+            query, safesearch="moderate", max_results=count, backend="api"
+        )
+        # Check if there are search results
+        if ddgs_gen:
+            # Convert the search results into a list
+            search_results = [r for r in ddgs_gen]
+
+    # Create an empty list to store the SearchResult objects
+    results = []
+    # Iterate over each search result
+    for result in search_results:
+        # Create a SearchResult object and append it to the results list
+        results.append(
+            SearchResult(
+                link=result["href"],
+                title=result.get("title"),
+                snippet=result.get("body"),
+            )
+        )
+    if filter_list:
+        results = get_filtered_results(results, filter_list)
+    # Return the list of search results
+    return results

backend/open_webui/apps/rag/search/google_pse.py

@@ -0,0 +1,50 @@
+import logging
+from typing import Optional
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_google_pse(
+    api_key: str,
+    search_engine_id: str,
+    query: str,
+    count: int,
+    filter_list: Optional[list[str]] = None,
+) -> list[SearchResult]:
+    """Search using Google's Programmable Search Engine API and return the results as a list of SearchResult objects.
+
+    Args:
+        api_key (str): A Programmable Search Engine API key
+        search_engine_id (str): A Programmable Search Engine ID
+        query (str): The query to search for
+    """
+    url = "https://www.googleapis.com/customsearch/v1"
+
+    headers = {"Content-Type": "application/json"}
+    params = {
+        "cx": search_engine_id,
+        "q": query,
+        "key": api_key,
+        "num": count,
+    }
+
+    response = requests.request("GET", url, headers=headers, params=params)
+    response.raise_for_status()
+
+    json_response = response.json()
+    results = json_response.get("items", [])
+    if filter_list:
+        results = get_filtered_results(results, filter_list)
+    return [
+        SearchResult(
+            link=result["link"],
+            title=result.get("title"),
+            snippet=result.get("snippet"),
+        )
+        for result in results
+    ]

backend/open_webui/apps/rag/search/jina_search.py

@@ -0,0 +1,41 @@
+import logging
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult
+from open_webui.env import SRC_LOG_LEVELS
+from yarl import URL
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_jina(query: str, count: int) -> list[SearchResult]:
+    """
+    Search using Jina's Search API and return the results as a list of SearchResult objects.
+    Args:
+        query (str): The query to search for
+        count (int): The number of results to return
+
+    Returns:
+        list[SearchResult]: A list of search results
+    """
+    jina_search_endpoint = "https://s.jina.ai/"
+    headers = {
+        "Accept": "application/json",
+    }
+    url = str(URL(jina_search_endpoint + query))
+    response = requests.get(url, headers=headers)
+    response.raise_for_status()
+    data = response.json()
+
+    results = []
+    for result in data["data"][:count]:
+        results.append(
+            SearchResult(
+                link=result["url"],
+                title=result.get("title"),
+                snippet=result.get("content"),
+            )
+        )
+
+    return results

backend/open_webui/apps/rag/search/main.py

@@ -0,0 +1,22 @@
+from typing import Optional
+from urllib.parse import urlparse
+
+from pydantic import BaseModel
+
+
+def get_filtered_results(results, filter_list):
+    if not filter_list:
+        return results
+    filtered_results = []
+    for result in results:
+        url = result.get("url") or result.get("link", "")
+        domain = urlparse(url).netloc
+        if any(domain.endswith(filtered_domain) for filtered_domain in filter_list):
+            filtered_results.append(result)
+    return filtered_results
+
+
+class SearchResult(BaseModel):
+    link: str
+    title: Optional[str]
+    snippet: Optional[str]

backend/open_webui/apps/rag/search/searchapi.py

@@ -0,0 +1,48 @@
+import logging
+from typing import Optional
+from urllib.parse import urlencode
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_searchapi(
+    api_key: str,
+    engine: str,
+    query: str,
+    count: int,
+    filter_list: Optional[list[str]] = None,
+) -> list[SearchResult]:
+    """Search using searchapi.io's API and return the results as a list of SearchResult objects.
+
+    Args:
+      api_key (str): A searchapi.io API key
+      query (str): The query to search for
+    """
+    url = "https://www.searchapi.io/api/v1/search"
+
+    engine = engine or "google"
+
+    payload = {"engine": engine, "q": query, "api_key": api_key}
+
+    url = f"{url}?{urlencode(payload)}"
+    response = requests.request("GET", url)
+
+    json_response = response.json()
+    log.info(f"results from searchapi search: {json_response}")
+
+    results = sorted(
+        json_response.get("organic_results", []), key=lambda x: x.get("position", 0)
+    )
+    if filter_list:
+        results = get_filtered_results(results, filter_list)
+    return [
+        SearchResult(
+            link=result["link"], title=result["title"], snippet=result["snippet"]
+        )
+        for result in results[:count]
+    ]

backend/open_webui/apps/rag/search/searxng.py

@@ -0,0 +1,91 @@
+import logging
+from typing import Optional
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_searxng(
+    query_url: str,
+    query: str,
+    count: int,
+    filter_list: Optional[list[str]] = None,
+    **kwargs,
+) -> list[SearchResult]:
+    """
+    Search a SearXNG instance for a given query and return the results as a list of SearchResult objects.
+
+    The function allows passing additional parameters such as language or time_range to tailor the search result.
+
+    Args:
+        query_url (str): The base URL of the SearXNG server.
+        query (str): The search term or question to find in the SearXNG database.
+        count (int): The maximum number of results to retrieve from the search.
+
+    Keyword Args:
+        language (str): Language filter for the search results; e.g., "en-US". Defaults to an empty string.
+        safesearch (int): Safe search filter for safer web results; 0 = off, 1 = moderate, 2 = strict. Defaults to 1 (moderate).
+        time_range (str): Time range for filtering results by date; e.g., "2023-04-05..today" or "all-time". Defaults to ''.
+        categories: (Optional[list[str]]): Specific categories within which the search should be performed, defaulting to an empty string if not provided.
+
+    Returns:
+        list[SearchResult]: A list of SearchResults sorted by relevance score in descending order.
+
+    Raise:
+        requests.exceptions.RequestException: If a request error occurs during the search process.
+    """
+
+    # Default values for optional parameters are provided as empty strings or None when not specified.
+    language = kwargs.get("language", "en-US")
+    safesearch = kwargs.get("safesearch", "1")
+    time_range = kwargs.get("time_range", "")
+    categories = "".join(kwargs.get("categories", []))
+
+    params = {
+        "q": query,
+        "format": "json",
+        "pageno": 1,
+        "safesearch": safesearch,
+        "language": language,
+        "time_range": time_range,
+        "categories": categories,
+        "theme": "simple",
+        "image_proxy": 0,
+    }
+
+    # Legacy query format
+    if "<query>" in query_url:
+        # Strip all query parameters from the URL
+        query_url = query_url.split("?")[0]
+
+    log.debug(f"searching {query_url}")
+
+    response = requests.get(
+        query_url,
+        headers={
+            "User-Agent": "Open WebUI (https://github.com/open-webui/open-webui) RAG Bot",
+            "Accept": "text/html",
+            "Accept-Encoding": "gzip, deflate",
+            "Accept-Language": "en-US,en;q=0.5",
+            "Connection": "keep-alive",
+        },
+        params=params,
+    )
+
+    response.raise_for_status()  # Raise an exception for HTTP errors.
+
+    json_response = response.json()
+    results = json_response.get("results", [])
+    sorted_results = sorted(results, key=lambda x: x.get("score", 0), reverse=True)
+    if filter_list:
+        sorted_results = get_filtered_results(sorted_results, filter_list)
+    return [
+        SearchResult(
+            link=result["url"], title=result.get("title"), snippet=result.get("content")
+        )
+        for result in sorted_results[:count]
+    ]

backend/open_webui/apps/rag/search/serper.py

@@ -0,0 +1,43 @@
+import json
+import logging
+from typing import Optional
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_serper(
+    api_key: str, query: str, count: int, filter_list: Optional[list[str]] = None
+) -> list[SearchResult]:
+    """Search using serper.dev's API and return the results as a list of SearchResult objects.
+
+    Args:
+        api_key (str): A serper.dev API key
+        query (str): The query to search for
+    """
+    url = "https://google.serper.dev/search"
+
+    payload = json.dumps({"q": query})
+    headers = {"X-API-KEY": api_key, "Content-Type": "application/json"}
+
+    response = requests.request("POST", url, headers=headers, data=payload)
+    response.raise_for_status()
+
+    json_response = response.json()
+    results = sorted(
+        json_response.get("organic", []), key=lambda x: x.get("position", 0)
+    )
+    if filter_list:
+        results = get_filtered_results(results, filter_list)
+    return [
+        SearchResult(
+            link=result["link"],
+            title=result.get("title"),
+            snippet=result.get("description"),
+        )
+        for result in results[:count]
+    ]

backend/open_webui/apps/rag/search/serply.py

@@ -0,0 +1,69 @@
+import logging
+from typing import Optional
+from urllib.parse import urlencode
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_serply(
+    api_key: str,
+    query: str,
+    count: int,
+    hl: str = "us",
+    limit: int = 10,
+    device_type: str = "desktop",
+    proxy_location: str = "US",
+    filter_list: Optional[list[str]] = None,
+) -> list[SearchResult]:
+    """Search using serper.dev's API and return the results as a list of SearchResult objects.
+
+    Args:
+        api_key (str): A serply.io API key
+        query (str): The query to search for
+        hl (str): Host Language code to display results in (reference https://developers.google.com/custom-search/docs/xml_results?hl=en#wsInterfaceLanguages)
+        limit (int): The maximum number of results to return [10-100, defaults to 10]
+    """
+    log.info("Searching with Serply")
+
+    url = "https://api.serply.io/v1/search/"
+
+    query_payload = {
+        "q": query,
+        "language": "en",
+        "num": limit,
+        "gl": proxy_location.upper(),
+        "hl": hl.lower(),
+    }
+
+    url = f"{url}{urlencode(query_payload)}"
+    headers = {
+        "X-API-KEY": api_key,
+        "X-User-Agent": device_type,
+        "User-Agent": "open-webui",
+        "X-Proxy-Location": proxy_location,
+    }
+
+    response = requests.request("GET", url, headers=headers)
+    response.raise_for_status()
+
+    json_response = response.json()
+    log.info(f"results from serply search: {json_response}")
+
+    results = sorted(
+        json_response.get("results", []), key=lambda x: x.get("realPosition", 0)
+    )
+    if filter_list:
+        results = get_filtered_results(results, filter_list)
+    return [
+        SearchResult(
+            link=result["link"],
+            title=result.get("title"),
+            snippet=result.get("description"),
+        )
+        for result in results[:count]
+    ]

backend/open_webui/apps/rag/search/serpstack.py

@@ -0,0 +1,48 @@
+import logging
+from typing import Optional
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult, get_filtered_results
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_serpstack(
+    api_key: str,
+    query: str,
+    count: int,
+    filter_list: Optional[list[str]] = None,
+    https_enabled: bool = True,
+) -> list[SearchResult]:
+    """Search using serpstack.com's and return the results as a list of SearchResult objects.
+
+    Args:
+        api_key (str): A serpstack.com API key
+        query (str): The query to search for
+        https_enabled (bool): Whether to use HTTPS or HTTP for the API request
+    """
+    url = f"{'https' if https_enabled else 'http'}://api.serpstack.com/search"
+
+    headers = {"Content-Type": "application/json"}
+    params = {
+        "access_key": api_key,
+        "query": query,
+    }
+
+    response = requests.request("POST", url, headers=headers, params=params)
+    response.raise_for_status()
+
+    json_response = response.json()
+    results = sorted(
+        json_response.get("organic_results", []), key=lambda x: x.get("position", 0)
+    )
+    if filter_list:
+        results = get_filtered_results(results, filter_list)
+    return [
+        SearchResult(
+            link=result["url"], title=result.get("title"), snippet=result.get("snippet")
+        )
+        for result in results[:count]
+    ]

backend/open_webui/apps/rag/search/tavily.py

@@ -0,0 +1,38 @@
+import logging
+
+import requests
+from open_webui.apps.rag.search.main import SearchResult
+from open_webui.env import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_tavily(api_key: str, query: str, count: int) -> list[SearchResult]:
+    """Search using Tavily's Search API and return the results as a list of SearchResult objects.
+
+    Args:
+        api_key (str): A Tavily Search API key
+        query (str): The query to search for
+
+    Returns:
+        list[SearchResult]: A list of search results
+    """
+    url = "https://api.tavily.com/search"
+    data = {"query": query, "api_key": api_key}
+
+    response = requests.post(url, json=data)
+    response.raise_for_status()
+
+    json_response = response.json()
+
+    raw_search_results = json_response.get("results", [])
+
+    return [
+        SearchResult(
+            link=result["url"],
+            title=result.get("title", ""),
+            snippet=result.get("content"),
+        )
+        for result in raw_search_results[:count]
+    ]

backend/open_webui/apps/rag/search/testdata/brave.json

@@ -0,0 +1,998 @@
+{
+	"query": {
+		"original": "python",
+		"show_strict_warning": false,
+		"is_navigational": true,
+		"is_news_breaking": false,
+		"spellcheck_off": true,
+		"country": "us",
+		"bad_results": false,
+		"should_fallback": false,
+		"postal_code": "",
+		"city": "",
+		"header_country": "",
+		"more_results_available": true,
+		"state": ""
+	},
+	"mixed": {
+		"type": "mixed",
+		"main": [
+			{
+				"type": "web",
+				"index": 0,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 1,
+				"all": false
+			},
+			{
+				"type": "news",
+				"all": true
+			},
+			{
+				"type": "web",
+				"index": 2,
+				"all": false
+			},
+			{
+				"type": "videos",
+				"all": true
+			},
+			{
+				"type": "web",
+				"index": 3,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 4,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 5,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 6,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 7,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 8,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 9,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 10,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 11,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 12,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 13,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 14,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 15,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 16,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 17,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 18,
+				"all": false
+			},
+			{
+				"type": "web",
+				"index": 19,
+				"all": false
+			}
+		],
+		"top": [],
+		"side": []
+	},
+	"news": {
+		"type": "news",
+		"results": [
+			{
+				"title": "Google lays off staff from Flutter, Dart and Python teams weeks before its developer conference | TechCrunch",
+				"url": "https://techcrunch.com/2024/05/01/google-lays-off-staff-from-flutter-dart-python-weeks-before-its-developer-conference/",
+				"is_source_local": false,
+				"is_source_both": false,
+				"description": "Google told TechCrunch that Flutter will have new updates to share at I/O this year.",
+				"page_age": "2024-05-02T17:40:05",
+				"family_friendly": true,
+				"meta_url": {
+					"scheme": "https",
+					"netloc": "techcrunch.com",
+					"hostname": "techcrunch.com",
+					"favicon": "https://imgs.search.brave.com/N6VSEVahheQOb7lqfb47dhUOB4XD-6sfQOP94sCe3Oo/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvZGI5Njk0Yzlk/YWM3ZWMwZjg1MTM1/NmIyMWEyNzBjZDZj/ZDQyNmFlNGU0NDRi/MDgyYjQwOGU0Y2Qy/ZWMwNWQ2ZC90ZWNo/Y3J1bmNoLmNvbS8",
+					"path": "› 2024  › 05  › 01  › google-lays-off-staff-from-flutter-dart-python-weeks-before-its-developer-conference"
+				},
+				"breaking": false,
+				"thumbnail": {
+					"src": "https://imgs.search.brave.com/gCI5UG8muOEOZDAx9vpu6L6r6R00mD7jOF08-biFoyQ/rs:fit:200:200:1/g:ce/aHR0cHM6Ly90ZWNo/Y3J1bmNoLmNvbS93/cC1jb250ZW50L3Vw/bG9hZHMvMjAxOC8x/MS9HZXR0eUltYWdl/cy0xMDAyNDg0NzQ2/LmpwZz9yZXNpemU9/MTIwMCw4MDA"
+				},
+				"age": "3 days ago",
+				"extra_snippets": [
+					"Ahead of Google’s annual I/O developer conference in May, the tech giant has laid off staff across key teams like Flutter, Dart, Python and others, according to reports from affected employees shared on social media. Google confirmed the layoffs to TechCrunch, but not the specific teams, roles or how many people were let go.",
+					"In a separate post on Reddit, another commenter noted the Python team affected by the layoffs were those who managed the internal Python runtimes and toolchains and worked with OSS Python. Included in this group were “multiple current and former core devs and steering council members,” they said.",
+					"Meanwhile, others shared on Y Combinator’s Hacker News, where a Python team member detailed their specific duties on the technical front and noted that, for years, much of the work was done with fewer than 10 people. Another Hacker News commenter said their early years on the Python team were spent paying down internal technical debt accumulated from not having a strong Python strategy.",
+					"CNBC reports that a total of 200 people were let go across Google’s “Core” teams, which included those working on Python, app platforms, and other engineering roles. Some jobs were being shifted to India and Mexico, it said, citing internal documents."
+				]
+			}
+		],
+		"mutated_by_goggles": false
+	},
+	"type": "search",
+	"videos": {
+		"type": "videos",
+		"results": [
+			{
+				"type": "video_result",
+				"url": "https://www.youtube.com/watch?v=b093aqAZiPU",
+				"title": "👩‍💻 Python for Beginners Tutorial - YouTube",
+				"description": "In this step-by-step Python for beginner's tutorial, learn how you can get started programming in Python. In this video, I assume that you are completely new...",
+				"age": "March 25, 2021",
+				"page_age": "2021-03-25T10:00:08",
+				"video": {},
+				"meta_url": {
+					"scheme": "https",
+					"netloc": "youtube.com",
+					"hostname": "www.youtube.com",
+					"favicon": "https://imgs.search.brave.com/Ux4Hee4evZhvjuTKwtapBycOGjGDci2Gvn2pbSzvbC0/rs:fit:32:32:1/g:ce/aHR0cDovL2Zhdmlj/b25zLnNlYXJjaC5i/cmF2ZS5jb20vaWNv/bnMvOTkyZTZiMWU3/YzU3Nzc5YjExYzUy/N2VhZTIxOWNlYjM5/ZGVjN2MyZDY4Nzdh/ZDYzMTYxNmI5N2Rk/Y2Q3N2FkNy93d3cu/eW91dHViZS5jb20v",
+					"path": "› watch"
+				},
+				"thumbnail": {
+					"src": "https://imgs.search.brave.com/tZI4Do4_EYcTCsD_MvE3Jx8FzjIXwIJ5ZuKhwiWTyZs/rs:fit:200:200:1/g:ce/aHR0cHM6Ly9pLnl0/aW1nLmNvbS92aS9i/MDkzYXFBWmlQVS9t/YXhyZXNkZWZhdWx0/LmpwZw"
+				}
+			},
+			{
+				"type": "video_result",
+				"url": "https://www.youtube.com/watch?v=rfscVS0vtbw",
+				"title": "Learn Python - Full Course for Beginners [Tutorial] - YouTube",
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+					"Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000. Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2.",
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+					"It is one of the most efficient, dependable, and potent online compilers for the Python programming language. It is not necessary for you to bother about establishing a Python environment in your local. Now You can immediately execute the Python code in the web browser of your choice.",
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+					"Difference between / vs. // operator in Python",
+					"Double Star or (**) is one of the Arithmetic Operator (Like +, -, *, **, /, //, %) in Python Language. It is also known as Power Operator.",
+					"The time complexity of the given Python program is O(n), where n is the number of key-value pairs in the input dictionary.",
+					"Inplace Operators in Python | Set 2 (ixor(), iand(), ipow(),…)"
+				]
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+					"By default, Python allows you to import and use anything, anywhere. Over time, this results in modules that were intended to be separate getting tightly coupled together, and domain boundaries breaking down. We experienced this first-hand at a unicorn startup, where the eng team paused development for over a year in an attempt to split up packages into independent services.",
+					"Hello r/Python! It's time to share what you've been working on! Whether it's a work-in-progress, a completed masterpiece, or just a rough idea, let us know what you're up to!",
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+					"Building a complete Python installation requires the use of various additional third-party libraries, depending on your build platform and configure options. Not all standard library modules are buildable or useable on all platforms. Refer to the Install dependencies section of the Developer Guide for current detailed information on dependencies for various Linux distributions and macOS.",
+					"To get an optimized build of Python, configure --enable-optimizations before you run make. This sets the default make targets up to enable Profile Guided Optimization (PGO) and may be used to auto-enable Link Time Optimization (LTO) on some platforms. For more details, see the sections below.",
+					"Copyright © 2001-2024 Python Software Foundation. All rights reserved."
+				]
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+					"You might have noticed that methods like insert, remove or sort that only modify the list have no return value printed – they return the default None. [1] This is a design principle for all mutable data structures in Python.",
+					"We saw that lists and strings have many common properties, such as indexing and slicing operations. They are two examples of sequence data types (see Sequence Types — list, tuple, range). Since Python is an evolving language, other sequence data types may be added. There is also another standard sequence data type: the tuple.",
+					"Python also includes a data type for sets. A set is an unordered collection with no duplicate elements. Basic uses include membership testing and eliminating duplicate entries. Set objects also support mathematical operations like union, intersection, difference, and symmetric difference.",
+					"Another useful data type built into Python is the dictionary (see Mapping Types — dict). Dictionaries are sometimes found in other languages as “associative memories” or “associative arrays”. Unlike sequences, which are indexed by a range of numbers, dictionaries are indexed by keys, which can be any immutable type; strings and numbers can always be keys."
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+				"description": "Big <strong>Python</strong> updates require <strong>Python</strong> packages to be rebuild. For some reason they didn&#x27;t think a bump that made it necessary to rebuild half the official repo was a news post.",
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+					"Traceback (most recent call last): File \"/usr/lib/python3.12/importlib/metadata/__init__.py\", line 397, in from_name return next(cls.discover(name=name)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ StopIteration During handling of the above exception, another exception occurred: Traceback (most recent call last): File \"/usr/bin/informant\", line 33, in <module> sys.exit(load_entry_point('informant==0.5.0', 'console_scripts', 'informant')()) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File \"/usr/bin/informant\", line 22, in importlib_load_entry_point for entry_point in distribution(dis"
+				]
+			},
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+					"Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, Python, PHP, Bootstrap, Java, XML and more.",
+					"HTML CSS JAVASCRIPT SQL PYTHON JAVA PHP HOW TO W3.CSS C C++ C# BOOTSTRAP REACT MYSQL JQUERY EXCEL XML DJANGO NUMPY PANDAS NODEJS R TYPESCRIPT ANGULAR GIT POSTGRESQL MONGODB ASP AI GO KOTLIN SASS VUE DSA GEN AI SCIPY AWS CYBERSECURITY DATA SCIENCE",
+					"Python Variables Variable Names Assign Multiple Values Output Variables Global Variables Variable Exercises Python Data Types Python Numbers Python Casting Python Strings",
+					"Python Strings Slicing Strings Modify Strings Concatenate Strings Format Strings Escape Characters String Methods String Exercises Python Booleans Python Operators Python Lists"
+				]
+			},
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+				"title": "bug: AUR package wants to use python but does not find any preset version · Issue #1740 · asdf-vm/asdf",
+				"url": "https://github.com/asdf-vm/asdf/issues/1740",
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+				"description": "Describe the Bug I am not sure why this is happening, I am trying to install tlpui from AUR and it fails, here are some logs to help: ==&gt; Making package: tlpui 2:1.6.5-1 (Mi 10 apr 2024 23:19:15 +0...",
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+					"==> Starting build()... No preset version installed for command python Please install a version by running one of the following: asdf install python 3.8 or add one of the following versions in your config file at /home/ferret/.tool-versions python 3.11.0 python 3.12.1 python 3.12.3 ==> ERROR: A failure occurred in build(). Aborting...",
+					"-> error making: tlpui-exit status 4 -> Failed to install the following packages. Manual intervention is required: tlpui - exit status 4 ferret@FX505DT in ~ $ cat /home/ferret/.tool-versions nodejs 21.6.0 python 3.12.3 ferret@FX505DT in ~ $ python -V Python 3.12.3 ferret@FX505DT in ~ $ which python /home/ferret/.asdf/shims/python",
+					"Describe the Bug I am not sure why this is happening, I am trying to install tlpui from AUR and it fails, here are some logs to help: ==> Making package: tlpui 2:1.6.5-1 (Mi 10 apr 2024 23:19:15 +0300) ==> Retrieving sources... -> Found ..."
+				]
+			},
+			{
+				"title": "What are python.exe and python3.exe, and why do they appear to point to App Installer? | Windows 11 Forum",
+				"url": "https://www.elevenforum.com/t/what-are-python-exe-and-python3-exe-and-why-do-they-appear-to-point-to-app-installer.24886/",
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+					"Why are python.exe and python3.exe listed as App Installer? I assume that App Installer refers to installation of Microsoft Store / UWP apps, but if that's the case, then why are they called python.exe and python3.exe? Or are python.exe and python3.exe simply serving as aliases / pointers pointing to App Installer, which is itself a Microsoft Store App?",
+					"Or are python.exe and python3.exe simply serving as aliases / pointers pointing to App Installer, which is itself a Microsoft Store App? I wish to soon install Python, along with an integrated development editor (IDE), on my machine, so that I can code in Python.",
+					"I wish to soon install Python, along with an integrated development editor (IDE), on my machine, so that I can code in Python. But is a Python interpreter already on my computer as suggested, if obliquely, by the presence of python.exe and python3.exe? I kind of doubt it."
+				]
+			},
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+				"title": "How to Watermark Your Images Using Python OpenCV in ...",
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+				"title": "Increment and Decrement Operators in Python?",
+				"url": "https://www.tutorialspoint.com/increment-and-decrement-operators-in-python",
+				"is_source_local": false,
+				"is_source_both": false,
+				"description": "Increment and Decrement Operators in <strong>Python</strong> - <strong>Python</strong> does not have unary increment/decrement operator (++/--). Instead to increment a value, usea += 1to decrement a value, use −a -= 1Example&gt;&gt;&gt; a = 0 &gt;&gt;&gt; &gt;&gt;&gt; #Increment &gt;&gt;&gt; a +=1 &gt;&gt;&gt; &gt;&gt;&gt; #Decrement &gt;&gt;&gt; a -= 1 &gt;&gt;&gt; &gt;&gt;&gt; #value of a &gt;&gt;&gt; a 0Python ...",
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+				"extra_snippets": [
+					"Increment and Decrement Operators in Python - Python does not have unary increment/decrement operator (++/--). Instead to increment a value, usea += 1to decrement a value, use −a -= 1Example>>> a = 0 >>> >>> #Increment >>> a +=1 >>> >>> #Decrement >>> a -= 1 >>> >>> #value of a >>> a 0Python does not provide multiple ways to do the same thing",
+					"So what above statement means in python is: create an object of type int having value 1 and give the name a to it. The object is an instance of int having value 1 and the name a refers to it. The assigned name a and the object to which it refers are distinct.",
+					"Python does not provide multiple ways to do the same thing .",
+					"However, be careful if you are coming from a language like C, Python doesn’t have \"variables\" in the sense that C does, instead python uses names and objects and in python integers (int’s) are immutable."
+				]
+			},
+			{
+				"title": "Gumroad – How not to suck at Python / SideFX Houdini | CG Persia",
+				"url": "https://cgpersia.com/2024/05/gumroad-how-not-to-suck-at-python-sidefx-houdini-195370.html",
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+				"description": "Info: This course is made for artists or TD (technical director) willing to learn <strong>Python</strong> to improve their workflows inside SideFX Houdini, get faster in production and develop all the tools you always wished you had.",
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+					"02 – Python Construction Part02 digging further into python concepts 03 – Houdini – Python Basics Applying some basic python in Houdini and starting to make tools ! 04 – Houdini – Python Intermediate Applying some more advanced python in Houdini to make tools ! 05 – Houdini – Python Expert Using QtDesigner in combinaison with Houdini Python/Pyside to create advanced tools."
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+					"Some systems come with Python, so to start off, we’ll first check to see if it’s installed on your system before we proceed. To do that, we’ll need to open a terminal. Since you might be new to programming, let’s go over how to open a terminal for Linux, Windows, and macOS.",
+					"Before we dive into setting up your system so you can program in Python, let’s talk terminal basics and benefits.",
+					"However, let’s focus on why we need it for working with Python. We use a terminal, or command line, to:"
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backend/open_webui/apps/rag/search/testdata/serper.json

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+}

backend/open_webui/apps/rag/search/testdata/serply.json

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+			],
+			"cite": {
+				"domain": "https://www.bloomberg.com › company › AAPL:US",
+				"span": " › company › AAPL:US"
+			},
+			"realPosition": 5
+		},
+		{
+			"title": "Apple Inc. | History, Products, Headquarters, & Facts",
+			"link": "https://www.britannica.com/money/Apple-Inc",
+			"description": "May 22, 2024 — Apple Inc. is an American multinational technology company that revolutionized the technology sector through its innovation of computer ...",
+			"additional_links": [
+				{
+					"text": "Apple Inc. | History, Products, Headquarters, & FactsBritannicahttps://www.britannica.com › money › Apple-Inc",
+					"href": "https://www.britannica.com/money/Apple-Inc"
+				},
+				{
+					"text": "",
+					"href": "https://www.britannica.com/money/Apple-Inc"
+				}
+			],
+			"cite": {
+				"domain": "https://www.britannica.com › money › Apple-Inc",
+				"span": " › money › Apple-Inc"
+			},
+			"realPosition": 6
+		}
+	],
+	"shopping_ads": [],
+	"places": [
+		{
+			"title": "Apple Inc."
+		},
+		{
+			"title": "Apple Inc"
+		},
+		{
+			"title": "Apple Inc"
+		}
+	],
+	"related_searches": {
+		"images": [],
+		"text": [
+			{
+				"title": "apple inc full form",
+				"link": "https://www.google.com/search?sca_esv=6b6df170a5c9891b&sca_upv=1&q=Apple+Inc+full+form&sa=X&ved=2ahUKEwjLxuSJwM-GAxUHODQIHYuJBhgQ1QJ6BAhPEAE"
+			},
+			{
+				"title": "apple company history",
+				"link": "https://www.google.com/search?sca_esv=6b6df170a5c9891b&sca_upv=1&q=Apple+company+history&sa=X&ved=2ahUKEwjLxuSJwM-GAxUHODQIHYuJBhgQ1QJ6BAhOEAE"
+			},
+			{
+				"title": "apple store",
+				"link": "https://www.google.com/search?sca_esv=6b6df170a5c9891b&sca_upv=1&q=Apple+Store&sa=X&ved=2ahUKEwjLxuSJwM-GAxUHODQIHYuJBhgQ1QJ6BAhQEAE"
+			},
+			{
+				"title": "apple id",
+				"link": "https://www.google.com/search?sca_esv=6b6df170a5c9891b&sca_upv=1&q=Apple+id&sa=X&ved=2ahUKEwjLxuSJwM-GAxUHODQIHYuJBhgQ1QJ6BAhSEAE"
+			},
+			{
+				"title": "apple inc industry",
+				"link": "https://www.google.com/search?sca_esv=6b6df170a5c9891b&sca_upv=1&q=Apple+Inc+industry&sa=X&ved=2ahUKEwjLxuSJwM-GAxUHODQIHYuJBhgQ1QJ6BAhREAE"
+			},
+			{
+				"title": "apple login",
+				"link": "https://www.google.com/search?sca_esv=6b6df170a5c9891b&sca_upv=1&q=Apple+login&sa=X&ved=2ahUKEwjLxuSJwM-GAxUHODQIHYuJBhgQ1QJ6BAhTEAE"
+			}
+		]
+	},
+	"image_results": [],
+	"carousel": [],
+	"total": 2450000000,
+	"knowledge_graph": "",
+	"related_questions": [
+		"What does the Apple Inc do?",
+		"Why did Apple change to Apple Inc?",
+		"Who owns Apple Inc.?",
+		"What is Apple Inc best known for?"
+	],
+	"carousel_count": 0,
+	"ts": 2.491065263748169,
+	"device_type": null
+}

backend/open_webui/apps/rag/search/testdata/serpstack.json

@@ -0,0 +1,276 @@
+{
+	"request": {
+		"success": true,
+		"total_time_taken": 3.4,
+		"processed_timestamp": 1714968442,
+		"search_url": "http://www.google.com/search?q=mcdonalds\u0026gl=us\u0026hl=en\u0026safe=0\u0026num=10"
+	},
+	"search_parameters": {
+		"engine": "google",
+		"type": "web",
+		"device": "desktop",
+		"auto_location": "1",
+		"google_domain": "google.com",
+		"gl": "us",
+		"hl": "en",
+		"safe": "0",
+		"news_type": "all",
+		"exclude_autocorrected_results": "0",
+		"images_color": "any",
+		"page": "1",
+		"num": "10",
+		"output": "json",
+		"csv_fields": "search_parameters.query,organic_results.position,organic_results.title,organic_results.url,organic_results.domain",
+		"query": "mcdonalds",
+		"action": "search",
+		"access_key": "aac48e007e15c532bb94ffb34532a4b2",
+		"error": {}
+	},
+	"search_information": {
+		"total_results": 1170000000,
+		"time_taken_displayed": 0.49,
+		"detected_location": {},
+		"did_you_mean": {},
+		"no_results_for_original_query": false,
+		"showing_results_for": {}
+	},
+	"organic_results": [
+		{
+			"position": 1,
+			"title": "Our Full McDonald\u0027s Food Menu",
+			"snippet": "",
+			"prerender": false,
+			"cached_page_url": {},
+			"related_pages_url": {},
+			"url": "https://www.mcdonalds.com/us/en-us/full-menu.html",
+			"domain": "www.mcdonalds.com",
+			"displayed_url": "https://www.mcdonalds.com \u203a en-us \u203a full-menu"
+		},
+		{
+			"position": 2,
+			"title": "McDonald\u0027s",
+			"snippet": "McDonald\u0027s is the world\u0027s largest fast food restaurant chain, serving over 69 million customers daily in over 100 countries in more than 40,000 outlets as of\u00a0...",
+			"prerender": false,
+			"cached_page_url": {},
+			"related_pages_url": {},
+			"url": "https://en.wikipedia.org/wiki/McDonald%27s",
+			"domain": "en.wikipedia.org",
+			"displayed_url": "https://en.wikipedia.org \u203a wiki \u203a McDonald\u0027s"
+		},
+		{
+			"position": 3,
+			"title": "Restaurants Near Me: Nearby McDonald\u0027s Locations",
+			"snippet": "",
+			"prerender": false,
+			"cached_page_url": {},
+			"related_pages_url": {},
+			"url": "https://www.mcdonalds.com/us/en-us/restaurant-locator.html",
+			"domain": "www.mcdonalds.com",
+			"displayed_url": "https://www.mcdonalds.com \u203a en-us \u203a restaurant-locator"
+		},
+		{
+			"position": 4,
+			"title": "Download the McDonald\u0027s App: Deals, Promotions \u0026 ...",
+			"snippet": "Download the McDonald\u0027s app for Mobile Order \u0026 Pay, exclusive deals and coupons, menu information and special promotions.",
+			"prerender": false,
+			"cached_page_url": {},
+			"related_pages_url": {},
+			"url": "https://www.mcdonalds.com/us/en-us/download-app.html",
+			"domain": "www.mcdonalds.com",
+			"displayed_url": "https://www.mcdonalds.com \u203a en-us \u203a download-app"
+		},
+		{
+			"position": 5,
+			"title": "McDonald\u0027s Restaurant Careers in the US",
+			"snippet": "McDonald\u0027s restaurant jobs are one-of-a-kind \u2013 just like you. Restaurants are hiring across all levels, from Crew team to Management. Apply today!",
+			"prerender": false,
+			"cached_page_url": {},
+			"related_pages_url": {},
+			"url": "https://jobs.mchire.com/",
+			"domain": "jobs.mchire.com",
+			"displayed_url": "https://jobs.mchire.com"
+		}
+	],
+	"inline_images": [
+		{
+			"image_url": "https://serpstack-assets.apilayer.net/2418910010831954152.png",
+			"title": ""
+		}
+	],
+	"local_results": [
+		{
+			"position": 1,
+			"title": "McDonald\u0027s",
+			"coordinates": {
+				"latitude": 0,
+				"longitude": 0
+			},
+			"address": "",
+			"rating": 0,
+			"reviews": 0,
+			"type": "",
+			"price": {},
+			"url": 0
+		},
+		{
+			"position": 2,
+			"title": "McDonald\u0027s",
+			"coordinates": {
+				"latitude": 0,
+				"longitude": 0
+			},
+			"address": "",
+			"rating": 0,
+			"reviews": 0,
+			"type": "",
+			"price": {},
+			"url": 0
+		},
+		{
+			"position": 3,
+			"title": "McDonald\u0027s",
+			"coordinates": {
+				"latitude": 0,
+				"longitude": 0
+			},
+			"address": "",
+			"rating": 0,
+			"reviews": 0,
+			"type": "",
+			"price": {},
+			"url": 0
+		}
+	],
+	"top_stories": [
+		{
+			"block_position": 1,
+			"title": "Menu nutrition",
+			"url": "/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=mcdonald%27s+double+quarter+pounder+with+cheese\u0026stick=H4sIAAAAAAAAAONgFuLUz9U3ME-vLDBX4tVP1zc0TCsuNE0ytjTTUs5OttJPy89P0c9NzSuNLyjKL8tMSS2yAvNS80qKMlOLF7Hq5ian5Ocl5qSoFyuk5Jcm5aQqFJYmFpWkFikU5JfmATUolGeWZCgkZ6SmFqcCAM4ilJtxAAAA\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4Qri56BAh0EAM",
+			"source": "",
+			"uploaded": "",
+			"uploaded_utc": "2024-05-06T04:07:22.082Z"
+		},
+		{
+			"block_position": 2,
+			"title": "Profiles",
+			"url": "https://www.instagram.com/McDonalds",
+			"source": "",
+			"uploaded": "",
+			"uploaded_utc": "2024-05-06T04:07:22.082Z"
+		},
+		{
+			"block_position": 3,
+			"title": "People also search for",
+			"url": "/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026si=ACC90nzx_D3_zUKRnpAjmO0UBLNxnt7EyN4YYdru6U3bxLI-L5Wg8IL2sxPFxxcDEhVbocy-LJPZIvZySijw0ho2hfZ-KtV-sSEEJ9lw7JuEkXHDnRK5y4Dm8aqbiLwugbLbslwjG3hO_gpDTFZK2VoUGZPy2nrmOBCy0G3PoOfoiEtct2GSZlUz0uufG-xP8emtNzQKQpvjkAm5Zmi57iVZueiD62upz7-x2N3dAbwtm6FkInAPRw1yR91zuT7F3lEaPblTW3LaRwCDC0bvaRCh9x4N9zHgY1OOQa_rzts2jf5WpXcuw4Y%3D\u0026q=Burger+King\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4Qs9oBKAB6BAhzEAI",
+			"source": "",
+			"uploaded": "",
+			"uploaded_utc": "2024-05-06T04:07:22.082Z"
+		}
+	],
+	"related_questions": [
+		{
+			"question": "What\u0027s a number 7 at McDonald\u0027s?What\u0027s a number 7 at McDonald\u0027s?What\u0027s a number 7 at McDonald\u0027s?",
+			"answer": "",
+			"title": "",
+			"displayed_url": ""
+		},
+		{
+			"question": "Why is McDonald\u0027s changing their name?Why is McDonald\u0027s changing their name?Why is McDonald\u0027s changing their name?",
+			"answer": "",
+			"title": "",
+			"displayed_url": ""
+		},
+		{
+			"question": "What is the oldest still running Mcdonalds?What is the oldest still running Mcdonalds?What is the oldest still running Mcdonalds?",
+			"answer": "",
+			"title": "",
+			"displayed_url": ""
+		},
+		{
+			"question": "Why is McDonald\u0027s now WcDonald\u0027s?Why is McDonald\u0027s now WcDonald\u0027s?Why is McDonald\u0027s now WcDonald\u0027s?",
+			"answer": "",
+			"title": "",
+			"displayed_url": ""
+		}
+	],
+	"knowledge_graph": {
+		"title": "",
+		"type": "Fast-food restaurant company",
+		"image_urls": ["https://serpstack-assets.apilayer.net/2418910010831954152.png"],
+		"description": "McDonald\u0027s Corporation is an American multinational fast food chain, founded in 1940 as a restaurant operated by Richard and Maurice McDonald, in San Bernardino, California, United States.",
+		"source": {
+			"name": "Wikipedia",
+			"url": "https://en.wikipedia.org/wiki/McDonald\u0027s"
+		},
+		"people_also_search_for": [],
+		"known_attributes": [
+			{
+				"attribute": "kc:/business/business_operation:founder",
+				"link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Ray+Kroc\u0026si=ACC90nzx_D3_zUKRnpAjmO0UBLNxnt7EyN4YYdru6U3bxLI-LxARWRdbk5SkoY2sDn5Qq7yOmqYGei6qZ7sfJhsjZXBPgjMlLbS7824rpJOm69GzqVWMdoNIZiFX2T4A2td14sZOn4a1BexZLtZXHU7NZdF6VsWbGMVuiSYtXdev7uaUjEJKumiwlqTAATTebOriYTEBuSzC\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECHgQAg",
+				"name": "Founder: ",
+				"value": "Ray Kroc"
+			},
+			{
+				"attribute": "kc:/organization/organization:ceo",
+				"link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Chris+Kempczinski\u0026si=ACC90nwLLwns5sISZcdzuISy7t-NHozt8Cbt6G3WNQfC9ekAgKFbjdEFCDgxLbt57EDZGosYDGiZuq1AcBhA6IhTOSZxfVSySuGQ3VDwmmTA7Z93n3K3596jAuZH9VVv5h8PyvKJSuGuSsQWviJTl3eKj2UL1ZIWuDgkjyVMnC47rN7j0G9PlHRCCLdQF7VDQ1gubTiC4onXqLRBTbwAj6a--PD6Jv_NoA%3D%3D\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECHUQAg",
+				"name": "CEO: ",
+				"value": "Chris Kempczinski (Nov 1, 2019\u2013)"
+			},
+			{
+				"attribute": "kc:/business/employer:revenue",
+				"link": "",
+				"name": "Revenue: ",
+				"value": "25.49\u00a0billion USD (2023)"
+			},
+			{
+				"attribute": "kc:/organization/organization:founded",
+				"link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Des+Plaines\u0026si=ACC90nyvvWro6QmnyY1IfSdgk5wwjB1r8BGd_IWRjXqmKPQqm_yqLtI_DBi5PXGOtg_Z3qrzzEP6mcih1nN7h5A7v6OefnEJiC7a8dBR-v9LxlRubfyR6vlMr3fZ3TmVKWwz9FRpvZb1eYNt-RM7KIDKQlwGEIgINvzhxjUrv6uxSmceduzxd8W7Pkz71XGwxF0F8OlSzHlx\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECG4QAg",
+				"name": "Founded: ",
+				"value": "April 15, 1955, Des Plaines, IL"
+			},
+			{
+				"attribute": "kc:/organization/organization:headquarters",
+				"link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Chicago\u0026si=ACC90nyvvWro6QmnyY1IfSdgk5wwjB1r8BGd_IWRjXqmKPQqm-46AEJ_kJbUIEvsvEEZqteiYJvXVXs2ScRNDvFFpjfeAaW3dxtpTGCgcsf5RMdi6IdzOdtjJMN3ZaFwqZOmdi7tC6r0Mh1O9bnP3HrVDB9hH02m7aA6f70dCAfTdpOFnGxDU6wVMAI5MxWBE3wTugtUDOK-\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECHYQAg",
+				"name": "Headquarters: ",
+				"value": "Chicago, IL"
+			},
+			{
+				"attribute": "kc:/organization/organization:president",
+				"link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Chris+Kempczinski\u0026si=ACC90nwLLwns5sISZcdzuISy7t-NHozt8Cbt6G3WNQfC9ekAgKFbjdEFCDgxLbt57EDZGosYDGiZuq1AcBhA6IhTOSZxfVSySuGQ3VDwmmTA7Z93n3K3596jAuZH9VVv5h8PyvKJSuGuSsQWviJTl3eKj2UL1ZIWuDgkjyVMnC47rN7j0G9PlHRCCLdQF7VDQ1gubTiC4onXqLRBTbwAj6a--PD6Jv_NoA%3D%3D\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECHEQAg",
+				"name": "President: ",
+				"value": "Chris Kempczinski"
+			}
+		],
+		"website": "https://www.mcdonalds.com/us/en-us.html",
+		"profiles": [
+			{
+				"name": "Instagram",
+				"url": "https://www.instagram.com/McDonalds"
+			},
+			{
+				"name": "X (Twitter)",
+				"url": "https://twitter.com/McDonalds"
+			},
+			{
+				"name": "Facebook",
+				"url": "https://www.facebook.com/McDonaldsUS"
+			},
+			{
+				"name": "YouTube",
+				"url": "https://www.youtube.com/user/McDonaldsUS"
+			},
+			{
+				"name": "Pinterest",
+				"url": "https://www.pinterest.com/mcdonalds"
+			}
+		],
+		"founded": "April 15, 1955, Des Plaines, IL",
+		"headquarters": "Chicago, IL",
+		"founders": [
+			{
+				"name": "Ray Kroc",
+				"link": "http://www.google.com/search?safe=0\u0026sca_esv=c9c7fd42856085e2\u0026sca_upv=1\u0026gl=us\u0026hl=en\u0026q=Ray+Kroc\u0026si=ACC90nzx_D3_zUKRnpAjmO0UBLNxnt7EyN4YYdru6U3bxLI-LxARWRdbk5SkoY2sDn5Qq7yOmqYGei6qZ7sfJhsjZXBPgjMlLbS7824rpJOm69GzqVWMdoNIZiFX2T4A2td14sZOn4a1BexZLtZXHU7NZdF6VsWbGMVuiSYtXdev7uaUjEJKumiwlqTAATTebOriYTEBuSzC\u0026sa=X\u0026ved=2ahUKEwjF55alk_iFAxXlamwGHbqgAs4QmxMoAHoECHgQAg"
+			}
+		]
+	}
+}

backend/open_webui/apps/rag/utils.py

@@ -0,0 +1,488 @@
+import logging
+import os
+from typing import Optional, Union
+
+import requests
+from open_webui.apps.ollama.main import (
+    GenerateEmbeddingsForm,
+    generate_ollama_embeddings,
+)
+from open_webui.config import CHROMA_CLIENT
+from open_webui.env import SRC_LOG_LEVELS
+from huggingface_hub import snapshot_download
+from langchain.retrievers import ContextualCompressionRetriever, EnsembleRetriever
+from langchain_community.retrievers import BM25Retriever
+from langchain_core.documents import Document
+from open_webui.utils.misc import get_last_user_message
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def query_doc(
+    collection_name: str,
+    query: str,
+    embedding_function,
+    k: int,
+):
+    try:
+        collection = CHROMA_CLIENT.get_collection(name=collection_name)
+        query_embeddings = embedding_function(query)
+
+        result = collection.query(
+            query_embeddings=[query_embeddings],
+            n_results=k,
+        )
+
+        log.info(f"query_doc:result {result}")
+        return result
+    except Exception as e:
+        raise e
+
+
+def query_doc_with_hybrid_search(
+    collection_name: str,
+    query: str,
+    embedding_function,
+    k: int,
+    reranking_function,
+    r: float,
+):
+    try:
+        collection = CHROMA_CLIENT.get_collection(name=collection_name)
+        documents = collection.get()  # get all documents
+
+        bm25_retriever = BM25Retriever.from_texts(
+            texts=documents.get("documents"),
+            metadatas=documents.get("metadatas"),
+        )
+        bm25_retriever.k = k
+
+        chroma_retriever = ChromaRetriever(
+            collection=collection,
+            embedding_function=embedding_function,
+            top_n=k,
+        )
+
+        ensemble_retriever = EnsembleRetriever(
+            retrievers=[bm25_retriever, chroma_retriever], weights=[0.5, 0.5]
+        )
+
+        compressor = RerankCompressor(
+            embedding_function=embedding_function,
+            top_n=k,
+            reranking_function=reranking_function,
+            r_score=r,
+        )
+
+        compression_retriever = ContextualCompressionRetriever(
+            base_compressor=compressor, base_retriever=ensemble_retriever
+        )
+
+        result = compression_retriever.invoke(query)
+        result = {
+            "distances": [[d.metadata.get("score") for d in result]],
+            "documents": [[d.page_content for d in result]],
+            "metadatas": [[d.metadata for d in result]],
+        }
+
+        log.info(f"query_doc_with_hybrid_search:result {result}")
+        return result
+    except Exception as e:
+        raise e
+
+
+def merge_and_sort_query_results(query_results, k, reverse=False):
+    # Initialize lists to store combined data
+    combined_distances = []
+    combined_documents = []
+    combined_metadatas = []
+
+    for data in query_results:
+        combined_distances.extend(data["distances"][0])
+        combined_documents.extend(data["documents"][0])
+        combined_metadatas.extend(data["metadatas"][0])
+
+    # Create a list of tuples (distance, document, metadata)
+    combined = list(zip(combined_distances, combined_documents, combined_metadatas))
+
+    # Sort the list based on distances
+    combined.sort(key=lambda x: x[0], reverse=reverse)
+
+    # We don't have anything :-(
+    if not combined:
+        sorted_distances = []
+        sorted_documents = []
+        sorted_metadatas = []
+    else:
+        # Unzip the sorted list
+        sorted_distances, sorted_documents, sorted_metadatas = zip(*combined)
+
+        # Slicing the lists to include only k elements
+        sorted_distances = list(sorted_distances)[:k]
+        sorted_documents = list(sorted_documents)[:k]
+        sorted_metadatas = list(sorted_metadatas)[:k]
+
+    # Create the output dictionary
+    result = {
+        "distances": [sorted_distances],
+        "documents": [sorted_documents],
+        "metadatas": [sorted_metadatas],
+    }
+
+    return result
+
+
+def query_collection(
+    collection_names: list[str],
+    query: str,
+    embedding_function,
+    k: int,
+):
+    results = []
+    for collection_name in collection_names:
+        if collection_name:
+            try:
+                result = query_doc(
+                    collection_name=collection_name,
+                    query=query,
+                    k=k,
+                    embedding_function=embedding_function,
+                )
+                results.append(result)
+            except Exception:
+                pass
+        else:
+            pass
+
+    return merge_and_sort_query_results(results, k=k)
+
+
+def query_collection_with_hybrid_search(
+    collection_names: list[str],
+    query: str,
+    embedding_function,
+    k: int,
+    reranking_function,
+    r: float,
+):
+    results = []
+    for collection_name in collection_names:
+        try:
+            result = query_doc_with_hybrid_search(
+                collection_name=collection_name,
+                query=query,
+                embedding_function=embedding_function,
+                k=k,
+                reranking_function=reranking_function,
+                r=r,
+            )
+            results.append(result)
+        except Exception:
+            pass
+    return merge_and_sort_query_results(results, k=k, reverse=True)
+
+
+def rag_template(template: str, context: str, query: str):
+    template = template.replace("[context]", context)
+    template = template.replace("[query]", query)
+    return template
+
+
+def get_embedding_function(
+    embedding_engine,
+    embedding_model,
+    embedding_function,
+    openai_key,
+    openai_url,
+    batch_size,
+):
+    if embedding_engine == "":
+        return lambda query: embedding_function.encode(query).tolist()
+    elif embedding_engine in ["ollama", "openai"]:
+        if embedding_engine == "ollama":
+            func = lambda query: generate_ollama_embeddings(
+                GenerateEmbeddingsForm(
+                    **{
+                        "model": embedding_model,
+                        "prompt": query,
+                    }
+                )
+            )
+        elif embedding_engine == "openai":
+            func = lambda query: generate_openai_embeddings(
+                model=embedding_model,
+                text=query,
+                key=openai_key,
+                url=openai_url,
+            )
+
+        def generate_multiple(query, f):
+            if isinstance(query, list):
+                if embedding_engine == "openai":
+                    embeddings = []
+                    for i in range(0, len(query), batch_size):
+                        embeddings.extend(f(query[i : i + batch_size]))
+                    return embeddings
+                else:
+                    return [f(q) for q in query]
+            else:
+                return f(query)
+
+        return lambda query: generate_multiple(query, func)
+
+
+def get_rag_context(
+    files,
+    messages,
+    embedding_function,
+    k,
+    reranking_function,
+    r,
+    hybrid_search,
+):
+    log.debug(f"files: {files} {messages} {embedding_function} {reranking_function}")
+    query = get_last_user_message(messages)
+
+    extracted_collections = []
+    relevant_contexts = []
+
+    for file in files:
+        context = None
+
+        collection_names = (
+            file["collection_names"]
+            if file["type"] == "collection"
+            else [file["collection_name"]] if file["collection_name"] else []
+        )
+
+        collection_names = set(collection_names).difference(extracted_collections)
+        if not collection_names:
+            log.debug(f"skipping {file} as it has already been extracted")
+            continue
+
+        try:
+            if file["type"] == "text":
+                context = file["content"]
+            else:
+                if hybrid_search:
+                    context = query_collection_with_hybrid_search(
+                        collection_names=collection_names,
+                        query=query,
+                        embedding_function=embedding_function,
+                        k=k,
+                        reranking_function=reranking_function,
+                        r=r,
+                    )
+                else:
+                    context = query_collection(
+                        collection_names=collection_names,
+                        query=query,
+                        embedding_function=embedding_function,
+                        k=k,
+                    )
+        except Exception as e:
+            log.exception(e)
+            context = None
+
+        if context:
+            relevant_contexts.append({**context, "source": file})
+
+        extracted_collections.extend(collection_names)
+
+    contexts = []
+    citations = []
+
+    for context in relevant_contexts:
+        try:
+            if "documents" in context:
+                contexts.append(
+                    "\n\n".join(
+                        [text for text in context["documents"][0] if text is not None]
+                    )
+                )
+
+                if "metadatas" in context:
+                    citations.append(
+                        {
+                            "source": context["source"],
+                            "document": context["documents"][0],
+                            "metadata": context["metadatas"][0],
+                        }
+                    )
+        except Exception as e:
+            log.exception(e)
+
+    return contexts, citations
+
+
+def get_model_path(model: str, update_model: bool = False):
+    # Construct huggingface_hub kwargs with local_files_only to return the snapshot path
+    cache_dir = os.getenv("SENTENCE_TRANSFORMERS_HOME")
+
+    local_files_only = not update_model
+
+    snapshot_kwargs = {
+        "cache_dir": cache_dir,
+        "local_files_only": local_files_only,
+    }
+
+    log.debug(f"model: {model}")
+    log.debug(f"snapshot_kwargs: {snapshot_kwargs}")
+
+    # Inspiration from upstream sentence_transformers
+    if (
+        os.path.exists(model)
+        or ("\\" in model or model.count("/") > 1)
+        and local_files_only
+    ):
+        # If fully qualified path exists, return input, else set repo_id
+        return model
+    elif "/" not in model:
+        # Set valid repo_id for model short-name
+        model = "sentence-transformers" + "/" + model
+
+    snapshot_kwargs["repo_id"] = model
+
+    # Attempt to query the huggingface_hub library to determine the local path and/or to update
+    try:
+        model_repo_path = snapshot_download(**snapshot_kwargs)
+        log.debug(f"model_repo_path: {model_repo_path}")
+        return model_repo_path
+    except Exception as e:
+        log.exception(f"Cannot determine model snapshot path: {e}")
+        return model
+
+
+def generate_openai_embeddings(
+    model: str,
+    text: Union[str, list[str]],
+    key: str,
+    url: str = "https://api.openai.com/v1",
+):
+    if isinstance(text, list):
+        embeddings = generate_openai_batch_embeddings(model, text, key, url)
+    else:
+        embeddings = generate_openai_batch_embeddings(model, [text], key, url)
+
+    return embeddings[0] if isinstance(text, str) else embeddings
+
+
+def generate_openai_batch_embeddings(
+    model: str, texts: list[str], key: str, url: str = "https://api.openai.com/v1"
+) -> Optional[list[list[float]]]:
+    try:
+        r = requests.post(
+            f"{url}/embeddings",
+            headers={
+                "Content-Type": "application/json",
+                "Authorization": f"Bearer {key}",
+            },
+            json={"input": texts, "model": model},
+        )
+        r.raise_for_status()
+        data = r.json()
+        if "data" in data:
+            return [elem["embedding"] for elem in data["data"]]
+        else:
+            raise "Something went wrong :/"
+    except Exception as e:
+        print(e)
+        return None
+
+
+from typing import Any
+
+from langchain_core.callbacks import CallbackManagerForRetrieverRun
+from langchain_core.retrievers import BaseRetriever
+
+
+class ChromaRetriever(BaseRetriever):
+    collection: Any
+    embedding_function: Any
+    top_n: int
+
+    def _get_relevant_documents(
+        self,
+        query: str,
+        *,
+        run_manager: CallbackManagerForRetrieverRun,
+    ) -> list[Document]:
+        query_embeddings = self.embedding_function(query)
+
+        results = self.collection.query(
+            query_embeddings=[query_embeddings],
+            n_results=self.top_n,
+        )
+
+        ids = results["ids"][0]
+        metadatas = results["metadatas"][0]
+        documents = results["documents"][0]
+
+        results = []
+        for idx in range(len(ids)):
+            results.append(
+                Document(
+                    metadata=metadatas[idx],
+                    page_content=documents[idx],
+                )
+            )
+        return results
+
+
+import operator
+from typing import Optional, Sequence
+
+from langchain_core.callbacks import Callbacks
+from langchain_core.documents import BaseDocumentCompressor, Document
+from langchain_core.pydantic_v1 import Extra
+
+
+class RerankCompressor(BaseDocumentCompressor):
+    embedding_function: Any
+    top_n: int
+    reranking_function: Any
+    r_score: float
+
+    class Config:
+        extra = Extra.forbid
+        arbitrary_types_allowed = True
+
+    def compress_documents(
+        self,
+        documents: Sequence[Document],
+        query: str,
+        callbacks: Optional[Callbacks] = None,
+    ) -> Sequence[Document]:
+        reranking = self.reranking_function is not None
+
+        if reranking:
+            scores = self.reranking_function.predict(
+                [(query, doc.page_content) for doc in documents]
+            )
+        else:
+            from sentence_transformers import util
+
+            query_embedding = self.embedding_function(query)
+            document_embedding = self.embedding_function(
+                [doc.page_content for doc in documents]
+            )
+            scores = util.cos_sim(query_embedding, document_embedding)[0]
+
+        docs_with_scores = list(zip(documents, scores.tolist()))
+        if self.r_score:
+            docs_with_scores = [
+                (d, s) for d, s in docs_with_scores if s >= self.r_score
+            ]
+
+        result = sorted(docs_with_scores, key=operator.itemgetter(1), reverse=True)
+        final_results = []
+        for doc, doc_score in result[: self.top_n]:
+            metadata = doc.metadata
+            metadata["score"] = doc_score
+            doc = Document(
+                page_content=doc.page_content,
+                metadata=metadata,
+            )
+            final_results.append(doc)
+        return final_results

backend/open_webui/apps/socket/main.py

@@ -0,0 +1,170 @@
+import asyncio
+
+import socketio
+from open_webui.apps.webui.models.users import Users
+from open_webui.utils.utils import decode_token
+
+sio = socketio.AsyncServer(cors_allowed_origins=[], async_mode="asgi")
+app = socketio.ASGIApp(sio, socketio_path="/ws/socket.io")
+
+# Dictionary to maintain the user pool
+
+SESSION_POOL = {}
+USER_POOL = {}
+USAGE_POOL = {}
+# Timeout duration in seconds
+TIMEOUT_DURATION = 3
+
+
+@sio.event
+async def connect(sid, environ, auth):
+    user = None
+    if auth and "token" in auth:
+        data = decode_token(auth["token"])
+
+        if data is not None and "id" in data:
+            user = Users.get_user_by_id(data["id"])
+
+        if user:
+            SESSION_POOL[sid] = user.id
+            if user.id in USER_POOL:
+                USER_POOL[user.id].append(sid)
+            else:
+                USER_POOL[user.id] = [sid]
+
+            print(f"user {user.name}({user.id}) connected with session ID {sid}")
+
+            await sio.emit("user-count", {"count": len(set(USER_POOL))})
+            await sio.emit("usage", {"models": get_models_in_use()})
+
+
+@sio.on("user-join")
+async def user_join(sid, data):
+    print("user-join", sid, data)
+
+    auth = data["auth"] if "auth" in data else None
+    if not auth or "token" not in auth:
+        return
+
+    data = decode_token(auth["token"])
+    if data is None or "id" not in data:
+        return
+
+    user = Users.get_user_by_id(data["id"])
+    if not user:
+        return
+
+    SESSION_POOL[sid] = user.id
+    if user.id in USER_POOL:
+        USER_POOL[user.id].append(sid)
+    else:
+        USER_POOL[user.id] = [sid]
+
+    print(f"user {user.name}({user.id}) connected with session ID {sid}")
+
+    await sio.emit("user-count", {"count": len(set(USER_POOL))})
+
+
+@sio.on("user-count")
+async def user_count(sid):
+    await sio.emit("user-count", {"count": len(set(USER_POOL))})
+
+
+def get_models_in_use():
+    # Aggregate all models in use
+    models_in_use = []
+    for model_id, data in USAGE_POOL.items():
+        models_in_use.append(model_id)
+
+    return models_in_use
+
+
+@sio.on("usage")
+async def usage(sid, data):
+    model_id = data["model"]
+
+    # Cancel previous callback if there is one
+    if model_id in USAGE_POOL:
+        USAGE_POOL[model_id]["callback"].cancel()
+
+    # Store the new usage data and task
+
+    if model_id in USAGE_POOL:
+        USAGE_POOL[model_id]["sids"].append(sid)
+        USAGE_POOL[model_id]["sids"] = list(set(USAGE_POOL[model_id]["sids"]))
+
+    else:
+        USAGE_POOL[model_id] = {"sids": [sid]}
+
+    # Schedule a task to remove the usage data after TIMEOUT_DURATION
+    USAGE_POOL[model_id]["callback"] = asyncio.create_task(
+        remove_after_timeout(sid, model_id)
+    )
+
+    # Broadcast the usage data to all clients
+    await sio.emit("usage", {"models": get_models_in_use()})
+
+
+async def remove_after_timeout(sid, model_id):
+    try:
+        await asyncio.sleep(TIMEOUT_DURATION)
+        if model_id in USAGE_POOL:
+            print(USAGE_POOL[model_id]["sids"])
+            USAGE_POOL[model_id]["sids"].remove(sid)
+            USAGE_POOL[model_id]["sids"] = list(set(USAGE_POOL[model_id]["sids"]))
+
+            if len(USAGE_POOL[model_id]["sids"]) == 0:
+                del USAGE_POOL[model_id]
+
+            # Broadcast the usage data to all clients
+            await sio.emit("usage", {"models": get_models_in_use()})
+    except asyncio.CancelledError:
+        # Task was cancelled due to new 'usage' event
+        pass
+
+
+@sio.event
+async def disconnect(sid):
+    if sid in SESSION_POOL:
+        user_id = SESSION_POOL[sid]
+        del SESSION_POOL[sid]
+
+        USER_POOL[user_id].remove(sid)
+
+        if len(USER_POOL[user_id]) == 0:
+            del USER_POOL[user_id]
+
+        await sio.emit("user-count", {"count": len(USER_POOL)})
+    else:
+        print(f"Unknown session ID {sid} disconnected")
+
+
+def get_event_emitter(request_info):
+    async def __event_emitter__(event_data):
+        await sio.emit(
+            "chat-events",
+            {
+                "chat_id": request_info["chat_id"],
+                "message_id": request_info["message_id"],
+                "data": event_data,
+            },
+            to=request_info["session_id"],
+        )
+
+    return __event_emitter__
+
+
+def get_event_call(request_info):
+    async def __event_call__(event_data):
+        response = await sio.call(
+            "chat-events",
+            {
+                "chat_id": request_info["chat_id"],
+                "message_id": request_info["message_id"],
+                "data": event_data,
+            },
+            to=request_info["session_id"],
+        )
+        return response
+
+    return __event_call__

backend/open_webui/apps/webui/internal/db.py

@@ -0,0 +1,92 @@
+import json
+import logging
+from contextlib import contextmanager
+from typing import Any, Optional
+
+from open_webui.apps.webui.internal.wrappers import register_connection
+from open_webui.env import OPEN_WEBUI_DIR, DATABASE_URL, SRC_LOG_LEVELS
+from peewee_migrate import Router
+from sqlalchemy import Dialect, create_engine, types
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import scoped_session, sessionmaker
+from sqlalchemy.sql.type_api import _T
+from typing_extensions import Self
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["DB"])
+
+
+class JSONField(types.TypeDecorator):
+    impl = types.Text
+    cache_ok = True
+
+    def process_bind_param(self, value: Optional[_T], dialect: Dialect) -> Any:
+        return json.dumps(value)
+
+    def process_result_value(self, value: Optional[_T], dialect: Dialect) -> Any:
+        if value is not None:
+            return json.loads(value)
+
+    def copy(self, **kw: Any) -> Self:
+        return JSONField(self.impl.length)
+
+    def db_value(self, value):
+        return json.dumps(value)
+
+    def python_value(self, value):
+        if value is not None:
+            return json.loads(value)
+
+
+# Workaround to handle the peewee migration
+# This is required to ensure the peewee migration is handled before the alembic migration
+def handle_peewee_migration(DATABASE_URL):
+    # db = None
+    try:
+        # Replace the postgresql:// with postgres:// to handle the peewee migration
+        db = register_connection(DATABASE_URL.replace("postgresql://", "postgres://"))
+        migrate_dir = OPEN_WEBUI_DIR / "apps" / "webui" / "internal" / "migrations"
+        router = Router(db, logger=log, migrate_dir=migrate_dir)
+        router.run()
+        db.close()
+
+    except Exception as e:
+        log.error(f"Failed to initialize the database connection: {e}")
+        raise
+    finally:
+        # Properly closing the database connection
+        if db and not db.is_closed():
+            db.close()
+
+        # Assert if db connection has been closed
+        assert db.is_closed(), "Database connection is still open."
+
+
+handle_peewee_migration(DATABASE_URL)
+
+
+SQLALCHEMY_DATABASE_URL = DATABASE_URL
+if "sqlite" in SQLALCHEMY_DATABASE_URL:
+    engine = create_engine(
+        SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}
+    )
+else:
+    engine = create_engine(SQLALCHEMY_DATABASE_URL, pool_pre_ping=True)
+
+
+SessionLocal = sessionmaker(
+    autocommit=False, autoflush=False, bind=engine, expire_on_commit=False
+)
+Base = declarative_base()
+Session = scoped_session(SessionLocal)
+
+
+def get_session():
+    db = SessionLocal()
+    try:
+        yield db
+    finally:
+        db.close()
+
+
+get_db = contextmanager(get_session)

backend/open_webui/apps/webui/internal/migrations/001_initial_schema.py

@@ -37,6 +37,18 @@ with suppress(ImportError):
 def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
     """Write your migrations here."""
 
+    # We perform different migrations for SQLite and other databases
+    # This is because SQLite is very loose with enforcing its schema, and trying to migrate other databases like SQLite
+    # will require per-database SQL queries.
+    # Instead, we assume that because external DB support was added at a later date, it is safe to assume a newer base
+    # schema instead of trying to migrate from an older schema.
+    if isinstance(database, pw.SqliteDatabase):
+        migrate_sqlite(migrator, database, fake=fake)
+    else:
+        migrate_external(migrator, database, fake=fake)
+
+
+def migrate_sqlite(migrator: Migrator, database: pw.Database, *, fake=False):
     @migrator.create_model
     class Auth(pw.Model):
         id = pw.CharField(max_length=255, unique=True)
@@ -53,7 +65,7 @@ def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
         user_id = pw.CharField(max_length=255)
         title = pw.CharField()
         chat = pw.TextField()
-        timestamp = pw.DateField()
+        timestamp = pw.BigIntegerField()
 
         class Meta:
             table_name = "chat"
@@ -64,7 +76,7 @@ def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
         tag_name = pw.CharField(max_length=255)
         chat_id = pw.CharField(max_length=255)
         user_id = pw.CharField(max_length=255)
-        timestamp = pw.DateField()
+        timestamp = pw.BigIntegerField()
 
         class Meta:
             table_name = "chatidtag"
@@ -78,7 +90,7 @@ def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
         filename = pw.CharField()
         content = pw.TextField(null=True)
         user_id = pw.CharField(max_length=255)
-        timestamp = pw.DateField()
+        timestamp = pw.BigIntegerField()
 
         class Meta:
             table_name = "document"
@@ -89,7 +101,7 @@ def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
         tag_name = pw.CharField(max_length=255, unique=True)
         user_id = pw.CharField(max_length=255)
         modelfile = pw.TextField()
-        timestamp = pw.DateField()
+        timestamp = pw.BigIntegerField()
 
         class Meta:
             table_name = "modelfile"
@@ -101,7 +113,7 @@ def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
         user_id = pw.CharField(max_length=255)
         title = pw.CharField()
         content = pw.TextField()
-        timestamp = pw.DateField()
+        timestamp = pw.BigIntegerField()
 
         class Meta:
             table_name = "prompt"
@@ -123,7 +135,100 @@ def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
         email = pw.CharField(max_length=255)
         role = pw.CharField(max_length=255)
         profile_image_url = pw.CharField(max_length=255)
-        timestamp = pw.DateField()
+        timestamp = pw.BigIntegerField()
+
+        class Meta:
+            table_name = "user"
+
+
+def migrate_external(migrator: Migrator, database: pw.Database, *, fake=False):
+    @migrator.create_model
+    class Auth(pw.Model):
+        id = pw.CharField(max_length=255, unique=True)
+        email = pw.CharField(max_length=255)
+        password = pw.TextField()
+        active = pw.BooleanField()
+
+        class Meta:
+            table_name = "auth"
+
+    @migrator.create_model
+    class Chat(pw.Model):
+        id = pw.CharField(max_length=255, unique=True)
+        user_id = pw.CharField(max_length=255)
+        title = pw.TextField()
+        chat = pw.TextField()
+        timestamp = pw.BigIntegerField()
+
+        class Meta:
+            table_name = "chat"
+
+    @migrator.create_model
+    class ChatIdTag(pw.Model):
+        id = pw.CharField(max_length=255, unique=True)
+        tag_name = pw.CharField(max_length=255)
+        chat_id = pw.CharField(max_length=255)
+        user_id = pw.CharField(max_length=255)
+        timestamp = pw.BigIntegerField()
+
+        class Meta:
+            table_name = "chatidtag"
+
+    @migrator.create_model
+    class Document(pw.Model):
+        id = pw.AutoField()
+        collection_name = pw.CharField(max_length=255, unique=True)
+        name = pw.CharField(max_length=255, unique=True)
+        title = pw.TextField()
+        filename = pw.TextField()
+        content = pw.TextField(null=True)
+        user_id = pw.CharField(max_length=255)
+        timestamp = pw.BigIntegerField()
+
+        class Meta:
+            table_name = "document"
+
+    @migrator.create_model
+    class Modelfile(pw.Model):
+        id = pw.AutoField()
+        tag_name = pw.CharField(max_length=255, unique=True)
+        user_id = pw.CharField(max_length=255)
+        modelfile = pw.TextField()
+        timestamp = pw.BigIntegerField()
+
+        class Meta:
+            table_name = "modelfile"
+
+    @migrator.create_model
+    class Prompt(pw.Model):
+        id = pw.AutoField()
+        command = pw.CharField(max_length=255, unique=True)
+        user_id = pw.CharField(max_length=255)
+        title = pw.TextField()
+        content = pw.TextField()
+        timestamp = pw.BigIntegerField()
+
+        class Meta:
+            table_name = "prompt"
+
+    @migrator.create_model
+    class Tag(pw.Model):
+        id = pw.CharField(max_length=255, unique=True)
+        name = pw.CharField(max_length=255)
+        user_id = pw.CharField(max_length=255)
+        data = pw.TextField(null=True)
+
+        class Meta:
+            table_name = "tag"
+
+    @migrator.create_model
+    class User(pw.Model):
+        id = pw.CharField(max_length=255, unique=True)
+        name = pw.CharField(max_length=255)
+        email = pw.CharField(max_length=255)
+        role = pw.CharField(max_length=255)
+        profile_image_url = pw.TextField()
+        timestamp = pw.BigIntegerField()
 
         class Meta:
             table_name = "user"

backend/open_webui/apps/webui/internal/migrations/005_add_updated_at.py

@@ -0,0 +1,130 @@
+"""Peewee migrations -- 002_add_local_sharing.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    if isinstance(database, pw.SqliteDatabase):
+        migrate_sqlite(migrator, database, fake=fake)
+    else:
+        migrate_external(migrator, database, fake=fake)
+
+
+def migrate_sqlite(migrator: Migrator, database: pw.Database, *, fake=False):
+    # Adding fields created_at and updated_at to the 'chat' table
+    migrator.add_fields(
+        "chat",
+        created_at=pw.DateTimeField(null=True),  # Allow null for transition
+        updated_at=pw.DateTimeField(null=True),  # Allow null for transition
+    )
+
+    # Populate the new fields from an existing 'timestamp' field
+    migrator.sql(
+        "UPDATE chat SET created_at = timestamp, updated_at = timestamp WHERE timestamp IS NOT NULL"
+    )
+
+    # Now that the data has been copied, remove the original 'timestamp' field
+    migrator.remove_fields("chat", "timestamp")
+
+    # Update the fields to be not null now that they are populated
+    migrator.change_fields(
+        "chat",
+        created_at=pw.DateTimeField(null=False),
+        updated_at=pw.DateTimeField(null=False),
+    )
+
+
+def migrate_external(migrator: Migrator, database: pw.Database, *, fake=False):
+    # Adding fields created_at and updated_at to the 'chat' table
+    migrator.add_fields(
+        "chat",
+        created_at=pw.BigIntegerField(null=True),  # Allow null for transition
+        updated_at=pw.BigIntegerField(null=True),  # Allow null for transition
+    )
+
+    # Populate the new fields from an existing 'timestamp' field
+    migrator.sql(
+        "UPDATE chat SET created_at = timestamp, updated_at = timestamp WHERE timestamp IS NOT NULL"
+    )
+
+    # Now that the data has been copied, remove the original 'timestamp' field
+    migrator.remove_fields("chat", "timestamp")
+
+    # Update the fields to be not null now that they are populated
+    migrator.change_fields(
+        "chat",
+        created_at=pw.BigIntegerField(null=False),
+        updated_at=pw.BigIntegerField(null=False),
+    )
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    if isinstance(database, pw.SqliteDatabase):
+        rollback_sqlite(migrator, database, fake=fake)
+    else:
+        rollback_external(migrator, database, fake=fake)
+
+
+def rollback_sqlite(migrator: Migrator, database: pw.Database, *, fake=False):
+    # Recreate the timestamp field initially allowing null values for safe transition
+    migrator.add_fields("chat", timestamp=pw.DateTimeField(null=True))
+
+    # Copy the earliest created_at date back into the new timestamp field
+    # This assumes created_at was originally a copy of timestamp
+    migrator.sql("UPDATE chat SET timestamp = created_at")
+
+    # Remove the created_at and updated_at fields
+    migrator.remove_fields("chat", "created_at", "updated_at")
+
+    # Finally, alter the timestamp field to not allow nulls if that was the original setting
+    migrator.change_fields("chat", timestamp=pw.DateTimeField(null=False))
+
+
+def rollback_external(migrator: Migrator, database: pw.Database, *, fake=False):
+    # Recreate the timestamp field initially allowing null values for safe transition
+    migrator.add_fields("chat", timestamp=pw.BigIntegerField(null=True))
+
+    # Copy the earliest created_at date back into the new timestamp field
+    # This assumes created_at was originally a copy of timestamp
+    migrator.sql("UPDATE chat SET timestamp = created_at")
+
+    # Remove the created_at and updated_at fields
+    migrator.remove_fields("chat", "created_at", "updated_at")
+
+    # Finally, alter the timestamp field to not allow nulls if that was the original setting
+    migrator.change_fields("chat", timestamp=pw.BigIntegerField(null=False))

backend/open_webui/apps/webui/internal/migrations/006_migrate_timestamps_and_charfields.py

@@ -0,0 +1,130 @@
+"""Peewee migrations -- 006_migrate_timestamps_and_charfields.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    # Alter the tables with timestamps
+    migrator.change_fields(
+        "chatidtag",
+        timestamp=pw.BigIntegerField(),
+    )
+    migrator.change_fields(
+        "document",
+        timestamp=pw.BigIntegerField(),
+    )
+    migrator.change_fields(
+        "modelfile",
+        timestamp=pw.BigIntegerField(),
+    )
+    migrator.change_fields(
+        "prompt",
+        timestamp=pw.BigIntegerField(),
+    )
+    migrator.change_fields(
+        "user",
+        timestamp=pw.BigIntegerField(),
+    )
+    # Alter the tables with varchar to text where necessary
+    migrator.change_fields(
+        "auth",
+        password=pw.TextField(),
+    )
+    migrator.change_fields(
+        "chat",
+        title=pw.TextField(),
+    )
+    migrator.change_fields(
+        "document",
+        title=pw.TextField(),
+        filename=pw.TextField(),
+    )
+    migrator.change_fields(
+        "prompt",
+        title=pw.TextField(),
+    )
+    migrator.change_fields(
+        "user",
+        profile_image_url=pw.TextField(),
+    )
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    if isinstance(database, pw.SqliteDatabase):
+        # Alter the tables with timestamps
+        migrator.change_fields(
+            "chatidtag",
+            timestamp=pw.DateField(),
+        )
+        migrator.change_fields(
+            "document",
+            timestamp=pw.DateField(),
+        )
+        migrator.change_fields(
+            "modelfile",
+            timestamp=pw.DateField(),
+        )
+        migrator.change_fields(
+            "prompt",
+            timestamp=pw.DateField(),
+        )
+        migrator.change_fields(
+            "user",
+            timestamp=pw.DateField(),
+        )
+    migrator.change_fields(
+        "auth",
+        password=pw.CharField(max_length=255),
+    )
+    migrator.change_fields(
+        "chat",
+        title=pw.CharField(),
+    )
+    migrator.change_fields(
+        "document",
+        title=pw.CharField(),
+        filename=pw.CharField(),
+    )
+    migrator.change_fields(
+        "prompt",
+        title=pw.CharField(),
+    )
+    migrator.change_fields(
+        "user",
+        profile_image_url=pw.CharField(),
+    )

backend/open_webui/apps/webui/internal/migrations/007_add_user_last_active_at.py

@@ -37,26 +37,28 @@ with suppress(ImportError):
 def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
     """Write your migrations here."""
 
-    # Adding fields created_at and updated_at to the 'chat' table
+    # Adding fields created_at and updated_at to the 'user' table
     migrator.add_fields(
-        "chat",
-        created_at=pw.DateTimeField(null=True),  # Allow null for transition
-        updated_at=pw.DateTimeField(null=True),  # Allow null for transition
+        "user",
+        created_at=pw.BigIntegerField(null=True),  # Allow null for transition
+        updated_at=pw.BigIntegerField(null=True),  # Allow null for transition
+        last_active_at=pw.BigIntegerField(null=True),  # Allow null for transition
     )
 
     # Populate the new fields from an existing 'timestamp' field
     migrator.sql(
-        "UPDATE chat SET created_at = timestamp, updated_at = timestamp WHERE timestamp IS NOT NULL"
+        'UPDATE "user" SET created_at = timestamp, updated_at = timestamp, last_active_at = timestamp WHERE timestamp IS NOT NULL'
     )
 
     # Now that the data has been copied, remove the original 'timestamp' field
-    migrator.remove_fields("chat", "timestamp")
+    migrator.remove_fields("user", "timestamp")
 
     # Update the fields to be not null now that they are populated
     migrator.change_fields(
-        "chat",
-        created_at=pw.DateTimeField(null=False),
-        updated_at=pw.DateTimeField(null=False),
+        "user",
+        created_at=pw.BigIntegerField(null=False),
+        updated_at=pw.BigIntegerField(null=False),
+        last_active_at=pw.BigIntegerField(null=False),
     )
 
 
@@ -64,14 +66,14 @@ def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
     """Write your rollback migrations here."""
 
     # Recreate the timestamp field initially allowing null values for safe transition
-    migrator.add_fields("chat", timestamp=pw.DateTimeField(null=True))
+    migrator.add_fields("user", timestamp=pw.BigIntegerField(null=True))
 
     # Copy the earliest created_at date back into the new timestamp field
     # This assumes created_at was originally a copy of timestamp
-    migrator.sql("UPDATE chat SET timestamp = created_at")
+    migrator.sql('UPDATE "user" SET timestamp = created_at')
 
     # Remove the created_at and updated_at fields
-    migrator.remove_fields("chat", "created_at", "updated_at")
+    migrator.remove_fields("user", "created_at", "updated_at", "last_active_at")
 
     # Finally, alter the timestamp field to not allow nulls if that was the original setting
-    migrator.change_fields("chat", timestamp=pw.DateTimeField(null=False))
+    migrator.change_fields("user", timestamp=pw.BigIntegerField(null=False))

backend/open_webui/apps/webui/internal/migrations/008_add_memory.py

@@ -0,0 +1,53 @@
+"""Peewee migrations -- 002_add_local_sharing.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    @migrator.create_model
+    class Memory(pw.Model):
+        id = pw.CharField(max_length=255, unique=True)
+        user_id = pw.CharField(max_length=255)
+        content = pw.TextField(null=False)
+        updated_at = pw.BigIntegerField(null=False)
+        created_at = pw.BigIntegerField(null=False)
+
+        class Meta:
+            table_name = "memory"
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_model("memory")

backend/open_webui/apps/webui/internal/migrations/009_add_models.py

@@ -0,0 +1,61 @@
+"""Peewee migrations -- 009_add_models.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    @migrator.create_model
+    class Model(pw.Model):
+        id = pw.TextField(unique=True)
+        user_id = pw.TextField()
+        base_model_id = pw.TextField(null=True)
+
+        name = pw.TextField()
+
+        meta = pw.TextField()
+        params = pw.TextField()
+
+        created_at = pw.BigIntegerField(null=False)
+        updated_at = pw.BigIntegerField(null=False)
+
+        class Meta:
+            table_name = "model"
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_model("model")

backend/open_webui/apps/webui/internal/migrations/010_migrate_modelfiles_to_models.py

@@ -0,0 +1,130 @@
+"""Peewee migrations -- 009_add_models.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+import json
+
+from open_webui.utils.misc import parse_ollama_modelfile
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    # Fetch data from 'modelfile' table and insert into 'model' table
+    migrate_modelfile_to_model(migrator, database)
+    # Drop the 'modelfile' table
+    migrator.remove_model("modelfile")
+
+
+def migrate_modelfile_to_model(migrator: Migrator, database: pw.Database):
+    ModelFile = migrator.orm["modelfile"]
+    Model = migrator.orm["model"]
+
+    modelfiles = ModelFile.select()
+
+    for modelfile in modelfiles:
+        # Extract and transform data in Python
+
+        modelfile.modelfile = json.loads(modelfile.modelfile)
+        meta = json.dumps(
+            {
+                "description": modelfile.modelfile.get("desc"),
+                "profile_image_url": modelfile.modelfile.get("imageUrl"),
+                "ollama": {"modelfile": modelfile.modelfile.get("content")},
+                "suggestion_prompts": modelfile.modelfile.get("suggestionPrompts"),
+                "categories": modelfile.modelfile.get("categories"),
+                "user": {**modelfile.modelfile.get("user", {}), "community": True},
+            }
+        )
+
+        info = parse_ollama_modelfile(modelfile.modelfile.get("content"))
+
+        # Insert the processed data into the 'model' table
+        Model.create(
+            id=f"ollama-{modelfile.tag_name}",
+            user_id=modelfile.user_id,
+            base_model_id=info.get("base_model_id"),
+            name=modelfile.modelfile.get("title"),
+            meta=meta,
+            params=json.dumps(info.get("params", {})),
+            created_at=modelfile.timestamp,
+            updated_at=modelfile.timestamp,
+        )
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    recreate_modelfile_table(migrator, database)
+    move_data_back_to_modelfile(migrator, database)
+    migrator.remove_model("model")
+
+
+def recreate_modelfile_table(migrator: Migrator, database: pw.Database):
+    query = """
+    CREATE TABLE IF NOT EXISTS modelfile (
+        user_id TEXT,
+        tag_name TEXT,
+        modelfile JSON,
+        timestamp BIGINT
+    )
+    """
+    migrator.sql(query)
+
+
+def move_data_back_to_modelfile(migrator: Migrator, database: pw.Database):
+    Model = migrator.orm["model"]
+    Modelfile = migrator.orm["modelfile"]
+
+    models = Model.select()
+
+    for model in models:
+        # Extract and transform data in Python
+        meta = json.loads(model.meta)
+
+        modelfile_data = {
+            "title": model.name,
+            "desc": meta.get("description"),
+            "imageUrl": meta.get("profile_image_url"),
+            "content": meta.get("ollama", {}).get("modelfile"),
+            "suggestionPrompts": meta.get("suggestion_prompts"),
+            "categories": meta.get("categories"),
+            "user": {k: v for k, v in meta.get("user", {}).items() if k != "community"},
+        }
+
+        # Insert the processed data back into the 'modelfile' table
+        Modelfile.create(
+            user_id=model.user_id,
+            tag_name=model.id,
+            modelfile=modelfile_data,
+            timestamp=model.created_at,
+        )

backend/open_webui/apps/webui/internal/migrations/011_add_user_settings.py

@@ -0,0 +1,48 @@
+"""Peewee migrations -- 002_add_local_sharing.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    # Adding fields settings to the 'user' table
+    migrator.add_fields("user", settings=pw.TextField(null=True))
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    # Remove the settings field
+    migrator.remove_fields("user", "settings")

backend/open_webui/apps/webui/internal/migrations/012_add_tools.py

@@ -0,0 +1,61 @@
+"""Peewee migrations -- 009_add_models.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    @migrator.create_model
+    class Tool(pw.Model):
+        id = pw.TextField(unique=True)
+        user_id = pw.TextField()
+
+        name = pw.TextField()
+        content = pw.TextField()
+        specs = pw.TextField()
+
+        meta = pw.TextField()
+
+        created_at = pw.BigIntegerField(null=False)
+        updated_at = pw.BigIntegerField(null=False)
+
+        class Meta:
+            table_name = "tool"
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_model("tool")

backend/open_webui/apps/webui/internal/migrations/013_add_user_info.py

@@ -0,0 +1,48 @@
+"""Peewee migrations -- 002_add_local_sharing.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    # Adding fields info to the 'user' table
+    migrator.add_fields("user", info=pw.TextField(null=True))
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    # Remove the settings field
+    migrator.remove_fields("user", "info")

backend/open_webui/apps/webui/internal/migrations/014_add_files.py

@@ -0,0 +1,55 @@
+"""Peewee migrations -- 009_add_models.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    @migrator.create_model
+    class File(pw.Model):
+        id = pw.TextField(unique=True)
+        user_id = pw.TextField()
+        filename = pw.TextField()
+        meta = pw.TextField()
+        created_at = pw.BigIntegerField(null=False)
+
+        class Meta:
+            table_name = "file"
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_model("file")

backend/open_webui/apps/webui/internal/migrations/015_add_functions.py

@@ -0,0 +1,61 @@
+"""Peewee migrations -- 009_add_models.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    @migrator.create_model
+    class Function(pw.Model):
+        id = pw.TextField(unique=True)
+        user_id = pw.TextField()
+
+        name = pw.TextField()
+        type = pw.TextField()
+
+        content = pw.TextField()
+        meta = pw.TextField()
+
+        created_at = pw.BigIntegerField(null=False)
+        updated_at = pw.BigIntegerField(null=False)
+
+        class Meta:
+            table_name = "function"
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_model("function")

backend/open_webui/apps/webui/internal/migrations/016_add_valves_and_is_active.py

@@ -0,0 +1,50 @@
+"""Peewee migrations -- 009_add_models.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    migrator.add_fields("tool", valves=pw.TextField(null=True))
+    migrator.add_fields("function", valves=pw.TextField(null=True))
+    migrator.add_fields("function", is_active=pw.BooleanField(default=False))
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_fields("tool", "valves")
+    migrator.remove_fields("function", "valves")
+    migrator.remove_fields("function", "is_active")

backend/open_webui/apps/webui/internal/migrations/017_add_user_oauth_sub.py

@@ -0,0 +1,45 @@
+"""Peewee migrations -- 017_add_user_oauth_sub.py.
+Some examples (model - class or model name)::
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    migrator.add_fields(
+        "user",
+        oauth_sub=pw.TextField(null=True, unique=True),
+    )
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_fields("user", "oauth_sub")

backend/open_webui/apps/webui/internal/migrations/018_add_function_is_global.py

@@ -0,0 +1,49 @@
+"""Peewee migrations -- 017_add_user_oauth_sub.py.
+
+Some examples (model - class or model name)::
+
+    > Model = migrator.orm['table_name']            # Return model in current state by name
+    > Model = migrator.ModelClass                   # Return model in current state by name
+
+    > migrator.sql(sql)                             # Run custom SQL
+    > migrator.run(func, *args, **kwargs)           # Run python function with the given args
+    > migrator.create_model(Model)                  # Create a model (could be used as decorator)
+    > migrator.remove_model(model, cascade=True)    # Remove a model
+    > migrator.add_fields(model, **fields)          # Add fields to a model
+    > migrator.change_fields(model, **fields)       # Change fields
+    > migrator.remove_fields(model, *field_names, cascade=True)
+    > migrator.rename_field(model, old_field_name, new_field_name)
+    > migrator.rename_table(model, new_table_name)
+    > migrator.add_index(model, *col_names, unique=False)
+    > migrator.add_not_null(model, *field_names)
+    > migrator.add_default(model, field_name, default)
+    > migrator.add_constraint(model, name, sql)
+    > migrator.drop_index(model, *col_names)
+    > migrator.drop_not_null(model, *field_names)
+    > migrator.drop_constraints(model, *constraints)
+
+"""
+
+from contextlib import suppress
+
+import peewee as pw
+from peewee_migrate import Migrator
+
+
+with suppress(ImportError):
+    import playhouse.postgres_ext as pw_pext
+
+
+def migrate(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your migrations here."""
+
+    migrator.add_fields(
+        "function",
+        is_global=pw.BooleanField(default=False),
+    )
+
+
+def rollback(migrator: Migrator, database: pw.Database, *, fake=False):
+    """Write your rollback migrations here."""
+
+    migrator.remove_fields("function", "is_global")

backend/open_webui/apps/webui/internal/wrappers.py

@@ -0,0 +1,66 @@
+import logging
+from contextvars import ContextVar
+
+from open_webui.env import SRC_LOG_LEVELS
+from peewee import *
+from peewee import InterfaceError as PeeWeeInterfaceError
+from peewee import PostgresqlDatabase
+from playhouse.db_url import connect, parse
+from playhouse.shortcuts import ReconnectMixin
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["DB"])
+
+db_state_default = {"closed": None, "conn": None, "ctx": None, "transactions": None}
+db_state = ContextVar("db_state", default=db_state_default.copy())
+
+
+class PeeweeConnectionState(object):
+    def __init__(self, **kwargs):
+        super().__setattr__("_state", db_state)
+        super().__init__(**kwargs)
+
+    def __setattr__(self, name, value):
+        self._state.get()[name] = value
+
+    def __getattr__(self, name):
+        value = self._state.get()[name]
+        return value
+
+
+class CustomReconnectMixin(ReconnectMixin):
+    reconnect_errors = (
+        # psycopg2
+        (OperationalError, "termin"),
+        (InterfaceError, "closed"),
+        # peewee
+        (PeeWeeInterfaceError, "closed"),
+    )
+
+
+class ReconnectingPostgresqlDatabase(CustomReconnectMixin, PostgresqlDatabase):
+    pass
+
+
+def register_connection(db_url):
+    db = connect(db_url, unquote_password=True)
+    if isinstance(db, PostgresqlDatabase):
+        # Enable autoconnect for SQLite databases, managed by Peewee
+        db.autoconnect = True
+        db.reuse_if_open = True
+        log.info("Connected to PostgreSQL database")
+
+        # Get the connection details
+        connection = parse(db_url, unquote_password=True)
+
+        # Use our custom database class that supports reconnection
+        db = ReconnectingPostgresqlDatabase(**connection)
+        db.connect(reuse_if_open=True)
+    elif isinstance(db, SqliteDatabase):
+        # Enable autoconnect for SQLite databases, managed by Peewee
+        db.autoconnect = True
+        db.reuse_if_open = True
+        log.info("Connected to SQLite database")
+    else:
+        raise ValueError("Unsupported database connection")
+    return db

backend/open_webui/apps/webui/main.py

@@ -0,0 +1,390 @@
+import inspect
+import json
+import logging
+from typing import AsyncGenerator, Generator, Iterator
+
+from open_webui.apps.socket.main import get_event_call, get_event_emitter
+from open_webui.apps.webui.models.functions import Functions
+from open_webui.apps.webui.models.models import Models
+from open_webui.apps.webui.routers import (
+    auths,
+    chats,
+    configs,
+    documents,
+    files,
+    functions,
+    memories,
+    models,
+    prompts,
+    tools,
+    users,
+    utils,
+)
+from open_webui.apps.webui.utils import load_function_module_by_id
+from open_webui.config import (
+    ADMIN_EMAIL,
+    CORS_ALLOW_ORIGIN,
+    DEFAULT_MODELS,
+    DEFAULT_PROMPT_SUGGESTIONS,
+    DEFAULT_USER_ROLE,
+    ENABLE_COMMUNITY_SHARING,
+    ENABLE_LOGIN_FORM,
+    ENABLE_MESSAGE_RATING,
+    ENABLE_SIGNUP,
+    JWT_EXPIRES_IN,
+    OAUTH_EMAIL_CLAIM,
+    OAUTH_PICTURE_CLAIM,
+    OAUTH_USERNAME_CLAIM,
+    SHOW_ADMIN_DETAILS,
+    USER_PERMISSIONS,
+    WEBHOOK_URL,
+    WEBUI_AUTH,
+    WEBUI_BANNERS,
+    AppConfig,
+)
+from open_webui.env import (
+    WEBUI_AUTH_TRUSTED_EMAIL_HEADER,
+    WEBUI_AUTH_TRUSTED_NAME_HEADER,
+)
+from fastapi import FastAPI
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import StreamingResponse
+from pydantic import BaseModel
+from open_webui.utils.misc import (
+    openai_chat_chunk_message_template,
+    openai_chat_completion_message_template,
+)
+from open_webui.utils.payload import (
+    apply_model_params_to_body_openai,
+    apply_model_system_prompt_to_body,
+)
+
+
+from open_webui.utils.tools import get_tools
+
+app = FastAPI()
+
+log = logging.getLogger(__name__)
+
+app.state.config = AppConfig()
+
+app.state.config.ENABLE_SIGNUP = ENABLE_SIGNUP
+app.state.config.ENABLE_LOGIN_FORM = ENABLE_LOGIN_FORM
+app.state.config.JWT_EXPIRES_IN = JWT_EXPIRES_IN
+app.state.AUTH_TRUSTED_EMAIL_HEADER = WEBUI_AUTH_TRUSTED_EMAIL_HEADER
+app.state.AUTH_TRUSTED_NAME_HEADER = WEBUI_AUTH_TRUSTED_NAME_HEADER
+
+
+app.state.config.SHOW_ADMIN_DETAILS = SHOW_ADMIN_DETAILS
+app.state.config.ADMIN_EMAIL = ADMIN_EMAIL
+
+
+app.state.config.DEFAULT_MODELS = DEFAULT_MODELS
+app.state.config.DEFAULT_PROMPT_SUGGESTIONS = DEFAULT_PROMPT_SUGGESTIONS
+app.state.config.DEFAULT_USER_ROLE = DEFAULT_USER_ROLE
+app.state.config.USER_PERMISSIONS = USER_PERMISSIONS
+app.state.config.WEBHOOK_URL = WEBHOOK_URL
+app.state.config.BANNERS = WEBUI_BANNERS
+
+app.state.config.ENABLE_COMMUNITY_SHARING = ENABLE_COMMUNITY_SHARING
+app.state.config.ENABLE_MESSAGE_RATING = ENABLE_MESSAGE_RATING
+
+app.state.config.OAUTH_USERNAME_CLAIM = OAUTH_USERNAME_CLAIM
+app.state.config.OAUTH_PICTURE_CLAIM = OAUTH_PICTURE_CLAIM
+app.state.config.OAUTH_EMAIL_CLAIM = OAUTH_EMAIL_CLAIM
+
+app.state.MODELS = {}
+app.state.TOOLS = {}
+app.state.FUNCTIONS = {}
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=CORS_ALLOW_ORIGIN,
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+app.include_router(configs.router, prefix="/configs", tags=["configs"])
+app.include_router(auths.router, prefix="/auths", tags=["auths"])
+app.include_router(users.router, prefix="/users", tags=["users"])
+app.include_router(chats.router, prefix="/chats", tags=["chats"])
+
+app.include_router(documents.router, prefix="/documents", tags=["documents"])
+app.include_router(models.router, prefix="/models", tags=["models"])
+app.include_router(prompts.router, prefix="/prompts", tags=["prompts"])
+
+app.include_router(memories.router, prefix="/memories", tags=["memories"])
+app.include_router(files.router, prefix="/files", tags=["files"])
+app.include_router(tools.router, prefix="/tools", tags=["tools"])
+app.include_router(functions.router, prefix="/functions", tags=["functions"])
+
+app.include_router(utils.router, prefix="/utils", tags=["utils"])
+
+
+@app.get("/")
+async def get_status():
+    return {
+        "status": True,
+        "auth": WEBUI_AUTH,
+        "default_models": app.state.config.DEFAULT_MODELS,
+        "default_prompt_suggestions": app.state.config.DEFAULT_PROMPT_SUGGESTIONS,
+    }
+
+
+def get_function_module(pipe_id: str):
+    # Check if function is already loaded
+    if pipe_id not in app.state.FUNCTIONS:
+        function_module, _, _ = load_function_module_by_id(pipe_id)
+        app.state.FUNCTIONS[pipe_id] = function_module
+    else:
+        function_module = app.state.FUNCTIONS[pipe_id]
+
+    if hasattr(function_module, "valves") and hasattr(function_module, "Valves"):
+        valves = Functions.get_function_valves_by_id(pipe_id)
+        function_module.valves = function_module.Valves(**(valves if valves else {}))
+    return function_module
+
+
+async def get_pipe_models():
+    pipes = Functions.get_functions_by_type("pipe", active_only=True)
+    pipe_models = []
+
+    for pipe in pipes:
+        function_module = get_function_module(pipe.id)
+
+        # Check if function is a manifold
+        if hasattr(function_module, "pipes"):
+            sub_pipes = []
+
+            # Check if pipes is a function or a list
+
+            try:
+                if callable(function_module.pipes):
+                    sub_pipes = function_module.pipes()
+                else:
+                    sub_pipes = function_module.pipes
+            except Exception as e:
+                log.exception(e)
+                sub_pipes = []
+
+            print(sub_pipes)
+
+            for p in sub_pipes:
+                sub_pipe_id = f'{pipe.id}.{p["id"]}'
+                sub_pipe_name = p["name"]
+
+                if hasattr(function_module, "name"):
+                    sub_pipe_name = f"{function_module.name}{sub_pipe_name}"
+
+                pipe_flag = {"type": pipe.type}
+                pipe_models.append(
+                    {
+                        "id": sub_pipe_id,
+                        "name": sub_pipe_name,
+                        "object": "model",
+                        "created": pipe.created_at,
+                        "owned_by": "openai",
+                        "pipe": pipe_flag,
+                    }
+                )
+        else:
+            pipe_flag = {"type": "pipe"}
+
+            pipe_models.append(
+                {
+                    "id": pipe.id,
+                    "name": pipe.name,
+                    "object": "model",
+                    "created": pipe.created_at,
+                    "owned_by": "openai",
+                    "pipe": pipe_flag,
+                }
+            )
+
+    return pipe_models
+
+
+async def execute_pipe(pipe, params):
+    if inspect.iscoroutinefunction(pipe):
+        return await pipe(**params)
+    else:
+        return pipe(**params)
+
+
+async def get_message_content(res: str | Generator | AsyncGenerator) -> str:
+    if isinstance(res, str):
+        return res
+    if isinstance(res, Generator):
+        return "".join(map(str, res))
+    if isinstance(res, AsyncGenerator):
+        return "".join([str(stream) async for stream in res])
+
+
+def process_line(form_data: dict, line):
+    if isinstance(line, BaseModel):
+        line = line.model_dump_json()
+        line = f"data: {line}"
+    if isinstance(line, dict):
+        line = f"data: {json.dumps(line)}"
+
+    try:
+        line = line.decode("utf-8")
+    except Exception:
+        pass
+
+    if line.startswith("data:"):
+        return f"{line}\n\n"
+    else:
+        line = openai_chat_chunk_message_template(form_data["model"], line)
+        return f"data: {json.dumps(line)}\n\n"
+
+
+def get_pipe_id(form_data: dict) -> str:
+    pipe_id = form_data["model"]
+    if "." in pipe_id:
+        pipe_id, _ = pipe_id.split(".", 1)
+    print(pipe_id)
+    return pipe_id
+
+
+def get_function_params(function_module, form_data, user, extra_params=None):
+    if extra_params is None:
+        extra_params = {}
+
+    pipe_id = get_pipe_id(form_data)
+
+    # Get the signature of the function
+    sig = inspect.signature(function_module.pipe)
+    params = {"body": form_data} | {
+        k: v for k, v in extra_params.items() if k in sig.parameters
+    }
+
+    if "__user__" in params and hasattr(function_module, "UserValves"):
+        user_valves = Functions.get_user_valves_by_id_and_user_id(pipe_id, user.id)
+        try:
+            params["__user__"]["valves"] = function_module.UserValves(**user_valves)
+        except Exception as e:
+            log.exception(e)
+            params["__user__"]["valves"] = function_module.UserValves()
+
+    return params
+
+
+async def generate_function_chat_completion(form_data, user):
+    model_id = form_data.get("model")
+    model_info = Models.get_model_by_id(model_id)
+
+    metadata = form_data.pop("metadata", {})
+
+    files = metadata.get("files", [])
+    tool_ids = metadata.get("tool_ids", [])
+    # Check if tool_ids is None
+    if tool_ids is None:
+        tool_ids = []
+
+    __event_emitter__ = None
+    __event_call__ = None
+    __task__ = None
+
+    if metadata:
+        if all(k in metadata for k in ("session_id", "chat_id", "message_id")):
+            __event_emitter__ = get_event_emitter(metadata)
+            __event_call__ = get_event_call(metadata)
+        __task__ = metadata.get("task", None)
+
+    extra_params = {
+        "__event_emitter__": __event_emitter__,
+        "__event_call__": __event_call__,
+        "__task__": __task__,
+        "__files__": files,
+        "__user__": {
+            "id": user.id,
+            "email": user.email,
+            "name": user.name,
+            "role": user.role,
+        },
+    }
+    extra_params["__tools__"] = get_tools(
+        app,
+        tool_ids,
+        user,
+        {
+            **extra_params,
+            "__model__": app.state.MODELS[form_data["model"]],
+            "__messages__": form_data["messages"],
+            "__files__": files,
+        },
+    )
+
+    if model_info:
+        if model_info.base_model_id:
+            form_data["model"] = model_info.base_model_id
+
+        params = model_info.params.model_dump()
+        form_data = apply_model_params_to_body_openai(params, form_data)
+        form_data = apply_model_system_prompt_to_body(params, form_data, user)
+
+    pipe_id = get_pipe_id(form_data)
+    function_module = get_function_module(pipe_id)
+
+    pipe = function_module.pipe
+    params = get_function_params(function_module, form_data, user, extra_params)
+
+    if form_data["stream"]:
+
+        async def stream_content():
+            try:
+                res = await execute_pipe(pipe, params)
+
+                # Directly return if the response is a StreamingResponse
+                if isinstance(res, StreamingResponse):
+                    async for data in res.body_iterator:
+                        yield data
+                    return
+                if isinstance(res, dict):
+                    yield f"data: {json.dumps(res)}\n\n"
+                    return
+
+            except Exception as e:
+                print(f"Error: {e}")
+                yield f"data: {json.dumps({'error': {'detail':str(e)}})}\n\n"
+                return
+
+            if isinstance(res, str):
+                message = openai_chat_chunk_message_template(form_data["model"], res)
+                yield f"data: {json.dumps(message)}\n\n"
+
+            if isinstance(res, Iterator):
+                for line in res:
+                    yield process_line(form_data, line)
+
+            if isinstance(res, AsyncGenerator):
+                async for line in res:
+                    yield process_line(form_data, line)
+
+            if isinstance(res, str) or isinstance(res, Generator):
+                finish_message = openai_chat_chunk_message_template(
+                    form_data["model"], ""
+                )
+                finish_message["choices"][0]["finish_reason"] = "stop"
+                yield f"data: {json.dumps(finish_message)}\n\n"
+                yield "data: [DONE]"
+
+        return StreamingResponse(stream_content(), media_type="text/event-stream")
+    else:
+        try:
+            res = await execute_pipe(pipe, params)
+
+        except Exception as e:
+            print(f"Error: {e}")
+            return {"error": {"detail": str(e)}}
+
+        if isinstance(res, StreamingResponse) or isinstance(res, dict):
+            return res
+        if isinstance(res, BaseModel):
+            return res.model_dump()
+
+        message = await get_message_content(res)
+        return openai_chat_completion_message_template(form_data["model"], message)

backend/open_webui/apps/webui/models/auths.py

@@ -0,0 +1,201 @@
+import logging
+import uuid
+from typing import Optional
+
+from open_webui.apps.webui.internal.db import Base, get_db
+from open_webui.apps.webui.models.users import UserModel, Users
+from open_webui.env import SRC_LOG_LEVELS
+from pydantic import BaseModel
+from sqlalchemy import Boolean, Column, String, Text
+from open_webui.utils.utils import verify_password
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
+####################
+# DB MODEL
+####################
+
+
+class Auth(Base):
+    __tablename__ = "auth"
+
+    id = Column(String, primary_key=True)
+    email = Column(String)
+    password = Column(Text)
+    active = Column(Boolean)
+
+
+class AuthModel(BaseModel):
+    id: str
+    email: str
+    password: str
+    active: bool = True
+
+
+####################
+# Forms
+####################
+
+
+class Token(BaseModel):
+    token: str
+    token_type: str
+
+
+class ApiKey(BaseModel):
+    api_key: Optional[str] = None
+
+
+class UserResponse(BaseModel):
+    id: str
+    email: str
+    name: str
+    role: str
+    profile_image_url: str
+
+
+class SigninResponse(Token, UserResponse):
+    pass
+
+
+class SigninForm(BaseModel):
+    email: str
+    password: str
+
+
+class ProfileImageUrlForm(BaseModel):
+    profile_image_url: str
+
+
+class UpdateProfileForm(BaseModel):
+    profile_image_url: str
+    name: str
+
+
+class UpdatePasswordForm(BaseModel):
+    password: str
+    new_password: str
+
+
+class SignupForm(BaseModel):
+    name: str
+    email: str
+    password: str
+    profile_image_url: Optional[str] = "/user.png"
+
+
+class AddUserForm(SignupForm):
+    role: Optional[str] = "pending"
+
+
+class AuthsTable:
+    def insert_new_auth(
+        self,
+        email: str,
+        password: str,
+        name: str,
+        profile_image_url: str = "/user.png",
+        role: str = "pending",
+        oauth_sub: Optional[str] = None,
+    ) -> Optional[UserModel]:
+        with get_db() as db:
+            log.info("insert_new_auth")
+
+            id = str(uuid.uuid4())
+
+            auth = AuthModel(
+                **{"id": id, "email": email, "password": password, "active": True}
+            )
+            result = Auth(**auth.model_dump())
+            db.add(result)
+
+            user = Users.insert_new_user(
+                id, name, email, profile_image_url, role, oauth_sub
+            )
+
+            db.commit()
+            db.refresh(result)
+
+            if result and user:
+                return user
+            else:
+                return None
+
+    def authenticate_user(self, email: str, password: str) -> Optional[UserModel]:
+        log.info(f"authenticate_user: {email}")
+        try:
+            with get_db() as db:
+                auth = db.query(Auth).filter_by(email=email, active=True).first()
+                if auth:
+                    if verify_password(password, auth.password):
+                        user = Users.get_user_by_id(auth.id)
+                        return user
+                    else:
+                        return None
+                else:
+                    return None
+        except Exception:
+            return None
+
+    def authenticate_user_by_api_key(self, api_key: str) -> Optional[UserModel]:
+        log.info(f"authenticate_user_by_api_key: {api_key}")
+        # if no api_key, return None
+        if not api_key:
+            return None
+
+        try:
+            user = Users.get_user_by_api_key(api_key)
+            return user if user else None
+        except Exception:
+            return False
+
+    def authenticate_user_by_trusted_header(self, email: str) -> Optional[UserModel]:
+        log.info(f"authenticate_user_by_trusted_header: {email}")
+        try:
+            with get_db() as db:
+                auth = db.query(Auth).filter_by(email=email, active=True).first()
+                if auth:
+                    user = Users.get_user_by_id(auth.id)
+                    return user
+        except Exception:
+            return None
+
+    def update_user_password_by_id(self, id: str, new_password: str) -> bool:
+        try:
+            with get_db() as db:
+                result = (
+                    db.query(Auth).filter_by(id=id).update({"password": new_password})
+                )
+                db.commit()
+                return True if result == 1 else False
+        except Exception:
+            return False
+
+    def update_email_by_id(self, id: str, email: str) -> bool:
+        try:
+            with get_db() as db:
+                result = db.query(Auth).filter_by(id=id).update({"email": email})
+                db.commit()
+                return True if result == 1 else False
+        except Exception:
+            return False
+
+    def delete_auth_by_id(self, id: str) -> bool:
+        try:
+            with get_db() as db:
+                # Delete User
+                result = Users.delete_user_by_id(id)
+
+                if result:
+                    db.query(Auth).filter_by(id=id).delete()
+                    db.commit()
+
+                    return True
+                else:
+                    return False
+        except Exception:
+            return False
+
+
+Auths = AuthsTable()