Merge pull request #2743 from open-webui/dev

fix: changelog

.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/dependabot.disabled

@@ -0,0 +1,11 @@
+version: 2
+updates:
+  - package-ecosystem: pip
+    directory: '/backend'
+    schedule:
+      interval: weekly
+  - package-ecosystem: 'github-actions'
+    directory: '/'
+    schedule:
+      # Check for updates to GitHub Actions every week
+      interval: 'weekly'

.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?
+- [ ] **Label:** To cleary categorize this pull request, assign a relevant label to 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

@@ -11,7 +11,7 @@ jobs:
 
     steps:
     - name: Checkout repository
-      uses: actions/checkout@v2
+      uses: actions/checkout@v4
 
     - name: Check for changes in package.json
       run: |
@@ -36,7 +36,7 @@ jobs:
         echo "::set-output name=content::$CHANGELOG_ESCAPED"
 
     - name: Create GitHub release
-      uses: actions/github-script@v5
+      uses: actions/github-script@v7
       with:
         github-token: ${{ secrets.GITHUB_TOKEN }}
         script: |
@@ -51,7 +51,7 @@ jobs:
           console.log(`Created release ${release.data.html_url}`)
 
     - name: Upload package to GitHub release
-      uses: actions/upload-artifact@v3
+      uses: actions/upload-artifact@v4
       with:
         name: package
         path: .

.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

@@ -63,6 +63,18 @@ 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 +84,10 @@ 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: |
@@ -123,7 +137,7 @@ 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 +153,18 @@ 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 +174,11 @@ 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: |
@@ -216,6 +244,18 @@ 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 +265,11 @@ 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: |

.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 +1,199 @@
+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: 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: 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
+
+  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 >> $GITHUB_ENV
+
+      - name: Install dependencies
+        run: |
+          uv pip install -r backend/requirements.txt
+
+      - name: Test backend with SQLite
+        id: sqlite
+        env:
+          WEBUI_SECRET_KEY: secret-key
+          GLOBAL_LOG_LEVEL: debug
+        run: |
+          cd backend
+          uvicorn main:app --port "8080" --forwarded-allow-ips '*' &
+          UVICORN_PID=$!
+          # Wait up to 20 seconds for the server to start
+          for i in {1..20}; do
+              curl -s http://localhost:8080/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 $UVICORN_PID; then
+              echo "Server has stopped"
+              exit 1
+          fi
+          
+
+      - name: Test backend with Postgres
+        if: success() || steps.sqlite.conclusion == 'failure'
+        env:
+          WEBUI_SECRET_KEY: secret-key
+          GLOBAL_LOG_LEVEL: debug
+          DATABASE_URL: postgresql://postgres:postgres@localhost:5432/postgres
+        run: |
+          cd backend
+          uvicorn main:app --port "8081" --forwarded-allow-ips '*' &
+          UVICORN_PID=$!
+          # 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 $UVICORN_PID; then
+              echo "Server has stopped"
+              exit 1
+          fi
+
+#      - name: Test backend with MySQL
+#        if: success() || steps.sqlite.conclusion == 'failure' || steps.postgres.conclusion == 'failure'
+#        env:
+#          WEBUI_SECRET_KEY: secret-key
+#          GLOBAL_LOG_LEVEL: debug
+#          DATABASE_URL: mysql://root:mysql@localhost:3306/mysql
+#        run: |
+#          cd backend
+#          uvicorn main:app --port "8083" --forwarded-allow-ips '*' &
+#          UVICORN_PID=$!
+#          # 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 +1,31 @@
+name: Release to PyPI
+
+on:
+  push:
+    branches:
+      - main # or whatever branch you want to use
+
+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 +301,8 @@ dist
 .yarn/unplugged
 .yarn/build-state.yml
 .yarn/install-state.gz
-.pnp.*
+.pnp.*
+
+# cypress artifacts
+cypress/videos
+cypress/screenshots

.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 +5,165 @@ 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).
 
+## [0.2.2] - 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 +69,69 @@ 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 && \
+    # 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 and netcat
+    apt-get install -y --no-install-recommends pandoc netcat-openbsd curl jq && \
+    # 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 +140,20 @@ 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:8080/health | jq -e '.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

@@ -15,93 +15,39 @@ Open WebUI is an extensible, feature-rich, and user-friendly self-hosted WebUI d
 
 ![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/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.
+- 🛠️ **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.
 
-- 🔍 **RAG Embedding Support**: Change the RAG embedding model directly in document settings, enhancing document processing. This feature supports Ollama and OpenAI models.
+- 📚 **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.
 
-- 🌐 **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.
+- 🔍 **Web Search for RAG**: Perform web searches using providers like `SearXNG`, `Google PSE`, `Brave Search`, `serpstack`, and `serper`, and inject the results directly into your chat experience.
 
-- 📜 **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.
+- 🌐 **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.
 
-- 👍👎 **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.
-
-- 🏷️ **Conversation Tagging**: Effortlessly categorize and locate specific chats for quick reference and streamlined data collection.
-
-- 📥🗑️ **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 +66,66 @@ 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 +136,6 @@ 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/):

backend/apps/audio/main.py

@@ -43,6 +43,9 @@ from config import (
     DEVICE_TYPE,
     AUDIO_OPENAI_API_BASE_URL,
     AUDIO_OPENAI_API_KEY,
+    AUDIO_OPENAI_API_MODEL,
+    AUDIO_OPENAI_API_VOICE,
+    AppConfig,
 )
 
 log = logging.getLogger(__name__)
@@ -57,9 +60,11 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-
-app.state.OPENAI_API_BASE_URL = AUDIO_OPENAI_API_BASE_URL
-app.state.OPENAI_API_KEY = AUDIO_OPENAI_API_KEY
+app.state.config = AppConfig()
+app.state.config.OPENAI_API_BASE_URL = AUDIO_OPENAI_API_BASE_URL
+app.state.config.OPENAI_API_KEY = AUDIO_OPENAI_API_KEY
+app.state.config.OPENAI_API_MODEL = AUDIO_OPENAI_API_MODEL
+app.state.config.OPENAI_API_VOICE = AUDIO_OPENAI_API_VOICE
 
 # setting device type for whisper model
 whisper_device_type = DEVICE_TYPE if DEVICE_TYPE and DEVICE_TYPE == "cuda" else "cpu"
@@ -72,13 +77,17 @@ SPEECH_CACHE_DIR.mkdir(parents=True, exist_ok=True)
 class OpenAIConfigUpdateForm(BaseModel):
     url: str
     key: str
+    model: str
+    speaker: 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,
+        "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
+        "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
+        "OPENAI_API_MODEL": app.state.config.OPENAI_API_MODEL,
+        "OPENAI_API_VOICE": app.state.config.OPENAI_API_VOICE,
     }
 
 
@@ -89,13 +98,17 @@ async def update_openai_config(
     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
+    app.state.config.OPENAI_API_BASE_URL = form_data.url
+    app.state.config.OPENAI_API_KEY = form_data.key
+    app.state.config.OPENAI_API_MODEL = form_data.model
+    app.state.config.OPENAI_API_VOICE = form_data.speaker
 
     return {
         "status": True,
-        "OPENAI_API_BASE_URL": app.state.OPENAI_API_BASE_URL,
-        "OPENAI_API_KEY": app.state.OPENAI_API_KEY,
+        "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
+        "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
+        "OPENAI_API_MODEL": app.state.config.OPENAI_API_MODEL,
+        "OPENAI_API_VOICE": app.state.config.OPENAI_API_VOICE,
     }
 
 
@@ -112,13 +125,13 @@ async def speech(request: Request, user=Depends(get_verified_user)):
         return FileResponse(file_path)
 
     headers = {}
-    headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
+    headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEY}"
     headers["Content-Type"] = "application/json"
 
     r = None
     try:
         r = requests.post(
-            url=f"{app.state.OPENAI_API_BASE_URL}/audio/speech",
+            url=f"{app.state.config.OPENAI_API_BASE_URL}/audio/speech",
             data=body,
             headers=headers,
             stream=True,

backend/apps/images/main.py

@@ -24,6 +24,7 @@ from utils.misc import calculate_sha256
 from typing import Optional
 from pydantic import BaseModel
 from pathlib import Path
+import mimetypes
 import uuid
 import base64
 import json
@@ -32,11 +33,16 @@ import logging
 from config import (
     SRC_LOG_LEVELS,
     CACHE_DIR,
+    IMAGE_GENERATION_ENGINE,
     ENABLE_IMAGE_GENERATION,
     AUTOMATIC1111_BASE_URL,
     COMFYUI_BASE_URL,
     IMAGES_OPENAI_API_BASE_URL,
     IMAGES_OPENAI_API_KEY,
+    IMAGE_GENERATION_MODEL,
+    IMAGE_SIZE,
+    IMAGE_STEPS,
+    AppConfig,
 )
 
 
@@ -55,26 +61,31 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
-app.state.ENGINE = ""
-app.state.ENABLED = ENABLE_IMAGE_GENERATION
+app.state.config = AppConfig()
 
-app.state.OPENAI_API_BASE_URL = IMAGES_OPENAI_API_BASE_URL
-app.state.OPENAI_API_KEY = IMAGES_OPENAI_API_KEY
+app.state.config.ENGINE = IMAGE_GENERATION_ENGINE
+app.state.config.ENABLED = ENABLE_IMAGE_GENERATION
 
-app.state.MODEL = ""
+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.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
-app.state.COMFYUI_BASE_URL = COMFYUI_BASE_URL
+app.state.config.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
+app.state.config.COMFYUI_BASE_URL = COMFYUI_BASE_URL
 
 
-app.state.IMAGE_SIZE = "512x512"
-app.state.IMAGE_STEPS = 50
+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 {"engine": app.state.ENGINE, "enabled": app.state.ENABLED}
+    return {
+        "engine": app.state.config.ENGINE,
+        "enabled": app.state.config.ENABLED,
+    }
 
 
 class ConfigUpdateForm(BaseModel):
@@ -84,9 +95,12 @@ class ConfigUpdateForm(BaseModel):
 
 @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}
+    app.state.config.ENGINE = form_data.engine
+    app.state.config.ENABLED = form_data.enabled
+    return {
+        "engine": app.state.config.ENGINE,
+        "enabled": app.state.config.ENABLED,
+    }
 
 
 class EngineUrlUpdateForm(BaseModel):
@@ -97,8 +111,8 @@ class EngineUrlUpdateForm(BaseModel):
 @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,
+        "AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
+        "COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
     }
 
 
@@ -108,29 +122,29 @@ async def update_engine_url(
 ):
 
     if form_data.AUTOMATIC1111_BASE_URL == None:
-        app.state.AUTOMATIC1111_BASE_URL = AUTOMATIC1111_BASE_URL
+        app.state.config.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
+            app.state.config.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
+        app.state.config.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
+            app.state.config.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,
+        "AUTOMATIC1111_BASE_URL": app.state.config.AUTOMATIC1111_BASE_URL,
+        "COMFYUI_BASE_URL": app.state.config.COMFYUI_BASE_URL,
         "status": True,
     }
 
@@ -143,8 +157,8 @@ class OpenAIConfigUpdateForm(BaseModel):
 @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,
+        "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
+        "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
     }
 
 
@@ -155,13 +169,13 @@ async def update_openai_config(
     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
+    app.state.config.OPENAI_API_BASE_URL = form_data.url
+    app.state.config.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,
+        "OPENAI_API_BASE_URL": app.state.config.OPENAI_API_BASE_URL,
+        "OPENAI_API_KEY": app.state.config.OPENAI_API_KEY,
     }
 
 
@@ -171,7 +185,7 @@ class ImageSizeUpdateForm(BaseModel):
 
 @app.get("/size")
 async def get_image_size(user=Depends(get_admin_user)):
-    return {"IMAGE_SIZE": app.state.IMAGE_SIZE}
+    return {"IMAGE_SIZE": app.state.config.IMAGE_SIZE}
 
 
 @app.post("/size/update")
@@ -180,9 +194,9 @@ async def update_image_size(
 ):
     pattern = r"^\d+x\d+$"  # Regular expression pattern
     if re.match(pattern, form_data.size):
-        app.state.IMAGE_SIZE = form_data.size
+        app.state.config.IMAGE_SIZE = form_data.size
         return {
-            "IMAGE_SIZE": app.state.IMAGE_SIZE,
+            "IMAGE_SIZE": app.state.config.IMAGE_SIZE,
             "status": True,
         }
     else:
@@ -198,7 +212,7 @@ class ImageStepsUpdateForm(BaseModel):
 
 @app.get("/steps")
 async def get_image_size(user=Depends(get_admin_user)):
-    return {"IMAGE_STEPS": app.state.IMAGE_STEPS}
+    return {"IMAGE_STEPS": app.state.config.IMAGE_STEPS}
 
 
 @app.post("/steps/update")
@@ -206,9 +220,9 @@ 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
+        app.state.config.IMAGE_STEPS = form_data.steps
         return {
-            "IMAGE_STEPS": app.state.IMAGE_STEPS,
+            "IMAGE_STEPS": app.state.config.IMAGE_STEPS,
             "status": True,
         }
     else:
@@ -221,14 +235,14 @@ async def update_image_size(
 @app.get("/models")
 def get_models(user=Depends(get_current_user)):
     try:
-        if app.state.ENGINE == "openai":
+        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.ENGINE == "comfyui":
+        elif app.state.config.ENGINE == "comfyui":
 
-            r = requests.get(url=f"{app.state.COMFYUI_BASE_URL}/object_info")
+            r = requests.get(url=f"{app.state.config.COMFYUI_BASE_URL}/object_info")
             info = r.json()
 
             return list(
@@ -240,7 +254,7 @@ def get_models(user=Depends(get_current_user)):
 
         else:
             r = requests.get(
-                url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models"
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/sd-models"
             )
             models = r.json()
             return list(
@@ -250,23 +264,29 @@ def get_models(user=Depends(get_current_user)):
                 )
             )
     except Exception as e:
-        app.state.ENABLED = False
+        app.state.config.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 ""}
+        if app.state.config.ENGINE == "openai":
+            return {
+                "model": (
+                    app.state.config.MODEL if app.state.config.MODEL else "dall-e-2"
+                )
+            }
+        elif app.state.config.ENGINE == "comfyui":
+            return {"model": (app.state.config.MODEL if app.state.config.MODEL else "")}
         else:
-            r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
+            r = requests.get(
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options"
+            )
             options = r.json()
             return {"model": options["sd_model_checkpoint"]}
     except Exception as e:
-        app.state.ENABLED = False
+        app.state.config.ENABLED = False
         raise HTTPException(status_code=400, detail=ERROR_MESSAGES.DEFAULT(e))
 
 
@@ -275,20 +295,20 @@ class UpdateModelForm(BaseModel):
 
 
 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
+    if app.state.config.ENGINE in ["openai", "comfyui"]:
+        app.state.config.MODEL = model
+        return app.state.config.MODEL
     else:
-        r = requests.get(url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/options")
+        r = requests.get(
+            url=f"{app.state.config.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
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/options",
+                json=options,
             )
 
         return options
@@ -311,35 +331,61 @@ class GenerateImageForm(BaseModel):
 
 
 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)
+        image_id = str(uuid.uuid4())
 
-        # Write the image data to a file
-        with open(file_path, "wb") as f:
-            f.write(img_data)
+        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
 
-        return image_id
     except Exception as e:
-        log.error(f"Error saving image: {e}")
+        log.exception(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()
+        if r.headers["content-type"].split("/")[0] == "image":
 
-        with open(file_path, "wb") as image_file:
-            image_file.write(r.content)
+            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(f"Url does not point to an image.")
+            return None
 
-        return image_id
     except Exception as e:
         log.exception(f"Error saving image: {e}")
         return None
@@ -351,26 +397,32 @@ def generate_image(
     user=Depends(get_current_user),
 ):
 
-    width, height = tuple(map(int, app.state.IMAGE_SIZE.split("x")))
+    width, height = tuple(map(int, app.state.config.IMAGE_SIZE.split("x")))
 
     r = None
     try:
-        if app.state.ENGINE == "openai":
+        if app.state.config.ENGINE == "openai":
 
             headers = {}
-            headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEY}"
+            headers["Authorization"] = f"Bearer {app.state.config.OPENAI_API_KEY}"
             headers["Content-Type"] = "application/json"
 
             data = {
-                "model": app.state.MODEL if app.state.MODEL != "" else "dall-e-2",
+                "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.IMAGE_SIZE,
+                "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.OPENAI_API_BASE_URL}/images/generations",
+                url=f"{app.state.config.OPENAI_API_BASE_URL}/images/generations",
                 json=data,
                 headers=headers,
             )
@@ -381,16 +433,16 @@ def generate_image(
             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")
+                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.ENGINE == "comfyui":
+        elif app.state.config.ENGINE == "comfyui":
 
             data = {
                 "prompt": form_data.prompt,
@@ -399,28 +451,28 @@ def generate_image(
                 "n": form_data.n,
             }
 
-            if app.state.IMAGE_STEPS != None:
-                data["steps"] = app.state.IMAGE_STEPS
+            if app.state.config.IMAGE_STEPS is not None:
+                data["steps"] = app.state.config.IMAGE_STEPS
 
-            if form_data.negative_prompt != None:
+            if form_data.negative_prompt is not None:
                 data["negative_prompt"] = form_data.negative_prompt
 
             data = ImageGenerationPayload(**data)
 
             res = comfyui_generate_image(
-                app.state.MODEL,
+                app.state.config.MODEL,
                 data,
                 user.id,
-                app.state.COMFYUI_BASE_URL,
+                app.state.config.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")
+                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(data.model_dump(exclude_none=True), f)
@@ -438,14 +490,14 @@ def generate_image(
                 "height": height,
             }
 
-            if app.state.IMAGE_STEPS != None:
-                data["steps"] = app.state.IMAGE_STEPS
+            if app.state.config.IMAGE_STEPS is not None:
+                data["steps"] = app.state.config.IMAGE_STEPS
 
-            if form_data.negative_prompt != None:
+            if form_data.negative_prompt is not None:
                 data["negative_prompt"] = form_data.negative_prompt
 
             r = requests.post(
-                url=f"{app.state.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img",
+                url=f"{app.state.config.AUTOMATIC1111_BASE_URL}/sdapi/v1/txt2img",
                 json=data,
             )
 
@@ -456,9 +508,9 @@ def generate_image(
             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")
+                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)

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

@@ -9,9 +9,10 @@ import json
 import logging
 
 from pydantic import BaseModel
+from starlette.background import BackgroundTask
 
-
-from apps.web.models.users import Users
+from apps.webui.models.models import Models
+from apps.webui.models.users import Users
 from constants import ERROR_MESSAGES
 from utils.utils import (
     decode_token,
@@ -21,11 +22,13 @@ from utils.utils import (
 )
 from config import (
     SRC_LOG_LEVELS,
+    ENABLE_OPENAI_API,
     OPENAI_API_BASE_URLS,
     OPENAI_API_KEYS,
     CACHE_DIR,
-    MODEL_FILTER_ENABLED,
+    ENABLE_MODEL_FILTER,
     MODEL_FILTER_LIST,
+    AppConfig,
 )
 from typing import List, Optional
 
@@ -45,11 +48,15 @@ app.add_middleware(
     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.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 = {}
 
@@ -65,6 +72,21 @@ async def check_url(request: Request, call_next):
     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]
 
@@ -75,32 +97,32 @@ class KeysUpdateForm(BaseModel):
 
 @app.get("/urls")
 async def get_openai_urls(user=Depends(get_admin_user)):
-    return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
+    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.OPENAI_API_BASE_URLS = form_data.urls
-    return {"OPENAI_API_BASE_URLS": app.state.OPENAI_API_BASE_URLS}
+    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.OPENAI_API_KEYS}
+    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.OPENAI_API_KEYS = form_data.keys
-    return {"OPENAI_API_KEYS": app.state.OPENAI_API_KEYS}
+    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.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
+        idx = app.state.config.OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
         body = await request.body()
         name = hashlib.sha256(body).hexdigest()
 
@@ -114,13 +136,15 @@ async def speech(request: Request, user=Depends(get_verified_user)):
             return FileResponse(file_path)
 
         headers = {}
-        headers["Authorization"] = f"Bearer {app.state.OPENAI_API_KEYS[idx]}"
+        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.OPENAI_API_BASE_URLS[idx]}/audio/speech",
+                url=f"{app.state.config.OPENAI_API_BASE_URLS[idx]}/audio/speech",
                 data=body,
                 headers=headers,
                 stream=True,
@@ -159,9 +183,10 @@ async def speech(request: Request, user=Depends(get_verified_user)):
 
 
 async def fetch_url(url, key):
+    timeout = aiohttp.ClientTimeout(total=5)
     try:
         headers = {"Authorization": f"Bearer {key}"}
-        async with aiohttp.ClientSession() as session:
+        async with aiohttp.ClientSession(timeout=timeout) as session:
             async with session.get(url, headers=headers) as response:
                 return await response.json()
     except Exception as e:
@@ -170,16 +195,34 @@ async def fetch_url(url, key):
         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, "urlIdx": idx}
+                    {
+                        **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.OPENAI_API_BASE_URLS[idx]
+                    if "api.openai.com"
+                    not in app.state.config.OPENAI_API_BASE_URLS[idx]
                     or "gpt" in model["id"]
                 ]
             )
@@ -187,26 +230,55 @@ def merge_models_lists(model_lists):
     return merged_list
 
 
-async def get_all_models():
+async def get_all_models(raw: bool = False):
     log.info("get_all_models()")
 
-    if len(app.state.OPENAI_API_KEYS) == 1 and app.state.OPENAI_API_KEYS[0] == "":
+    if (
+        len(app.state.config.OPENAI_API_KEYS) == 1
+        and app.state.config.OPENAI_API_KEYS[0] == ""
+    ) or not app.state.config.ENABLE_OPENAI_API:
         models = {"data": []}
     else:
+        # Check if API KEYS length is same than API URLS length
+        if len(app.state.config.OPENAI_API_KEYS) != len(
+            app.state.config.OPENAI_API_BASE_URLS
+        ):
+            # if there are more keys than urls, remove the extra keys
+            if len(app.state.config.OPENAI_API_KEYS) > len(
+                app.state.config.OPENAI_API_BASE_URLS
+            ):
+                app.state.config.OPENAI_API_KEYS = app.state.config.OPENAI_API_KEYS[
+                    : len(app.state.config.OPENAI_API_BASE_URLS)
+                ]
+            # if there are more urls than keys, add empty keys
+            else:
+                app.state.config.OPENAI_API_KEYS += [
+                    ""
+                    for _ in range(
+                        len(app.state.config.OPENAI_API_BASE_URLS)
+                        - len(app.state.config.OPENAI_API_KEYS)
+                    )
+                ]
+
         tasks = [
-            fetch_url(f"{url}/models", app.state.OPENAI_API_KEYS[idx])
-            for idx, url in enumerate(app.state.OPENAI_API_BASE_URLS)
+            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}")
+
+        if raw:
+            return responses
+
         models = {
             "data": merge_models_lists(
                 list(
                     map(
                         lambda response: (
                             response["data"]
-                            if response and "data" in response
-                            else None
+                            if (response and "data" in response)
+                            else (response if isinstance(response, list) else None)
                         ),
                         responses,
                     )
@@ -214,10 +286,10 @@ async def get_all_models():
             )
         }
 
-        log.info(f"models: {models}")
+        log.debug(f"models: {models}")
         app.state.MODELS = {model["id"]: model for model in models["data"]}
 
-        return models
+    return models
 
 
 @app.get("/models")
@@ -225,23 +297,28 @@ async def get_all_models():
 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 app.state.config.ENABLE_MODEL_FILTER:
             if user.role == "user":
                 models["data"] = list(
                     filter(
-                        lambda model: model["id"] in app.state.MODEL_FILTER_LIST,
+                        lambda model: model["id"] in app.state.config.MODEL_FILTER_LIST,
                         models["data"],
                     )
                 )
                 return models
         return models
     else:
-        url = app.state.OPENAI_API_BASE_URLS[url_idx]
+        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")
+            r = requests.request(method="GET", url=f"{url}/models", headers=headers)
             r.raise_for_status()
 
             response_data = r.json()
@@ -275,77 +352,154 @@ async def proxy(path: str, request: Request, user=Depends(get_verified_user)):
     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)
+
+    payload = None
+
     try:
-        body = body.decode("utf-8")
-        body = json.loads(body)
+        if "chat/completions" in path:
+            body = body.decode("utf-8")
+            body = json.loads(body)
 
-        idx = app.state.MODELS[body.get("model")]["urlIdx"]
+            payload = {**body}
 
-        # 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)
+            model_id = body.get("model")
+            model_info = Models.get_model_by_id(model_id)
 
-        # 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"]
+            if model_info:
+                print(model_info)
+                if model_info.base_model_id:
+                    payload["model"] = model_info.base_model_id
+
+                model_info.params = model_info.params.model_dump()
+
+                if model_info.params:
+                    if model_info.params.get("temperature", None):
+                        payload["temperature"] = int(
+                            model_info.params.get("temperature")
+                        )
+
+                    if model_info.params.get("top_p", None):
+                        payload["top_p"] = int(model_info.params.get("top_p", None))
+
+                    if model_info.params.get("max_tokens", None):
+                        payload["max_tokens"] = int(
+                            model_info.params.get("max_tokens", None)
+                        )
+
+                    if model_info.params.get("frequency_penalty", None):
+                        payload["frequency_penalty"] = int(
+                            model_info.params.get("frequency_penalty", None)
+                        )
+
+                    if model_info.params.get("seed", None):
+                        payload["seed"] = model_info.params.get("seed", None)
+
+                    if model_info.params.get("stop", None):
+                        payload["stop"] = (
+                            [
+                                bytes(stop, "utf-8").decode("unicode_escape")
+                                for stop in model_info.params["stop"]
+                            ]
+                            if model_info.params.get("stop", None)
+                            else None
+                        )
+
+                if model_info.params.get("system", None):
+                    # Check if the payload already has a system message
+                    # If not, add a system message to the payload
+                    if payload.get("messages"):
+                        for message in payload["messages"]:
+                            if message.get("role") == "system":
+                                message["content"] = (
+                                    model_info.params.get("system", None)
+                                    + message["content"]
+                                )
+                                break
+                        else:
+                            payload["messages"].insert(
+                                0,
+                                {
+                                    "role": "system",
+                                    "content": model_info.params.get("system", None),
+                                },
+                            )
+            else:
+                pass
+
+            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}
+
+            # 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 payload.get("model") == "gpt-4-vision-preview":
+                if "max_tokens" not in payload:
+                    payload["max_tokens"] = 4000
+                log.debug("Modified payload:", payload)
+
+            # Convert the modified body back to JSON
+            payload = json.dumps(payload)
 
-        # 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]
+    print(payload)
+
+    url = app.state.config.OPENAI_API_BASE_URLS[idx]
+    key = app.state.config.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
+    session = None
+    streaming = False
 
     try:
-        r = requests.request(
+        session = aiohttp.ClientSession()
+        r = await session.request(
             method=request.method,
             url=target_url,
-            data=body,
+            data=payload if payload else body,
             headers=headers,
-            stream=True,
         )
 
         r.raise_for_status()
 
         # Check if response is SSE
         if "text/event-stream" in r.headers.get("Content-Type", ""):
+            streaming = True
             return StreamingResponse(
-                r.iter_content(chunk_size=8192),
-                status_code=r.status_code,
+                r.content,
+                status_code=r.status,
                 headers=dict(r.headers),
+                background=BackgroundTask(
+                    cleanup_response, response=r, session=session
+                ),
             )
         else:
-            response_data = r.json()
+            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 = r.json()
+                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:
                 error_detail = f"External: {e}"
-
-        raise HTTPException(
-            status_code=r.status_code if r else 500, detail=error_detail
-        )
+        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/apps/rag/main.py

@@ -11,7 +11,7 @@ from fastapi.middleware.cors import CORSMiddleware
 import os, shutil, logging, re
 
 from pathlib import Path
-from typing import List
+from typing import List, Union, Sequence
 
 from chromadb.utils.batch_utils import create_batches
 
@@ -28,9 +28,16 @@ from langchain_community.document_loaders import (
     UnstructuredXMLLoader,
     UnstructuredRSTLoader,
     UnstructuredExcelLoader,
+    UnstructuredPowerPointLoader,
+    YoutubeLoader,
 )
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 
+import validators
+import urllib.parse
+import socket
+
+
 from pydantic import BaseModel
 from typing import Optional
 import mimetypes
@@ -39,20 +46,29 @@ import json
 
 import sentence_transformers
 
-from apps.ollama.main import generate_ollama_embeddings, GenerateEmbeddingsForm
-
-from apps.web.models.documents import (
+from apps.webui.models.documents import (
     Documents,
     DocumentForm,
     DocumentResponse,
 )
 
 from apps.rag.utils import (
-    query_embeddings_doc,
-    query_embeddings_collection,
-    generate_openai_embeddings,
+    get_model_path,
+    get_embedding_function,
+    query_doc,
+    query_doc_with_hybrid_search,
+    query_collection,
+    query_collection_with_hybrid_search,
 )
 
+from apps.rag.search.brave import search_brave
+from apps.rag.search.google_pse import search_google_pse
+from apps.rag.search.main import SearchResult
+from apps.rag.search.searxng import search_searxng
+from apps.rag.search.serper import search_serper
+from apps.rag.search.serpstack import search_serpstack
+
+
 from utils.misc import (
     calculate_sha256,
     calculate_sha256_string,
@@ -60,13 +76,24 @@ from utils.misc import (
     extract_folders_after_data_docs,
 )
 from utils.utils import get_current_user, get_admin_user
+
 from config import (
+    ENV,
     SRC_LOG_LEVELS,
     UPLOAD_DIR,
     DOCS_DIR,
+    RAG_TOP_K,
+    RAG_RELEVANCE_THRESHOLD,
     RAG_EMBEDDING_ENGINE,
     RAG_EMBEDDING_MODEL,
+    RAG_EMBEDDING_MODEL_AUTO_UPDATE,
     RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
+    ENABLE_RAG_HYBRID_SEARCH,
+    ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
+    RAG_RERANKING_MODEL,
+    PDF_EXTRACT_IMAGES,
+    RAG_RERANKING_MODEL_AUTO_UPDATE,
+    RAG_RERANKING_MODEL_TRUST_REMOTE_CODE,
     RAG_OPENAI_API_BASE_URL,
     RAG_OPENAI_API_KEY,
     DEVICE_TYPE,
@@ -74,6 +101,20 @@ from config import (
     CHUNK_SIZE,
     CHUNK_OVERLAP,
     RAG_TEMPLATE,
+    ENABLE_RAG_LOCAL_WEB_FETCH,
+    YOUTUBE_LOADER_LANGUAGE,
+    ENABLE_RAG_WEB_SEARCH,
+    RAG_WEB_SEARCH_ENGINE,
+    SEARXNG_QUERY_URL,
+    GOOGLE_PSE_API_KEY,
+    GOOGLE_PSE_ENGINE_ID,
+    BRAVE_SEARCH_API_KEY,
+    SERPSTACK_API_KEY,
+    SERPSTACK_HTTPS,
+    SERPER_API_KEY,
+    RAG_WEB_SEARCH_RESULT_COUNT,
+    RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
+    AppConfig,
 )
 
 from constants import ERROR_MESSAGES
@@ -83,31 +124,99 @@ log.setLevel(SRC_LOG_LEVELS["RAG"])
 
 app = FastAPI()
 
+app.state.config = AppConfig()
 
-app.state.TOP_K = 4
-app.state.CHUNK_SIZE = CHUNK_SIZE
-app.state.CHUNK_OVERLAP = CHUNK_OVERLAP
+app.state.config.TOP_K = RAG_TOP_K
+app.state.config.RELEVANCE_THRESHOLD = RAG_RELEVANCE_THRESHOLD
+
+app.state.config.ENABLE_RAG_HYBRID_SEARCH = ENABLE_RAG_HYBRID_SEARCH
+app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = (
+    ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION
+)
+
+app.state.config.CHUNK_SIZE = CHUNK_SIZE
+app.state.config.CHUNK_OVERLAP = CHUNK_OVERLAP
+
+app.state.config.RAG_EMBEDDING_ENGINE = RAG_EMBEDDING_ENGINE
+app.state.config.RAG_EMBEDDING_MODEL = RAG_EMBEDDING_MODEL
+app.state.config.RAG_RERANKING_MODEL = RAG_RERANKING_MODEL
+app.state.config.RAG_TEMPLATE = RAG_TEMPLATE
 
 
-app.state.RAG_EMBEDDING_ENGINE = RAG_EMBEDDING_ENGINE
-app.state.RAG_EMBEDDING_MODEL = RAG_EMBEDDING_MODEL
-app.state.RAG_TEMPLATE = RAG_TEMPLATE
+app.state.config.OPENAI_API_BASE_URL = RAG_OPENAI_API_BASE_URL
+app.state.config.OPENAI_API_KEY = RAG_OPENAI_API_KEY
 
-app.state.OPENAI_API_BASE_URL = RAG_OPENAI_API_BASE_URL
-app.state.OPENAI_API_KEY = RAG_OPENAI_API_KEY
+app.state.config.PDF_EXTRACT_IMAGES = PDF_EXTRACT_IMAGES
 
-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,
-    )
+app.state.config.YOUTUBE_LOADER_LANGUAGE = YOUTUBE_LOADER_LANGUAGE
+app.state.YOUTUBE_LOADER_TRANSLATION = None
 
 
+app.state.config.ENABLE_RAG_WEB_SEARCH = ENABLE_RAG_WEB_SEARCH
+app.state.config.RAG_WEB_SEARCH_ENGINE = RAG_WEB_SEARCH_ENGINE
+
+app.state.config.SEARXNG_QUERY_URL = SEARXNG_QUERY_URL
+app.state.config.GOOGLE_PSE_API_KEY = GOOGLE_PSE_API_KEY
+app.state.config.GOOGLE_PSE_ENGINE_ID = GOOGLE_PSE_ENGINE_ID
+app.state.config.BRAVE_SEARCH_API_KEY = BRAVE_SEARCH_API_KEY
+app.state.config.SERPSTACK_API_KEY = SERPSTACK_API_KEY
+app.state.config.SERPSTACK_HTTPS = SERPSTACK_HTTPS
+app.state.config.SERPER_API_KEY = SERPER_API_KEY
+app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = RAG_WEB_SEARCH_RESULT_COUNT
+app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = RAG_WEB_SEARCH_CONCURRENT_REQUESTS
+
+
+def update_embedding_model(
+    embedding_model: str,
+    update_model: bool = False,
+):
+    if embedding_model and app.state.config.RAG_EMBEDDING_ENGINE == "":
+        app.state.sentence_transformer_ef = sentence_transformers.SentenceTransformer(
+            get_model_path(embedding_model, update_model),
+            device=DEVICE_TYPE,
+            trust_remote_code=RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE,
+        )
+    else:
+        app.state.sentence_transformer_ef = None
+
+
+def update_reranking_model(
+    reranking_model: str,
+    update_model: bool = False,
+):
+    if reranking_model:
+        app.state.sentence_transformer_rf = sentence_transformers.CrossEncoder(
+            get_model_path(reranking_model, update_model),
+            device=DEVICE_TYPE,
+            trust_remote_code=RAG_RERANKING_MODEL_TRUST_REMOTE_CODE,
+        )
+    else:
+        app.state.sentence_transformer_rf = None
+
+
+update_embedding_model(
+    app.state.config.RAG_EMBEDDING_MODEL,
+    RAG_EMBEDDING_MODEL_AUTO_UPDATE,
+)
+
+update_reranking_model(
+    app.state.config.RAG_RERANKING_MODEL,
+    RAG_RERANKING_MODEL_AUTO_UPDATE,
+)
+
+
+app.state.EMBEDDING_FUNCTION = get_embedding_function(
+    app.state.config.RAG_EMBEDDING_ENGINE,
+    app.state.config.RAG_EMBEDDING_MODEL,
+    app.state.sentence_transformer_ef,
+    app.state.config.OPENAI_API_KEY,
+    app.state.config.OPENAI_API_BASE_URL,
+)
+
 origins = ["*"]
 
+
 app.add_middleware(
     CORSMiddleware,
     allow_origins=origins,
@@ -121,19 +230,24 @@ class CollectionNameForm(BaseModel):
     collection_name: Optional[str] = "test"
 
 
-class StoreWebForm(CollectionNameForm):
+class UrlForm(CollectionNameForm):
     url: str
 
 
+class SearchForm(CollectionNameForm):
+    query: 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,
+        "chunk_size": app.state.config.CHUNK_SIZE,
+        "chunk_overlap": app.state.config.CHUNK_OVERLAP,
+        "template": app.state.config.RAG_TEMPLATE,
+        "embedding_engine": app.state.config.RAG_EMBEDDING_ENGINE,
+        "embedding_model": app.state.config.RAG_EMBEDDING_MODEL,
+        "reranking_model": app.state.config.RAG_RERANKING_MODEL,
     }
 
 
@@ -141,15 +255,23 @@ async def get_status():
 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,
+        "embedding_engine": app.state.config.RAG_EMBEDDING_ENGINE,
+        "embedding_model": app.state.config.RAG_EMBEDDING_MODEL,
         "openai_config": {
-            "url": app.state.OPENAI_API_BASE_URL,
-            "key": app.state.OPENAI_API_KEY,
+            "url": app.state.config.OPENAI_API_BASE_URL,
+            "key": app.state.config.OPENAI_API_KEY,
         },
     }
 
 
+@app.get("/reranking")
+async def get_reraanking_config(user=Depends(get_admin_user)):
+    return {
+        "status": True,
+        "reranking_model": app.state.config.RAG_RERANKING_MODEL,
+    }
+
+
 class OpenAIConfigForm(BaseModel):
     url: str
     key: str
@@ -166,37 +288,36 @@ 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}"
+        f"Updating embedding model: {app.state.config.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
+        app.state.config.RAG_EMBEDDING_ENGINE = form_data.embedding_engine
+        app.state.config.RAG_EMBEDDING_MODEL = form_data.embedding_model
 
+        if app.state.config.RAG_EMBEDDING_ENGINE in ["ollama", "openai"]:
             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
+                app.state.config.OPENAI_API_BASE_URL = form_data.openai_config.url
+                app.state.config.OPENAI_API_KEY = form_data.openai_config.key
+
+        update_embedding_model(app.state.config.RAG_EMBEDDING_MODEL)
+
+        app.state.EMBEDDING_FUNCTION = get_embedding_function(
+            app.state.config.RAG_EMBEDDING_ENGINE,
+            app.state.config.RAG_EMBEDDING_MODEL,
+            app.state.sentence_transformer_ef,
+            app.state.config.OPENAI_API_KEY,
+            app.state.config.OPENAI_API_BASE_URL,
+        )
 
         return {
             "status": True,
-            "embedding_engine": app.state.RAG_EMBEDDING_ENGINE,
-            "embedding_model": app.state.RAG_EMBEDDING_MODEL,
+            "embedding_engine": app.state.config.RAG_EMBEDDING_ENGINE,
+            "embedding_model": app.state.config.RAG_EMBEDDING_MODEL,
             "openai_config": {
-                "url": app.state.OPENAI_API_BASE_URL,
-                "key": app.state.OPENAI_API_KEY,
+                "url": app.state.config.OPENAI_API_BASE_URL,
+                "key": app.state.config.OPENAI_API_KEY,
             },
         }
-
     except Exception as e:
         log.exception(f"Problem updating embedding model: {e}")
         raise HTTPException(
@@ -205,14 +326,62 @@ async def update_embedding_config(
         )
 
 
+class RerankingModelUpdateForm(BaseModel):
+    reranking_model: str
+
+
+@app.post("/reranking/update")
+async def update_reranking_config(
+    form_data: RerankingModelUpdateForm, user=Depends(get_admin_user)
+):
+    log.info(
+        f"Updating reranking model: {app.state.config.RAG_RERANKING_MODEL} to {form_data.reranking_model}"
+    )
+    try:
+        app.state.config.RAG_RERANKING_MODEL = form_data.reranking_model
+
+        update_reranking_model(app.state.config.RAG_RERANKING_MODEL), True
+
+        return {
+            "status": True,
+            "reranking_model": app.state.config.RAG_RERANKING_MODEL,
+        }
+    except Exception as e:
+        log.exception(f"Problem updating reranking 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,
+        "pdf_extract_images": app.state.config.PDF_EXTRACT_IMAGES,
         "chunk": {
-            "chunk_size": app.state.CHUNK_SIZE,
-            "chunk_overlap": app.state.CHUNK_OVERLAP,
+            "chunk_size": app.state.config.CHUNK_SIZE,
+            "chunk_overlap": app.state.config.CHUNK_OVERLAP,
+        },
+        "youtube": {
+            "language": app.state.config.YOUTUBE_LOADER_LANGUAGE,
+            "translation": app.state.YOUTUBE_LOADER_TRANSLATION,
+        },
+        "web": {
+            "ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
+            "search": {
+                "enabled": app.state.config.ENABLE_RAG_WEB_SEARCH,
+                "engine": app.state.config.RAG_WEB_SEARCH_ENGINE,
+                "searxng_query_url": app.state.config.SEARXNG_QUERY_URL,
+                "google_pse_api_key": app.state.config.GOOGLE_PSE_API_KEY,
+                "google_pse_engine_id": app.state.config.GOOGLE_PSE_ENGINE_ID,
+                "brave_search_api_key": app.state.config.BRAVE_SEARCH_API_KEY,
+                "serpstack_api_key": app.state.config.SERPSTACK_API_KEY,
+                "serpstack_https": app.state.config.SERPSTACK_HTTPS,
+                "serper_api_key": app.state.config.SERPER_API_KEY,
+                "result_count": app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+                "concurrent_requests": app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
+            },
         },
     }
 
@@ -222,23 +391,102 @@ class ChunkParamUpdateForm(BaseModel):
     chunk_overlap: int
 
 
+class YoutubeLoaderConfig(BaseModel):
+    language: List[str]
+    translation: Optional[str] = None
+
+
+class WebSearchConfig(BaseModel):
+    enabled: bool
+    engine: Optional[str] = None
+    searxng_query_url: Optional[str] = None
+    google_pse_api_key: Optional[str] = None
+    google_pse_engine_id: Optional[str] = None
+    brave_search_api_key: Optional[str] = None
+    serpstack_api_key: Optional[str] = None
+    serpstack_https: Optional[bool] = None
+    serper_api_key: Optional[str] = None
+    result_count: Optional[int] = None
+    concurrent_requests: Optional[int] = None
+
+
+class WebConfig(BaseModel):
+    search: WebSearchConfig
+    web_loader_ssl_verification: Optional[bool] = None
+
+
 class ConfigUpdateForm(BaseModel):
-    pdf_extract_images: bool
-    chunk: ChunkParamUpdateForm
+    pdf_extract_images: Optional[bool] = None
+    chunk: Optional[ChunkParamUpdateForm] = None
+    youtube: Optional[YoutubeLoaderConfig] = None
+    web: Optional[WebConfig] = None
 
 
 @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
+    app.state.config.PDF_EXTRACT_IMAGES = (
+        form_data.pdf_extract_images
+        if form_data.pdf_extract_images is not None
+        else app.state.config.PDF_EXTRACT_IMAGES
+    )
+
+    if form_data.chunk is not None:
+        app.state.config.CHUNK_SIZE = form_data.chunk.chunk_size
+        app.state.config.CHUNK_OVERLAP = form_data.chunk.chunk_overlap
+
+    if form_data.youtube is not None:
+        app.state.config.YOUTUBE_LOADER_LANGUAGE = form_data.youtube.language
+        app.state.YOUTUBE_LOADER_TRANSLATION = form_data.youtube.translation
+
+    if form_data.web is not None:
+        app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = (
+            form_data.web.web_loader_ssl_verification
+        )
+
+        app.state.config.ENABLE_RAG_WEB_SEARCH = form_data.web.search.enabled
+        app.state.config.RAG_WEB_SEARCH_ENGINE = form_data.web.search.engine
+        app.state.config.SEARXNG_QUERY_URL = form_data.web.search.searxng_query_url
+        app.state.config.GOOGLE_PSE_API_KEY = form_data.web.search.google_pse_api_key
+        app.state.config.GOOGLE_PSE_ENGINE_ID = (
+            form_data.web.search.google_pse_engine_id
+        )
+        app.state.config.BRAVE_SEARCH_API_KEY = (
+            form_data.web.search.brave_search_api_key
+        )
+        app.state.config.SERPSTACK_API_KEY = form_data.web.search.serpstack_api_key
+        app.state.config.SERPSTACK_HTTPS = form_data.web.search.serpstack_https
+        app.state.config.SERPER_API_KEY = form_data.web.search.serper_api_key
+        app.state.config.RAG_WEB_SEARCH_RESULT_COUNT = form_data.web.search.result_count
+        app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS = (
+            form_data.web.search.concurrent_requests
+        )
 
     return {
         "status": True,
-        "pdf_extract_images": app.state.PDF_EXTRACT_IMAGES,
+        "pdf_extract_images": app.state.config.PDF_EXTRACT_IMAGES,
         "chunk": {
-            "chunk_size": app.state.CHUNK_SIZE,
-            "chunk_overlap": app.state.CHUNK_OVERLAP,
+            "chunk_size": app.state.config.CHUNK_SIZE,
+            "chunk_overlap": app.state.config.CHUNK_OVERLAP,
+        },
+        "youtube": {
+            "language": app.state.config.YOUTUBE_LOADER_LANGUAGE,
+            "translation": app.state.YOUTUBE_LOADER_TRANSLATION,
+        },
+        "web": {
+            "ssl_verification": app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
+            "search": {
+                "enabled": app.state.config.ENABLE_RAG_WEB_SEARCH,
+                "engine": app.state.config.RAG_WEB_SEARCH_ENGINE,
+                "searxng_query_url": app.state.config.SEARXNG_QUERY_URL,
+                "google_pse_api_key": app.state.config.GOOGLE_PSE_API_KEY,
+                "google_pse_engine_id": app.state.config.GOOGLE_PSE_ENGINE_ID,
+                "brave_search_api_key": app.state.config.BRAVE_SEARCH_API_KEY,
+                "serpstack_api_key": app.state.config.SERPSTACK_API_KEY,
+                "serpstack_https": app.state.config.SERPSTACK_HTTPS,
+                "serper_api_key": app.state.config.SERPER_API_KEY,
+                "result_count": app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+                "concurrent_requests": app.state.config.RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
+            },
         },
     }
 
@@ -247,7 +495,7 @@ async def update_rag_config(form_data: ConfigUpdateForm, user=Depends(get_admin_
 async def get_rag_template(user=Depends(get_current_user)):
     return {
         "status": True,
-        "template": app.state.RAG_TEMPLATE,
+        "template": app.state.config.RAG_TEMPLATE,
     }
 
 
@@ -255,29 +503,47 @@ async def get_rag_template(user=Depends(get_current_user)):
 async def get_query_settings(user=Depends(get_admin_user)):
     return {
         "status": True,
-        "template": app.state.RAG_TEMPLATE,
-        "k": app.state.TOP_K,
+        "template": app.state.config.RAG_TEMPLATE,
+        "k": app.state.config.TOP_K,
+        "r": app.state.config.RELEVANCE_THRESHOLD,
+        "hybrid": app.state.config.ENABLE_RAG_HYBRID_SEARCH,
     }
 
 
 class QuerySettingsForm(BaseModel):
     k: Optional[int] = None
+    r: Optional[float] = None
     template: Optional[str] = None
+    hybrid: Optional[bool] = 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}
+    app.state.config.RAG_TEMPLATE = (
+        form_data.template if form_data.template else RAG_TEMPLATE
+    )
+    app.state.config.TOP_K = form_data.k if form_data.k else 4
+    app.state.config.RELEVANCE_THRESHOLD = form_data.r if form_data.r else 0.0
+    app.state.config.ENABLE_RAG_HYBRID_SEARCH = (
+        form_data.hybrid if form_data.hybrid else False
+    )
+    return {
+        "status": True,
+        "template": app.state.config.RAG_TEMPLATE,
+        "k": app.state.config.TOP_K,
+        "r": app.state.config.RELEVANCE_THRESHOLD,
+        "hybrid": app.state.config.ENABLE_RAG_HYBRID_SEARCH,
+    }
 
 
 class QueryDocForm(BaseModel):
     collection_name: str
     query: str
     k: Optional[int] = None
+    r: Optional[float] = None
+    hybrid: Optional[bool] = None
 
 
 @app.post("/query/doc")
@@ -286,34 +552,24 @@ def query_doc_handler(
     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,
-                    }
-                )
+        if app.state.config.ENABLE_RAG_HYBRID_SEARCH:
+            return query_doc_with_hybrid_search(
+                collection_name=form_data.collection_name,
+                query=form_data.query,
+                embedding_function=app.state.EMBEDDING_FUNCTION,
+                k=form_data.k if form_data.k else app.state.config.TOP_K,
+                reranking_function=app.state.sentence_transformer_rf,
+                r=(
+                    form_data.r if form_data.r else app.state.config.RELEVANCE_THRESHOLD
+                ),
             )
-        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,
+        else:
+            return query_doc(
+                collection_name=form_data.collection_name,
+                query=form_data.query,
+                embedding_function=app.state.EMBEDDING_FUNCTION,
+                k=form_data.k if form_data.k else app.state.config.TOP_K,
             )
-
-        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(
@@ -326,6 +582,8 @@ class QueryCollectionsForm(BaseModel):
     collection_names: List[str]
     query: str
     k: Optional[int] = None
+    r: Optional[float] = None
+    hybrid: Optional[bool] = None
 
 
 @app.post("/query/collection")
@@ -334,33 +592,25 @@ def query_collection_handler(
     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,
-                    }
-                )
+        if app.state.config.ENABLE_RAG_HYBRID_SEARCH:
+            return query_collection_with_hybrid_search(
+                collection_names=form_data.collection_names,
+                query=form_data.query,
+                embedding_function=app.state.EMBEDDING_FUNCTION,
+                k=form_data.k if form_data.k else app.state.config.TOP_K,
+                reranking_function=app.state.sentence_transformer_rf,
+                r=(
+                    form_data.r if form_data.r else app.state.config.RELEVANCE_THRESHOLD
+                ),
             )
-        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,
+        else:
+            return query_collection(
+                collection_names=form_data.collection_names,
+                query=form_data.query,
+                embedding_function=app.state.EMBEDDING_FUNCTION,
+                k=form_data.k if form_data.k else app.state.config.TOP_K,
             )
 
-        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(
@@ -369,11 +619,15 @@ def query_collection_handler(
         )
 
 
-@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"
+@app.post("/youtube")
+def store_youtube_video(form_data: UrlForm, user=Depends(get_current_user)):
     try:
-        loader = WebBaseLoader(form_data.url)
+        loader = YoutubeLoader.from_youtube_url(
+            form_data.url,
+            add_video_info=True,
+            language=app.state.config.YOUTUBE_LOADER_LANGUAGE,
+            translation=app.state.YOUTUBE_LOADER_TRANSLATION,
+        )
         data = loader.load()
 
         collection_name = form_data.collection_name
@@ -394,11 +648,194 @@ def store_web(form_data: StoreWebForm, user=Depends(get_current_user)):
         )
 
 
+@app.post("/web")
+def store_web(form_data: UrlForm, user=Depends(get_current_user)):
+    # "https://www.gutenberg.org/files/1727/1727-h/1727-h.htm"
+    try:
+        loader = get_web_loader(
+            form_data.url,
+            verify_ssl=app.state.config.ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION,
+        )
+        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 get_web_loader(url: Union[str, Sequence[str]], verify_ssl: bool = True):
+    # Check if the URL is valid
+    if not validate_url(url):
+        raise ValueError(ERROR_MESSAGES.INVALID_URL)
+    return WebBaseLoader(
+        url,
+        verify_ssl=verify_ssl,
+        requests_per_second=RAG_WEB_SEARCH_CONCURRENT_REQUESTS,
+        continue_on_failure=True,
+    )
+
+
+def validate_url(url: Union[str, Sequence[str]]):
+    if isinstance(url, str):
+        if isinstance(validators.url(url), validators.ValidationError):
+            raise ValueError(ERROR_MESSAGES.INVALID_URL)
+        if not ENABLE_RAG_LOCAL_WEB_FETCH:
+            # Local web fetch is disabled, filter out any URLs that resolve to private IP addresses
+            parsed_url = urllib.parse.urlparse(url)
+            # Get IPv4 and IPv6 addresses
+            ipv4_addresses, ipv6_addresses = resolve_hostname(parsed_url.hostname)
+            # Check if any of the resolved addresses are private
+            # This is technically still vulnerable to DNS rebinding attacks, as we don't control WebBaseLoader
+            for ip in ipv4_addresses:
+                if validators.ipv4(ip, private=True):
+                    raise ValueError(ERROR_MESSAGES.INVALID_URL)
+            for ip in ipv6_addresses:
+                if validators.ipv6(ip, private=True):
+                    raise ValueError(ERROR_MESSAGES.INVALID_URL)
+        return True
+    elif isinstance(url, Sequence):
+        return all(validate_url(u) for u in url)
+    else:
+        return False
+
+
+def resolve_hostname(hostname):
+    # Get address information
+    addr_info = socket.getaddrinfo(hostname, None)
+
+    # Extract IP addresses from address information
+    ipv4_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET]
+    ipv6_addresses = [info[4][0] for info in addr_info if info[0] == socket.AF_INET6]
+
+    return ipv4_addresses, ipv6_addresses
+
+
+def search_web(engine: str, query: str) -> list[SearchResult]:
+    """Search the web using a search engine and return the results as a list of SearchResult objects.
+    Will look for a search engine API key in environment variables in the following order:
+    - SEARXNG_QUERY_URL
+    - GOOGLE_PSE_API_KEY + GOOGLE_PSE_ENGINE_ID
+    - BRAVE_SEARCH_API_KEY
+    - SERPSTACK_API_KEY
+    - SERPER_API_KEY
+
+    Args:
+        query (str): The query to search for
+    """
+
+    # TODO: add playwright to search the web
+    if engine == "searxng":
+        if app.state.config.SEARXNG_QUERY_URL:
+            return search_searxng(
+                app.state.config.SEARXNG_QUERY_URL,
+                query,
+                app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+            )
+        else:
+            raise Exception("No SEARXNG_QUERY_URL found in environment variables")
+    elif engine == "google_pse":
+        if (
+            app.state.config.GOOGLE_PSE_API_KEY
+            and app.state.config.GOOGLE_PSE_ENGINE_ID
+        ):
+            return search_google_pse(
+                app.state.config.GOOGLE_PSE_API_KEY,
+                app.state.config.GOOGLE_PSE_ENGINE_ID,
+                query,
+                app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+            )
+        else:
+            raise Exception(
+                "No GOOGLE_PSE_API_KEY or GOOGLE_PSE_ENGINE_ID found in environment variables"
+            )
+    elif engine == "brave":
+        if app.state.config.BRAVE_SEARCH_API_KEY:
+            return search_brave(
+                app.state.config.BRAVE_SEARCH_API_KEY,
+                query,
+                app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+            )
+        else:
+            raise Exception("No BRAVE_SEARCH_API_KEY found in environment variables")
+    elif engine == "serpstack":
+        if app.state.config.SERPSTACK_API_KEY:
+            return search_serpstack(
+                app.state.config.SERPSTACK_API_KEY,
+                query,
+                app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+                https_enabled=app.state.config.SERPSTACK_HTTPS,
+            )
+        else:
+            raise Exception("No SERPSTACK_API_KEY found in environment variables")
+    elif engine == "serper":
+        if app.state.config.SERPER_API_KEY:
+            return search_serper(
+                app.state.config.SERPER_API_KEY,
+                query,
+                app.state.config.RAG_WEB_SEARCH_RESULT_COUNT,
+            )
+        else:
+            raise Exception("No SERPER_API_KEY found in environment variables")
+    else:
+        raise Exception("No search engine API key found in environment variables")
+
+
+@app.post("/web/search")
+def store_web_search(form_data: SearchForm, user=Depends(get_current_user)):
+    try:
+        web_results = search_web(
+            app.state.config.RAG_WEB_SEARCH_ENGINE, form_data.query
+        )
+    except Exception as e:
+        log.exception(e)
+
+        print(e)
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.WEB_SEARCH_ERROR(e),
+        )
+
+    try:
+        urls = [result.link for result in web_results]
+        loader = get_web_loader(urls)
+        data = loader.load()
+
+        collection_name = form_data.collection_name
+        if collection_name == "":
+            collection_name = calculate_sha256_string(form_data.query)[:63]
+
+        store_data_in_vector_db(data, collection_name, overwrite=True)
+        return {
+            "status": True,
+            "collection_name": collection_name,
+            "filenames": urls,
+        }
+    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,
+        chunk_size=app.state.config.CHUNK_SIZE,
+        chunk_overlap=app.state.config.CHUNK_OVERLAP,
         add_start_index=True,
     )
 
@@ -415,8 +852,8 @@ 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,
+        chunk_size=app.state.config.CHUNK_SIZE,
+        chunk_overlap=app.state.config.CHUNK_OVERLAP,
         add_start_index=True,
     )
     docs = text_splitter.create_documents([text], metadatas=[metadata])
@@ -427,8 +864,6 @@ def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> b
     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:
@@ -440,31 +875,20 @@ def store_docs_in_vector_db(docs, collection_name, overwrite: bool = False) -> b
 
         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
-            ]
+        embedding_func = get_embedding_function(
+            app.state.config.RAG_EMBEDDING_ENGINE,
+            app.state.config.RAG_EMBEDDING_MODEL,
+            app.state.sentence_transformer_ef,
+            app.state.config.OPENAI_API_KEY,
+            app.state.config.OPENAI_API_BASE_URL,
+        )
+
+        embedding_texts = list(map(lambda x: x.replace("\n", " "), texts))
+        embeddings = embedding_func(embedding_texts)
 
         for batch in create_batches(
             api=CHROMA_CLIENT,
-            ids=[str(uuid.uuid1()) for _ in texts],
+            ids=[str(uuid.uuid4()) for _ in texts],
             metadatas=metadatas,
             embeddings=embeddings,
             documents=texts,
@@ -530,7 +954,9 @@ def get_loader(filename: str, file_content_type: str, file_path: str):
     ]
 
     if file_ext == "pdf":
-        loader = PyPDFLoader(file_path, extract_images=app.state.PDF_EXTRACT_IMAGES)
+        loader = PyPDFLoader(
+            file_path, extract_images=app.state.config.PDF_EXTRACT_IMAGES
+        )
     elif file_ext == "csv":
         loader = CSVLoader(file_path)
     elif file_ext == "rst":
@@ -554,6 +980,11 @@ def get_loader(filename: str, file_content_type: str, file_path: str):
         "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
     ] or file_ext in ["xls", "xlsx"]:
         loader = UnstructuredExcelLoader(file_path)
+    elif file_content_type in [
+        "application/vnd.ms-powerpoint",
+        "application/vnd.openxmlformats-officedocument.presentationml.presentation",
+    ] or file_ext in ["ppt", "pptx"]:
+        loader = UnstructuredPowerPointLoader(file_path)
     elif file_ext in known_source_ext or (
         file_content_type and file_content_type.find("text/") >= 0
     ):
@@ -738,3 +1169,14 @@ def reset(user=Depends(get_admin_user)) -> bool:
         log.exception(e)
 
     return True
+
+
+if ENV == "dev":
+
+    @app.get("/ef")
+    async def get_embeddings():
+        return {"result": app.state.EMBEDDING_FUNCTION("hello world")}
+
+    @app.get("/ef/{text}")
+    async def get_embeddings_text(text: str):
+        return {"result": app.state.EMBEDDING_FUNCTION(text)}

backend/apps/rag/search/brave.py

@@ -0,0 +1,37 @@
+import logging
+
+import requests
+
+from apps.rag.search.main import SearchResult
+from config import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_brave(api_key: str, query: str, count: int) -> 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", [])
+    return [
+        SearchResult(
+            link=result["url"], title=result.get("title"), snippet=result.get("snippet")
+        )
+        for result in results[:count]
+    ]

backend/apps/rag/search/google_pse.py

@@ -0,0 +1,45 @@
+import json
+import logging
+
+import requests
+
+from apps.rag.search.main import SearchResult
+from config 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
+) -> 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", [])
+    return [
+        SearchResult(
+            link=result["link"],
+            title=result.get("title"),
+            snippet=result.get("snippet"),
+        )
+        for result in results
+    ]

backend/apps/rag/search/main.py

@@ -0,0 +1,9 @@
+from typing import Optional
+
+from pydantic import BaseModel
+
+
+class SearchResult(BaseModel):
+    link: str
+    title: Optional[str]
+    snippet: Optional[str]

backend/apps/rag/search/searxng.py

@@ -0,0 +1,44 @@
+import logging
+
+import requests
+
+from apps.rag.search.main import SearchResult
+from config import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_searxng(query_url: str, query: str, count: int) -> list[SearchResult]:
+    """Search a SearXNG instance for a query and return the results as a list of SearchResult objects.
+
+    Args:
+        query_url (str): The URL of the SearXNG instance to search. Must contain "<query>" as a placeholder
+        query (str): The query to search for
+    """
+    url = query_url.replace("<query>", query)
+    if "&format=json" not in url:
+        url += "&format=json"
+    log.debug(f"searching {url}")
+
+    r = requests.get(
+        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",
+        },
+    )
+    r.raise_for_status()
+
+    json_response = r.json()
+    results = json_response.get("results", [])
+    sorted_results = sorted(results, key=lambda x: x.get("score", 0), reverse=True)
+    return [
+        SearchResult(
+            link=result["url"], title=result.get("title"), snippet=result.get("content")
+        )
+        for result in sorted_results[:count]
+    ]

backend/apps/rag/search/serper.py

@@ -0,0 +1,39 @@
+import json
+import logging
+
+import requests
+
+from apps.rag.search.main import SearchResult
+from config import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_serper(api_key: str, query: str, count: int) -> 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)
+    )
+    return [
+        SearchResult(
+            link=result["link"],
+            title=result.get("title"),
+            snippet=result.get("description"),
+        )
+        for result in results[:count]
+    ]

backend/apps/rag/search/serpstack.py

@@ -0,0 +1,43 @@
+import json
+import logging
+
+import requests
+
+from apps.rag.search.main import SearchResult
+from config import SRC_LOG_LEVELS
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["RAG"])
+
+
+def search_serpstack(
+    api_key: str, query: str, count: int, 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)
+    )
+    return [
+        SearchResult(
+            link=result["url"], title=result.get("title"), snippet=result.get("snippet")
+        )
+        for result in results[:count]
+    ]

backend/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",
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+					"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."
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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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+					"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.",
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+					"You can pass many options to the configure script; run ./configure --help to find out more. On macOS case-insensitive file systems and on Cygwin, the executable is called python.exe; elsewhere it's just python.",
+					"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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+				"title": "5. Data Structures — Python 3.12.3 documentation",
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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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+					"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"
+				]
+			},
+			{
+				"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",
+				"is_source_local": false,
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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...",
+				"page_age": "2024-05-04T06:45:04",
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+					"url": "https://github.com/asdf-vm/asdf/issues/1740",
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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/",
+				"is_source_local": false,
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+				"description": "I was looking at App execution aliases (Settings &gt; Apps &gt; Advanced app settings &gt; App execution aliases) on my new computer -- my first Windows 11 computer. Why are <strong>python</strong>.exe and python3.exe listed as App Installer? I assume that App Installer refers to installation of Microsoft Store / UWP...",
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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."
+				]
+			},
+			{
+				"title": "How to Watermark Your Images Using Python OpenCV in ...",
+				"url": "https://medium.com/@daily_data_prep/how-to-watermark-your-images-using-python-opencv-in-bulk-e472085389a1",
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+				"title": "Increment and Decrement Operators in Python?",
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+					"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."
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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/apps/rag/search/testdata/serper.json

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+{
+	"searchParameters": {
+		"q": "apple inc",
+		"gl": "us",
+		"hl": "en",
+		"autocorrect": true,
+		"page": 1,
+		"type": "search"
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+	"knowledgeGraph": {
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+		"type": "Technology company",
+		"website": "http://www.apple.com/",
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+		"description": "Apple Inc. is an American multinational technology company specializing in consumer electronics, software and online services headquartered in Cupertino, California, United States.",
+		"descriptionSource": "Wikipedia",
+		"descriptionLink": "https://en.wikipedia.org/wiki/Apple_Inc.",
+		"attributes": {
+			"Headquarters": "Cupertino, CA",
+			"CEO": "Tim Cook (Aug 24, 2011–)",
+			"Founded": "April 1, 1976, Los Altos, CA",
+			"Sales": "1 (800) 692-7753",
+			"Products": "iPhone, Apple Watch, iPad, and more",
+			"Founders": "Steve Jobs, Steve Wozniak, and Ronald Wayne",
+			"Subsidiaries": "Apple Store, Beats Electronics, Beddit, and more"
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+			"link": "https://www.apple.com/",
+			"snippet": "Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, ...",
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+					"link": "https://support.apple.com/"
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+				{
+					"title": "iPhone",
+					"link": "https://www.apple.com/iphone/"
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+					"link": "https://www.apple.com/business/"
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+				{
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+		},
+		{
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+			"link": "https://en.wikipedia.org/wiki/Apple_Inc.",
+			"snippet": "Apple Inc. is an American multinational technology company specializing in consumer electronics, software and online services headquartered in Cupertino, ...",
+			"attributes": {
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+				"Founders": "Steve Jobs; Steve Wozniak; Ronald Wayne",
+				"Founded": "April 1, 1976; 46 years ago in Los Altos, California, U.S",
+				"Industry": "Consumer electronics; Software services; Online services"
+			},
+			"sitelinks": [
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+					"title": "History",
+					"link": "https://en.wikipedia.org/wiki/History_of_Apple_Inc."
+				},
+				{
+					"title": "Timeline of Apple Inc. products",
+					"link": "https://en.wikipedia.org/wiki/Timeline_of_Apple_Inc._products"
+				},
+				{
+					"title": "List of software by Apple Inc.",
+					"link": "https://en.wikipedia.org/wiki/List_of_software_by_Apple_Inc."
+				},
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+					"link": "https://en.wikipedia.org/wiki/Apple_Store"
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+			],
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+			"link": "https://www.britannica.com/topic/Apple-Inc",
+			"snippet": "Apple Inc., formerly Apple Computer, Inc., American manufacturer of personal computers, smartphones, tablet computers, computer peripherals, ...",
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+				"Date": "1976 - present",
+				"Areas Of Involvement": "peripheral device"
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+		},
+		{
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+			"snippet": "Stock analysis for Apple Inc (AAPL:NASDAQ GS) including stock price, stock chart, company news, key statistics, fundamentals and company profile.",
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+		{
+			"title": "Apple Inc. (AAPL) Company Profile & Facts - Yahoo Finance",
+			"link": "https://finance.yahoo.com/quote/AAPL/profile/",
+			"snippet": "Apple Inc. designs, manufactures, and markets smartphones, personal computers, tablets, wearables, and accessories worldwide. It also sells various related ...",
+			"position": 5
+		},
+		{
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+			"link": "https://www.wsj.com/market-data/quotes/AAPL",
+			"snippet": "Apple, Inc. engages in the design, manufacture, and sale of smartphones, personal computers, tablets, wearables and accessories, and other varieties of ...",
+			"position": 6
+		},
+		{
+			"title": "Apple Inc Company Profile - Apple Inc Overview - GlobalData",
+			"link": "https://www.globaldata.com/company-profile/apple-inc/",
+			"snippet": "Apple Inc (Apple) designs, manufactures, and markets smartphones, tablets, personal computers (PCs), portable and wearable devices. The company also offers ...",
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+			"link": "https://www.google.com/finance/quote/AAPL:NASDAQ?hl=en",
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+	"peopleAlsoAsk": [
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+			"snippet": "Apple Inc., formerly Apple Computer, Inc., American manufacturer of personal\ncomputers, smartphones, tablet computers, computer peripherals, and computer\nsoftware. It was the first successful personal computer company and the\npopularizer of the graphical user interface.\nAug 31, 2022",
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+			"link": "https://www.britannica.com/topic/Apple-Inc"
+		},
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+			"title": "Apple Inc. - Wikipedia",
+			"link": "https://en.wikipedia.org/wiki/Apple_Inc."
+		},
+		{
+			"question": "Who owns Apple Inc?",
+			"snippet": "Apple Inc. is owned by two main institutional investors (Vanguard Group and\nBlackRock, Inc). While its major individual shareholders comprise people like\nArt Levinson, Tim Cook, Bruce Sewell, Al Gore, Johny Sroujli, and others.",
+			"title": "Who Owns Apple In 2022? - FourWeekMBA",
+			"link": "https://fourweekmba.com/who-owns-apple/"
+		},
+		{
+			"question": "What products does Apple Inc offer?",
+			"snippet": "APPLE FOOTER\nStore.\nMac.\niPad.\niPhone.\nWatch.\nAirPods.\nTV & Home.\nAirTag.",
+			"title": "More items...",
+			"link": "https://www.apple.com/business/"
+		}
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+			"query": "Who invented the iPhone"
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+		{
+			"query": "Apple Inc competitors"
+		},
+		{
+			"query": "Apple iPad"
+		},
+		{
+			"query": "iPhones"
+		},
+		{
+			"query": "Apple Inc us"
+		},
+		{
+			"query": "Apple company history"
+		},
+		{
+			"query": "Apple Store"
+		},
+		{
+			"query": "Apple customer service"
+		},
+		{
+			"query": "Apple Watch"
+		},
+		{
+			"query": "Apple Inc Industry"
+		},
+		{
+			"query": "Apple Inc registered address"
+		},
+		{
+			"query": "Apple Inc Bloomberg"
+		}
+	]
+}

backend/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/apps/rag/utils.py

@@ -1,3 +1,4 @@
+import os
 import logging
 import requests
 
@@ -8,95 +9,192 @@ from apps.ollama.main import (
     GenerateEmbeddingsForm,
 )
 
-from config import SRC_LOG_LEVELS, CHROMA_CLIENT
+from huggingface_hub import snapshot_download
 
+from langchain_core.documents import Document
+from langchain_community.retrievers import BM25Retriever
+from langchain.retrievers import (
+    ContextualCompressionRetriever,
+    EnsembleRetriever,
+)
+
+from typing import Optional
+
+
+from config import (
+    SRC_LOG_LEVELS,
+    CHROMA_CLIENT,
+    SEARXNG_QUERY_URL,
+    GOOGLE_PSE_API_KEY,
+    GOOGLE_PSE_ENGINE_ID,
+    BRAVE_SEARCH_API_KEY,
+    SERPSTACK_API_KEY,
+    SERPSTACK_HTTPS,
+    SERPER_API_KEY,
+)
 
 log = logging.getLogger(__name__)
 log.setLevel(SRC_LOG_LEVELS["RAG"])
 
 
-def query_embeddings_doc(collection_name: str, query: str, query_embeddings, k: int):
+def query_doc(
+    collection_name: str,
+    query: str,
+    embedding_function,
+    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)
+        query_embeddings = embedding_function(query)
 
         result = collection.query(
             query_embeddings=[query_embeddings],
             n_results=k,
         )
 
-        log.info(f"query_embeddings_doc:result {result}")
+        log.info(f"query_doc:result {result}")
         return result
     except Exception as e:
         raise e
 
 
-def merge_and_sort_query_results(query_results, k):
+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_ids = []
     combined_distances = []
-    combined_metadatas = []
     combined_documents = []
+    combined_metadatas = []
 
-    # 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])
+        combined_metadatas.extend(data["metadatas"][0])
 
-    # Create a list of tuples (distance, id, metadata, document)
-    combined = list(
-        zip(combined_distances, combined_ids, combined_metadatas, combined_documents)
-    )
+    # 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])
+    combined.sort(key=lambda x: x[0], reverse=reverse)
 
-    # Unzip the sorted list
-    sorted_distances, sorted_ids, sorted_metadatas, sorted_documents = zip(*combined)
+    # 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_ids = list(sorted_ids)[:k]
-    sorted_metadatas = list(sorted_metadatas)[:k]
-    sorted_documents = list(sorted_documents)[:k]
+        # 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
-    merged_query_results = {
-        "ids": [sorted_ids],
+    result = {
         "distances": [sorted_distances],
-        "metadatas": [sorted_metadatas],
         "documents": [sorted_documents],
-        "embeddings": None,
-        "uris": None,
-        "data": None,
+        "metadatas": [sorted_metadatas],
     }
 
-    return merged_query_results
+    return result
 
 
-def query_embeddings_collection(
-    collection_names: List[str], query: str, query_embeddings, k: int
+def query_collection(
+    collection_names: List[str],
+    query: str,
+    embedding_function,
+    k: int,
 ):
-
     results = []
-    log.info(f"query_embeddings_collection {query_embeddings}")
-
     for collection_name in collection_names:
         try:
-            result = query_embeddings_doc(
+            result = query_doc(
                 collection_name=collection_name,
                 query=query,
-                query_embeddings=query_embeddings,
                 k=k,
+                embedding_function=embedding_function,
             )
             results.append(result)
         except:
             pass
+    return merge_and_sort_query_results(results, k=k)
 
-    return merge_and_sort_query_results(results, 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:
+            pass
+    return merge_and_sort_query_results(results, k=k, reverse=True)
 
 
 def rag_template(template: str, context: str, query: str):
@@ -105,20 +203,53 @@ def rag_template(template: str, context: str, query: str):
     return template
 
 
-def rag_messages(
-    docs,
-    messages,
-    template,
-    k,
+def get_embedding_function(
     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}"
-    )
+    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):
+                return [f(q) for q in query]
+            else:
+                return f(query)
+
+        return lambda query: generate_multiple(query, func)
+
+
+def rag_messages(
+    docs,
+    messages,
+    template,
+    embedding_function,
+    k,
+    reranking_function,
+    r,
+    hybrid_search,
+):
+    log.debug(f"docs: {docs} {messages} {embedding_function} {reranking_function}")
 
     last_user_message_idx = None
     for i in range(len(messages) - 1, -1, -1):
@@ -145,62 +276,74 @@ def rag_messages(
         content_type = None
         query = ""
 
+    extracted_collections = []
     relevant_contexts = []
 
     for doc in docs:
         context = None
 
-        try:
+        collection_names = (
+            doc["collection_names"]
+            if doc["type"] == "collection"
+            else [doc["collection_name"]]
+        )
 
+        collection_names = set(collection_names).difference(extracted_collections)
+        if not collection_names:
+            log.debug(f"skipping {doc} as it has already been extracted")
+            continue
+
+        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"],
+                if hybrid_search:
+                    context = query_collection_with_hybrid_search(
+                        collection_names=collection_names,
                         query=query,
-                        query_embeddings=query_embeddings,
+                        embedding_function=embedding_function,
                         k=k,
+                        reranking_function=reranking_function,
+                        r=r,
                     )
                 else:
-                    context = query_embeddings_doc(
-                        collection_name=doc["collection_name"],
+                    context = query_collection(
+                        collection_names=collection_names,
                         query=query,
-                        query_embeddings=query_embeddings,
+                        embedding_function=embedding_function,
                         k=k,
                     )
-
         except Exception as e:
             log.exception(e)
             context = None
 
-        relevant_contexts.append(context)
+        if context:
+            relevant_contexts.append({**context, "source": doc})
 
-    log.debug(f"relevant_contexts: {relevant_contexts}")
+        extracted_collections.extend(collection_names)
 
     context_string = ""
+
+    citations = []
     for context in relevant_contexts:
-        if context:
-            context_string += " ".join(context["documents"][0]) + "\n"
+        try:
+            if "documents" in context:
+                context_string += "\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)
+
+    context_string = context_string.strip()
 
     ra_content = rag_template(
         template=template,
@@ -208,6 +351,8 @@ def rag_messages(
         query=query,
     )
 
+    log.debug(f"ra_content: {ra_content}")
+
     if content_type == "list":
         new_content = []
         for content_item in user_message["content"]:
@@ -226,7 +371,45 @@ def rag_messages(
 
     messages[last_user_message_idx] = new_user_message
 
-    return messages
+    return messages, 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(
@@ -250,3 +433,101 @@ def generate_openai_embeddings(
     except Exception as e:
         print(e)
         return None
+
+
+from typing import Any
+
+from langchain_core.retrievers import BaseRetriever
+from langchain_core.callbacks import CallbackManagerForRetrieverRun
+
+
+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.documents import BaseDocumentCompressor, Document
+from langchain_core.callbacks import Callbacks
+from langchain_core.pydantic_v1 import Extra
+
+from sentence_transformers import util
+
+
+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:
+            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/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/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/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/webui/internal/db.py

@@ -0,0 +1,39 @@
+import json
+
+from peewee import *
+from peewee_migrate import Router
+from playhouse.db_url import connect
+from config import SRC_LOG_LEVELS, DATA_DIR, DATABASE_URL, BACKEND_DIR
+import os
+import logging
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["DB"])
+
+
+class JSONField(TextField):
+    def db_value(self, value):
+        return json.dumps(value)
+
+    def python_value(self, value):
+        if value is not None:
+            return json.loads(value)
+
+
+# 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("Database migrated from Ollama-WebUI successfully.")
+else:
+    pass
+
+DB = connect(DATABASE_URL)
+log.info(f"Connected to a {DB.__class__.__name__} database.")
+router = Router(
+    DB,
+    migrate_dir=BACKEND_DIR / "apps" / "webui" / "internal" / "migrations",
+    logger=log,
+)
+router.run()
+DB.connect(reuse_if_open=True)

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

@@ -14,7 +14,7 @@ You will need to create a migration file to ensure that existing databases are u
 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 ${MIGRATION_NAME}
+   pw_migrate create --auto --auto-source apps.webui.models --database sqlite:///${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.

backend/apps/webui/main.py

@@ -1,18 +1,19 @@
 from fastapi import FastAPI, Depends
 from fastapi.routing import APIRoute
 from fastapi.middleware.cors import CORSMiddleware
-from apps.web.routers import (
+from apps.webui.routers import (
     auths,
     users,
     chats,
     documents,
-    modelfiles,
+    models,
     prompts,
     configs,
+    memories,
     utils,
 )
 from config import (
-    WEBUI_VERSION,
+    WEBUI_BUILD_HASH,
     WEBUI_AUTH,
     DEFAULT_MODELS,
     DEFAULT_PROMPT_SUGGESTIONS,
@@ -21,22 +22,34 @@ from config import (
     USER_PERMISSIONS,
     WEBHOOK_URL,
     WEBUI_AUTH_TRUSTED_EMAIL_HEADER,
+    JWT_EXPIRES_IN,
+    WEBUI_BANNERS,
+    AppConfig,
+    ENABLE_COMMUNITY_SHARING,
 )
 
 app = FastAPI()
 
 origins = ["*"]
 
-app.state.ENABLE_SIGNUP = ENABLE_SIGNUP
-app.state.JWT_EXPIRES_IN = "-1"
+app.state.config = AppConfig()
 
-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.config.ENABLE_SIGNUP = ENABLE_SIGNUP
+app.state.config.JWT_EXPIRES_IN = JWT_EXPIRES_IN
+
+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.MODELS = {}
 app.state.AUTH_TRUSTED_EMAIL_HEADER = WEBUI_AUTH_TRUSTED_EMAIL_HEADER
 
+
 app.add_middleware(
     CORSMiddleware,
     allow_origins=origins,
@@ -48,9 +61,11 @@ app.add_middleware(
 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(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(configs.router, prefix="/configs", tags=["configs"])
 app.include_router(utils.router, prefix="/utils", tags=["utils"])
@@ -61,6 +76,6 @@ async def get_status():
     return {
         "status": True,
         "auth": WEBUI_AUTH,
-        "default_models": app.state.DEFAULT_MODELS,
-        "default_prompt_suggestions": app.state.DEFAULT_PROMPT_SUGGESTIONS,
+        "default_models": app.state.config.DEFAULT_MODELS,
+        "default_prompt_suggestions": app.state.config.DEFAULT_PROMPT_SUGGESTIONS,
     }

backend/apps/webui/models/auths.py

@@ -5,10 +5,10 @@ import uuid
 import logging
 from peewee import *
 
-from apps.web.models.users import UserModel, Users
+from apps.webui.models.users import UserModel, Users
 from utils.utils import verify_password
 
-from apps.web.internal.db import DB
+from apps.webui.internal.db import DB
 
 from config import SRC_LOG_LEVELS
 
@@ -23,7 +23,7 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
 class Auth(Model):
     id = CharField(unique=True)
     email = CharField()
-    password = CharField()
+    password = TextField()
     active = BooleanField()
 
     class Meta:
@@ -89,6 +89,10 @@ class SignupForm(BaseModel):
     profile_image_url: Optional[str] = "/user.png"
 
 
+class AddUserForm(SignupForm):
+    role: Optional[str] = "pending"
+
+
 class AuthsTable:
     def __init__(self, db):
         self.db = db

backend/apps/webui/models/chats.py

@@ -7,7 +7,7 @@ import json
 import uuid
 import time
 
-from apps.web.internal.db import DB
+from apps.webui.internal.db import DB
 
 ####################
 # Chat DB Schema
@@ -17,11 +17,11 @@ from apps.web.internal.db import DB
 class Chat(Model):
     id = CharField(unique=True)
     user_id = CharField()
-    title = CharField()
+    title = TextField()
     chat = TextField()  # Save Chat JSON as Text
 
-    created_at = DateTimeField()
-    updated_at = DateTimeField()
+    created_at = BigIntegerField()
+    updated_at = BigIntegerField()
 
     share_id = CharField(null=True, unique=True)
     archived = BooleanField(default=False)
@@ -191,7 +191,21 @@ class ChatTable:
         except:
             return None
 
-    def get_archived_chat_lists_by_user_id(
+    def archive_all_chats_by_user_id(self, user_id: str) -> bool:
+        try:
+            chats = self.get_chats_by_user_id(user_id)
+            for chat in chats:
+                query = Chat.update(
+                    archived=True,
+                ).where(Chat.id == chat.id)
+
+                query.execute()
+
+            return True
+        except:
+            return False
+
+    def get_archived_chat_list_by_user_id(
         self, user_id: str, skip: int = 0, limit: int = 50
     ) -> List[ChatModel]:
         return [
@@ -204,20 +218,34 @@ class ChatTable:
             # .offset(skip)
         ]
 
-    def get_chat_lists_by_user_id(
-        self, user_id: str, skip: int = 0, limit: int = 50
+    def get_chat_list_by_user_id(
+        self,
+        user_id: str,
+        include_archived: bool = False,
+        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)
-        ]
+        if include_archived:
+            return [
+                ChatModel(**model_to_dict(chat))
+                for chat in Chat.select()
+                .where(Chat.user_id == user_id)
+                .order_by(Chat.updated_at.desc())
+                # .limit(limit)
+                # .offset(skip)
+            ]
+        else:
+            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(
+    def get_chat_list_by_chat_ids(
         self, chat_ids: List[str], skip: int = 0, limit: int = 50
     ) -> List[ChatModel]:
         return [
@@ -228,20 +256,6 @@ class ChatTable:
             .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)
@@ -271,9 +285,28 @@ class ChatTable:
     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)
+            for chat in Chat.select().order_by(Chat.updated_at.desc())
+            # .limit(limit).offset(skip)
         ]
 
+    def get_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())
+            # .limit(limit).offset(skip)
+        ]
+
+    def delete_chat_by_id(self, id: str) -> bool:
+        try:
+            query = Chat.delete().where((Chat.id == 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_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))

backend/apps/webui/models/documents.py

@@ -8,7 +8,7 @@ import logging
 from utils.utils import decode_token
 from utils.misc import get_gravatar_url
 
-from apps.web.internal.db import DB
+from apps.webui.internal.db import DB
 
 import json
 
@@ -25,11 +25,11 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
 class Document(Model):
     collection_name = CharField(unique=True)
     name = CharField(unique=True)
-    title = CharField()
-    filename = CharField()
+    title = TextField()
+    filename = TextField()
     content = TextField(null=True)
     user_id = CharField()
-    timestamp = DateField()
+    timestamp = BigIntegerField()
 
     class Meta:
         database = DB

backend/apps/webui/models/memories.py

@@ -0,0 +1,118 @@
+from pydantic import BaseModel
+from peewee import *
+from playhouse.shortcuts import model_to_dict
+from typing import List, Union, Optional
+
+from apps.webui.internal.db import DB
+from apps.webui.models.chats import Chats
+
+import time
+import uuid
+
+####################
+# Memory DB Schema
+####################
+
+
+class Memory(Model):
+    id = CharField(unique=True)
+    user_id = CharField()
+    content = TextField()
+    updated_at = BigIntegerField()
+    created_at = BigIntegerField()
+
+    class Meta:
+        database = DB
+
+
+class MemoryModel(BaseModel):
+    id: str
+    user_id: str
+    content: str
+    updated_at: int  # timestamp in epoch
+    created_at: int  # timestamp in epoch
+
+
+####################
+# Forms
+####################
+
+
+class MemoriesTable:
+    def __init__(self, db):
+        self.db = db
+        self.db.create_tables([Memory])
+
+    def insert_new_memory(
+        self,
+        user_id: str,
+        content: str,
+    ) -> Optional[MemoryModel]:
+        id = str(uuid.uuid4())
+
+        memory = MemoryModel(
+            **{
+                "id": id,
+                "user_id": user_id,
+                "content": content,
+                "created_at": int(time.time()),
+                "updated_at": int(time.time()),
+            }
+        )
+        result = Memory.create(**memory.model_dump())
+        if result:
+            return memory
+        else:
+            return None
+
+    def get_memories(self) -> List[MemoryModel]:
+        try:
+            memories = Memory.select()
+            return [MemoryModel(**model_to_dict(memory)) for memory in memories]
+        except:
+            return None
+
+    def get_memories_by_user_id(self, user_id: str) -> List[MemoryModel]:
+        try:
+            memories = Memory.select().where(Memory.user_id == user_id)
+            return [MemoryModel(**model_to_dict(memory)) for memory in memories]
+        except:
+            return None
+
+    def get_memory_by_id(self, id) -> Optional[MemoryModel]:
+        try:
+            memory = Memory.get(Memory.id == id)
+            return MemoryModel(**model_to_dict(memory))
+        except:
+            return None
+
+    def delete_memory_by_id(self, id: str) -> bool:
+        try:
+            query = Memory.delete().where(Memory.id == id)
+            query.execute()  # Remove the rows, return number of rows removed.
+
+            return True
+
+        except:
+            return False
+
+    def delete_memories_by_user_id(self, user_id: str) -> bool:
+        try:
+            query = Memory.delete().where(Memory.user_id == user_id)
+            query.execute()
+
+            return True
+        except:
+            return False
+
+    def delete_memory_by_id_and_user_id(self, id: str, user_id: str) -> bool:
+        try:
+            query = Memory.delete().where(Memory.id == id, Memory.user_id == user_id)
+            query.execute()
+
+            return True
+        except:
+            return False
+
+
+Memories = MemoriesTable(DB)

backend/apps/webui/models/models.py

@@ -0,0 +1,179 @@
+import json
+import logging
+from typing import Optional
+
+import peewee as pw
+from peewee import *
+
+from playhouse.shortcuts import model_to_dict
+from pydantic import BaseModel, ConfigDict
+
+from apps.webui.internal.db import DB, JSONField
+
+from typing import List, Union, Optional
+from config import SRC_LOG_LEVELS
+
+import time
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
+
+####################
+# Models DB Schema
+####################
+
+
+# ModelParams is a model for the data stored in the params field of the Model table
+class ModelParams(BaseModel):
+    model_config = ConfigDict(extra="allow")
+    pass
+
+
+# ModelMeta is a model for the data stored in the meta field of the Model table
+class ModelMeta(BaseModel):
+    profile_image_url: Optional[str] = "/favicon.png"
+
+    description: Optional[str] = None
+    """
+        User-facing description of the model.
+    """
+
+    capabilities: Optional[dict] = None
+
+    model_config = ConfigDict(extra="allow")
+
+    pass
+
+
+class Model(pw.Model):
+    id = pw.TextField(unique=True)
+    """
+        The model's id as used in the API. If set to an existing model, it will override the model.
+    """
+    user_id = pw.TextField()
+
+    base_model_id = pw.TextField(null=True)
+    """
+        An optional pointer to the actual model that should be used when proxying requests.
+    """
+
+    name = pw.TextField()
+    """
+        The human-readable display name of the model.
+    """
+
+    params = JSONField()
+    """
+        Holds a JSON encoded blob of parameters, see `ModelParams`.
+    """
+
+    meta = JSONField()
+    """
+        Holds a JSON encoded blob of metadata, see `ModelMeta`.
+    """
+
+    updated_at = BigIntegerField()
+    created_at = BigIntegerField()
+
+    class Meta:
+        database = DB
+
+
+class ModelModel(BaseModel):
+    id: str
+    user_id: str
+    base_model_id: Optional[str] = None
+
+    name: str
+    params: ModelParams
+    meta: ModelMeta
+
+    updated_at: int  # timestamp in epoch
+    created_at: int  # timestamp in epoch
+
+
+####################
+# Forms
+####################
+
+
+class ModelResponse(BaseModel):
+    id: str
+    name: str
+    meta: ModelMeta
+    updated_at: int  # timestamp in epoch
+    created_at: int  # timestamp in epoch
+
+
+class ModelForm(BaseModel):
+    id: str
+    base_model_id: Optional[str] = None
+    name: str
+    meta: ModelMeta
+    params: ModelParams
+
+
+class ModelsTable:
+    def __init__(
+        self,
+        db: pw.SqliteDatabase | pw.PostgresqlDatabase,
+    ):
+        self.db = db
+        self.db.create_tables([Model])
+
+    def insert_new_model(
+        self, form_data: ModelForm, user_id: str
+    ) -> Optional[ModelModel]:
+        model = ModelModel(
+            **{
+                **form_data.model_dump(),
+                "user_id": user_id,
+                "created_at": int(time.time()),
+                "updated_at": int(time.time()),
+            }
+        )
+        try:
+            result = Model.create(**model.model_dump())
+
+            if result:
+                return model
+            else:
+                return None
+        except Exception as e:
+            print(e)
+            return None
+
+    def get_all_models(self) -> List[ModelModel]:
+        return [ModelModel(**model_to_dict(model)) for model in Model.select()]
+
+    def get_model_by_id(self, id: str) -> Optional[ModelModel]:
+        try:
+            model = Model.get(Model.id == id)
+            return ModelModel(**model_to_dict(model))
+        except:
+            return None
+
+    def update_model_by_id(self, id: str, model: ModelForm) -> Optional[ModelModel]:
+        try:
+            # update only the fields that are present in the model
+            query = Model.update(**model.model_dump()).where(Model.id == id)
+            query.execute()
+
+            model = Model.get(Model.id == id)
+            return ModelModel(**model_to_dict(model))
+        except Exception as e:
+            print(e)
+
+            return None
+
+    def delete_model_by_id(self, id: str) -> bool:
+        try:
+            query = Model.delete().where(Model.id == id)
+            query.execute()
+            return True
+        except:
+            return False
+
+
+Models = ModelsTable(DB)

backend/apps/webui/models/prompts.py

@@ -7,7 +7,7 @@ import time
 from utils.utils import decode_token
 from utils.misc import get_gravatar_url
 
-from apps.web.internal.db import DB
+from apps.webui.internal.db import DB
 
 import json
 
@@ -19,9 +19,9 @@ import json
 class Prompt(Model):
     command = CharField(unique=True)
     user_id = CharField()
-    title = CharField()
+    title = TextField()
     content = TextField()
-    timestamp = DateField()
+    timestamp = BigIntegerField()
 
     class Meta:
         database = DB

backend/apps/webui/models/tags.py

@@ -8,7 +8,7 @@ import uuid
 import time
 import logging
 
-from apps.web.internal.db import DB
+from apps.webui.internal.db import DB
 
 from config import SRC_LOG_LEVELS
 
@@ -35,7 +35,7 @@ class ChatIdTag(Model):
     tag_name = CharField()
     chat_id = CharField()
     user_id = CharField()
-    timestamp = DateField()
+    timestamp = BigIntegerField()
 
     class Meta:
         database = DB

backend/apps/webui/models/users.py

@@ -1,12 +1,12 @@
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 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
+from apps.webui.internal.db import DB, JSONField
+from apps.webui.models.chats import Chats
 
 ####################
 # User DB Schema
@@ -18,22 +18,38 @@ class User(Model):
     name = CharField()
     email = CharField()
     role = CharField()
-    profile_image_url = CharField()
-    timestamp = DateField()
+    profile_image_url = TextField()
+
+    last_active_at = BigIntegerField()
+    updated_at = BigIntegerField()
+    created_at = BigIntegerField()
+
     api_key = CharField(null=True, unique=True)
+    settings = JSONField(null=True)
 
     class Meta:
         database = DB
 
 
+class UserSettings(BaseModel):
+    ui: Optional[dict] = {}
+    model_config = ConfigDict(extra="allow")
+    pass
+
+
 class UserModel(BaseModel):
     id: str
     name: str
     email: str
     role: str = "pending"
     profile_image_url: str
-    timestamp: int  # timestamp in epoch
+
+    last_active_at: int  # timestamp in epoch
+    updated_at: int  # timestamp in epoch
+    created_at: int  # timestamp in epoch
+
     api_key: Optional[str] = None
+    settings: Optional[UserSettings] = None
 
 
 ####################
@@ -73,7 +89,9 @@ class UsersTable:
                 "email": email,
                 "role": role,
                 "profile_image_url": profile_image_url,
-                "timestamp": int(time.time()),
+                "last_active_at": int(time.time()),
+                "created_at": int(time.time()),
+                "updated_at": int(time.time()),
             }
         )
         result = User.create(**user.model_dump())
@@ -113,6 +131,13 @@ class UsersTable:
     def get_num_users(self) -> Optional[int]:
         return User.select().count()
 
+    def get_first_user(self) -> UserModel:
+        try:
+            user = User.select().order_by(User.created_at).first()
+            return UserModel(**model_to_dict(user))
+        except:
+            return None
+
     def update_user_role_by_id(self, id: str, role: str) -> Optional[UserModel]:
         try:
             query = User.update(role=role).where(User.id == id)
@@ -137,6 +162,16 @@ class UsersTable:
         except:
             return None
 
+    def update_user_last_active_by_id(self, id: str) -> Optional[UserModel]:
+        try:
+            query = User.update(last_active_at=int(time.time())).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)

backend/apps/webui/routers/auths.py

@@ -1,14 +1,19 @@
-from fastapi import Request
+import logging
+
+from fastapi import Request, UploadFile, File
 from fastapi import Depends, HTTPException, status
 
 from fastapi import APIRouter
 from pydantic import BaseModel
 import re
 import uuid
+import csv
 
-from apps.web.models.auths import (
+
+from apps.webui.models.auths import (
     SigninForm,
     SignupForm,
+    AddUserForm,
     UpdateProfileForm,
     UpdatePasswordForm,
     UserResponse,
@@ -16,7 +21,7 @@ from apps.web.models.auths import (
     Auths,
     ApiKey,
 )
-from apps.web.models.users import Users
+from apps.webui.models.users import Users
 
 from utils.utils import (
     get_password_hash,
@@ -28,7 +33,7 @@ from utils.utils import (
 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
+from config import WEBUI_AUTH, WEBUI_AUTH_TRUSTED_EMAIL_HEADER
 
 router = APIRouter()
 
@@ -113,13 +118,29 @@ async def signin(request: Request, form_data: SigninForm):
                 ),
             )
         user = Auths.authenticate_user_by_trusted_header(trusted_email)
+    elif WEBUI_AUTH == False:
+        admin_email = "admin@localhost"
+        admin_password = "admin"
+
+        if Users.get_user_by_email(admin_email.lower()):
+            user = Auths.authenticate_user(admin_email.lower(), admin_password)
+        else:
+            if Users.get_num_users() != 0:
+                raise HTTPException(400, detail=ERROR_MESSAGES.EXISTING_USERS)
+
+            await signup(
+                request,
+                SignupForm(email=admin_email, password=admin_password, name="User"),
+            )
+
+            user = Auths.authenticate_user(admin_email.lower(), admin_password)
     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),
+            expires_delta=parse_duration(request.app.state.config.JWT_EXPIRES_IN),
         )
 
         return {
@@ -142,7 +163,7 @@ async def signin(request: Request, form_data: SigninForm):
 
 @router.post("/signup", response_model=SigninResponse)
 async def signup(request: Request, form_data: SignupForm):
-    if not request.app.state.ENABLE_SIGNUP:
+    if not request.app.state.config.ENABLE_SIGNUP and WEBUI_AUTH:
         raise HTTPException(
             status.HTTP_403_FORBIDDEN, detail=ERROR_MESSAGES.ACCESS_PROHIBITED
         )
@@ -159,7 +180,7 @@ async def signup(request: Request, form_data: SignupForm):
         role = (
             "admin"
             if Users.get_num_users() == 0
-            else request.app.state.DEFAULT_USER_ROLE
+            else request.app.state.config.DEFAULT_USER_ROLE
         )
         hashed = get_password_hash(form_data.password)
         user = Auths.insert_new_auth(
@@ -173,13 +194,13 @@ async def signup(request: Request, form_data: SignupForm):
         if user:
             token = create_token(
                 data={"id": user.id},
-                expires_delta=parse_duration(request.app.state.JWT_EXPIRES_IN),
+                expires_delta=parse_duration(request.app.state.config.JWT_EXPIRES_IN),
             )
             # response.set_cookie(key='token', value=token, httponly=True)
 
-            if request.app.state.WEBHOOK_URL:
+            if request.app.state.config.WEBHOOK_URL:
                 post_webhook(
-                    request.app.state.WEBHOOK_URL,
+                    request.app.state.config.WEBHOOK_URL,
                     WEBHOOK_MESSAGES.USER_SIGNUP(user.name),
                     {
                         "action": "signup",
@@ -203,6 +224,51 @@ async def signup(request: Request, form_data: SignupForm):
         raise HTTPException(500, detail=ERROR_MESSAGES.DEFAULT(err))
 
 
+############################
+# AddUser
+############################
+
+
+@router.post("/add", response_model=SigninResponse)
+async def add_user(form_data: AddUserForm, user=Depends(get_admin_user)):
+
+    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:
+
+        print(form_data)
+        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,
+            form_data.role,
+        )
+
+        if user:
+            token = create_token(data={"id": user.id})
+            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
 ############################
@@ -210,13 +276,13 @@ async def signup(request: Request, form_data: SignupForm):
 
 @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
+    return request.app.state.config.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
+    request.app.state.config.ENABLE_SIGNUP = not request.app.state.config.ENABLE_SIGNUP
+    return request.app.state.config.ENABLE_SIGNUP
 
 
 ############################
@@ -226,7 +292,7 @@ async def toggle_sign_up(request: Request, user=Depends(get_admin_user)):
 
 @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
+    return request.app.state.config.DEFAULT_USER_ROLE
 
 
 class UpdateRoleForm(BaseModel):
@@ -238,8 +304,8 @@ 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
+        request.app.state.config.DEFAULT_USER_ROLE = form_data.role
+    return request.app.state.config.DEFAULT_USER_ROLE
 
 
 ############################
@@ -249,7 +315,7 @@ async def update_default_user_role(
 
 @router.get("/token/expires")
 async def get_token_expires_duration(request: Request, user=Depends(get_admin_user)):
-    return request.app.state.JWT_EXPIRES_IN
+    return request.app.state.config.JWT_EXPIRES_IN
 
 
 class UpdateJWTExpiresDurationForm(BaseModel):
@@ -266,10 +332,10 @@ async def update_token_expires_duration(
 
     # 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
+        request.app.state.config.JWT_EXPIRES_IN = form_data.duration
+        return request.app.state.config.JWT_EXPIRES_IN
     else:
-        return request.app.state.JWT_EXPIRES_IN
+        return request.app.state.config.JWT_EXPIRES_IN
 
 
 ############################

backend/apps/webui/routers/chats.py

@@ -7,8 +7,8 @@ from pydantic import BaseModel
 import json
 import logging
 
-from apps.web.models.users import Users
-from apps.web.models.chats import (
+from apps.webui.models.users import Users
+from apps.webui.models.chats import (
     ChatModel,
     ChatResponse,
     ChatTitleForm,
@@ -18,7 +18,7 @@ from apps.web.models.chats import (
 )
 
 
-from apps.web.models.tags import (
+from apps.webui.models.tags import (
     TagModel,
     ChatIdTagModel,
     ChatIdTagForm,
@@ -36,58 +36,51 @@ log.setLevel(SRC_LOG_LEVELS["MODELS"])
 router = APIRouter()
 
 ############################
-# GetChats
+# GetChatList
 ############################
 
 
 @router.get("/", response_model=List[ChatTitleIdResponse])
-async def get_user_chats(
+@router.get("/list", response_model=List[ChatTitleIdResponse])
+async def get_session_user_chat_list(
     user=Depends(get_current_user), skip: int = 0, limit: int = 50
 ):
-    return Chats.get_chat_lists_by_user_id(user.id, skip, limit)
+    return Chats.get_chat_list_by_user_id(user.id, skip, limit)
 
 
 ############################
-# GetArchivedChats
+# DeleteAllChats
 ############################
 
 
-@router.get("/archived", response_model=List[ChatTitleIdResponse])
-async def get_archived_user_chats(
-    user=Depends(get_current_user), skip: int = 0, limit: int = 50
-):
-    return Chats.get_archived_chat_lists_by_user_id(user.id, skip, limit)
+@router.delete("/", response_model=bool)
+async def delete_all_user_chats(request: Request, user=Depends(get_current_user)):
 
-
-############################
-# GetAllChats
-############################
-
-
-@router.get("/all", response_model=List[ChatResponse])
-async def get_all_user_chats(user=Depends(get_current_user)):
-    return [
-        ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
-        for chat in Chats.get_all_chats_by_user_id(user.id)
-    ]
-
-
-############################
-# GetAllChatsInDB
-############################
-
-
-@router.get("/all/db", response_model=List[ChatResponse])
-async def get_all_user_chats_in_db(user=Depends(get_admin_user)):
-    if not ENABLE_ADMIN_EXPORT:
+    if (
+        user.role == "user"
+        and not request.app.state.config.USER_PERMISSIONS["chat"]["deletion"]
+    ):
         raise HTTPException(
             status_code=status.HTTP_401_UNAUTHORIZED,
             detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
         )
-    return [
-        ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
-        for chat in Chats.get_all_chats()
-    ]
+
+    result = Chats.delete_chats_by_user_id(user.id)
+    return result
+
+
+############################
+# GetUserChatList
+############################
+
+
+@router.get("/list/user/{user_id}", response_model=List[ChatTitleIdResponse])
+async def get_user_chat_list_by_user_id(
+    user_id: str, user=Depends(get_admin_user), skip: int = 0, limit: int = 50
+):
+    return Chats.get_chat_list_by_user_id(
+        user_id, include_archived=True, skip=skip, limit=limit
+    )
 
 
 ############################
@@ -107,6 +100,116 @@ async def create_new_chat(form_data: ChatForm, user=Depends(get_current_user)):
         )
 
 
+############################
+# GetChats
+############################
+
+
+@router.get("/all", response_model=List[ChatResponse])
+async def get_user_chats(user=Depends(get_current_user)):
+    return [
+        ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
+        for chat in Chats.get_chats_by_user_id(user.id)
+    ]
+
+
+############################
+# GetAllChatsInDB
+############################
+
+
+@router.get("/all/db", response_model=List[ChatResponse])
+async def get_all_user_chats_in_db(user=Depends(get_admin_user)):
+    if not ENABLE_ADMIN_EXPORT:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
+        )
+    return [
+        ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
+        for chat in Chats.get_chats()
+    ]
+
+
+############################
+# GetArchivedChats
+############################
+
+
+@router.get("/archived", response_model=List[ChatTitleIdResponse])
+async def get_archived_session_user_chat_list(
+    user=Depends(get_current_user), skip: int = 0, limit: int = 50
+):
+    return Chats.get_archived_chat_list_by_user_id(user.id, skip, limit)
+
+
+############################
+# ArchiveAllChats
+############################
+
+
+@router.post("/archive/all", response_model=List[ChatTitleIdResponse])
+async def archive_all_chats(user=Depends(get_current_user)):
+    return Chats.archive_all_chats_by_user_id(user.id)
+
+
+############################
+# GetSharedChatById
+############################
+
+
+@router.get("/share/{share_id}", response_model=Optional[ChatResponse])
+async def get_shared_chat_by_id(share_id: str, user=Depends(get_current_user)):
+    if user.role == "pending":
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND
+        )
+
+    if user.role == "user":
+        chat = Chats.get_chat_by_share_id(share_id)
+    elif user.role == "admin":
+        chat = Chats.get_chat_by_id(share_id)
+
+    if chat:
+        return ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND
+        )
+
+
+############################
+# GetChatsByTags
+############################
+
+
+class TagNameForm(BaseModel):
+    name: str
+    skip: Optional[int] = 0
+    limit: Optional[int] = 50
+
+
+@router.post("/tags", response_model=List[ChatTitleIdResponse])
+async def get_user_chat_list_by_tag_name(
+    form_data: TagNameForm, user=Depends(get_current_user)
+):
+
+    print(form_data)
+    chat_ids = [
+        chat_id_tag.chat_id
+        for chat_id_tag in Tags.get_chat_ids_by_tag_name_and_user_id(
+            form_data.name, user.id
+        )
+    ]
+
+    chats = Chats.get_chat_list_by_chat_ids(chat_ids, form_data.skip, form_data.limit)
+
+    if len(chats) == 0:
+        Tags.delete_tag_by_tag_name_and_user_id(form_data.name, user.id)
+
+    return chats
+
+
 ############################
 # GetAllTags
 ############################
@@ -124,28 +227,6 @@ async def get_all_tags(user=Depends(get_current_user)):
         )
 
 
-############################
-# GetChatsByTags
-############################
-
-
-@router.get("/tags/tag/{tag_name}", response_model=List[ChatTitleIdResponse])
-async def get_user_chats_by_tag_name(
-    tag_name: str, user=Depends(get_current_user), skip: int = 0, limit: int = 50
-):
-    chat_ids = [
-        chat_id_tag.chat_id
-        for chat_id_tag in Tags.get_chat_ids_by_tag_name_and_user_id(tag_name, user.id)
-    ]
-
-    chats = Chats.get_chat_lists_by_chat_ids(chat_ids, skip, limit)
-
-    if len(chats) == 0:
-        Tags.delete_tag_by_tag_name_and_user_id(tag_name, user.id)
-
-    return chats
-
-
 ############################
 # GetChatById
 ############################
@@ -193,17 +274,44 @@ async def update_chat_by_id(
 @router.delete("/{id}", response_model=bool)
 async def delete_chat_by_id(request: Request, id: str, user=Depends(get_current_user)):
 
-    if (
-        user.role == "user"
-        and not request.app.state.USER_PERMISSIONS["chat"]["deletion"]
-    ):
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
-        )
+    if user.role == "admin":
+        result = Chats.delete_chat_by_id(id)
+        return result
+    else:
+        if not request.app.state.config.USER_PERMISSIONS["chat"]["deletion"]:
+            raise HTTPException(
+                status_code=status.HTTP_401_UNAUTHORIZED,
+                detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
+            )
 
-    result = Chats.delete_chat_by_id_and_user_id(id, user.id)
-    return result
+        result = Chats.delete_chat_by_id_and_user_id(id, user.id)
+        return result
+
+
+############################
+# CloneChat
+############################
+
+
+@router.get("/{id}/clone", response_model=Optional[ChatResponse])
+async def clone_chat_by_id(id: str, user=Depends(get_current_user)):
+    chat = Chats.get_chat_by_id_and_user_id(id, user.id)
+    if chat:
+
+        chat_body = json.loads(chat.chat)
+        updated_chat = {
+            **chat_body,
+            "originalChatId": chat.id,
+            "branchPointMessageId": chat_body["history"]["currentId"],
+            "title": f"Clone of {chat.title}",
+        }
+
+        chat = Chats.insert_new_chat(user.id, ChatForm(**{"chat": updated_chat}))
+        return ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.DEFAULT()
+        )
 
 
 ############################
@@ -278,31 +386,6 @@ async def delete_shared_chat_by_id(id: str, user=Depends(get_current_user)):
         )
 
 
-############################
-# GetSharedChatById
-############################
-
-
-@router.get("/share/{share_id}", response_model=Optional[ChatResponse])
-async def get_shared_chat_by_id(share_id: str, user=Depends(get_current_user)):
-    if user.role == "pending":
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND
-        )
-
-    if user.role == "user":
-        chat = Chats.get_chat_by_share_id(share_id)
-    elif user.role == "admin":
-        chat = Chats.get_chat_by_id(share_id)
-
-    if chat:
-        return ChatResponse(**{**chat.model_dump(), "chat": json.loads(chat.chat)})
-    else:
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND
-        )
-
-
 ############################
 # GetChatTagsById
 ############################
@@ -383,24 +466,3 @@ async def delete_all_chat_tags_by_id(id: str, user=Depends(get_current_user)):
         raise HTTPException(
             status_code=status.HTTP_401_UNAUTHORIZED, detail=ERROR_MESSAGES.NOT_FOUND
         )
-
-
-############################
-# DeleteAllChats
-############################
-
-
-@router.delete("/", response_model=bool)
-async def delete_all_user_chats(request: Request, user=Depends(get_current_user)):
-
-    if (
-        user.role == "user"
-        and not request.app.state.USER_PERMISSIONS["chat"]["deletion"]
-    ):
-        raise HTTPException(
-            status_code=status.HTTP_401_UNAUTHORIZED,
-            detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
-        )
-
-    result = Chats.delete_chats_by_user_id(user.id)
-    return result

backend/apps/webui/routers/configs.py

@@ -8,7 +8,9 @@ from pydantic import BaseModel
 import time
 import uuid
 
-from apps.web.models.users import Users
+from config import BannerModel
+
+from apps.webui.models.users import Users
 
 from utils.utils import (
     get_password_hash,
@@ -44,8 +46,8 @@ class SetDefaultSuggestionsForm(BaseModel):
 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
+    request.app.state.config.DEFAULT_MODELS = form_data.models
+    return request.app.state.config.DEFAULT_MODELS
 
 
 @router.post("/default/suggestions", response_model=List[PromptSuggestion])
@@ -55,5 +57,33 @@ async def set_global_default_suggestions(
     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
+    request.app.state.config.DEFAULT_PROMPT_SUGGESTIONS = data["suggestions"]
+    return request.app.state.config.DEFAULT_PROMPT_SUGGESTIONS
+
+
+############################
+# SetBanners
+############################
+
+
+class SetBannersForm(BaseModel):
+    banners: List[BannerModel]
+
+
+@router.post("/banners", response_model=List[BannerModel])
+async def set_banners(
+    request: Request,
+    form_data: SetBannersForm,
+    user=Depends(get_admin_user),
+):
+    data = form_data.model_dump()
+    request.app.state.config.BANNERS = data["banners"]
+    return request.app.state.config.BANNERS
+
+
+@router.get("/banners", response_model=List[BannerModel])
+async def get_banners(
+    request: Request,
+    user=Depends(get_current_user),
+):
+    return request.app.state.config.BANNERS

backend/apps/webui/routers/documents.py

@@ -6,7 +6,7 @@ from fastapi import APIRouter
 from pydantic import BaseModel
 import json
 
-from apps.web.models.documents import (
+from apps.webui.models.documents import (
     Documents,
     DocumentForm,
     DocumentUpdateForm,

backend/apps/webui/routers/memories.py

@@ -0,0 +1,145 @@
+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 logging
+
+from apps.webui.models.memories import Memories, MemoryModel
+
+from utils.utils import get_verified_user
+from constants import ERROR_MESSAGES
+
+from config import SRC_LOG_LEVELS, CHROMA_CLIENT
+
+log = logging.getLogger(__name__)
+log.setLevel(SRC_LOG_LEVELS["MODELS"])
+
+router = APIRouter()
+
+
+@router.get("/ef")
+async def get_embeddings(request: Request):
+    return {"result": request.app.state.EMBEDDING_FUNCTION("hello world")}
+
+
+############################
+# GetMemories
+############################
+
+
+@router.get("/", response_model=List[MemoryModel])
+async def get_memories(user=Depends(get_verified_user)):
+    return Memories.get_memories_by_user_id(user.id)
+
+
+############################
+# AddMemory
+############################
+
+
+class AddMemoryForm(BaseModel):
+    content: str
+
+
+@router.post("/add", response_model=Optional[MemoryModel])
+async def add_memory(
+    request: Request, form_data: AddMemoryForm, user=Depends(get_verified_user)
+):
+    memory = Memories.insert_new_memory(user.id, form_data.content)
+    memory_embedding = request.app.state.EMBEDDING_FUNCTION(memory.content)
+
+    collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
+    collection.upsert(
+        documents=[memory.content],
+        ids=[memory.id],
+        embeddings=[memory_embedding],
+        metadatas=[{"created_at": memory.created_at}],
+    )
+
+    return memory
+
+
+############################
+# QueryMemory
+############################
+
+
+class QueryMemoryForm(BaseModel):
+    content: str
+
+
+@router.post("/query")
+async def query_memory(
+    request: Request, form_data: QueryMemoryForm, user=Depends(get_verified_user)
+):
+    query_embedding = request.app.state.EMBEDDING_FUNCTION(form_data.content)
+    collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
+
+    results = collection.query(
+        query_embeddings=[query_embedding],
+        n_results=1,  # how many results to return
+    )
+
+    return results
+
+
+############################
+# ResetMemoryFromVectorDB
+############################
+@router.get("/reset", response_model=bool)
+async def reset_memory_from_vector_db(
+    request: Request, user=Depends(get_verified_user)
+):
+    CHROMA_CLIENT.delete_collection(f"user-memory-{user.id}")
+    collection = CHROMA_CLIENT.get_or_create_collection(name=f"user-memory-{user.id}")
+
+    memories = Memories.get_memories_by_user_id(user.id)
+    for memory in memories:
+        memory_embedding = request.app.state.EMBEDDING_FUNCTION(memory.content)
+        collection.upsert(
+            documents=[memory.content],
+            ids=[memory.id],
+            embeddings=[memory_embedding],
+        )
+    return True
+
+
+############################
+# DeleteMemoriesByUserId
+############################
+
+
+@router.delete("/user", response_model=bool)
+async def delete_memory_by_user_id(user=Depends(get_verified_user)):
+    result = Memories.delete_memories_by_user_id(user.id)
+
+    if result:
+        try:
+            CHROMA_CLIENT.delete_collection(f"user-memory-{user.id}")
+        except Exception as e:
+            log.error(e)
+        return True
+
+    return False
+
+
+############################
+# DeleteMemoryById
+############################
+
+
+@router.delete("/{memory_id}", response_model=bool)
+async def delete_memory_by_id(memory_id: str, user=Depends(get_verified_user)):
+    result = Memories.delete_memory_by_id_and_user_id(memory_id, user.id)
+
+    if result:
+        collection = CHROMA_CLIENT.get_or_create_collection(
+            name=f"user-memory-{user.id}"
+        )
+        collection.delete(ids=[memory_id])
+        return True
+
+    return False

backend/apps/webui/routers/models.py

@@ -0,0 +1,107 @@
+from fastapi import Depends, FastAPI, HTTPException, status, Request
+from datetime import datetime, timedelta
+from typing import List, Union, Optional
+
+from fastapi import APIRouter
+from pydantic import BaseModel
+import json
+from apps.webui.models.models import Models, ModelModel, ModelForm, ModelResponse
+
+from utils.utils import get_verified_user, get_admin_user
+from constants import ERROR_MESSAGES
+
+router = APIRouter()
+
+###########################
+# getModels
+###########################
+
+
+@router.get("/", response_model=List[ModelResponse])
+async def get_models(user=Depends(get_verified_user)):
+    return Models.get_all_models()
+
+
+############################
+# AddNewModel
+############################
+
+
+@router.post("/add", response_model=Optional[ModelModel])
+async def add_new_model(
+    request: Request, form_data: ModelForm, user=Depends(get_admin_user)
+):
+    if form_data.id in request.app.state.MODELS:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail=ERROR_MESSAGES.MODEL_ID_TAKEN,
+        )
+    else:
+        model = Models.insert_new_model(form_data, user.id)
+
+        if model:
+            return model
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_401_UNAUTHORIZED,
+                detail=ERROR_MESSAGES.DEFAULT(),
+            )
+
+
+############################
+# GetModelById
+############################
+
+
+@router.get("/", response_model=Optional[ModelModel])
+async def get_model_by_id(id: str, user=Depends(get_verified_user)):
+    model = Models.get_model_by_id(id)
+
+    if model:
+        return model
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_401_UNAUTHORIZED,
+            detail=ERROR_MESSAGES.NOT_FOUND,
+        )
+
+
+############################
+# UpdateModelById
+############################
+
+
+@router.post("/update", response_model=Optional[ModelModel])
+async def update_model_by_id(
+    request: Request, id: str, form_data: ModelForm, user=Depends(get_admin_user)
+):
+    model = Models.get_model_by_id(id)
+    if model:
+        model = Models.update_model_by_id(id, form_data)
+        return model
+    else:
+        if form_data.id in request.app.state.MODELS:
+            model = Models.insert_new_model(form_data, user.id)
+            if model:
+                return model
+            else:
+                raise HTTPException(
+                    status_code=status.HTTP_401_UNAUTHORIZED,
+                    detail=ERROR_MESSAGES.DEFAULT(),
+                )
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_401_UNAUTHORIZED,
+                detail=ERROR_MESSAGES.DEFAULT(),
+            )
+
+
+############################
+# DeleteModelById
+############################
+
+
+@router.delete("/delete", response_model=bool)
+async def delete_model_by_id(id: str, user=Depends(get_admin_user)):
+    result = Models.delete_model_by_id(id)
+    return result

backend/apps/webui/routers/prompts.py

@@ -6,7 +6,7 @@ from fastapi import APIRouter
 from pydantic import BaseModel
 import json
 
-from apps.web.models.prompts import Prompts, PromptForm, PromptModel
+from apps.webui.models.prompts import Prompts, PromptForm, PromptModel
 
 from utils.utils import get_current_user, get_admin_user
 from constants import ERROR_MESSAGES

backend/apps/webui/routers/users.py

@@ -9,10 +9,17 @@ import time
 import uuid
 import logging
 
-from apps.web.models.users import UserModel, UserUpdateForm, UserRoleUpdateForm, Users
-from apps.web.models.auths import Auths
+from apps.webui.models.users import (
+    UserModel,
+    UserUpdateForm,
+    UserRoleUpdateForm,
+    UserSettings,
+    Users,
+)
+from apps.webui.models.auths import Auths
+from apps.webui.models.chats import Chats
 
-from utils.utils import get_current_user, get_password_hash, get_admin_user
+from utils.utils import get_verified_user, get_password_hash, get_admin_user
 from constants import ERROR_MESSAGES
 
 from config import SRC_LOG_LEVELS
@@ -39,15 +46,15 @@ async def get_users(skip: int = 0, limit: int = 50, user=Depends(get_admin_user)
 
 @router.get("/permissions/user")
 async def get_user_permissions(request: Request, user=Depends(get_admin_user)):
-    return request.app.state.USER_PERMISSIONS
+    return request.app.state.config.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
+    request.app.state.config.USER_PERMISSIONS = form_data
+    return request.app.state.config.USER_PERMISSIONS
 
 
 ############################
@@ -58,7 +65,7 @@ async def update_user_permissions(
 @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:
+    if user.id != form_data.id and form_data.id != Users.get_first_user().id:
         return Users.update_user_role_by_id(form_data.id, form_data.role)
 
     raise HTTPException(
@@ -67,6 +74,79 @@ async def update_user_role(form_data: UserRoleUpdateForm, user=Depends(get_admin
     )
 
 
+############################
+# GetUserSettingsBySessionUser
+############################
+
+
+@router.get("/user/settings", response_model=Optional[UserSettings])
+async def get_user_settings_by_session_user(user=Depends(get_verified_user)):
+    user = Users.get_user_by_id(user.id)
+    if user:
+        return user.settings
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.USER_NOT_FOUND,
+        )
+
+
+############################
+# UpdateUserSettingsBySessionUser
+############################
+
+
+@router.post("/user/settings/update", response_model=UserSettings)
+async def update_user_settings_by_session_user(
+    form_data: UserSettings, user=Depends(get_verified_user)
+):
+    user = Users.update_user_by_id(user.id, {"settings": form_data.model_dump()})
+    if user:
+        return user.settings
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.USER_NOT_FOUND,
+        )
+
+
+############################
+# GetUserById
+############################
+
+
+class UserResponse(BaseModel):
+    name: str
+    profile_image_url: str
+
+
+@router.get("/{user_id}", response_model=UserResponse)
+async def get_user_by_id(user_id: str, user=Depends(get_verified_user)):
+
+    # Check if user_id is a shared chat
+    # If it is, get the user_id from the chat
+    if user_id.startswith("shared-"):
+        chat_id = user_id.replace("shared-", "")
+        chat = Chats.get_chat_by_id(chat_id)
+        if chat:
+            user_id = chat.user_id
+        else:
+            raise HTTPException(
+                status_code=status.HTTP_400_BAD_REQUEST,
+                detail=ERROR_MESSAGES.USER_NOT_FOUND,
+            )
+
+    user = Users.get_user_by_id(user_id)
+
+    if user:
+        return UserResponse(name=user.name, profile_image_url=user.profile_image_url)
+    else:
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.USER_NOT_FOUND,
+        )
+
+
 ############################
 # UpdateUserById
 ############################

backend/apps/webui/routers/utils.py

@@ -1,5 +1,6 @@
 from fastapi import APIRouter, UploadFile, File, Response
 from fastapi import Depends, HTTPException, status
+from peewee import SqliteDatabase
 from starlette.responses import StreamingResponse, FileResponse
 from pydantic import BaseModel
 
@@ -7,11 +8,11 @@ from pydantic import BaseModel
 from fpdf import FPDF
 import markdown
 
-
+from apps.webui.internal.db import DB
 from utils.utils import get_admin_user
 from utils.misc import calculate_sha256, get_gravatar_url
 
-from config import OLLAMA_BASE_URLS, DATA_DIR, UPLOAD_DIR
+from config import OLLAMA_BASE_URLS, DATA_DIR, UPLOAD_DIR, ENABLE_ADMIN_EXPORT
 from constants import ERROR_MESSAGES
 from typing import List
 
@@ -96,8 +97,22 @@ async def download_db(user=Depends(get_admin_user)):
             status_code=status.HTTP_401_UNAUTHORIZED,
             detail=ERROR_MESSAGES.ACCESS_PROHIBITED,
         )
+    if not isinstance(DB, SqliteDatabase):
+        raise HTTPException(
+            status_code=status.HTTP_400_BAD_REQUEST,
+            detail=ERROR_MESSAGES.DB_NOT_SQLITE,
+        )
     return FileResponse(
-        f"{DATA_DIR}/webui.db",
+        DB.database,
         media_type="application/octet-stream",
         filename="webui.db",
     )
+
+
+@router.get("/litellm/config")
+async def download_litellm_config_yaml(user=Depends(get_admin_user)):
+    return FileResponse(
+        f"{DATA_DIR}/litellm/config.yaml",
+        media_type="application/octet-stream",
+        filename="config.yaml",
+    )

backend/config.py

@@ -1,10 +1,15 @@
 import os
 import sys
 import logging
+import importlib.metadata
+import pkgutil
 import chromadb
 from chromadb import Settings
 from base64 import b64encode
 from bs4 import BeautifulSoup
+from typing import TypeVar, Generic, Union
+from pydantic import BaseModel
+from typing import Optional
 
 from pathlib import Path
 import json
@@ -17,6 +22,22 @@ import shutil
 from secrets import token_bytes
 from constants import ERROR_MESSAGES
 
+####################################
+# Load .env file
+####################################
+
+BACKEND_DIR = Path(__file__).parent  # the path containing this file
+BASE_DIR = BACKEND_DIR.parent  # the path containing the backend/
+
+print(BASE_DIR)
+
+try:
+    from dotenv import load_dotenv, find_dotenv
+
+    load_dotenv(find_dotenv(str(BASE_DIR / ".env")))
+except ImportError:
+    print("dotenv not installed, skipping...")
+
 
 ####################################
 # LOGGING
@@ -39,7 +60,6 @@ log_sources = [
     "CONFIG",
     "DB",
     "IMAGES",
-    "LITELLM",
     "MAIN",
     "MODELS",
     "OLLAMA",
@@ -59,20 +79,15 @@ for source in log_sources:
 
 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")
+if WEBUI_NAME != "Open WebUI":
+    WEBUI_NAME += " (Open WebUI)"
+
+WEBUI_URL = os.environ.get("WEBUI_URL", "http://localhost:3000")
+
 WEBUI_FAVICON_URL = "https://openwebui.com/favicon.png"
 
+
 ####################################
 # ENV (dev,test,prod)
 ####################################
@@ -80,10 +95,12 @@ WEBUI_FAVICON_URL = "https://openwebui.com/favicon.png"
 ENV = os.environ.get("ENV", "dev")
 
 try:
-    with open(f"../package.json", "r") as f:
-        PACKAGE_DATA = json.load(f)
+    PACKAGE_DATA = json.loads((BASE_DIR / "package.json").read_text())
 except:
-    PACKAGE_DATA = {"version": "0.0.0"}
+    try:
+        PACKAGE_DATA = {"version": importlib.metadata.version("open-webui")}
+    except importlib.metadata.PackageNotFoundError:
+        PACKAGE_DATA = {"version": "0.0.0"}
 
 VERSION = PACKAGE_DATA["version"]
 
@@ -108,10 +125,13 @@ def parse_section(section):
 
 
 try:
-    with open("../CHANGELOG.md", "r") as file:
+    changelog_path = BASE_DIR / "CHANGELOG.md"
+    with open(str(changelog_path.absolute()), "r", encoding="utf8") as file:
         changelog_content = file.read()
+
 except:
-    changelog_content = ""
+    changelog_content = (pkgutil.get_data("open_webui", "CHANGELOG.md") or b"").decode()
+
 
 # Convert markdown content to HTML
 html_content = markdown.markdown(changelog_content)
@@ -146,26 +166,149 @@ for version in soup.find_all("h2"):
 
 CHANGELOG = changelog_json
 
+
+####################################
+# WEBUI_BUILD_HASH
+####################################
+
+WEBUI_BUILD_HASH = os.environ.get("WEBUI_BUILD_HASH", "dev-build")
+
 ####################################
 # 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")))
+DATA_DIR = Path(os.getenv("DATA_DIR", BACKEND_DIR / "data")).resolve()
+FRONTEND_BUILD_DIR = Path(os.getenv("FRONTEND_BUILD_DIR", BASE_DIR / "build")).resolve()
+
+RESET_CONFIG_ON_START = (
+    os.environ.get("RESET_CONFIG_ON_START", "False").lower() == "true"
+)
+if RESET_CONFIG_ON_START:
+    try:
+        os.remove(f"{DATA_DIR}/config.json")
+        with open(f"{DATA_DIR}/config.json", "w") as f:
+            f.write("{}")
+    except:
+        pass
 
 try:
-    with open(f"{DATA_DIR}/config.json", "r") as f:
-        CONFIG_DATA = json.load(f)
+    CONFIG_DATA = json.loads((DATA_DIR / "config.json").read_text())
 except:
     CONFIG_DATA = {}
 
+
+####################################
+# Config helpers
+####################################
+
+
+def save_config():
+    try:
+        with open(f"{DATA_DIR}/config.json", "w") as f:
+            json.dump(CONFIG_DATA, f, indent="\t")
+    except Exception as e:
+        log.exception(e)
+
+
+def get_config_value(config_path: str):
+    path_parts = config_path.split(".")
+    cur_config = CONFIG_DATA
+    for key in path_parts:
+        if key in cur_config:
+            cur_config = cur_config[key]
+        else:
+            return None
+    return cur_config
+
+
+T = TypeVar("T")
+
+
+class PersistentConfig(Generic[T]):
+    def __init__(self, env_name: str, config_path: str, env_value: T):
+        self.env_name = env_name
+        self.config_path = config_path
+        self.env_value = env_value
+        self.config_value = get_config_value(config_path)
+        if self.config_value is not None:
+            log.info(f"'{env_name}' loaded from config.json")
+            self.value = self.config_value
+        else:
+            self.value = env_value
+
+    def __str__(self):
+        return str(self.value)
+
+    @property
+    def __dict__(self):
+        raise TypeError(
+            "PersistentConfig object cannot be converted to dict, use config_get or .value instead."
+        )
+
+    def __getattribute__(self, item):
+        if item == "__dict__":
+            raise TypeError(
+                "PersistentConfig object cannot be converted to dict, use config_get or .value instead."
+            )
+        return super().__getattribute__(item)
+
+    def save(self):
+        # Don't save if the value is the same as the env value and the config value
+        if self.env_value == self.value:
+            if self.config_value == self.value:
+                return
+        log.info(f"Saving '{self.env_name}' to config.json")
+        path_parts = self.config_path.split(".")
+        config = CONFIG_DATA
+        for key in path_parts[:-1]:
+            if key not in config:
+                config[key] = {}
+            config = config[key]
+        config[path_parts[-1]] = self.value
+        save_config()
+        self.config_value = self.value
+
+
+class AppConfig:
+    _state: dict[str, PersistentConfig]
+
+    def __init__(self):
+        super().__setattr__("_state", {})
+
+    def __setattr__(self, key, value):
+        if isinstance(value, PersistentConfig):
+            self._state[key] = value
+        else:
+            self._state[key].value = value
+            self._state[key].save()
+
+    def __getattr__(self, key):
+        return self._state[key].value
+
+
+####################################
+# WEBUI_AUTH (Required for security)
+####################################
+
+WEBUI_AUTH = os.environ.get("WEBUI_AUTH", "True").lower() == "true"
+WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get(
+    "WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None
+)
+JWT_EXPIRES_IN = PersistentConfig(
+    "JWT_EXPIRES_IN", "auth.jwt_expiry", os.environ.get("JWT_EXPIRES_IN", "-1")
+)
+
 ####################################
 # Static DIR
 ####################################
 
-STATIC_DIR = str(Path(os.getenv("STATIC_DIR", "./static")).resolve())
+STATIC_DIR = Path(os.getenv("STATIC_DIR", BACKEND_DIR / "static")).resolve()
 
-shutil.copyfile(f"{FRONTEND_BUILD_DIR}/favicon.png", f"{STATIC_DIR}/favicon.png")
+frontend_favicon = FRONTEND_BUILD_DIR / "favicon.png"
+if frontend_favicon.exists():
+    shutil.copyfile(frontend_favicon, STATIC_DIR / "favicon.png")
+else:
+    logging.warning(f"Frontend favicon not found at {frontend_favicon}")
 
 ####################################
 # CUSTOM_NAME
@@ -195,9 +338,6 @@ if CUSTOM_NAME:
     except Exception as e:
         log.exception(e)
         pass
-else:
-    if WEBUI_NAME != "Open WebUI":
-        WEBUI_NAME += " (Open WebUI)"
 
 
 ####################################
@@ -220,7 +360,7 @@ Path(CACHE_DIR).mkdir(parents=True, exist_ok=True)
 # Docs DIR
 ####################################
 
-DOCS_DIR = f"{DATA_DIR}/docs"
+DOCS_DIR = os.getenv("DOCS_DIR", f"{DATA_DIR}/docs")
 Path(DOCS_DIR).mkdir(parents=True, exist_ok=True)
 
 
@@ -251,16 +391,23 @@ def create_config_file(file_path):
 
 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.")
+# 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
 ####################################
 
+
+ENABLE_OLLAMA_API = PersistentConfig(
+    "ENABLE_OLLAMA_API",
+    "ollama.enable",
+    os.environ.get("ENABLE_OLLAMA_API", "True").lower() == "true",
+)
+
 OLLAMA_API_BASE_URL = os.environ.get(
     "OLLAMA_API_BASE_URL", "http://localhost:11434/api"
 )
@@ -292,12 +439,22 @@ 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(";")]
-
+OLLAMA_BASE_URLS = PersistentConfig(
+    "OLLAMA_BASE_URLS", "ollama.base_urls", OLLAMA_BASE_URLS
+)
 
 ####################################
 # OPENAI_API
 ####################################
 
+
+ENABLE_OPENAI_API = PersistentConfig(
+    "ENABLE_OPENAI_API",
+    "openai.enable",
+    os.environ.get("ENABLE_OPENAI_API", "True").lower() == "true",
+)
+
+
 OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY", "")
 OPENAI_API_BASE_URL = os.environ.get("OPENAI_API_BASE_URL", "")
 
@@ -309,7 +466,9 @@ 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_KEYS = PersistentConfig(
+    "OPENAI_API_KEYS", "openai.api_keys", OPENAI_API_KEYS
+)
 
 OPENAI_API_BASE_URLS = os.environ.get("OPENAI_API_BASE_URLS", "")
 OPENAI_API_BASE_URLS = (
@@ -320,33 +479,42 @@ OPENAI_API_BASE_URLS = [
     url.strip() if url != "" else "https://api.openai.com/v1"
     for url in OPENAI_API_BASE_URLS.split(";")
 ]
+OPENAI_API_BASE_URLS = PersistentConfig(
+    "OPENAI_API_BASE_URLS", "openai.api_base_urls", OPENAI_API_BASE_URLS
+)
 
 OPENAI_API_KEY = ""
 
 try:
-    OPENAI_API_KEY = OPENAI_API_KEYS[
-        OPENAI_API_BASE_URLS.index("https://api.openai.com/v1")
+    OPENAI_API_KEY = OPENAI_API_KEYS.value[
+        OPENAI_API_BASE_URLS.value.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)
+ENABLE_SIGNUP = PersistentConfig(
+    "ENABLE_SIGNUP",
+    "ui.enable_signup",
+    (
+        False
+        if not WEBUI_AUTH
+        else os.environ.get("ENABLE_SIGNUP", "True").lower() == "true"
+    ),
+)
+DEFAULT_MODELS = PersistentConfig(
+    "DEFAULT_MODELS", "ui.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 [
+DEFAULT_PROMPT_SUGGESTIONS = PersistentConfig(
+    "DEFAULT_PROMPT_SUGGESTIONS",
+    "ui.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.",
@@ -363,40 +531,74 @@ DEFAULT_PROMPT_SUGGESTIONS = (
             "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.",
         },
-    ]
+        {
+            "title": [
+                "Explain options trading",
+                "if I'm familiar with buying and selling stocks",
+            ],
+            "content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks.",
+        },
+        {
+            "title": ["Overcome procrastination", "give me tips"],
+            "content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?",
+        },
+    ],
 )
 
-
-DEFAULT_USER_ROLE = os.getenv("DEFAULT_USER_ROLE", "pending")
+DEFAULT_USER_ROLE = PersistentConfig(
+    "DEFAULT_USER_ROLE",
+    "ui.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}}
+USER_PERMISSIONS = PersistentConfig(
+    "USER_PERMISSIONS",
+    "ui.user_permissions",
+    {"chat": {"deletion": USER_PERMISSIONS_CHAT_DELETION}},
+)
 
-
-MODEL_FILTER_ENABLED = os.environ.get("MODEL_FILTER_ENABLED", "False").lower() == "true"
+ENABLE_MODEL_FILTER = PersistentConfig(
+    "ENABLE_MODEL_FILTER",
+    "model_filter.enable",
+    os.environ.get("ENABLE_MODEL_FILTER", "False").lower() == "true",
+)
 MODEL_FILTER_LIST = os.environ.get("MODEL_FILTER_LIST", "")
-MODEL_FILTER_LIST = [model.strip() for model in MODEL_FILTER_LIST.split(";")]
+MODEL_FILTER_LIST = PersistentConfig(
+    "MODEL_FILTER_LIST",
+    "model_filter.list",
+    [model.strip() for model in MODEL_FILTER_LIST.split(";")],
+)
 
-WEBHOOK_URL = os.environ.get("WEBHOOK_URL", "")
+WEBHOOK_URL = PersistentConfig(
+    "WEBHOOK_URL", "webhook_url", os.environ.get("WEBHOOK_URL", "")
+)
 
 ENABLE_ADMIN_EXPORT = os.environ.get("ENABLE_ADMIN_EXPORT", "True").lower() == "true"
 
-####################################
-# WEBUI_VERSION
-####################################
+ENABLE_COMMUNITY_SHARING = PersistentConfig(
+    "ENABLE_COMMUNITY_SHARING",
+    "ui.enable_community_sharing",
+    os.environ.get("ENABLE_COMMUNITY_SHARING", "True").lower() == "true",
+)
 
-WEBUI_VERSION = os.environ.get("WEBUI_VERSION", "v1.0.0-alpha.100")
 
-####################################
-# WEBUI_AUTH (Required for security)
-####################################
+class BannerModel(BaseModel):
+    id: str
+    type: str
+    title: Optional[str] = None
+    content: str
+    dismissible: bool
+    timestamp: int
 
-WEBUI_AUTH = True
-WEBUI_AUTH_TRUSTED_EMAIL_HEADER = os.environ.get(
-    "WEBUI_AUTH_TRUSTED_EMAIL_HEADER", None
+
+WEBUI_BANNERS = PersistentConfig(
+    "WEBUI_BANNERS",
+    "ui.banners",
+    [BannerModel(**banner) for banner in json.loads("[]")],
 )
 
 ####################################
@@ -418,19 +620,105 @@ if WEBUI_AUTH and WEBUI_SECRET_KEY == "":
 ####################################
 
 CHROMA_DATA_PATH = f"{DATA_DIR}/vector_db"
+CHROMA_TENANT = os.environ.get("CHROMA_TENANT", chromadb.DEFAULT_TENANT)
+CHROMA_DATABASE = os.environ.get("CHROMA_DATABASE", chromadb.DEFAULT_DATABASE)
+CHROMA_HTTP_HOST = os.environ.get("CHROMA_HTTP_HOST", "")
+CHROMA_HTTP_PORT = int(os.environ.get("CHROMA_HTTP_PORT", "8000"))
+# Comma-separated list of header=value pairs
+CHROMA_HTTP_HEADERS = os.environ.get("CHROMA_HTTP_HEADERS", "")
+if CHROMA_HTTP_HEADERS:
+    CHROMA_HTTP_HEADERS = dict(
+        [pair.split("=") for pair in CHROMA_HTTP_HEADERS.split(",")]
+    )
+else:
+    CHROMA_HTTP_HEADERS = None
+CHROMA_HTTP_SSL = os.environ.get("CHROMA_HTTP_SSL", "false").lower() == "true"
 # 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"
+RAG_TOP_K = PersistentConfig(
+    "RAG_TOP_K", "rag.top_k", int(os.environ.get("RAG_TOP_K", "5"))
+)
+RAG_RELEVANCE_THRESHOLD = PersistentConfig(
+    "RAG_RELEVANCE_THRESHOLD",
+    "rag.relevance_threshold",
+    float(os.environ.get("RAG_RELEVANCE_THRESHOLD", "0.0")),
+)
+
+ENABLE_RAG_HYBRID_SEARCH = PersistentConfig(
+    "ENABLE_RAG_HYBRID_SEARCH",
+    "rag.enable_hybrid_search",
+    os.environ.get("ENABLE_RAG_HYBRID_SEARCH", "").lower() == "true",
+)
+
+ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION = PersistentConfig(
+    "ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION",
+    "rag.enable_web_loader_ssl_verification",
+    os.environ.get("ENABLE_RAG_WEB_LOADER_SSL_VERIFICATION", "True").lower() == "true",
+)
+
+RAG_EMBEDDING_ENGINE = PersistentConfig(
+    "RAG_EMBEDDING_ENGINE",
+    "rag.embedding_engine",
+    os.environ.get("RAG_EMBEDDING_ENGINE", ""),
+)
+
+PDF_EXTRACT_IMAGES = PersistentConfig(
+    "PDF_EXTRACT_IMAGES",
+    "rag.pdf_extract_images",
+    os.environ.get("PDF_EXTRACT_IMAGES", "False").lower() == "true",
+)
+
+RAG_EMBEDDING_MODEL = PersistentConfig(
+    "RAG_EMBEDDING_MODEL",
+    "rag.embedding_model",
+    os.environ.get("RAG_EMBEDDING_MODEL", "sentence-transformers/all-MiniLM-L6-v2"),
+)
+log.info(f"Embedding model set: {RAG_EMBEDDING_MODEL.value}"),
+
+RAG_EMBEDDING_MODEL_AUTO_UPDATE = (
+    os.environ.get("RAG_EMBEDDING_MODEL_AUTO_UPDATE", "").lower() == "true"
 )
-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"
 )
 
+RAG_RERANKING_MODEL = PersistentConfig(
+    "RAG_RERANKING_MODEL",
+    "rag.reranking_model",
+    os.environ.get("RAG_RERANKING_MODEL", ""),
+)
+if RAG_RERANKING_MODEL.value != "":
+    log.info(f"Reranking model set: {RAG_RERANKING_MODEL.value}"),
+
+RAG_RERANKING_MODEL_AUTO_UPDATE = (
+    os.environ.get("RAG_RERANKING_MODEL_AUTO_UPDATE", "").lower() == "true"
+)
+
+RAG_RERANKING_MODEL_TRUST_REMOTE_CODE = (
+    os.environ.get("RAG_RERANKING_MODEL_TRUST_REMOTE_CODE", "").lower() == "true"
+)
+
+
+if CHROMA_HTTP_HOST != "":
+    CHROMA_CLIENT = chromadb.HttpClient(
+        host=CHROMA_HTTP_HOST,
+        port=CHROMA_HTTP_PORT,
+        headers=CHROMA_HTTP_HEADERS,
+        ssl=CHROMA_HTTP_SSL,
+        tenant=CHROMA_TENANT,
+        database=CHROMA_DATABASE,
+        settings=Settings(allow_reset=True, anonymized_telemetry=False),
+    )
+else:
+    CHROMA_CLIENT = chromadb.PersistentClient(
+        path=CHROMA_DATA_PATH,
+        settings=Settings(allow_reset=True, anonymized_telemetry=False),
+        tenant=CHROMA_TENANT,
+        database=CHROMA_DATABASE,
+    )
+
+
 # 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")
 
@@ -439,16 +727,16 @@ if USE_CUDA.lower() == "true":
 else:
     DEVICE_TYPE = "cpu"
 
-
-CHROMA_CLIENT = chromadb.PersistentClient(
-    path=CHROMA_DATA_PATH,
-    settings=Settings(allow_reset=True, anonymized_telemetry=False),
+CHUNK_SIZE = PersistentConfig(
+    "CHUNK_SIZE", "rag.chunk_size", int(os.environ.get("CHUNK_SIZE", "1500"))
+)
+CHUNK_OVERLAP = PersistentConfig(
+    "CHUNK_OVERLAP",
+    "rag.chunk_overlap",
+    int(os.environ.get("CHUNK_OVERLAP", "100")),
 )
-CHUNK_SIZE = 1500
-CHUNK_OVERLAP = 100
 
-
-RAG_TEMPLATE = """Use the following context as your learned knowledge, inside <context></context> XML tags.
+DEFAULT_RAG_TEMPLATE = """Use the following context as your learned knowledge, inside <context></context> XML tags.
 <context>
     [context]
 </context>
@@ -458,12 +746,105 @@ When answer to user:
 - 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)
+RAG_TEMPLATE = PersistentConfig(
+    "RAG_TEMPLATE",
+    "rag.template",
+    os.environ.get("RAG_TEMPLATE", DEFAULT_RAG_TEMPLATE),
+)
+
+RAG_OPENAI_API_BASE_URL = PersistentConfig(
+    "RAG_OPENAI_API_BASE_URL",
+    "rag.openai_api_base_url",
+    os.getenv("RAG_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL),
+)
+RAG_OPENAI_API_KEY = PersistentConfig(
+    "RAG_OPENAI_API_KEY",
+    "rag.openai_api_key",
+    os.getenv("RAG_OPENAI_API_KEY", OPENAI_API_KEY),
+)
+
+ENABLE_RAG_LOCAL_WEB_FETCH = (
+    os.getenv("ENABLE_RAG_LOCAL_WEB_FETCH", "False").lower() == "true"
+)
+
+YOUTUBE_LOADER_LANGUAGE = PersistentConfig(
+    "YOUTUBE_LOADER_LANGUAGE",
+    "rag.youtube_loader_language",
+    os.getenv("YOUTUBE_LOADER_LANGUAGE", "en").split(","),
+)
+
+
+ENABLE_RAG_WEB_SEARCH = PersistentConfig(
+    "ENABLE_RAG_WEB_SEARCH",
+    "rag.web.search.enable",
+    os.getenv("ENABLE_RAG_WEB_SEARCH", "False").lower() == "true",
+)
+
+RAG_WEB_SEARCH_ENGINE = PersistentConfig(
+    "RAG_WEB_SEARCH_ENGINE",
+    "rag.web.search.engine",
+    os.getenv("RAG_WEB_SEARCH_ENGINE", ""),
+)
+
+SEARXNG_QUERY_URL = PersistentConfig(
+    "SEARXNG_QUERY_URL",
+    "rag.web.search.searxng_query_url",
+    os.getenv("SEARXNG_QUERY_URL", ""),
+)
+
+GOOGLE_PSE_API_KEY = PersistentConfig(
+    "GOOGLE_PSE_API_KEY",
+    "rag.web.search.google_pse_api_key",
+    os.getenv("GOOGLE_PSE_API_KEY", ""),
+)
+
+GOOGLE_PSE_ENGINE_ID = PersistentConfig(
+    "GOOGLE_PSE_ENGINE_ID",
+    "rag.web.search.google_pse_engine_id",
+    os.getenv("GOOGLE_PSE_ENGINE_ID", ""),
+)
+
+BRAVE_SEARCH_API_KEY = PersistentConfig(
+    "BRAVE_SEARCH_API_KEY",
+    "rag.web.search.brave_search_api_key",
+    os.getenv("BRAVE_SEARCH_API_KEY", ""),
+)
+
+SERPSTACK_API_KEY = PersistentConfig(
+    "SERPSTACK_API_KEY",
+    "rag.web.search.serpstack_api_key",
+    os.getenv("SERPSTACK_API_KEY", ""),
+)
+
+SERPSTACK_HTTPS = PersistentConfig(
+    "SERPSTACK_HTTPS",
+    "rag.web.search.serpstack_https",
+    os.getenv("SERPSTACK_HTTPS", "True").lower() == "true",
+)
+
+SERPER_API_KEY = PersistentConfig(
+    "SERPER_API_KEY",
+    "rag.web.search.serper_api_key",
+    os.getenv("SERPER_API_KEY", ""),
+)
+
+
+RAG_WEB_SEARCH_RESULT_COUNT = PersistentConfig(
+    "RAG_WEB_SEARCH_RESULT_COUNT",
+    "rag.web.search.result_count",
+    int(os.getenv("RAG_WEB_SEARCH_RESULT_COUNT", "3")),
+)
+
+RAG_WEB_SEARCH_CONCURRENT_REQUESTS = PersistentConfig(
+    "RAG_WEB_SEARCH_CONCURRENT_REQUESTS",
+    "rag.web.search.concurrent_requests",
+    int(os.getenv("RAG_WEB_SEARCH_CONCURRENT_REQUESTS", "10")),
+)
+
 
 ####################################
 # Transcribe
@@ -480,31 +861,82 @@ WHISPER_MODEL_AUTO_UPDATE = (
 # Images
 ####################################
 
-ENABLE_IMAGE_GENERATION = (
-    os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true"
+IMAGE_GENERATION_ENGINE = PersistentConfig(
+    "IMAGE_GENERATION_ENGINE",
+    "image_generation.engine",
+    os.getenv("IMAGE_GENERATION_ENGINE", ""),
 )
-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
+ENABLE_IMAGE_GENERATION = PersistentConfig(
+    "ENABLE_IMAGE_GENERATION",
+    "image_generation.enable",
+    os.environ.get("ENABLE_IMAGE_GENERATION", "").lower() == "true",
+)
+AUTOMATIC1111_BASE_URL = PersistentConfig(
+    "AUTOMATIC1111_BASE_URL",
+    "image_generation.automatic1111.base_url",
+    os.getenv("AUTOMATIC1111_BASE_URL", ""),
 )
-IMAGES_OPENAI_API_KEY = os.getenv("IMAGES_OPENAI_API_KEY", OPENAI_API_KEY)
 
+COMFYUI_BASE_URL = PersistentConfig(
+    "COMFYUI_BASE_URL",
+    "image_generation.comfyui.base_url",
+    os.getenv("COMFYUI_BASE_URL", ""),
+)
+
+IMAGES_OPENAI_API_BASE_URL = PersistentConfig(
+    "IMAGES_OPENAI_API_BASE_URL",
+    "image_generation.openai.api_base_url",
+    os.getenv("IMAGES_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL),
+)
+IMAGES_OPENAI_API_KEY = PersistentConfig(
+    "IMAGES_OPENAI_API_KEY",
+    "image_generation.openai.api_key",
+    os.getenv("IMAGES_OPENAI_API_KEY", OPENAI_API_KEY),
+)
+
+IMAGE_SIZE = PersistentConfig(
+    "IMAGE_SIZE", "image_generation.size", os.getenv("IMAGE_SIZE", "512x512")
+)
+
+IMAGE_STEPS = PersistentConfig(
+    "IMAGE_STEPS", "image_generation.steps", int(os.getenv("IMAGE_STEPS", 50))
+)
+
+IMAGE_GENERATION_MODEL = PersistentConfig(
+    "IMAGE_GENERATION_MODEL",
+    "image_generation.model",
+    os.getenv("IMAGE_GENERATION_MODEL", ""),
+)
 
 ####################################
 # 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)
+AUDIO_OPENAI_API_BASE_URL = PersistentConfig(
+    "AUDIO_OPENAI_API_BASE_URL",
+    "audio.openai.api_base_url",
+    os.getenv("AUDIO_OPENAI_API_BASE_URL", OPENAI_API_BASE_URL),
+)
+AUDIO_OPENAI_API_KEY = PersistentConfig(
+    "AUDIO_OPENAI_API_KEY",
+    "audio.openai.api_key",
+    os.getenv("AUDIO_OPENAI_API_KEY", OPENAI_API_KEY),
+)
+AUDIO_OPENAI_API_MODEL = PersistentConfig(
+    "AUDIO_OPENAI_API_MODEL",
+    "audio.openai.api_model",
+    os.getenv("AUDIO_OPENAI_API_MODEL", "tts-1"),
+)
+AUDIO_OPENAI_API_VOICE = PersistentConfig(
+    "AUDIO_OPENAI_API_VOICE",
+    "audio.openai.api_voice",
+    os.getenv("AUDIO_OPENAI_API_VOICE", "alloy"),
+)
+
 
 ####################################
-# LiteLLM
+# Database
 ####################################
 
-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")
+DATABASE_URL = os.environ.get("DATABASE_URL", f"sqlite:///{DATA_DIR}/webui.db")

backend/constants.py

@@ -32,6 +32,8 @@ class ERROR_MESSAGES(str, Enum):
     COMMAND_TAKEN = "Uh-oh! This command is already registered. Please choose another command string."
     FILE_EXISTS = "Uh-oh! This file is already registered. Please choose another file."
 
+    MODEL_ID_TAKEN = "Uh-oh! This model id is already registered. Please choose another model id string."
+
     NAME_TAG_TAKEN = "Uh-oh! This name tag is already registered. Please choose another name tag string."
     INVALID_TOKEN = (
         "Your session has expired or the token is invalid. Please sign in again."
@@ -42,6 +44,9 @@ class ERROR_MESSAGES(str, Enum):
         "The password provided is incorrect. Please check for typos and try again."
     )
     INVALID_TRUSTED_HEADER = "Your provider has not provided a trusted header. Please contact your administrator for assistance."
+
+    EXISTING_USERS = "You can't turn off authentication because there are existing users. If you want to disable WEBUI_AUTH, make sure your web interface doesn't have any existing users and is a fresh installation."
+
     UNAUTHORIZED = "401 Unauthorized"
     ACCESS_PROHIBITED = "You do not have permission to access this resource. Please contact your administrator for assistance."
     ACTION_PROHIBITED = (
@@ -69,3 +74,13 @@ class ERROR_MESSAGES(str, Enum):
     CREATE_API_KEY_ERROR = "Oops! Something went wrong while creating your API key. Please try again later. If the issue persists, contact support for assistance."
 
     EMPTY_CONTENT = "The content provided is empty. Please ensure that there is text or data present before proceeding."
+
+    DB_NOT_SQLITE = "This feature is only available when running with SQLite databases."
+
+    INVALID_URL = (
+        "Oops! The URL you provided is invalid. Please double-check and try again."
+    )
+
+    WEB_SEARCH_ERROR = (
+        lambda err="": f"{err if err else 'Oops! Something went wrong while searching the web.'}"
+    )

backend/data/config.json

@@ -18,6 +18,18 @@
 			{
 				"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."
+			},
+			{
+				"title": ["Explain options trading", "if I'm familiar with buying and selling stocks"],
+				"content": "Explain options trading in simple terms if I'm familiar with buying and selling stocks."
+			},
+			{
+				"title": ["Overcome procrastination", "give me tips"],
+				"content": "Could you start by asking me about instances when I procrastinate the most and then give me some suggestions to overcome it?"
+			},
+			{
+				"title": ["Grammar check", "rewrite it for better readability "],
+				"content": "Check the following sentence for grammar and clarity: \"[sentence]\". Rewrite it for better readability while maintaining its original meaning."
 			}
 		]
 	}

backend/main.py

@@ -1,3 +1,4 @@
+from contextlib import asynccontextmanager
 from bs4 import BeautifulSoup
 import json
 import markdown
@@ -7,52 +8,60 @@ import sys
 import logging
 import aiohttp
 import requests
+import mimetypes
 
 from fastapi import FastAPI, Request, Depends, status
 from fastapi.staticfiles import StaticFiles
+from fastapi.responses import JSONResponse
 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 starlette.responses import StreamingResponse, Response
 
+from apps.ollama.main import app as ollama_app, get_all_models as get_ollama_models
+from apps.openai.main import app as openai_app, get_all_models as get_openai_models
 
-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
+from apps.webui.main import app as webui_app
 
 import asyncio
 from pydantic import BaseModel
-from typing import List
+from typing import List, Optional
 
-
-from utils.utils import get_admin_user
+from apps.webui.models.models import Models, ModelModel
+from utils.utils import (
+    get_admin_user,
+    get_verified_user,
+    get_current_user,
+    get_http_authorization_cred,
+)
 from apps.rag.utils import rag_messages
 
 from config import (
     CONFIG_DATA,
     WEBUI_NAME,
+    WEBUI_URL,
+    WEBUI_AUTH,
     ENV,
     VERSION,
     CHANGELOG,
     FRONTEND_BUILD_DIR,
     CACHE_DIR,
     STATIC_DIR,
-    MODEL_FILTER_ENABLED,
+    ENABLE_OPENAI_API,
+    ENABLE_OLLAMA_API,
+    ENABLE_MODEL_FILTER,
     MODEL_FILTER_LIST,
     GLOBAL_LOG_LEVEL,
     SRC_LOG_LEVELS,
     WEBHOOK_URL,
     ENABLE_ADMIN_EXPORT,
+    AppConfig,
+    WEBUI_BUILD_HASH,
 )
 from constants import ERROR_MESSAGES
 
@@ -73,7 +82,7 @@ class SPAStaticFiles(StaticFiles):
 
 
 print(
-    f"""
+    rf"""
   ___                    __        __   _     _   _ ___ 
  / _ \ _ __   ___ _ __   \ \      / /__| |__ | | | |_ _|
 | | | | '_ \ / _ \ '_ \   \ \ /\ / / _ \ '_ \| | | || | 
@@ -82,25 +91,57 @@ print(
       |_|                                               
 
       
-v{VERSION} - building the best open-source AI user interface.      
+v{VERSION} - building the best open-source AI user interface.
+{f"Commit: {WEBUI_BUILD_HASH}" if WEBUI_BUILD_HASH != "dev-build" else ""}
 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
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    yield
 
-app.state.WEBHOOK_URL = WEBHOOK_URL
+
+app = FastAPI(
+    docs_url="/docs" if ENV == "dev" else None, redoc_url=None, lifespan=lifespan
+)
+
+app.state.config = AppConfig()
+
+app.state.config.ENABLE_OPENAI_API = ENABLE_OPENAI_API
+app.state.config.ENABLE_OLLAMA_API = ENABLE_OLLAMA_API
+
+app.state.config.ENABLE_MODEL_FILTER = ENABLE_MODEL_FILTER
+app.state.config.MODEL_FILTER_LIST = MODEL_FILTER_LIST
+
+
+app.state.config.WEBHOOK_URL = WEBHOOK_URL
+
+
+app.state.MODELS = {}
 
 origins = ["*"]
 
+# Custom middleware to add security headers
+# class SecurityHeadersMiddleware(BaseHTTPMiddleware):
+#     async def dispatch(self, request: Request, call_next):
+#         response: Response = await call_next(request)
+#         response.headers["Cross-Origin-Opener-Policy"] = "same-origin"
+#         response.headers["Cross-Origin-Embedder-Policy"] = "require-corp"
+#         return response
+
+
+# app.add_middleware(SecurityHeadersMiddleware)
+
 
 class RAGMiddleware(BaseHTTPMiddleware):
     async def dispatch(self, request: Request, call_next):
+        return_citations = False
+
         if request.method == "POST" and (
-            "/api/chat" in request.url.path or "/chat/completions" in request.url.path
+            "/ollama/api/chat" in request.url.path
+            or "/chat/completions" in request.url.path
         ):
             log.debug(f"request.url.path: {request.url.path}")
 
@@ -111,24 +152,29 @@ class RAGMiddleware(BaseHTTPMiddleware):
             # Parse string to JSON
             data = json.loads(body_str) if body_str else {}
 
+            return_citations = data.get("citations", False)
+            if "citations" in data:
+                del data["citations"]
+
             # 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,
+                data["messages"], citations = rag_messages(
+                    docs=data["docs"],
+                    messages=data["messages"],
+                    template=rag_app.state.config.RAG_TEMPLATE,
+                    embedding_function=rag_app.state.EMBEDDING_FUNCTION,
+                    k=rag_app.state.config.TOP_K,
+                    reranking_function=rag_app.state.sentence_transformer_rf,
+                    r=rag_app.state.config.RELEVANCE_THRESHOLD,
+                    hybrid_search=rag_app.state.config.ENABLE_RAG_HYBRID_SEARCH,
                 )
                 del data["docs"]
 
-                log.debug(f"data['messages']: {data['messages']}")
+                log.debug(
+                    f"data['messages']: {data['messages']}, citations: {citations}"
+                )
 
             modified_body_bytes = json.dumps(data).encode("utf-8")
 
@@ -145,6 +191,149 @@ class RAGMiddleware(BaseHTTPMiddleware):
                 ],
             ]
 
+        response = await call_next(request)
+
+        if return_citations:
+            # Inject the citations into the response
+            if isinstance(response, StreamingResponse):
+                # If it's a streaming response, inject it as SSE event or NDJSON line
+                content_type = response.headers.get("Content-Type")
+                if "text/event-stream" in content_type:
+                    return StreamingResponse(
+                        self.openai_stream_wrapper(response.body_iterator, citations),
+                    )
+                if "application/x-ndjson" in content_type:
+                    return StreamingResponse(
+                        self.ollama_stream_wrapper(response.body_iterator, citations),
+                    )
+
+        return response
+
+    async def _receive(self, body: bytes):
+        return {"type": "http.request", "body": body, "more_body": False}
+
+    async def openai_stream_wrapper(self, original_generator, citations):
+        yield f"data: {json.dumps({'citations': citations})}\n\n"
+        async for data in original_generator:
+            yield data
+
+    async def ollama_stream_wrapper(self, original_generator, citations):
+        yield f"{json.dumps({'citations': citations})}\n"
+        async for data in original_generator:
+            yield data
+
+
+app.add_middleware(RAGMiddleware)
+
+
+class PipelineMiddleware(BaseHTTPMiddleware):
+    async def dispatch(self, request: Request, call_next):
+        if request.method == "POST" and (
+            "/ollama/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 {}
+
+            model_id = data["model"]
+            filters = [
+                model
+                for model in app.state.MODELS.values()
+                if "pipeline" in model
+                and "type" in model["pipeline"]
+                and model["pipeline"]["type"] == "filter"
+                and (
+                    model["pipeline"]["pipelines"] == ["*"]
+                    or any(
+                        model_id == target_model_id
+                        for target_model_id in model["pipeline"]["pipelines"]
+                    )
+                )
+            ]
+            sorted_filters = sorted(filters, key=lambda x: x["pipeline"]["priority"])
+
+            user = None
+            if len(sorted_filters) > 0:
+                try:
+                    user = get_current_user(
+                        get_http_authorization_cred(
+                            request.headers.get("Authorization")
+                        )
+                    )
+                    user = {"id": user.id, "name": user.name, "role": user.role}
+                except:
+                    pass
+
+            model = app.state.MODELS[model_id]
+
+            if "pipeline" in model:
+                sorted_filters.append(model)
+
+            for filter in sorted_filters:
+                r = None
+                try:
+                    urlIdx = filter["urlIdx"]
+
+                    url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+                    key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+                    if key != "":
+                        headers = {"Authorization": f"Bearer {key}"}
+                        r = requests.post(
+                            f"{url}/{filter['id']}/filter/inlet",
+                            headers=headers,
+                            json={
+                                "user": user,
+                                "body": data,
+                            },
+                        )
+
+                        r.raise_for_status()
+                        data = r.json()
+                except Exception as e:
+                    # Handle connection error here
+                    print(f"Connection error: {e}")
+
+                    if r is not None:
+                        try:
+                            res = r.json()
+                            if "detail" in res:
+                                return JSONResponse(
+                                    status_code=r.status_code,
+                                    content=res,
+                                )
+                        except:
+                            pass
+
+                    else:
+                        pass
+
+            if "pipeline" not in app.state.MODELS[model_id]:
+                if "chat_id" in data:
+                    del data["chat_id"]
+
+                if "title" in data:
+                    del data["title"]
+
+            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
 
@@ -152,7 +341,7 @@ class RAGMiddleware(BaseHTTPMiddleware):
         return {"type": "http.request", "body": body, "more_body": False}
 
 
-app.add_middleware(RAGMiddleware)
+app.add_middleware(PipelineMiddleware)
 
 
 app.add_middleware(
@@ -166,6 +355,11 @@ app.add_middleware(
 
 @app.middleware("http")
 async def check_url(request: Request, call_next):
+    if len(app.state.MODELS) == 0:
+        await get_all_models()
+    else:
+        pass
+
     start_time = int(time.time())
     response = await call_next(request)
     process_time = int(time.time()) - start_time
@@ -174,21 +368,447 @@ async def check_url(request: Request, call_next):
     return response
 
 
-@app.on_event("startup")
-async def on_startup():
-    asyncio.create_task(start_litellm_background())
+@app.middleware("http")
+async def update_embedding_function(request: Request, call_next):
+    response = await call_next(request)
+    if "/embedding/update" in request.url.path:
+        webui_app.state.EMBEDDING_FUNCTION = rag_app.state.EMBEDDING_FUNCTION
+    return response
 
 
-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("/openai", openai_app)
 
 app.mount("/images/api/v1", images_app)
 app.mount("/audio/api/v1", audio_app)
 app.mount("/rag/api/v1", rag_app)
 
+app.mount("/api/v1", webui_app)
+
+webui_app.state.EMBEDDING_FUNCTION = rag_app.state.EMBEDDING_FUNCTION
+
+
+async def get_all_models():
+    openai_models = []
+    ollama_models = []
+
+    if app.state.config.ENABLE_OPENAI_API:
+        openai_models = await get_openai_models()
+
+        openai_models = openai_models["data"]
+
+    if app.state.config.ENABLE_OLLAMA_API:
+        ollama_models = await get_ollama_models()
+
+        ollama_models = [
+            {
+                "id": model["model"],
+                "name": model["name"],
+                "object": "model",
+                "created": int(time.time()),
+                "owned_by": "ollama",
+                "ollama": model,
+            }
+            for model in ollama_models["models"]
+        ]
+
+    models = openai_models + ollama_models
+    custom_models = Models.get_all_models()
+
+    for custom_model in custom_models:
+        if custom_model.base_model_id == None:
+            for model in models:
+                if (
+                    custom_model.id == model["id"]
+                    or custom_model.id == model["id"].split(":")[0]
+                ):
+                    model["name"] = custom_model.name
+                    model["info"] = custom_model.model_dump()
+        else:
+            owned_by = "openai"
+            for model in models:
+                if (
+                    custom_model.base_model_id == model["id"]
+                    or custom_model.base_model_id == model["id"].split(":")[0]
+                ):
+                    owned_by = model["owned_by"]
+                    break
+
+            models.append(
+                {
+                    "id": custom_model.id,
+                    "name": custom_model.name,
+                    "object": "model",
+                    "created": custom_model.created_at,
+                    "owned_by": owned_by,
+                    "info": custom_model.model_dump(),
+                    "preset": True,
+                }
+            )
+
+    app.state.MODELS = {model["id"]: model for model in models}
+
+    webui_app.state.MODELS = app.state.MODELS
+
+    return models
+
+
+@app.get("/api/models")
+async def get_models(user=Depends(get_verified_user)):
+    models = await get_all_models()
+
+    # Filter out filter pipelines
+    models = [
+        model
+        for model in models
+        if "pipeline" not in model or model["pipeline"].get("type", None) != "filter"
+    ]
+
+    if app.state.config.ENABLE_MODEL_FILTER:
+        if user.role == "user":
+            models = list(
+                filter(
+                    lambda model: model["id"] in app.state.config.MODEL_FILTER_LIST,
+                    models,
+                )
+            )
+            return {"data": models}
+
+    return {"data": models}
+
+
+@app.post("/api/chat/completed")
+async def chat_completed(form_data: dict, user=Depends(get_verified_user)):
+    data = form_data
+    model_id = data["model"]
+
+    filters = [
+        model
+        for model in app.state.MODELS.values()
+        if "pipeline" in model
+        and "type" in model["pipeline"]
+        and model["pipeline"]["type"] == "filter"
+        and (
+            model["pipeline"]["pipelines"] == ["*"]
+            or any(
+                model_id == target_model_id
+                for target_model_id in model["pipeline"]["pipelines"]
+            )
+        )
+    ]
+    sorted_filters = sorted(filters, key=lambda x: x["pipeline"]["priority"])
+
+    print(model_id)
+
+    if model_id in app.state.MODELS:
+        model = app.state.MODELS[model_id]
+        if "pipeline" in model:
+            sorted_filters = [model] + sorted_filters
+
+    for filter in sorted_filters:
+        r = None
+        try:
+            urlIdx = filter["urlIdx"]
+
+            url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+            key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+            if key != "":
+                headers = {"Authorization": f"Bearer {key}"}
+                r = requests.post(
+                    f"{url}/{filter['id']}/filter/outlet",
+                    headers=headers,
+                    json={
+                        "user": {"id": user.id, "name": user.name, "role": user.role},
+                        "body": data,
+                    },
+                )
+
+                r.raise_for_status()
+                data = r.json()
+        except Exception as e:
+            # Handle connection error here
+            print(f"Connection error: {e}")
+
+            if r is not None:
+                try:
+                    res = r.json()
+                    if "detail" in res:
+                        return JSONResponse(
+                            status_code=r.status_code,
+                            content=res,
+                        )
+                except:
+                    pass
+
+            else:
+                pass
+
+    return data
+
+
+@app.get("/api/pipelines/list")
+async def get_pipelines_list(user=Depends(get_admin_user)):
+    responses = await get_openai_models(raw=True)
+
+    print(responses)
+    urlIdxs = [
+        idx
+        for idx, response in enumerate(responses)
+        if response != None and "pipelines" in response
+    ]
+
+    return {
+        "data": [
+            {
+                "url": openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx],
+                "idx": urlIdx,
+            }
+            for urlIdx in urlIdxs
+        ]
+    }
+
+
+class AddPipelineForm(BaseModel):
+    url: str
+    urlIdx: int
+
+
+@app.post("/api/pipelines/add")
+async def add_pipeline(form_data: AddPipelineForm, user=Depends(get_admin_user)):
+
+    r = None
+    try:
+        urlIdx = form_data.urlIdx
+
+        url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+        key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+        headers = {"Authorization": f"Bearer {key}"}
+        r = requests.post(
+            f"{url}/pipelines/add", headers=headers, json={"url": form_data.url}
+        )
+
+        r.raise_for_status()
+        data = r.json()
+
+        return {**data}
+    except Exception as e:
+        # Handle connection error here
+        print(f"Connection error: {e}")
+
+        detail = "Pipeline not found"
+        if r is not None:
+            try:
+                res = r.json()
+                if "detail" in res:
+                    detail = res["detail"]
+            except:
+                pass
+
+        raise HTTPException(
+            status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
+            detail=detail,
+        )
+
+
+class DeletePipelineForm(BaseModel):
+    id: str
+    urlIdx: int
+
+
+@app.delete("/api/pipelines/delete")
+async def delete_pipeline(form_data: DeletePipelineForm, user=Depends(get_admin_user)):
+
+    r = None
+    try:
+        urlIdx = form_data.urlIdx
+
+        url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+        key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+        headers = {"Authorization": f"Bearer {key}"}
+        r = requests.delete(
+            f"{url}/pipelines/delete", headers=headers, json={"id": form_data.id}
+        )
+
+        r.raise_for_status()
+        data = r.json()
+
+        return {**data}
+    except Exception as e:
+        # Handle connection error here
+        print(f"Connection error: {e}")
+
+        detail = "Pipeline not found"
+        if r is not None:
+            try:
+                res = r.json()
+                if "detail" in res:
+                    detail = res["detail"]
+            except:
+                pass
+
+        raise HTTPException(
+            status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
+            detail=detail,
+        )
+
+
+@app.get("/api/pipelines")
+async def get_pipelines(urlIdx: Optional[int] = None, user=Depends(get_admin_user)):
+    r = None
+    try:
+        urlIdx
+
+        url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+        key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+        headers = {"Authorization": f"Bearer {key}"}
+        r = requests.get(f"{url}/pipelines", headers=headers)
+
+        r.raise_for_status()
+        data = r.json()
+
+        return {**data}
+    except Exception as e:
+        # Handle connection error here
+        print(f"Connection error: {e}")
+
+        detail = "Pipeline not found"
+        if r is not None:
+            try:
+                res = r.json()
+                if "detail" in res:
+                    detail = res["detail"]
+            except:
+                pass
+
+        raise HTTPException(
+            status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
+            detail=detail,
+        )
+
+
+@app.get("/api/pipelines/{pipeline_id}/valves")
+async def get_pipeline_valves(
+    urlIdx: Optional[int], pipeline_id: str, user=Depends(get_admin_user)
+):
+    models = await get_all_models()
+    r = None
+    try:
+
+        url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+        key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+        headers = {"Authorization": f"Bearer {key}"}
+        r = requests.get(f"{url}/{pipeline_id}/valves", headers=headers)
+
+        r.raise_for_status()
+        data = r.json()
+
+        return {**data}
+    except Exception as e:
+        # Handle connection error here
+        print(f"Connection error: {e}")
+
+        detail = "Pipeline not found"
+
+        if r is not None:
+            try:
+                res = r.json()
+                if "detail" in res:
+                    detail = res["detail"]
+            except:
+                pass
+
+        raise HTTPException(
+            status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
+            detail=detail,
+        )
+
+
+@app.get("/api/pipelines/{pipeline_id}/valves/spec")
+async def get_pipeline_valves_spec(
+    urlIdx: Optional[int], pipeline_id: str, user=Depends(get_admin_user)
+):
+    models = await get_all_models()
+
+    r = None
+    try:
+        url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+        key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+        headers = {"Authorization": f"Bearer {key}"}
+        r = requests.get(f"{url}/{pipeline_id}/valves/spec", headers=headers)
+
+        r.raise_for_status()
+        data = r.json()
+
+        return {**data}
+    except Exception as e:
+        # Handle connection error here
+        print(f"Connection error: {e}")
+
+        detail = "Pipeline not found"
+        if r is not None:
+            try:
+                res = r.json()
+                if "detail" in res:
+                    detail = res["detail"]
+            except:
+                pass
+
+        raise HTTPException(
+            status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
+            detail=detail,
+        )
+
+
+@app.post("/api/pipelines/{pipeline_id}/valves/update")
+async def update_pipeline_valves(
+    urlIdx: Optional[int],
+    pipeline_id: str,
+    form_data: dict,
+    user=Depends(get_admin_user),
+):
+    models = await get_all_models()
+
+    r = None
+    try:
+        url = openai_app.state.config.OPENAI_API_BASE_URLS[urlIdx]
+        key = openai_app.state.config.OPENAI_API_KEYS[urlIdx]
+
+        headers = {"Authorization": f"Bearer {key}"}
+        r = requests.post(
+            f"{url}/{pipeline_id}/valves/update",
+            headers=headers,
+            json={**form_data},
+        )
+
+        r.raise_for_status()
+        data = r.json()
+
+        return {**data}
+    except Exception as e:
+        # Handle connection error here
+        print(f"Connection error: {e}")
+
+        detail = "Pipeline not found"
+
+        if r is not None:
+            try:
+                res = r.json()
+                if "detail" in res:
+                    detail = res["detail"]
+            except:
+                pass
+
+        raise HTTPException(
+            status_code=(r.status_code if r is not None else status.HTTP_404_NOT_FOUND),
+            detail=detail,
+        )
+
 
 @app.get("/api/config")
 async def get_app_config():
@@ -204,19 +824,25 @@ async def get_app_config():
         "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,
+        "default_models": webui_app.state.config.DEFAULT_MODELS,
+        "default_prompt_suggestions": webui_app.state.config.DEFAULT_PROMPT_SUGGESTIONS,
+        "features": {
+            "auth": WEBUI_AUTH,
+            "auth_trusted_header": bool(webui_app.state.AUTH_TRUSTED_EMAIL_HEADER),
+            "enable_signup": webui_app.state.config.ENABLE_SIGNUP,
+            "enable_web_search": rag_app.state.config.ENABLE_RAG_WEB_SEARCH,
+            "enable_image_generation": images_app.state.config.ENABLED,
+            "enable_community_sharing": webui_app.state.config.ENABLE_COMMUNITY_SHARING,
+            "enable_admin_export": 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,
+        "enabled": app.state.config.ENABLE_MODEL_FILTER,
+        "models": app.state.config.MODEL_FILTER_LIST,
     }
 
 
@@ -229,28 +855,19 @@ class ModelFilterConfigForm(BaseModel):
 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
+    app.state.config.ENABLE_MODEL_FILTER = form_data.enabled
+    app.state.config.MODEL_FILTER_LIST = form_data.models
 
     return {
-        "enabled": app.state.MODEL_FILTER_ENABLED,
-        "models": app.state.MODEL_FILTER_LIST,
+        "enabled": app.state.config.ENABLE_MODEL_FILTER,
+        "models": app.state.config.MODEL_FILTER_LIST,
     }
 
 
 @app.get("/api/webhook")
 async def get_webhook_url(user=Depends(get_admin_user)):
     return {
-        "url": app.state.WEBHOOK_URL,
+        "url": app.state.config.WEBHOOK_URL,
     }
 
 
@@ -260,15 +877,27 @@ class UrlForm(BaseModel):
 
 @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
+    app.state.config.WEBHOOK_URL = form_data.url
+    webui_app.state.WEBHOOK_URL = app.state.config.WEBHOOK_URL
 
     return {
-        "url": app.state.WEBHOOK_URL,
+        "url": app.state.config.WEBHOOK_URL,
     }
 
 
+@app.get("/api/community_sharing", response_model=bool)
+async def get_community_sharing_status(request: Request, user=Depends(get_admin_user)):
+    return webui_app.state.config.ENABLE_COMMUNITY_SHARING
+
+
+@app.get("/api/community_sharing/toggle", response_model=bool)
+async def toggle_community_sharing(request: Request, user=Depends(get_admin_user)):
+    webui_app.state.config.ENABLE_COMMUNITY_SHARING = (
+        not webui_app.state.config.ENABLE_COMMUNITY_SHARING
+    )
+    return webui_app.state.config.ENABLE_COMMUNITY_SHARING
+
+
 @app.get("/api/version")
 async def get_app_config():
     return {
@@ -310,20 +939,41 @@ async def get_manifest_json():
         "background_color": "#343541",
         "theme_color": "#343541",
         "orientation": "portrait-primary",
-        "icons": [{"src": "/favicon.png", "type": "image/png", "sizes": "844x884"}],
+        "icons": [{"src": "/static/logo.png", "type": "image/png", "sizes": "500x500"}],
     }
 
 
+@app.get("/opensearch.xml")
+async def get_opensearch_xml():
+    xml_content = rf"""
+    <OpenSearchDescription xmlns="http://a9.com/-/spec/opensearch/1.1/" xmlns:moz="http://www.mozilla.org/2006/browser/search/">
+    <ShortName>{WEBUI_NAME}</ShortName>
+    <Description>Search {WEBUI_NAME}</Description>
+    <InputEncoding>UTF-8</InputEncoding>
+    <Image width="16" height="16" type="image/x-icon">{WEBUI_URL}/favicon.png</Image>
+    <Url type="text/html" method="get" template="{WEBUI_URL}/?q={"{searchTerms}"}"/>
+    <moz:SearchForm>{WEBUI_URL}</moz:SearchForm>
+    </OpenSearchDescription>
+    """
+    return Response(content=xml_content, media_type="application/xml")
+
+
+@app.get("/health")
+async def healthcheck():
+    return {"status": True}
+
+
 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()
+if os.path.exists(FRONTEND_BUILD_DIR):
+    mimetypes.add_type("text/javascript", ".js")
+    app.mount(
+        "/",
+        SPAStaticFiles(directory=FRONTEND_BUILD_DIR, html=True),
+        name="spa-static-files",
+    )
+else:
+    log.warning(
+        f"Frontend build directory not found at '{FRONTEND_BUILD_DIR}'. Serving API only."
+    )

backend/open_webui/__init__.py

@@ -0,0 +1,60 @@
+import base64
+import os
+import random
+from pathlib import Path
+
+import typer
+import uvicorn
+
+app = typer.Typer()
+
+KEY_FILE = Path.cwd() / ".webui_secret_key"
+if (frontend_build_dir := Path(__file__).parent / "frontend").exists():
+    os.environ["FRONTEND_BUILD_DIR"] = str(frontend_build_dir)
+
+
+@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 main  # we need set environment variables before importing main
+
+    uvicorn.run(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(
+        "main:app", host=host, port=port, reload=reload, forwarded_allow_ips="*"
+    )
+
+
+if __name__ == "__main__":
+    app()

backend/requirements.txt

@@ -1,57 +1,59 @@
-fastapi
-uvicorn[standard]
-pydantic
-python-multipart
+fastapi==0.111.0
+uvicorn[standard]==0.22.0
+pydantic==2.7.1
+python-multipart==0.0.9
 
-flask
-flask_cors
+Flask==3.0.3
+Flask-Cors==4.0.1
 
-python-socketio
-python-jose
-passlib[bcrypt]
-uuid
+python-socketio==5.11.2
+python-jose==3.3.0
+passlib[bcrypt]==1.7.4
 
-requests
-aiohttp
-peewee
-peewee-migrate
-bcrypt
+requests==2.32.2
+aiohttp==3.9.5
+peewee==3.17.5
+peewee-migrate==1.12.2
+psycopg2-binary==2.9.9
+PyMySQL==1.1.1
+bcrypt==4.1.3
 
-litellm==1.35.17
-litellm[proxy]==1.35.17
+boto3==1.34.110
 
-boto3
+argon2-cffi==23.1.0
+APScheduler==3.10.4
+google-generativeai==0.5.4
 
-argon2-cffi
-apscheduler
-google-generativeai
+langchain==0.2.0
+langchain-community==0.2.0
+langchain-chroma==0.1.1
 
-langchain
-langchain-chroma
-langchain-community
-fake_useragent
-chromadb
-sentence_transformers
-pypdf
-docx2txt
-unstructured
-markdown
-pypandoc
-pandas
-openpyxl
-pyxlsb
-xlrd
+fake-useragent==1.5.1
+chromadb==0.5.0
+sentence-transformers==2.7.0
+pypdf==4.2.0
+docx2txt==0.8
+python-pptx==0.6.23
+unstructured==0.14.0
+Markdown==3.6
+pypandoc==1.13
+pandas==2.2.2
+openpyxl==3.1.2
+pyxlsb==1.0.10
+xlrd==2.0.1
+validators==0.28.1
 
-opencv-python-headless
-rapidocr-onnxruntime
+opencv-python-headless==4.9.0.80
+rapidocr-onnxruntime==1.3.22
 
-fpdf2
-rank_bm25
+fpdf2==2.7.9
+rank-bm25==0.2.2
 
-faster-whisper
+faster-whisper==1.0.2
 
-PyJWT
-pyjwt[crypto]
+PyJWT[crypto]==2.8.0
 
-black
-langfuse
+black==24.4.2
+langfuse==2.33.0
+youtube-transcript-api==0.6.2
+pytube==15.0.0

backend/start.sh

@@ -6,8 +6,9 @@ cd "$SCRIPT_DIR" || exit
 KEY_FILE=.webui_secret_key
 
 PORT="${PORT:-8080}"
+HOST="${HOST:-0.0.0.0}"
 if test "$WEBUI_SECRET_KEY $WEBUI_JWT_SECRET_KEY" = " "; then
-  echo "No WEBUI_SECRET_KEY provided"
+  echo "Loading WEBUI_SECRET_KEY from file, not provided as an environment variable."
 
   if ! [ -e "$KEY_FILE" ]; then
     echo "Generating WEBUI_SECRET_KEY"
@@ -29,4 +30,29 @@ if [ "$USE_CUDA_DOCKER" = "true" ]; then
   export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/lib/python3.11/site-packages/torch/lib:/usr/local/lib/python3.11/site-packages/nvidia/cudnn/lib"
 fi
 
-WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" exec uvicorn main:app --host 0.0.0.0 --port "$PORT" --forwarded-allow-ips '*'
+
+# Check if SPACE_ID is set, if so, configure for space
+if [ -n "$SPACE_ID" ]; then
+  echo "Configuring for HuggingFace Space deployment"
+  if [ -n "$ADMIN_USER_EMAIL" ] && [ -n "$ADMIN_USER_PASSWORD" ]; then
+    echo "Admin user configured, creating"
+    WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" uvicorn main:app --host "$HOST" --port "$PORT" --forwarded-allow-ips '*' &
+    webui_pid=$!
+    echo "Waiting for webui to start..."
+    while ! curl -s http://localhost:8080/health > /dev/null; do
+      sleep 1
+    done
+    echo "Creating admin user..."
+    curl \
+      -X POST "http://localhost:8080/api/v1/auths/signup" \
+      -H "accept: application/json" \
+      -H "Content-Type: application/json" \
+      -d "{ \"email\": \"${ADMIN_USER_EMAIL}\", \"password\": \"${ADMIN_USER_PASSWORD}\", \"name\": \"Admin\" }"
+    echo "Shutting down webui..."
+    kill $webui_pid
+  fi
+
+  export WEBUI_URL=${SPACE_HOST}
+fi
+
+WEBUI_SECRET_KEY="$WEBUI_SECRET_KEY" exec uvicorn main:app --host "$HOST" --port "$PORT" --forwarded-allow-ips '*'

backend/start_windows.bat

@@ -7,13 +7,13 @@ SET "SCRIPT_DIR=%~dp0"
 cd /d "%SCRIPT_DIR%" || exit /b
 
 SET "KEY_FILE=.webui_secret_key"
-SET "PORT=%PORT:8080%"
+IF "%PORT%"=="" SET PORT=8080
 SET "WEBUI_SECRET_KEY=%WEBUI_SECRET_KEY%"
 SET "WEBUI_JWT_SECRET_KEY=%WEBUI_JWT_SECRET_KEY%"
 
 :: Check if WEBUI_SECRET_KEY and WEBUI_JWT_SECRET_KEY are not set
 IF "%WEBUI_SECRET_KEY%%WEBUI_JWT_SECRET_KEY%" == " " (
-    echo No WEBUI_SECRET_KEY provided
+    echo Loading WEBUI_SECRET_KEY from file, not provided as an environment variable.
 
     IF NOT EXIST "%KEY_FILE%" (
         echo Generating WEBUI_SECRET_KEY

backend/static/user-import.csv

@@ -0,0 +1 @@
+Name,Email,Password,Role

backend/utils/misc.py

@@ -1,5 +1,6 @@
 from pathlib import Path
 import hashlib
+import json
 import re
 from datetime import timedelta
 from typing import Optional
@@ -38,9 +39,10 @@ def calculate_sha256_string(string):
 
 
 def validate_email_format(email: str) -> bool:
-    if not re.match(r"[^@]+@[^@]+\.[^@]+", email):
-        return False
-    return True
+    if email.endswith("@localhost"):
+        return True
+
+    return bool(re.match(r"[^@]+@[^@]+\.[^@]+", email))
 
 
 def sanitize_filename(file_name):
@@ -109,3 +111,76 @@ def parse_duration(duration: str) -> Optional[timedelta]:
             total_duration += timedelta(weeks=number)
 
     return total_duration
+
+
+def parse_ollama_modelfile(model_text):
+    parameters_meta = {
+        "mirostat": int,
+        "mirostat_eta": float,
+        "mirostat_tau": float,
+        "num_ctx": int,
+        "repeat_last_n": int,
+        "repeat_penalty": float,
+        "temperature": float,
+        "seed": int,
+        "stop": str,
+        "tfs_z": float,
+        "num_predict": int,
+        "top_k": int,
+        "top_p": float,
+    }
+
+    data = {"base_model_id": None, "params": {}}
+
+    # Parse base model
+    base_model_match = re.search(
+        r"^FROM\s+(\w+)", model_text, re.MULTILINE | re.IGNORECASE
+    )
+    if base_model_match:
+        data["base_model_id"] = base_model_match.group(1)
+
+    # Parse template
+    template_match = re.search(
+        r'TEMPLATE\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
+    )
+    if template_match:
+        data["params"] = {"template": template_match.group(1).strip()}
+
+    # Parse stops
+    stops = re.findall(r'PARAMETER stop "(.*?)"', model_text, re.IGNORECASE)
+    if stops:
+        data["params"]["stop"] = stops
+
+    # Parse other parameters from the provided list
+    for param, param_type in parameters_meta.items():
+        param_match = re.search(rf"PARAMETER {param} (.+)", model_text, re.IGNORECASE)
+        if param_match:
+            value = param_match.group(1)
+            if param_type == int:
+                value = int(value)
+            elif param_type == float:
+                value = float(value)
+            data["params"][param] = value
+
+    # Parse adapter
+    adapter_match = re.search(r"ADAPTER (.+)", model_text, re.IGNORECASE)
+    if adapter_match:
+        data["params"]["adapter"] = adapter_match.group(1)
+
+    # Parse system description
+    system_desc_match = re.search(
+        r'SYSTEM\s+"""(.+?)"""', model_text, re.DOTALL | re.IGNORECASE
+    )
+    if system_desc_match:
+        data["params"]["system"] = system_desc_match.group(1).strip()
+
+    # Parse messages
+    messages = []
+    message_matches = re.findall(r"MESSAGE (\w+) (.+)", model_text, re.IGNORECASE)
+    for role, content in message_matches:
+        messages.append({"role": role, "content": content})
+
+    if messages:
+        data["params"]["messages"] = messages
+
+    return data

backend/utils/models.py

@@ -0,0 +1,10 @@
+from apps.webui.models.models import Models, ModelModel, ModelForm, ModelResponse
+
+
+def get_model_id_from_custom_model_id(id: str):
+    model = Models.get_model_by_id(id)
+
+    if model:
+        return model.id
+    else:
+        return id

backend/utils/utils.py

@@ -1,7 +1,7 @@
 from fastapi.security import HTTPBearer, HTTPAuthorizationCredentials
 from fastapi import HTTPException, status, Depends
 
-from apps.web.models.users import Users
+from apps.webui.models.users import Users
 
 from pydantic import BaseModel
 from typing import Union, Optional
@@ -89,6 +89,8 @@ def get_current_user(
                 status_code=status.HTTP_401_UNAUTHORIZED,
                 detail=ERROR_MESSAGES.INVALID_TOKEN,
             )
+        else:
+            Users.update_user_last_active_by_id(user.id)
         return user
     else:
         raise HTTPException(
@@ -99,11 +101,15 @@ def get_current_user(
 
 def get_current_user_by_api_key(api_key: str):
     user = Users.get_user_by_api_key(api_key)
+
     if user is None:
         raise HTTPException(
             status_code=status.HTTP_401_UNAUTHORIZED,
             detail=ERROR_MESSAGES.INVALID_TOKEN,
         )
+    else:
+        Users.update_user_last_active_by_id(user.id)
+
     return user
 
 

confirm_remove.sh

@@ -2,7 +2,12 @@
 echo "Warning: This will remove all containers and volumes, including persistent data. Do you want to continue? [Y/N]"
 read ans
 if [ "$ans" == "Y" ] || [ "$ans" == "y" ]; then
-  docker-compose down -v
+  command docker-compose 2>/dev/null
+  if [ "$?" == "0" ]; then
+    docker-compose down -v
+  else
+    docker compose down -v
+  fi
 else
   echo "Operation cancelled."
 fi

cypress.config.ts

@@ -0,0 +1,8 @@
+import { defineConfig } from 'cypress';
+
+export default defineConfig({
+	e2e: {
+		baseUrl: 'http://localhost:8080'
+	},
+	video: true
+});

cypress/e2e/chat.cy.ts

@@ -0,0 +1,101 @@
+// eslint-disable-next-line @typescript-eslint/triple-slash-reference
+/// <reference path="../support/index.d.ts" />
+
+// These tests run through the chat flow.
+describe('Settings', () => {
+	// Wait for 2 seconds after all tests to fix an issue with Cypress's video recording missing the last few frames
+	after(() => {
+		// eslint-disable-next-line cypress/no-unnecessary-waiting
+		cy.wait(2000);
+	});
+
+	beforeEach(() => {
+		// Login as the admin user
+		cy.loginAdmin();
+		// Visit the home page
+		cy.visit('/');
+	});
+
+	context('Ollama', () => {
+		it('user can select a model', () => {
+			// Click on the model selector
+			cy.get('button[aria-label="Select a model"]').click();
+			// Select the first model
+			cy.get('button[aria-label="model-item"]').first().click();
+		});
+
+		it('user can perform text chat', () => {
+			// Click on the model selector
+			cy.get('button[aria-label="Select a model"]').click();
+			// Select the first model
+			cy.get('button[aria-label="model-item"]').first().click();
+			// Type a message
+			cy.get('#chat-textarea').type('Hi, what can you do? A single sentence only please.', {
+				force: true
+			});
+			// Send the message
+			cy.get('button[type="submit"]').click();
+			// User's message should be visible
+			cy.get('.chat-user').should('exist');
+			// Wait for the response
+			cy.get('.chat-assistant', { timeout: 120_000 }) // .chat-assistant is created after the first token is received
+				.find('div[aria-label="Generation Info"]', { timeout: 120_000 }) // Generation Info is created after the stop token is received
+				.should('exist');
+		});
+
+		it('user can share chat', () => {
+			// Click on the model selector
+			cy.get('button[aria-label="Select a model"]').click();
+			// Select the first model
+			cy.get('button[aria-label="model-item"]').first().click();
+			// Type a message
+			cy.get('#chat-textarea').type('Hi, what can you do? A single sentence only please.', {
+				force: true
+			});
+			// Send the message
+			cy.get('button[type="submit"]').click();
+			// User's message should be visible
+			cy.get('.chat-user').should('exist');
+			// Wait for the response
+			cy.get('.chat-assistant', { timeout: 120_000 }) // .chat-assistant is created after the first token is received
+				.find('div[aria-label="Generation Info"]', { timeout: 120_000 }) // Generation Info is created after the stop token is received
+				.should('exist');
+			// spy on requests
+			const spy = cy.spy();
+			cy.intercept('GET', '/api/v1/chats/*', spy);
+			// Open context menu
+			cy.get('#chat-context-menu-button').click();
+			// Click share button
+			cy.get('#chat-share-button').click();
+			// Check if the share dialog is visible
+			cy.get('#copy-and-share-chat-button').should('exist');
+			cy.wrap({}, { timeout: 5000 }).should(() => {
+				// Check if the request was made twice (once for to replace chat object and once more due to change event)
+				expect(spy).to.be.callCount(2);
+			});
+		});
+
+		it('user can generate image', () => {
+			// Click on the model selector
+			cy.get('button[aria-label="Select a model"]').click();
+			// Select the first model
+			cy.get('button[aria-label="model-item"]').first().click();
+			// Type a message
+			cy.get('#chat-textarea').type('Hi, what can you do? A single sentence only please.', {
+				force: true
+			});
+			// Send the message
+			cy.get('button[type="submit"]').click();
+			// User's message should be visible
+			cy.get('.chat-user').should('exist');
+			// Wait for the response
+			cy.get('.chat-assistant', { timeout: 120_000 }) // .chat-assistant is created after the first token is received
+				.find('div[aria-label="Generation Info"]', { timeout: 120_000 }) // Generation Info is created after the stop token is received
+				.should('exist');
+			// Click on the generate image button
+			cy.get('[aria-label="Generate Image"]').click();
+			// Wait for image to be visible
+			cy.get('img[data-cy="image"]', { timeout: 60_000 }).should('be.visible');
+		});
+	});
+});

cypress/e2e/registration.cy.ts

@@ -0,0 +1,52 @@
+// eslint-disable-next-line @typescript-eslint/triple-slash-reference
+/// <reference path="../support/index.d.ts" />
+import { adminUser } from '../support/e2e';
+
+// These tests assume the following defaults:
+// 1. No users exist in the database or that the test admin user is an admin
+// 2. Language is set to English
+// 3. The default role for new users is 'pending'
+describe('Registration and Login', () => {
+	// Wait for 2 seconds after all tests to fix an issue with Cypress's video recording missing the last few frames
+	after(() => {
+		// eslint-disable-next-line cypress/no-unnecessary-waiting
+		cy.wait(2000);
+	});
+
+	beforeEach(() => {
+		cy.visit('/');
+	});
+
+	it('should register a new user as pending', () => {
+		const userName = `Test User - ${Date.now()}`;
+		const userEmail = `cypress-${Date.now()}@example.com`;
+		// Toggle from sign in to sign up
+		cy.contains('Sign up').click();
+		// Fill out the form
+		cy.get('input[autocomplete="name"]').type(userName);
+		cy.get('input[autocomplete="email"]').type(userEmail);
+		cy.get('input[type="password"]').type('password');
+		// Submit the form
+		cy.get('button[type="submit"]').click();
+		// Wait until the user is redirected to the home page
+		cy.contains(userName);
+		// Expect the user to be pending
+		cy.contains('Check Again');
+	});
+
+	it('can login with the admin user', () => {
+		// Fill out the form
+		cy.get('input[autocomplete="email"]').type(adminUser.email);
+		cy.get('input[type="password"]').type(adminUser.password);
+		// Submit the form
+		cy.get('button[type="submit"]').click();
+		// Wait until the user is redirected to the home page
+		cy.contains(adminUser.name);
+		// Dismiss the changelog dialog if it is visible
+		cy.getAllLocalStorage().then((ls) => {
+			if (!ls['version']) {
+				cy.get('button').contains("Okay, Let's Go!").click();
+			}
+		});
+	});
+});

cypress/e2e/settings.cy.ts

@@ -0,0 +1,84 @@
+// eslint-disable-next-line @typescript-eslint/triple-slash-reference
+/// <reference path="../support/index.d.ts" />
+import { adminUser } from '../support/e2e';
+
+// These tests run through the various settings pages, ensuring that the user can interact with them as expected
+describe('Settings', () => {
+	// Wait for 2 seconds after all tests to fix an issue with Cypress's video recording missing the last few frames
+	after(() => {
+		// eslint-disable-next-line cypress/no-unnecessary-waiting
+		cy.wait(2000);
+	});
+
+	beforeEach(() => {
+		// Login as the admin user
+		cy.loginAdmin();
+		// Visit the home page
+		cy.visit('/');
+		// Click on the user menu
+		cy.get('button[aria-label="User Menu"]').click();
+		// Click on the settings link
+		cy.get('button').contains('Settings').click();
+	});
+
+	context('General', () => {
+		it('user can open the General modal and hit save', () => {
+			cy.get('button').contains('General').click();
+			cy.get('button').contains('Save').click();
+		});
+	});
+
+	context('Connections', () => {
+		it('user can open the Connections modal and hit save', () => {
+			cy.get('button').contains('Connections').click();
+			cy.get('button').contains('Save').click();
+		});
+	});
+
+	context('Models', () => {
+		it('user can open the Models modal', () => {
+			cy.get('button').contains('Models').click();
+		});
+	});
+
+	context('Interface', () => {
+		it('user can open the Interface modal and hit save', () => {
+			cy.get('button').contains('Interface').click();
+			cy.get('button').contains('Save').click();
+		});
+	});
+
+	context('Audio', () => {
+		it('user can open the Audio modal and hit save', () => {
+			cy.get('button').contains('Audio').click();
+			cy.get('button').contains('Save').click();
+		});
+	});
+
+	context('Images', () => {
+		it('user can open the Images modal and hit save', () => {
+			cy.get('button').contains('Images').click();
+			// Currently fails because the backend requires a valid URL
+			// cy.get('button').contains('Save').click();
+		});
+	});
+
+	context('Chats', () => {
+		it('user can open the Chats modal', () => {
+			cy.get('button').contains('Chats').click();
+		});
+	});
+
+	context('Account', () => {
+		it('user can open the Account modal and hit save', () => {
+			cy.get('button').contains('Account').click();
+			cy.get('button').contains('Save').click();
+		});
+	});
+
+	context('About', () => {
+		it('user can open the About modal', () => {
+			cy.get('button').contains('About').click();
+		});
+	});
+});

cypress/support/e2e.ts

@@ -0,0 +1,73 @@
+/// <reference types="cypress" />
+
+export const adminUser = {
+	name: 'Admin User',
+	email: 'admin@example.com',
+	password: 'password'
+};
+
+const login = (email: string, password: string) => {
+	return cy.session(
+		email,
+		() => {
+			// Visit auth page
+			cy.visit('/auth');
+			// Fill out the form
+			cy.get('input[autocomplete="email"]').type(email);
+			cy.get('input[type="password"]').type(password);
+			// Submit the form
+			cy.get('button[type="submit"]').click();
+			// Wait until the user is redirected to the home page
+			cy.get('#chat-search').should('exist');
+			// Get the current version to skip the changelog dialog
+			if (localStorage.getItem('version') === null) {
+				cy.get('button').contains("Okay, Let's Go!").click();
+			}
+		},
+		{
+			validate: () => {
+				cy.request({
+					method: 'GET',
+					url: '/api/v1/auths/',
+					headers: {
+						Authorization: 'Bearer ' + localStorage.getItem('token')
+					}
+				});
+			}
+		}
+	);
+};
+
+const register = (name: string, email: string, password: string) => {
+	return cy
+		.request({
+			method: 'POST',
+			url: '/api/v1/auths/signup',
+			body: {
+				name: name,
+				email: email,
+				password: password
+			},
+			failOnStatusCode: false
+		})
+		.then((response) => {
+			expect(response.status).to.be.oneOf([200, 400]);
+		});
+};
+
+const registerAdmin = () => {
+	return register(adminUser.name, adminUser.email, adminUser.password);
+};
+
+const loginAdmin = () => {
+	return login(adminUser.email, adminUser.password);
+};
+
+Cypress.Commands.add('login', (email, password) => login(email, password));
+Cypress.Commands.add('register', (name, email, password) => register(name, email, password));
+Cypress.Commands.add('registerAdmin', () => registerAdmin());
+Cypress.Commands.add('loginAdmin', () => loginAdmin());
+
+before(() => {
+	cy.registerAdmin();
+});

cypress/support/index.d.ts

@@ -0,0 +1,11 @@
+// load the global Cypress types
+/// <reference types="cypress" />
+
+declare namespace Cypress {
+	interface Chainable {
+		login(email: string, password: string): Chainable<Element>;
+		register(name: string, email: string, password: string): Chainable<Element>;
+		registerAdmin(): Chainable<Element>;
+		loginAdmin(): Chainable<Element>;
+	}
+}

cypress/tsconfig.json

@@ -0,0 +1,7 @@
+{
+	"extends": "../tsconfig.json",
+	"compilerOptions": {
+		"inlineSourceMap": true,
+		"sourceMap": false
+	}
+}

docker-compose.a1111-test.yaml

@@ -0,0 +1,31 @@
+# This is an overlay that spins up stable-diffusion-webui for integration testing
+# This is not designed to be used in production
+services:
+  stable-diffusion-webui:
+    # Not built for ARM64
+    platform: linux/amd64
+    image: ghcr.io/neggles/sd-webui-docker:latest
+    restart: unless-stopped
+    environment:
+      CLI_ARGS: "--api --use-cpu all --precision full --no-half --skip-torch-cuda-test --ckpt /empty.pt --do-not-download-clip --disable-nan-check --disable-opt-split-attention"
+      PYTHONUNBUFFERED: "1"
+      TERM: "vt100"
+      SD_WEBUI_VARIANT: "default"
+    # Hack to get container working on Apple Silicon
+    # Rosetta creates a conflict ${HOME}/.cache folder
+    entrypoint: /bin/bash
+    command:
+      - -c
+      - |
+        export HOME=/root-home
+        rm -rf $${HOME}/.cache
+        /docker/entrypoint.sh python -u webui.py --listen --port $${WEBUI_PORT} --skip-version-check $${CLI_ARGS}
+    volumes:
+      - ./test/test_files/image_gen/sd-empty.pt:/empty.pt
+
+  open-webui:
+    environment:
+      ENABLE_IMAGE_GENERATION: "true"
+      AUTOMATIC1111_BASE_URL: http://stable-diffusion-webui:7860
+      IMAGE_SIZE: "64x64"
+      IMAGE_STEPS: "3"

docker-compose.api.yaml

@@ -1,5 +1,3 @@
-version: '3.8'
-
 services:
   ollama:
     # Expose Ollama API outside the container stack

docker-compose.data.yaml

@@ -1,5 +1,3 @@
-version: '3.8'
-
 services:
   ollama:
     volumes:

docker-compose.gpu.yaml

@@ -1,5 +1,3 @@
-version: '3.8'
-
 services:
   ollama:
     # GPU support

docker-compose.yaml

@@ -1,5 +1,3 @@
-version: '3.8'
-
 services:
   ollama:
     volumes:

docs/CONTRIBUTING.md

@@ -17,7 +17,7 @@ If your issue or contribution pertains directly to the core Ollama technology, p
 
 ### 🚨 Reporting Issues
 
-Noticed something off? Have an idea? Check our [Issues tab](https://github.com/open-webui/oopen-webui/issues) to see if it's already been reported or suggested. If not, feel free to open a new issue. When reporting an issue, please follow our issue templates. These templates are designed to ensure that all necessary details are provided from the start, enabling us to address your concerns more efficiently.
+Noticed something off? Have an idea? Check our [Issues tab](https://github.com/open-webui/open-webui/issues) to see if it's already been reported or suggested. If not, feel free to open a new issue. When reporting an issue, please follow our issue templates. These templates are designed to ensure that all necessary details are provided from the start, enabling us to address your concerns more efficiently.
 
 > [!IMPORTANT]
 >
@@ -54,7 +54,7 @@ Help us make Open WebUI more accessible by improving documentation, writing tuto
 
 Help us make Open WebUI available to a wider audience. In this section, we'll guide you through the process of adding new translations to the project.
 
-We use JSON files to store translations. You can find the existing translation files in the `src/lib/i18n/locales` directory. Each directory corresponds to a specific language, for example, `en-US` for English (US), `fr-FR` for French (France) and so on. You can refer to [ISO 639 Language Codes][http://www.lingoes.net/en/translator/langcode.htm] to find the appropriate code for a specific language.
+We use JSON files to store translations. You can find the existing translation files in the `src/lib/i18n/locales` directory. Each directory corresponds to a specific language, for example, `en-US` for English (US), `fr-FR` for French (France) and so on. You can refer to [ISO 639 Language Codes](http://www.lingoes.net/en/translator/langcode.htm) to find the appropriate code for a specific language.
 
 To add a new language:
 

hatch_build.py

@@ -0,0 +1,23 @@
+# noqa: INP001
+import os
+import shutil
+import subprocess
+from sys import stderr
+
+from hatchling.builders.hooks.plugin.interface import BuildHookInterface
+
+
+class CustomBuildHook(BuildHookInterface):
+    def initialize(self, version, build_data):
+        super().initialize(version, build_data)
+        stderr.write(">>> Building Open Webui frontend\n")
+        npm = shutil.which("npm")
+        if npm is None:
+            raise RuntimeError(
+                "NodeJS `npm` is required for building Open Webui but it was not found"
+            )
+        stderr.write("### npm install\n")
+        subprocess.run([npm, "install"], check=True)  # noqa: S603
+        stderr.write("\n### npm run build\n")
+        os.environ["APP_BUILD_HASH"] = version
+        subprocess.run([npm, "run", "build"], check=True)  # noqa: S603