- Added environment variables for Vertex AI and Azure OpenAI configurations in docker-compose and user configuration models.
- Updated the application logic to handle Vertex and Azure as new LLM providers, including validation and API key management.
- Enhanced the UI components to support model selection and API key input for Vertex and Azure.
- Updated relevant utility functions and constants to accommodate the new providers.
- Ensured proper error handling for configuration requirements specific to Vertex and Azure.
- Introduced a new `ChatHistoryMessageModel` to persist chat messages in the database.
- Implemented a migration script to create the `chat_history_messages` table.
- Enhanced chat services to support storing and retrieving chat history.
- Added functionality for generating multiple media assets in a single API call.
- Updated the chat UI to display assistant activities and tool usage more effectively.
- Refactored API calls to use absolute URLs for better reliability.
- Replaced all instances of the placeholder image path from "/static/images/placeholder.jpg" to "/static/images/replaceable_template_image.png".
- Added a new Nginx location block for serving app data with a long cache expiration.
- Enhanced the image generation service to return the new template image when generation fails.
- Updated various services and endpoints to ensure consistent handling of asset paths, including resolving backend asset URLs.
- Removed Electron-specific checks from several components to streamline API calls and improve compatibility with web deployments.
- Improved error handling and logging in the PDF export process.
- Adjusted Next.js configuration for API routing to ensure proper asset serving in Docker environments.
- Updated docker-compose.yml to allow disabling embedded Ollama via environment variable.
- Refactored Dockerfile and Dockerfile.dev for improved dependency management and installation process.
- Enhanced FastAPI migration scripts to handle orphaned Alembic revisions and added new database migration logic.
- Improved error handling in background tasks and Codex authentication endpoints.
- Added support for font file uploads with better validation and extraction of font names.
- Introduced new image search functionality with support for Pexels and Pixabay APIs.
Add native support for Open WebUI's image generation API as a new
image provider option. Open WebUI exposes an OpenAI-like
/v1/images/generations endpoint but with key differences that
require special handling:
- Response is a bare JSON array instead of {"data": [...]}
- Image URLs are relative paths (e.g. /api/v1/files/.../content)
- File downloads require the same Bearer auth token
The implementation uses raw HTTP calls via aiohttp rather than the
OpenAI SDK to handle these differences. No model parameter is sent
since Open WebUI manages the image model in its own admin settings.
Backend changes:
- New OPEN_WEBUI enum value in ImageProvider
- generate_image_open_webui() method in ImageGenerationService
- Environment getters/setters for OPEN_WEBUI_IMAGE_URL and
OPEN_WEBUI_IMAGE_API_KEY
- UserConfig model and config loading/saving pipeline updated
Frontend changes:
- New "Open WebUI" option in image provider dropdown
- Settings UI with URL and optional API key fields
- Validation, field mappings, and config persistence
Docker:
- OPEN_WEBUI_IMAGE_URL and OPEN_WEBUI_IMAGE_API_KEY added to all
docker-compose service definitions
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Added Codex authentication endpoints and logic for OAuth flow.
- Updated Docker configuration to expose port 1455 for Codex callback.
- Enhanced user configuration model to include Codex-related fields.
- Integrated Codex selection into the LLM provider UI.
- Implemented token management and refresh logic for Codex.
- Added utility functions for handling Codex OAuth tokens and state management.
