This feature allows you to generate and iteratively refine visual designs
(like posters, logos, etc.) directly through the chat interface.
Key changes include:
1. **Backend - Intent Detection & Processing:**
* I've introduced an `ImageGenerationIntentDetector` in `backend/open_webui/utils/intent_processors.py`. This function:
* Uses keyword-based intent detection for new designs and refinements.
* Extracts prompts from your messages.
* Modifies previous prompts for iterative refinements.
* Calls the existing `/api/v1/images/generations` endpoint using `httpx`.
* Formats the response (image URL or error) as a chat message, including metadata like `is_generated_design`, `original_prompt`, and `engine_used`.
* I've integrated this detector into the main chat processing logic in `backend/open_webui/utils/chat.py`. Design generation requests are now handled by the detector, bypassing the LLM if intent is recognized.
2. **Frontend - Image Display:**
* My analysis confirmed that existing Svelte components (`MarkdownInlineTokens.svelte` using `Image.svelte`) are capable of rendering Markdown-formatted image URLs (``) sent by the backend.
* The `Image.svelte` component also provides an image preview feature.
3. **Design Management (MVP Approach):**
* For the MVP, generated images are saved via the existing file upload mechanism.
* The chat history, with messages containing image URLs and generation metadata, serves as the primary way for you to access and track their designs and refinements. No new database models for explicit design management were added.
4. **Dependencies:**
* I've added `httpx>=0.25.0` to `backend/requirements.txt` to ensure the HTTP client for the intent detector is explicitly listed.
5. **Documentation:**
* I've drafted updates for `README.md` to highlight the new "AI-Powered Design Generation" feature, replacing the previous, more basic "Image Generation Integration" description.
**Testing Plan:**
* I've prepared detailed manual end-to-end test cases, unit test cases for the `ImageGenerationIntentDetector`, and a frontend visual review checklist to guide developer testing.
This set of changes provides the core functionality for you to conversationally create and refine designs within Open WebUI.
