- Support using image generation models like Flux via Replicate
- Modularize the image generation code
- Make generate better image prompt chat actor add composition details
- Generate vivid images with DALLE-3
Enables using any image generation model on Replicate's Predictions
API endpoints.
The server admin just needs to add text-to-image model on the
server/admin panel in organization/model_name format and input their
Replicate API key with it
Create db migration (including merge)
Set sender email using `RESEND_EMAIL` environment variable for magic link sent via Resend API for authentication . It was previously hard-coded. This prevented hosting Khoj on other domains.
Resolves#908
- Major
- The new O1 series doesn't seem to support streaming, response_format enforcement,
stop words or temperature currently.
- Remove any markdown json codeblock in chat actors expecting json responses
- Minor
- Override block display styling of links by Katex in chat messages
Strip any json md codeblock wrapper if exists before processing
response by output mode, extract questions chat actor. This is similar
to what is already being done by other chat actors
Useful for succesfully interpreting json output in chat actors when
using non (json) schema enforceable models like o1 and gemma-2
Use conversation helper function to centralize the json md codeblock
removal code
This happens sometimes when LLM respons contains [\[1\]] kind of links
as reference. Both markdown-it and katex apply styling.
Katex's span uses display: block which makes the rendering of these
references take up a whole line by themselves.
Override block styling of spans within an `a' element to prevent such
chat message styling issues
* Add functions to chat with Google's gemini model series
* Gracefully close thread when there's an exception in the gemini llm thread
* Use enums for verifying the chat model option type
* Add a migration to add the gemini chat model type to the db model
* Fix chat model selection verification and math prompt tuning
* Fix extract questions method with gemini. Enforce json response in extract questions.
* Add standard stop sequence for Gemini chat response generation
---------
Co-authored-by: sabaimran <narmiabas@gmail.com>
Co-authored-by: Debanjum Singh Solanky <debanjum@gmail.com>
Additional logging was enabled to debug automation failures in
production since migration chat API to use POST request method (from
earlier GET).
Redirect from http to https was default to use GET instead of POST
method to call /api/chat on redirect. This has been resolved now
Get information sources and get output mode don't actually see the
images. They just get placeholder text to indicate that the user
attached an image to their message for context
- Make train of thought icons to be top aligned, next to the
their intermediate step heading
- Add margin bottom to ordered, unordered lists in chat message,
similar to how it is already added for paragraphs
# Summary of Changes
* New UI to show preview of image uploads
* ChatML message changes to support gpt-4o vision based responses on images
* AWS S3 image uploads for persistent image context in conversations
* Database changes to have `vision_enabled` option in server admin panel while configuring models
* Render previously uploaded images in the chat history, show uploaded images for pending msgs
* Pass the uploaded_image_url through to subqueries
* Allow image to render upon first message from the homepage
* Add rendering support for images to shared chat as well
* Fix some UI/functionality bugs in the share page
* Convert user attached images for chat to webp format before upload
* Use placeholder to attached image for data source, response mode actors
* Update all clients to call /api/chat as a POST instead of GET request
* Fix copying chat messages with images to clipboard
TLDR; Add vision support for openai models on Khoj via the web UI!
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Co-authored-by: sabaimran <narmiabas@gmail.com>
Co-authored-by: Debanjum Singh Solanky <debanjum@gmail.com>
