* remove connection dot indicators on settings page, better toast message for provider setup dialogs, fix typo in default agent prompt
* format
* open llm model select when toast button to settings is clicked
* fixed docker to old way
* added refetch when nudges are not fetched
* show skip overview just when finishing embedding
* just show children when show layout
* increased total onboarding steps
* made assistant message be saved on local storage to save progress on onboarding
* clean all items from local storage on finish onboarding
* only show navigation when onboarding is complete
* fixed navigation style to not placeholder for new conversation, not show loading state, and to show correct files
* fixed chat losing past message when navigating out of the chat
* fixed conversation be selected even though its a new conversation
* set the messages as just the user message when messages.length is 1
* fixed conversation be selected when exiting onboarding
* Fixed models service to try api key with first available model
* fixed ibm onboarding to not disable query when no data is available
* make ibm query disabled when not configured
* enable ollama query only when configured or endpoint present
* enable get openai models query when already configured
* just enable get from env when not configured
* Simplify ollama models validation
* fix max_tokens error on gpt 4o
* Fixed refetch interval to be 3 seconds when Docling is unhealthy, fixed query to refetch on window focus
* Changed time to refetch provider health
* Added starting state to Docling on the TUI
* Added flows with new components
* commented model provider assignment
* Added agent component display name
* commented provider assignment, assign provider on the generic component, assign custom values
* fixed ollama not showing loading steps, fixed loading steps never being removed
* made embedding and llm model optional on onboarding call
* added isEmbedding handling on useModelSelection
* added isEmbedding on onboarding card, separating embedding from non embedding card
* Added one additional step to configure embeddings
* Added embedding provider config
* Changed settings.py to return if not embedding
* Added editing fields to onboarding
* updated onboarding and flows_service to change embedding and llm separately
* updated templates that needs to be changed with provider values
* updated flows with new components
* Changed config manager to not have default models
* Changed flows_service settings
* Complete steps if not embedding
* Add more onboarding steps
* Removed one step from llm steps
* Added Anthropic as a model for the language model on the frontend
* Added anthropic models
* Added anthropic support on Backend
* Fixed provider health and validation
* Format settings
* Change anthropic logo
* Changed button to not jump
* Changed flows service to make anthropic work
* Fixed some things
* add embedding specific global variables
* updated flows
* fixed ingestion flow
* Implemented anthropic on settings page
* add embedding provider logo
* updated backend to work with multiple provider config
* update useUpdateSettings with new settings type
* updated provider health banner to check for health with new api
* changed queries and mutations to use new api
* changed embedding model input to work with new api
* Implemented provider based config on the frontend
* update existing design
* fixed settings configured
* fixed provider health query to include health check for both the providers
* Changed model-providers to show correctly the configured providers
* Updated prompt
* updated openrag agent
* Fixed settings to allow editing providers and changing llm and embedding models
* updated settings
* changed lf ver
* bump openrag version
* added more steps
* update settings to create the global variables
* updated steps
* updated default prompt
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Co-authored-by: Sebastián Estévez <estevezsebastian@gmail.com>
