- Add new "vision" chat mode to the application
- Implement the `visionChatMode` function to handle vision-based chat interactions
- Update the UI to include a new button to toggle the vision chat mode
- Add new translations for the "vision" chat mode tooltip
- Disable certain UI elements when the vision chat mode is active
- Update the styles and layout of the "New Chat" and dropdown buttons in the NewChat component
- Rounded the buttons to match the design
- Adjusted the spacing and alignment of the button elements
- Ensured consistent styling between light and dark modes
This commit extends the `MessageSource` component to support the `chat` mode in addition to the existing `rag` mode. This allows the component to handle and display messages from both chat and RAG (Rapid Automated Generation) sources.
This commit enhances the `PageAssistSelect` component with the following improvements:
- Adds a `ref` to the options container to automatically scroll to the selected option when the dropdown is opened.
- Fixes an issue where the `selectedOption` was not being correctly determined when the `options` array was updated.
- Improves the rendering of the selected option, ensuring that the loading state, placeholder, and selected option are displayed correctly.
- Adds a `data-value` attribute to the option elements to facilitate scrolling to the selected option.
These changes improve the overall user experience and functionality of the `PageAssistSelect` component.
This commit introduces a new `PageAssistSelect` component to the header, which replaces the previous `Select` component for selecting the active chat model. The new component provides improved functionality, including:
- Ability to display provider icons alongside the model name
- Truncation of long model names to ensure they fit within the available space
- Improved loading state handling
- Ability to refresh the model list on demand
These changes enhance the user experience and make it easier for users to quickly select the desired chat model.
Expanded the list of providers for which models are fetched dynamically to include Ollama and Llamafile, removing the need for manual model addition in the user interface for these providers. This simplifies the user experience and ensures users always have access to the latest models without manual intervention.
Adds support for using Ollama 2 as a model provider. This includes:
- Adding Ollama 2 to the list of supported providers in the UI
- Updating the model identification logic to properly handle Ollama 2 models
- Modifying the model loading and runtime configuration to work with Ollama 2
- Implementing Ollama 2 specific functionality in the embedding and chat models
This change allows users to leverage the capabilities of Ollama 2 for both embeddings and conversational AI tasks.
Add support for LlamaFile, a new model provider that allows users to interact with models stored in LlamaFile format. This includes:
- Adding an icon for LlamaFile in the provider selection menu.
- Updating the model provider selection to include LlamaFile.
- Updating the model handling logic to properly identify and process LlamaFile models.
- Updating the API providers list to include LlamaFile.
This enables users to leverage the capabilities of LlamaFile models within the application.
Adds a new "Temporary Chat" mode for quick, non-persistent conversations. The new mode is available in the header bar and will trigger a visually distinct chat experience with a temporary background color. Temporary chats do not save to the chat history and are meant for short, one-off interactions. This feature enhances flexibility and provides a more convenient option for users who need to quickly interact with the AI without committing the conversation to their history.
Adds support for using the currently selected system prompt in the current model settings. This allows users to fine-tune their chat experience based on their preferred prompt.
Adds a new setting to control the maximum number of tokens generated by the model. This provides more control over the length of responses and can be useful for limiting the amount of text generated in certain situations.
This commit introduces a new feature that displays generation information for each message in the chat.
The generation info is displayed in a popover and includes details about the model used, the prompt, and other relevant information. This helps users understand how their messages were generated and troubleshoot any issues that may arise.
The generation info is retrieved from the LLM response and is stored in the database alongside other message details.
This commit also includes translations for the generation info label in all supported languages.
Adds a "Save" button to the edit message form in Playground, allowing users to save changes without immediately submitting them. This also introduces a new `isSend` flag to the `onEditFormSubmit` prop, enabling developers to control whether a message should be sent immediately or saved for later submission. This enhances flexibility and user control during the message editing process.
Adds pin/unpin functionality to the chat history sidebar, allowing users to keep important conversations readily accessible. This improves user experience and helps organize past interactions.
This feature includes:
- Pin/unpin buttons in the chat history sidebar.
- Updated database schema to include `is_pinned` field for chat history items.
- Localized translations for pin/unpin actions.
- Updated UI to display pinned items at the top of the list.
Adds a new "Download Code" button to the code block component, allowing users to download the code displayed for offline use.
This feature enhances user convenience and provides a more versatile experience for exploring and utilizing code snippets.
Refine the Playground's UI to improve user experience:
- Streamline chat window layout for better message readability
- Introduce a knowledge selection dropdown for easier context setting
- Improve image upload integration for a smoother workflow
- Optimize spacing and styling for a more polished visual appearance
Adds an HTML preview feature to the code block component, allowing users to view the rendered output of their HTML code snippets. This improves the user experience by providing a more interactive and informative way to understand the code.
Shorten the displayed embedding model names in the knowledge settings by removing the "embedding" suffix. This improves readability and makes the table more concise.
Adds support for Ollama embedding, enabling the use of Ollama as an embedding model for RAG.
This allows users to leverage Ollama's advanced embedding capabilities for better document understanding and retrieval.
