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 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.
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
Add a provider selection dropdown to the OpenAI settings, enabling users to choose from pre-configured options like "Azure" or "Custom." This streamlines setup and allows for more flexibility in configuring OpenAI API endpoints. The dropdown pre-populates base URLs and names based on the selected provider.
The dropdown also automatically populates base URLs and names based on the selected provider, further simplifying the configuration process.
Adds a collapsible section to the playground message that displays citations for the response. This is intended to help users better understand the sources used by the model.
