- Updated the AgentEngine to emit final answer events even when the LLM stops without calling the final_answer tool, ensuring the frontend can render responses correctly.
- Added fallback logic in the AgentStreamHandler to emit final answers as fallback events when no answer events are streamed, improving robustness in edge cases.
- Introduced the final_answer tool to ensure agents submit their complete responses as the last action, improving response accuracy and consistency.
- Updated the agent engine to log detailed information about tool calls and responses, including the total duration of agent execution.
- Enhanced the chat message model to include agent_duration_ms, tracking the total execution time from query start to answer delivery.
- Implemented JSON field extraction for streaming responses, allowing for more efficient handling of tool call outputs.
These changes significantly improve the agent's response handling and ensure that final answers are consistently delivered, enhancing overall user experience.
- Introduced a new `is_fallback` property to track when responses are generated without knowledge base matches.
- Updated the chat components to display fallback hints and indicators in the UI, enhancing user awareness of fallback responses.
- Added translations for fallback hints in multiple languages, improving accessibility for diverse users.
- Modified backend logic to emit fallback status in response events, ensuring consistent handling across the application.
These changes improve the user experience by providing clear feedback on fallback responses, enhancing the overall interaction with the chat system.
- Added a new `.env.lite.example` file for the Lite version, providing a minimal configuration template.
- Updated `.env.example` to remove deprecated variables and include new Docreader settings.
- Enhanced Docker configurations to support the Lite version, including a new Dockerfile for the Docreader service.
- Introduced a Makefile target for building and running the Lite version, along with packaging capabilities.
- Created GitHub workflows for building and releasing Lite binaries, including Homebrew formula support.
- Implemented a new service file for managing the Lite version as a system service.
This update enables a streamlined, single-binary deployment of WeKnora, reducing external dependencies and simplifying setup.
- Removed outdated DEVELOPMENT.md, consolidating development instructions into relevant documentation.
- Updated conversation configuration to include new parameters such as max rounds, embedding thresholds, and rewrite prompts.
- Enhanced UI components to support new conversation settings, including AgentSettings.vue and related views.
- Improved localization in English, Russian, and Chinese for new conversation configuration fields and UI elements.
- Implemented logic to apply tenant-specific conversation settings, ensuring defaults are respected.
- Added duration tracking for agent steps and tool calls, improving event data accuracy.
- Updated AgentStreamDisplay and ToolResultRenderer components to include fallback headers and improved output styling.
- Refactored duration handling in the agent engine and session management to ensure consistent duration reporting.
- Enhanced UI elements for better user experience, including scrollable output areas and improved tooltip visibility.
- Added logic to load and manage web search configuration in the InputField component, ensuring proper handling of web search states.
- Implemented user notifications for unconfigured web search settings, guiding users to the appropriate settings page.
- Enhanced the AgentStreamDisplay component to improve tooltip content rendering for knowledge base citations.
- Updated event data structures to include total duration in milliseconds for better precision in agent completion events.
- Refactored citation handling to ensure inline citations are displayed correctly, improving user experience in content rendering.
- Added Swiper library to package dependencies for improved UI components.
- Updated chat API to include summary model ID in message handling, allowing for more flexible model selection.
- Enhanced InputField component to manage model selection and state more effectively.
- Improved event handling in chat components to support new model features and ensure accurate message processing.
- Refactored SVG assets for better visual consistency and updated styles for improved user experience.
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