- Introduced MessageContentPart and ImageURL types to allow for multi-content messages that can include both text and images.
- Updated the Message struct to include a MultiContent field for handling multiple message parts.
- Modified the ConvertMessages function to prioritize processing of multi-content messages, improving the handling of user messages with images.
These changes enhance the flexibility and functionality of chat messages, enabling richer content delivery.
- Removed outdated instructions regarding the `skip_kb_search` field in the conversation configuration.
- Clarified requirements for `image_description` to ensure it is non-empty when images are present.
- Adjusted the handling of message parts in the chat pipeline to improve image processing.
- Deleted unused migration files related to image handling in the database schema.
These changes enhance the clarity and functionality of the conversation and image processing logic.
- Updated configuration to improve handling of multimodal queries, including clearer guidelines for when to use [NO_SEARCH] in responses.
- Enhanced the user interface to include dedicated sections for multimodal configuration, allowing users to manage image uploads and related settings more effectively.
- Added localization support for new multimodal features in both English and Chinese, improving accessibility for a broader audience.
- Implemented backend changes to support image analysis and extraction of OCR text, enriching the interaction experience for users.
These enhancements significantly improve the application's capability to process and respond to multimodal queries, fostering a more interactive and user-friendly environment.
- Added functionality for image uploads in chat, allowing users to attach images for multimodal Q&A.
- Enhanced the input field to handle image selection via drag-and-drop and paste, with validation for file types and sizes.
- Updated the backend to process images alongside text queries, including support for image analysis.
- Introduced new UI components for image previews and management, improving user interaction with uploaded content.
- Added localization strings for image upload features and error messages, enhancing accessibility for users in multiple languages.
These changes significantly improve the chat experience by enabling users to incorporate images into their queries, facilitating richer interactions and responses.
Prevents 400 Bad Request errors when uploading documents with large
tables or code blocks by adding hard limits in buildUnitsWithProtection
and mergeUnits functions.
- 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.
- 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.
Ollama API returns reasoning model output in Message.Thinking field,
but OllamaChat only reads Message.Content. Add thinking content
handling for both streaming and non-streaming, consistent with
RemoteAPIChat behavior.
Handle thinking models that return wrapped content even when
Thinking=false is configured. This is a fallback strategy for models
like MiniMax-M2.1 that do not fully support the Thinking parameter.
The thinking tags and their enclosed content are completely stripped.
Remove '/embeddings' suffix from ZhipuEmbeddingBaseURL to align with
Chat and Rerank BaseURL patterns. The OpenAIEmbedder automatically
appends '/embeddings' to the baseURL, so including it in the constant
would result in duplicate '/embeddings/embeddings' in the final URL.
ChatTemplateKwargs parameter is only supported by custom backends
like vLLM. OpenAI API does not support this parameter and returns
400 Bad Request error.
This change conditionally includes ChatTemplateKwargs only when
the provider is ProviderGeneric (custom deployment).
Fixes connection test failure for OpenAI models with error:
"Unrecognized request argument supplied: chat_template_kwargs"
- Added support for tracking the status of FAQ import tasks, including progress indicators for ongoing imports.
- Introduced new localization strings for processing tasks and batch operations in multiple languages.
- Updated the FAQ entry manager to display import progress and improved user feedback during the import process.
- Enhanced the KnowledgeBase component to reflect the processing state of knowledge items, improving user experience during document uploads.
- Implemented batch deletion functionality for chunks, streamlining the management of knowledge base content.
- Updated agent configuration to support separate system prompts for web search enabled and disabled states.
- Removed deprecated agent configuration parameters to streamline settings management.
- Enhanced UI components in AgentSettings.vue to allow configuration of custom prompts based on web search status.
- Improved localization in English, Russian, and Chinese for new prompt settings and UI elements.
- Refactored related API and service logic to accommodate changes in agent configuration structure.
- Added functionality for manual knowledge entry, allowing users to create and edit Markdown content directly in the browser.
- Introduced new API endpoints for creating and updating manual knowledge entries.
- Enhanced UI components to support the new manual knowledge editor, including integration with existing knowledge base features.
- Updated knowledge retrieval logic to accommodate manual entries, ensuring seamless user experience across knowledge types.
- Improved agent configuration to support custom system prompts, enhancing flexibility in agent responses.
- Added 'logs/' and '*.pid' to .gitignore to exclude log files and process ID files from version control.
- Expanded Makefile with new development commands for easier local environment management, including 'dev-start', 'dev-stop', 'dev-restart', 'dev-logs', 'dev-status', 'dev-app', and 'dev-frontend'.
- Updated README_CN.md to include instructions for the new development mode and commands for improved developer experience.
wizardchen