- Remove infrastructure/crypto package (CryptoService, config, PBKDF2-based encryption)
- Replace with lightweight utils.GetAESKey/EncryptAESGCM/DecryptAESGCM helpers
- Remove cryptoSvc dependency from modelService, tenantService, weKnoraCloudService
- Remove crypto state persistence logic from container initialization
- Add TruncatePromptTokens field to WeKnoraCloud embed request
- Update frontend hint text for WeKnoraCloud credential errors
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
IM platforms (WeCom, Feishu, Slack, etc.) cannot render the inline
citation tags produced by the agent pipeline, causing raw tags like
<kb doc="..." chunk_id="..." /> to appear in user-facing messages.
Strip these tags in the IM service layer before sending, while
preserving the original content in the database for web frontend
rendering.
- Extended the IMChannel interface to include WeChat as a platform, supporting long-polling mode and full output mode.
- Implemented WeChat QR code login functionality, allowing users to authenticate via a QR code.
- Added new API endpoints for generating and polling the status of WeChat QR codes.
- Updated the frontend to handle WeChat-specific UI elements and interactions, including dynamic form adjustments based on the selected platform.
- Enhanced localization files to include WeChat-related translations.
- Introduced a WeChat adapter for message handling and file downloading via the iLink Bot API.
Go 1.24 has an internal compiler race condition on Windows that causes
'package without types' errors during parallel compilation. Setting
GOFLAGS="-p=1" serializes the build and avoids triggering the bug.
Introduce the VectorStore domain model as a foundation for multi-store
vector DB architecture (Phase 1, PR 1/4).
- VectorStore entity with ConnectionConfig (AES-GCM encrypted) and IndexConfig
- VectorStoreRepository interface and GORM implementation (CRUD + duplicate check)
- PostgreSQL migration (000031) and SQLite migration (000001)
- Unit tests for types, encryption, validation, and helpers
- Implement Validate, ListResources, FetchAll, FetchIncremental
- Per-record database sync with individual knowledge items
- Incremental sync with record-level change detection for databases
- Tree-structured resource listing with parent-child relationships
- Markdown renderer for all Notion block types including nested content
- Register NotionConnector in DI container
- Add unit tests for connector and markdown
- Define notionPage, notionBlock, notionParent, notionFile and cursor types
- Implement rate-limited HTTP client with context-aware retry and backoff
- Support search, page/block retrieval, database queries, and file downloads
- Add HasChildren field to Resource type, NotionChannel to knowledge types
- Add unit tests for types and client
WeCom AI Bot does not strip @mention from text.content in group chats,
causing all slash commands (/stop, /clear, /help) to fail — the content
arrives as "@BotName /stop" instead of "/stop".
- Add stripAtMentionBasic (stateless) and stripAtMention (with bot name
caching) to handle multi-word bot display names
- Support bot_name in channel credentials for immediate precision
- Apply stripping in both WebSocket and webhook adapters, text and mixed
- Add mention_test.go with 21 test cases
- Replace content placeholders with LLM instructions for non-text quotes (NonTextType field)
- Intercept image/file messages on channels without KB config
- Wrap text quotes in <quoted_message> XML tags with escape sanitization
- Add nil safety to isQuoteFromBot, move debug logging to callers with real ctx
- Improve reply copy to guide users toward channel KB configuration
- Enhanced the logic for replacing child content with parent content to only apply to text chunks whose parent is a parent_text chunk.
- Added checks to skip non-text chunks and ensure that only appropriate parent chunks are used for replacement, improving content quality and integrity.
- Introduced a new audio file, asr_test.wav, for ASR testing purposes.
- Created embed.go to embed the ASR test audio file as a byte slice.
- Updated initialization.go to utilize the embedded ASR test audio for model transcription checks.
- Implemented a new function to check ASR model connectivity via the /v1/audio/transcriptions endpoint.
- Updated ModelEditorDialog.vue to integrate ASR model checks and adjust UI elements accordingly.
- Enhanced localization files to reflect changes in ASR terminology and descriptions.
- Added ASR configuration options to the knowledge base and updated related migration scripts.
- Refactored model handling to support ASR as a distinct model type in the application.
- Added ASR configuration options to the knowledge base and model settings.
- Implemented ASR model selection and transcription capabilities in the knowledge processing pipeline.
- Enhanced file upload support to include audio formats for ASR processing.
- Updated localization files to include ASR-related labels and descriptions.
- Refactored model handling to accommodate ASR as a new model type.
errors.New("EOF") creates a distinct error instance that doesn't match
io.EOF, causing processRawHTTPStream to silently ignore normal stream
termination without sending a done response.
- SSEReader: return io.EOF instead of errors.New("EOF")
- processRawHTTPStream: handle io.EOF as normal completion, send done
response with usage/toolCalls (aligned with processStream behavior)
Fixes#860
- Added max_input_chars configuration to limit input size for summary generation.
- Updated generate_summary.yaml to clarify summary generation steps and requirements.
- Introduced a new summary section in the document content view to display generated summaries or loading states.
- Refactored doc-content.vue to utilize computed properties for improved performance and readability.
- Enhanced knowledge base hooks to include description and summary status fields for better data handling.
- Updated internationalization files to include new summary-related labels in multiple languages.
- Added logic to determine whether to append the ".keyword" suffix to ID fields based on index mapping.
- Introduced `detectFieldTypes` method to inspect index mappings and set the `useKeywordSuffix` flag accordingly.
- Updated methods to utilize the new `idField` function for consistent ID field querying across the repository.
- Improved logging for better visibility into mapping detection and suffix usage.
Previously, only the original uploaded file was deleted via knowledge.FilePath.
Images extracted by the builtin parser (stored as individual S3/MinIO/local files
via ImageResolver) were never cleaned up, causing orphan files to accumulate.
- Add ListImageInfoByKnowledgeIDs repository method (no chunk_type filter)
- Add collectImageURLs utility with URL deduplication and JSON parse logging
- Add deleteExtractedImages helper (standalone, best-effort with error logging)
- Fix DeleteKnowledge: collect image URLs before errgroup, delete in file goroutine
- Fix DeleteKnowledgeList: bulk collect with KB-level fileSvc mapping
- Fix cleanupKnowledgeResources: collect before chunk deletion, delete after
- Fix ProcessKBDelete: collect before chunk deletion for KB-wide cleanup
- Add DefaultLanguage() that reads WEKNORA_LANGUAGE env with zh-CN fallback
- Replace hardcoded zh-CN in LanguageNameFromContext with DefaultLanguage()
- Unify middleware/language.go to use types.DefaultLanguage()
- Add Language field to DocumentProcessPayload (8 enqueue sites + worker restore)
- Add Language field to ImageMultimodalPayload (enqueue + worker restore)
- Propagate language from ImageMultimodalPayload to QuestionGenerationPayload
- Implemented logic to filter user-provided KB and knowledge IDs based on the shared agent's allowed scope.
- Added a new method, restrictMentionsToAgentScope, to validate and restrict @mentions, preventing unauthorized access to knowledge bases.
- Enhanced logging to provide visibility into blocked mentions and the filtering process.
- Updated UpdateKnowledgeTagBatch method to include an authorizedKBID parameter for restricting updates to specific knowledge items.
- Implemented validation to ensure that all requested knowledge IDs belong to the authorized knowledge base.
- Enhanced GetKnowledgeBatch and UpdateKnowledgeTagBatch methods to incorporate agent-specific knowledge base access restrictions.
- Added utility functions to resolve allowed knowledge base IDs for agents based on their configuration.
- Updated the question generation template to clarify the role of surrounding context and main content.
- Enhanced quality rules for generated questions to better align with user search intent.
- Revised output format and added explicit instructions on what not to generate.
- Improved logging and output in the web parser for better visibility of parsed content and metadata.
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