Add an opt-in human approval gate so Agent runs pause before executing
MCP tools that operators flag as dangerous, surface an approval card in
the chat UI, and only resume after the user approves (optionally with
edited args) or rejects.
Backend
- New mcp_tool_approvals table + repo/service to mark per-tool approval
required (PG migration 000042 + sqlite init).
- approval.Gate coordinates RequestAndWait / Resolve with sync.Once
delivery, configurable timeout, and Redis Pub/Sub fan-out so multi-
replica deployments work without sticky sessions.
- MCPTool.Execute integrates the gate; uses a round-level ApprovalCtx
(without the per-tool 60s timeout) for the wait, and re-derives a
fresh 60s exec ctx after approval so CallTool keeps a full window.
- New SSE response types (tool_approval_required / _resolved) and
EventBus events plumb approval state to AgentStreamDisplay.
- REST: list/set per-tool approval flag, resolve pending approval.
- Configurable via agent.tool_approval_timeout_seconds (yaml) or
WEKNORA_AGENT_TOOL_APPROVAL_TIMEOUT env (accepts seconds or Go
duration).
Frontend
- MCP settings: per-tool "require approval" switch on the test panel.
- Chat: ToolApprovalCard renders the pause point with editable JSON
args, validation feedback, mm:ss countdown that turns warning/danger
near deadline, and a resolved state that retains context.
- i18n strings added for zh-CN / en-US / ko-KR / ru-RU.
Docs
- docs/zh/mcp-approval.md covering behavior, config, API, deployment
considerations (Redis cross-instance, restart limitations).
The wiki ingest post-process pipeline OOM'd and ran for hours on KBs
with ~40k documents. The dominant tail was a per-batch ListAllPages
that pulled every page (multi-MB content blobs) into Go memory, plus a
24h-TTL Redis pending list whose data could be evicted before a long
serialized backlog drained. dedup did O(P × N) Jaccard scoring in Go
on every batch. Lint loaded the full graph. The index page kept the
entire wiki directory in its content column and rewrote the TOAST
chunk on every ingest. None of these survive at 4w docs.
This change reworks the write path end to end and pulls the durable-
queue + dead-letter primitives out of wiki and into shared
infrastructure that every asynq task type now benefits from.
- migration 000041: task_pending_ops + task_dead_letters tables, plus
three GIN indexes on wiki_pages (source_refs jsonb_path_ops,
source_refs text fallback, lower(title) trgm).
- TaskPendingOpsRepository + TaskDeadLetterRepository in
internal/application/repository/task_queue.go: cursor-paginated
list, atomic IncrFailCount via UPDATE…RETURNING, dedup-key scoped
delete that refuses empty keys so a buggy caller can't wipe a KB's
queue.
- internal/middleware/asynqdl: writes a task_dead_letters row when an
asynq task exhausts its retry budget. Payload-agnostic — a small
probe struct extracts TenantID + scope hints across every existing
payload type, so summary:generation / image:multimodal /
faq_import / kb:clone / etc. all dead-letter without per-handler
code. Best-effort: an insert failure never masks the underlying
task error. Installed in router/task.go before the langfuse mw so
it sees raw errors.
- Pending queue moved Redis → PG (no TTL, restart-durable). Redis
keeps just the active-batch lock and the delete tombstone.
- In-batch retry budget (wikiMaxFailRetries=5) tracked via
pendingRepo.IncrFailCount; over the cap the row is moved to
task_dead_letters with task_type=wiki:ingest, related_id=knowledge
id. Asynq retries (10) are handled by the new middleware.
- Removed the per-batch ListAllPages. WikiBatchContext now carries
lazy fetcher closures (SlugTitleMany, SummaryByKnowledgeID) with
mutex-protected caches; reduce reaches for titles / summaries on
demand instead of pre-loading the whole KB.
- getExistingPageSlugsForKnowledge now uses ListSlugsBySourceRef,
which the new GIN index on source_refs serves as a Bitmap Index
Scan instead of a sequential text LIKE.
- Dedup pre-filter uses pg_trgm via FindSimilarPages
(idx_wiki_pages_title_trgm). For each new entity/concept (and each
of its aliases) we ask the DB for the top-K trigram-similar
existing pages and union the results — bounded prompt size, no Go-
side O(P × M) loop. Small KBs (≤25 entities) bypass the pre-filter.
- cleanDeadLinks / injectCrossLinks are scoped to the batch's
affected slugs (a few dozen) instead of every page in the KB. Both
use the new lite ListBySlugs / ExistsSlugs repo methods so they
pull only slug + title + outlinks, not full content.
- Slug fuzzy resolve (slug_fuzzy.go): when the LLM emits
[[bad-slug|display]] the cleanup path now tries display-text
reverse lookup → hyphen/case normalized equality → char-bigram
Jaccard ≥ 0.8 before stripping. Recovers the common pinyin-word-
break drift case ("shang-hai-tower" vs "shanghai-tower") in place
instead of replacing the link with plain text.
- rebuildIndexPage uses ListByTypeRecent(200) for the first-time
intro and drops the full DocumentSummaries blob from the
incremental update prompt, so its context stays bounded regardless
of KB size.
- Concurrency tunables surfaced in WikiConfig: IngestBatchSize /
IngestMapParallel / IngestReduceParallel, with sensible defaults
via OrDefault helpers. scheduleFollowUp drops to ProcessIn(0) so
follow-ups don't waste asynq retry slots bouncing on the active
lock.
- RunLint walks pages via the new ListPagesCursor in 200-page
windows and computes the live-slug set with a one-column
ListAllSlugs Pluck instead of a Limit:0 GetGraph that materialized
every node + edge. Memory is now bounded; 40k pages walks in
constant ~4MB.
- 14 GORM tests for both repos against an in-memory SQLite mirror of
the production DDL (task_queue_test.go).
- 6 tests for the dead-letter middleware covering retry budget
detection, payload-agnostic scope inference, error truncation, and
repo-failure isolation.
- 7 tests for the slug fuzzy resolve helper covering the three
resolution stages, display-text priority over normalized equality,
bigram fallback acceptance, and rejection of unrelated slugs.
- Existing wiki_ingest / wiki_lint / wiki_page tests updated to the
new fetcher / cursor APIs.
Fixes O(n²) write amplification during wiki ingest on large KBs. Previously
every ingest/retract op re-wrote the single `slug='log'` row end-to-end and
every batch re-wrote the entire `slug='index'` directory markdown. On a 40k-
doc KB the log row grew to tens of MB and the index row to several MB, so
each batch triggered giant TOAST updates that dominated ingest wall time.
Log: new `wiki_log_entries` event table (`id DESC` indexed per KB) replaces
the single TEXT row. Batch ingest now collects entries and flushes them
once per batch via `AppendBatch`. Each entry stores `pages_affected` as
JSONB `[{slug,title}]` so the UI can render real titles; custom Scan falls
back to legacy `[]string` so older rows still deserialize.
Index: `wiki_pages[slug=index].content` keeps only the LLM-generated intro
(a few KB). The directory is now served by a structured paginated API
(`GetIndexView`) that reads `slug/title/summary` per type with cursor
pagination, so the agent and the frontend only pull the slice they need.
`RebuildIndexPage` degrades to a no-op; agent `wiki_read_page('index')`
synthesizes a small top-K overview and points callers at `wiki_search`.
Ingest resilience: LLM calls wrap with 3-attempt exponential backoff on
transient errors (5xx/408/429, transport resets/timeouts). Summary/extract
failures now bubble up so the batch's failed-op requeue path runs instead
of silently dropping the doc.
Frontend: sidebar Index/Log entries switch to dedicated views. Index view
streams intro → Summary → Entity → Concept → Synthesis → Comparison via
IntersectionObserver (with a nextTick re-check so small KBs still load
every section). Log view uses cursor pagination; pages_affected renders
titles with slug tooltip.
- new migration: migrations/versioned/000040_wiki_log_entries.{up,down}.sql
- tests: log repo pagination + legacy Scan, ListByTypeLight windowing,
renderIndexOverviewForAgent output, isTransientLLMError classifier
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
- Apply the session-list additions to the SQLite init migration (Lite build)
and make QueryPaged dialect-aware: LOWER(..) LIKE on SQLite, ILIKE on
Postgres, drop NULLS LAST on SQLite. Escape LIKE wildcards in the keyword
via the existing escapeLikeKeyword helper.
- SetPinned now returns rowsAffected so the handler can respond 404 on
unknown / unauthorized session IDs instead of a misleading 200.
- GET /sessions always returns the enriched shape (pin state + IM origin
fields) so the frontend never needs a second roundtrip; the dual-path
legacy branch in the handler is gone.
- Register pin routes with the wildcard name that matches each verb's
existing radix tree (POST :session_id, DELETE :id) and accept either
param name in the handler; avoids gin's "wildcard conflicts" panic.
- Drop the redundant [platform] prefix from IM session titles now that
the list renders a platform icon alongside the title; add unit tests
for shortID / buildUserSessionTitle / buildThreadSessionTitle.
- Frontend: remove the submenu search input and its i18n/keyword wiring
(search lives elsewhere in the app); pin icon uses the TDesign `pin`
glyph and inherits color so the active session turns green; optimistic
pin moves the item to the top of the list so it shows up at the top
of the Pinned group; IM text badge replaced by the platform SVG icons
from assets/img/im, desaturated by default and full-color on hover
or when the session is active.
Sessions today are a flat list ordered by updated_at. Two gaps showed up in
practice:
- Users cannot find specific chats as the list grows beyond a screen.
- IM-created sessions (WeCom/Feishu/Slack/...) are indistinguishable:
every title was "IM-<platform>" or "IM-<platform>-<username>" and the
list API hid the underlying im_channel_sessions mapping, so admins had
no way to tell which Feishu group a session came from.
Backend
- Migration 000039 adds sessions.user_id (owner), is_pinned, pinned_at
plus a composite index for the list query. Existing rows keep user_id
NULL and stay visible at the tenant level for backward compatibility.
- CreateSession now writes the caller's user_id from auth context.
- GET /sessions accepts keyword / source / agent_id. When any filter is
set, the response switches to enriched items that LEFT JOIN
im_channel_sessions and expose im_platform / im_chat_id / im_thread_id
/ im_user_id / im_agent_id / im_channel_id. No filters => legacy shape,
existing clients unaffected.
- Ordering: is_pinned DESC, pinned_at DESC NULLS LAST, updated_at DESC.
- POST/DELETE /sessions/:id/pin for user-scoped pin/unpin.
- IM session titles: "[platform] <user|chat|thread>" with short ID
suffixes so group/DM/thread sessions are visually distinct without
needing a round-trip to fetch a display name from the IM adapter.
Frontend
- Search input debounced at 300ms drives the keyword filter.
- Pinned chats render in a dedicated group above the time-based groups,
with a pin icon and a pin/unpin entry in the per-chat dropdown.
- IM chats get a short [platform] badge in the list.
- Pin toggle is optimistic and guards against double-clicks.
- zh/en/ko/ru i18n keys added for the new strings.
Three bugs fixed:
1. Session cross-contamination (#1066): resolveUserSession and
resolveThreadSession looked up ChannelSession by (platform, user_id,
chat_id, tenant_id) without agent_id. When the same user talked to
two bots bound to different agents under the same tenant, they shared
a session — mixing knowledge base context. Add agent_id to all four
WHERE clauses and update the DB unique indexes to match.
2. Swapped parameters in resolveThreadSession: the SQL expected
(chat_id, thread_id) but Go args passed (threadID, msg.ChatID).
3. Orphaned ChannelSession crash (#1046): deleting a session from the
WeKnora UI soft-deletes it (GORM), but the ChannelSession row
survives because soft-delete doesn't trigger SQL ON DELETE CASCADE.
Subsequent IM messages hit "record not found" on GetSession and the
bot becomes permanently unresponsive. Now detect this case, recycle
the stale mapping, and transparently create a fresh session.
- Deleted migration files for the wiki_pages and wiki_page_issues tables, as well as the indexing_strategy column from knowledge_bases, to clean up the schema.
- This removal streamlines the migration process and ensures that only relevant migrations are retained in the project.
- Introduced extraction granularity settings in the wiki configuration, allowing users to control the level of detail in entity and concept extraction (focused, standard, exhaustive).
- Updated the UI to reflect these new options, including tooltips for better user guidance.
- Refactored the knowledge base editor to support the new extraction granularity feature, ensuring a seamless user experience.
- Improved the backend logic for wiki ingest tasks to utilize the new granularity settings, enhancing the accuracy of extracted content.
- Added tests to validate the new extraction granularity functionality and ensure robust performance across different configurations.
- Introduced multiple new documentation files, including a complete documentation index, quick reference guides, and comprehensive analyses of the knowledge base and wiki settings.
- The new files provide detailed insights into the architecture, data models, API endpoints, and implementation strategies for the knowledge base and wiki functionalities.
- Enhanced navigation and usability for developers and team members by summarizing key components, configurations, and data flows related to the knowledge base system.
These additions significantly improve the clarity and accessibility of documentation, supporting better onboarding and reference for current and future team members.
- Modified the chat creation component to improve layout and responsiveness by adjusting the dialogue answers section.
- Refined the logic in the KnowledgePostProcessService to conditionally spawn wiki ingest tasks based on wiki configuration settings, enhancing task management.
- Added migration scripts for creating and dropping the `wiki_page_issues` table, facilitating better issue tracking within the wiki system.
These changes enhance the user interface for chat creation and improve the backend processing of knowledge base tasks, contributing to a more efficient and user-friendly experience.
- Introduced `encodeSlugPath` function to safely encode wiki slugs for API requests, preserving hierarchical routing.
- Updated API functions to utilize the new slug encoding for `getWikiPage`, `updateWikiPage`, and `deleteWikiPage`.
- Enhanced `ListBySourceRef` method in the repository to safely handle source knowledge IDs with JSON marshalling, improving query security.
- Added `escapeLikePattern` function to ensure safe concatenation of LIKE patterns in SQL queries, preventing unintended matches.
- Updated `KnowledgePostProcessService` to include Redis client for task management, improving performance in handling wiki ingest tasks.
- Enhanced `WikiLintIssue` structure to include `TargetSlug` for better issue tracking and auto-fixing capabilities.
These changes significantly improve the robustness and security of the wiki management system, enhancing user experience and data integrity.
- Added a new tool, `wiki_flag_issue`, enabling users to report factual errors, mixed entities, or outdated information on wiki pages.
- Updated the agent system prompt and tool definitions to include the new tool, enhancing the agent's capabilities for maintaining wiki accuracy.
- Implemented backend functionality for creating, listing, and updating the status of flagged issues, ensuring effective tracking and resolution.
These changes significantly improve the agent's ability to manage and report issues within the wiki, fostering a more reliable knowledge base.
- Introduced `pending_tasks` and `is_active` fields in the `WikiStats` interface to track the number of tasks waiting for processing and the current activity status of the wiki ingestion.
- Updated localization files for English, Korean, Russian, and Chinese to include a new message for displaying the number of pending tasks in the wiki queue.
- Enhanced the `WikiBrowser` component to display the queue status, improving user awareness of ongoing tasks.
- Implemented polling logic to refresh wiki stats periodically when there are pending tasks or active ingestion, ensuring up-to-date information is presented.
These changes enhance the functionality and user experience of the wiki management system by providing real-time insights into task status.
This commit introduces the complete wiki feature for WeKnora, enabling AI-powered wiki page generation and management. The implementation includes:
**Backend Changes:**
- Wiki data model: WikiPage type with support for multiple page types (Summary, Entity, Concept, Index, Log)
- Database schema: wiki_pages table with full migration support
- WikiPageService: CRUD operations and page management
- WikiPageRepository: GORM-based persistence layer
- Wiki ingest pipeline: Automated generation of wiki pages from knowledge documents
* Summary page generation using LLM
* Entity and concept extraction in a single LLM call
* Synthesis opportunity detection
* Index page rebuilding
* Log page maintenance
- Wiki boost feature: Enhance chat retrieval with wiki context
- Wiki linting: Maintenance and validation utilities
- Agent wiki tools: Enable agents to query and interact with wiki pages
- Wiki prompts: Comprehensive LLM prompt templates for all wiki generation tasks
- Language support: Reuse existing middleware language infrastructure for LLM prompts
**Frontend Changes:**
- Wiki browser UI: View all wiki pages with filtering and search
- Wiki API client: Knowledge base wiki management endpoints
- Knowledge base editor: Configure wiki settings (language, auto-ingest, synthesis model)
- i18n updates: Support for English, Korean, Russian, and Chinese interfaces
**Configuration:**
- Container DI: Wire up all wiki services
- Router: Register wiki API endpoints
- Task handling: Support async wiki ingest tasks
**Testing:**
- Unit tests for wiki page types
- Service layer tests
- Endpoint tests for wiki operations
- Integration tests with LLM mocking
**Documentation:**
- Language refactoring analysis and guides
- Implementation completion reports
- Quick reference guides for developers
**Key Features:**
✅ LLM-powered wiki page generation from documents
✅ Multi-language support (9+ languages)
✅ Automatic extraction of entities and concepts
✅ Synthesis opportunity detection
✅ Index and log page maintenance
✅ Progressive wiki building across multiple documents
✅ Agent-based wiki interaction
✅ Chat retrieval enhancement with wiki context
✅ Full frontend UI for wiki browsing
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Replaced references to Docreader credentials with WeKnoraCloud credentials across multiple services and handlers.
- Introduced a new CredentialsConfig structure to manage third-party provider credentials, specifically for WeKnoraCloud.
- Updated database schema to include a credentials column for storing WeKnoraCloud AppID and AppSecret.
- Enhanced methods for retrieving and utilizing WeKnoraCloud credentials, ensuring proper encryption and decryption during storage and retrieval.
This update improves the management of WeKnoraCloud credentials, streamlining the integration and enhancing security measures.
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
Migration 000029 and 000030 had off-by-one numbering in comments/notices.
Also removed update_updated_at_column() trigger from 000030 as the
function is never defined and no other table uses this pattern.
- 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.
- Updated relevant files to include provider registration, implementation, and metadata.
- Enhanced frontend components to support provider management and configuration.
- Added localization for new provider settings and messages.
- Implemented backend repository methods for CRUD operations on web search providers.
- Added a new API for managing data sources, including CRUD operations and connection validation.
- Introduced UI components for data source settings, sync logs, and editor dialog, enhancing user experience in managing external data sources.
- Updated localization files to support new data source features in multiple languages.
- Implemented cron expression humanization for better scheduling visibility.
- Enhanced knowledge base editor to include data source management options.
Add session_mode ("user" | "thread") to IM channel config. In thread
mode, each message thread gets its own session, enabling multi-user
collaboration within the same thread context.
Backend:
- Add SessionMode type constants and validation
- Add ThreadID field to IncomingMessage and ChannelSession
- Split resolveSession into resolveUserSession/resolveThreadSession
- Update makeUserKey to include threadID only in thread mode
- Extract ThreadID in Slack, Mattermost, Feishu, Telegram adapters
- Add message_thread_id to Telegram SendReply/StartStream for Forums
- DB migration 000028: session_mode column + thread_id column + index
Frontend:
- Add session_mode radio group to IMChannelPanel dialog
- Auto-reset session_mode when switching to non-thread platform
- Show thread badge on channel card for thread-mode channels
- Add i18n keys for en-US, ko-KR, zh-CN, ru-RU
- Updated context template to include runtime metadata such as current time and week, improving contextual awareness in user queries.
- Enhanced rewrite template with critical instructions for intent classification, ensuring that rewritten questions preserve essential entities and keywords.
- Refined intent classification logic to prioritize user intents more effectively, improving the accuracy of responses based on user queries.
- Added examples to clarify expected input and output formats for intent classification, enhancing usability for developers.
- Updated the searchChunks method to calculate and include the total chunk count for each knowledge ID in the results.
- Introduced logic to fetch chunk counts based on unique knowledge IDs, improving the efficiency of data retrieval.
- Enhanced error handling for chunk count fetching, ensuring robust logging in case of failures.
- Introduced a new `channel` field in the Knowledge struct and associated request types to track the source channel (e.g., "web", "api", "browser_extension").
- Updated various frontend components to display channel information and enhance user experience with channel labels.
- Enhanced localization files to support channel labels in English and Chinese.
- Modified backend services and database migrations to accommodate the new channel feature, ensuring consistent tracking across knowledge entries.
- Refactored related functions to integrate channel handling, improving overall knowledge management and context.
- Introduced a new `channel` field in multiple request and message structures to track the source channel (e.g., "web", "api", "im").
- Updated frontend API calls and chat components to include the `channel` parameter, ensuring consistent channel tracking in user messages.
- Enhanced localization files to support channel labels in English, Korean, Russian, and Chinese.
- Added database migration scripts to incorporate the `channel` column in the messages table, facilitating the storage of channel information.
- Refactored related functions and components to accommodate the new channel feature, improving overall message context and tracking.
- 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.
- Introduced a new IMChannelPanel component for managing WeCom and Feishu channels.
- Added CRUD operations for IM channels, including create, update, delete, and list functionalities.
- Enhanced the backend with new API endpoints for IM channel management.
- Updated documentation to reflect changes in IM integration and channel management.
- Improved localization support for new IM-related UI elements across multiple languages.
- 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.
- support webhook and websocket modes for both platforms
- add im_channel_sessions migration for channel-session mapping
- register IM adapters and callback routes
- update config and docker-compose for IM env vars
- 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.
- Updated AWS SDK dependencies to versions v1.29.14 for config and v1.83.0 for S3, ensuring compatibility and access to the latest features.
- Added migration scripts to introduce column in the messages table for tracking agent execution duration.
- Added migration scripts to introduce column in the messages table and new JSONB columns in the tenants table for chat history configuration.
- Added new API endpoints for managing chat history configuration and retrieval settings, allowing tenants to enable message indexing and configure search parameters.
- Introduced new Vue components for ChatHistorySettings and RetrievalSettings, providing a user-friendly interface for managing these configurations.
- Updated localization files to include new settings descriptions and labels in multiple languages.
- Enhanced the KnowledgeSearch view to support searching across both knowledge bases and chat history, improving the overall search functionality.
These changes significantly enhance the application's capabilities in managing and retrieving chat history, contributing to a more robust user experience.
- 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.
- Add crypto utility (internal/utils/crypto.go) with AES-256-GCM encrypt/decrypt
using SYSTEM_AES_KEY env var, with "enc:v1:" prefix for versioned ciphertext
- Encrypt tenant API key via GORM BeforeSave/AfterFind hooks and manual
encryption in CreateTenant/UpdateAPIKey (db.Updates bypasses hooks)
- Encrypt model API key in ModelParameters Value/Scan (driver.Valuer)
- Widen api_key column from varchar(64) to varchar(256) across all DB dialects
(MySQL, ParadeDB, SQLite) and add versioned migration 000018
- Propagate SYSTEM_AES_KEY through docker-compose, Helm secrets and values
- Fix migration 000017 PL/pgSQL dollar-quoting syntax ($ -> $$)
- Introduced a new API endpoint to toggle the pin status of knowledge bases, allowing users to pin important entries to the top of the list.
- Updated the frontend to include UI elements for pinning and unpinning knowledge bases, with corresponding success and error messages.
- Enhanced localization support by adding translations for pinning actions in English, Korean, Russian, and Chinese.
- Modified the database schema to include `is_pinned` and `pinned_at` fields for knowledge bases, enabling persistent pinning status.
These changes improve the organization and accessibility of knowledge bases, enhancing user experience by allowing quick access to prioritized entries.
- 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.
- Eliminated the `mineru_api_base_url` field from the `ParserEngineConfig` interface and its usage across the application, simplifying the configuration structure.
- Updated the `ParserEngineSettings` view to remove the corresponding input field, enhancing the user interface.
- Adjusted the `PingMinerUCloud` function to no longer require the base URL parameter, defaulting to a predefined value instead.
- Modified database migration comments to reflect the removal of the base URL from the configuration.
These changes streamline the configuration process for the MinerU Cloud integration, improving clarity and reducing potential misconfigurations.
wizardchen