Fixes#6294
QQ official bot receives emoji/sticker messages as raw XML-like tags:
`<faceType=4,faceId="",ext="eyJ0ZXh0IjoiW+a7oeWktOmXruWPt10ifQ==">`
This made the LLM unable to understand the emoji content.
Changes:
- Added `_parse_face_message()` method to parse face message format
- Decode base64 `ext` field to get emoji description text
- Replace face tags with `[表情:描述]` format for readability
Example:
- Input: `<faceType=4,faceId="",ext="eyJ0ZXh0IjoiW+a7oeWktOmXruWPt10ifQ==">`
- Output: `[表情:[满头问号]]`
Co-authored-by: ccsang <ccsang@users.noreply.github.com>
1. Fix missing spaces in cron job wake prompt string concatenation.
Python implicit string concatenation produced:
"...scheduled taskProceed..." and "...conversation.After..."
which sent garbled instructions to the LLM agent, causing unreliable
cron job execution.
2. Replace deprecated datetime.utcnow() with
datetime.now(datetime.timezone.utc) in JWT generation.
utcnow() is deprecated since Python 3.12 and returns naive datetime
which can cause incorrect token expiry on non-UTC systems.
Closes#6103Closes#6165
Co-authored-by: easonysliu <easonysliu@tencent.com>
In _handle_api_error(), when a 429 rate-limit is encountered, the code
calls available_api_keys.remove(chosen_key). If the same key was already
removed in a previous retry iteration (e.g. the key rotated back to the
same value), this raises ValueError which crashes the entire LLM request
with an opaque error instead of a proper retry/fallback.
Add a membership check before calling remove() to prevent the crash.
Co-authored-by: easonysliu <easonysliu@tencent.com>
* fix(qqofficial): fix streaming message delivery for C2C
* fix(qqofficial): rewrite send_streaming for C2C vs non-C2C split
* fix(qqofficial): add _extract_response_message_id for safe id extraction
* fix(qqofficial): flush stream segment on tool-call break signal
* fix(qqofficial): downgrade rich-media to non-stream send in C2C
* fix(qqofficial): auto-append \n to final stream chunk (state=10)
* fix(qqofficial): propagate stream param to all _send_with_markdown_fallback call sites
* fix(qqofficial): retry on STREAM_MARKDOWN_NEWLINE_ERROR with newline fix
* fix(qqofficial): handle None/non-dict response in post_c2c_message gracefully
* fix(qqofficial): remove msg_id from video/file media payloads in send_by_session
QQ API rejects msg_id on proactive media (video/file, msg_type=7) messages
sent via the tool-call path, returning "请求参数msg_id无效或越权". The
msg_id passive-reply credential is consumed by the first send and cannot be
reused for subsequent media uploads in the same session.
Remove msg_id from the payload after setting msg_type=7 for video and file
sends, for both FRIEND_MESSAGE (C2C) and GROUP_MESSAGE paths.
* fix(qqofficial): replace deprecated get_event_loop() with get_running_loop()
asyncio.get_event_loop() is deprecated since Python 3.10 and raises a
DeprecationWarning (or errors) when called from inside a running coroutine
without a current event loop set on the thread. Replace both call-sites
in the streaming throttle logic with asyncio.get_running_loop(), which is
the correct API to use inside an already-running async context.
Co-Authored-By: Claude Sonnet <noreply@anthropic.com>
---------
Co-authored-by: 2ndelement <2ndelement@users.noreply.github.com>
Co-authored-by: Claude Sonnet <noreply@anthropic.com>
* feat: add video message support and enhance message type descriptions in SendMessageToUserTool
* feat: add error handling for disabled sandbox runtime in get_booter function
- Add audio data validation in MiniMax TTS get_audio() method to detect empty responses
- Validate generated audio file size in TTSProvider.test() to ensure valid output
- Provide detailed error messages guiding users to check group_id configuration
- Auto-cleanup test audio files after validation
- Fixes issue where 0KB audio files would pass TTS detection when group_id is not configured
* feat(extension): add PluginSortControl reusable component for sorting
* i18n: add i18n keys for plugin sorting and filtering features
* feat(extension): add sorting and status filtering for installed plugins
Backend changes (plugin.py):
- Add _resolve_plugin_dir method to resolve plugin directory path
- Add _get_plugin_installed_at method to get installation time from file mtime
- Add installed_at field to plugin API response
Frontend changes (InstalledPluginsTab.vue):
- Import PluginSortControl component
- Add status filter toggle (all/enabled/disabled) using v-btn-toggle
- Integrate PluginSortControl for sorting options
- Add toolbar layout with actions and controls sections
Frontend changes (MarketPluginsTab.vue):
- Import PluginSortControl component
- Replace v-select + v-btn combination with unified PluginSortControl
Frontend changes (useExtensionPage.js):
- Add installedStatusFilter, installedSortBy, installedSortOrder refs
- Add installedSortItems and installedSortUsesOrder computed properties
- Add sortInstalledPlugins function with multi-criteria support
- Support sorting by install time, name, author, and update status
- Add status filtering in filteredPlugins computed property
- Disable default table sorting by setting sortable: false
* test: add tests for installed_at field in plugin API
- Assert all plugins have installed_at field in get_plugins response
- Assert installed_at is not null after plugin installation
* fix(extension): add explicit fallbacks for installed plugin sort comparisons
* i18n(extension): rename install time label to last modified
* fix(extension): cache installed_at parsing and validate timestamp format in tests
* test(dashboard): strengthen installed_at coverage for plugin API
* fix(provider): handle MiniMax ThinkingBlock when max_tokens reached
Fixes#5912
Problem: MiniMax API returns ThinkingBlock when stop_reason='max_tokens',
but AstrBot throws 'completion 无法解析' exception because both
completion_text and tools_call_args are empty.
Root cause: The validation logic didn't consider ThinkingBlock
(reasoning_content) as valid content.
Fix: When completion_text and tools_call_args are empty but
reasoning_content is present, treat it as valid instead of throwing
exception. This happens when the model thinks but runs out of tokens
before generating the actual response.
Impact: MiniMax models now work correctly when responses are truncated
due to max_tokens limit.
* refactor: address review feedback
1. Use getattr for safe stop_reason access (prevent AttributeError)
2. Use ValueError instead of generic Exception for better error handling
Thanks @gemini-code-assist and @sourcery-ai for the review!
* refactor: flatten nested if/else with guard clause
Address Gemini Code Assist feedback:
- Use guard clause for early return
- Flattened nested conditional for better readability
Logic unchanged, just cleaner code structure.
* fix(provider): improve logging for ThinkingBlock completions in ProviderAnthropic
---------
Co-authored-by: Soulter <905617992@qq.com>
* fix: prevent crash on malformed MCP server config (#5666)
* fix: prevent crash on malformed MCP server config (#5666)
* fix: validate MCP connection before persisting server config
* fix: guard mcpServers type before iterating server list
* refactor: use typed empty-config error and extract MCP rollback helper
* fix: translate error messages and comments to English for consistency
---------
Co-authored-by: Soulter <905617992@qq.com>
* fix: apply reply_with_quote and reply_with_mention to image-only responses
* fix: restrict reply_with_quote and reply_with_mention to plain-text/image chains
* feat(skills): add batch upload functionality for multiple skill ZIP files
- Implemented a new endpoint for batch uploading skills.
- Enhanced the SkillsSection component to support multiple file selection and drag-and-drop functionality.
- Updated localization files for new upload features and messages.
- Added tests to validate batch upload behavior and error handling.
* feat(skills): improve batch upload handling and enhance accessibility for dropzone
* feat(skills): enhance batch upload process and improve UI for better user experience
* feat(skills): enhance skills upload dialog layout and styling for improved usability
* feat(skills): update upload dialog description styling for better visibility and usability
* feat(skills): improve upload dialog button styling and layout for enhanced usability
* feat(skills): refine upload dialog text for clarity and consistency
* feat(skills): enhance batch upload functionality by ignoring __MACOSX entries and improving upload dialog styling
* feat(skills): refactor upload dialog and button styles for improved consistency and usability
---------
Co-authored-by: whatevertogo <whatevertogo@users.noreply.github.com>
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