* feat(platform): add Forward message support for aiocqhttp adapter
- Add _send_forward_message method to send merged forward cards via OneBot API
- Support NapCat's send_forward_msg API with fallback to send_group_forward_msg
- Fix MessageChain deserialization for Forward messages in handler.py
- Properly deserialize nested ForwardMessageNode.message_chain to preserve data
This enables plugins to send QQ merged forward cards through the standard
LangBot send_message API using the Forward message component.
* style: fix ruff lint and format issues
- Remove f-string prefix from log message without placeholders
- Apply ruff format to aiocqhttp.py and handler.py
* refactor: remove custom deserializer, rely on SDK for Forward deserialization
- Remove _deserialize_message_chain from handler.py; use standard
MessageChain.model_validate() (Forward handling fixed in SDK via
langbot-app/langbot-plugin-sdk#38)
- Fix group_id type: use int instead of str for OneBot compatibility
- Add warning log when Forward message is used with non-group target
* chore: bump langbot-plugin to 0.2.7 (Forward deserialization fix)
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Co-authored-by: RockChinQ <rockchinq@gmail.com>
* fix: Add the file upload function and optimize the media message processing
* fix: Optimize the message processing logic, improve the concatenation of text elements and the sending of media messages
* fix: Simplify the file request construction and message processing logic to enhance code readability
- Added checks for maximum allowed extensions, bots, and pipelines in the backend services (PluginsRouterGroup, BotService, MCPService, PipelineService).
- Updated system configuration to include limitation settings for max_bots, max_pipelines, and max_extensions.
- Enhanced frontend components to handle limitations, providing user feedback when limits are reached.
- Added internationalization support for limitation messages in English, Japanese, Simplified Chinese, and Traditional Chinese.
* feat: add card auto layout configuration for DingTalk adapter
* fix: correct card auto layout configuration key and improve related logic
* fix: simplify card auto layout configuration logic in create_and_card method
* fix: correct card auto layout key in DingTalk migration configuration
* fix: correct migration class name for DingTalk card auto layout
* fix: update migration version for DingTalk card auto layout
* fix: correct key name for card auto layout in DingTalk configuration
* fix: improve formatting and consistency in DingTalk card auto layout methods
- Updated create_llm_model method to include auto_set_to_default_pipeline parameter.
- Adjusted ModelManager to set auto_set_to_default_pipeline to False when creating models.
- Improved logic for setting the default pipeline model based on the new parameter.
* feat: add emoji support to knowledge bases and pipelines
* feat: add optional emoji property to ExternalKBCardVO for enhanced knowledge base representation
* feat: add GitHub Actions workflow for linting with Ruff
* refactor: rename lint job and add formatting step to Ruff workflow
* chore: run ruff format
* chore: rename Ruff lint job to 'Lint' and add frontend linting workflow
- Add Milvus db_name configuration and client parameter support.
- change kb_data uuid for Milvus. 3. add MAX_BATCH_SIZE for openai.
- support more vector_size.
* feat: add telemetry support for query execution tracking and configuration
* feat: integrate telemetry manager and enable telemetry data sending
* feat: integrate telemetry manager and enhance error handling for telemetry sending
* feat: update telemetry configuration to use 'space' instead of 'telemetry' and adjust related parameters
* feat: integrate telemetry manager and enable telemetry data sending
* feat: integrate telemetry manager and enhance error handling for telemetry sending
* feat: add instance id
* feat: enhance telemetry management with asynchronous task handling and improve model retrieval caching
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Co-authored-by: Junyan Qin <rockchinq@gmail.com>
