* feat(web): merge plugin readme and config into single detail dialog
- Click plugin card directly opens combined dialog (left: readme, right: config)
- Remove hover overlay with separate readme/config buttons
- Dropdown menu (⋯) still available for update/delete/view source
* fix: prettier format for lucide import
Add handlers for LIST_KNOWLEDGE_BASES and RETRIEVE_KNOWLEDGE actions
that allow plugins to list and retrieve from any knowledge base without
pipeline scope restrictions, complementing the existing pipeline-scoped handlers.
* Fixed the issue where the at bot did not remove the at symbol, resulting in some commands not being activated in group chats. Also, adjusted the logic in the on_message section.
* fix:reply_message del bot_name
The Telegram adapter only handles TEXT, COMMAND, PHOTO, and VOICE
messages. Document files (docx, pdf, etc.) sent by users are silently
dropped because:
1. MessageHandler filters lack filters.Document.ALL
2. target2yiri() has no message.document branch
3. yiri2target() has no platform_message.File branch
4. send_message() has no 'document' component handler
Changes:
- Add filters.Document.ALL to the MessageHandler filter set
- Add message.document parsing in target2yiri() → platform_message.File
- Add platform_message.File handling in yiri2target() → document component
- Add 'document' type handling in send_message() via bot.send_document()
This allows Telegram document messages to flow through the existing
PreProcessor and Dify file upload pipeline, consistent with how other
adapters (Lark, KOOK, Discord, WeCom) already handle files.
Closes#2065
Previously, environment variable overrides (e.g. SYSTEM__INSTANCE_ID)
were silently skipped if the target key didn't already exist in
data/config.yaml. This caused SaaS pods running older LangBot images
(whose config template lacked system.instance_id) to ignore the
SYSTEM__INSTANCE_ID env var, falling back to a random UUID that
didn't match the pod UUID — breaking idle timeout tracking.
Now env overrides create missing keys (as strings) and missing
intermediate dicts, so they work regardless of template version.
Co-authored-by: rocksclawbot <rocksclawbot@users.noreply.github.com>
- If system.instance_id set in config (via env var), use it
- If not set but file exists, read from file (don't generate new)
- If neither, generate new and save to file
Add instance_id field to system section in config.yaml.
Can be set via SYSTEM__INSTANCE_ID env var (auto-mapped).
Falls back to data/labels/instance_id.json if not set.
In SaaS (cloud edition), the instance_id can now be injected via
environment variable to match the pod UUID. This enables zero-lookup
telemetry routing in Space - no need to reverse-lookup instance_id
to find the pod.
Extract knowledge base UUID list into query.variables['_knowledge_base_uuids']
in PreProcessor so plugins can modify it during PromptPreProcessing. Runner now
reads from variables instead of pipeline_config. Also pass session_name,
bot_uuid, and sender_id to kb.retrieve() in the RETRIEVE_KNOWLEDGE_BASE handler
so knowledge engines receive proper session context.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat: Implement WebSocket long connection client for WeChat Work AI Bot
- Added WecomBotWsClient to handle WebSocket connections for receiving messages and sending replies.
- Introduced a new migration (dbm022) to add 'enable-webhook' field to existing wecombot adapter configs, ensuring backward compatibility.
- Updated WecomBotAdapter to support both WebSocket and webhook modes based on the new configuration.
- Enhanced YAML configuration for WecomBot to include 'enable-webhook' and 'Secret' fields, adjusting requirements accordingly.
- Incremented database version to 22 to reflect schema changes.
* fix:db enable-webhook is false
* fix:add logic
* fix:Removed an unnecessary configuration check
* fix: migration
* fix: update migration
* fix:migration
* fix(database): Update database version requirement to 20
- Increase required_database_version from 19 to 20
- Add documentation on database schema version check
* feat(lark): Added support for message references and topic message grouping
- Implemented the function to extract reference message IDs from messages, supporting parent message identification
- Added a method to construct event messages from SDK message items
- Implemented the function to asynchronously obtain reference messages and convert them into message chains
- Integrated reference message injection logic into the message processing flow
- Added a mechanism to filter source components while retaining reference content
- Implemented a method to obtain the starter ID with topic awareness
- Provided session isolation support for topic range in group thread messages
- Supported stable maintenance of conversation context in group thread discussions
- Handled cases where topic messages cannot reliably detect reference targets
* feat(lark): Implement a duplicate prevention mechanism for Feishu topic message references
- Add class-level cache to store processed topic IDs and timestamps
- Implement a timed cleanup mechanism to remove expired topic records
- Add cache size limit to prevent memory from growing indefinitely
- Return the parent message ID and mark it as processed when the first reply is made to a topic
- Return None in subsequent replies to the same topic to avoid duplicate references
- Implement automatic cache trimming to ensure stable performance
* fix(market): sync plugin market UI from space - page size 12, full list display, fix double separator, adaptive tag display
* fix: lint and prettier formatting
* fix: prettier formatting for remaining files
- Add get_user_info() to WecomClient to fetch user name via /user/get API
- Update WecomEventConverter.target2yiri to accept bot param and fetch real user name
- Update register_listener call to pass self.bot for user name lookup
- URL-encode userid parameter for safety
Co-authored-by: RockChinQ <45992437+RockChinQ@users.noreply.github.com>
- Implement full-text search via Chroma's $contains filter
- Implement hybrid search with RRF (Reciprocal Rank Fusion) combining
vector and full-text results, with min-max normalized distances
- Fix add_embeddings to use col.upsert instead of col.add for idempotency
- Bump chromadb dependency to >=1.0.0,<2.0.0
- Re-lock uv.lock with official PyPI source
