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2c3e52c16c0414089dd84d682399ac43637ddea5
7 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
 Stevenqin
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2c3e52c16c |
fix(aiocqhttp): correct listener lifecycle handling (#2336)
* fix(aiocqhttp): correct listener lifecycle handling * docs(aiocqhttp): add listener lifecycle evidence |
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Dongchuan Fu
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0755beebcd |
feat: add supports for dify hitl (#2226)
* feat: Implement workflow form handling for paused workflows - Added module-level storage for pending forms to manage state across sessions. - Introduced functions to set, get, and clear pending forms with expiration handling. - Enhanced DifyServiceAPIRunner to support resuming paused workflows via form actions. - Implemented logic to yield human input requests and display appropriate messages. - Updated workflow submission methods to handle paused states and resume actions. - Ensured proper merging of pending form actions with user inputs for seamless interaction. * feat: Add '_routed_by_rule' variable to form action in Lark and Telegram adapters * feat: Enhance Lark and Telegram adapters with new form handling for paused workflows * feat: Enhance TelegramAdapter to handle form action buttons and message threading * feat: Improve TelegramAdapter message handling with enhanced error management and draft message support * feat: Add the function for formatting human input text to support adapters without rich UI. * feat(dingtalk): implement human input card support and card action handling - Add a new module `card_callback.py` to handle card action button clicks from DingTalk. - Introduce `DingTalkCardActionHandler` to process card action callbacks and extract parameters. - Update `DingTalkAdapter` to manage card state and handle form input through a single card template. - Add configuration for `human_input_card_template_id` in `dingtalk.yaml` to specify the template for human input. - Create a new card template `dingtalk_human_input_card.json` for rendering human input prompts and buttons. * feat(dingtalk): enhance human input card functionality with streaming support and active turn management - Updated the DingTalk card template to enable streaming mode and multi-update configuration. - Removed the obsolete delete_card method from DingTalkClient to streamline card management. - Enhanced DingTalkAdapter to manage active turn cards and accumulated streaming text, ensuring a seamless user experience during human input prompts. - Modified the create_message_card method to utilize existing active cards for resumed workflows, preventing duplication. - Improved the _paint_form_on_card method to update existing cards with human input prompts and buttons dynamically. - Updated the dingtalk_human_input_card.json template to reflect the new streaming capabilities and configuration options. * feat(wecom): implement Dify human input pause handling with button interaction support * feat(qqofficial): implement Dify human input button interaction handling and markdown keyboard support * feat(qqofficial): implement one-click QR binding and enhance localization support * feat(discord): implement Discord form view with button interactions for Dify actions * fix(telegram): correct group chat type check and handle oversized callback data for Telegram actions fix(difysvapi): ensure safe access to remove-think configuration in pipeline settings * feat(dify): add support for chatflow app type and enhance human input handling * feat(telegram): add action title feedback for user selections in Telegram messages * feat(lark): enhance LarkAdapter to store form content for resume notices * feat(dingtalk): update display formatting for card content with HTML line breaks * feat(dingtalk): add feedback functionality to cards with 👍/👎 buttons - Implemented feedback state management for cards, allowing users to provide feedback via thumbs up/down buttons. - Enhanced card rendering to include feedback buttons when appropriate. - Registered feedback listeners to handle feedback events and update card states accordingly. - Updated the card template to support dynamic button rendering for feedback actions. - Improved error handling and logging for feedback actions and card updates. * fix: add Avatar component to dingtalk_human_input_card.json for enhanced user interaction * feat(wecom): add optional source block to interactive template cards for enhanced branding * feat(wecom): add functions for template card action extraction and update, enhance button interaction handling * feat(qqofficial): synchronize passive-reply counter with inbound message sequence * feat(qqofficial): add method to identify invisible form placeholder chunks in messages * feat(dingtalk): add download link for human input card template and enhance dynamic form configuration * feat(telegram): enhance message handling with group stream deletion and form placeholder detection * Add unit tests for DingTalk, Lark, WeComBot, and Dify service API runners - Implement tests for DingTalk adapter helper functions including form content cleaning, input extraction, and completed input lines. - Create unit tests for Lark adapter helper functions focusing on input extraction and completed input lines. - Add tests for WeComBot template card functionalities, including event extraction and payload building for human input. - Enhance Dify service API runner tests to cover human input forms, including input collection, action handling, and form snapshot extraction. * feat: Enhance Telegram and QQ Official adapters with select field handling and form action processing - Added support for select fields in Telegram adapter, including option extraction and callback handling. - Implemented form action processing for Telegram callbacks, improving user interaction feedback. - Introduced new helper functions for building keyboards and resolving select button actions in QQ Official adapter. - Enhanced DifyServiceAPIRunner to handle cumulative streaming responses and improve error handling during workflow resumes. - Added unit tests for new functionalities in Telegram and QQ Official adapters, ensuring robust behavior for select fields and form actions. * feat(lark): add functions for current input definitions and visible form content handling feat(qqofficial): update fallback text handling for non-streaming scenarios feat(difysvapi): enhance form content processing for interactive fields and actions test: add unit tests for Lark and QQ Official adapter functionalities * Add tests for DingTalk adapter content processing and markdown formatting - Updated the assertion in `test_dingtalk_completed_input_lines_include_text_and_select_values` to remove unnecessary markdown formatting. - Added new tests to verify that `_dingtalk_clean_form_content` maintains the order of prompts and completed values in various scenarios. - Introduced `test_dingtalk_card_markdown_preserves_internal_line_breaks` to ensure internal line breaks are correctly converted to HTML line breaks. * feat: Refactor input handling and feedback messages across multiple adapters * feat: Update the human-computer interaction template cards, and optimize the prompt information and content display. * feat: Refactor pending form handling to isolate by bot and pipeline * feat: Enhance error handling and caching for Dify and WeCom interactions * feat: Enhance select input handling and validation in Dify API runner and Telegram adapter * feat: Add missing completed input lines handling in DingTalk adapter * feat: Add pipeline_uuid handling across multiple adapters and update related tests |
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Stevenqin
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13dba887d5 | fix(wecomcs): implement proactive text sends (#2300) | ||
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彼方
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cc7a13158e |
fix(aiocqhttp): resolve group member metadata (#2298)
* fix(aiocqhttp): resolve group member metadata * style: ruff format |
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彼方
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ccc51522cf |
fix(aiocqhttp): normalize base64 media payloads (#2296)
* fix(aiocqhttp): normalize image and voice base64 payloads * fix(aiocqhttp): support file messages from base64 payloads * test(aiocqhttp): use package import path |
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Junyan Chin
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a1e6eccdeb |
feat(box): bidirectional attachment transfer for sandbox (#2257)
* feat(box): bidirectional attachment transfer for sandbox Materialize inbound attachments into the sandbox workspace so agents can process user-sent files, and collect agent-produced files from the outbox to attach them back to the reply. - box(service): add materialize_inbound_attachments / collect_outbound attachments. Prefer direct host-filesystem read/write on the bind-mounted workspace (no size limit), falling back to chunked exec only for non-shared backends (e2b/remote). Clear per-query inbox/outbox dirs at turn start to avoid query_id-reuse collisions. - provider(localagent): inject inbound attachment descriptors into the sandbox and append a system note telling the agent the inbox/outbox paths. - pipeline(wrapper): collect outbox files on the final stream chunk and append them as attachment components to the response chain. - web(debug-dialog): render File components with a download link when base64/url is present; add base64/path fields to the File entity. - tests: cover inbound/outbound, large-file transfer without truncation, and stale-dir clearing (86 passing). * feat(box): support voice/file attachment round-trip end-to-end Extends the bidirectional attachment transfer to audio and arbitrary files through the real webchat UI, and fixes the model-payload errors that non-image attachments triggered. - platform(websocket_adapter): resolve Voice/File component storage keys to base64 (previously only Image), so audio/documents reach the sandbox inbox. - web(debug-dialog): accept audio/* and any file in the uploader (was image-only), classify by mimetype, upload Voice/File via the documents endpoint, and render non-image staged attachments as a chip. - provider(litellmchat): drop non-image file parts (file_base64 / file_url) when building the OpenAI/LiteLLM payload. These come from Voice/File attachments — including ones replayed from conversation history — and the agent reads their bytes from the sandbox, not the model. Without this the provider rejects the request: 'invalid content type=file_base64'. - provider(localagent): also strip those parts from the current user message alongside the sandbox-path note (model-facing clarity; the requester is the real safety net for history). - tests: cover the requester strip/keep behavior (file dropped, image kept and reshaped to image_url, mixed history, plain-string content). * test(box): cover inbound/outbound attachment helpers; fix ruff format - ruff format localagent.py (CI ruff format --check was failing) - add unit tests for ResponseWrapper outbound-attachment helpers (wrapper.py 78%->98%) - add unit tests for LocalAgentRunner._inject_inbound_attachments - add unit tests for WebSocketAdapter._process_image_components (0%->covered) Lifts PR patch coverage from 68.97% to ~88% (>75% target). |
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Typer_Body
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77a0de5ef0 |
Feat: bot message routing (#2100)
* refactor: pipeline routing rules - add routed_by_rule bypass and diagnostic logging - Add routing rules editor (RoutingRulesEditor component) - Add routed_by_rule bypass logic in response rules - Add diagnostic logging for pipeline routing - Database migration for bot pipeline routing rules - Extract RoutingRulesEditor component from BotForm - Revert log levels to debug * feat: add message_has_element routing rule type Support routing by message element type (Image, Voice, File, Forward, Face, At, AtAll, Quote) with eq/neq operators. * test: add unit tests for pipeline routing rules 20 tests covering _match_operator (eq/neq/contains/not_contains/ starts_with/regex/invalid) and resolve_pipeline_uuid (launcher_type/ launcher_id/message_content/message_has_element/first-match-wins/ skip-invalid/default-operator). * fix(web): add missing 'message_has_element' to routing rule type validation The Zod schema and TypeScript type for PipelineRoutingRule.type were missing the 'message_has_element' variant, causing silent form validation failure when saving routing rules with this type. * feat: add pipeline discard functionality and localization support * feat(web): improve drag-and-drop with DragOverlay, add discard monitoring and pipeline icons - Add DragOverlay for smooth cursor-following drag in routing rules editor - Remove transition to eliminate redundant swap animation on drop - Record discarded messages in monitoring system via _record_discarded_message - Display pipeline name (Workflow icon) and runner name (Play icon) on session monitor messages - Show discard badge on discarded messages in session monitor - Add i18n translations for discarded/userMessage/botMessage * fix: ensure discarded messages appear in session monitor and improve icons - Create/update monitoring session for discarded messages so they show in the bot session monitor (was only inserting message rows, not sessions) - Use human-readable 'Discarded' as pipeline_name instead of '__discard__' - Change runner icon from Play to Bot for better AI Agent semantics * fix: merge discarded messages into same session and remove session-level pipeline name - Use LauncherTypes enum for session_id in discarded messages to match the format used by monitoring_helper (fixes duplicate sessions) - Don't overwrite session pipeline info on discard — a session can have messages from multiple pipelines - Remove pipeline_name from session list and chat header since it's now shown per-message and a session is no longer single-pipeline * fix(web): only show save button on config tab in bot detail page * fix(web): scroll to bottom after messages render in session monitor --------- Co-authored-by: RockChinQ <rockchinq@gmail.com> |