mirror of
https://github.com/langbot-app/LangBot.git
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0755beebcd
* 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
118 lines
4.3 KiB
YAML
118 lines
4.3 KiB
YAML
apiVersion: v1
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kind: MessagePlatformAdapter
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metadata:
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name: qqofficial
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label:
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en_US: QQ Official API
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zh_Hans: QQ 官方 API
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zh_Hant: QQ 官方 API
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description:
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en_US: QQ Official API (Webhook / WebSocket)
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zh_Hans: QQ 官方 API,支持 Webhook 和 WebSocket 两种连接模式
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zh_Hant: QQ 官方 API,支援 Webhook 和 WebSocket 兩種連線模式
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icon: qqofficial.svg
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spec:
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categories:
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- china
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help_links:
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zh: https://link.langbot.app/zh/platforms/qqofficial
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en: https://link.langbot.app/en/platforms/qqofficial
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ja: https://link.langbot.app/ja/platforms/qqofficial
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config:
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- name: __system.outbound_ips
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label:
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en_US: IP Whitelist
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zh_Hans: IP 白名单
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zh_Hant: IP 白名單
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description:
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en_US: Add these outbound IPs of the LangBot server to the IP whitelist in the development settings of the QQ Open Platform
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zh_Hans: 请将这些 LangBot 服务器的出网 IP 添加到 QQ 开放平台开发设置中的 IP 白名单
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zh_Hant: 請將這些 LangBot 伺服器的出網 IP 加入 QQ 開放平台開發設定中的 IP 白名單
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type: array[string]
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required: false
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default: []
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- name: one-click-bind
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label:
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en_US: One-Click QR Binding
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zh_Hans: 一键扫码绑定
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zh_Hant: 一鍵掃碼綁定
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description:
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en_US: Scan QR code with mobile QQ to auto-fill AppID and Secret (Token is not used and can be left blank)
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zh_Hans: 使用手机 QQ 扫码绑定,自动填写 AppID 和密钥(当前未使用 Token,可留空)
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zh_Hant: 使用手機 QQ 掃碼綁定,自動填寫 AppID 和密鑰(目前未使用 Token,可留空)
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type: qr-code-login
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login_platform: qqofficial
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required: false
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- name: appid
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label:
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en_US: App ID
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zh_Hans: 应用ID
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zh_Hant: 應用ID
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type: string
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required: true
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default: ""
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- name: secret
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label:
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en_US: Secret
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zh_Hans: 密钥
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zh_Hant: 密鑰
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type: string
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required: true
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default: ""
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- name: token
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label:
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en_US: Token
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zh_Hans: 令牌
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zh_Hant: 令牌
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description:
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en_US: Optional. The QR binding cannot return this value; the current adapter implementation does not use it either, so it can be safely left blank.
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zh_Hans: 可选。扫码绑定无法获取该字段,当前适配器实现也未使用该字段,留空即可。
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zh_Hant: 可選。掃碼綁定無法取得此欄位,目前介面卡實作亦未使用,留空即可。
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type: string
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required: false
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default: ""
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- name: enable-webhook
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label:
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en_US: Enable Webhook Mode
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zh_Hans: 启用Webhook模式
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zh_Hant: 啟用 Webhook 模式
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description:
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en_US: If enabled, the bot will use webhook mode to receive messages. Otherwise, it will use WebSocket mode
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zh_Hans: 如果启用,机器人将使用 Webhook 模式接收消息。否则,将使用 WebSocket 模式
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zh_Hant: 如果啟用,機器人將使用 Webhook 模式接收訊息。否則,將使用 WebSocket 模式
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type: boolean
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required: true
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default: false
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- name: enable-stream-reply
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label:
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en_US: Enable Stream Reply Mode
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zh_Hans: 启用流式回复模式
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zh_Hant: 啟用串流回覆模式
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description:
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en_US: If enabled, the bot will use streaming mode to reply messages (C2C only)
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zh_Hans: 如果启用,机器人将使用流式方式回复消息(仅私聊)
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zh_Hant: 如果啟用,機器人將使用串流方式回覆訊息(僅私聊)
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type: boolean
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required: true
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default: false
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- name: webhook_url
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label:
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en_US: Webhook Callback URL
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zh_Hans: Webhook 回调地址
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zh_Hant: Webhook 回調地址
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description:
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en_US: Copy this URL and paste it into your QQ Official API webhook configuration
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zh_Hans: 复制此地址并粘贴到 QQ 官方 API 的 Webhook 配置中
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zh_Hant: 複製此地址並貼到 QQ 官方 API 的 Webhook 設定中
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type: webhook-url
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required: false
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default: ""
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show_if:
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field: enable-webhook
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operator: eq
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value: true
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execution:
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python:
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path: ./qqofficial.py
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attr: QQOfficialAdapter
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