- Provider form submit button changed to 'Save & Next'
- Remove extra Next button from provider form
- Add search input to filter scanned models
- Add manual model name input for APIs that don't support scanning
- Add divider between scanned list and manual add section
- Add i18n translations for all locales
When navigating back to the provider form after already creating a
provider, show a Next button that skips to the model scan or config
layer without requiring re-submission.
Track maxReachedLayer so clicking Next from an earlier layer jumps
directly to the deepest previously visited layer, preserving state.
Reset tracking when the user changes their AI engine mode choice.
- Add initialValues and onValuesChange props to ProviderForm
- Save provider form data and selected models in wizard state
- Fix canProceed missing modelsAdded dependency
- Restore form data and selections when navigating back
Use a dedicated step2Layer state for sub-layer navigation within
Step 2, instead of resetting data flags. This preserves provider
form data, scan results, and model selections when going back.
After creating a custom provider, scan for available LLM models
and let the user select which ones to add before proceeding.
Support back navigation from config form to model scan to provider form.
Pass provider UUID from ProviderForm callback.
After creating a custom provider, automatically select local-agent as
the runner so the config form (with model selector) is displayed.
Require runner selection for canProceed in LLM+custom path.
Restructure the wizard's Step 2 (AI Engine) into a two-layer choice:
- Orchestrated Agent apps (Dify, n8n, Coze, etc.)
- Direct LLM usage (Space service or custom provider)
For direct LLM mode, users choose between LangBot Space (OAuth)
or adding their own model provider via a dedicated ProviderForm page.
Support intra-step back navigation across all layers.
Add Vite dev server proxy config for API requests.
Add i18n translations for all 8 locales.
* fix(cloud): show owner model balance and enforce single owner
* fix(migrations): create owner index idempotently
---------
Co-authored-by: dadachann <185672915+dadachann@users.noreply.github.com>
* 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
Normalize monitoring API responses before rendering so empty or error payloads with data:null cannot crash the dashboard. Also guard chart, token, and box session arrays before reading length/map.
The in-product plugin/add-extension help links went through
link.langbot.app/{lang}/docs/plugins, which now 404s (it resolved to the
removed /usage/plugin/plugin-intro path). Point them directly at the
current docs page docs.langbot.app/{lang}/plugin/plugin-intro (verified
200 for zh/en/ja).
The previous truncate/shrink-0 pass only touched leaf nodes, but the
min-content floor was set by two ancestors: the flex-1 left group lacked
min-w-0, and CardHeader is a CSS grid whose implicit single column
defaults to min-content. Constrain both (min-w-0 on the header grid +
explicit grid-cols-[minmax(0,1fr)], min-w-0 on the inner flex groups) so
the provider name / base_url+key subtitle actually truncate instead of
forcing the card — and the whole settings modal — wider than the viewport.
langbot-dev