- Adjusted the structure of the ThreadWelcome component to enhance layout consistency across different screen sizes.
- Updated CSS classes to ensure proper alignment and spacing for the welcome message and composer, improving overall user experience.
- Updated TabsContent component to include focus-visible outline for better accessibility.
- Adjusted ScrollArea height to improve visual consistency and responsiveness.
- Increased padding in the list for better spacing and usability.
- Modified backend URL assignment to ensure it resolves correctly within the internal Docker network, preventing 503 errors for authenticated Zero queries.
- Added comments to clarify the routing behavior and the necessity of using the internal backend URL.
Step results now render from the synced Zero row so the panel ticks
forward as the run progresses. The REST getRun call is gated on the
run reaching a terminal status, since output/artifacts/error are only
written at terminal mark.
useAutomationRuns now reads from the zero_publication thin column set
and adapts rows to LiveRunSummary (RunSummary + step_results). The
detail hook stays on REST for the heavy fields.
- Add MiniMax-M3 to the model selection list (set as the new default)
- Add MiniMax-M2.7 and MiniMax-M2.7-highspeed as alternatives
- Remove deprecated MiniMax-M2.5 / M2.5-highspeed entries
- Update example config and Chinese setup docs to reference M3 (512K context)
- Revised the pricing page title and description to reflect new features including AI workspace, automations, and agents.
- Enhanced the FAQ section with detailed information about AI automations and agents, including scheduling and event-triggered workflows.
- Updated demo plans to include features related to AI automations and agents, ensuring clarity on capabilities and costs.
- Added a new automation illustration to the homepage features grid, emphasizing the automation capabilities of SurfSense.
- Added image support to the AnnouncementCard component for improved visual presentation of announcements.
- Introduced a spotlight feature in the announcement types to allow critical announcements to be displayed in a blocking dialog until acknowledged.
- Updated AnnouncementToastProvider to skip spotlight announcements to prevent duplicate notifications.
- Included a new AI automation announcement with an image in the announcements data for demonstration purposes.
- Updated the hero section to include detailed examples for various use cases, improving user guidance.
- Modified existing use case descriptions for clarity and relevance.
- Introduced a new component to display example prompts, enhancing the overall user experience.
- Updated version number to 0.0.26 in VERSION, pyproject.toml, and package.json files for browser, desktop, and web components.
- Ensured consistency in versioning across the project.
- Removed the AI Document Sorting feature description from the README files in Spanish, Hindi, Portuguese, Chinese, and English.
- Updated the automations section to streamline content and focus on upcoming features.
- Introduced new use case categories for better organization of features.
- Updated the hero section to include additional use cases with detailed descriptions and media sources.
- Added new UI components such as Empty states, ScrollArea, and Tabs for improved user interaction.
- Refactored existing use cases to align with the new structure and enhance clarity.
- Enhanced lambda function formatting in `_after_commit` for better clarity.
- Simplified generator expression in `_match_condition` for improved readability.
- Streamlined function signature in `_eligible` for consistency.
- Updated imports and refactored anonymous chat routes to use a new agent creation method.
- Added a new function `_load_anon_document` to handle document loading from Redis.
- Improved UI components by replacing legacy structures with modern alternatives, including alerts and separators.
- Refactored quota-related components to utilize new alert structures for better user feedback.
- Cleaned up unused variables and optimized component states for performance.
- Added tracking for automation creation, updates, deletions, and trigger modifications, including success and failure events.
- Implemented event tracking in the automation creation process, including chat approval and rejection scenarios.
- Updated the instrumentation client to ensure correct typing for PostHog integration.
- Refactored existing mutation atoms to include tracking calls for automation-related actions, improving analytics capabilities.
- Removed the eligibility gate for model selection in the automation creation process, allowing users to choose models directly in the builder.
- Updated the `AutomationBuilderForm` to incorporate model selection logic, ensuring that selected models are validated and preserved during automation creation and editing.
- Simplified the `AutomationsContent` and `AutomationNewContent` components by eliminating unnecessary eligibility checks and alerts.
- Enhanced the user experience by integrating model selection directly into the automation approval process, ensuring that only billable models are used.
- Refactored related tests to cover new model selection behavior and ensure proper validation of user-selected models.
