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.
- Improved the layout and readability of the run details panel by restructuring sections and adding collapsible error views.
- Introduced a new `RunErrorSection` component to present run-level errors more clearly, allowing users to toggle raw error details.
- Updated the handling of run outputs, step results, and artifacts for better user experience.
- Refactored duration calculation in `RunRow` to utilize a dedicated `formatDuration` function for consistency.
- Added a new `RunStepResult` interface to improve type safety and clarity in handling step results.
- Added useEffect to sync local assignments state with preferences when they change, ensuring the UI reflects the latest data.
- Updated state initialization to use null instead of empty strings for clarity in role assignments.
- Adjusted role assignment handling to correctly manage "unassigned" values and preserve Auto mode configuration during updates.
- Added model eligibility checks to ensure automations can only use billable models (premium or BYOK).
- Introduced new API endpoint to report model eligibility status for search spaces.
- Updated frontend components to display eligibility alerts and disable creation options when models are not billable.
- Enhanced automation creation forms to reflect model eligibility, preventing users from submitting invalid configurations.
- Implemented server-side logic to capture and preserve model preferences across automation edits, ensuring consistent behavior during execution.
- Deleted the `search_surfsense_docs` tool and its associated files, streamlining the agent's toolset.
- Updated various components and prompts to remove references to the now-removed tool, ensuring consistency across the codebase.
- Adjusted documentation to direct users to the SurfSense documentation link for product-related queries instead.
- Updated the `mentionParams` function to separate document and connector mentions, improving clarity and organization of the output.
- Modified the `mentionsFromParams` function to correctly handle and categorize mentions from parameters, ensuring connectors are processed separately.
- Adjusted documentation comments for better understanding of the changes in mention handling.
- Replaced the FileJson icon with SquarePen in both AutomationsEmptyState and AutomationsHeader components.
- Updated button label from "Create via JSON" to "Create manually" for clarity in the automation creation process.
- Added support for @-mentions in agent tasks, allowing users to reference documents, folders, and connectors directly in their queries.
- Updated `run_agent_task` to resolve mentions and include them in the context passed to the agent.
- Introduced new parameters in `AgentTaskActionParams` for handling mentioned document and connector IDs.
- Refactored the automation edit and new components to utilize the new `AutomationBuilderForm` for a more streamlined user experience.
- Removed deprecated JSON forms to simplify the automation creation process.
