The active "AI Automations" announcement (2026-05-31 -> 2026-07-15) renders
a blocking AnnouncementSpotlight dialog whose full-screen overlay intercepts
all clicks for the freshly-registered e2e user, breaking every UI-driven
journey (e.g. the file-upload upload button). Pre-seed the localStorage flags
that gate the new-user overlays before saving storageState:
- surfsense_announcements_state: mark all announcements read + toasted
(sourced from announcements-data so future entries are covered).
- surfsense-tour-<userId>: suppress the OnboardingTour spotlight.
Restores the Journey suite (file-upload markdown + PDF round-trips now green).
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.
