- 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.
- Enhanced the structure of the README files across multiple languages to include new use case categories.
- Added detailed descriptions and media for features such as AI Report Generator, AI Podcast Generator, and more.
- Improved clarity and organization of existing features, ensuring consistency across all language versions.
- Introduced upcoming features and automation capabilities, highlighting their benefits and functionalities.
- 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.
A standalone, domain-agnostic pub/sub seam: an EventBus that owns its
subscriber registry and streams Event values from producers to listeners
in process. Boundary-crossing (Celery/DB/workers) is left to subscribers,
keeping the bus single-responsibility. Includes the immutable Event value
object and full unit coverage.
- 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.
The shared AsyncPostgresSaver caches DB connections in a module-level
pool. Cached connections are bound to the asyncio loop that opened
them, but `run_async_celery_task` discards the loop on each task's
exit — so after the first task the pool holds connections pointing
to a dead loop, and the next automation hangs 30s before failing
with `PoolTimeout: couldn't get a connection after 30.00 sec`.
Swap agent_task to `InMemorySaver`; automation runs only need state
within one Celery task, so nothing is lost. Site-local TODO tracks
the proper future fix (dispose the checkpointer pool around each
Celery task, mirroring `_dispose_shared_db_engine`).
Top-level tests that span multiple submodules:
- test_stores.py (7): the trigger + action registry contracts — register
round-trip, unknown type → None (not raise), duplicate registration
rejected, defensive snapshot from all_*.
- test_definition_types.py (2): params_schema property on both
ActionDefinition and TriggerDefinition reflects the Pydantic model.
- test_persistence_enums.py (3): exact string values + member sets of
AutomationStatus / RunStatus / TriggerType — the postgres-mirrored
contract that breaks stored rows if drifted.
- test_import_registrations.py (2): the bundled agent_task action and
schedule trigger self-register on package import (canary for the
side-effect import chain).
conftest.py adds isolated_action_registry / isolated_trigger_registry
fixtures: snapshot + restore of the module-level _REGISTRY dicts so
tests that add their own definitions don't leak across the suite.
14 tests, pure unit.
