- Selection Specialist - VA version - fully implemented
- Correction of TRAICIE_ROLE_DEFINITION_SPECIALIST - adaptation to new style
- Removal of 'debug' statements
- Translation Service improvement
- Enable activation / deactivation of Processors
- Renew API-keys for Mistral (leading to workspaces)
- Align all Document views to use of a session catalog
- Allow for different processors for the same file type
- Creation of Traicie Vancancy Definition specialist
- Allow to invoke non-interaction specialists from withing Evie's mgmt interface (eveai_app)
- Improvements to crewai specialized classes
- Introduction to json editor for showing specialists arguments and results in a better way
- Introduction of more complex pagination (adding extra arguments) by adding a global 'get_pagination_html'
- Allow follow-up of ChatSession / Specialist execution
- Improvement in logging of Specialists (but needs to be finished)
- menu changes to allow for partners
- partner views and forms now in partner_forms.py and partner_views.py
- Introduction of services layer
- Allow all configuration to handle partner configurations, and adaptation of caching to allow for this
- Adding Prometheus metrics to the business events
- Ensure asynchronous behaviour of crewai specialists.
- Adapt Business events to working in mixed synchronous / asynchronous contexts
- Extend business events with specialist information
- Started adding a grafana dashboard (TBC)
- eveai_chat becomes deprecated and should be replaced with SSE
- Adaptation of STANDARD_RAG specialist
- Base class definition allowing to realise specialists with crewai framework
- Implementation of SPIN_SPECIALIST
- Implementation of test app for testing specialists (test_specialist_client). Also serves as an example for future SSE-based client
- Improvements to startup scripts to better handle and scale multiple connections
- Small improvements to the interaction forms and views
- Caching implementation improved and augmented with additional caches
- Split differrent caching mechanisms (types, version tree, config) into different cachers
- Improve resource usage on starting components, and correct gevent usage
- Refine repopack usage for eveai_app (too large)
- Change nginx dockerfile to allow for specialist overviews being served statically
- Created a base mail template
- Adapt and improve document API to usage of catalogs and processors
- Adapt eveai_sync to new authentication mechanism and usage of catalogs and processors
- Introduction of dynamic Processors
- Introduction of caching system
- Introduction of a better template manager
- Adaptation of ModelVariables to support dynamic Processors / Retrievers / Specialists
- Start adaptation of chat client
