- Addition of a tenant_partner_services view to show partner services from the viewpoint of a tenant
- Addition of domain model diagrams
- Addition of license_periods views and form
- Selection Specialist - VA version - fully implemented
- Correction of TRAICIE_ROLE_DEFINITION_SPECIALIST - adaptation to new style
- Removal of 'debug' statements
- Improvements to CrewAI specialists and Specialists in general
- Addition of reusable components to check or get answers to questions from the full Human Message - HumanAnswerServices
- Re-introduction of EveAIAsset
- Make translation services resistent for situation with and without current_event defined.
- Ensure first question is asked in eveai_chat_client
- Start of version 1.4.0 of TRAICIE_SELECTION_SPECIALIST
- 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
- Ensure Traicie Role Definition Specialist complies to latest technical requirements
- Ensure that empty historical messages do not cause a crash in eveai_client
- take into account empty customisation options
- make was not processed in the system dynamic attribute tenant_make
- ensure only relevant makes are shown when creating magic links
- refresh partner info when editing or adding Partner Services$
- Add active field to Specialist model
- Improve Specialists view
- Propagate make for Role Definition Specialist to Selection Specialist (make is defined at the role level)
- Ensure a make with a given name can only be defined once
- correction of some bugs:
- dynamic fields for adding documents / urls to dossier catalog
- tabs in latest bootstrap version no longer functional
- partner association of license tier not working when no partner selected
- data-type dynamic field needs conversion to isoformat
- Add public tables to env.py of tenant schema
- 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)
- Add functionality to add a default dictionary for configuration fields
- Correct entitlement processing
- Remove get_template functionality from ModelVariables, define it directly with LLM model definition in configuration file.
- 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
- ensure very long chunks get split into smaller chunks
- ensure TrackedMistralAIEmbedding is batched if needed to ensure correct execution
- upgraded some of the packages to a higher version
- 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)
- Move embedding model settings from tenant to catalog
- BUG: error processing configuration for chunking patterns in HTML_PROCESSOR
- Removed eveai_chat from docker-files and nginx configuration, as it is now obsolete
- BUG: error in Library Operations when creating a new default RAG library
- BUG: Added public type in migration scripts
- Removed SocketIO from all code and requirements.txt
- 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
