- Introduction of TRACIE_KO_INTERVIEW_DEFINITION_SPECIALIST

- 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

documentation/CrewAI Specialist Implementation Guide.md

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+# CrewAI Specialist Implementation Guide
+
+## Name Sensitivity
+A lot of the required functionality to implement specialists has been automated. This automation is based on naming
+conventions. So ... names of variables, attributes, ... needs to be precise, or you'll get problems.
+
+## Base Class: CrewAIBaseSpecialistExecutor
+
+Inherit your SpecialistExecutor class from the base class CrewAIBaseSpecialistExecutor
+
+### Conventions
+- tasks are referenced by using the lower case name of the configured task
+- agents idem dito
+
+### Specialise the __init__ method
+
+- Define the crews you want to use in your specialist implementation
+- Do other initialisations you require
+- Call super
+
+### Type and Typeversion properties
+
+- Adapt the type and type_version properties to define the correct specialist. This refers to the actual specialist configuration!
+
+### Implement _config_task_agents
+
+This method links the tasks to the agents that will perform LLM interactions. You can call the method _add_task_agent
+to link both. 
+
+### Implement _config_pydantic_outputs
+
+This method links the tasks to their pydantic outputs, and their name in the state class.