- Add a new 'system' type to dynamic forms, first one defined = 'tenant_make'

- 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

common/models/interaction.py

@@ -29,6 +29,7 @@ class Specialist(db.Model):
     tuning = db.Column(db.Boolean, nullable=True, default=False)
     configuration = db.Column(JSONB, nullable=True)
     arguments = db.Column(JSONB, nullable=True)
+    active = db.Column(db.Boolean, nullable=True, default=True)
 
     # Relationship to retrievers through the association table
     retrievers = db.relationship('SpecialistRetriever', backref='specialist', lazy=True,

common/models/user.py

@@ -39,6 +39,7 @@ class Tenant(db.Model):
     domains = db.relationship('TenantDomain', backref='tenant')
     licenses = db.relationship('License', back_populates='tenant')
     license_usages = db.relationship('LicenseUsage', backref='tenant')
+    makes = db.relationship('TenantMake', backref='tenant')
 
     @property
     def current_license(self):
@@ -179,7 +180,7 @@ class TenantMake(db.Model):
 
     id = db.Column(db.Integer, primary_key=True)
     tenant_id = db.Column(db.Integer, db.ForeignKey('public.tenant.id'), nullable=False)
-    name = db.Column(db.String(50), nullable=False)
+    name = db.Column(db.String(50), nullable=False, unique=True)
     description = db.Column(db.Text, nullable=True)
     active = db.Column(db.Boolean, nullable=False, default=True)
     website = db.Column(db.String(255), nullable=True)

config/specialists/traicie/TRAICIE_ROLE_DEFINITION_SPECIALIST/1.2.0.yaml

@@ -1,4 +1,4 @@
-version: "1.1.0"
+version: "1.2.0"
 name: "Traicie Role Definition Specialist"
 framework: "crewai"
 partner: "traicie"

config/specialists/traicie/TRAICIE_ROLE_DEFINITION_SPECIALIST/1.3.0.yaml

@@ -0,0 +1,50 @@
+version: "1.3.0"
+name: "Traicie Role Definition Specialist"
+framework: "crewai"
+partner: "traicie"
+chat: false
+configuration: {}
+arguments:
+  role_name:
+    name: "Role Name"
+    description: "The name of the role that is being processed. Will be used to create a selection specialist"
+    type: "str"
+    required: true
+  specialist_name:
+    name: "Specialist Name"
+    description: "The name the specialist will be called upon"
+    type: "str"
+    required: true
+  make:
+    name: "Make"
+    description: "The make for which the role is defined and the selection specialist is created"
+    type: "system"
+    system_name: "tenant_make"
+    required: true
+  role_reference:
+    name: "Role Reference"
+    description: "A customer reference to the role"
+    type: "str"
+    required: false
+  vacancy_text:
+    name: "vacancy_text"
+    type: "text"
+    description: "The Vacancy Text"
+    required: true
+results:
+  competencies:
+    name: "competencies"
+    type: "List[str, str]"
+    description: "List of vacancy competencies and their descriptions"
+    required: false
+agents:
+  - type: "TRAICIE_HR_BP_AGENT"
+    version: "1.0"
+tasks:
+  - type: "TRAICIE_GET_COMPETENCIES_TASK"
+    version: "1.1"
+metadata:
+  author: "Josako"
+  date_added: "2025-05-27"
+  changes: "Added a make to be specified (a selection specialist now is created in context of a make"
+  description: "Assistant to create a new Vacancy based on Vacancy Text"

config/specialists/traicie/TRAICIE_SELECTION_SPECIALIST/1.1.0.yaml

@@ -0,0 +1,120 @@
+version: "1.1.0"
+name: "Traicie Selection Specialist"
+framework: "crewai"
+partner: "traicie"
+chat: false
+configuration:
+  name:
+    name: "Name"
+    description: "The name the specialist is called upon."
+    type: "str"
+    required: true
+  role_reference:
+    name: "Role Reference"
+    description: "A customer reference to the role"
+    type: "str"
+    required: false
+  make:
+    name: "Make"
+    description: "The make for which the role is defined and the selection specialist is created"
+    type: "system"
+    system_name: "tenant_make"
+    required: true
+  competencies:
+    name: "Competencies"
+    description: "An ordered list of competencies."
+    type: "ordered_list"
+    list_type: "competency_details"
+    required: true
+  tone_of_voice:
+    name: "Tone of Voice"
+    description: "The tone of voice the specialist uses to communicate"
+    type: "enum"
+    allowed_values: ["Professional & Neutral", "Warm & Empathetic", "Energetic & Enthusiastic", "Accessible & Informal", "Expert & Trustworthy", "No-nonsense & Goal-driven"]
+    default: "Professional & Neutral"
+    required: true
+  language_level:
+    name: "Language Level"
+    description: "Language level to be used when communicating, relating to CEFR levels"
+    type: "enum"
+    allowed_values: ["Basic", "Standard", "Professional"]
+    default: "Standard"
+    required: true
+  welcome_message:
+    name: "Welcome Message"
+    description: "Introductory text given by the specialist - but translated according to Tone of Voice, Language Level and Starting Language"
+    type: "text"
+    required: false
+  closing_message:
+    name: "Closing Message"
+    description: "Closing message given by the specialist - but translated according to Tone of Voice, Language Level and Starting Language"
+    type: "text"
+    required: false
+competency_details:
+  title:
+    name: "Title"
+    description: "Competency Title"
+    type: "str"
+    required: true
+  description:
+    name: "Description"
+    description: "Description (in context of the role) of the competency"
+    type: "text"
+    required: true
+  is_knockout:
+    name: "KO"
+    description: "Defines if the competency is a knock-out criterium"
+    type: "boolean"
+    required: true
+    default: false
+  assess:
+    name: "Assess"
+    description: "Indication if this competency is to be assessed"
+    type: "boolean"
+    required: true
+    default: true
+arguments:
+  region:
+    name: "Region"
+    type: "str"
+    description: "The region of the specific vacancy"
+    required: false
+  working_schedule:
+    name: "Work Schedule"
+    type: "str"
+    description: "The work schedule or employment type of the specific vacancy"
+    required: false
+  start_date:
+    name: "Start Date"
+    type: "date"
+    description: "The start date of the specific vacancy"
+    required: false
+  language:
+    name: "Language"
+    type: "str"
+    description: "The language (2-letter code) used to start the conversation"
+    required: true
+  interaction_mode:
+    name: "Interaction Mode"
+    type: "enum"
+    description: "The interaction mode the specialist will start working in."
+    allowed_values: ["Job Application", "Seduction"]
+    default: "Job Application"
+    required: true
+results:
+  competencies:
+    name: "competencies"
+    type: "List[str, str]"
+    description: "List of vacancy competencies and their descriptions"
+    required: false
+agents:
+  - type: "TRAICIE_HR_BP_AGENT"
+    version: "1.0"
+tasks:
+  - type: "TRAICIE_GET_COMPETENCIES_TASK"
+    version: "1.1"
+metadata:
+  author: "Josako"
+  date_added: "2025-05-27"
+  changes: "Add make to the selection specialist"
+  description: "Assistant to create a new Vacancy based on Vacancy Text"

eveai_app/templates/interaction/specialists.html

@@ -10,7 +10,7 @@
 {% block content %}
 <div class="container">
     <form method="POST" action="{{ url_for('interaction_bp.handle_specialist_selection') }}" id="specialistsForm">
-        {{ render_selectable_table(headers=["Specialist ID", "Name", "Type"], rows=rows, selectable=True, id="specialistsTable") }}
+        {{ render_selectable_table(headers=["Specialist ID", "Name", "Type", "Type Version", "Active"], rows=rows, selectable=True, id="specialistsTable") }}
         <div class="form-group mt-3 d-flex justify-content-between">
             <div>
                 <button type="submit" name="action" value="edit_specialist" class="btn btn-primary" onclick="return validateTableSelection('specialistsForm')">Edit Specialist</button>

eveai_app/views/dynamic_form_base.py

@@ -3,12 +3,14 @@ from datetime import date
 from flask_wtf import FlaskForm
 from wtforms import (IntegerField, FloatField, BooleanField, StringField, TextAreaField, FileField,
                      validators, ValidationError)
-from flask import current_app, request
+from flask import current_app, request, session
 import json
 
 from wtforms.fields.choices import SelectField
 from wtforms.fields.datetime import DateField
 from wtforms.fields.simple import ColorField
+
+from common.models.user import TenantMake
 from common.utils.config_field_types import TaggingFields, json_to_patterns, patterns_to_json
 
 
@@ -300,6 +302,22 @@ class DynamicFormBase(FlaskForm):
         except Exception as e:
             raise ValidationError(f"Invalid ordered list: {str(e)}")
 
+    def _get_system_field(self, system_name):
+        """Get the field class and kwargs for a system field. Add system field cases as you need them."""
+        field_class = None
+        extra_classes = ''
+        field_kwargs = {}
+        match system_name:
+            case 'tenant_make':
+                field_class = SelectField
+                tenant_id = session.get('tenant').get('id')
+                makes = TenantMake.query.filter_by(tenant_id=tenant_id).all()
+                choices = [(make.name, make.name) for make in makes]
+                extra_classes = ''
+                field_kwargs = {'choices': choices}
+
+        return field_class, extra_classes, field_kwargs
+
     def add_dynamic_fields(self, collection_name, config, initial_data=None):
         """Add dynamic fields to the form based on the configuration.
 
@@ -357,11 +375,12 @@ class DynamicFormBase(FlaskForm):
                 extra_classes = ['monospace-text', 'pattern-input']
                 field_kwargs = {}
             elif field_type == 'ordered_list':
-                current_app.logger.debug(f"Adding ordered list field for {full_field_name}")
                 field_class = OrderedListField
                 extra_classes = ''
                 list_type = field_def.get('list_type', '')
                 field_kwargs = {'list_type': list_type}
+            elif field_type == 'system':
+                field_class, extra_classes, field_kwargs = self._get_system_field(field_def.get('system_name', ''))
             else:
                 extra_classes = ''
                 field_class = {

eveai_app/views/interaction_forms.py

@@ -24,6 +24,7 @@ def get_tools():
 
 class SpecialistForm(FlaskForm):
     name = StringField('Name', validators=[DataRequired(), Length(max=50)])
+    description = TextAreaField('Description', validators=[Optional()])
 
     retrievers = QuerySelectMultipleField(
         'Retrievers',
@@ -34,7 +35,7 @@ class SpecialistForm(FlaskForm):
     )
 
     type = SelectField('Specialist Type', validators=[DataRequired()])
-
+    active = BooleanField('Active', validators=[Optional()], default=True)
     tuning = BooleanField('Enable Specialist Tuning', default=False)
 
     def __init__(self, *args, **kwargs):
@@ -47,6 +48,7 @@ class SpecialistForm(FlaskForm):
 class EditSpecialistForm(DynamicFormBase):
     name = StringField('Name', validators=[DataRequired()])
     description = TextAreaField('Description', validators=[Optional()])
+    active = BooleanField('Active', validators=[Optional()], default=True)
 
     retrievers = QuerySelectMultipleField(
         'Retrievers',

eveai_app/views/interaction_views.py

@@ -162,6 +162,7 @@ def specialist():
             new_specialist.type = form.type.data
             new_specialist.type_version = cache_manager.specialists_version_tree_cache.get_latest_version(
                 new_specialist.type)
+            new_specialist.active = form.active.data
             new_specialist.tuning = form.tuning.data
 
             set_logging_information(new_specialist, dt.now(tz.utc))
@@ -231,6 +232,7 @@ def edit_specialist(specialist_id):
         specialist.name = form.name.data
         specialist.description = form.description.data
         specialist.tuning = form.tuning.data
+        specialist.active = form.active.data
         # Update the configuration dynamic fields
         specialist.configuration = form.get_dynamic_data("configuration")
 
@@ -297,7 +299,7 @@ def specialists():
 
     # prepare table data
     rows = prepare_table_for_macro(the_specialists,
-                                   [('id', ''), ('name', ''), ('type', '')])
+                                   [('id', ''), ('name', ''), ('type', ''), ('type_version', ''), ('active', ''),])
 
     # Render the catalogs in a template
     return render_template('interaction/specialists.html', rows=rows, pagination=pagination)

eveai_app/views/user_forms.py

@@ -2,10 +2,12 @@ from flask import current_app, session
 from flask_wtf import FlaskForm
 from wtforms import (StringField, BooleanField, SubmitField, EmailField, IntegerField, DateField,
                      SelectField, SelectMultipleField, FieldList, FormField, TextAreaField)
-from wtforms.validators import DataRequired, Length, Email, NumberRange, Optional
+from wtforms.validators import DataRequired, Length, Email, NumberRange, Optional, ValidationError
 import pytz
 from flask_security import current_user
+from wtforms.widgets.core import HiddenInput
 
+from common.models.user import TenantMake
 from common.services.user import UserServices
 from config.type_defs.service_types import SERVICE_TYPES
 from eveai_app.views.dynamic_form_base import DynamicFormBase
@@ -132,8 +134,19 @@ class EditTenantProjectForm(FlaskForm):
         self.services.choices = [(key, value['description']) for key, value in SERVICE_TYPES.items()]
 
 
+def validate_make_name(form, field):
+    # Controleer of een TenantMake met deze naam al bestaat
+    existing_make = TenantMake.query.filter_by(name=field.data).first()
+
+    # Als er een bestaande make is gevonden en we zijn niet in edit mode,
+    # of als we wel in edit mode zijn maar het is een ander record (andere id)
+    if existing_make and (not hasattr(form, 'id') or form.id.data != existing_make.id):
+        raise ValidationError(f'A Make with name "{field.data}" already exists. Choose another name.')
+
+
 class TenantMakeForm(DynamicFormBase):
-    name = StringField('Name', validators=[DataRequired(), Length(max=50)])
+    id = IntegerField('ID', widget=HiddenInput())
+    name = StringField('Name', validators=[DataRequired(), Length(max=50), validate_make_name])
     description = TextAreaField('Description', validators=[Optional()])
     active = BooleanField('Active', validators=[Optional()], default=True)
     website = StringField('Website', validators=[DataRequired(), Length(max=255)])

eveai_app/views/user_views.py

@@ -1,3 +1,4 @@
+import json
 import uuid
 from datetime import datetime as dt, timezone as tz
 from flask import request, redirect, flash, render_template, Blueprint, session, current_app
@@ -627,15 +628,17 @@ def delete_tenant_project(tenant_project_id):
 @roles_accepted('Super User', 'Partner Admin', 'Tenant Admin')
 def tenant_make():
     form = TenantMakeForm()
+    customisation_config = cache_manager.customisations_config_cache.get_config("CHAT_CLIENT_CUSTOMISATION")
+    default_customisation_options = create_default_config_from_type_config(customisation_config["configuration"])
+    form.add_dynamic_fields("configuration", customisation_config, default_customisation_options)
+
     if form.validate_on_submit():
         tenant_id = session['tenant']['id']
         new_tenant_make = TenantMake()
         form.populate_obj(new_tenant_make)
         new_tenant_make.tenant_id = tenant_id
-        customisation_config = cache_manager.customisations_config_cache.get_config("CHAT_CLIENT_CUSTOMISATION")
+        customisation_options = form.get_dynamic_data("configuration")
-        new_tenant_make.chat_customisation_options = create_default_config_from_type_config(
+        new_tenant_make.chat_customisation_options = json.dumps(customisation_options)
-            customisation_config["configuration"])
-        form.add_dynamic_fields("configuration", customisation_config, new_tenant_make.chat_customisation_options)
         set_logging_information(new_tenant_make, dt.now(tz.utc))
 
         try:

eveai_chat_workers/specialists/traicie/TRAICIE_ROLE_DEFINITION_SPECIALIST/1_3.py

@@ -0,0 +1,198 @@
+import asyncio
+import json
+from os import wait
+from typing import Optional, List
+
+from crewai.flow.flow import start, listen, and_
+from flask import current_app
+from pydantic import BaseModel, Field
+from sqlalchemy.exc import SQLAlchemyError
+
+from common.extensions import db
+from common.models.user import Tenant
+from common.models.interaction import Specialist
+from eveai_chat_workers.outputs.globals.basic_types.list_item import ListItem
+from eveai_chat_workers.specialists.crewai_base_specialist import CrewAIBaseSpecialistExecutor
+from eveai_chat_workers.specialists.specialist_typing import SpecialistResult, SpecialistArguments
+from eveai_chat_workers.outputs.traicie.competencies.competencies_v1_1 import Competencies
+from eveai_chat_workers.specialists.crewai_base_classes import EveAICrewAICrew, EveAICrewAIFlow, EveAIFlowState
+from common.services.interaction.specialist_services import SpecialistServices
+
+
+class SpecialistExecutor(CrewAIBaseSpecialistExecutor):
+    """
+    type: TRAICIE_ROLE_DEFINITION_SPECIALIST
+    type_version: 1.0
+    Traicie Role Definition Specialist Executor class
+    """
+
+    def __init__(self, tenant_id, specialist_id, session_id, task_id, **kwargs):
+        self.role_definition_crew = None
+
+        super().__init__(tenant_id, specialist_id, session_id, task_id)
+
+        # Load the Tenant & set language
+        self.tenant = Tenant.query.get_or_404(tenant_id)
+
+    @property
+    def type(self) -> str:
+        return "TRAICIE_ROLE_DEFINITION_SPECIALIST"
+
+    @property
+    def type_version(self) -> str:
+        return "1.3"
+
+    def _config_task_agents(self):
+        self._add_task_agent("traicie_get_competencies_task", "traicie_hr_bp_agent")
+
+    def _config_pydantic_outputs(self):
+        self._add_pydantic_output("traicie_get_competencies_task", Competencies, "competencies")
+
+    def _instantiate_specialist(self):
+        verbose = self.tuning
+
+        role_definition_agents = [self.traicie_hr_bp_agent]
+        role_definition_tasks = [self.traicie_get_competencies_task]
+        self.role_definition_crew = EveAICrewAICrew(
+            self,
+            "Role Definition Crew",
+            agents=role_definition_agents,
+            tasks=role_definition_tasks,
+            verbose=verbose,
+        )
+
+        self.flow = RoleDefinitionFlow(
+            self,
+            self.role_definition_crew
+        )
+
+    def execute(self, arguments: SpecialistArguments, formatted_context, citations) -> SpecialistResult:
+        self.log_tuning("Traicie Role Definition Specialist execution started", {})
+
+        flow_inputs = {
+            "vacancy_text": arguments.vacancy_text,
+            "role_name": arguments.role_name,
+            'role_reference': arguments.role_reference,
+        }
+
+        flow_results = self.flow.kickoff(inputs=flow_inputs)
+
+        flow_state = self.flow.state
+
+        results = RoleDefinitionSpecialistResult.create_for_type(self.type, self.type_version)
+        if flow_state.competencies:
+            results.competencies = flow_state.competencies
+
+        self.create_selection_specialist(arguments, flow_state.competencies)
+
+        self.log_tuning(f"Traicie Role Definition Specialist execution ended", {"Results": results.model_dump()})
+
+        return results
+
+    def create_selection_specialist(self, arguments: SpecialistArguments, competencies: List[ListItem]):
+        """This method creates a new TRAICIE_SELECTION_SPECIALIST specialist with the given competencies."""
+        current_app.logger.info(f"Creating selection with arguments: {arguments.model_dump()}")
+        selection_comptencies = []
+        for competency in competencies:
+            selection_competency = {
+                "title": competency.title,
+                "description": competency.description,
+                "assess": True,
+                "is_knockout": False,
+            }
+            selection_comptencies.append(selection_competency)
+
+        selection_config = {
+            "name": arguments.specialist_name,
+            "competencies": selection_comptencies,
+            "tone_of_voice": "Professional & Neutral",
+            "language_level": "Standard",
+            "role_reference": arguments.role_reference,
+            "make": arguments.make,
+        }
+        name = arguments.role_name
+        if len(name) > 50:
+            name = name[:47] + "..."
+
+        new_specialist = Specialist(
+            name=name,
+            description=f"Specialist for {arguments.role_name} role",
+            type="TRAICIE_SELECTION_SPECIALIST",
+            type_version="1.1",
+            tuning=False,
+            configuration=selection_config,
+        )
+        try:
+            db.session.add(new_specialist)
+            db.session.commit()
+        except SQLAlchemyError as e:
+            db.session.rollback()
+            current_app.logger.error(f"Error creating selection specialist: {str(e)}")
+            raise e
+
+        SpecialistServices.initialize_specialist(new_specialist.id, "TRAICIE_SELECTION_SPECIALIST", "1.0")
+
+
+
+
+class RoleDefinitionSpecialistInput(BaseModel):
+    role_name: str = Field(..., alias="role_name")
+    role_reference: Optional[str] = Field(..., alias="role_reference")
+    vacancy_text: Optional[str] = Field(None, alias="vacancy_text")
+
+
+class RoleDefinitionSpecialistResult(SpecialistResult):
+    competencies: Optional[List[ListItem]] = None
+
+
+class RoleDefFlowState(EveAIFlowState):
+    """Flow state for Traicie Role Definition specialist that automatically updates from task outputs"""
+    input: Optional[RoleDefinitionSpecialistInput] = None
+    competencies: Optional[List[ListItem]] = None
+
+
+class RoleDefinitionFlow(EveAICrewAIFlow[RoleDefFlowState]):
+    def __init__(self,
+                 specialist_executor: CrewAIBaseSpecialistExecutor,
+                 role_definitiion_crew: EveAICrewAICrew,
+                 **kwargs):
+        super().__init__(specialist_executor, "Traicie Role Definition Specialist Flow", **kwargs)
+        self.specialist_executor = specialist_executor
+        self.role_definition_crew = role_definitiion_crew
+        self.exception_raised = False
+
+    @start()
+    def process_inputs(self):
+        return ""
+
+    @listen(process_inputs)
+    async def execute_role_definition   (self):
+        inputs = self.state.input.model_dump()
+        try:
+            current_app.logger.debug("In execute_role_definition")
+            crew_output = await self.role_definition_crew.kickoff_async(inputs=inputs)
+            # Unfortunately, crew_output will only contain the output of the latest task.
+            # As we will only take into account the flow state, we need to ensure both competencies and criteria
+            # are copies to the flow state.
+            update = {}
+            for task in self.role_definition_crew.tasks:
+                current_app.logger.debug(f"Task {task.name} output:\n{task.output}")
+                if task.name == "traicie_get_competencies_task":
+                    # update["competencies"] = task.output.pydantic.competencies
+                    self.state.competencies = task.output.pydantic.competencies
+            # crew_output.pydantic = crew_output.pydantic.model_copy(update=update)
+            current_app.logger.debug(f"State after execute_role_definition: {self.state}")
+            current_app.logger.debug(f"State dump after execute_role_definition: {self.state.model_dump()}")
+            return crew_output
+        except Exception as e:
+            current_app.logger.error(f"CREW execute_role_definition Kickoff Error: {str(e)}")
+            self.exception_raised = True
+            raise e
+
+    async def kickoff_async(self, inputs=None):
+        current_app.logger.debug(f"Async kickoff {self.name}")
+        current_app.logger.debug(f"Inputs: {inputs}")
+        self.state.input = RoleDefinitionSpecialistInput.model_validate(inputs)
+        current_app.logger.debug(f"State: {self.state}")
+        result = await super().kickoff_async(inputs)
+        return self.state

eveai_chat_workers/specialists/traicie/TRAICIE_SELECTION_SPECIALIST/1_1.py

@@ -0,0 +1,197 @@
+import asyncio
+import json
+from os import wait
+from typing import Optional, List
+
+from crewai.flow.flow import start, listen, and_
+from flask import current_app
+from pydantic import BaseModel, Field
+from sqlalchemy.exc import SQLAlchemyError
+
+from common.extensions import db
+from common.models.user import Tenant
+from common.models.interaction import Specialist
+from eveai_chat_workers.outputs.globals.basic_types.list_item import ListItem
+from eveai_chat_workers.specialists.crewai_base_specialist import CrewAIBaseSpecialistExecutor
+from eveai_chat_workers.specialists.specialist_typing import SpecialistResult, SpecialistArguments
+from eveai_chat_workers.outputs.traicie.competencies.competencies_v1_1 import Competencies
+from eveai_chat_workers.specialists.crewai_base_classes import EveAICrewAICrew, EveAICrewAIFlow, EveAIFlowState
+from common.services.interaction.specialist_services import SpecialistServices
+
+
+class SpecialistExecutor(CrewAIBaseSpecialistExecutor):
+    """
+    type: TRAICIE_SELECTION_SPECIALIST
+    type_version: 1.0
+    Traicie Selection Specialist Executor class
+    """
+
+    def __init__(self, tenant_id, specialist_id, session_id, task_id, **kwargs):
+        self.role_definition_crew = None
+
+        super().__init__(tenant_id, specialist_id, session_id, task_id)
+
+        # Load the Tenant & set language
+        self.tenant = Tenant.query.get_or_404(tenant_id)
+
+    @property
+    def type(self) -> str:
+        return "TRAICIE_SELECTION_SPECIALIST"
+
+    @property
+    def type_version(self) -> str:
+        return "1.0"
+
+    def _config_task_agents(self):
+        self._add_task_agent("traicie_get_competencies_task", "traicie_hr_bp_agent")
+
+    def _config_pydantic_outputs(self):
+        self._add_pydantic_output("traicie_get_competencies_task", Competencies, "competencies")
+
+    def _instantiate_specialist(self):
+        verbose = self.tuning
+
+        role_definition_agents = [self.traicie_hr_bp_agent]
+        role_definition_tasks = [self.traicie_get_competencies_task]
+        self.role_definition_crew = EveAICrewAICrew(
+            self,
+            "Role Definition Crew",
+            agents=role_definition_agents,
+            tasks=role_definition_tasks,
+            verbose=verbose,
+        )
+
+        self.flow = RoleDefinitionFlow(
+            self,
+            self.role_definition_crew
+        )
+
+    def execute(self, arguments: SpecialistArguments, formatted_context, citations) -> SpecialistResult:
+        self.log_tuning("Traicie Role Definition Specialist execution started", {})
+
+        flow_inputs = {
+            "vacancy_text": arguments.vacancy_text,
+            "role_name": arguments.role_name,
+            'role_reference': arguments.role_reference,
+        }
+
+        flow_results = self.flow.kickoff(inputs=flow_inputs)
+
+        flow_state = self.flow.state
+
+        results = RoleDefinitionSpecialistResult.create_for_type(self.type, self.type_version)
+        if flow_state.competencies:
+            results.competencies = flow_state.competencies
+
+        self.create_selection_specialist(arguments, flow_state.competencies)
+
+        self.log_tuning(f"Traicie Role Definition Specialist execution ended", {"Results": results.model_dump()})
+
+        return results
+
+    def create_selection_specialist(self, arguments: SpecialistArguments, competencies: List[ListItem]):
+        """This method creates a new TRAICIE_SELECTION_SPECIALIST specialist with the given competencies."""
+        current_app.logger.info(f"Creating selection with arguments: {arguments.model_dump()}")
+        selection_comptencies = []
+        for competency in competencies:
+            selection_competency = {
+                "title": competency.title,
+                "description": competency.description,
+                "assess": True,
+                "is_knockout": False,
+            }
+            selection_comptencies.append(selection_competency)
+
+        selection_config = {
+            "name": arguments.specialist_name,
+            "competencies": selection_comptencies,
+            "tone_of_voice": "Professional & Neutral",
+            "language_level": "Standard",
+            "role_reference": arguments.role_reference,
+        }
+        name = arguments.role_name
+        if len(name) > 50:
+            name = name[:47] + "..."
+
+        new_specialist = Specialist(
+            name=name,
+            description=f"Specialist for {arguments.role_name} role",
+            type="TRAICIE_SELECTION_SPECIALIST",
+            type_version="1.0",
+            tuning=False,
+            configuration=selection_config,
+        )
+        try:
+            db.session.add(new_specialist)
+            db.session.commit()
+        except SQLAlchemyError as e:
+            db.session.rollback()
+            current_app.logger.error(f"Error creating selection specialist: {str(e)}")
+            raise e
+
+        SpecialistServices.initialize_specialist(new_specialist.id, "TRAICIE_SELECTION_SPECIALIST", "1.0")
+
+
+
+
+class RoleDefinitionSpecialistInput(BaseModel):
+    role_name: str = Field(..., alias="role_name")
+    role_reference: Optional[str] = Field(..., alias="role_reference")
+    vacancy_text: Optional[str] = Field(None, alias="vacancy_text")
+
+
+class RoleDefinitionSpecialistResult(SpecialistResult):
+    competencies: Optional[List[ListItem]] = None
+
+
+class RoleDefFlowState(EveAIFlowState):
+    """Flow state for Traicie Role Definition specialist that automatically updates from task outputs"""
+    input: Optional[RoleDefinitionSpecialistInput] = None
+    competencies: Optional[List[ListItem]] = None
+
+
+class RoleDefinitionFlow(EveAICrewAIFlow[RoleDefFlowState]):
+    def __init__(self,
+                 specialist_executor: CrewAIBaseSpecialistExecutor,
+                 role_definitiion_crew: EveAICrewAICrew,
+                 **kwargs):
+        super().__init__(specialist_executor, "Traicie Role Definition Specialist Flow", **kwargs)
+        self.specialist_executor = specialist_executor
+        self.role_definition_crew = role_definitiion_crew
+        self.exception_raised = False
+
+    @start()
+    def process_inputs(self):
+        return ""
+
+    @listen(process_inputs)
+    async def execute_role_definition   (self):
+        inputs = self.state.input.model_dump()
+        try:
+            current_app.logger.debug("In execute_role_definition")
+            crew_output = await self.role_definition_crew.kickoff_async(inputs=inputs)
+            # Unfortunately, crew_output will only contain the output of the latest task.
+            # As we will only take into account the flow state, we need to ensure both competencies and criteria
+            # are copies to the flow state.
+            update = {}
+            for task in self.role_definition_crew.tasks:
+                current_app.logger.debug(f"Task {task.name} output:\n{task.output}")
+                if task.name == "traicie_get_competencies_task":
+                    # update["competencies"] = task.output.pydantic.competencies
+                    self.state.competencies = task.output.pydantic.competencies
+            # crew_output.pydantic = crew_output.pydantic.model_copy(update=update)
+            current_app.logger.debug(f"State after execute_role_definition: {self.state}")
+            current_app.logger.debug(f"State dump after execute_role_definition: {self.state.model_dump()}")
+            return crew_output
+        except Exception as e:
+            current_app.logger.error(f"CREW execute_role_definition Kickoff Error: {str(e)}")
+            self.exception_raised = True
+            raise e
+
+    async def kickoff_async(self, inputs=None):
+        current_app.logger.debug(f"Async kickoff {self.name}")
+        current_app.logger.debug(f"Inputs: {inputs}")
+        self.state.input = RoleDefinitionSpecialistInput.model_validate(inputs)
+        current_app.logger.debug(f"State: {self.state}")
+        result = await super().kickoff_async(inputs)
+        return self.state

migrations/public/versions/f40d16a0965a_make_tenantmake_name_unique.py

@@ -0,0 +1,31 @@
+"""Make TenantMake name unique
+
+Revision ID: f40d16a0965a
+Revises: 200bda7f5251
+Create Date: 2025-06-09 06:15:56.791634
+
+"""
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision = 'f40d16a0965a'
+down_revision = '200bda7f5251'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('tenant_make', schema=None) as batch_op:
+        batch_op.create_unique_constraint(None, ['name'])
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table('tenant_make', schema=None) as batch_op:
+        batch_op.drop_constraint(None, type_='unique')
+
+    # ### end Alembic commands ###

migrations/tenant/versions/a179785e5362_add_active_field_to_specialist.py

@@ -0,0 +1,29 @@
+"""Add active field to Specialist
+
+Revision ID: a179785e5362
+Revises: c71facc0ce7e
+Create Date: 2025-06-09 08:30:18.532600
+
+"""
+from alembic import op
+import sqlalchemy as sa
+import pgvector
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision = 'a179785e5362'
+down_revision = 'c71facc0ce7e'
+branch_labels = None
+depends_on = None
+
+
+def upgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.add_column('specialist', sa.Column('active', sa.Boolean(), nullable=True))
+    # ### end Alembic commands ###
+
+
+def downgrade():
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_column('specialist', 'active')
+    # ### end Alembic commands ###